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| a | b/notebooks/Ensembling.ipynb | ||
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| 1 | { |
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| 2 | "cells": [ |
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| 3 | { |
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| 4 | "cell_type": "code", |
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| 5 | "execution_count": 1, |
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| 6 | "metadata": {}, |
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| 7 | "outputs": [], |
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| 8 | "source": [ |
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| 9 | "VERSION = 33\n", |
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| 10 | "\n", |
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| 11 | "FOCAL_LOSS = 0\n", |
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| 12 | "CLOUD_SINGLE = True\n", |
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| 13 | "MIXUP = False\n", |
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| 14 | "NO_BLACK_LOSS = True\n", |
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| 15 | "DATA_SMALL = False" |
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| 16 | ] |
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| 17 | }, |
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| 18 | { |
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| 19 | "cell_type": "code", |
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| 20 | "execution_count": 2, |
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| 21 | "metadata": {}, |
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| 22 | "outputs": [], |
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| 23 | "source": [ |
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| 24 | "if VERSION in [31,32]:\n", |
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| 25 | " TRAIN_ON_STAGE_1 = False\n", |
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| 26 | "else:\n", |
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| 27 | " TRAIN_ON_STAGE_1 = True\n", |
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| 28 | "\n", |
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| 29 | "if VERSION in [32,34,36]:\n", |
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| 30 | " WEIGHTED = True\n", |
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| 31 | "else:\n", |
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| 32 | " WEIGHTED = False" |
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| 33 | ] |
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| 34 | }, |
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| 35 | { |
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| 36 | "cell_type": "code", |
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| 37 | "execution_count": 3, |
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| 38 | "metadata": {}, |
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| 39 | "outputs": [], |
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| 40 | "source": [ |
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| 41 | "%run ./Code.ipynb" |
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| 42 | ] |
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| 43 | }, |
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| 44 | { |
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| 45 | "cell_type": "code", |
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| 46 | "execution_count": 4, |
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| 47 | "metadata": {}, |
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| 48 | "outputs": [], |
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| 49 | "source": [ |
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| 50 | "if VERSION in [31,32]:\n", |
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| 51 | " # old features, no stage2 training\n", |
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| 52 | " train_md, test_md = loadMetadata()\n", |
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| 53 | "elif VERSION in [33,34]:\n", |
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| 54 | " # old features, with stage2 training\n", |
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| 55 | " train_md, test_md = loadMetadata3()\n", |
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| 56 | "elif VERSION in [35,36]:\n", |
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| 57 | " # new features\n", |
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| 58 | " train_md, test_md = loadMetadata2()" |
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| 59 | ] |
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| 60 | }, |
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| 61 | { |
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| 62 | "cell_type": "markdown", |
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| 63 | "metadata": {}, |
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| 64 | "source": [ |
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| 65 | "# OOF" |
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| 66 | ] |
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| 67 | }, |
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| 68 | { |
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| 69 | "cell_type": "code", |
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| 70 | "execution_count": 21, |
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| 71 | "metadata": { |
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| 72 | "scrolled": true |
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| 73 | }, |
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| 74 | "outputs": [ |
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| 75 | { |
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| 76 | "name": "stdout", |
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| 77 | "output_type": "stream", |
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| 78 | "text": [ |
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| 79 | "completed epochs: 3 iters starting now: 32\n", |
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| 80 | "adding dummy serieses 14\n", |
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| 81 | "DataSet 7 valid size 7232 fold 0\n", |
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| 82 | "dataset valid: 7232 loader valid: 226\n", |
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| 83 | "loading model model.b3.f0.d7.v34\n", |
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| 84 | "setFeats, augmentation -1\n", |
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| 85 | "Batch 50 device: cuda time passed: 11.039 time per batch: 0.221\n", |
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| 86 | "Batch 100 device: cuda time passed: 19.674 time per batch: 0.197\n", |
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| 87 | "Batch 150 device: cuda time passed: 28.256 time per batch: 0.188\n", |
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| 88 | "Batch 200 device: cuda time passed: 36.735 time per batch: 0.184\n", |
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| 89 | "ver 34, iter 0, fold 0, val ll: 0.0629, cor: 0.8425, auc: 0.9882\n", |
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| 90 | "setFeats, augmentation -1\n", |
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| 91 | "Batch 50 device: cuda time passed: 11.369 time per batch: 0.227\n", |
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| 92 | "Batch 100 device: cuda time passed: 19.874 time per batch: 0.199\n", |
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| 93 | "Batch 150 device: cuda time passed: 28.322 time per batch: 0.189\n", |
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| 94 | "Batch 200 device: cuda time passed: 36.820 time per batch: 0.184\n", |
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| 95 | "ver 34, iter 1, fold 0, val ll: 0.0633, cor: 0.8416, auc: 0.9880\n", |
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| 96 | "setFeats, augmentation -1\n", |
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| 97 | "Batch 50 device: cuda time passed: 11.085 time per batch: 0.222\n", |
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| 98 | "Batch 100 device: cuda time passed: 19.790 time per batch: 0.198\n", |
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| 99 | "Batch 150 device: cuda time passed: 28.354 time per batch: 0.189\n", |
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| 100 | "Batch 200 device: cuda time passed: 36.403 time per batch: 0.182\n", |
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| 101 | "ver 34, iter 2, fold 0, val ll: 0.0630, cor: 0.8423, auc: 0.9881\n", |
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| 102 | "setFeats, augmentation -1\n", |
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| 103 | "Batch 50 device: cuda time passed: 11.630 time per batch: 0.233\n", |
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| 104 | "Batch 100 device: cuda time passed: 20.129 time per batch: 0.201\n", |
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| 105 | "Batch 150 device: cuda time passed: 28.720 time per batch: 0.191\n", |
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| 106 | "Batch 200 device: cuda time passed: 36.561 time per batch: 0.183\n", |
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| 107 | "ver 34, iter 3, fold 0, val ll: 0.0631, cor: 0.8421, auc: 0.9881\n", |
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| 108 | "setFeats, augmentation -1\n", |
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| 109 | "Batch 50 device: cuda time passed: 10.798 time per batch: 0.216\n", |
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| 110 | "Batch 100 device: cuda time passed: 20.275 time per batch: 0.203\n", |
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| 111 | "Batch 150 device: cuda time passed: 28.541 time per batch: 0.190\n", |
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| 112 | "Batch 200 device: cuda time passed: 36.693 time per batch: 0.183\n", |
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| 113 | "ver 34, iter 4, fold 0, val ll: 0.0630, cor: 0.8427, auc: 0.9880\n", |
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| 114 | "setFeats, augmentation -1\n", |
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| 115 | "Batch 50 device: cuda time passed: 11.537 time per batch: 0.231\n", |
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| 116 | "Batch 100 device: cuda time passed: 20.034 time per batch: 0.200\n", |
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| 117 | "Batch 150 device: cuda time passed: 29.120 time per batch: 0.194\n", |
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| 118 | "Batch 200 device: cuda time passed: 37.470 time per batch: 0.187\n", |
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| 119 | "ver 34, iter 5, fold 0, val ll: 0.0631, cor: 0.8419, auc: 0.9881\n", |
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| 120 | "setFeats, augmentation -1\n", |
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| 121 | "Batch 50 device: cuda time passed: 11.616 time per batch: 0.232\n", |
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| 122 | "Batch 100 device: cuda time passed: 20.549 time per batch: 0.205\n", |
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| 123 | "Batch 150 device: cuda time passed: 28.847 time per batch: 0.192\n", |
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| 124 | "Batch 200 device: cuda time passed: 37.005 time per batch: 0.185\n", |
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| 125 | "ver 34, iter 6, fold 0, val ll: 0.0632, cor: 0.8420, auc: 0.9881\n", |
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| 126 | "setFeats, augmentation -1\n", |
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| 127 | "Batch 50 device: cuda time passed: 11.390 time per batch: 0.228\n", |
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| 128 | "Batch 100 device: cuda time passed: 19.692 time per batch: 0.197\n", |
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| 129 | "Batch 150 device: cuda time passed: 28.482 time per batch: 0.190\n", |
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| 130 | "Batch 200 device: cuda time passed: 37.211 time per batch: 0.186\n", |
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| 131 | "ver 34, iter 7, fold 0, val ll: 0.0632, cor: 0.8418, auc: 0.9880\n", |
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| 132 | "setFeats, augmentation -1\n", |
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| 133 | "Batch 50 device: cuda time passed: 11.109 time per batch: 0.222\n", |
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| 134 | "Batch 100 device: cuda time passed: 19.665 time per batch: 0.197\n", |
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| 135 | "Batch 150 device: cuda time passed: 27.973 time per batch: 0.186\n", |
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| 136 | "Batch 200 device: cuda time passed: 36.279 time per batch: 0.181\n", |
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| 137 | "ver 34, iter 8, fold 0, val ll: 0.0631, cor: 0.8422, auc: 0.9881\n", |
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| 138 | "setFeats, augmentation -1\n", |
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| 139 | "Batch 50 device: cuda time passed: 11.182 time per batch: 0.224\n", |
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| 140 | "Batch 100 device: cuda time passed: 20.280 time per batch: 0.203\n", |
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| 141 | "Batch 150 device: cuda time passed: 28.800 time per batch: 0.192\n", |
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| 142 | "Batch 200 device: cuda time passed: 37.683 time per batch: 0.188\n", |
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| 143 | "ver 34, iter 9, fold 0, val ll: 0.0632, cor: 0.8418, auc: 0.9880\n", |
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| 144 | "setFeats, augmentation -1\n", |
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| 145 | "Batch 50 device: cuda time passed: 11.546 time per batch: 0.231\n", |
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| 146 | "Batch 100 device: cuda time passed: 19.935 time per batch: 0.199\n", |
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| 147 | "Batch 150 device: cuda time passed: 28.393 time per batch: 0.189\n", |
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| 148 | "Batch 200 device: cuda time passed: 37.353 time per batch: 0.187\n", |
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| 149 | "ver 34, iter 10, fold 0, val ll: 0.0631, cor: 0.8419, auc: 0.9881\n", |
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| 150 | "setFeats, augmentation -1\n", |
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| 151 | "Batch 50 device: cuda time passed: 11.706 time per batch: 0.234\n", |
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| 152 | "Batch 100 device: cuda time passed: 20.097 time per batch: 0.201\n", |
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| 153 | "Batch 150 device: cuda time passed: 28.629 time per batch: 0.191\n", |
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| 154 | "Batch 200 device: cuda time passed: 36.971 time per batch: 0.185\n", |
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| 155 | "ver 34, iter 11, fold 0, val ll: 0.0632, cor: 0.8416, auc: 0.9880\n", |
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| 156 | "setFeats, augmentation -1\n", |
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| 157 | "Batch 50 device: cuda time passed: 11.344 time per batch: 0.227\n", |
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| 158 | "Batch 100 device: cuda time passed: 20.333 time per batch: 0.203\n", |
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| 159 | "Batch 150 device: cuda time passed: 28.633 time per batch: 0.191\n", |
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| 160 | "Batch 200 device: cuda time passed: 36.853 time per batch: 0.184\n", |
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| 161 | "ver 34, iter 12, fold 0, val ll: 0.0632, cor: 0.8418, auc: 0.9880\n", |
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| 162 | "setFeats, augmentation -1\n", |
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| 163 | "Batch 50 device: cuda time passed: 10.884 time per batch: 0.218\n", |
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| 164 | "Batch 100 device: cuda time passed: 19.948 time per batch: 0.199\n", |
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| 165 | "Batch 150 device: cuda time passed: 28.653 time per batch: 0.191\n", |
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| 166 | "Batch 200 device: cuda time passed: 37.139 time per batch: 0.186\n", |
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| 167 | "ver 34, iter 13, fold 0, val ll: 0.0632, cor: 0.8422, auc: 0.9880\n", |
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| 168 | "setFeats, augmentation -1\n", |
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| 169 | "Batch 50 device: cuda time passed: 11.232 time per batch: 0.225\n", |
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| 170 | "Batch 100 device: cuda time passed: 19.680 time per batch: 0.197\n", |
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| 171 | "Batch 150 device: cuda time passed: 28.180 time per batch: 0.188\n", |
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| 172 | "Batch 200 device: cuda time passed: 36.829 time per batch: 0.184\n", |
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| 173 | "ver 34, iter 14, fold 0, val ll: 0.0631, cor: 0.8422, auc: 0.9881\n", |
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| 174 | "setFeats, augmentation -1\n", |
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| 175 | "Batch 50 device: cuda time passed: 11.134 time per batch: 0.223\n", |
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| 176 | "Batch 100 device: cuda time passed: 19.750 time per batch: 0.197\n", |
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| 177 | "Batch 150 device: cuda time passed: 28.254 time per batch: 0.188\n", |
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| 178 | "Batch 200 device: cuda time passed: 37.052 time per batch: 0.185\n", |
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| 179 | "ver 34, iter 15, fold 0, val ll: 0.0632, cor: 0.8419, auc: 0.9880\n", |
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| 180 | "setFeats, augmentation -1\n", |
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| 181 | "Batch 50 device: cuda time passed: 11.076 time per batch: 0.222\n", |
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| 182 | "Batch 100 device: cuda time passed: 19.921 time per batch: 0.199\n", |
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| 183 | "Batch 150 device: cuda time passed: 28.521 time per batch: 0.190\n", |
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| 184 | "Batch 200 device: cuda time passed: 36.744 time per batch: 0.184\n", |
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| 185 | "ver 34, iter 16, fold 0, val ll: 0.0633, cor: 0.8417, auc: 0.9880\n", |
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| 186 | "setFeats, augmentation -1\n", |
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| 187 | "Batch 50 device: cuda time passed: 10.846 time per batch: 0.217\n", |
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| 188 | "Batch 100 device: cuda time passed: 20.198 time per batch: 0.202\n", |
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| 189 | "Batch 150 device: cuda time passed: 28.638 time per batch: 0.191\n", |
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| 190 | "Batch 200 device: cuda time passed: 36.762 time per batch: 0.184\n", |
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| 191 | "ver 34, iter 17, fold 0, val ll: 0.0631, cor: 0.8423, auc: 0.9880\n", |
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| 192 | "setFeats, augmentation -1\n", |
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| 193 | "Batch 50 device: cuda time passed: 11.145 time per batch: 0.223\n", |
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| 194 | "Batch 100 device: cuda time passed: 19.770 time per batch: 0.198\n", |
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| 195 | "Batch 150 device: cuda time passed: 28.000 time per batch: 0.187\n", |
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| 196 | "Batch 200 device: cuda time passed: 36.639 time per batch: 0.183\n", |
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| 197 | "ver 34, iter 18, fold 0, val ll: 0.0631, cor: 0.8418, auc: 0.9881\n", |
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| 198 | "setFeats, augmentation -1\n", |
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| 199 | "Batch 50 device: cuda time passed: 10.940 time per batch: 0.219\n", |
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| 200 | "Batch 100 device: cuda time passed: 19.199 time per batch: 0.192\n", |
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| 201 | "Batch 150 device: cuda time passed: 27.382 time per batch: 0.183\n", |
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| 202 | "Batch 200 device: cuda time passed: 35.991 time per batch: 0.180\n", |
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| 203 | "ver 34, iter 19, fold 0, val ll: 0.0633, cor: 0.8418, auc: 0.9880\n", |
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| 204 | "setFeats, augmentation -1\n", |
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| 205 | "Batch 50 device: cuda time passed: 11.303 time per batch: 0.226\n", |
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| 206 | "Batch 100 device: cuda time passed: 20.052 time per batch: 0.201\n", |
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| 207 | "Batch 150 device: cuda time passed: 28.800 time per batch: 0.192\n", |
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| 208 | "Batch 200 device: cuda time passed: 37.209 time per batch: 0.186\n", |
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| 209 | "ver 34, iter 20, fold 0, val ll: 0.0631, cor: 0.8419, auc: 0.9881\n", |
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| 210 | "setFeats, augmentation -1\n", |
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| 211 | "Batch 50 device: cuda time passed: 11.012 time per batch: 0.220\n", |
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| 212 | "Batch 100 device: cuda time passed: 19.801 time per batch: 0.198\n", |
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| 213 | "Batch 150 device: cuda time passed: 28.285 time per batch: 0.189\n", |
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| 214 | "Batch 200 device: cuda time passed: 36.655 time per batch: 0.183\n", |
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| 215 | "ver 34, iter 21, fold 0, val ll: 0.0631, cor: 0.8419, auc: 0.9881\n", |
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| 216 | "setFeats, augmentation -1\n", |
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| 217 | "Batch 50 device: cuda time passed: 11.588 time per batch: 0.232\n", |
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| 218 | "Batch 100 device: cuda time passed: 19.972 time per batch: 0.200\n", |
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| 219 | "Batch 150 device: cuda time passed: 28.349 time per batch: 0.189\n", |
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| 220 | "Batch 200 device: cuda time passed: 36.708 time per batch: 0.184\n", |
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| 221 | "ver 34, iter 22, fold 0, val ll: 0.0632, cor: 0.8421, auc: 0.9880\n", |
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| 222 | "setFeats, augmentation -1\n" |
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| 223 | ] |
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| 224 | }, |
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| 225 | { |
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| 226 | "name": "stdout", |
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| 227 | "output_type": "stream", |
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| 228 | "text": [ |
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| 229 | "Batch 50 device: cuda time passed: 11.373 time per batch: 0.227\n", |
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| 230 | "Batch 100 device: cuda time passed: 19.848 time per batch: 0.198\n", |
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| 231 | "Batch 150 device: cuda time passed: 28.645 time per batch: 0.191\n", |
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| 232 | "Batch 200 device: cuda time passed: 37.166 time per batch: 0.186\n", |
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| 233 | "ver 34, iter 23, fold 0, val ll: 0.0631, cor: 0.8424, auc: 0.9881\n", |
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| 234 | "setFeats, augmentation -1\n", |
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| 235 | "Batch 50 device: cuda time passed: 11.732 time per batch: 0.235\n", |
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| 236 | "Batch 100 device: cuda time passed: 20.379 time per batch: 0.204\n", |
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| 237 | "Batch 150 device: cuda time passed: 28.964 time per batch: 0.193\n", |
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| 238 | "Batch 200 device: cuda time passed: 37.185 time per batch: 0.186\n", |
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| 239 | "ver 34, iter 24, fold 0, val ll: 0.0632, cor: 0.8421, auc: 0.9880\n", |
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| 240 | "setFeats, augmentation -1\n", |
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| 241 | "Batch 50 device: cuda time passed: 10.942 time per batch: 0.219\n", |
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| 242 | "Batch 100 device: cuda time passed: 19.584 time per batch: 0.196\n", |
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| 243 | "Batch 150 device: cuda time passed: 27.962 time per batch: 0.186\n", |
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| 244 | "Batch 200 device: cuda time passed: 36.295 time per batch: 0.181\n", |
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| 245 | "ver 34, iter 25, fold 0, val ll: 0.0631, cor: 0.8421, auc: 0.9880\n", |
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| 246 | "setFeats, augmentation -1\n", |
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| 247 | "Batch 50 device: cuda time passed: 11.547 time per batch: 0.231\n", |
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| 248 | "Batch 100 device: cuda time passed: 19.793 time per batch: 0.198\n", |
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| 249 | "Batch 150 device: cuda time passed: 28.204 time per batch: 0.188\n", |
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| 250 | "Batch 200 device: cuda time passed: 36.624 time per batch: 0.183\n", |
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| 251 | "ver 34, iter 26, fold 0, val ll: 0.0630, cor: 0.8426, auc: 0.9881\n", |
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| 252 | "setFeats, augmentation -1\n", |
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| 253 | "Batch 50 device: cuda time passed: 10.957 time per batch: 0.219\n", |
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| 254 | "Batch 100 device: cuda time passed: 18.892 time per batch: 0.189\n", |
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| 255 | "Batch 150 device: cuda time passed: 27.679 time per batch: 0.185\n", |
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| 256 | "Batch 200 device: cuda time passed: 36.440 time per batch: 0.182\n", |
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| 257 | "ver 34, iter 27, fold 0, val ll: 0.0630, cor: 0.8422, auc: 0.9881\n", |
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| 258 | "setFeats, augmentation -1\n", |
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| 259 | "Batch 50 device: cuda time passed: 10.715 time per batch: 0.214\n", |
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| 260 | "Batch 100 device: cuda time passed: 19.980 time per batch: 0.200\n", |
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| 261 | "Batch 150 device: cuda time passed: 28.835 time per batch: 0.192\n", |
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| 262 | "Batch 200 device: cuda time passed: 37.150 time per batch: 0.186\n", |
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| 263 | "ver 34, iter 28, fold 0, val ll: 0.0633, cor: 0.8417, auc: 0.9880\n", |
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| 264 | "setFeats, augmentation -1\n", |
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| 265 | "Batch 50 device: cuda time passed: 11.384 time per batch: 0.228\n", |
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| 266 | "Batch 100 device: cuda time passed: 19.805 time per batch: 0.198\n", |
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| 267 | "Batch 150 device: cuda time passed: 28.613 time per batch: 0.191\n", |
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| 268 | "Batch 200 device: cuda time passed: 37.061 time per batch: 0.185\n", |
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| 269 | "ver 34, iter 29, fold 0, val ll: 0.0631, cor: 0.8421, auc: 0.9881\n", |
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| 270 | "setFeats, augmentation -1\n", |
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| 271 | "Batch 50 device: cuda time passed: 11.388 time per batch: 0.228\n", |
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| 272 | "Batch 100 device: cuda time passed: 19.790 time per batch: 0.198\n", |
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| 273 | "Batch 150 device: cuda time passed: 28.816 time per batch: 0.192\n", |
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| 274 | "Batch 200 device: cuda time passed: 36.974 time per batch: 0.185\n", |
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| 275 | "ver 34, iter 30, fold 0, val ll: 0.0633, cor: 0.8417, auc: 0.9880\n", |
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| 276 | "setFeats, augmentation -1\n", |
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| 277 | "Batch 50 device: cuda time passed: 10.891 time per batch: 0.218\n", |
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| 278 | "Batch 100 device: cuda time passed: 19.773 time per batch: 0.198\n", |
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| 279 | "Batch 150 device: cuda time passed: 28.208 time per batch: 0.188\n", |
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| 280 | "Batch 200 device: cuda time passed: 36.513 time per batch: 0.183\n", |
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| 281 | "ver 34, iter 31, fold 0, val ll: 0.0632, cor: 0.8419, auc: 0.9880\n", |
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| 282 | "total running time 1743.487956047058\n", |
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| 283 | "total time 1744.0221991539001\n", |
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| 284 | "completed epochs: 3 iters starting now: 32\n", |
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| 285 | "adding dummy serieses 30\n", |
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| 286 | "DataSet 7 valid size 7328 fold 1\n", |
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| 287 | "dataset valid: 7328 loader valid: 229\n", |
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| 288 | "loading model model.b3.f1.d7.v34\n", |
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| 289 | "setFeats, augmentation -1\n", |
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| 290 | "Batch 50 device: cuda time passed: 11.726 time per batch: 0.235\n", |
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| 291 | "Batch 100 device: cuda time passed: 20.041 time per batch: 0.200\n", |
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| 292 | "Batch 150 device: cuda time passed: 28.446 time per batch: 0.190\n", |
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| 293 | "Batch 200 device: cuda time passed: 37.606 time per batch: 0.188\n", |
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| 294 | "ver 34, iter 0, fold 1, val ll: 0.0641, cor: 0.8352, auc: 0.9876\n", |
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| 295 | "setFeats, augmentation -1\n", |
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| 296 | "Batch 50 device: cuda time passed: 11.401 time per batch: 0.228\n", |
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| 297 | "Batch 100 device: cuda time passed: 19.701 time per batch: 0.197\n", |
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| 298 | "Batch 150 device: cuda time passed: 28.377 time per batch: 0.189\n", |
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| 299 | "Batch 200 device: cuda time passed: 37.516 time per batch: 0.188\n", |
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| 300 | "ver 34, iter 1, fold 1, val ll: 0.0644, cor: 0.8346, auc: 0.9875\n", |
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| 301 | "setFeats, augmentation -1\n", |
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| 306 | "ver 34, iter 2, fold 1, val ll: 0.0645, cor: 0.8347, auc: 0.9875\n", |
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| 312 | "ver 34, iter 3, fold 1, val ll: 0.0643, cor: 0.8352, auc: 0.9875\n", |
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| 318 | "ver 34, iter 4, fold 1, val ll: 0.0644, cor: 0.8346, auc: 0.9875\n", |
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| 319 | "setFeats, augmentation -1\n", |
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| 330 | "ver 34, iter 6, fold 1, val ll: 0.0644, cor: 0.8350, auc: 0.9875\n", |
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| 331 | "setFeats, augmentation -1\n", |
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| 336 | "ver 34, iter 7, fold 1, val ll: 0.0644, cor: 0.8346, auc: 0.9876\n", |
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| 337 | "setFeats, augmentation -1\n", |
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| 342 | "ver 34, iter 8, fold 1, val ll: 0.0643, cor: 0.8351, auc: 0.9875\n", |
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| 343 | "setFeats, augmentation -1\n", |
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| 348 | "ver 34, iter 9, fold 1, val ll: 0.0640, cor: 0.8360, auc: 0.9876\n", |
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| 349 | "setFeats, augmentation -1\n", |
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| 354 | "ver 34, iter 10, fold 1, val ll: 0.0645, cor: 0.8345, auc: 0.9875\n", |
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| 355 | "setFeats, augmentation -1\n", |
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| 356 | "Batch 50 device: cuda time passed: 11.462 time per batch: 0.229\n", |
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| 360 | "ver 34, iter 11, fold 1, val ll: 0.0643, cor: 0.8353, auc: 0.9876\n", |
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| 361 | "setFeats, augmentation -1\n", |
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| 362 | "Batch 50 device: cuda time passed: 11.183 time per batch: 0.224\n", |
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| 366 | "ver 34, iter 12, fold 1, val ll: 0.0644, cor: 0.8347, auc: 0.9875\n", |
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| 367 | "setFeats, augmentation -1\n", |
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| 372 | ] |
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| 373 | }, |
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| 374 | { |
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| 375 | "name": "stdout", |
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| 376 | "output_type": "stream", |
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| 377 | "text": [ |
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| 378 | "ver 34, iter 13, fold 1, val ll: 0.0642, cor: 0.8353, auc: 0.9876\n", |
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| 379 | "setFeats, augmentation -1\n", |
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| 380 | "Batch 50 device: cuda time passed: 10.934 time per batch: 0.219\n", |
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| 384 | "ver 34, iter 14, fold 1, val ll: 0.0644, cor: 0.8351, auc: 0.9875\n", |
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| 385 | "setFeats, augmentation -1\n", |
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| 390 | "ver 34, iter 15, fold 1, val ll: 0.0642, cor: 0.8355, auc: 0.9876\n", |
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| 391 | "setFeats, augmentation -1\n", |
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| 396 | "ver 34, iter 16, fold 1, val ll: 0.0643, cor: 0.8352, auc: 0.9875\n", |
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| 397 | "setFeats, augmentation -1\n", |
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| 402 | "ver 34, iter 17, fold 1, val ll: 0.0644, cor: 0.8349, auc: 0.9876\n", |
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| 403 | "setFeats, augmentation -1\n", |
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| 408 | "ver 34, iter 18, fold 1, val ll: 0.0642, cor: 0.8350, auc: 0.9877\n", |
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| 409 | "setFeats, augmentation -1\n", |
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| 414 | "ver 34, iter 19, fold 1, val ll: 0.0643, cor: 0.8350, auc: 0.9875\n", |
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| 415 | "setFeats, augmentation -1\n", |
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| 420 | "ver 34, iter 20, fold 1, val ll: 0.0643, cor: 0.8348, auc: 0.9876\n", |
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| 421 | "setFeats, augmentation -1\n", |
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| 422 | "Batch 50 device: cuda time passed: 11.382 time per batch: 0.228\n", |
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| 426 | "ver 34, iter 21, fold 1, val ll: 0.0644, cor: 0.8347, auc: 0.9876\n", |
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| 427 | "setFeats, augmentation -1\n", |
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| 428 | "Batch 50 device: cuda time passed: 11.454 time per batch: 0.229\n", |
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| 429 | "Batch 100 device: cuda time passed: 19.967 time per batch: 0.200\n", |
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| 432 | "ver 34, iter 22, fold 1, val ll: 0.0644, cor: 0.8347, auc: 0.9875\n", |
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| 433 | "setFeats, augmentation -1\n", |
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| 438 | "ver 34, iter 23, fold 1, val ll: 0.0644, cor: 0.8350, auc: 0.9875\n", |
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| 439 | "setFeats, augmentation -1\n", |
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| 444 | "ver 34, iter 24, fold 1, val ll: 0.0645, cor: 0.8345, auc: 0.9875\n", |
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| 445 | "setFeats, augmentation -1\n", |
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| 450 | "ver 34, iter 25, fold 1, val ll: 0.0643, cor: 0.8351, auc: 0.9876\n", |
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| 451 | "setFeats, augmentation -1\n", |
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| 456 | "ver 34, iter 26, fold 1, val ll: 0.0644, cor: 0.8349, auc: 0.9875\n", |
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| 457 | "setFeats, augmentation -1\n", |
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| 462 | "ver 34, iter 27, fold 1, val ll: 0.0644, cor: 0.8346, auc: 0.9875\n", |
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| 463 | "setFeats, augmentation -1\n", |
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| 468 | "ver 34, iter 28, fold 1, val ll: 0.0645, cor: 0.8348, auc: 0.9875\n", |
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| 469 | "setFeats, augmentation -1\n", |
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| 474 | "ver 34, iter 29, fold 1, val ll: 0.0643, cor: 0.8351, auc: 0.9876\n", |
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| 475 | "setFeats, augmentation -1\n", |
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| 477 | "Batch 100 device: cuda time passed: 19.941 time per batch: 0.199\n", |
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| 479 | "Batch 200 device: cuda time passed: 36.743 time per batch: 0.184\n", |
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| 480 | "ver 34, iter 30, fold 1, val ll: 0.0643, cor: 0.8351, auc: 0.9876\n", |
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| 481 | "setFeats, augmentation -1\n", |
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| 482 | "Batch 50 device: cuda time passed: 10.907 time per batch: 0.218\n", |
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| 483 | "Batch 100 device: cuda time passed: 19.032 time per batch: 0.190\n", |
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| 484 | "Batch 150 device: cuda time passed: 27.424 time per batch: 0.183\n", |
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| 485 | "Batch 200 device: cuda time passed: 35.915 time per batch: 0.180\n", |
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| 486 | "ver 34, iter 31, fold 1, val ll: 0.0645, cor: 0.8347, auc: 0.9875\n", |
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| 487 | "total running time 1752.2469551563263\n", |
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| 488 | "total time 3496.7637753486633\n", |
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| 489 | "completed epochs: 3 iters starting now: 32\n", |
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| 490 | "adding dummy serieses 4\n", |
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| 491 | "DataSet 7 valid size 7232 fold 2\n", |
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| 492 | "dataset valid: 7232 loader valid: 226\n", |
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| 493 | "loading model model.b3.f2.d7.v34\n", |
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| 494 | "setFeats, augmentation -1\n", |
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| 495 | "Batch 50 device: cuda time passed: 11.025 time per batch: 0.221\n", |
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| 496 | "Batch 100 device: cuda time passed: 20.043 time per batch: 0.200\n", |
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| 498 | "Batch 200 device: cuda time passed: 36.567 time per batch: 0.183\n", |
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| 499 | "ver 34, iter 0, fold 2, val ll: 0.0603, cor: 0.8423, auc: 0.9893\n", |
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| 500 | "setFeats, augmentation -1\n", |
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| 501 | "Batch 50 device: cuda time passed: 11.200 time per batch: 0.224\n", |
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| 502 | "Batch 100 device: cuda time passed: 19.679 time per batch: 0.197\n", |
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| 504 | "Batch 200 device: cuda time passed: 37.321 time per batch: 0.187\n", |
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| 505 | "ver 34, iter 1, fold 2, val ll: 0.0601, cor: 0.8425, auc: 0.9894\n", |
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| 506 | "setFeats, augmentation -1\n", |
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| 507 | "Batch 50 device: cuda time passed: 11.278 time per batch: 0.226\n", |
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| 508 | "Batch 100 device: cuda time passed: 19.971 time per batch: 0.200\n", |
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| 509 | "Batch 150 device: cuda time passed: 28.258 time per batch: 0.188\n", |
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| 510 | "Batch 200 device: cuda time passed: 36.470 time per batch: 0.182\n", |
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| 511 | "ver 34, iter 2, fold 2, val ll: 0.0603, cor: 0.8422, auc: 0.9893\n", |
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| 512 | "setFeats, augmentation -1\n", |
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| 513 | "Batch 50 device: cuda time passed: 10.465 time per batch: 0.209\n", |
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| 514 | "Batch 100 device: cuda time passed: 19.259 time per batch: 0.193\n", |
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| 515 | "Batch 150 device: cuda time passed: 27.605 time per batch: 0.184\n", |
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| 516 | "Batch 200 device: cuda time passed: 35.631 time per batch: 0.178\n", |
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| 517 | "ver 34, iter 3, fold 2, val ll: 0.0602, cor: 0.8424, auc: 0.9893\n", |
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| 518 | "setFeats, augmentation -1\n", |
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| 519 | "Batch 50 device: cuda time passed: 11.061 time per batch: 0.221\n", |
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| 520 | "Batch 100 device: cuda time passed: 19.044 time per batch: 0.190\n", |
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| 521 | "Batch 150 device: cuda time passed: 27.745 time per batch: 0.185\n" |
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| 522 | ] |
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| 523 | }, |
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| 524 | { |
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| 525 | "name": "stdout", |
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| 526 | "output_type": "stream", |
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| 527 | "text": [ |
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| 528 | "Batch 200 device: cuda time passed: 35.943 time per batch: 0.180\n", |
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| 529 | "ver 34, iter 4, fold 2, val ll: 0.0602, cor: 0.8425, auc: 0.9893\n", |
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| 530 | "setFeats, augmentation -1\n", |
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| 531 | "Batch 50 device: cuda time passed: 11.082 time per batch: 0.222\n", |
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| 532 | "Batch 100 device: cuda time passed: 19.942 time per batch: 0.199\n", |
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| 533 | "Batch 150 device: cuda time passed: 28.129 time per batch: 0.188\n", |
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| 534 | "Batch 200 device: cuda time passed: 36.673 time per batch: 0.183\n", |
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| 535 | "ver 34, iter 5, fold 2, val ll: 0.0602, cor: 0.8423, auc: 0.9894\n", |
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| 536 | "setFeats, augmentation -1\n", |
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| 537 | "Batch 50 device: cuda time passed: 11.475 time per batch: 0.229\n", |
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| 538 | "Batch 100 device: cuda time passed: 19.975 time per batch: 0.200\n", |
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| 540 | "Batch 200 device: cuda time passed: 36.868 time per batch: 0.184\n", |
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| 541 | "ver 34, iter 6, fold 2, val ll: 0.0603, cor: 0.8420, auc: 0.9893\n", |
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| 542 | "setFeats, augmentation -1\n", |
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| 543 | "Batch 50 device: cuda time passed: 11.274 time per batch: 0.225\n", |
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| 544 | "Batch 100 device: cuda time passed: 19.953 time per batch: 0.200\n", |
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| 545 | "Batch 150 device: cuda time passed: 28.659 time per batch: 0.191\n", |
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| 546 | "Batch 200 device: cuda time passed: 37.063 time per batch: 0.185\n", |
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| 547 | "ver 34, iter 7, fold 2, val ll: 0.0601, cor: 0.8425, auc: 0.9894\n", |
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| 548 | "setFeats, augmentation -1\n", |
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| 549 | "Batch 50 device: cuda time passed: 11.211 time per batch: 0.224\n", |
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| 550 | "Batch 100 device: cuda time passed: 19.499 time per batch: 0.195\n", |
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| 552 | "Batch 200 device: cuda time passed: 36.855 time per batch: 0.184\n", |
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| 553 | "ver 34, iter 8, fold 2, val ll: 0.0601, cor: 0.8427, auc: 0.9894\n", |
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| 554 | "setFeats, augmentation -1\n", |
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| 555 | "Batch 50 device: cuda time passed: 10.738 time per batch: 0.215\n", |
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| 556 | "Batch 100 device: cuda time passed: 19.813 time per batch: 0.198\n", |
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| 558 | "Batch 200 device: cuda time passed: 36.748 time per batch: 0.184\n", |
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| 559 | "ver 34, iter 9, fold 2, val ll: 0.0603, cor: 0.8423, auc: 0.9893\n", |
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| 560 | "setFeats, augmentation -1\n", |
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| 561 | "Batch 50 device: cuda time passed: 11.731 time per batch: 0.235\n", |
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| 562 | "Batch 100 device: cuda time passed: 19.783 time per batch: 0.198\n", |
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| 565 | "ver 34, iter 10, fold 2, val ll: 0.0602, cor: 0.8427, auc: 0.9893\n", |
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| 655 | "ver 34, iter 25, fold 2, val ll: 0.0603, cor: 0.8421, auc: 0.9893\n", |
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| 667 | "ver 34, iter 27, fold 2, val ll: 0.0602, cor: 0.8426, auc: 0.9893\n", |
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| 668 | "setFeats, augmentation -1\n" |
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| 669 | ] |
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| 670 | }, |
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| 671 | { |
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| 672 | "name": "stdout", |
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| 673 | "output_type": "stream", |
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| 674 | "text": [ |
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| 675 | "Batch 50 device: cuda time passed: 10.998 time per batch: 0.220\n", |
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| 679 | "ver 34, iter 28, fold 2, val ll: 0.0602, cor: 0.8424, auc: 0.9894\n", |
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| 680 | "setFeats, augmentation -1\n", |
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| 685 | "ver 34, iter 29, fold 2, val ll: 0.0603, cor: 0.8420, auc: 0.9893\n", |
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| 691 | "ver 34, iter 30, fold 2, val ll: 0.0602, cor: 0.8424, auc: 0.9894\n", |
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| 692 | "setFeats, augmentation -1\n", |
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| 697 | "ver 34, iter 31, fold 2, val ll: 0.0600, cor: 0.8430, auc: 0.9894\n", |
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| 698 | "total running time 1731.3292746543884\n", |
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| 699 | "total time 5228.603754520416\n", |
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| 700 | "completed epochs: 3 iters starting now: 32\n", |
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| 701 | "adding dummy serieses 14\n", |
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| 702 | "DataSet 9 valid size 7232 fold 0\n", |
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| 703 | "dataset valid: 7232 loader valid: 226\n", |
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| 704 | "loading model model.b3.f0.d9.v34\n", |
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| 705 | "setFeats, augmentation -1\n", |
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| 710 | "ver 34, iter 0, fold 0, val ll: 0.0632, cor: 0.8416, auc: 0.9881\n", |
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| 711 | "setFeats, augmentation -1\n", |
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| 716 | "ver 34, iter 1, fold 0, val ll: 0.0629, cor: 0.8419, auc: 0.9883\n", |
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| 717 | "setFeats, augmentation -1\n", |
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| 722 | "ver 34, iter 2, fold 0, val ll: 0.0633, cor: 0.8414, auc: 0.9880\n", |
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| 728 | "ver 34, iter 3, fold 0, val ll: 0.0631, cor: 0.8417, auc: 0.9881\n", |
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| 734 | "ver 34, iter 4, fold 0, val ll: 0.0634, cor: 0.8412, auc: 0.9880\n", |
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| 752 | "ver 34, iter 7, fold 0, val ll: 0.0631, cor: 0.8418, auc: 0.9882\n", |
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| 764 | "ver 34, iter 9, fold 0, val ll: 0.0632, cor: 0.8414, auc: 0.9880\n", |
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| 770 | "ver 34, iter 10, fold 0, val ll: 0.0632, cor: 0.8418, auc: 0.9881\n", |
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| 776 | "ver 34, iter 11, fold 0, val ll: 0.0631, cor: 0.8417, auc: 0.9882\n", |
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| 777 | "setFeats, augmentation -1\n", |
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| 782 | "ver 34, iter 12, fold 0, val ll: 0.0634, cor: 0.8411, auc: 0.9881\n", |
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| 788 | "ver 34, iter 13, fold 0, val ll: 0.0633, cor: 0.8414, auc: 0.9880\n", |
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| 789 | "setFeats, augmentation -1\n", |
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| 790 | "Batch 50 device: cuda time passed: 10.787 time per batch: 0.216\n", |
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| 794 | "ver 34, iter 14, fold 0, val ll: 0.0633, cor: 0.8416, auc: 0.9880\n", |
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| 800 | "ver 34, iter 15, fold 0, val ll: 0.0632, cor: 0.8415, auc: 0.9881\n", |
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| 801 | "setFeats, augmentation -1\n", |
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| 802 | "Batch 50 device: cuda time passed: 11.365 time per batch: 0.227\n", |
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| 806 | "ver 34, iter 16, fold 0, val ll: 0.0631, cor: 0.8418, auc: 0.9882\n", |
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| 812 | "ver 34, iter 17, fold 0, val ll: 0.0631, cor: 0.8416, auc: 0.9882\n", |
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| 813 | "setFeats, augmentation -1\n", |
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| 818 | ] |
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| 819 | }, |
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| 820 | { |
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| 821 | "name": "stdout", |
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| 822 | "output_type": "stream", |
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| 823 | "text": [ |
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| 824 | "ver 34, iter 18, fold 0, val ll: 0.0632, cor: 0.8414, auc: 0.9882\n", |
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| 825 | "setFeats, augmentation -1\n", |
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| 830 | "ver 34, iter 19, fold 0, val ll: 0.0632, cor: 0.8415, auc: 0.9882\n", |
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| 836 | "ver 34, iter 20, fold 0, val ll: 0.0634, cor: 0.8413, auc: 0.9880\n", |
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| 848 | "ver 34, iter 22, fold 0, val ll: 0.0632, cor: 0.8415, auc: 0.9882\n", |
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| 854 | "ver 34, iter 23, fold 0, val ll: 0.0631, cor: 0.8415, auc: 0.9882\n", |
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| 866 | "ver 34, iter 25, fold 0, val ll: 0.0633, cor: 0.8415, auc: 0.9881\n", |
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| 896 | "ver 34, iter 30, fold 0, val ll: 0.0632, cor: 0.8416, auc: 0.9881\n", |
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| 902 | "ver 34, iter 31, fold 0, val ll: 0.0631, cor: 0.8417, auc: 0.9881\n", |
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| 903 | "total running time 1487.4923713207245\n", |
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| 904 | "total time 6716.580273866653\n", |
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| 905 | "completed epochs: 3 iters starting now: 32\n", |
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| 906 | "adding dummy serieses 30\n", |
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| 907 | "DataSet 9 valid size 7328 fold 1\n", |
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| 908 | "dataset valid: 7328 loader valid: 229\n", |
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| 909 | "loading model model.b3.f1.d9.v34\n", |
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| 910 | "setFeats, augmentation -1\n", |
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| 911 | "Batch 50 device: cuda time passed: 11.601 time per batch: 0.232\n", |
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| 915 | "ver 34, iter 0, fold 1, val ll: 0.0633, cor: 0.8388, auc: 0.9879\n", |
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| 921 | "ver 34, iter 1, fold 1, val ll: 0.0634, cor: 0.8387, auc: 0.9879\n", |
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| 927 | "ver 34, iter 2, fold 1, val ll: 0.0634, cor: 0.8388, auc: 0.9879\n", |
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| 933 | "ver 34, iter 3, fold 1, val ll: 0.0634, cor: 0.8386, auc: 0.9879\n", |
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| 951 | "ver 34, iter 6, fold 1, val ll: 0.0631, cor: 0.8393, auc: 0.9880\n", |
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| 968 | ] |
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| 969 | }, |
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| 970 | { |
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| 971 | "name": "stdout", |
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| 972 | "output_type": "stream", |
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| 973 | "text": [ |
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| 974 | "Batch 200 device: cuda time passed: 36.950 time per batch: 0.185\n", |
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| 975 | "ver 34, iter 9, fold 1, val ll: 0.0630, cor: 0.8392, auc: 0.9880\n", |
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| 999 | "ver 34, iter 13, fold 1, val ll: 0.0633, cor: 0.8387, auc: 0.9879\n", |
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| 1000 | "setFeats, augmentation -1\n", |
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| 1077 | "ver 34, iter 26, fold 1, val ll: 0.0632, cor: 0.8391, auc: 0.9880\n", |
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| 1102 | "setFeats, augmentation -1\n", |
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| 1107 | "ver 34, iter 31, fold 1, val ll: 0.0633, cor: 0.8388, auc: 0.9879\n", |
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| 1108 | "total running time 1502.9731421470642\n", |
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| 1109 | "total time 8220.030895471573\n", |
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| 1110 | "completed epochs: 3 iters starting now: 32\n", |
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| 1111 | "adding dummy serieses 4\n", |
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| 1112 | "DataSet 9 valid size 7232 fold 2\n", |
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| 1113 | "dataset valid: 7232 loader valid: 226\n", |
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| 1114 | "loading model model.b3.f2.d9.v34\n", |
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| 1115 | "setFeats, augmentation -1\n", |
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| 1118 | ] |
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| 1119 | }, |
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| 1120 | { |
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| 1121 | "name": "stdout", |
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| 1123 | "text": [ |
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| 1124 | "Batch 150 device: cuda time passed: 28.448 time per batch: 0.190\n", |
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| 1126 | "ver 34, iter 0, fold 2, val ll: 0.0604, cor: 0.8411, auc: 0.9892\n", |
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| 1132 | "ver 34, iter 1, fold 2, val ll: 0.0603, cor: 0.8412, auc: 0.9893\n", |
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| 1138 | "ver 34, iter 2, fold 2, val ll: 0.0603, cor: 0.8413, auc: 0.9892\n", |
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| 1144 | "ver 34, iter 3, fold 2, val ll: 0.0605, cor: 0.8407, auc: 0.9892\n", |
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| 1162 | "ver 34, iter 6, fold 2, val ll: 0.0603, cor: 0.8413, auc: 0.9893\n", |
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| 1180 | "ver 34, iter 9, fold 2, val ll: 0.0604, cor: 0.8412, auc: 0.9892\n", |
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| 1181 | "setFeats, augmentation -1\n", |
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| 1210 | "ver 34, iter 14, fold 2, val ll: 0.0604, cor: 0.8411, auc: 0.9892\n", |
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| 1228 | "ver 34, iter 17, fold 2, val ll: 0.0604, cor: 0.8410, auc: 0.9892\n", |
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| 1234 | "ver 34, iter 18, fold 2, val ll: 0.0602, cor: 0.8414, auc: 0.9893\n", |
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| 1240 | "ver 34, iter 19, fold 2, val ll: 0.0603, cor: 0.8415, auc: 0.9892\n", |
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| 1246 | "ver 34, iter 20, fold 2, val ll: 0.0603, cor: 0.8413, auc: 0.9893\n", |
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| 1247 | "setFeats, augmentation -1\n", |
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| 1252 | "ver 34, iter 21, fold 2, val ll: 0.0603, cor: 0.8412, auc: 0.9892\n", |
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| 1258 | "ver 34, iter 22, fold 2, val ll: 0.0603, cor: 0.8413, auc: 0.9892\n", |
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| 1260 | "Batch 50 device: cuda time passed: 11.570 time per batch: 0.231\n", |
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| 1264 | ] |
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| 1265 | }, |
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| 1266 | { |
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| 1267 | "name": "stdout", |
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| 1268 | "output_type": "stream", |
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| 1269 | "text": [ |
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| 1270 | "ver 34, iter 23, fold 2, val ll: 0.0603, cor: 0.8414, auc: 0.9892\n", |
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| 1271 | "setFeats, augmentation -1\n", |
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| 1276 | "ver 34, iter 24, fold 2, val ll: 0.0605, cor: 0.8410, auc: 0.9891\n", |
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| 1282 | "ver 34, iter 25, fold 2, val ll: 0.0603, cor: 0.8415, auc: 0.9893\n", |
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| 1288 | "ver 34, iter 26, fold 2, val ll: 0.0605, cor: 0.8408, auc: 0.9891\n", |
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| 1294 | "ver 34, iter 27, fold 2, val ll: 0.0604, cor: 0.8410, auc: 0.9892\n", |
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| 1300 | "ver 34, iter 28, fold 2, val ll: 0.0604, cor: 0.8409, auc: 0.9892\n", |
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| 1306 | "ver 34, iter 29, fold 2, val ll: 0.0602, cor: 0.8415, auc: 0.9893\n", |
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| 1312 | "ver 34, iter 30, fold 2, val ll: 0.0603, cor: 0.8411, auc: 0.9893\n", |
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| 1313 | "setFeats, augmentation -1\n", |
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| 1314 | "Batch 50 device: cuda time passed: 11.159 time per batch: 0.223\n", |
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| 1318 | "ver 34, iter 31, fold 2, val ll: 0.0603, cor: 0.8414, auc: 0.9893\n", |
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| 1319 | "total running time 1486.592945575714\n", |
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| 1320 | "total time 9707.101170063019\n", |
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| 1321 | "completed epochs: 3 iters starting now: 32\n", |
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| 1322 | "adding dummy serieses 9\n", |
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| 1323 | "DataSet 11 valid size 4384 fold 0\n", |
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| 1324 | "dataset valid: 4384 loader valid: 137\n", |
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| 1325 | "loading model model.b3.f0.d11.v34\n", |
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| 1326 | "setFeats, augmentation -1\n", |
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| 1327 | "Batch 50 device: cuda time passed: 7.940 time per batch: 0.159\n", |
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| 1328 | "Batch 100 device: cuda time passed: 14.756 time per batch: 0.148\n", |
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| 1329 | "ver 34, iter 0, fold 0, val ll: 0.0609, cor: 0.8452, auc: 0.9888\n", |
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| 1330 | "setFeats, augmentation -1\n", |
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| 1420 | ] |
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| 1421 | }, |
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| 1422 | { |
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| 1423 | "name": "stdout", |
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| 1424 | "output_type": "stream", |
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| 1425 | "text": [ |
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| 1426 | "Batch 100 device: cuda time passed: 14.021 time per batch: 0.140\n", |
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| 1459 | "ver 34, iter 31, fold 0, val ll: 0.0609, cor: 0.8450, auc: 0.9888\n", |
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| 1460 | "total running time 741.6375591754913\n", |
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| 1461 | "total time 10448.977521657944\n", |
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| 1462 | "completed epochs: 3 iters starting now: 32\n", |
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| 1463 | "adding dummy serieses 12\n", |
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| 1464 | "DataSet 11 valid size 4288 fold 1\n", |
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| 1465 | "dataset valid: 4288 loader valid: 134\n", |
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| 1466 | "loading model model.b3.f1.d11.v34\n", |
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| 1467 | "setFeats, augmentation -1\n", |
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| 1474 | "ver 34, iter 1, fold 1, val ll: 0.0598, cor: 0.8465, auc: 0.9896\n", |
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| 1578 | ] |
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| 1579 | }, |
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| 1580 | { |
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| 1581 | "name": "stdout", |
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| 1582 | "output_type": "stream", |
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| 1583 | "text": [ |
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| 1584 | "ver 34, iter 27, fold 1, val ll: 0.0599, cor: 0.8462, auc: 0.9897\n", |
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| 1587 | "Batch 100 device: cuda time passed: 14.135 time per batch: 0.141\n", |
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| 1588 | "ver 34, iter 28, fold 1, val ll: 0.0598, cor: 0.8464, auc: 0.9897\n", |
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| 1589 | "setFeats, augmentation -1\n", |
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| 1590 | "Batch 50 device: cuda time passed: 8.158 time per batch: 0.163\n", |
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| 1591 | "Batch 100 device: cuda time passed: 14.689 time per batch: 0.147\n", |
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| 1592 | "ver 34, iter 29, fold 1, val ll: 0.0598, cor: 0.8465, auc: 0.9897\n", |
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| 1593 | "setFeats, augmentation -1\n", |
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| 1594 | "Batch 50 device: cuda time passed: 8.615 time per batch: 0.172\n", |
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| 1595 | "Batch 100 device: cuda time passed: 14.820 time per batch: 0.148\n", |
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| 1596 | "ver 34, iter 30, fold 1, val ll: 0.0594, cor: 0.8474, auc: 0.9898\n", |
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| 1597 | "setFeats, augmentation -1\n", |
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| 1598 | "Batch 50 device: cuda time passed: 8.738 time per batch: 0.175\n", |
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| 1599 | "Batch 100 device: cuda time passed: 15.174 time per batch: 0.152\n", |
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| 1600 | "ver 34, iter 31, fold 1, val ll: 0.0595, cor: 0.8472, auc: 0.9898\n", |
||
| 1601 | "total running time 721.0183691978455\n", |
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| 1602 | "total time 11170.231662034988\n", |
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| 1603 | "completed epochs: 3 iters starting now: 32\n", |
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| 1604 | "adding dummy serieses 27\n", |
||
| 1605 | "DataSet 11 valid size 4416 fold 2\n", |
||
| 1606 | "dataset valid: 4416 loader valid: 138\n", |
||
| 1607 | "loading model model.b3.f2.d11.v34\n", |
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| 1608 | "setFeats, augmentation -1\n", |
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| 1609 | "Batch 50 device: cuda time passed: 8.321 time per batch: 0.166\n", |
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| 1610 | "Batch 100 device: cuda time passed: 14.535 time per batch: 0.145\n", |
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| 1611 | "ver 34, iter 0, fold 2, val ll: 0.0598, cor: 0.8435, auc: 0.9894\n", |
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| 1612 | "setFeats, augmentation -1\n", |
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| 1613 | "Batch 50 device: cuda time passed: 8.470 time per batch: 0.169\n", |
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| 1614 | "Batch 100 device: cuda time passed: 14.441 time per batch: 0.144\n", |
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| 1615 | "ver 34, iter 1, fold 2, val ll: 0.0597, cor: 0.8432, auc: 0.9895\n", |
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| 1616 | "setFeats, augmentation -1\n", |
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| 1617 | "Batch 50 device: cuda time passed: 7.828 time per batch: 0.157\n", |
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| 1618 | "Batch 100 device: cuda time passed: 14.318 time per batch: 0.143\n", |
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| 1619 | "ver 34, iter 2, fold 2, val ll: 0.0596, cor: 0.8440, auc: 0.9895\n", |
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| 1620 | "setFeats, augmentation -1\n", |
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| 1621 | "Batch 50 device: cuda time passed: 7.636 time per batch: 0.153\n", |
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| 1622 | "Batch 100 device: cuda time passed: 14.246 time per batch: 0.142\n", |
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| 1623 | "ver 34, iter 3, fold 2, val ll: 0.0597, cor: 0.8434, auc: 0.9895\n", |
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| 1624 | "setFeats, augmentation -1\n", |
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| 1625 | "Batch 50 device: cuda time passed: 7.601 time per batch: 0.152\n", |
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| 1626 | "Batch 100 device: cuda time passed: 14.000 time per batch: 0.140\n", |
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| 1627 | "ver 34, iter 4, fold 2, val ll: 0.0595, cor: 0.8441, auc: 0.9895\n", |
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| 1628 | "setFeats, augmentation -1\n", |
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| 1629 | "Batch 50 device: cuda time passed: 7.245 time per batch: 0.145\n", |
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| 1630 | "Batch 100 device: cuda time passed: 14.561 time per batch: 0.146\n", |
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| 1631 | "ver 34, iter 5, fold 2, val ll: 0.0596, cor: 0.8439, auc: 0.9895\n", |
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| 1632 | "setFeats, augmentation -1\n", |
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| 1633 | "Batch 50 device: cuda time passed: 8.083 time per batch: 0.162\n", |
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| 1634 | "Batch 100 device: cuda time passed: 14.816 time per batch: 0.148\n", |
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| 1635 | "ver 34, iter 6, fold 2, val ll: 0.0597, cor: 0.8438, auc: 0.9895\n", |
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| 1636 | "setFeats, augmentation -1\n", |
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| 1637 | "Batch 50 device: cuda time passed: 8.189 time per batch: 0.164\n", |
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| 1638 | "Batch 100 device: cuda time passed: 14.019 time per batch: 0.140\n", |
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| 1639 | "ver 34, iter 7, fold 2, val ll: 0.0595, cor: 0.8439, auc: 0.9896\n", |
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| 1640 | "setFeats, augmentation -1\n", |
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| 1641 | "Batch 50 device: cuda time passed: 7.470 time per batch: 0.149\n", |
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| 1642 | "Batch 100 device: cuda time passed: 14.477 time per batch: 0.145\n", |
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| 1643 | "ver 34, iter 8, fold 2, val ll: 0.0599, cor: 0.8433, auc: 0.9894\n", |
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| 1644 | "setFeats, augmentation -1\n", |
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| 1645 | "Batch 50 device: cuda time passed: 8.395 time per batch: 0.168\n", |
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| 1646 | "Batch 100 device: cuda time passed: 15.214 time per batch: 0.152\n", |
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| 1647 | "ver 34, iter 9, fold 2, val ll: 0.0596, cor: 0.8438, auc: 0.9895\n", |
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| 1648 | "setFeats, augmentation -1\n", |
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| 1649 | "Batch 50 device: cuda time passed: 8.550 time per batch: 0.171\n", |
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| 1650 | "Batch 100 device: cuda time passed: 14.843 time per batch: 0.148\n", |
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| 1651 | "ver 34, iter 10, fold 2, val ll: 0.0598, cor: 0.8433, auc: 0.9895\n", |
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| 1652 | "setFeats, augmentation -1\n", |
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| 1653 | "Batch 50 device: cuda time passed: 8.069 time per batch: 0.161\n", |
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| 1654 | "Batch 100 device: cuda time passed: 15.071 time per batch: 0.151\n", |
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| 1655 | "ver 34, iter 11, fold 2, val ll: 0.0598, cor: 0.8435, auc: 0.9894\n", |
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| 1656 | "setFeats, augmentation -1\n", |
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| 1657 | "Batch 50 device: cuda time passed: 7.822 time per batch: 0.156\n", |
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| 1658 | "Batch 100 device: cuda time passed: 14.030 time per batch: 0.140\n", |
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| 1659 | "ver 34, iter 12, fold 2, val ll: 0.0599, cor: 0.8429, auc: 0.9895\n", |
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| 1660 | "setFeats, augmentation -1\n", |
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| 1661 | "Batch 50 device: cuda time passed: 7.770 time per batch: 0.155\n", |
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| 1662 | "Batch 100 device: cuda time passed: 14.464 time per batch: 0.145\n", |
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| 1663 | "ver 34, iter 13, fold 2, val ll: 0.0599, cor: 0.8434, auc: 0.9893\n", |
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| 1664 | "setFeats, augmentation -1\n", |
||
| 1665 | "Batch 50 device: cuda time passed: 7.993 time per batch: 0.160\n", |
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| 1666 | "Batch 100 device: cuda time passed: 14.393 time per batch: 0.144\n", |
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| 1667 | "ver 34, iter 14, fold 2, val ll: 0.0598, cor: 0.8434, auc: 0.9895\n", |
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| 1668 | "setFeats, augmentation -1\n", |
||
| 1669 | "Batch 50 device: cuda time passed: 7.532 time per batch: 0.151\n", |
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| 1670 | "Batch 100 device: cuda time passed: 14.834 time per batch: 0.148\n", |
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| 1671 | "ver 34, iter 15, fold 2, val ll: 0.0599, cor: 0.8434, auc: 0.9894\n", |
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| 1672 | "setFeats, augmentation -1\n", |
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| 1673 | "Batch 50 device: cuda time passed: 7.617 time per batch: 0.152\n", |
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| 1674 | "Batch 100 device: cuda time passed: 14.796 time per batch: 0.148\n", |
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| 1675 | "ver 34, iter 16, fold 2, val ll: 0.0599, cor: 0.8430, auc: 0.9895\n", |
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| 1676 | "setFeats, augmentation -1\n", |
||
| 1677 | "Batch 50 device: cuda time passed: 8.682 time per batch: 0.174\n", |
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| 1678 | "Batch 100 device: cuda time passed: 14.858 time per batch: 0.149\n", |
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| 1679 | "ver 34, iter 17, fold 2, val ll: 0.0600, cor: 0.8431, auc: 0.9894\n", |
||
| 1680 | "setFeats, augmentation -1\n", |
||
| 1681 | "Batch 50 device: cuda time passed: 7.982 time per batch: 0.160\n", |
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| 1682 | "Batch 100 device: cuda time passed: 14.452 time per batch: 0.145\n", |
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| 1683 | "ver 34, iter 18, fold 2, val ll: 0.0596, cor: 0.8440, auc: 0.9895\n", |
||
| 1684 | "setFeats, augmentation -1\n", |
||
| 1685 | "Batch 50 device: cuda time passed: 8.125 time per batch: 0.162\n", |
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| 1686 | "Batch 100 device: cuda time passed: 14.476 time per batch: 0.145\n", |
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| 1687 | "ver 34, iter 19, fold 2, val ll: 0.0600, cor: 0.8430, auc: 0.9894\n", |
||
| 1688 | "setFeats, augmentation -1\n", |
||
| 1689 | "Batch 50 device: cuda time passed: 8.754 time per batch: 0.175\n", |
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| 1690 | "Batch 100 device: cuda time passed: 15.201 time per batch: 0.152\n", |
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| 1691 | "ver 34, iter 20, fold 2, val ll: 0.0600, cor: 0.8430, auc: 0.9894\n", |
||
| 1692 | "setFeats, augmentation -1\n", |
||
| 1693 | "Batch 50 device: cuda time passed: 8.643 time per batch: 0.173\n", |
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| 1694 | "Batch 100 device: cuda time passed: 15.414 time per batch: 0.154\n", |
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| 1695 | "ver 34, iter 21, fold 2, val ll: 0.0598, cor: 0.8435, auc: 0.9894\n", |
||
| 1696 | "setFeats, augmentation -1\n", |
||
| 1697 | "Batch 50 device: cuda time passed: 7.911 time per batch: 0.158\n", |
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| 1698 | "Batch 100 device: cuda time passed: 14.572 time per batch: 0.146\n", |
||
| 1699 | "ver 34, iter 22, fold 2, val ll: 0.0597, cor: 0.8437, auc: 0.9894\n", |
||
| 1700 | "setFeats, augmentation -1\n", |
||
| 1701 | "Batch 50 device: cuda time passed: 8.263 time per batch: 0.165\n", |
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| 1702 | "Batch 100 device: cuda time passed: 14.524 time per batch: 0.145\n", |
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| 1703 | "ver 34, iter 23, fold 2, val ll: 0.0597, cor: 0.8435, auc: 0.9895\n", |
||
| 1704 | "setFeats, augmentation -1\n", |
||
| 1705 | "Batch 50 device: cuda time passed: 8.294 time per batch: 0.166\n", |
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| 1706 | "Batch 100 device: cuda time passed: 14.922 time per batch: 0.149\n", |
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| 1707 | "ver 34, iter 24, fold 2, val ll: 0.0599, cor: 0.8435, auc: 0.9894\n", |
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| 1708 | "setFeats, augmentation -1\n", |
||
| 1709 | "Batch 50 device: cuda time passed: 8.698 time per batch: 0.174\n", |
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| 1710 | "Batch 100 device: cuda time passed: 15.055 time per batch: 0.151\n", |
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| 1711 | "ver 34, iter 25, fold 2, val ll: 0.0599, cor: 0.8433, auc: 0.9894\n", |
||
| 1712 | "setFeats, augmentation -1\n", |
||
| 1713 | "Batch 50 device: cuda time passed: 7.893 time per batch: 0.158\n", |
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| 1714 | "Batch 100 device: cuda time passed: 14.455 time per batch: 0.145\n", |
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| 1715 | "ver 34, iter 26, fold 2, val ll: 0.0595, cor: 0.8439, auc: 0.9896\n", |
||
| 1716 | "setFeats, augmentation -1\n", |
||
| 1717 | "Batch 50 device: cuda time passed: 8.170 time per batch: 0.163\n", |
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| 1718 | "Batch 100 device: cuda time passed: 14.426 time per batch: 0.144\n", |
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| 1719 | "ver 34, iter 27, fold 2, val ll: 0.0599, cor: 0.8433, auc: 0.9893\n", |
||
| 1720 | "setFeats, augmentation -1\n", |
||
| 1721 | "Batch 50 device: cuda time passed: 8.228 time per batch: 0.165\n", |
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| 1722 | "Batch 100 device: cuda time passed: 14.495 time per batch: 0.145\n", |
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| 1723 | "ver 34, iter 28, fold 2, val ll: 0.0597, cor: 0.8437, auc: 0.9894\n", |
||
| 1724 | "setFeats, augmentation -1\n", |
||
| 1725 | "Batch 50 device: cuda time passed: 8.403 time per batch: 0.168\n", |
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| 1726 | "Batch 100 device: cuda time passed: 14.746 time per batch: 0.147\n", |
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| 1727 | "ver 34, iter 29, fold 2, val ll: 0.0598, cor: 0.8434, auc: 0.9895\n", |
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| 1728 | "setFeats, augmentation -1\n", |
||
| 1729 | "Batch 50 device: cuda time passed: 8.353 time per batch: 0.167\n", |
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| 1730 | "Batch 100 device: cuda time passed: 14.725 time per batch: 0.147\n", |
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| 1731 | "ver 34, iter 30, fold 2, val ll: 0.0599, cor: 0.8429, auc: 0.9894\n", |
||
| 1732 | "setFeats, augmentation -1\n", |
||
| 1733 | "Batch 50 device: cuda time passed: 7.921 time per batch: 0.158\n", |
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| 1734 | "Batch 100 device: cuda time passed: 14.335 time per batch: 0.143\n", |
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| 1735 | "ver 34, iter 31, fold 2, val ll: 0.0599, cor: 0.8432, auc: 0.9894\n", |
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| 1736 | "total running time 752.1568894386292\n" |
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| 1737 | ] |
||
| 1738 | }, |
||
| 1739 | { |
||
| 1740 | "name": "stdout", |
||
| 1741 | "output_type": "stream", |
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| 1742 | "text": [ |
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| 1743 | "total time 11922.615085601807\n", |
||
| 1744 | "completed epochs: 3 iters starting now: 32\n", |
||
| 1745 | "adding dummy serieses 16\n", |
||
| 1746 | "DataSet 11 valid size 4352 fold 3\n", |
||
| 1747 | "dataset valid: 4352 loader valid: 136\n", |
||
| 1748 | "loading model model.b3.f3.d11.v34\n", |
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| 1749 | "setFeats, augmentation -1\n", |
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| 1750 | "Batch 50 device: cuda time passed: 8.425 time per batch: 0.168\n", |
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| 1751 | "Batch 100 device: cuda time passed: 14.529 time per batch: 0.145\n", |
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| 1752 | "ver 34, iter 0, fold 3, val ll: 0.0630, cor: 0.8408, auc: 0.9887\n", |
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| 1753 | "setFeats, augmentation -1\n", |
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| 1754 | "Batch 50 device: cuda time passed: 8.520 time per batch: 0.170\n", |
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| 1755 | "Batch 100 device: cuda time passed: 14.945 time per batch: 0.149\n", |
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| 1756 | "ver 34, iter 1, fold 3, val ll: 0.0631, cor: 0.8410, auc: 0.9886\n", |
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| 1757 | "setFeats, augmentation -1\n", |
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| 1758 | "Batch 50 device: cuda time passed: 8.122 time per batch: 0.162\n", |
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| 1759 | "Batch 100 device: cuda time passed: 14.718 time per batch: 0.147\n", |
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| 1760 | "ver 34, iter 2, fold 3, val ll: 0.0632, cor: 0.8404, auc: 0.9887\n", |
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| 1761 | "setFeats, augmentation -1\n", |
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| 1762 | "Batch 50 device: cuda time passed: 8.313 time per batch: 0.166\n", |
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| 1763 | "Batch 100 device: cuda time passed: 14.583 time per batch: 0.146\n", |
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| 1764 | "ver 34, iter 3, fold 3, val ll: 0.0629, cor: 0.8410, auc: 0.9887\n", |
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| 1765 | "setFeats, augmentation -1\n", |
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| 1766 | "Batch 50 device: cuda time passed: 7.467 time per batch: 0.149\n", |
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| 1767 | "Batch 100 device: cuda time passed: 14.490 time per batch: 0.145\n", |
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| 1768 | "ver 34, iter 4, fold 3, val ll: 0.0629, cor: 0.8410, auc: 0.9888\n", |
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| 1769 | "setFeats, augmentation -1\n", |
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| 1770 | "Batch 50 device: cuda time passed: 7.773 time per batch: 0.155\n", |
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| 1771 | "Batch 100 device: cuda time passed: 14.122 time per batch: 0.141\n", |
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| 1772 | "ver 34, iter 5, fold 3, val ll: 0.0627, cor: 0.8414, auc: 0.9888\n", |
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| 1773 | "setFeats, augmentation -1\n", |
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| 1774 | "Batch 50 device: cuda time passed: 8.125 time per batch: 0.163\n", |
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| 1775 | "Batch 100 device: cuda time passed: 14.389 time per batch: 0.144\n", |
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| 1776 | "ver 34, iter 6, fold 3, val ll: 0.0631, cor: 0.8411, auc: 0.9887\n", |
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| 1777 | "setFeats, augmentation -1\n", |
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| 1778 | "Batch 50 device: cuda time passed: 8.044 time per batch: 0.161\n", |
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| 1779 | "Batch 100 device: cuda time passed: 13.814 time per batch: 0.138\n", |
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| 1780 | "ver 34, iter 7, fold 3, val ll: 0.0627, cor: 0.8417, auc: 0.9888\n", |
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| 1781 | "setFeats, augmentation -1\n", |
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| 1782 | "Batch 50 device: cuda time passed: 8.442 time per batch: 0.169\n", |
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| 1783 | "Batch 100 device: cuda time passed: 14.809 time per batch: 0.148\n", |
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| 1784 | "ver 34, iter 8, fold 3, val ll: 0.0631, cor: 0.8408, auc: 0.9886\n", |
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| 1785 | "setFeats, augmentation -1\n", |
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| 1786 | "Batch 50 device: cuda time passed: 7.894 time per batch: 0.158\n", |
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| 1788 | "ver 34, iter 9, fold 3, val ll: 0.0630, cor: 0.8409, auc: 0.9886\n", |
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| 1789 | "setFeats, augmentation -1\n", |
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| 1790 | "Batch 50 device: cuda time passed: 7.779 time per batch: 0.156\n", |
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| 1791 | "Batch 100 device: cuda time passed: 14.097 time per batch: 0.141\n", |
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| 1792 | "ver 34, iter 10, fold 3, val ll: 0.0631, cor: 0.8406, auc: 0.9886\n", |
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| 1793 | "setFeats, augmentation -1\n", |
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| 1795 | "Batch 100 device: cuda time passed: 14.809 time per batch: 0.148\n", |
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| 1796 | "ver 34, iter 11, fold 3, val ll: 0.0628, cor: 0.8411, auc: 0.9888\n", |
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| 1797 | "setFeats, augmentation -1\n", |
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| 1798 | "Batch 50 device: cuda time passed: 7.458 time per batch: 0.149\n", |
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| 1800 | "ver 34, iter 12, fold 3, val ll: 0.0630, cor: 0.8406, auc: 0.9886\n", |
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| 1801 | "setFeats, augmentation -1\n", |
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| 1802 | "Batch 50 device: cuda time passed: 8.365 time per batch: 0.167\n", |
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| 1805 | "setFeats, augmentation -1\n", |
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| 1806 | "Batch 50 device: cuda time passed: 8.378 time per batch: 0.168\n", |
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| 1807 | "Batch 100 device: cuda time passed: 14.711 time per batch: 0.147\n", |
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| 1808 | "ver 34, iter 14, fold 3, val ll: 0.0629, cor: 0.8410, auc: 0.9888\n", |
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| 1809 | "setFeats, augmentation -1\n", |
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| 1810 | "Batch 50 device: cuda time passed: 8.608 time per batch: 0.172\n", |
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| 1813 | "setFeats, augmentation -1\n", |
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| 1817 | "setFeats, augmentation -1\n", |
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| 1818 | "Batch 50 device: cuda time passed: 8.337 time per batch: 0.167\n", |
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| 1821 | "setFeats, augmentation -1\n", |
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| 1822 | "Batch 50 device: cuda time passed: 7.253 time per batch: 0.145\n", |
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| 1823 | "Batch 100 device: cuda time passed: 13.893 time per batch: 0.139\n", |
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| 1824 | "ver 34, iter 18, fold 3, val ll: 0.0630, cor: 0.8410, auc: 0.9886\n", |
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| 1825 | "setFeats, augmentation -1\n", |
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| 1826 | "Batch 50 device: cuda time passed: 8.474 time per batch: 0.169\n", |
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| 1827 | "Batch 100 device: cuda time passed: 15.130 time per batch: 0.151\n", |
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| 1828 | "ver 34, iter 19, fold 3, val ll: 0.0632, cor: 0.8405, auc: 0.9886\n", |
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| 1829 | "setFeats, augmentation -1\n", |
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| 1830 | "Batch 50 device: cuda time passed: 8.107 time per batch: 0.162\n", |
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| 1831 | "Batch 100 device: cuda time passed: 14.488 time per batch: 0.145\n", |
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| 1833 | "setFeats, augmentation -1\n", |
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| 1834 | "Batch 50 device: cuda time passed: 8.328 time per batch: 0.167\n", |
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| 1836 | "ver 34, iter 21, fold 3, val ll: 0.0630, cor: 0.8411, auc: 0.9887\n", |
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| 1840 | "ver 34, iter 22, fold 3, val ll: 0.0629, cor: 0.8414, auc: 0.9888\n", |
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| 1841 | "setFeats, augmentation -1\n", |
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| 1842 | "Batch 50 device: cuda time passed: 7.608 time per batch: 0.152\n", |
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| 1843 | "Batch 100 device: cuda time passed: 14.575 time per batch: 0.146\n", |
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| 1844 | "ver 34, iter 23, fold 3, val ll: 0.0631, cor: 0.8409, auc: 0.9885\n", |
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| 1845 | "setFeats, augmentation -1\n", |
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| 1846 | "Batch 50 device: cuda time passed: 8.066 time per batch: 0.161\n", |
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| 1847 | "Batch 100 device: cuda time passed: 14.204 time per batch: 0.142\n", |
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| 1848 | "ver 34, iter 24, fold 3, val ll: 0.0630, cor: 0.8413, auc: 0.9886\n", |
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| 1849 | "setFeats, augmentation -1\n", |
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| 1850 | "Batch 50 device: cuda time passed: 7.599 time per batch: 0.152\n", |
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| 1851 | "Batch 100 device: cuda time passed: 14.531 time per batch: 0.145\n", |
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| 1852 | "ver 34, iter 25, fold 3, val ll: 0.0630, cor: 0.8410, auc: 0.9887\n", |
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| 1853 | "setFeats, augmentation -1\n", |
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| 1854 | "Batch 50 device: cuda time passed: 8.369 time per batch: 0.167\n", |
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| 1855 | "Batch 100 device: cuda time passed: 14.646 time per batch: 0.146\n", |
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| 1856 | "ver 34, iter 26, fold 3, val ll: 0.0629, cor: 0.8409, auc: 0.9887\n", |
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| 1857 | "setFeats, augmentation -1\n", |
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| 1858 | "Batch 50 device: cuda time passed: 7.989 time per batch: 0.160\n", |
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| 1859 | "Batch 100 device: cuda time passed: 14.261 time per batch: 0.143\n", |
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| 1860 | "ver 34, iter 27, fold 3, val ll: 0.0631, cor: 0.8409, auc: 0.9886\n", |
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| 1861 | "setFeats, augmentation -1\n", |
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| 1862 | "Batch 50 device: cuda time passed: 7.613 time per batch: 0.152\n", |
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| 1863 | "Batch 100 device: cuda time passed: 13.975 time per batch: 0.140\n", |
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| 1864 | "ver 34, iter 28, fold 3, val ll: 0.0629, cor: 0.8409, auc: 0.9888\n", |
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| 1865 | "setFeats, augmentation -1\n", |
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| 1866 | "Batch 50 device: cuda time passed: 7.974 time per batch: 0.159\n", |
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| 1867 | "Batch 100 device: cuda time passed: 14.795 time per batch: 0.148\n", |
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| 1868 | "ver 34, iter 29, fold 3, val ll: 0.0630, cor: 0.8409, auc: 0.9887\n", |
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| 1869 | "setFeats, augmentation -1\n", |
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| 1870 | "Batch 50 device: cuda time passed: 7.833 time per batch: 0.157\n", |
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| 1871 | "Batch 100 device: cuda time passed: 13.972 time per batch: 0.140\n", |
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| 1872 | "ver 34, iter 30, fold 3, val ll: 0.0632, cor: 0.8405, auc: 0.9886\n", |
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| 1873 | "setFeats, augmentation -1\n", |
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| 1874 | "Batch 50 device: cuda time passed: 8.679 time per batch: 0.174\n", |
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| 1875 | "Batch 100 device: cuda time passed: 14.658 time per batch: 0.147\n", |
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| 1876 | "ver 34, iter 31, fold 3, val ll: 0.0629, cor: 0.8412, auc: 0.9887\n", |
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| 1877 | "total running time 734.1475803852081\n", |
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| 1878 | "total time 12656.995476007462\n", |
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| 1879 | "completed epochs: 3 iters starting now: 32\n", |
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| 1880 | "adding dummy serieses 16\n", |
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| 1881 | "DataSet 11 valid size 4384 fold 4\n", |
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| 1882 | "dataset valid: 4384 loader valid: 137\n", |
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| 1883 | "loading model model.b3.f4.d11.v34\n", |
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| 1884 | "setFeats, augmentation -1\n", |
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| 1885 | "Batch 50 device: cuda time passed: 7.537 time per batch: 0.151\n", |
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| 1886 | "Batch 100 device: cuda time passed: 14.791 time per batch: 0.148\n", |
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| 1887 | "ver 34, iter 0, fold 4, val ll: 0.0621, cor: 0.8422, auc: 0.9883\n", |
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| 1888 | "setFeats, augmentation -1\n", |
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| 1889 | "Batch 50 device: cuda time passed: 7.658 time per batch: 0.153\n", |
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| 1890 | "Batch 100 device: cuda time passed: 14.894 time per batch: 0.149\n", |
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| 1891 | "ver 34, iter 1, fold 4, val ll: 0.0621, cor: 0.8425, auc: 0.9881\n", |
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| 1892 | "setFeats, augmentation -1\n", |
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| 1893 | "Batch 50 device: cuda time passed: 8.153 time per batch: 0.163\n", |
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| 1894 | "Batch 100 device: cuda time passed: 15.152 time per batch: 0.152\n", |
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| 1895 | "ver 34, iter 2, fold 4, val ll: 0.0621, cor: 0.8424, auc: 0.9882\n", |
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| 1896 | "setFeats, augmentation -1\n", |
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| 1897 | "Batch 50 device: cuda time passed: 7.949 time per batch: 0.159\n" |
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| 1898 | ] |
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| 1899 | }, |
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| 1900 | { |
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| 1901 | "name": "stdout", |
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| 1902 | "output_type": "stream", |
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| 1903 | "text": [ |
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| 1904 | "Batch 100 device: cuda time passed: 14.614 time per batch: 0.146\n", |
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| 1905 | "ver 34, iter 3, fold 4, val ll: 0.0621, cor: 0.8423, auc: 0.9882\n", |
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| 1906 | "setFeats, augmentation -1\n", |
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| 1907 | "Batch 50 device: cuda time passed: 7.994 time per batch: 0.160\n", |
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| 1908 | "Batch 100 device: cuda time passed: 14.679 time per batch: 0.147\n", |
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| 1909 | "ver 34, iter 4, fold 4, val ll: 0.0621, cor: 0.8424, auc: 0.9883\n", |
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| 1910 | "setFeats, augmentation -1\n", |
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| 1911 | "Batch 50 device: cuda time passed: 7.531 time per batch: 0.151\n", |
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| 1912 | "Batch 100 device: cuda time passed: 14.144 time per batch: 0.141\n", |
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| 1913 | "ver 34, iter 5, fold 4, val ll: 0.0622, cor: 0.8423, auc: 0.9881\n", |
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| 1914 | "setFeats, augmentation -1\n", |
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| 1915 | "Batch 50 device: cuda time passed: 7.704 time per batch: 0.154\n", |
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| 1916 | "Batch 100 device: cuda time passed: 14.333 time per batch: 0.143\n", |
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| 1917 | "ver 34, iter 6, fold 4, val ll: 0.0621, cor: 0.8422, auc: 0.9882\n", |
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| 1918 | "setFeats, augmentation -1\n", |
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| 1919 | "Batch 50 device: cuda time passed: 8.156 time per batch: 0.163\n", |
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| 1920 | "Batch 100 device: cuda time passed: 14.257 time per batch: 0.143\n", |
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| 1921 | "ver 34, iter 7, fold 4, val ll: 0.0620, cor: 0.8423, auc: 0.9883\n", |
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| 1922 | "setFeats, augmentation -1\n", |
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| 1923 | "Batch 50 device: cuda time passed: 8.861 time per batch: 0.177\n", |
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| 1924 | "Batch 100 device: cuda time passed: 15.148 time per batch: 0.151\n", |
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| 1925 | "ver 34, iter 8, fold 4, val ll: 0.0622, cor: 0.8420, auc: 0.9882\n", |
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| 1926 | "setFeats, augmentation -1\n", |
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| 1927 | "Batch 50 device: cuda time passed: 7.667 time per batch: 0.153\n", |
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| 1928 | "Batch 100 device: cuda time passed: 14.239 time per batch: 0.142\n", |
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| 1929 | "ver 34, iter 9, fold 4, val ll: 0.0623, cor: 0.8420, auc: 0.9881\n", |
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| 1930 | "setFeats, augmentation -1\n", |
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| 1931 | "Batch 50 device: cuda time passed: 7.540 time per batch: 0.151\n", |
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| 1932 | "Batch 100 device: cuda time passed: 14.616 time per batch: 0.146\n", |
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| 1933 | "ver 34, iter 10, fold 4, val ll: 0.0621, cor: 0.8422, auc: 0.9883\n", |
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| 1934 | "setFeats, augmentation -1\n", |
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| 1935 | "Batch 50 device: cuda time passed: 8.561 time per batch: 0.171\n", |
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| 1936 | "Batch 100 device: cuda time passed: 14.683 time per batch: 0.147\n", |
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| 1937 | "ver 34, iter 11, fold 4, val ll: 0.0621, cor: 0.8424, auc: 0.9882\n", |
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| 1938 | "setFeats, augmentation -1\n", |
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| 1939 | "Batch 50 device: cuda time passed: 7.547 time per batch: 0.151\n", |
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| 1940 | "Batch 100 device: cuda time passed: 14.696 time per batch: 0.147\n", |
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| 1941 | "ver 34, iter 12, fold 4, val ll: 0.0621, cor: 0.8427, auc: 0.9882\n", |
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| 1942 | "setFeats, augmentation -1\n", |
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| 1943 | "Batch 50 device: cuda time passed: 8.117 time per batch: 0.162\n", |
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| 1944 | "Batch 100 device: cuda time passed: 14.203 time per batch: 0.142\n", |
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| 1945 | "ver 34, iter 13, fold 4, val ll: 0.0621, cor: 0.8421, auc: 0.9882\n", |
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| 1946 | "setFeats, augmentation -1\n", |
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| 1947 | "Batch 50 device: cuda time passed: 7.766 time per batch: 0.155\n", |
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| 1948 | "Batch 100 device: cuda time passed: 14.236 time per batch: 0.142\n", |
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| 1949 | "ver 34, iter 14, fold 4, val ll: 0.0620, cor: 0.8421, auc: 0.9884\n", |
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| 1950 | "setFeats, augmentation -1\n", |
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| 1951 | "Batch 50 device: cuda time passed: 8.059 time per batch: 0.161\n", |
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| 1952 | "Batch 100 device: cuda time passed: 14.706 time per batch: 0.147\n", |
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| 1953 | "ver 34, iter 15, fold 4, val ll: 0.0620, cor: 0.8429, auc: 0.9882\n", |
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| 1954 | "setFeats, augmentation -1\n", |
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| 1955 | "Batch 50 device: cuda time passed: 7.840 time per batch: 0.157\n", |
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| 1956 | "Batch 100 device: cuda time passed: 14.664 time per batch: 0.147\n", |
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| 1957 | "ver 34, iter 16, fold 4, val ll: 0.0624, cor: 0.8417, auc: 0.9882\n", |
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| 1958 | "setFeats, augmentation -1\n", |
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| 1959 | "Batch 50 device: cuda time passed: 7.848 time per batch: 0.157\n", |
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| 1960 | "Batch 100 device: cuda time passed: 14.174 time per batch: 0.142\n", |
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| 1961 | "ver 34, iter 17, fold 4, val ll: 0.0619, cor: 0.8430, auc: 0.9882\n", |
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| 1962 | "setFeats, augmentation -1\n", |
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| 1963 | "Batch 50 device: cuda time passed: 8.310 time per batch: 0.166\n", |
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| 1964 | "Batch 100 device: cuda time passed: 14.376 time per batch: 0.144\n", |
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| 1965 | "ver 34, iter 18, fold 4, val ll: 0.0619, cor: 0.8422, auc: 0.9883\n", |
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| 1966 | "setFeats, augmentation -1\n", |
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| 1967 | "Batch 50 device: cuda time passed: 7.770 time per batch: 0.155\n", |
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| 1968 | "Batch 100 device: cuda time passed: 14.641 time per batch: 0.146\n", |
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| 1969 | "ver 34, iter 19, fold 4, val ll: 0.0619, cor: 0.8430, auc: 0.9882\n", |
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| 1970 | "setFeats, augmentation -1\n", |
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| 1971 | "Batch 50 device: cuda time passed: 8.277 time per batch: 0.166\n", |
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| 1972 | "Batch 100 device: cuda time passed: 14.477 time per batch: 0.145\n", |
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| 1973 | "ver 34, iter 20, fold 4, val ll: 0.0621, cor: 0.8423, auc: 0.9882\n", |
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| 1974 | "setFeats, augmentation -1\n", |
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| 1975 | "Batch 50 device: cuda time passed: 7.529 time per batch: 0.151\n", |
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| 1976 | "Batch 100 device: cuda time passed: 14.157 time per batch: 0.142\n", |
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| 1977 | "ver 34, iter 21, fold 4, val ll: 0.0622, cor: 0.8422, auc: 0.9882\n", |
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| 1978 | "setFeats, augmentation -1\n", |
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| 1979 | "Batch 50 device: cuda time passed: 8.420 time per batch: 0.168\n", |
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| 1980 | "Batch 100 device: cuda time passed: 14.098 time per batch: 0.141\n", |
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| 1981 | "ver 34, iter 22, fold 4, val ll: 0.0620, cor: 0.8427, auc: 0.9882\n", |
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| 1982 | "setFeats, augmentation -1\n", |
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| 1983 | "Batch 50 device: cuda time passed: 7.731 time per batch: 0.155\n", |
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| 1984 | "Batch 100 device: cuda time passed: 14.621 time per batch: 0.146\n", |
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| 1985 | "ver 34, iter 23, fold 4, val ll: 0.0622, cor: 0.8424, auc: 0.9881\n", |
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| 1986 | "setFeats, augmentation -1\n", |
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| 1987 | "Batch 50 device: cuda time passed: 7.574 time per batch: 0.151\n", |
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| 1988 | "Batch 100 device: cuda time passed: 14.133 time per batch: 0.141\n", |
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| 1989 | "ver 34, iter 24, fold 4, val ll: 0.0621, cor: 0.8421, auc: 0.9883\n", |
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| 1990 | "setFeats, augmentation -1\n", |
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| 1991 | "Batch 50 device: cuda time passed: 7.682 time per batch: 0.154\n", |
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| 1992 | "Batch 100 device: cuda time passed: 14.033 time per batch: 0.140\n", |
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| 1993 | "ver 34, iter 25, fold 4, val ll: 0.0621, cor: 0.8424, auc: 0.9882\n", |
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| 1994 | "setFeats, augmentation -1\n", |
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| 1995 | "Batch 50 device: cuda time passed: 8.161 time per batch: 0.163\n", |
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| 1996 | "Batch 100 device: cuda time passed: 14.308 time per batch: 0.143\n", |
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| 1997 | "ver 34, iter 26, fold 4, val ll: 0.0621, cor: 0.8422, auc: 0.9882\n", |
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| 1998 | "setFeats, augmentation -1\n", |
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| 1999 | "Batch 50 device: cuda time passed: 7.618 time per batch: 0.152\n", |
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| 2000 | "Batch 100 device: cuda time passed: 13.931 time per batch: 0.139\n", |
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| 2001 | "ver 34, iter 27, fold 4, val ll: 0.0620, cor: 0.8426, auc: 0.9883\n", |
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| 2002 | "setFeats, augmentation -1\n", |
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| 2003 | "Batch 50 device: cuda time passed: 8.213 time per batch: 0.164\n", |
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| 2004 | "Batch 100 device: cuda time passed: 14.428 time per batch: 0.144\n", |
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| 2005 | "ver 34, iter 28, fold 4, val ll: 0.0621, cor: 0.8424, auc: 0.9881\n", |
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| 2006 | "setFeats, augmentation -1\n", |
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| 2007 | "Batch 50 device: cuda time passed: 8.041 time per batch: 0.161\n", |
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| 2008 | "Batch 100 device: cuda time passed: 14.991 time per batch: 0.150\n", |
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| 2009 | "ver 34, iter 29, fold 4, val ll: 0.0620, cor: 0.8427, auc: 0.9882\n", |
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| 2010 | "setFeats, augmentation -1\n", |
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| 2011 | "Batch 50 device: cuda time passed: 8.222 time per batch: 0.164\n", |
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| 2012 | "Batch 100 device: cuda time passed: 14.845 time per batch: 0.148\n", |
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| 2013 | "ver 34, iter 30, fold 4, val ll: 0.0620, cor: 0.8426, auc: 0.9881\n", |
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| 2014 | "setFeats, augmentation -1\n", |
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| 2015 | "Batch 50 device: cuda time passed: 8.285 time per batch: 0.166\n", |
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| 2016 | "Batch 100 device: cuda time passed: 14.113 time per batch: 0.141\n", |
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| 2017 | "ver 34, iter 31, fold 4, val ll: 0.0621, cor: 0.8423, auc: 0.9882\n", |
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| 2018 | "total running time 742.8772552013397\n", |
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| 2019 | "total time 13400.111248254776\n", |
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| 2020 | "completed epochs: 3 iters starting now: 32\n", |
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| 2021 | "adding dummy serieses 9\n", |
||
| 2022 | "DataSet 12 valid size 4384 fold 0\n", |
||
| 2023 | "dataset valid: 4384 loader valid: 137\n", |
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| 2024 | "loading model model.b3.f0.d12.v34\n", |
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| 2025 | "setFeats, augmentation -1\n", |
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| 2026 | "Batch 50 device: cuda time passed: 8.200 time per batch: 0.164\n", |
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| 2027 | "Batch 100 device: cuda time passed: 14.845 time per batch: 0.148\n", |
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| 2028 | "ver 34, iter 0, fold 0, val ll: 0.0608, cor: 0.8451, auc: 0.9887\n", |
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| 2029 | "setFeats, augmentation -1\n", |
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| 2030 | "Batch 50 device: cuda time passed: 7.747 time per batch: 0.155\n", |
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| 2031 | "Batch 100 device: cuda time passed: 15.452 time per batch: 0.155\n", |
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| 2032 | "ver 34, iter 1, fold 0, val ll: 0.0610, cor: 0.8443, auc: 0.9888\n", |
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| 2033 | "setFeats, augmentation -1\n", |
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| 2034 | "Batch 50 device: cuda time passed: 7.907 time per batch: 0.158\n", |
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| 2035 | "Batch 100 device: cuda time passed: 14.721 time per batch: 0.147\n", |
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| 2036 | "ver 34, iter 2, fold 0, val ll: 0.0609, cor: 0.8442, auc: 0.9888\n", |
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| 2037 | "setFeats, augmentation -1\n", |
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| 2038 | "Batch 50 device: cuda time passed: 8.093 time per batch: 0.162\n", |
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| 2039 | "Batch 100 device: cuda time passed: 14.886 time per batch: 0.149\n", |
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| 2040 | "ver 34, iter 3, fold 0, val ll: 0.0608, cor: 0.8449, auc: 0.9888\n", |
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| 2041 | "setFeats, augmentation -1\n", |
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| 2042 | "Batch 50 device: cuda time passed: 7.963 time per batch: 0.159\n", |
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| 2043 | "Batch 100 device: cuda time passed: 14.266 time per batch: 0.143\n", |
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| 2044 | "ver 34, iter 4, fold 0, val ll: 0.0608, cor: 0.8444, auc: 0.9888\n", |
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| 2045 | "setFeats, augmentation -1\n", |
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| 2046 | "Batch 50 device: cuda time passed: 8.064 time per batch: 0.161\n", |
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| 2047 | "Batch 100 device: cuda time passed: 14.130 time per batch: 0.141\n", |
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| 2048 | "ver 34, iter 5, fold 0, val ll: 0.0608, cor: 0.8446, auc: 0.9888\n", |
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| 2049 | "setFeats, augmentation -1\n", |
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| 2050 | "Batch 50 device: cuda time passed: 8.710 time per batch: 0.174\n", |
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| 2051 | "Batch 100 device: cuda time passed: 14.791 time per batch: 0.148\n", |
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| 2052 | "ver 34, iter 6, fold 0, val ll: 0.0611, cor: 0.8444, auc: 0.9887\n", |
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| 2053 | "setFeats, augmentation -1\n", |
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| 2054 | "Batch 50 device: cuda time passed: 8.206 time per batch: 0.164\n", |
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| 2055 | "Batch 100 device: cuda time passed: 14.944 time per batch: 0.149\n" |
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| 2056 | ] |
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| 2057 | }, |
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| 2058 | { |
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| 2059 | "name": "stdout", |
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| 2060 | "output_type": "stream", |
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| 2061 | "text": [ |
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| 2062 | "ver 34, iter 7, fold 0, val ll: 0.0609, cor: 0.8444, auc: 0.9889\n", |
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| 2063 | "setFeats, augmentation -1\n", |
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| 2064 | "Batch 50 device: cuda time passed: 7.895 time per batch: 0.158\n", |
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| 2065 | "Batch 100 device: cuda time passed: 14.094 time per batch: 0.141\n", |
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| 2066 | "ver 34, iter 8, fold 0, val ll: 0.0611, cor: 0.8444, auc: 0.9886\n", |
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| 2067 | "setFeats, augmentation -1\n", |
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| 2068 | "Batch 50 device: cuda time passed: 8.393 time per batch: 0.168\n", |
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| 2069 | "Batch 100 device: cuda time passed: 14.507 time per batch: 0.145\n", |
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| 2070 | "ver 34, iter 9, fold 0, val ll: 0.0610, cor: 0.8446, auc: 0.9888\n", |
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| 2071 | "setFeats, augmentation -1\n", |
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| 2072 | "Batch 50 device: cuda time passed: 8.617 time per batch: 0.172\n", |
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| 2073 | "Batch 100 device: cuda time passed: 14.751 time per batch: 0.148\n", |
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| 2074 | "ver 34, iter 10, fold 0, val ll: 0.0610, cor: 0.8447, auc: 0.9887\n", |
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| 2075 | "setFeats, augmentation -1\n", |
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| 2076 | "Batch 50 device: cuda time passed: 7.839 time per batch: 0.157\n", |
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| 2077 | "Batch 100 device: cuda time passed: 14.319 time per batch: 0.143\n", |
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| 2078 | "ver 34, iter 11, fold 0, val ll: 0.0611, cor: 0.8444, auc: 0.9887\n", |
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| 2079 | "setFeats, augmentation -1\n", |
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| 2080 | "Batch 50 device: cuda time passed: 7.572 time per batch: 0.151\n", |
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| 2081 | "Batch 100 device: cuda time passed: 14.793 time per batch: 0.148\n", |
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| 2082 | "ver 34, iter 12, fold 0, val ll: 0.0609, cor: 0.8446, auc: 0.9888\n", |
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| 2083 | "setFeats, augmentation -1\n", |
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| 2084 | "Batch 50 device: cuda time passed: 8.295 time per batch: 0.166\n", |
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| 2085 | "Batch 100 device: cuda time passed: 14.345 time per batch: 0.143\n", |
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| 2086 | "ver 34, iter 13, fold 0, val ll: 0.0608, cor: 0.8447, auc: 0.9888\n", |
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| 2087 | "setFeats, augmentation -1\n", |
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| 2088 | "Batch 50 device: cuda time passed: 7.880 time per batch: 0.158\n", |
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| 2089 | "Batch 100 device: cuda time passed: 14.614 time per batch: 0.146\n", |
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| 2090 | "ver 34, iter 14, fold 0, val ll: 0.0609, cor: 0.8445, auc: 0.9888\n", |
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| 2091 | "setFeats, augmentation -1\n", |
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| 2092 | "Batch 50 device: cuda time passed: 8.390 time per batch: 0.168\n", |
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| 2093 | "Batch 100 device: cuda time passed: 14.339 time per batch: 0.143\n", |
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| 2094 | "ver 34, iter 15, fold 0, val ll: 0.0610, cor: 0.8446, auc: 0.9887\n", |
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| 2095 | "setFeats, augmentation -1\n", |
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| 2096 | "Batch 50 device: cuda time passed: 8.170 time per batch: 0.163\n", |
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| 2097 | "Batch 100 device: cuda time passed: 14.692 time per batch: 0.147\n", |
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| 2098 | "ver 34, iter 16, fold 0, val ll: 0.0609, cor: 0.8448, auc: 0.9887\n", |
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| 2099 | "setFeats, augmentation -1\n", |
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| 2100 | "Batch 50 device: cuda time passed: 8.665 time per batch: 0.173\n", |
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| 2101 | "Batch 100 device: cuda time passed: 14.827 time per batch: 0.148\n", |
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| 2102 | "ver 34, iter 17, fold 0, val ll: 0.0610, cor: 0.8442, auc: 0.9887\n", |
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| 2103 | "setFeats, augmentation -1\n", |
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| 2104 | "Batch 50 device: cuda time passed: 8.021 time per batch: 0.160\n", |
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| 2105 | "Batch 100 device: cuda time passed: 14.415 time per batch: 0.144\n", |
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| 2106 | "ver 34, iter 18, fold 0, val ll: 0.0608, cor: 0.8448, auc: 0.9888\n", |
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| 2107 | "setFeats, augmentation -1\n", |
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| 2108 | "Batch 50 device: cuda time passed: 8.678 time per batch: 0.174\n", |
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| 2109 | "Batch 100 device: cuda time passed: 14.637 time per batch: 0.146\n", |
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| 2110 | "ver 34, iter 19, fold 0, val ll: 0.0609, cor: 0.8445, auc: 0.9888\n", |
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| 2111 | "setFeats, augmentation -1\n", |
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| 2112 | "Batch 50 device: cuda time passed: 8.078 time per batch: 0.162\n", |
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| 2114 | "ver 34, iter 20, fold 0, val ll: 0.0611, cor: 0.8443, auc: 0.9886\n", |
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| 2115 | "setFeats, augmentation -1\n", |
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| 2116 | "Batch 50 device: cuda time passed: 8.296 time per batch: 0.166\n", |
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| 2117 | "Batch 100 device: cuda time passed: 14.547 time per batch: 0.145\n", |
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| 2118 | "ver 34, iter 21, fold 0, val ll: 0.0609, cor: 0.8446, auc: 0.9888\n", |
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| 2119 | "setFeats, augmentation -1\n", |
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| 2120 | "Batch 50 device: cuda time passed: 7.769 time per batch: 0.155\n", |
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| 2121 | "Batch 100 device: cuda time passed: 14.252 time per batch: 0.143\n", |
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| 2122 | "ver 34, iter 22, fold 0, val ll: 0.0610, cor: 0.8447, auc: 0.9886\n", |
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| 2123 | "setFeats, augmentation -1\n", |
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| 2124 | "Batch 50 device: cuda time passed: 7.987 time per batch: 0.160\n", |
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| 2126 | "ver 34, iter 23, fold 0, val ll: 0.0610, cor: 0.8445, auc: 0.9888\n", |
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| 2127 | "setFeats, augmentation -1\n", |
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| 2130 | "ver 34, iter 24, fold 0, val ll: 0.0612, cor: 0.8440, auc: 0.9887\n", |
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| 2131 | "setFeats, augmentation -1\n", |
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| 2132 | "Batch 50 device: cuda time passed: 7.965 time per batch: 0.159\n", |
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| 2134 | "ver 34, iter 25, fold 0, val ll: 0.0608, cor: 0.8451, auc: 0.9888\n", |
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| 2135 | "setFeats, augmentation -1\n", |
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| 2136 | "Batch 50 device: cuda time passed: 8.405 time per batch: 0.168\n", |
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| 2137 | "Batch 100 device: cuda time passed: 14.582 time per batch: 0.146\n", |
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| 2138 | "ver 34, iter 26, fold 0, val ll: 0.0608, cor: 0.8449, auc: 0.9888\n", |
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| 2139 | "setFeats, augmentation -1\n", |
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| 2140 | "Batch 50 device: cuda time passed: 7.919 time per batch: 0.158\n", |
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| 2141 | "Batch 100 device: cuda time passed: 14.240 time per batch: 0.142\n", |
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| 2142 | "ver 34, iter 27, fold 0, val ll: 0.0607, cor: 0.8450, auc: 0.9889\n", |
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| 2143 | "setFeats, augmentation -1\n", |
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| 2144 | "Batch 50 device: cuda time passed: 7.292 time per batch: 0.146\n", |
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| 2147 | "setFeats, augmentation -1\n", |
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| 2150 | "ver 34, iter 29, fold 0, val ll: 0.0609, cor: 0.8444, auc: 0.9888\n", |
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| 2151 | "setFeats, augmentation -1\n", |
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| 2152 | "Batch 50 device: cuda time passed: 7.837 time per batch: 0.157\n", |
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| 2154 | "ver 34, iter 30, fold 0, val ll: 0.0609, cor: 0.8448, auc: 0.9887\n", |
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| 2155 | "setFeats, augmentation -1\n", |
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| 2156 | "Batch 50 device: cuda time passed: 7.908 time per batch: 0.158\n", |
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| 2157 | "Batch 100 device: cuda time passed: 14.168 time per batch: 0.142\n", |
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| 2158 | "ver 34, iter 31, fold 0, val ll: 0.0609, cor: 0.8445, auc: 0.9888\n", |
||
| 2159 | "total running time 743.3103971481323\n", |
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| 2160 | "total time 14143.665662765503\n", |
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| 2161 | "completed epochs: 3 iters starting now: 32\n", |
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| 2162 | "adding dummy serieses 12\n", |
||
| 2163 | "DataSet 12 valid size 4288 fold 1\n", |
||
| 2164 | "dataset valid: 4288 loader valid: 134\n", |
||
| 2165 | "loading model model.b3.f1.d12.v34\n", |
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| 2166 | "setFeats, augmentation -1\n", |
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| 2167 | "Batch 50 device: cuda time passed: 8.167 time per batch: 0.163\n", |
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| 2168 | "Batch 100 device: cuda time passed: 14.378 time per batch: 0.144\n", |
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| 2169 | "ver 34, iter 0, fold 1, val ll: 0.0597, cor: 0.8453, auc: 0.9897\n", |
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| 2170 | "setFeats, augmentation -1\n", |
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| 2171 | "Batch 50 device: cuda time passed: 8.083 time per batch: 0.162\n", |
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| 2172 | "Batch 100 device: cuda time passed: 14.542 time per batch: 0.145\n", |
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| 2173 | "ver 34, iter 1, fold 1, val ll: 0.0594, cor: 0.8461, auc: 0.9898\n", |
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| 2174 | "setFeats, augmentation -1\n", |
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| 2175 | "Batch 50 device: cuda time passed: 7.404 time per batch: 0.148\n", |
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| 2176 | "Batch 100 device: cuda time passed: 13.462 time per batch: 0.135\n", |
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| 2177 | "ver 34, iter 2, fold 1, val ll: 0.0597, cor: 0.8455, auc: 0.9897\n", |
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| 2178 | "setFeats, augmentation -1\n", |
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| 2179 | "Batch 50 device: cuda time passed: 8.099 time per batch: 0.162\n", |
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| 2180 | "Batch 100 device: cuda time passed: 14.128 time per batch: 0.141\n", |
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| 2181 | "ver 34, iter 3, fold 1, val ll: 0.0595, cor: 0.8458, auc: 0.9897\n", |
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| 2182 | "setFeats, augmentation -1\n", |
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| 2183 | "Batch 50 device: cuda time passed: 8.284 time per batch: 0.166\n", |
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| 2184 | "Batch 100 device: cuda time passed: 14.410 time per batch: 0.144\n", |
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| 2185 | "ver 34, iter 4, fold 1, val ll: 0.0597, cor: 0.8456, auc: 0.9897\n", |
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| 2186 | "setFeats, augmentation -1\n", |
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| 2187 | "Batch 50 device: cuda time passed: 7.496 time per batch: 0.150\n", |
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| 2188 | "Batch 100 device: cuda time passed: 14.514 time per batch: 0.145\n", |
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| 2189 | "ver 34, iter 5, fold 1, val ll: 0.0597, cor: 0.8454, auc: 0.9898\n", |
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| 2190 | "setFeats, augmentation -1\n", |
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| 2191 | "Batch 50 device: cuda time passed: 8.689 time per batch: 0.174\n", |
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| 2192 | "Batch 100 device: cuda time passed: 14.776 time per batch: 0.148\n", |
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| 2193 | "ver 34, iter 6, fold 1, val ll: 0.0596, cor: 0.8457, auc: 0.9897\n", |
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| 2194 | "setFeats, augmentation -1\n", |
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| 2195 | "Batch 50 device: cuda time passed: 7.608 time per batch: 0.152\n", |
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| 2197 | "ver 34, iter 7, fold 1, val ll: 0.0597, cor: 0.8454, auc: 0.9897\n", |
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| 2198 | "setFeats, augmentation -1\n", |
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| 2199 | "Batch 50 device: cuda time passed: 7.919 time per batch: 0.158\n", |
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| 2200 | "Batch 100 device: cuda time passed: 13.820 time per batch: 0.138\n", |
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| 2201 | "ver 34, iter 8, fold 1, val ll: 0.0597, cor: 0.8454, auc: 0.9897\n", |
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| 2202 | "setFeats, augmentation -1\n", |
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| 2203 | "Batch 50 device: cuda time passed: 7.601 time per batch: 0.152\n", |
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| 2205 | "ver 34, iter 9, fold 1, val ll: 0.0598, cor: 0.8453, auc: 0.9897\n", |
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| 2206 | "setFeats, augmentation -1\n", |
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| 2207 | "Batch 50 device: cuda time passed: 8.007 time per batch: 0.160\n", |
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| 2208 | "Batch 100 device: cuda time passed: 14.392 time per batch: 0.144\n", |
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| 2209 | "ver 34, iter 10, fold 1, val ll: 0.0596, cor: 0.8456, auc: 0.9897\n", |
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| 2210 | "setFeats, augmentation -1\n", |
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| 2211 | "Batch 50 device: cuda time passed: 7.733 time per batch: 0.155\n", |
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| 2212 | "Batch 100 device: cuda time passed: 14.334 time per batch: 0.143\n", |
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| 2213 | "ver 34, iter 11, fold 1, val ll: 0.0595, cor: 0.8461, auc: 0.9898\n", |
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| 2214 | "setFeats, augmentation -1\n" |
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| 2215 | ] |
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| 2216 | }, |
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| 2217 | { |
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| 2218 | "name": "stdout", |
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| 2219 | "output_type": "stream", |
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| 2220 | "text": [ |
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| 2221 | "Batch 50 device: cuda time passed: 8.393 time per batch: 0.168\n", |
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| 2222 | "Batch 100 device: cuda time passed: 14.742 time per batch: 0.147\n", |
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| 2223 | "ver 34, iter 12, fold 1, val ll: 0.0595, cor: 0.8458, auc: 0.9898\n", |
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| 2224 | "setFeats, augmentation -1\n", |
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| 2225 | "Batch 50 device: cuda time passed: 7.863 time per batch: 0.157\n", |
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| 2226 | "Batch 100 device: cuda time passed: 13.937 time per batch: 0.139\n", |
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| 2227 | "ver 34, iter 13, fold 1, val ll: 0.0597, cor: 0.8454, auc: 0.9898\n", |
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| 2228 | "setFeats, augmentation -1\n", |
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| 2229 | "Batch 50 device: cuda time passed: 7.618 time per batch: 0.152\n", |
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| 2230 | "Batch 100 device: cuda time passed: 14.623 time per batch: 0.146\n", |
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| 2231 | "ver 34, iter 14, fold 1, val ll: 0.0594, cor: 0.8458, auc: 0.9898\n", |
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| 2232 | "setFeats, augmentation -1\n", |
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| 2233 | "Batch 50 device: cuda time passed: 8.221 time per batch: 0.164\n", |
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| 2234 | "Batch 100 device: cuda time passed: 14.541 time per batch: 0.145\n", |
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| 2235 | "ver 34, iter 15, fold 1, val ll: 0.0596, cor: 0.8456, auc: 0.9897\n", |
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| 2236 | "setFeats, augmentation -1\n", |
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| 2237 | "Batch 50 device: cuda time passed: 8.317 time per batch: 0.166\n", |
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| 2238 | "Batch 100 device: cuda time passed: 14.128 time per batch: 0.141\n", |
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| 2239 | "ver 34, iter 16, fold 1, val ll: 0.0596, cor: 0.8457, auc: 0.9898\n", |
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| 2240 | "setFeats, augmentation -1\n", |
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| 2241 | "Batch 50 device: cuda time passed: 7.753 time per batch: 0.155\n", |
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| 2242 | "Batch 100 device: cuda time passed: 13.980 time per batch: 0.140\n", |
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| 2243 | "ver 34, iter 17, fold 1, val ll: 0.0595, cor: 0.8459, auc: 0.9897\n", |
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| 2244 | "setFeats, augmentation -1\n", |
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| 2245 | "Batch 50 device: cuda time passed: 8.082 time per batch: 0.162\n", |
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| 2246 | "Batch 100 device: cuda time passed: 14.130 time per batch: 0.141\n", |
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| 2247 | "ver 34, iter 18, fold 1, val ll: 0.0594, cor: 0.8461, auc: 0.9898\n", |
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| 2248 | "setFeats, augmentation -1\n", |
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| 2249 | "Batch 50 device: cuda time passed: 7.979 time per batch: 0.160\n", |
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| 2250 | "Batch 100 device: cuda time passed: 14.019 time per batch: 0.140\n", |
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| 2251 | "ver 34, iter 19, fold 1, val ll: 0.0593, cor: 0.8464, auc: 0.9899\n", |
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| 2252 | "setFeats, augmentation -1\n", |
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| 2253 | "Batch 50 device: cuda time passed: 7.634 time per batch: 0.153\n", |
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| 2254 | "Batch 100 device: cuda time passed: 14.590 time per batch: 0.146\n", |
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| 2255 | "ver 34, iter 20, fold 1, val ll: 0.0597, cor: 0.8455, auc: 0.9897\n", |
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| 2256 | "setFeats, augmentation -1\n", |
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| 2257 | "Batch 50 device: cuda time passed: 8.381 time per batch: 0.168\n", |
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| 2258 | "Batch 100 device: cuda time passed: 14.405 time per batch: 0.144\n", |
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| 2259 | "ver 34, iter 21, fold 1, val ll: 0.0595, cor: 0.8463, auc: 0.9897\n", |
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| 2260 | "setFeats, augmentation -1\n", |
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| 2261 | "Batch 50 device: cuda time passed: 8.240 time per batch: 0.165\n", |
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| 2262 | "Batch 100 device: cuda time passed: 14.160 time per batch: 0.142\n", |
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| 2263 | "ver 34, iter 22, fold 1, val ll: 0.0596, cor: 0.8458, auc: 0.9897\n", |
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| 2264 | "setFeats, augmentation -1\n", |
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| 2265 | "Batch 50 device: cuda time passed: 7.938 time per batch: 0.159\n", |
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| 2266 | "Batch 100 device: cuda time passed: 14.408 time per batch: 0.144\n", |
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| 2267 | "ver 34, iter 23, fold 1, val ll: 0.0596, cor: 0.8455, auc: 0.9898\n", |
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| 2268 | "setFeats, augmentation -1\n", |
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| 2270 | "Batch 100 device: cuda time passed: 14.507 time per batch: 0.145\n", |
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| 2271 | "ver 34, iter 24, fold 1, val ll: 0.0596, cor: 0.8460, auc: 0.9897\n", |
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| 2272 | "setFeats, augmentation -1\n", |
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| 2274 | "Batch 100 device: cuda time passed: 14.345 time per batch: 0.143\n", |
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| 2275 | "ver 34, iter 25, fold 1, val ll: 0.0593, cor: 0.8464, auc: 0.9898\n", |
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| 2276 | "setFeats, augmentation -1\n", |
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| 2277 | "Batch 50 device: cuda time passed: 8.097 time per batch: 0.162\n", |
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| 2278 | "Batch 100 device: cuda time passed: 14.301 time per batch: 0.143\n", |
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| 2279 | "ver 34, iter 26, fold 1, val ll: 0.0597, cor: 0.8456, auc: 0.9897\n", |
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| 2280 | "setFeats, augmentation -1\n", |
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| 2281 | "Batch 50 device: cuda time passed: 8.920 time per batch: 0.178\n", |
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| 2282 | "Batch 100 device: cuda time passed: 14.919 time per batch: 0.149\n", |
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| 2283 | "ver 34, iter 27, fold 1, val ll: 0.0592, cor: 0.8466, auc: 0.9899\n", |
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| 2284 | "setFeats, augmentation -1\n", |
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| 2285 | "Batch 50 device: cuda time passed: 8.225 time per batch: 0.165\n", |
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| 2286 | "Batch 100 device: cuda time passed: 14.347 time per batch: 0.143\n", |
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| 2287 | "ver 34, iter 28, fold 1, val ll: 0.0595, cor: 0.8456, auc: 0.9898\n", |
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| 2288 | "setFeats, augmentation -1\n", |
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| 2289 | "Batch 50 device: cuda time passed: 8.348 time per batch: 0.167\n", |
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| 2290 | "Batch 100 device: cuda time passed: 14.347 time per batch: 0.143\n", |
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| 2291 | "ver 34, iter 29, fold 1, val ll: 0.0595, cor: 0.8462, auc: 0.9898\n", |
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| 2292 | "setFeats, augmentation -1\n", |
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| 2293 | "Batch 50 device: cuda time passed: 7.762 time per batch: 0.155\n", |
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| 2294 | "Batch 100 device: cuda time passed: 14.563 time per batch: 0.146\n", |
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| 2295 | "ver 34, iter 30, fold 1, val ll: 0.0597, cor: 0.8455, auc: 0.9897\n", |
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| 2296 | "setFeats, augmentation -1\n", |
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| 2297 | "Batch 50 device: cuda time passed: 8.218 time per batch: 0.164\n", |
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| 2298 | "Batch 100 device: cuda time passed: 14.506 time per batch: 0.145\n", |
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| 2299 | "ver 34, iter 31, fold 1, val ll: 0.0595, cor: 0.8458, auc: 0.9898\n", |
||
| 2300 | "total running time 723.6225900650024\n", |
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| 2301 | "total time 14867.529915571213\n", |
||
| 2302 | "completed epochs: 3 iters starting now: 32\n", |
||
| 2303 | "adding dummy serieses 27\n", |
||
| 2304 | "DataSet 12 valid size 4416 fold 2\n", |
||
| 2305 | "dataset valid: 4416 loader valid: 138\n", |
||
| 2306 | "loading model model.b3.f2.d12.v34\n", |
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| 2307 | "setFeats, augmentation -1\n", |
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| 2308 | "Batch 50 device: cuda time passed: 8.349 time per batch: 0.167\n", |
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| 2309 | "Batch 100 device: cuda time passed: 14.921 time per batch: 0.149\n", |
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| 2310 | "ver 34, iter 0, fold 2, val ll: 0.0605, cor: 0.8428, auc: 0.9889\n", |
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| 2311 | "setFeats, augmentation -1\n", |
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| 2312 | "Batch 50 device: cuda time passed: 7.820 time per batch: 0.156\n", |
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| 2313 | "Batch 100 device: cuda time passed: 14.591 time per batch: 0.146\n", |
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| 2314 | "ver 34, iter 1, fold 2, val ll: 0.0600, cor: 0.8438, auc: 0.9891\n", |
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| 2315 | "setFeats, augmentation -1\n", |
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| 2316 | "Batch 50 device: cuda time passed: 8.419 time per batch: 0.168\n", |
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| 2317 | "Batch 100 device: cuda time passed: 14.394 time per batch: 0.144\n", |
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| 2318 | "ver 34, iter 2, fold 2, val ll: 0.0603, cor: 0.8434, auc: 0.9890\n", |
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| 2319 | "setFeats, augmentation -1\n", |
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| 2320 | "Batch 50 device: cuda time passed: 7.641 time per batch: 0.153\n", |
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| 2321 | "Batch 100 device: cuda time passed: 14.569 time per batch: 0.146\n", |
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| 2322 | "ver 34, iter 3, fold 2, val ll: 0.0601, cor: 0.8436, auc: 0.9891\n", |
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| 2323 | "setFeats, augmentation -1\n", |
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| 2324 | "Batch 50 device: cuda time passed: 8.368 time per batch: 0.167\n", |
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| 2325 | "Batch 100 device: cuda time passed: 14.677 time per batch: 0.147\n", |
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| 2326 | "ver 34, iter 4, fold 2, val ll: 0.0604, cor: 0.8432, auc: 0.9888\n", |
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| 2327 | "setFeats, augmentation -1\n", |
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| 2328 | "Batch 50 device: cuda time passed: 7.538 time per batch: 0.151\n", |
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| 2329 | "Batch 100 device: cuda time passed: 14.921 time per batch: 0.149\n", |
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| 2330 | "ver 34, iter 5, fold 2, val ll: 0.0603, cor: 0.8434, auc: 0.9890\n", |
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| 2331 | "setFeats, augmentation -1\n", |
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| 2332 | "Batch 50 device: cuda time passed: 7.965 time per batch: 0.159\n", |
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| 2333 | "Batch 100 device: cuda time passed: 14.174 time per batch: 0.142\n", |
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| 2334 | "ver 34, iter 6, fold 2, val ll: 0.0600, cor: 0.8438, auc: 0.9890\n", |
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| 2335 | "setFeats, augmentation -1\n", |
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| 2336 | "Batch 50 device: cuda time passed: 8.064 time per batch: 0.161\n", |
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| 2337 | "Batch 100 device: cuda time passed: 14.308 time per batch: 0.143\n", |
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| 2338 | "ver 34, iter 7, fold 2, val ll: 0.0603, cor: 0.8434, auc: 0.9889\n", |
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| 2339 | "setFeats, augmentation -1\n", |
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| 2340 | "Batch 50 device: cuda time passed: 8.181 time per batch: 0.164\n", |
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| 2341 | "Batch 100 device: cuda time passed: 14.395 time per batch: 0.144\n", |
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| 2342 | "ver 34, iter 8, fold 2, val ll: 0.0600, cor: 0.8439, auc: 0.9890\n", |
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| 2343 | "setFeats, augmentation -1\n", |
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| 2344 | "Batch 50 device: cuda time passed: 8.308 time per batch: 0.166\n", |
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| 2345 | "Batch 100 device: cuda time passed: 14.523 time per batch: 0.145\n", |
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| 2346 | "ver 34, iter 9, fold 2, val ll: 0.0602, cor: 0.8433, auc: 0.9890\n", |
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| 2347 | "setFeats, augmentation -1\n", |
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| 2348 | "Batch 50 device: cuda time passed: 8.045 time per batch: 0.161\n", |
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| 2349 | "Batch 100 device: cuda time passed: 14.723 time per batch: 0.147\n", |
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| 2350 | "ver 34, iter 10, fold 2, val ll: 0.0604, cor: 0.8427, auc: 0.9889\n", |
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| 2351 | "setFeats, augmentation -1\n", |
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| 2352 | "Batch 50 device: cuda time passed: 7.624 time per batch: 0.152\n", |
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| 2353 | "Batch 100 device: cuda time passed: 14.710 time per batch: 0.147\n", |
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| 2354 | "ver 34, iter 11, fold 2, val ll: 0.0603, cor: 0.8435, auc: 0.9889\n", |
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| 2355 | "setFeats, augmentation -1\n", |
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| 2356 | "Batch 50 device: cuda time passed: 8.438 time per batch: 0.169\n", |
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| 2357 | "Batch 100 device: cuda time passed: 14.611 time per batch: 0.146\n", |
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| 2358 | "ver 34, iter 12, fold 2, val ll: 0.0603, cor: 0.8434, auc: 0.9890\n", |
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| 2359 | "setFeats, augmentation -1\n", |
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| 2360 | "Batch 50 device: cuda time passed: 8.431 time per batch: 0.169\n", |
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| 2362 | "ver 34, iter 13, fold 2, val ll: 0.0602, cor: 0.8432, auc: 0.9891\n", |
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| 2363 | "setFeats, augmentation -1\n", |
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| 2364 | "Batch 50 device: cuda time passed: 7.725 time per batch: 0.154\n", |
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| 2366 | "ver 34, iter 14, fold 2, val ll: 0.0604, cor: 0.8429, auc: 0.9889\n", |
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| 2367 | "setFeats, augmentation -1\n", |
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| 2372 | "Batch 50 device: cuda time passed: 8.264 time per batch: 0.165\n" |
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| 2373 | ] |
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| 2374 | }, |
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| 2375 | { |
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| 2376 | "name": "stdout", |
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| 2377 | "output_type": "stream", |
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| 2378 | "text": [ |
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| 2379 | "Batch 100 device: cuda time passed: 15.089 time per batch: 0.151\n", |
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| 2380 | "ver 34, iter 16, fold 2, val ll: 0.0605, cor: 0.8425, auc: 0.9890\n", |
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| 2381 | "setFeats, augmentation -1\n", |
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| 2382 | "Batch 50 device: cuda time passed: 7.920 time per batch: 0.158\n", |
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| 2384 | "ver 34, iter 17, fold 2, val ll: 0.0603, cor: 0.8430, auc: 0.9890\n", |
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| 2385 | "setFeats, augmentation -1\n", |
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| 2386 | "Batch 50 device: cuda time passed: 8.102 time per batch: 0.162\n", |
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| 2388 | "ver 34, iter 18, fold 2, val ll: 0.0604, cor: 0.8428, auc: 0.9889\n", |
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| 2392 | "ver 34, iter 19, fold 2, val ll: 0.0603, cor: 0.8435, auc: 0.9889\n", |
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| 2417 | "setFeats, augmentation -1\n", |
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| 2418 | "Batch 50 device: cuda time passed: 8.471 time per batch: 0.169\n", |
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| 2421 | "setFeats, augmentation -1\n", |
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| 2424 | "ver 34, iter 27, fold 2, val ll: 0.0604, cor: 0.8430, auc: 0.9889\n", |
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| 2425 | "setFeats, augmentation -1\n", |
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| 2437 | "setFeats, augmentation -1\n", |
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| 2440 | "ver 34, iter 31, fold 2, val ll: 0.0603, cor: 0.8431, auc: 0.9889\n", |
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| 2441 | "total running time 756.8606667518616\n", |
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| 2442 | "total time 15624.633174657822\n", |
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| 2443 | "completed epochs: 3 iters starting now: 32\n", |
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| 2444 | "adding dummy serieses 16\n", |
||
| 2445 | "DataSet 12 valid size 4352 fold 3\n", |
||
| 2446 | "dataset valid: 4352 loader valid: 136\n", |
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| 2447 | "loading model model.b3.f3.d12.v34\n", |
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| 2448 | "setFeats, augmentation -1\n", |
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| 2449 | "Batch 50 device: cuda time passed: 8.148 time per batch: 0.163\n", |
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| 2456 | "setFeats, augmentation -1\n", |
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| 2459 | "ver 34, iter 2, fold 3, val ll: 0.0627, cor: 0.8401, auc: 0.9887\n", |
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| 2491 | "ver 34, iter 10, fold 3, val ll: 0.0626, cor: 0.8407, auc: 0.9887\n", |
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| 2492 | "setFeats, augmentation -1\n", |
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| 2493 | "Batch 50 device: cuda time passed: 8.033 time per batch: 0.161\n", |
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| 2496 | "setFeats, augmentation -1\n", |
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| 2499 | "ver 34, iter 12, fold 3, val ll: 0.0628, cor: 0.8400, auc: 0.9887\n", |
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| 2500 | "setFeats, augmentation -1\n", |
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| 2501 | "Batch 50 device: cuda time passed: 8.258 time per batch: 0.165\n", |
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| 2503 | "ver 34, iter 13, fold 3, val ll: 0.0627, cor: 0.8399, auc: 0.9887\n", |
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| 2504 | "setFeats, augmentation -1\n", |
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| 2505 | "Batch 50 device: cuda time passed: 7.675 time per batch: 0.154\n", |
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| 2506 | "Batch 100 device: cuda time passed: 15.058 time per batch: 0.151\n", |
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| 2507 | "ver 34, iter 14, fold 3, val ll: 0.0626, cor: 0.8405, auc: 0.9887\n", |
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| 2508 | "setFeats, augmentation -1\n", |
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| 2509 | "Batch 50 device: cuda time passed: 7.952 time per batch: 0.159\n", |
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| 2510 | "Batch 100 device: cuda time passed: 14.168 time per batch: 0.142\n", |
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| 2511 | "ver 34, iter 15, fold 3, val ll: 0.0628, cor: 0.8400, auc: 0.9886\n", |
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| 2512 | "setFeats, augmentation -1\n", |
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| 2513 | "Batch 50 device: cuda time passed: 8.219 time per batch: 0.164\n", |
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| 2514 | "Batch 100 device: cuda time passed: 14.740 time per batch: 0.147\n", |
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| 2515 | "ver 34, iter 16, fold 3, val ll: 0.0625, cor: 0.8409, auc: 0.9887\n", |
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| 2516 | "setFeats, augmentation -1\n", |
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| 2517 | "Batch 50 device: cuda time passed: 7.800 time per batch: 0.156\n", |
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| 2518 | "Batch 100 device: cuda time passed: 14.480 time per batch: 0.145\n", |
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| 2519 | "ver 34, iter 17, fold 3, val ll: 0.0628, cor: 0.8407, auc: 0.9885\n", |
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| 2520 | "setFeats, augmentation -1\n", |
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| 2521 | "Batch 50 device: cuda time passed: 8.316 time per batch: 0.166\n", |
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| 2522 | "Batch 100 device: cuda time passed: 14.148 time per batch: 0.141\n", |
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| 2523 | "ver 34, iter 18, fold 3, val ll: 0.0625, cor: 0.8409, auc: 0.9887\n", |
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| 2524 | "setFeats, augmentation -1\n", |
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| 2525 | "Batch 50 device: cuda time passed: 7.750 time per batch: 0.155\n", |
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| 2526 | "Batch 100 device: cuda time passed: 14.642 time per batch: 0.146\n", |
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| 2527 | "ver 34, iter 19, fold 3, val ll: 0.0628, cor: 0.8401, auc: 0.9887\n", |
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| 2528 | "setFeats, augmentation -1\n", |
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| 2529 | "Batch 50 device: cuda time passed: 8.529 time per batch: 0.171\n", |
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| 2531 | ] |
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| 2532 | }, |
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| 2533 | { |
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| 2534 | "name": "stdout", |
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| 2535 | "output_type": "stream", |
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| 2536 | "text": [ |
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| 2537 | "ver 34, iter 20, fold 3, val ll: 0.0627, cor: 0.8404, auc: 0.9886\n", |
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| 2538 | "setFeats, augmentation -1\n", |
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| 2539 | "Batch 50 device: cuda time passed: 8.006 time per batch: 0.160\n", |
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| 2540 | "Batch 100 device: cuda time passed: 14.026 time per batch: 0.140\n", |
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| 2541 | "ver 34, iter 21, fold 3, val ll: 0.0628, cor: 0.8402, auc: 0.9887\n", |
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| 2542 | "setFeats, augmentation -1\n", |
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| 2543 | "Batch 50 device: cuda time passed: 8.349 time per batch: 0.167\n", |
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| 2544 | "Batch 100 device: cuda time passed: 14.435 time per batch: 0.144\n", |
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| 2545 | "ver 34, iter 22, fold 3, val ll: 0.0627, cor: 0.8403, auc: 0.9887\n", |
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| 2546 | "setFeats, augmentation -1\n", |
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| 2547 | "Batch 50 device: cuda time passed: 8.184 time per batch: 0.164\n", |
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| 2548 | "Batch 100 device: cuda time passed: 14.495 time per batch: 0.145\n", |
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| 2549 | "ver 34, iter 23, fold 3, val ll: 0.0627, cor: 0.8403, auc: 0.9888\n", |
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| 2550 | "setFeats, augmentation -1\n", |
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| 2551 | "Batch 50 device: cuda time passed: 7.872 time per batch: 0.157\n", |
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| 2552 | "Batch 100 device: cuda time passed: 14.538 time per batch: 0.145\n", |
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| 2553 | "ver 34, iter 24, fold 3, val ll: 0.0623, cor: 0.8408, auc: 0.9888\n", |
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| 2554 | "setFeats, augmentation -1\n", |
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| 2555 | "Batch 50 device: cuda time passed: 7.826 time per batch: 0.157\n", |
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| 2556 | "Batch 100 device: cuda time passed: 15.779 time per batch: 0.158\n", |
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| 2557 | "ver 34, iter 25, fold 3, val ll: 0.0627, cor: 0.8404, auc: 0.9886\n", |
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| 2558 | "setFeats, augmentation -1\n", |
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| 2559 | "Batch 50 device: cuda time passed: 7.871 time per batch: 0.157\n", |
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| 2560 | "Batch 100 device: cuda time passed: 14.512 time per batch: 0.145\n", |
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| 2561 | "ver 34, iter 26, fold 3, val ll: 0.0627, cor: 0.8404, auc: 0.9887\n", |
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| 2562 | "setFeats, augmentation -1\n", |
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| 2563 | "Batch 50 device: cuda time passed: 8.599 time per batch: 0.172\n", |
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| 2564 | "Batch 100 device: cuda time passed: 14.392 time per batch: 0.144\n", |
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| 2565 | "ver 34, iter 27, fold 3, val ll: 0.0627, cor: 0.8403, auc: 0.9886\n", |
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| 2566 | "setFeats, augmentation -1\n", |
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| 2567 | "Batch 50 device: cuda time passed: 8.072 time per batch: 0.161\n", |
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| 2568 | "Batch 100 device: cuda time passed: 14.356 time per batch: 0.144\n", |
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| 2569 | "ver 34, iter 28, fold 3, val ll: 0.0627, cor: 0.8403, auc: 0.9886\n", |
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| 2570 | "setFeats, augmentation -1\n", |
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| 2571 | "Batch 50 device: cuda time passed: 7.696 time per batch: 0.154\n", |
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| 2572 | "Batch 100 device: cuda time passed: 14.316 time per batch: 0.143\n", |
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| 2573 | "ver 34, iter 29, fold 3, val ll: 0.0627, cor: 0.8403, auc: 0.9886\n", |
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| 2574 | "setFeats, augmentation -1\n", |
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| 2575 | "Batch 50 device: cuda time passed: 7.732 time per batch: 0.155\n", |
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| 2576 | "Batch 100 device: cuda time passed: 14.896 time per batch: 0.149\n", |
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| 2577 | "ver 34, iter 30, fold 3, val ll: 0.0626, cor: 0.8407, auc: 0.9887\n", |
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| 2578 | "setFeats, augmentation -1\n", |
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| 2579 | "Batch 50 device: cuda time passed: 8.028 time per batch: 0.161\n", |
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| 2580 | "Batch 100 device: cuda time passed: 14.561 time per batch: 0.146\n", |
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| 2581 | "ver 34, iter 31, fold 3, val ll: 0.0625, cor: 0.8406, auc: 0.9888\n", |
||
| 2582 | "total running time 748.939469575882\n", |
||
| 2583 | "total time 16373.82175731659\n", |
||
| 2584 | "completed epochs: 3 iters starting now: 32\n", |
||
| 2585 | "adding dummy serieses 16\n", |
||
| 2586 | "DataSet 12 valid size 4384 fold 4\n", |
||
| 2587 | "dataset valid: 4384 loader valid: 137\n", |
||
| 2588 | "loading model model.b3.f4.d12.v34\n", |
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| 2589 | "setFeats, augmentation -1\n", |
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| 2590 | "Batch 50 device: cuda time passed: 8.040 time per batch: 0.161\n", |
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| 2591 | "Batch 100 device: cuda time passed: 15.289 time per batch: 0.153\n", |
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| 2592 | "ver 34, iter 0, fold 4, val ll: 0.0611, cor: 0.8442, auc: 0.9884\n", |
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| 2593 | "setFeats, augmentation -1\n", |
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| 2594 | "Batch 50 device: cuda time passed: 7.957 time per batch: 0.159\n", |
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| 2595 | "Batch 100 device: cuda time passed: 14.320 time per batch: 0.143\n", |
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| 2596 | "ver 34, iter 1, fold 4, val ll: 0.0613, cor: 0.8441, auc: 0.9885\n", |
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| 2597 | "setFeats, augmentation -1\n", |
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| 2598 | "Batch 50 device: cuda time passed: 8.086 time per batch: 0.162\n", |
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| 2599 | "Batch 100 device: cuda time passed: 14.522 time per batch: 0.145\n", |
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| 2600 | "ver 34, iter 2, fold 4, val ll: 0.0614, cor: 0.8440, auc: 0.9883\n", |
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| 2601 | "setFeats, augmentation -1\n", |
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| 2603 | "Batch 100 device: cuda time passed: 15.521 time per batch: 0.155\n", |
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| 2604 | "ver 34, iter 3, fold 4, val ll: 0.0613, cor: 0.8439, auc: 0.9884\n", |
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| 2607 | "Batch 100 device: cuda time passed: 14.025 time per batch: 0.140\n", |
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| 2608 | "ver 34, iter 4, fold 4, val ll: 0.0613, cor: 0.8437, auc: 0.9883\n", |
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| 2609 | "setFeats, augmentation -1\n", |
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| 2610 | "Batch 50 device: cuda time passed: 7.868 time per batch: 0.157\n", |
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| 2612 | "ver 34, iter 5, fold 4, val ll: 0.0612, cor: 0.8440, auc: 0.9883\n", |
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| 2613 | "setFeats, augmentation -1\n", |
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| 2614 | "Batch 50 device: cuda time passed: 8.101 time per batch: 0.162\n", |
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| 2690 | ] |
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| 2691 | }, |
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| 2692 | { |
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| 2693 | "name": "stdout", |
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| 2695 | "text": [ |
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| 2696 | "Batch 50 device: cuda time passed: 8.386 time per batch: 0.168\n", |
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| 2722 | "ver 34, iter 31, fold 4, val ll: 0.0612, cor: 0.8444, auc: 0.9884\n", |
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| 2723 | "total running time 753.5520458221436\n", |
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| 2724 | "total time 17127.620171546936\n", |
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| 2725 | "completed epochs: 3 iters starting now: 32\n", |
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| 2726 | "adding dummy serieses 9\n", |
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| 2727 | "DataSet 13 valid size 4384 fold 0\n", |
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| 2728 | "dataset valid: 4384 loader valid: 137\n", |
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| 2729 | "loading model model.b3.f0.d13.v34\n", |
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| 2730 | "setFeats, augmentation -1\n", |
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| 2805 | "ver 34, iter 18, fold 0, val ll: 0.0610, cor: 0.8434, auc: 0.9890\n", |
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| 2810 | "setFeats, augmentation -1\n", |
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| 2814 | "setFeats, augmentation -1\n", |
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| 2820 | "Batch 100 device: cuda time passed: 14.061 time per batch: 0.141\n", |
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| 2821 | "ver 34, iter 22, fold 0, val ll: 0.0609, cor: 0.8440, auc: 0.9889\n", |
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| 2837 | "ver 34, iter 26, fold 0, val ll: 0.0608, cor: 0.8440, auc: 0.9890\n", |
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| 2838 | "setFeats, augmentation -1\n", |
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| 2839 | "Batch 50 device: cuda time passed: 8.166 time per batch: 0.163\n", |
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| 2841 | "ver 34, iter 27, fold 0, val ll: 0.0606, cor: 0.8443, auc: 0.9891\n", |
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| 2842 | "setFeats, augmentation -1\n", |
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| 2848 | ] |
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| 2849 | }, |
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| 2850 | { |
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| 2851 | "name": "stdout", |
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| 2852 | "output_type": "stream", |
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| 2853 | "text": [ |
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| 2854 | "Batch 100 device: cuda time passed: 14.007 time per batch: 0.140\n", |
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| 2855 | "ver 34, iter 29, fold 0, val ll: 0.0608, cor: 0.8444, auc: 0.9889\n", |
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| 2856 | "setFeats, augmentation -1\n", |
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| 2857 | "Batch 50 device: cuda time passed: 7.859 time per batch: 0.157\n", |
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| 2858 | "Batch 100 device: cuda time passed: 14.598 time per batch: 0.146\n", |
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| 2859 | "ver 34, iter 30, fold 0, val ll: 0.0610, cor: 0.8436, auc: 0.9889\n", |
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| 2860 | "setFeats, augmentation -1\n", |
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| 2861 | "Batch 50 device: cuda time passed: 8.346 time per batch: 0.167\n", |
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| 2863 | "ver 34, iter 31, fold 0, val ll: 0.0610, cor: 0.8437, auc: 0.9889\n", |
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| 2864 | "total running time 753.0968706607819\n", |
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| 2865 | "total time 17880.959055662155\n", |
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| 2866 | "completed epochs: 3 iters starting now: 32\n", |
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| 2867 | "adding dummy serieses 12\n", |
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| 2868 | "DataSet 13 valid size 4288 fold 1\n", |
||
| 2869 | "dataset valid: 4288 loader valid: 134\n", |
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| 2870 | "loading model model.b3.f1.d13.v34\n", |
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| 2871 | "setFeats, augmentation -1\n", |
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| 2992 | "Batch 50 device: cuda time passed: 8.738 time per batch: 0.175\n", |
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| 2994 | "ver 34, iter 30, fold 1, val ll: 0.0600, cor: 0.8442, auc: 0.9897\n", |
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| 2995 | "setFeats, augmentation -1\n", |
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| 2996 | "Batch 50 device: cuda time passed: 8.081 time per batch: 0.162\n", |
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| 2998 | "ver 34, iter 31, fold 1, val ll: 0.0598, cor: 0.8446, auc: 0.9897\n", |
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| 2999 | "total running time 734.7177088260651\n", |
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| 3000 | "total time 18615.920258760452\n", |
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| 3001 | "completed epochs: 3 iters starting now: 32\n", |
||
| 3002 | "adding dummy serieses 27\n", |
||
| 3003 | "DataSet 13 valid size 4416 fold 2\n", |
||
| 3004 | "dataset valid: 4416 loader valid: 138\n", |
||
| 3005 | "loading model model.b3.f2.d13.v34\n", |
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| 3006 | "setFeats, augmentation -1\n", |
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| 3009 | ] |
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| 3010 | }, |
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| 3011 | { |
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| 3012 | "name": "stdout", |
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| 3013 | "output_type": "stream", |
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| 3014 | "text": [ |
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| 3015 | "ver 34, iter 0, fold 2, val ll: 0.0602, cor: 0.8434, auc: 0.9890\n", |
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| 3016 | "setFeats, augmentation -1\n", |
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| 3019 | "ver 34, iter 1, fold 2, val ll: 0.0601, cor: 0.8435, auc: 0.9891\n", |
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| 3020 | "setFeats, augmentation -1\n", |
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| 3023 | "ver 34, iter 2, fold 2, val ll: 0.0602, cor: 0.8432, auc: 0.9890\n", |
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| 3027 | "ver 34, iter 3, fold 2, val ll: 0.0601, cor: 0.8439, auc: 0.9890\n", |
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| 3075 | "ver 34, iter 15, fold 2, val ll: 0.0601, cor: 0.8438, auc: 0.9890\n", |
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| 3079 | "ver 34, iter 16, fold 2, val ll: 0.0603, cor: 0.8432, auc: 0.9889\n", |
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| 3080 | "setFeats, augmentation -1\n", |
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| 3083 | "ver 34, iter 17, fold 2, val ll: 0.0600, cor: 0.8440, auc: 0.9890\n", |
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| 3084 | "setFeats, augmentation -1\n", |
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| 3085 | "Batch 50 device: cuda time passed: 8.432 time per batch: 0.169\n", |
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| 3088 | "setFeats, augmentation -1\n", |
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| 3089 | "Batch 50 device: cuda time passed: 8.448 time per batch: 0.169\n", |
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| 3091 | "ver 34, iter 19, fold 2, val ll: 0.0601, cor: 0.8436, auc: 0.9890\n", |
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| 3095 | "ver 34, iter 20, fold 2, val ll: 0.0602, cor: 0.8431, auc: 0.9891\n", |
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| 3096 | "setFeats, augmentation -1\n", |
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| 3099 | "ver 34, iter 21, fold 2, val ll: 0.0602, cor: 0.8433, auc: 0.9890\n", |
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| 3100 | "setFeats, augmentation -1\n", |
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| 3101 | "Batch 50 device: cuda time passed: 7.863 time per batch: 0.157\n", |
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| 3124 | "setFeats, augmentation -1\n", |
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| 3125 | "Batch 50 device: cuda time passed: 8.024 time per batch: 0.160\n", |
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| 3126 | "Batch 100 device: cuda time passed: 15.108 time per batch: 0.151\n", |
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| 3127 | "ver 34, iter 28, fold 2, val ll: 0.0601, cor: 0.8436, auc: 0.9891\n", |
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| 3128 | "setFeats, augmentation -1\n", |
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| 3129 | "Batch 50 device: cuda time passed: 8.179 time per batch: 0.164\n", |
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| 3130 | "Batch 100 device: cuda time passed: 15.084 time per batch: 0.151\n", |
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| 3131 | "ver 34, iter 29, fold 2, val ll: 0.0603, cor: 0.8433, auc: 0.9889\n", |
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| 3132 | "setFeats, augmentation -1\n", |
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| 3133 | "Batch 50 device: cuda time passed: 8.489 time per batch: 0.170\n", |
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| 3134 | "Batch 100 device: cuda time passed: 15.248 time per batch: 0.152\n", |
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| 3135 | "ver 34, iter 30, fold 2, val ll: 0.0602, cor: 0.8435, auc: 0.9890\n", |
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| 3136 | "setFeats, augmentation -1\n", |
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| 3137 | "Batch 50 device: cuda time passed: 7.780 time per batch: 0.156\n", |
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| 3138 | "Batch 100 device: cuda time passed: 14.653 time per batch: 0.147\n", |
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| 3139 | "ver 34, iter 31, fold 2, val ll: 0.0602, cor: 0.8432, auc: 0.9890\n", |
||
| 3140 | "total running time 759.7050180435181\n", |
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| 3141 | "total time 19375.86375927925\n", |
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| 3142 | "completed epochs: 3 iters starting now: 32\n", |
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| 3143 | "adding dummy serieses 16\n", |
||
| 3144 | "DataSet 13 valid size 4352 fold 3\n", |
||
| 3145 | "dataset valid: 4352 loader valid: 136\n", |
||
| 3146 | "loading model model.b3.f3.d13.v34\n", |
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| 3147 | "setFeats, augmentation -1\n", |
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| 3148 | "Batch 50 device: cuda time passed: 8.209 time per batch: 0.164\n", |
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| 3149 | "Batch 100 device: cuda time passed: 14.432 time per batch: 0.144\n", |
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| 3150 | "ver 34, iter 0, fold 3, val ll: 0.0629, cor: 0.8398, auc: 0.9886\n", |
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| 3151 | "setFeats, augmentation -1\n", |
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| 3152 | "Batch 50 device: cuda time passed: 8.060 time per batch: 0.161\n", |
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| 3153 | "Batch 100 device: cuda time passed: 14.405 time per batch: 0.144\n", |
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| 3154 | "ver 34, iter 1, fold 3, val ll: 0.0631, cor: 0.8396, auc: 0.9885\n", |
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| 3155 | "setFeats, augmentation -1\n", |
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| 3156 | "Batch 50 device: cuda time passed: 7.998 time per batch: 0.160\n", |
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| 3157 | "Batch 100 device: cuda time passed: 14.574 time per batch: 0.146\n", |
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| 3158 | "ver 34, iter 2, fold 3, val ll: 0.0632, cor: 0.8388, auc: 0.9886\n", |
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| 3159 | "setFeats, augmentation -1\n", |
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| 3160 | "Batch 50 device: cuda time passed: 8.088 time per batch: 0.162\n", |
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| 3161 | "Batch 100 device: cuda time passed: 14.750 time per batch: 0.148\n", |
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| 3162 | "ver 34, iter 3, fold 3, val ll: 0.0630, cor: 0.8399, auc: 0.9885\n", |
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| 3163 | "setFeats, augmentation -1\n", |
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| 3164 | "Batch 50 device: cuda time passed: 7.872 time per batch: 0.157\n", |
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| 3165 | "Batch 100 device: cuda time passed: 15.131 time per batch: 0.151\n", |
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| 3166 | "ver 34, iter 4, fold 3, val ll: 0.0629, cor: 0.8396, auc: 0.9887\n", |
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| 3167 | "setFeats, augmentation -1\n" |
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| 3168 | ] |
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| 3169 | }, |
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| 3170 | { |
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| 3171 | "name": "stdout", |
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| 3172 | "output_type": "stream", |
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| 3173 | "text": [ |
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| 3174 | "Batch 50 device: cuda time passed: 7.764 time per batch: 0.155\n", |
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| 3175 | "Batch 100 device: cuda time passed: 14.443 time per batch: 0.144\n", |
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| 3176 | "ver 34, iter 5, fold 3, val ll: 0.0630, cor: 0.8392, auc: 0.9886\n", |
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| 3177 | "setFeats, augmentation -1\n", |
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| 3178 | "Batch 50 device: cuda time passed: 8.046 time per batch: 0.161\n", |
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| 3180 | "ver 34, iter 6, fold 3, val ll: 0.0630, cor: 0.8400, auc: 0.9886\n", |
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| 3181 | "setFeats, augmentation -1\n", |
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| 3184 | "ver 34, iter 7, fold 3, val ll: 0.0629, cor: 0.8397, auc: 0.9886\n", |
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| 3185 | "setFeats, augmentation -1\n", |
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| 3187 | "Batch 100 device: cuda time passed: 15.082 time per batch: 0.151\n", |
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| 3188 | "ver 34, iter 8, fold 3, val ll: 0.0630, cor: 0.8396, auc: 0.9887\n", |
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| 3189 | "setFeats, augmentation -1\n", |
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| 3190 | "Batch 50 device: cuda time passed: 8.233 time per batch: 0.165\n", |
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| 3191 | "Batch 100 device: cuda time passed: 14.812 time per batch: 0.148\n", |
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| 3192 | "ver 34, iter 9, fold 3, val ll: 0.0630, cor: 0.8392, auc: 0.9887\n", |
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| 3193 | "setFeats, augmentation -1\n", |
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| 3196 | "ver 34, iter 10, fold 3, val ll: 0.0631, cor: 0.8393, auc: 0.9886\n", |
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| 3197 | "setFeats, augmentation -1\n", |
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| 3198 | "Batch 50 device: cuda time passed: 8.403 time per batch: 0.168\n", |
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| 3200 | "ver 34, iter 11, fold 3, val ll: 0.0630, cor: 0.8396, auc: 0.9886\n", |
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| 3201 | "setFeats, augmentation -1\n", |
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| 3202 | "Batch 50 device: cuda time passed: 7.628 time per batch: 0.153\n", |
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| 3203 | "Batch 100 device: cuda time passed: 15.699 time per batch: 0.157\n", |
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| 3204 | "ver 34, iter 12, fold 3, val ll: 0.0632, cor: 0.8390, auc: 0.9886\n", |
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| 3205 | "setFeats, augmentation -1\n", |
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| 3206 | "Batch 50 device: cuda time passed: 7.949 time per batch: 0.159\n", |
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| 3207 | "Batch 100 device: cuda time passed: 14.760 time per batch: 0.148\n", |
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| 3208 | "ver 34, iter 13, fold 3, val ll: 0.0630, cor: 0.8398, auc: 0.9885\n", |
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| 3209 | "setFeats, augmentation -1\n", |
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| 3210 | "Batch 50 device: cuda time passed: 8.102 time per batch: 0.162\n", |
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| 3211 | "Batch 100 device: cuda time passed: 14.558 time per batch: 0.146\n", |
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| 3212 | "ver 34, iter 14, fold 3, val ll: 0.0631, cor: 0.8389, auc: 0.9886\n", |
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| 3213 | "setFeats, augmentation -1\n", |
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| 3214 | "Batch 50 device: cuda time passed: 8.056 time per batch: 0.161\n", |
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| 3215 | "Batch 100 device: cuda time passed: 14.553 time per batch: 0.146\n", |
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| 3216 | "ver 34, iter 15, fold 3, val ll: 0.0633, cor: 0.8389, auc: 0.9886\n", |
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| 3217 | "setFeats, augmentation -1\n", |
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| 3218 | "Batch 50 device: cuda time passed: 8.476 time per batch: 0.170\n", |
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| 3219 | "Batch 100 device: cuda time passed: 14.739 time per batch: 0.147\n", |
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| 3220 | "ver 34, iter 16, fold 3, val ll: 0.0630, cor: 0.8395, auc: 0.9887\n", |
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| 3221 | "setFeats, augmentation -1\n", |
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| 3222 | "Batch 50 device: cuda time passed: 8.207 time per batch: 0.164\n", |
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| 3223 | "Batch 100 device: cuda time passed: 14.548 time per batch: 0.145\n", |
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| 3224 | "ver 34, iter 17, fold 3, val ll: 0.0632, cor: 0.8392, auc: 0.9886\n", |
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| 3225 | "setFeats, augmentation -1\n", |
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| 3226 | "Batch 50 device: cuda time passed: 8.305 time per batch: 0.166\n", |
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| 3227 | "Batch 100 device: cuda time passed: 14.417 time per batch: 0.144\n", |
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| 3228 | "ver 34, iter 18, fold 3, val ll: 0.0630, cor: 0.8397, auc: 0.9887\n", |
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| 3229 | "setFeats, augmentation -1\n", |
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| 3230 | "Batch 50 device: cuda time passed: 7.726 time per batch: 0.155\n", |
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| 3231 | "Batch 100 device: cuda time passed: 15.397 time per batch: 0.154\n", |
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| 3232 | "ver 34, iter 19, fold 3, val ll: 0.0630, cor: 0.8398, auc: 0.9886\n", |
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| 3233 | "setFeats, augmentation -1\n", |
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| 3234 | "Batch 50 device: cuda time passed: 7.974 time per batch: 0.159\n", |
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| 3235 | "Batch 100 device: cuda time passed: 14.515 time per batch: 0.145\n", |
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| 3236 | "ver 34, iter 20, fold 3, val ll: 0.0634, cor: 0.8385, auc: 0.9885\n", |
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| 3237 | "setFeats, augmentation -1\n", |
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| 3238 | "Batch 50 device: cuda time passed: 7.898 time per batch: 0.158\n", |
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| 3239 | "Batch 100 device: cuda time passed: 14.685 time per batch: 0.147\n", |
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| 3240 | "ver 34, iter 21, fold 3, val ll: 0.0629, cor: 0.8399, auc: 0.9886\n", |
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| 3241 | "setFeats, augmentation -1\n", |
||
| 3242 | "Batch 50 device: cuda time passed: 7.814 time per batch: 0.156\n", |
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| 3243 | "Batch 100 device: cuda time passed: 15.322 time per batch: 0.153\n", |
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| 3244 | "ver 34, iter 22, fold 3, val ll: 0.0631, cor: 0.8392, auc: 0.9885\n", |
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| 3245 | "setFeats, augmentation -1\n", |
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| 3248 | "ver 34, iter 23, fold 3, val ll: 0.0630, cor: 0.8397, auc: 0.9887\n", |
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| 3249 | "setFeats, augmentation -1\n", |
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| 3250 | "Batch 50 device: cuda time passed: 7.627 time per batch: 0.153\n", |
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| 3256 | "ver 34, iter 25, fold 3, val ll: 0.0630, cor: 0.8394, auc: 0.9886\n", |
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| 3257 | "setFeats, augmentation -1\n", |
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| 3258 | "Batch 50 device: cuda time passed: 8.255 time per batch: 0.165\n", |
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| 3259 | "Batch 100 device: cuda time passed: 14.365 time per batch: 0.144\n", |
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| 3260 | "ver 34, iter 26, fold 3, val ll: 0.0629, cor: 0.8395, auc: 0.9887\n", |
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| 3261 | "setFeats, augmentation -1\n", |
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| 3262 | "Batch 50 device: cuda time passed: 8.287 time per batch: 0.166\n", |
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| 3263 | "Batch 100 device: cuda time passed: 14.326 time per batch: 0.143\n", |
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| 3264 | "ver 34, iter 27, fold 3, val ll: 0.0631, cor: 0.8390, auc: 0.9886\n", |
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| 3265 | "setFeats, augmentation -1\n", |
||
| 3266 | "Batch 50 device: cuda time passed: 8.750 time per batch: 0.175\n", |
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| 3267 | "Batch 100 device: cuda time passed: 14.716 time per batch: 0.147\n", |
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| 3268 | "ver 34, iter 28, fold 3, val ll: 0.0630, cor: 0.8395, auc: 0.9886\n", |
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| 3269 | "setFeats, augmentation -1\n", |
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| 3270 | "Batch 50 device: cuda time passed: 7.832 time per batch: 0.157\n", |
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| 3271 | "Batch 100 device: cuda time passed: 14.454 time per batch: 0.145\n", |
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| 3272 | "ver 34, iter 29, fold 3, val ll: 0.0629, cor: 0.8397, auc: 0.9887\n", |
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| 3273 | "setFeats, augmentation -1\n", |
||
| 3274 | "Batch 50 device: cuda time passed: 8.247 time per batch: 0.165\n", |
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| 3275 | "Batch 100 device: cuda time passed: 14.407 time per batch: 0.144\n", |
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| 3276 | "ver 34, iter 30, fold 3, val ll: 0.0630, cor: 0.8393, auc: 0.9886\n", |
||
| 3277 | "setFeats, augmentation -1\n", |
||
| 3278 | "Batch 50 device: cuda time passed: 8.728 time per batch: 0.175\n", |
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| 3279 | "Batch 100 device: cuda time passed: 14.980 time per batch: 0.150\n", |
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| 3280 | "ver 34, iter 31, fold 3, val ll: 0.0634, cor: 0.8388, auc: 0.9884\n", |
||
| 3281 | "total running time 748.6304786205292\n", |
||
| 3282 | "total time 20124.740348815918\n", |
||
| 3283 | "completed epochs: 3 iters starting now: 32\n", |
||
| 3284 | "adding dummy serieses 16\n", |
||
| 3285 | "DataSet 13 valid size 4384 fold 4\n", |
||
| 3286 | "dataset valid: 4384 loader valid: 137\n", |
||
| 3287 | "loading model model.b3.f4.d13.v34\n", |
||
| 3288 | "setFeats, augmentation -1\n", |
||
| 3289 | "Batch 50 device: cuda time passed: 7.680 time per batch: 0.154\n", |
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| 3290 | "Batch 100 device: cuda time passed: 14.974 time per batch: 0.150\n", |
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| 3291 | "ver 34, iter 0, fold 4, val ll: 0.0616, cor: 0.8422, auc: 0.9882\n", |
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| 3292 | "setFeats, augmentation -1\n", |
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| 3293 | "Batch 50 device: cuda time passed: 8.849 time per batch: 0.177\n", |
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| 3294 | "Batch 100 device: cuda time passed: 15.070 time per batch: 0.151\n", |
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| 3295 | "ver 34, iter 1, fold 4, val ll: 0.0618, cor: 0.8420, auc: 0.9881\n", |
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| 3296 | "setFeats, augmentation -1\n", |
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| 3297 | "Batch 50 device: cuda time passed: 7.719 time per batch: 0.154\n", |
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| 3298 | "Batch 100 device: cuda time passed: 14.696 time per batch: 0.147\n", |
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| 3299 | "ver 34, iter 2, fold 4, val ll: 0.0618, cor: 0.8423, auc: 0.9880\n", |
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| 3300 | "setFeats, augmentation -1\n", |
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| 3301 | "Batch 50 device: cuda time passed: 8.469 time per batch: 0.169\n", |
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| 3302 | "Batch 100 device: cuda time passed: 14.909 time per batch: 0.149\n", |
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| 3303 | "ver 34, iter 3, fold 4, val ll: 0.0618, cor: 0.8418, auc: 0.9881\n", |
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| 3304 | "setFeats, augmentation -1\n", |
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| 3305 | "Batch 50 device: cuda time passed: 7.626 time per batch: 0.153\n", |
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| 3306 | "Batch 100 device: cuda time passed: 14.660 time per batch: 0.147\n", |
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| 3307 | "ver 34, iter 4, fold 4, val ll: 0.0618, cor: 0.8419, auc: 0.9881\n", |
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| 3308 | "setFeats, augmentation -1\n", |
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| 3309 | "Batch 50 device: cuda time passed: 8.404 time per batch: 0.168\n", |
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| 3310 | "Batch 100 device: cuda time passed: 14.750 time per batch: 0.147\n", |
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| 3311 | "ver 34, iter 5, fold 4, val ll: 0.0619, cor: 0.8417, auc: 0.9880\n", |
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| 3312 | "setFeats, augmentation -1\n", |
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| 3313 | "Batch 50 device: cuda time passed: 8.219 time per batch: 0.164\n", |
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| 3314 | "Batch 100 device: cuda time passed: 14.164 time per batch: 0.142\n", |
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| 3315 | "ver 34, iter 6, fold 4, val ll: 0.0616, cor: 0.8422, auc: 0.9881\n", |
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| 3316 | "setFeats, augmentation -1\n", |
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| 3317 | "Batch 50 device: cuda time passed: 8.061 time per batch: 0.161\n", |
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| 3318 | "Batch 100 device: cuda time passed: 14.689 time per batch: 0.147\n", |
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| 3319 | "ver 34, iter 7, fold 4, val ll: 0.0617, cor: 0.8423, auc: 0.9881\n", |
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| 3320 | "setFeats, augmentation -1\n", |
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| 3321 | "Batch 50 device: cuda time passed: 7.938 time per batch: 0.159\n", |
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| 3322 | "Batch 100 device: cuda time passed: 14.192 time per batch: 0.142\n", |
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| 3323 | "ver 34, iter 8, fold 4, val ll: 0.0617, cor: 0.8421, auc: 0.9881\n", |
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| 3324 | "setFeats, augmentation -1\n", |
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| 3325 | "Batch 50 device: cuda time passed: 8.663 time per batch: 0.173\n" |
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| 3326 | ] |
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| 3327 | }, |
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| 3328 | { |
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| 3329 | "name": "stdout", |
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| 3330 | "output_type": "stream", |
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| 3331 | "text": [ |
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| 3332 | "Batch 100 device: cuda time passed: 14.850 time per batch: 0.149\n", |
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| 3333 | "ver 34, iter 9, fold 4, val ll: 0.0618, cor: 0.8418, auc: 0.9881\n", |
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| 3334 | "setFeats, augmentation -1\n", |
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| 3335 | "Batch 50 device: cuda time passed: 8.651 time per batch: 0.173\n", |
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| 3336 | "Batch 100 device: cuda time passed: 14.415 time per batch: 0.144\n", |
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| 3337 | "ver 34, iter 10, fold 4, val ll: 0.0617, cor: 0.8423, auc: 0.9881\n", |
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| 3338 | "setFeats, augmentation -1\n", |
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| 3339 | "Batch 50 device: cuda time passed: 7.635 time per batch: 0.153\n", |
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| 3340 | "Batch 100 device: cuda time passed: 15.063 time per batch: 0.151\n", |
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| 3341 | "ver 34, iter 11, fold 4, val ll: 0.0617, cor: 0.8423, auc: 0.9880\n", |
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| 3342 | "setFeats, augmentation -1\n", |
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| 3343 | "Batch 50 device: cuda time passed: 8.388 time per batch: 0.168\n", |
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| 3344 | "Batch 100 device: cuda time passed: 14.779 time per batch: 0.148\n", |
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| 3345 | "ver 34, iter 12, fold 4, val ll: 0.0618, cor: 0.8418, auc: 0.9881\n", |
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| 3346 | "setFeats, augmentation -1\n", |
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| 3347 | "Batch 50 device: cuda time passed: 7.871 time per batch: 0.157\n", |
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| 3348 | "Batch 100 device: cuda time passed: 14.803 time per batch: 0.148\n", |
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| 3349 | "ver 34, iter 13, fold 4, val ll: 0.0617, cor: 0.8418, auc: 0.9882\n", |
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| 3350 | "setFeats, augmentation -1\n", |
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| 3351 | "Batch 50 device: cuda time passed: 8.072 time per batch: 0.161\n", |
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| 3352 | "Batch 100 device: cuda time passed: 14.433 time per batch: 0.144\n", |
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| 3353 | "ver 34, iter 14, fold 4, val ll: 0.0618, cor: 0.8419, auc: 0.9882\n", |
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| 3354 | "setFeats, augmentation -1\n", |
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| 3355 | "Batch 50 device: cuda time passed: 8.584 time per batch: 0.172\n", |
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| 3356 | "Batch 100 device: cuda time passed: 15.084 time per batch: 0.151\n", |
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| 3357 | "ver 34, iter 15, fold 4, val ll: 0.0618, cor: 0.8421, auc: 0.9882\n", |
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| 3358 | "setFeats, augmentation -1\n", |
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| 3359 | "Batch 50 device: cuda time passed: 7.715 time per batch: 0.154\n", |
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| 3360 | "Batch 100 device: cuda time passed: 15.169 time per batch: 0.152\n", |
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| 3361 | "ver 34, iter 16, fold 4, val ll: 0.0618, cor: 0.8420, auc: 0.9880\n", |
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| 3362 | "setFeats, augmentation -1\n", |
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| 3363 | "Batch 50 device: cuda time passed: 7.982 time per batch: 0.160\n", |
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| 3364 | "Batch 100 device: cuda time passed: 15.258 time per batch: 0.153\n", |
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| 3365 | "ver 34, iter 17, fold 4, val ll: 0.0614, cor: 0.8429, auc: 0.9882\n", |
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| 3366 | "setFeats, augmentation -1\n", |
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| 3367 | "Batch 50 device: cuda time passed: 7.944 time per batch: 0.159\n", |
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| 3368 | "Batch 100 device: cuda time passed: 14.644 time per batch: 0.146\n", |
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| 3369 | "ver 34, iter 18, fold 4, val ll: 0.0620, cor: 0.8415, auc: 0.9879\n", |
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| 3370 | "setFeats, augmentation -1\n", |
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| 3371 | "Batch 50 device: cuda time passed: 7.880 time per batch: 0.158\n", |
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| 3372 | "Batch 100 device: cuda time passed: 14.599 time per batch: 0.146\n", |
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| 3373 | "ver 34, iter 19, fold 4, val ll: 0.0618, cor: 0.8419, auc: 0.9881\n", |
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| 3374 | "setFeats, augmentation -1\n", |
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| 3375 | "Batch 50 device: cuda time passed: 8.238 time per batch: 0.165\n", |
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| 3376 | "Batch 100 device: cuda time passed: 14.637 time per batch: 0.146\n", |
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| 3377 | "ver 34, iter 20, fold 4, val ll: 0.0617, cor: 0.8419, auc: 0.9881\n", |
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| 3378 | "setFeats, augmentation -1\n", |
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| 3379 | "Batch 50 device: cuda time passed: 8.506 time per batch: 0.170\n", |
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| 3380 | "Batch 100 device: cuda time passed: 14.624 time per batch: 0.146\n", |
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| 3381 | "ver 34, iter 21, fold 4, val ll: 0.0617, cor: 0.8422, auc: 0.9881\n", |
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| 3382 | "setFeats, augmentation -1\n", |
||
| 3383 | "Batch 50 device: cuda time passed: 7.764 time per batch: 0.155\n", |
||
| 3384 | "Batch 100 device: cuda time passed: 14.605 time per batch: 0.146\n", |
||
| 3385 | "ver 34, iter 22, fold 4, val ll: 0.0617, cor: 0.8422, auc: 0.9882\n", |
||
| 3386 | "setFeats, augmentation -1\n", |
||
| 3387 | "Batch 50 device: cuda time passed: 7.726 time per batch: 0.155\n", |
||
| 3388 | "Batch 100 device: cuda time passed: 14.446 time per batch: 0.144\n", |
||
| 3389 | "ver 34, iter 23, fold 4, val ll: 0.0617, cor: 0.8422, auc: 0.9881\n", |
||
| 3390 | "setFeats, augmentation -1\n", |
||
| 3391 | "Batch 50 device: cuda time passed: 8.077 time per batch: 0.162\n", |
||
| 3392 | "Batch 100 device: cuda time passed: 14.366 time per batch: 0.144\n", |
||
| 3393 | "ver 34, iter 24, fold 4, val ll: 0.0621, cor: 0.8415, auc: 0.9879\n", |
||
| 3394 | "setFeats, augmentation -1\n", |
||
| 3395 | "Batch 50 device: cuda time passed: 7.973 time per batch: 0.159\n", |
||
| 3396 | "Batch 100 device: cuda time passed: 14.194 time per batch: 0.142\n", |
||
| 3397 | "ver 34, iter 25, fold 4, val ll: 0.0617, cor: 0.8420, auc: 0.9883\n", |
||
| 3398 | "setFeats, augmentation -1\n", |
||
| 3399 | "Batch 50 device: cuda time passed: 7.393 time per batch: 0.148\n", |
||
| 3400 | "Batch 100 device: cuda time passed: 15.218 time per batch: 0.152\n", |
||
| 3401 | "ver 34, iter 26, fold 4, val ll: 0.0615, cor: 0.8427, auc: 0.9883\n", |
||
| 3402 | "setFeats, augmentation -1\n", |
||
| 3403 | "Batch 50 device: cuda time passed: 8.723 time per batch: 0.174\n", |
||
| 3404 | "Batch 100 device: cuda time passed: 15.348 time per batch: 0.153\n", |
||
| 3405 | "ver 34, iter 27, fold 4, val ll: 0.0617, cor: 0.8418, auc: 0.9883\n", |
||
| 3406 | "setFeats, augmentation -1\n", |
||
| 3407 | "Batch 50 device: cuda time passed: 7.751 time per batch: 0.155\n", |
||
| 3408 | "Batch 100 device: cuda time passed: 14.291 time per batch: 0.143\n", |
||
| 3409 | "ver 34, iter 28, fold 4, val ll: 0.0619, cor: 0.8419, auc: 0.9880\n", |
||
| 3410 | "setFeats, augmentation -1\n", |
||
| 3411 | "Batch 50 device: cuda time passed: 8.019 time per batch: 0.160\n", |
||
| 3412 | "Batch 100 device: cuda time passed: 15.011 time per batch: 0.150\n", |
||
| 3413 | "ver 34, iter 29, fold 4, val ll: 0.0620, cor: 0.8414, auc: 0.9879\n", |
||
| 3414 | "setFeats, augmentation -1\n", |
||
| 3415 | "Batch 50 device: cuda time passed: 8.106 time per batch: 0.162\n", |
||
| 3416 | "Batch 100 device: cuda time passed: 15.439 time per batch: 0.154\n", |
||
| 3417 | "ver 34, iter 30, fold 4, val ll: 0.0618, cor: 0.8419, auc: 0.9880\n", |
||
| 3418 | "setFeats, augmentation -1\n", |
||
| 3419 | "Batch 50 device: cuda time passed: 8.527 time per batch: 0.171\n", |
||
| 3420 | "Batch 100 device: cuda time passed: 15.187 time per batch: 0.152\n", |
||
| 3421 | "ver 34, iter 31, fold 4, val ll: 0.0619, cor: 0.8414, auc: 0.9881\n", |
||
| 3422 | "total running time 749.8348104953766\n", |
||
| 3423 | "total time 20874.81984090805\n" |
||
| 3424 | ] |
||
| 3425 | } |
||
| 3426 | ], |
||
| 3427 | "source": [ |
||
| 3428 | "stg = time.time()\n", |
||
| 3429 | "for ds in (my_datasets3 + my_datasets5):\n", |
||
| 3430 | " folds = getNFolds(ds)\n", |
||
| 3431 | " for fold in range(folds):\n", |
||
| 3432 | " #pp = pickle.load(open(PATH_DISK/'ensemble/oof_d{}_f{}_v{}'.format(ds, fold, VERSION),'rb'))\n", |
||
| 3433 | " predictions = oof_one(num_iter=32, bs=32, fold=fold, dataset=ds)\n", |
||
| 3434 | " #predictions = np.concatenate([pp,predictions],axis=0)\n", |
||
| 3435 | " pickle.dump(predictions, open(PATH_DISK/'ensemble/oof_d{}_f{}_v{}'.format(ds, fold, VERSION),'wb'))\n", |
||
| 3436 | " print('total time', time.time() - stg)" |
||
| 3437 | ] |
||
| 3438 | }, |
||
| 3439 | { |
||
| 3440 | "cell_type": "code", |
||
| 3441 | "execution_count": null, |
||
| 3442 | "metadata": {}, |
||
| 3443 | "outputs": [], |
||
| 3444 | "source": [ |
||
| 3445 | "#range(6,13) x8\n", |
||
| 3446 | "#5113.189187049866\n", |
||
| 3447 | "#20878.715314388275" |
||
| 3448 | ] |
||
| 3449 | }, |
||
| 3450 | { |
||
| 3451 | "cell_type": "code", |
||
| 3452 | "execution_count": 12, |
||
| 3453 | "metadata": {}, |
||
| 3454 | "outputs": [ |
||
| 3455 | { |
||
| 3456 | "data": { |
||
| 3457 | "text/plain": [ |
||
| 3458 | "4.231111111111111" |
||
| 3459 | ] |
||
| 3460 | }, |
||
| 3461 | "execution_count": 12, |
||
| 3462 | "metadata": {}, |
||
| 3463 | "output_type": "execute_result" |
||
| 3464 | } |
||
| 3465 | ], |
||
| 3466 | "source": [ |
||
| 3467 | "#total running time 1201.68962931633\n", |
||
| 3468 | "#total time 15020.348212480545" |
||
| 3469 | ] |
||
| 3470 | }, |
||
| 3471 | { |
||
| 3472 | "cell_type": "code", |
||
| 3473 | "execution_count": null, |
||
| 3474 | "metadata": {}, |
||
| 3475 | "outputs": [], |
||
| 3476 | "source": [] |
||
| 3477 | }, |
||
| 3478 | { |
||
| 3479 | "cell_type": "code", |
||
| 3480 | "execution_count": 5, |
||
| 3481 | "metadata": {}, |
||
| 3482 | "outputs": [], |
||
| 3483 | "source": [ |
||
| 3484 | "preds_all = getPredsOOF(aug=32,datasets=my_datasets3,datasets5=my_datasets5,ver=33)" |
||
| 3485 | ] |
||
| 3486 | }, |
||
| 3487 | { |
||
| 3488 | "cell_type": "code", |
||
| 3489 | "execution_count": 6, |
||
| 3490 | "metadata": {}, |
||
| 3491 | "outputs": [], |
||
| 3492 | "source": [ |
||
| 3493 | "preds_all = getPredsOOF(aug=32,datasets=my_datasets3,datasets5=my_datasets5,ver=34)" |
||
| 3494 | ] |
||
| 3495 | }, |
||
| 3496 | { |
||
| 3497 | "cell_type": "code", |
||
| 3498 | "execution_count": 6, |
||
| 3499 | "metadata": {}, |
||
| 3500 | "outputs": [ |
||
| 3501 | { |
||
| 3502 | "data": { |
||
| 3503 | "text/plain": [ |
||
| 3504 | "(5, 32, 752797, 6)" |
||
| 3505 | ] |
||
| 3506 | }, |
||
| 3507 | "execution_count": 6, |
||
| 3508 | "metadata": {}, |
||
| 3509 | "output_type": "execute_result" |
||
| 3510 | } |
||
| 3511 | ], |
||
| 3512 | "source": [ |
||
| 3513 | "preds_all.shape" |
||
| 3514 | ] |
||
| 3515 | }, |
||
| 3516 | { |
||
| 3517 | "cell_type": "code", |
||
| 3518 | "execution_count": 7, |
||
| 3519 | "metadata": {}, |
||
| 3520 | "outputs": [], |
||
| 3521 | "source": [ |
||
| 3522 | "#preds_all2 = getPredsOOF(aug=32,datasets=[],datasets5=[14],ver=35)" |
||
| 3523 | ] |
||
| 3524 | }, |
||
| 3525 | { |
||
| 3526 | "cell_type": "code", |
||
| 3527 | "execution_count": 8, |
||
| 3528 | "metadata": { |
||
| 3529 | "scrolled": true |
||
| 3530 | }, |
||
| 3531 | "outputs": [], |
||
| 3532 | "source": [ |
||
| 3533 | "#preds_all2.shape" |
||
| 3534 | ] |
||
| 3535 | }, |
||
| 3536 | { |
||
| 3537 | "cell_type": "code", |
||
| 3538 | "execution_count": 9, |
||
| 3539 | "metadata": {}, |
||
| 3540 | "outputs": [], |
||
| 3541 | "source": [ |
||
| 3542 | "#preds_all = np.concatenate([preds_all, preds_all2], axis=0)" |
||
| 3543 | ] |
||
| 3544 | }, |
||
| 3545 | { |
||
| 3546 | "cell_type": "code", |
||
| 3547 | "execution_count": 7, |
||
| 3548 | "metadata": { |
||
| 3549 | "scrolled": true |
||
| 3550 | }, |
||
| 3551 | "outputs": [ |
||
| 3552 | { |
||
| 3553 | "data": { |
||
| 3554 | "text/plain": [ |
||
| 3555 | "array([0.14302406, 0.00424933, 0.04813841, 0.03484004, 0.04746119,\n", |
||
| 3556 | " 0.06259691])" |
||
| 3557 | ] |
||
| 3558 | }, |
||
| 3559 | "execution_count": 7, |
||
| 3560 | "metadata": {}, |
||
| 3561 | "output_type": "execute_result" |
||
| 3562 | } |
||
| 3563 | ], |
||
| 3564 | "source": [ |
||
| 3565 | "# weighted \n", |
||
| 3566 | "# [0.15059251, 0.00462303, 0.05034504, 0.03602126, 0.04910235, 0.06661193]\n", |
||
| 3567 | "\n", |
||
| 3568 | "# non-weighted\n", |
||
| 3569 | "# [0.14268919, 0.00409448, 0.04815497, 0.03553187, 0.04749233, 0.06196157]\n", |
||
| 3570 | "\n", |
||
| 3571 | "# non-weighted stage2\n", |
||
| 3572 | "# [0.14302406, 0.00424933, 0.04813841, 0.03484004, 0.04746119, 0.06259691]\n", |
||
| 3573 | "\n", |
||
| 3574 | "# weighted stage2\n", |
||
| 3575 | "# [0.14172827, 0.00397889, 0.04794982, 0.0350942 , 0.04717257, 0.06180147]\n", |
||
| 3576 | "\n", |
||
| 3577 | "preds_all.mean((0,1,2))" |
||
| 3578 | ] |
||
| 3579 | }, |
||
| 3580 | { |
||
| 3581 | "cell_type": "code", |
||
| 3582 | "execution_count": 8, |
||
| 3583 | "metadata": {}, |
||
| 3584 | "outputs": [], |
||
| 3585 | "source": [ |
||
| 3586 | "names_y = [\n", |
||
| 3587 | " #'model_Densenet201_3_version_classifier_splits_fullhead_resmodel_pool2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3588 | " #'model_Densenet161_3_version_classifier_splits_fullhead_resmodel_pool2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3589 | " 'model_Densenet169_3_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3590 | " 'model_se_resnext101_32x4d_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3591 | " 'model_se_resnet101_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl'\n", |
||
| 3592 | "]" |
||
| 3593 | ] |
||
| 3594 | }, |
||
| 3595 | { |
||
| 3596 | "cell_type": "code", |
||
| 3597 | "execution_count": 9, |
||
| 3598 | "metadata": {}, |
||
| 3599 | "outputs": [], |
||
| 3600 | "source": [ |
||
| 3601 | "names_y5 = [\n", |
||
| 3602 | " 'model_se_resnext101_32x4d_version_new_splits_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3603 | " 'model_se_resnet101_version_new_splits_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3604 | " 'model_se_resnet101_version_new_splits_focal_fullhead_resmodel_pool2_stage2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 3605 | "]" |
||
| 3606 | ] |
||
| 3607 | }, |
||
| 3608 | { |
||
| 3609 | "cell_type": "code", |
||
| 3610 | "execution_count": 10, |
||
| 3611 | "metadata": { |
||
| 3612 | "scrolled": false |
||
| 3613 | }, |
||
| 3614 | "outputs": [ |
||
| 3615 | { |
||
| 3616 | "name": "stdout", |
||
| 3617 | "output_type": "stream", |
||
| 3618 | "text": [ |
||
| 3619 | "adding yuval_idx\n", |
||
| 3620 | "adding yuval_idx\n" |
||
| 3621 | ] |
||
| 3622 | } |
||
| 3623 | ], |
||
| 3624 | "source": [ |
||
| 3625 | "preds_y = getYuvalOOF(train_md=train_md, names=names_y, names5=names_y5)" |
||
| 3626 | ] |
||
| 3627 | }, |
||
| 3628 | { |
||
| 3629 | "cell_type": "code", |
||
| 3630 | "execution_count": null, |
||
| 3631 | "metadata": {}, |
||
| 3632 | "outputs": [], |
||
| 3633 | "source": [] |
||
| 3634 | }, |
||
| 3635 | { |
||
| 3636 | "cell_type": "code", |
||
| 3637 | "execution_count": 11, |
||
| 3638 | "metadata": { |
||
| 3639 | "scrolled": true |
||
| 3640 | }, |
||
| 3641 | "outputs": [ |
||
| 3642 | { |
||
| 3643 | "data": { |
||
| 3644 | "text/plain": [ |
||
| 3645 | "array([0.14321291, 0.00391866, 0.04807696, 0.03472973, 0.04762993,\n", |
||
| 3646 | " 0.06291145])" |
||
| 3647 | ] |
||
| 3648 | }, |
||
| 3649 | "execution_count": 11, |
||
| 3650 | "metadata": {}, |
||
| 3651 | "output_type": "execute_result" |
||
| 3652 | } |
||
| 3653 | ], |
||
| 3654 | "source": [ |
||
| 3655 | "preds_y.mean((0,1))" |
||
| 3656 | ] |
||
| 3657 | }, |
||
| 3658 | { |
||
| 3659 | "cell_type": "code", |
||
| 3660 | "execution_count": 12, |
||
| 3661 | "metadata": {}, |
||
| 3662 | "outputs": [ |
||
| 3663 | { |
||
| 3664 | "data": { |
||
| 3665 | "text/plain": [ |
||
| 3666 | "(6, 752797, 6)" |
||
| 3667 | ] |
||
| 3668 | }, |
||
| 3669 | "execution_count": 12, |
||
| 3670 | "metadata": {}, |
||
| 3671 | "output_type": "execute_result" |
||
| 3672 | } |
||
| 3673 | ], |
||
| 3674 | "source": [ |
||
| 3675 | "preds_y.shape" |
||
| 3676 | ] |
||
| 3677 | }, |
||
| 3678 | { |
||
| 3679 | "cell_type": "code", |
||
| 3680 | "execution_count": 13, |
||
| 3681 | "metadata": {}, |
||
| 3682 | "outputs": [], |
||
| 3683 | "source": [ |
||
| 3684 | "preds_all = np.concatenate([preds_all.mean(1), preds_y], axis=0)" |
||
| 3685 | ] |
||
| 3686 | }, |
||
| 3687 | { |
||
| 3688 | "cell_type": "code", |
||
| 3689 | "execution_count": 14, |
||
| 3690 | "metadata": {}, |
||
| 3691 | "outputs": [], |
||
| 3692 | "source": [ |
||
| 3693 | "del preds_y" |
||
| 3694 | ] |
||
| 3695 | }, |
||
| 3696 | { |
||
| 3697 | "cell_type": "code", |
||
| 3698 | "execution_count": 15, |
||
| 3699 | "metadata": {}, |
||
| 3700 | "outputs": [ |
||
| 3701 | { |
||
| 3702 | "data": { |
||
| 3703 | "text/plain": [ |
||
| 3704 | "(11, 752797, 6)" |
||
| 3705 | ] |
||
| 3706 | }, |
||
| 3707 | "execution_count": 15, |
||
| 3708 | "metadata": {}, |
||
| 3709 | "output_type": "execute_result" |
||
| 3710 | } |
||
| 3711 | ], |
||
| 3712 | "source": [ |
||
| 3713 | "preds_all.shape" |
||
| 3714 | ] |
||
| 3715 | }, |
||
| 3716 | { |
||
| 3717 | "cell_type": "markdown", |
||
| 3718 | "metadata": {}, |
||
| 3719 | "source": [ |
||
| 3720 | "## Elimination" |
||
| 3721 | ] |
||
| 3722 | }, |
||
| 3723 | { |
||
| 3724 | "cell_type": "code", |
||
| 3725 | "execution_count": 16, |
||
| 3726 | "metadata": {}, |
||
| 3727 | "outputs": [], |
||
| 3728 | "source": [ |
||
| 3729 | "def getMaskedLoss(preds_all, mask, weighted):\n", |
||
| 3730 | " \n", |
||
| 3731 | " loss = ((- train_md[all_ich].values * np.log(preds_all[mask].mean(0)) \\\n", |
||
| 3732 | " - (1 - train_md[all_ich].values) * np.log(1 - preds_all[mask].mean(0)))*class_weights)\n", |
||
| 3733 | " \n", |
||
| 3734 | " if weighted:\n", |
||
| 3735 | " loss = (loss * np.expand_dims(train_md['weights'].values,axis=1)).mean()\n", |
||
| 3736 | " else:\n", |
||
| 3737 | " loss = loss.mean()\n", |
||
| 3738 | " return loss\n", |
||
| 3739 | "\n", |
||
| 3740 | "def produceDSMask(weighted):\n", |
||
| 3741 | " \n", |
||
| 3742 | " N = len(preds_all)\n", |
||
| 3743 | " ds_mask = np.ones(N, dtype=bool)\n", |
||
| 3744 | " best_loss = getMaskedLoss(preds_all, ds_mask, weighted)\n", |
||
| 3745 | "\n", |
||
| 3746 | " for i in range(N):\n", |
||
| 3747 | " worst_k = -1\n", |
||
| 3748 | " worst_loss = best_loss\n", |
||
| 3749 | " print('starting iter',i,'loss',best_loss,'eliminated',(~ds_mask).sum())\n", |
||
| 3750 | " for k in range(N):\n", |
||
| 3751 | " mask2 = ds_mask.copy()\n", |
||
| 3752 | " mask2[k] = False\n", |
||
| 3753 | " loss = getMaskedLoss(preds_all, mask2, weighted)\n", |
||
| 3754 | " if loss < worst_loss:\n", |
||
| 3755 | " worst_loss = loss\n", |
||
| 3756 | " worst_k = k\n", |
||
| 3757 | " if worst_k >= 0:\n", |
||
| 3758 | " print('eliminating',worst_k,'new loss',worst_loss)\n", |
||
| 3759 | " ds_mask[worst_k] = False\n", |
||
| 3760 | " best_loss = worst_loss\n", |
||
| 3761 | " else:\n", |
||
| 3762 | " break\n", |
||
| 3763 | " \n", |
||
| 3764 | " print('removed', np.where(~ds_mask)[0])\n", |
||
| 3765 | " \n", |
||
| 3766 | " return ds_mask" |
||
| 3767 | ] |
||
| 3768 | }, |
||
| 3769 | { |
||
| 3770 | "cell_type": "code", |
||
| 3771 | "execution_count": 17, |
||
| 3772 | "metadata": {}, |
||
| 3773 | "outputs": [ |
||
| 3774 | { |
||
| 3775 | "name": "stdout", |
||
| 3776 | "output_type": "stream", |
||
| 3777 | "text": [ |
||
| 3778 | "starting iter 0 loss 0.057515051687738426 eliminated 0\n", |
||
| 3779 | "eliminating 1 new loss 0.057490836031309125\n", |
||
| 3780 | "starting iter 1 loss 0.057490836031309125 eliminated 1\n", |
||
| 3781 | "removed [1]\n", |
||
| 3782 | "\n", |
||
| 3783 | "starting iter 0 loss 0.05434281856430104 eliminated 0\n", |
||
| 3784 | "eliminating 1 new loss 0.05431221808734583\n", |
||
| 3785 | "starting iter 1 loss 0.05431221808734583 eliminated 1\n", |
||
| 3786 | "eliminating 4 new loss 0.054308387316921135\n", |
||
| 3787 | "starting iter 2 loss 0.054308387316921135 eliminated 2\n", |
||
| 3788 | "eliminating 5 new loss 0.054305186238067175\n", |
||
| 3789 | "starting iter 3 loss 0.054305186238067175 eliminated 3\n", |
||
| 3790 | "removed [1 4 5]\n" |
||
| 3791 | ] |
||
| 3792 | } |
||
| 3793 | ], |
||
| 3794 | "source": [ |
||
| 3795 | "ds_mask1 = produceDSMask(False)\n", |
||
| 3796 | "print('')\n", |
||
| 3797 | "ds_mask2 = produceDSMask(True)" |
||
| 3798 | ] |
||
| 3799 | }, |
||
| 3800 | { |
||
| 3801 | "cell_type": "code", |
||
| 3802 | "execution_count": 18, |
||
| 3803 | "metadata": {}, |
||
| 3804 | "outputs": [], |
||
| 3805 | "source": [ |
||
| 3806 | "ds_mask = ds_mask1 | ds_mask2" |
||
| 3807 | ] |
||
| 3808 | }, |
||
| 3809 | { |
||
| 3810 | "cell_type": "code", |
||
| 3811 | "execution_count": 19, |
||
| 3812 | "metadata": { |
||
| 3813 | "scrolled": true |
||
| 3814 | }, |
||
| 3815 | "outputs": [ |
||
| 3816 | { |
||
| 3817 | "data": { |
||
| 3818 | "text/plain": [ |
||
| 3819 | "array([ True, False, True, True, True, True, True, True, True,\n", |
||
| 3820 | " True, True])" |
||
| 3821 | ] |
||
| 3822 | }, |
||
| 3823 | "execution_count": 19, |
||
| 3824 | "metadata": {}, |
||
| 3825 | "output_type": "execute_result" |
||
| 3826 | } |
||
| 3827 | ], |
||
| 3828 | "source": [ |
||
| 3829 | "ds_mask" |
||
| 3830 | ] |
||
| 3831 | }, |
||
| 3832 | { |
||
| 3833 | "cell_type": "code", |
||
| 3834 | "execution_count": 20, |
||
| 3835 | "metadata": {}, |
||
| 3836 | "outputs": [], |
||
| 3837 | "source": [ |
||
| 3838 | "preds_all = preds_all[ds_mask]\n", |
||
| 3839 | "my_len = ds_mask[:my_len].sum()" |
||
| 3840 | ] |
||
| 3841 | }, |
||
| 3842 | { |
||
| 3843 | "cell_type": "code", |
||
| 3844 | "execution_count": 21, |
||
| 3845 | "metadata": {}, |
||
| 3846 | "outputs": [ |
||
| 3847 | { |
||
| 3848 | "data": { |
||
| 3849 | "text/plain": [ |
||
| 3850 | "4" |
||
| 3851 | ] |
||
| 3852 | }, |
||
| 3853 | "execution_count": 21, |
||
| 3854 | "metadata": {}, |
||
| 3855 | "output_type": "execute_result" |
||
| 3856 | } |
||
| 3857 | ], |
||
| 3858 | "source": [ |
||
| 3859 | "my_len" |
||
| 3860 | ] |
||
| 3861 | }, |
||
| 3862 | { |
||
| 3863 | "cell_type": "markdown", |
||
| 3864 | "metadata": {}, |
||
| 3865 | "source": [ |
||
| 3866 | "## OOF analysis" |
||
| 3867 | ] |
||
| 3868 | }, |
||
| 3869 | { |
||
| 3870 | "cell_type": "code", |
||
| 3871 | "execution_count": 23, |
||
| 3872 | "metadata": {}, |
||
| 3873 | "outputs": [ |
||
| 3874 | { |
||
| 3875 | "name": "stdout", |
||
| 3876 | "output_type": "stream", |
||
| 3877 | "text": [ |
||
| 3878 | "any [0.099 0.096 0.096 0.096 0.1 0.099 0.098 0.097 0.097 0.097]\n", |
||
| 3879 | "epidural [0.017 0.015 0.016 0.016 0.016 0.015 0.015 0.015 0.015 0.015]\n", |
||
| 3880 | "intraparenchymal [0.043 0.041 0.042 0.042 0.043 0.041 0.042 0.041 0.041 0.041]\n", |
||
| 3881 | "intraventricular [0.026 0.025 0.025 0.025 0.026 0.025 0.025 0.025 0.025 0.025]\n", |
||
| 3882 | "subarachnoid [0.066 0.064 0.064 0.064 0.066 0.064 0.064 0.064 0.063 0.063]\n", |
||
| 3883 | "subdural [0.081 0.079 0.079 0.079 0.08 0.079 0.079 0.079 0.078 0.078]\n" |
||
| 3884 | ] |
||
| 3885 | } |
||
| 3886 | ], |
||
| 3887 | "source": [ |
||
| 3888 | "np.set_printoptions(precision=3)\n", |
||
| 3889 | "\n", |
||
| 3890 | "loss = (- train_md[all_ich].values * np.log(preds_all) \\\n", |
||
| 3891 | " - (1 - train_md[all_ich].values) * np.log(1 - preds_all)).mean(1)\n", |
||
| 3892 | "for k in range(6):\n", |
||
| 3893 | " print('{:20s} {}'.format(all_ich[k],loss[:,k]))" |
||
| 3894 | ] |
||
| 3895 | }, |
||
| 3896 | { |
||
| 3897 | "cell_type": "code", |
||
| 3898 | "execution_count": null, |
||
| 3899 | "metadata": {}, |
||
| 3900 | "outputs": [], |
||
| 3901 | "source": [] |
||
| 3902 | }, |
||
| 3903 | { |
||
| 3904 | "cell_type": "code", |
||
| 3905 | "execution_count": 24, |
||
| 3906 | "metadata": { |
||
| 3907 | "scrolled": true |
||
| 3908 | }, |
||
| 3909 | "outputs": [ |
||
| 3910 | { |
||
| 3911 | "name": "stdout", |
||
| 3912 | "output_type": "stream", |
||
| 3913 | "text": [ |
||
| 3914 | "[[0.142 0.143 0.143 0.143 0.143 0.145 0.144 0.142 0.142 0.143]\n", |
||
| 3915 | " [0.004 0.005 0.004 0.004 0.003 0.004 0.004 0.004 0.004 0.004]\n", |
||
| 3916 | " [0.048 0.048 0.048 0.048 0.048 0.048 0.049 0.048 0.048 0.048]\n", |
||
| 3917 | " [0.035 0.035 0.035 0.035 0.035 0.034 0.035 0.035 0.035 0.035]\n", |
||
| 3918 | " [0.047 0.047 0.047 0.048 0.048 0.049 0.047 0.047 0.047 0.048]\n", |
||
| 3919 | " [0.062 0.062 0.063 0.063 0.063 0.065 0.064 0.062 0.062 0.063]]\n" |
||
| 3920 | ] |
||
| 3921 | } |
||
| 3922 | ], |
||
| 3923 | "source": [ |
||
| 3924 | "print(preds_all.mean(1).transpose())" |
||
| 3925 | ] |
||
| 3926 | }, |
||
| 3927 | { |
||
| 3928 | "cell_type": "code", |
||
| 3929 | "execution_count": 25, |
||
| 3930 | "metadata": {}, |
||
| 3931 | "outputs": [ |
||
| 3932 | { |
||
| 3933 | "data": { |
||
| 3934 | "text/plain": [ |
||
| 3935 | "[<matplotlib.lines.Line2D at 0x7f82b89bfc10>]" |
||
| 3936 | ] |
||
| 3937 | }, |
||
| 3938 | "execution_count": 25, |
||
| 3939 | "metadata": {}, |
||
| 3940 | "output_type": "execute_result" |
||
| 3941 | }, |
||
| 3942 | { |
||
| 3943 | "data": { |
||
| 3944 | "image/png": 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\n", |
||
| 3945 | "text/plain": [ |
||
| 3946 | "<Figure size 432x288 with 1 Axes>" |
||
| 3947 | ] |
||
| 3948 | }, |
||
| 3949 | "metadata": { |
||
| 3950 | "needs_background": "light" |
||
| 3951 | }, |
||
| 3952 | "output_type": "display_data" |
||
| 3953 | } |
||
| 3954 | ], |
||
| 3955 | "source": [ |
||
| 3956 | "zz = preds_all.mean(0)[:,0]\n", |
||
| 3957 | "\n", |
||
| 3958 | "train_md['prob'] = zz\n", |
||
| 3959 | "\n", |
||
| 3960 | "plt.plot(train_md[['prob','pos_idx']].groupby('pos_idx').mean())\n", |
||
| 3961 | "plt.plot([0,60],[0,0])" |
||
| 3962 | ] |
||
| 3963 | }, |
||
| 3964 | { |
||
| 3965 | "cell_type": "code", |
||
| 3966 | "execution_count": 26, |
||
| 3967 | "metadata": {}, |
||
| 3968 | "outputs": [ |
||
| 3969 | { |
||
| 3970 | "data": { |
||
| 3971 | "text/plain": [ |
||
| 3972 | "0.0934667744853716" |
||
| 3973 | ] |
||
| 3974 | }, |
||
| 3975 | "execution_count": 26, |
||
| 3976 | "metadata": {}, |
||
| 3977 | "output_type": "execute_result" |
||
| 3978 | } |
||
| 3979 | ], |
||
| 3980 | "source": [ |
||
| 3981 | "log_loss(train_md['any'],train_md['prob'])" |
||
| 3982 | ] |
||
| 3983 | }, |
||
| 3984 | { |
||
| 3985 | "cell_type": "code", |
||
| 3986 | "execution_count": 27, |
||
| 3987 | "metadata": {}, |
||
| 3988 | "outputs": [ |
||
| 3989 | { |
||
| 3990 | "data": { |
||
| 3991 | "text/plain": [ |
||
| 3992 | "(0, 5)" |
||
| 3993 | ] |
||
| 3994 | }, |
||
| 3995 | "execution_count": 27, |
||
| 3996 | "metadata": {}, |
||
| 3997 | "output_type": "execute_result" |
||
| 3998 | }, |
||
| 3999 | { |
||
| 4000 | "data": { |
||
| 4001 | "image/png": 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\n", |
||
| 4002 | "text/plain": [ |
||
| 4003 | "<Figure size 1152x504 with 1 Axes>" |
||
| 4004 | ] |
||
| 4005 | }, |
||
| 4006 | "metadata": { |
||
| 4007 | "needs_background": "light" |
||
| 4008 | }, |
||
| 4009 | "output_type": "display_data" |
||
| 4010 | } |
||
| 4011 | ], |
||
| 4012 | "source": [ |
||
| 4013 | "#zz = preds_all.mean(1)[0,:,0]\n", |
||
| 4014 | "k=0\n", |
||
| 4015 | "zz = preds_all.mean(0)[:,k]\n", |
||
| 4016 | "#zz = preds_all[0,0,:,k]\n", |
||
| 4017 | "#zz = scalePreds(zz,power=1.3)\n", |
||
| 4018 | "\n", |
||
| 4019 | "\n", |
||
| 4020 | "plt.figure(figsize=(16, 7))\n", |
||
| 4021 | "a = plt.hist(zz - train_md[all_ich[k]],bins=100,alpha=0.5,density=True)\n", |
||
| 4022 | "b = 0.5*(a[1][1:] + a[1][:-1])\n", |
||
| 4023 | "plt.plot(b,-7*np.log(1-abs(b))*a[0])\n", |
||
| 4024 | "plt.ylim([0,5])" |
||
| 4025 | ] |
||
| 4026 | }, |
||
| 4027 | { |
||
| 4028 | "cell_type": "code", |
||
| 4029 | "execution_count": 28, |
||
| 4030 | "metadata": {}, |
||
| 4031 | "outputs": [ |
||
| 4032 | { |
||
| 4033 | "name": "stdout", |
||
| 4034 | "output_type": "stream", |
||
| 4035 | "text": [ |
||
| 4036 | "0 [3.57e-05 6.13e-05 9.31e-05 1.79e-03 9.95e-01 9.98e-01 9.99e-01]\n", |
||
| 4037 | "1 [7.12e-06 9.84e-06 1.44e-05 9.54e-05 8.47e-02 4.76e-01 8.64e-01]\n", |
||
| 4038 | "2 [1.66e-05 2.25e-05 3.18e-05 3.06e-04 9.82e-01 9.94e-01 9.97e-01]\n", |
||
| 4039 | "3 [8.39e-06 1.13e-05 1.72e-05 1.02e-04 9.76e-01 9.92e-01 9.95e-01]\n", |
||
| 4040 | "4 [2.32e-05 3.56e-05 5.27e-05 4.59e-04 9.57e-01 9.92e-01 9.96e-01]\n", |
||
| 4041 | "5 [2.51e-05 4.16e-05 6.20e-05 9.25e-04 9.68e-01 9.93e-01 9.96e-01]\n" |
||
| 4042 | ] |
||
| 4043 | } |
||
| 4044 | ], |
||
| 4045 | "source": [ |
||
| 4046 | "np.set_printoptions(precision=2)\n", |
||
| 4047 | "zz = preds_all.mean(0)\n", |
||
| 4048 | "for k in range(6):\n", |
||
| 4049 | " print(k,np.quantile(zz[:,k],[0.0001,0.001,0.01,0.5,0.99,0.999,0.9999]))" |
||
| 4050 | ] |
||
| 4051 | }, |
||
| 4052 | { |
||
| 4053 | "cell_type": "markdown", |
||
| 4054 | "metadata": {}, |
||
| 4055 | "source": [ |
||
| 4056 | "## Bounding" |
||
| 4057 | ] |
||
| 4058 | }, |
||
| 4059 | { |
||
| 4060 | "cell_type": "code", |
||
| 4061 | "execution_count": 29, |
||
| 4062 | "metadata": { |
||
| 4063 | "scrolled": true |
||
| 4064 | }, |
||
| 4065 | "outputs": [ |
||
| 4066 | { |
||
| 4067 | "data": { |
||
| 4068 | "text/plain": [ |
||
| 4069 | "(10, 752797, 6)" |
||
| 4070 | ] |
||
| 4071 | }, |
||
| 4072 | "execution_count": 29, |
||
| 4073 | "metadata": {}, |
||
| 4074 | "output_type": "execute_result" |
||
| 4075 | } |
||
| 4076 | ], |
||
| 4077 | "source": [ |
||
| 4078 | "preds_all.shape" |
||
| 4079 | ] |
||
| 4080 | }, |
||
| 4081 | { |
||
| 4082 | "cell_type": "code", |
||
| 4083 | "execution_count": 30, |
||
| 4084 | "metadata": {}, |
||
| 4085 | "outputs": [ |
||
| 4086 | { |
||
| 4087 | "name": "stdout", |
||
| 4088 | "output_type": "stream", |
||
| 4089 | "text": [ |
||
| 4090 | "0.057490836031309125\n" |
||
| 4091 | ] |
||
| 4092 | } |
||
| 4093 | ], |
||
| 4094 | "source": [ |
||
| 4095 | "loss = ((- train_md[all_ich].values * np.log(preds_all.mean(0)) \\\n", |
||
| 4096 | " - (1 - train_md[all_ich].values) * np.log(1 - preds_all.mean(0)))*class_weights).mean()\n", |
||
| 4097 | "print(loss)" |
||
| 4098 | ] |
||
| 4099 | }, |
||
| 4100 | { |
||
| 4101 | "cell_type": "code", |
||
| 4102 | "execution_count": 31, |
||
| 4103 | "metadata": { |
||
| 4104 | "scrolled": true |
||
| 4105 | }, |
||
| 4106 | "outputs": [ |
||
| 4107 | { |
||
| 4108 | "name": "stdout", |
||
| 4109 | "output_type": "stream", |
||
| 4110 | "text": [ |
||
| 4111 | "initial score 0.057490836031309125\n", |
||
| 4112 | "any too low inconsistencies\n", |
||
| 4113 | "1 class: 0.004179878506423379\n", |
||
| 4114 | "2 class: 0.025429033325053103\n", |
||
| 4115 | "3 class: 0.012410782720972586\n", |
||
| 4116 | "4 class: 0.033147714456885455\n", |
||
| 4117 | "5 class: 0.09211925658577279\n", |
||
| 4118 | "total 0.14343999776832267\n", |
||
| 4119 | "any too low corrected score 0.05748886375218989\n", |
||
| 4120 | "any too high inconsistencies\n", |
||
| 4121 | "total 0.24964844440134593\n", |
||
| 4122 | "any too high corrected score 0.0574848864789516\n" |
||
| 4123 | ] |
||
| 4124 | } |
||
| 4125 | ], |
||
| 4126 | "source": [ |
||
| 4127 | "preds_all = predBounding(preds_all, target=train_md[all_ich].values)" |
||
| 4128 | ] |
||
| 4129 | }, |
||
| 4130 | { |
||
| 4131 | "cell_type": "code", |
||
| 4132 | "execution_count": 32, |
||
| 4133 | "metadata": { |
||
| 4134 | "scrolled": true |
||
| 4135 | }, |
||
| 4136 | "outputs": [ |
||
| 4137 | { |
||
| 4138 | "name": "stdout", |
||
| 4139 | "output_type": "stream", |
||
| 4140 | "text": [ |
||
| 4141 | "0.0574848864789516\n" |
||
| 4142 | ] |
||
| 4143 | } |
||
| 4144 | ], |
||
| 4145 | "source": [ |
||
| 4146 | "loss = ((- train_md[all_ich].values * np.log(preds_all.mean(0)) \\\n", |
||
| 4147 | " - (1 - train_md[all_ich].values) * np.log(1 - preds_all.mean(0)))*class_weights).mean()\n", |
||
| 4148 | "print(loss)" |
||
| 4149 | ] |
||
| 4150 | }, |
||
| 4151 | { |
||
| 4152 | "cell_type": "markdown", |
||
| 4153 | "metadata": {}, |
||
| 4154 | "source": [ |
||
| 4155 | "## Models behavior per groups" |
||
| 4156 | ] |
||
| 4157 | }, |
||
| 4158 | { |
||
| 4159 | "cell_type": "code", |
||
| 4160 | "execution_count": 33, |
||
| 4161 | "metadata": { |
||
| 4162 | "scrolled": true |
||
| 4163 | }, |
||
| 4164 | "outputs": [ |
||
| 4165 | { |
||
| 4166 | "name": "stdout", |
||
| 4167 | "output_type": "stream", |
||
| 4168 | "text": [ |
||
| 4169 | " 0: 452096 84109 [0.0744 0.0723 0.0724 0.0725 0.0742 0.0729 0.073 0.072 0.0718 0.0718]\n", |
||
| 4170 | " 1: 300701 37123 [0.0418 0.0406 0.0404 0.0408 0.0425 0.0415 0.0417 0.041 0.0405 0.0406]\n" |
||
| 4171 | ] |
||
| 4172 | } |
||
| 4173 | ], |
||
| 4174 | "source": [ |
||
| 4175 | "np.set_printoptions(precision=4)\n", |
||
| 4176 | "for col in ['PxlMin_zero']:\n", |
||
| 4177 | " for i in train_md[col].unique():\n", |
||
| 4178 | " res = ((- train_md[all_ich].values * np.log(preds_all) - (1 - train_md[all_ich].values) \\\n", |
||
| 4179 | " * np.log(1 - preds_all)) * class_weights)[:,(train_md[col] == i)].mean((1,2))\n", |
||
| 4180 | " sz = (train_md[col] == i).sum()\n", |
||
| 4181 | " sz_test = (test_md[col] == i).sum()\n", |
||
| 4182 | " print('{:2d}: {:6d} {:6d} {}'.format(i,sz,sz_test,res))" |
||
| 4183 | ] |
||
| 4184 | }, |
||
| 4185 | { |
||
| 4186 | "cell_type": "markdown", |
||
| 4187 | "metadata": {}, |
||
| 4188 | "source": [ |
||
| 4189 | "# Inference" |
||
| 4190 | ] |
||
| 4191 | }, |
||
| 4192 | { |
||
| 4193 | "cell_type": "code", |
||
| 4194 | "execution_count": 84, |
||
| 4195 | "metadata": { |
||
| 4196 | "scrolled": true |
||
| 4197 | }, |
||
| 4198 | "outputs": [ |
||
| 4199 | { |
||
| 4200 | "name": "stdout", |
||
| 4201 | "output_type": "stream", |
||
| 4202 | "text": [ |
||
| 4203 | "completed epochs: 13\n", |
||
| 4204 | "loading model model.b13.f0.d14.v35\n", |
||
| 4205 | "adding dummy serieses 2\n", |
||
| 4206 | "DataSet 14 test size 3520 fold 0\n", |
||
| 4207 | "dataset test: 3520 loader test: 110 anum: 0\n", |
||
| 4208 | "setFeats, augmentation -1\n" |
||
| 4209 | ] |
||
| 4210 | }, |
||
| 4211 | { |
||
| 4212 | "ename": "FileNotFoundError", |
||
| 4213 | "evalue": "[Errno 2] No such file or directory: '/mnt/edisk/running/features/se_resnet101_5n/test2/test.f0.a0'", |
||
| 4214 | "output_type": "error", |
||
| 4215 | "traceback": [ |
||
| 4216 | "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", |
||
| 4217 | "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", |
||
| 4218 | "\u001b[0;32m<ipython-input-84-de854db3530e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mpreds2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0manum\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mpredictions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minference_one\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfold\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfold\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0manum\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0mpreds2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mpreds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpreds2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
||
| 4219 | "\u001b[0;32m<ipython-input-82-5f73bc7ddaa9>\u001b[0m in \u001b[0;36minference_one\u001b[0;34m(dataset, bs, add_seed, fold, anum)\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'dataset test:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtst_ds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'loader test:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloader_tst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'anum:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0manum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 30\u001b[0;31m \u001b[0mtst_ds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetFeats\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manum\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[0mloc_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtst_ds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
||
| 4220 | "\u001b[0;32m<ipython-input-82-44e0138eb17e>\u001b[0m in \u001b[0;36msetFeats\u001b[0;34m(self, anum, epoch)\u001b[0m\n\u001b[1;32m 81\u001b[0m getAPathFeats('test', self.metadata.test.sum(), self.test_mask)] ,axis=0)\n\u001b[1;32m 82\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 83\u001b[0;31m \u001b[0mfeats\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetAPathFeats\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 84\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 85\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m13\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'train'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'valid'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mTRAIN_ON_STAGE_1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
||
| 4221 | "\u001b[0;32m<ipython-input-82-44e0138eb17e>\u001b[0m in \u001b[0;36mgetAPathFeats\u001b[0;34m(mode, sz, mask)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgetAPathFeats\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msz\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[0mmax_a\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m8\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'test'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m \u001b[0mfeats2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetAPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0man\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0man\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_a\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 65\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 66\u001b[0m \u001b[0mfeats2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfeats2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
||
| 4222 | "\u001b[0;32m<ipython-input-82-44e0138eb17e>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgetAPathFeats\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msz\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[0mmax_a\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m8\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'test'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m \u001b[0mfeats2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetAPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0man\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0man\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_a\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 65\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 66\u001b[0m \u001b[0mfeats2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfeats2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", |
||
| 4223 | "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/mnt/edisk/running/features/se_resnet101_5n/test2/test.f0.a0'" |
||
| 4224 | ] |
||
| 4225 | } |
||
| 4226 | ], |
||
| 4227 | "source": [ |
||
| 4228 | "stg = time.time()\n", |
||
| 4229 | "\n", |
||
| 4230 | "#for ds in (my_datasets3 + my_datasets5):\n", |
||
| 4231 | "for ds in [14]:\n", |
||
| 4232 | " folds = getNFolds(ds)\n", |
||
| 4233 | " preds = []\n", |
||
| 4234 | " for fold in range(folds):\n", |
||
| 4235 | " preds2 = []\n", |
||
| 4236 | " for anum in range(32):\n", |
||
| 4237 | " predictions = inference_one(fold = fold, anum = anum, bs=bs, dataset=ds)\n", |
||
| 4238 | " preds2.append(predictions)\n", |
||
| 4239 | " preds.append(np.stack(preds2))\n", |
||
| 4240 | " preds = np.stack(preds)\n", |
||
| 4241 | " print('total time', time.time() - stg)\n", |
||
| 4242 | " \n", |
||
| 4243 | " pickle.dump(preds, open(PATH_DISK/'preds_d{}_v{}'.format(ds, VERSION),'wb'))" |
||
| 4244 | ] |
||
| 4245 | }, |
||
| 4246 | { |
||
| 4247 | "cell_type": "code", |
||
| 4248 | "execution_count": null, |
||
| 4249 | "metadata": {}, |
||
| 4250 | "outputs": [], |
||
| 4251 | "source": [ |
||
| 4252 | "#11221.892060995102" |
||
| 4253 | ] |
||
| 4254 | }, |
||
| 4255 | { |
||
| 4256 | "cell_type": "code", |
||
| 4257 | "execution_count": null, |
||
| 4258 | "metadata": {}, |
||
| 4259 | "outputs": [], |
||
| 4260 | "source": [ |
||
| 4261 | "#total time 1466.092379808426 5x8\n", |
||
| 4262 | "#total time 5399.404406309128 5x32" |
||
| 4263 | ] |
||
| 4264 | }, |
||
| 4265 | { |
||
| 4266 | "cell_type": "markdown", |
||
| 4267 | "metadata": {}, |
||
| 4268 | "source": [ |
||
| 4269 | "# Files transfer" |
||
| 4270 | ] |
||
| 4271 | }, |
||
| 4272 | { |
||
| 4273 | "cell_type": "code", |
||
| 4274 | "execution_count": 68, |
||
| 4275 | "metadata": {}, |
||
| 4276 | "outputs": [ |
||
| 4277 | { |
||
| 4278 | "name": "stdout", |
||
| 4279 | "output_type": "stream", |
||
| 4280 | "text": [ |
||
| 4281 | "Copying file:///home/zahar_chikishev/running/oof_d6_f0_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4282 | "Copying file:///home/zahar_chikishev/running/oof_d6_f1_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4283 | "Copying file:///home/zahar_chikishev/running/oof_d6_f2_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4284 | "Copying file:///home/zahar_chikishev/running/oof_d7_f0_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4285 | "- [4 files][164.5 MiB/164.5 MiB] \n", |
||
| 4286 | "==> NOTE: You are performing a sequence of gsutil operations that may\n", |
||
| 4287 | "run significantly faster if you instead use gsutil -m cp ... Please\n", |
||
| 4288 | "see the -m section under \"gsutil help options\" for further information\n", |
||
| 4289 | "about when gsutil -m can be advantageous.\n", |
||
| 4290 | "\n", |
||
| 4291 | "Copying file:///home/zahar_chikishev/running/oof_d7_f1_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4292 | "Copying file:///home/zahar_chikishev/running/oof_d7_f2_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4293 | "Copying file:///home/zahar_chikishev/running/oof_d8_f0_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4294 | "Copying file:///home/zahar_chikishev/running/oof_d8_f1_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4295 | "Copying file:///home/zahar_chikishev/running/oof_d8_f2_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4296 | "Copying file:///home/zahar_chikishev/running/oof_d9_f0_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4297 | "Copying file:///home/zahar_chikishev/running/oof_d9_f1_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4298 | "Copying file:///home/zahar_chikishev/running/oof_d9_f2_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4299 | "| [12 files][493.8 MiB/493.8 MiB] 35.9 MiB/s \n", |
||
| 4300 | "Operation completed over 12 objects/493.8 MiB. \n" |
||
| 4301 | ] |
||
| 4302 | } |
||
| 4303 | ], |
||
| 4304 | "source": [ |
||
| 4305 | "!gsutil cp /home/zahar_chikishev/running/oof* gs://rsna-hemorrhage/results" |
||
| 4306 | ] |
||
| 4307 | }, |
||
| 4308 | { |
||
| 4309 | "cell_type": "code", |
||
| 4310 | "execution_count": 69, |
||
| 4311 | "metadata": {}, |
||
| 4312 | "outputs": [ |
||
| 4313 | { |
||
| 4314 | "name": "stdout", |
||
| 4315 | "output_type": "stream", |
||
| 4316 | "text": [ |
||
| 4317 | "Copying file:///home/zahar_chikishev/running/preds_d6_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4318 | "Copying file:///home/zahar_chikishev/running/preds_d7_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4319 | "Copying file:///home/zahar_chikishev/running/preds_d8_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4320 | "Copying file:///home/zahar_chikishev/running/preds_d9_v20 [Content-Type=application/octet-stream]...\n", |
||
| 4321 | "\\ [4 files][172.6 MiB/172.6 MiB] \n", |
||
| 4322 | "Operation completed over 4 objects/172.6 MiB. \n" |
||
| 4323 | ] |
||
| 4324 | } |
||
| 4325 | ], |
||
| 4326 | "source": [ |
||
| 4327 | "!gsutil cp /home/zahar_chikishev/running/preds* gs://rsna-hemorrhage/results" |
||
| 4328 | ] |
||
| 4329 | }, |
||
| 4330 | { |
||
| 4331 | "cell_type": "code", |
||
| 4332 | "execution_count": null, |
||
| 4333 | "metadata": {}, |
||
| 4334 | "outputs": [], |
||
| 4335 | "source": [ |
||
| 4336 | "!gsutil -m cp gs://rsna-hemorrhage/results/* C:\\StudioProjects\\Hemorrhage\\running\\ensemble" |
||
| 4337 | ] |
||
| 4338 | }, |
||
| 4339 | { |
||
| 4340 | "cell_type": "code", |
||
| 4341 | "execution_count": null, |
||
| 4342 | "metadata": {}, |
||
| 4343 | "outputs": [], |
||
| 4344 | "source": [ |
||
| 4345 | "!gsutil -m cp gs://rsna-hemorrhage/yuvals/model_Densenet161_3_version_classifier_splits_fullhead_resmodel_type_OOF_pred_split_* ." |
||
| 4346 | ] |
||
| 4347 | }, |
||
| 4348 | { |
||
| 4349 | "cell_type": "code", |
||
| 4350 | "execution_count": null, |
||
| 4351 | "metadata": {}, |
||
| 4352 | "outputs": [], |
||
| 4353 | "source": [ |
||
| 4354 | "!gsutil -m cp gs://rsna-hemorrhage/yuvals/model_*_version_classifier_splits_fullhead_resmodel_type_OOF_pred_split_* ." |
||
| 4355 | ] |
||
| 4356 | }, |
||
| 4357 | { |
||
| 4358 | "cell_type": "code", |
||
| 4359 | "execution_count": null, |
||
| 4360 | "metadata": {}, |
||
| 4361 | "outputs": [], |
||
| 4362 | "source": [ |
||
| 4363 | "!gsutil -m cp gs://rsna-hemorrhage/yuvals/model_Densenet161_3_version_classifier_splits_fullhead_resmodel_type_test_pred_ensamble_split_* ." |
||
| 4364 | ] |
||
| 4365 | }, |
||
| 4366 | { |
||
| 4367 | "cell_type": "code", |
||
| 4368 | "execution_count": null, |
||
| 4369 | "metadata": {}, |
||
| 4370 | "outputs": [], |
||
| 4371 | "source": [ |
||
| 4372 | "!gsutil cp gs://rsna-hemorrhage/yuvals/OOF_validation_image_ids.pkl .\n", |
||
| 4373 | "!gsutil cp gs://rsna-hemorrhage/yuvals/ensemble_test_image_ids.pkl ." |
||
| 4374 | ] |
||
| 4375 | }, |
||
| 4376 | { |
||
| 4377 | "cell_type": "code", |
||
| 4378 | "execution_count": null, |
||
| 4379 | "metadata": {}, |
||
| 4380 | "outputs": [], |
||
| 4381 | "source": [] |
||
| 4382 | }, |
||
| 4383 | { |
||
| 4384 | "cell_type": "code", |
||
| 4385 | "execution_count": null, |
||
| 4386 | "metadata": {}, |
||
| 4387 | "outputs": [], |
||
| 4388 | "source": [] |
||
| 4389 | }, |
||
| 4390 | { |
||
| 4391 | "cell_type": "code", |
||
| 4392 | "execution_count": 19, |
||
| 4393 | "metadata": {}, |
||
| 4394 | "outputs": [], |
||
| 4395 | "source": [ |
||
| 4396 | "!rm /home/zahar_chikishev/running/*v53" |
||
| 4397 | ] |
||
| 4398 | }, |
||
| 4399 | { |
||
| 4400 | "cell_type": "code", |
||
| 4401 | "execution_count": 18, |
||
| 4402 | "metadata": {}, |
||
| 4403 | "outputs": [ |
||
| 4404 | { |
||
| 4405 | "name": "stdout", |
||
| 4406 | "output_type": "stream", |
||
| 4407 | "text": [ |
||
| 4408 | "/home/zahar_chikishev/running/preds_se_resnext101_32x4d_v53\r\n", |
||
| 4409 | "/home/zahar_chikishev/running/stats.f0.v53\r\n", |
||
| 4410 | "/home/zahar_chikishev/running/stats.f1.v53\r\n", |
||
| 4411 | "/home/zahar_chikishev/running/stats.f2.v53\r\n" |
||
| 4412 | ] |
||
| 4413 | } |
||
| 4414 | ], |
||
| 4415 | "source": [ |
||
| 4416 | "!ls /home/zahar_chikishev/running/*v53" |
||
| 4417 | ] |
||
| 4418 | }, |
||
| 4419 | { |
||
| 4420 | "cell_type": "code", |
||
| 4421 | "execution_count": 20, |
||
| 4422 | "metadata": {}, |
||
| 4423 | "outputs": [ |
||
| 4424 | { |
||
| 4425 | "name": "stdout", |
||
| 4426 | "output_type": "stream", |
||
| 4427 | "text": [ |
||
| 4428 | "/home/zahar_chikishev/running/oof_Densenet161_f0_v72\r\n", |
||
| 4429 | "/home/zahar_chikishev/running/oof_Densenet161_f1_v72\r\n", |
||
| 4430 | "/home/zahar_chikishev/running/oof_Densenet161_f2_v72\r\n", |
||
| 4431 | "/home/zahar_chikishev/running/oof_Densenet169_f0_v73\r\n", |
||
| 4432 | "/home/zahar_chikishev/running/oof_Densenet169_f1_v73\r\n", |
||
| 4433 | "/home/zahar_chikishev/running/oof_Densenet169_f2_v73\r\n", |
||
| 4434 | "/home/zahar_chikishev/running/oof_Densenet201_f0_v74\r\n", |
||
| 4435 | "/home/zahar_chikishev/running/oof_Densenet201_f1_v74\r\n", |
||
| 4436 | "/home/zahar_chikishev/running/oof_Densenet201_f2_v74\r\n", |
||
| 4437 | "/home/zahar_chikishev/running/oof_se_resnext101_32x4d_f0_v75\r\n", |
||
| 4438 | "/home/zahar_chikishev/running/oof_se_resnext101_32x4d_f1_v75\r\n", |
||
| 4439 | "/home/zahar_chikishev/running/oof_se_resnext101_32x4d_f2_v75\r\n" |
||
| 4440 | ] |
||
| 4441 | } |
||
| 4442 | ], |
||
| 4443 | "source": [ |
||
| 4444 | "!ls /home/zahar_chikishev/running/oof*" |
||
| 4445 | ] |
||
| 4446 | }, |
||
| 4447 | { |
||
| 4448 | "cell_type": "code", |
||
| 4449 | "execution_count": 21, |
||
| 4450 | "metadata": { |
||
| 4451 | "scrolled": true |
||
| 4452 | }, |
||
| 4453 | "outputs": [ |
||
| 4454 | { |
||
| 4455 | "name": "stdout", |
||
| 4456 | "output_type": "stream", |
||
| 4457 | "text": [ |
||
| 4458 | "/home/zahar_chikishev/running/preds_Densenet161_v72\r\n", |
||
| 4459 | "/home/zahar_chikishev/running/preds_Densenet169_v73\r\n", |
||
| 4460 | "/home/zahar_chikishev/running/preds_Densenet201_v74\r\n", |
||
| 4461 | "/home/zahar_chikishev/running/preds_se_resnext101_32x4d_v75\r\n" |
||
| 4462 | ] |
||
| 4463 | } |
||
| 4464 | ], |
||
| 4465 | "source": [ |
||
| 4466 | "!ls /home/zahar_chikishev/running/preds*" |
||
| 4467 | ] |
||
| 4468 | }, |
||
| 4469 | { |
||
| 4470 | "cell_type": "markdown", |
||
| 4471 | "metadata": {}, |
||
| 4472 | "source": [ |
||
| 4473 | "# Ensembling" |
||
| 4474 | ] |
||
| 4475 | }, |
||
| 4476 | { |
||
| 4477 | "cell_type": "code", |
||
| 4478 | "execution_count": 34, |
||
| 4479 | "metadata": { |
||
| 4480 | "scrolled": true |
||
| 4481 | }, |
||
| 4482 | "outputs": [ |
||
| 4483 | { |
||
| 4484 | "data": { |
||
| 4485 | "text/plain": [ |
||
| 4486 | "(10, 752797, 6)" |
||
| 4487 | ] |
||
| 4488 | }, |
||
| 4489 | "execution_count": 34, |
||
| 4490 | "metadata": {}, |
||
| 4491 | "output_type": "execute_result" |
||
| 4492 | } |
||
| 4493 | ], |
||
| 4494 | "source": [ |
||
| 4495 | "preds_all.shape" |
||
| 4496 | ] |
||
| 4497 | }, |
||
| 4498 | { |
||
| 4499 | "cell_type": "code", |
||
| 4500 | "execution_count": null, |
||
| 4501 | "metadata": {}, |
||
| 4502 | "outputs": [], |
||
| 4503 | "source": [] |
||
| 4504 | }, |
||
| 4505 | { |
||
| 4506 | "cell_type": "code", |
||
| 4507 | "execution_count": 35, |
||
| 4508 | "metadata": {}, |
||
| 4509 | "outputs": [ |
||
| 4510 | { |
||
| 4511 | "data": { |
||
| 4512 | "text/plain": [ |
||
| 4513 | "[<matplotlib.lines.Line2D at 0x7f8298f99450>]" |
||
| 4514 | ] |
||
| 4515 | }, |
||
| 4516 | "execution_count": 35, |
||
| 4517 | "metadata": {}, |
||
| 4518 | "output_type": "execute_result" |
||
| 4519 | }, |
||
| 4520 | { |
||
| 4521 | "data": { |
||
| 4522 | "image/png": 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\n", |
||
| 4523 | "text/plain": [ |
||
| 4524 | "<Figure size 432x288 with 1 Axes>" |
||
| 4525 | ] |
||
| 4526 | }, |
||
| 4527 | "metadata": { |
||
| 4528 | "needs_background": "light" |
||
| 4529 | }, |
||
| 4530 | "output_type": "display_data" |
||
| 4531 | } |
||
| 4532 | ], |
||
| 4533 | "source": [ |
||
| 4534 | "#dd = pd.DataFrame(preds_all.mean(1)[4], columns=all_ich)\n", |
||
| 4535 | "dd = pd.DataFrame(preds_all.mean(0), columns=all_ich)\n", |
||
| 4536 | "\n", |
||
| 4537 | "k=5\n", |
||
| 4538 | "plt.plot([0,100],[0,1])\n", |
||
| 4539 | "plt.plot(train_md[[all_ich[k]]].groupby(pd.cut(dd[all_ich[k]],np.arange(101)/100)).mean().values)" |
||
| 4540 | ] |
||
| 4541 | }, |
||
| 4542 | { |
||
| 4543 | "cell_type": "code", |
||
| 4544 | "execution_count": 36, |
||
| 4545 | "metadata": {}, |
||
| 4546 | "outputs": [ |
||
| 4547 | { |
||
| 4548 | "data": { |
||
| 4549 | "text/plain": [ |
||
| 4550 | "[<matplotlib.lines.Line2D at 0x7f8298d8b790>]" |
||
| 4551 | ] |
||
| 4552 | }, |
||
| 4553 | "execution_count": 36, |
||
| 4554 | "metadata": {}, |
||
| 4555 | "output_type": "execute_result" |
||
| 4556 | }, |
||
| 4557 | { |
||
| 4558 | "data": { |
||
| 4559 | "image/png": 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\n", |
||
| 4560 | "text/plain": [ |
||
| 4561 | "<Figure size 432x288 with 1 Axes>" |
||
| 4562 | ] |
||
| 4563 | }, |
||
| 4564 | "metadata": { |
||
| 4565 | "needs_background": "light" |
||
| 4566 | }, |
||
| 4567 | "output_type": "display_data" |
||
| 4568 | } |
||
| 4569 | ], |
||
| 4570 | "source": [ |
||
| 4571 | "k = 0\n", |
||
| 4572 | "dd = pd.DataFrame((preds_all.mean(0)), columns=all_ich)\n", |
||
| 4573 | "vals = (train_md[all_ich[k]]*train_md['weights']).groupby(pd.cut(dd[all_ich[k]],np.arange(101)/100)).mean()/ \\\n", |
||
| 4574 | " train_md['weights'].groupby(pd.cut(dd[all_ich[k]],np.arange(101)/100)).mean()\n", |
||
| 4575 | "\n", |
||
| 4576 | "#dd = pd.DataFrame(preds_all.mean(1)[4], columns=all_ich)\n", |
||
| 4577 | "\n", |
||
| 4578 | "plt.plot([0,100],[0,1])\n", |
||
| 4579 | "plt.plot(vals.values)" |
||
| 4580 | ] |
||
| 4581 | }, |
||
| 4582 | { |
||
| 4583 | "cell_type": "code", |
||
| 4584 | "execution_count": null, |
||
| 4585 | "metadata": {}, |
||
| 4586 | "outputs": [], |
||
| 4587 | "source": [] |
||
| 4588 | }, |
||
| 4589 | { |
||
| 4590 | "cell_type": "code", |
||
| 4591 | "execution_count": 37, |
||
| 4592 | "metadata": {}, |
||
| 4593 | "outputs": [ |
||
| 4594 | { |
||
| 4595 | "name": "stdout", |
||
| 4596 | "output_type": "stream", |
||
| 4597 | "text": [ |
||
| 4598 | "0.05430755335203294\n" |
||
| 4599 | ] |
||
| 4600 | } |
||
| 4601 | ], |
||
| 4602 | "source": [ |
||
| 4603 | "res = np.zeros(6)\n", |
||
| 4604 | "for k in range(6):\n", |
||
| 4605 | " res[k] = log_loss(train_md[all_ich[k]], preds_all.mean(0)[:,k], eps=1e-7, labels=[0,1], \\\n", |
||
| 4606 | " sample_weight=train_md.weights)\n", |
||
| 4607 | "print((res*class_weights).mean())" |
||
| 4608 | ] |
||
| 4609 | }, |
||
| 4610 | { |
||
| 4611 | "cell_type": "code", |
||
| 4612 | "execution_count": 38, |
||
| 4613 | "metadata": {}, |
||
| 4614 | "outputs": [ |
||
| 4615 | { |
||
| 4616 | "name": "stdout", |
||
| 4617 | "output_type": "stream", |
||
| 4618 | "text": [ |
||
| 4619 | "0.05507244939620463\n" |
||
| 4620 | ] |
||
| 4621 | } |
||
| 4622 | ], |
||
| 4623 | "source": [ |
||
| 4624 | "res = np.zeros(6)\n", |
||
| 4625 | "for k in range(6):\n", |
||
| 4626 | " res[k] = log_loss(train_md[all_ich[k]], preds_all.mean(0)[:,k]**(0.9), eps=1e-7, labels=[0,1], \\\n", |
||
| 4627 | " sample_weight=train_md.weights)\n", |
||
| 4628 | "print((res*class_weights).mean())" |
||
| 4629 | ] |
||
| 4630 | }, |
||
| 4631 | { |
||
| 4632 | "cell_type": "code", |
||
| 4633 | "execution_count": null, |
||
| 4634 | "metadata": {}, |
||
| 4635 | "outputs": [], |
||
| 4636 | "source": [] |
||
| 4637 | }, |
||
| 4638 | { |
||
| 4639 | "cell_type": "code", |
||
| 4640 | "execution_count": 71, |
||
| 4641 | "metadata": {}, |
||
| 4642 | "outputs": [], |
||
| 4643 | "source": [ |
||
| 4644 | "%run ./Code.ipynb" |
||
| 4645 | ] |
||
| 4646 | }, |
||
| 4647 | { |
||
| 4648 | "cell_type": "code", |
||
| 4649 | "execution_count": null, |
||
| 4650 | "metadata": {}, |
||
| 4651 | "outputs": [], |
||
| 4652 | "source": [] |
||
| 4653 | }, |
||
| 4654 | { |
||
| 4655 | "cell_type": "code", |
||
| 4656 | "execution_count": 39, |
||
| 4657 | "metadata": {}, |
||
| 4658 | "outputs": [], |
||
| 4659 | "source": [ |
||
| 4660 | "stats_fn = PATH_DISK/'ensemble'/'stats.v{}'.format(VERSION)\n", |
||
| 4661 | "if stats_fn.is_file():\n", |
||
| 4662 | " stats_fn.unlink()" |
||
| 4663 | ] |
||
| 4664 | }, |
||
| 4665 | { |
||
| 4666 | "cell_type": "code", |
||
| 4667 | "execution_count": 43, |
||
| 4668 | "metadata": { |
||
| 4669 | "scrolled": true |
||
| 4670 | }, |
||
| 4671 | "outputs": [ |
||
| 4672 | { |
||
| 4673 | "name": "stdout", |
||
| 4674 | "output_type": "stream", |
||
| 4675 | "text": [ |
||
| 4676 | "starting fold 0 target 0\n", |
||
| 4677 | "my_len 4\n", |
||
| 4678 | "obj 0.08727681341480276\n", |
||
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||
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||
| 4696 | "model [0.5022 0.4978] sum 0.9999676813453886\n", |
||
| 4697 | "my_len 4\n", |
||
| 4698 | "v34 f0 t0: original ll 0.0935/0.0886, ensemble ll 0.0935/0.0886\n", |
||
| 4699 | "running time 3.408698320388794\n", |
||
| 4700 | "starting fold 0 target 1\n", |
||
| 4701 | "my_len 4\n", |
||
| 4702 | "obj 0.012081623796648948\n", |
||
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||
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||
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||
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||
| 4716 | "model [0.2831 0.6969] sum 0.9800013450345408\n", |
||
| 4717 | "my_len 4\n", |
||
| 4718 | "v34 f0 t1: original ll 0.0150/0.0139, ensemble ll 0.0149/0.0138\n", |
||
| 4719 | "running time 2.795881509780884\n", |
||
| 4720 | "starting fold 0 target 2\n", |
||
| 4721 | "my_len 4\n", |
||
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||
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||
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||
| 4737 | "my_len 4\n", |
||
| 4738 | "v34 f0 t2: original ll 0.0415/0.0392, ensemble ll 0.0415/0.0392\n", |
||
| 4739 | "running time 2.8015294075012207\n", |
||
| 4740 | "starting fold 0 target 3\n", |
||
| 4741 | "my_len 4\n", |
||
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| 4754 | "obj 0.022460281207617266\n", |
||
| 4755 | "obj 0.02246025802669623\n", |
||
| 4756 | "model [0.2562 0.7438] sum 0.9999997939535652\n", |
||
| 4757 | "my_len 4\n", |
||
| 4758 | "v34 f0 t3: original ll 0.0243/0.0239, ensemble ll 0.0243/0.0239\n", |
||
| 4759 | "running time 2.816469669342041\n", |
||
| 4760 | "starting fold 0 target 4\n", |
||
| 4761 | "my_len 4\n", |
||
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| 4775 | "obj 0.05854778093821152\n", |
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| 4776 | "obj 0.05854778093568046\n", |
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| 4777 | "model [0.1849 0.8112] sum 0.9961132357622775\n", |
||
| 4778 | "my_len 4\n", |
||
| 4779 | "v34 f0 t4: original ll 0.0617/0.0596, ensemble ll 0.0617/0.0596\n", |
||
| 4780 | "running time 2.985300064086914\n", |
||
| 4781 | "starting fold 0 target 5\n", |
||
| 4782 | "my_len 4\n", |
||
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| 4796 | "model [0.3466 0.6453] sum 0.9918766105998069\n", |
||
| 4797 | "my_len 4\n", |
||
| 4798 | "v34 f0 t5: original ll 0.0789/0.0757, ensemble ll 0.0789/0.0757\n", |
||
| 4799 | "running time 2.694082736968994\n", |
||
| 4800 | "starting fold 1 target 0\n", |
||
| 4801 | "my_len 4\n", |
||
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||
| 4819 | "my_len 4\n", |
||
| 4820 | "v34 f1 t0: original ll 0.0964/0.0902, ensemble ll 0.0965/0.0902\n", |
||
| 4821 | "running time 3.123203992843628\n", |
||
| 4822 | "starting fold 1 target 1\n", |
||
| 4823 | "my_len 4\n", |
||
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||
| 4841 | "my_len 4\n", |
||
| 4842 | "v34 f1 t1: original ll 0.0128/0.0110, ensemble ll 0.0129/0.0111\n", |
||
| 4843 | "running time 3.057985782623291\n", |
||
| 4844 | "starting fold 1 target 2\n", |
||
| 4845 | "my_len 4\n", |
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||
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||
| 4867 | "running time 3.355295419692993\n", |
||
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||
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||
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||
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||
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||
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||
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||
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||
| 4908 | "running time 2.8280203342437744\n", |
||
| 4909 | "starting fold 1 target 5\n", |
||
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||
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||
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||
| 4928 | "running time 2.8228495121002197\n", |
||
| 4929 | "starting fold 2 target 0\n", |
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||
| 4947 | "my_len 4\n", |
||
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||
| 4949 | "running time 2.990800380706787\n", |
||
| 4950 | "starting fold 2 target 1\n", |
||
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||
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||
| 4969 | "running time 2.79952335357666\n", |
||
| 4970 | "starting fold 2 target 2\n", |
||
| 4971 | "my_len 4\n", |
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| 4984 | ] |
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| 4985 | }, |
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| 4986 | { |
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| 4987 | "name": "stdout", |
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| 4988 | "output_type": "stream", |
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| 4994 | "model [0.3423 0.6557] sum 0.998008898781132\n", |
||
| 4995 | "my_len 4\n", |
||
| 4996 | "v34 f2 t2: original ll 0.0370/0.0348, ensemble ll 0.0369/0.0348\n", |
||
| 4997 | "running time 3.07651686668396\n", |
||
| 4998 | "starting fold 2 target 3\n", |
||
| 4999 | "my_len 4\n", |
||
| 5000 | "obj 0.022995224518522383\n", |
||
| 5001 | "obj 0.02299340932717575\n", |
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||
| 5018 | "my_len 4\n", |
||
| 5019 | "v34 f2 t3: original ll 0.0236/0.0230, ensemble ll 0.0235/0.0229\n", |
||
| 5020 | "running time 3.2023861408233643\n", |
||
| 5021 | "starting fold 2 target 4\n", |
||
| 5022 | "my_len 4\n", |
||
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| 5038 | "obj 0.059454221233066123\n", |
||
| 5039 | "model [0.3094 0.6888] sum 0.9982120655965214\n", |
||
| 5040 | "my_len 4\n", |
||
| 5041 | "v34 f2 t4: original ll 0.0608/0.0579, ensemble ll 0.0606/0.0578\n", |
||
| 5042 | "running time 3.11377215385437\n", |
||
| 5043 | "starting fold 2 target 5\n", |
||
| 5044 | "my_len 4\n", |
||
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||
| 5046 | "obj 0.07494193934979902\n", |
||
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||
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||
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| 5060 | "obj 0.07490381954523084\n", |
||
| 5061 | "model [0.3463 0.6515] sum 0.9977752843293807\n", |
||
| 5062 | "my_len 4\n", |
||
| 5063 | "v34 f2 t5: original ll 0.0719/0.0680, ensemble ll 0.0718/0.0680\n", |
||
| 5064 | "running time 3.083256244659424\n", |
||
| 5065 | "total running time 54.07902908325195\n" |
||
| 5066 | ] |
||
| 5067 | } |
||
| 5068 | ], |
||
| 5069 | "source": [ |
||
| 5070 | "stg = time.time()\n", |
||
| 5071 | "for fold in range(3):\n", |
||
| 5072 | " for target in range(6):\n", |
||
| 5073 | " train_ensemble(train_md, preds_all, fold=fold, target=target, weighted=True)\n", |
||
| 5074 | "print('total running time', time.time() - stg)" |
||
| 5075 | ] |
||
| 5076 | }, |
||
| 5077 | { |
||
| 5078 | "cell_type": "code", |
||
| 5079 | "execution_count": 40, |
||
| 5080 | "metadata": { |
||
| 5081 | "scrolled": true |
||
| 5082 | }, |
||
| 5083 | "outputs": [ |
||
| 5084 | { |
||
| 5085 | "name": "stdout", |
||
| 5086 | "output_type": "stream", |
||
| 5087 | "text": [ |
||
| 5088 | "starting fold 0 target 0\n", |
||
| 5089 | "my_len 4\n", |
||
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||
| 5106 | "my_len 4\n", |
||
| 5107 | "v33 f0 t0: original ll 0.0935/0.0887, ensemble ll 0.0935/0.0887\n", |
||
| 5108 | "running time 3.2507238388061523\n", |
||
| 5109 | "starting fold 0 target 1\n", |
||
| 5110 | "my_len 4\n", |
||
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||
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||
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| 5125 | "obj 0.013818405670253893\n", |
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| 5126 | "model [0.2427 0.7373] sum 0.9800015590878185\n", |
||
| 5127 | "my_len 4\n", |
||
| 5128 | "v33 f0 t1: original ll 0.0149/0.0138, ensemble ll 0.0148/0.0137\n", |
||
| 5129 | "running time 3.0066232681274414\n", |
||
| 5130 | "starting fold 0 target 2\n", |
||
| 5131 | "my_len 4\n", |
||
| 5132 | "obj 0.03855627126313789\n", |
||
| 5133 | "obj 0.03856925253658012\n", |
||
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||
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||
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||
| 5139 | "obj 0.03856816332340819\n", |
||
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||
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| 5144 | "obj 0.038489236663254565\n", |
||
| 5145 | "obj 0.038489183204291004\n", |
||
| 5146 | "model [0.2783 0.7217] sum 0.9999990774048544\n", |
||
| 5147 | "my_len 4\n", |
||
| 5148 | "v33 f0 t2: original ll 0.0415/0.0392, ensemble ll 0.0415/0.0393\n", |
||
| 5149 | "running time 2.8931853771209717\n", |
||
| 5150 | "starting fold 0 target 3\n", |
||
| 5151 | "my_len 4\n", |
||
| 5152 | "obj 0.023471819011950737\n", |
||
| 5153 | "obj 0.02346308538936012\n", |
||
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| 5155 | "obj 0.023463096870067094\n", |
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| 5160 | "obj 0.02346382293862838\n", |
||
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||
| 5162 | "obj 0.02343353697215318\n", |
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| 5163 | "obj 0.023433088692115203\n", |
||
| 5164 | "obj 0.02343308800612711\n", |
||
| 5165 | "obj 0.023433059211329016\n", |
||
| 5166 | "model [0.306 0.694] sum 0.9999997220069807\n", |
||
| 5167 | "my_len 4\n", |
||
| 5168 | "v33 f0 t3: original ll 0.0243/0.0239, ensemble ll 0.0243/0.0239\n", |
||
| 5169 | "running time 2.9580657482147217\n", |
||
| 5170 | "starting fold 0 target 4\n", |
||
| 5171 | "my_len 4\n", |
||
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||
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||
| 5182 | "obj 0.06187496883012553\n", |
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| 5183 | "obj 0.06187358174569984\n", |
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| 5184 | "obj 0.061873550371914346\n", |
||
| 5185 | "obj 0.06187354965251176\n", |
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| 5186 | "obj 0.06187354965195954\n", |
||
| 5187 | "model [0.1759 0.8163] sum 0.9922753054062554\n", |
||
| 5188 | "my_len 4\n", |
||
| 5189 | "v33 f0 t4: original ll 0.0617/0.0596, ensemble ll 0.0617/0.0596\n", |
||
| 5190 | "running time 3.1102256774902344\n", |
||
| 5191 | "starting fold 0 target 5\n", |
||
| 5192 | "my_len 4\n", |
||
| 5193 | "obj 0.07485970317009938\n", |
||
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| 5198 | "obj 0.07484035286995884\n", |
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| 5199 | "obj 0.07484141900156345\n", |
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| 5203 | "obj 0.07482549187014455\n", |
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||
| 5206 | "obj 0.07482367083879939\n", |
||
| 5207 | "obj 0.07482367083046154\n", |
||
| 5208 | "model [0.3925 0.6007] sum 0.9931778590255735\n", |
||
| 5209 | "my_len 4\n", |
||
| 5210 | "v33 f0 t5: original ll 0.0789/0.0757, ensemble ll 0.0789/0.0757\n", |
||
| 5211 | "running time 3.0676307678222656\n", |
||
| 5212 | "starting fold 1 target 0\n", |
||
| 5213 | "my_len 4\n", |
||
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| 5227 | "obj 0.09197109088607663\n", |
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| 5229 | "obj 0.09197095367445211\n", |
||
| 5230 | "obj 0.0919709467643533\n", |
||
| 5231 | "model [0.5953 0.4047] sum 0.9999621194280907\n", |
||
| 5232 | "my_len 4\n", |
||
| 5233 | "v33 f1 t0: original ll 0.0963/0.0902, ensemble ll 0.0963/0.0902\n", |
||
| 5234 | "running time 3.3472983837127686\n", |
||
| 5235 | "starting fold 1 target 1\n", |
||
| 5236 | "my_len 4\n", |
||
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||
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| 5243 | "obj 0.014951577023955265\n", |
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| 5244 | "obj 0.014951063187963957\n", |
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| 5249 | "obj 0.014821058186807711\n", |
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| 5250 | "obj 0.0148210268020669\n", |
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| 5251 | "obj 0.01482102580854534\n", |
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| 5252 | "model [0.1376 0.8624] sum 0.9999999409483264\n", |
||
| 5253 | "my_len 4\n", |
||
| 5254 | "v33 f1 t1: original ll 0.0128/0.0110, ensemble ll 0.0128/0.0110\n", |
||
| 5255 | "running time 2.9967260360717773\n", |
||
| 5256 | "starting fold 1 target 2\n", |
||
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||
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||
| 5275 | "my_len 4\n", |
||
| 5276 | "v33 f1 t2: original ll 0.0401/0.0381, ensemble ll 0.0401/0.0381\n", |
||
| 5277 | "running time 3.1578216552734375\n", |
||
| 5278 | "starting fold 1 target 3\n", |
||
| 5279 | "my_len 4\n", |
||
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| 5295 | "model [0.359 0.641] sum 0.9999985792555948\n", |
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| 5297 | "v33 f1 t3: original ll 0.0233/0.0221, ensemble ll 0.0233/0.0220\n", |
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| 5298 | "running time 3.0442991256713867\n", |
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| 5299 | "starting fold 1 target 4\n", |
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| 5300 | "my_len 4\n", |
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| 5317 | "v33 f1 t4: original ll 0.0632/0.0594, ensemble ll 0.0632/0.0594\n", |
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| 5318 | "running time 2.8806824684143066\n", |
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| 5339 | "starting fold 2 target 0\n", |
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| 5355 | "obj 0.0948854679188669\n", |
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| 5359 | "v33 f2 t0: original ll 0.0905/0.0845, ensemble ll 0.0905/0.0845\n", |
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| 5360 | "running time 3.214533567428589\n", |
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| 5361 | "starting fold 2 target 1\n", |
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||
| 5378 | "v33 f2 t1: original ll 0.0150/0.0133, ensemble ll 0.0149/0.0131\n", |
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| 5379 | "running time 2.7753772735595703\n", |
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| 5380 | "starting fold 2 target 2\n", |
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| 5395 | "obj 0.04077012004624905\n" |
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| 5397 | }, |
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| 5398 | { |
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| 5399 | "name": "stdout", |
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| 5400 | "output_type": "stream", |
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| 5401 | "text": [ |
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| 5402 | "obj 0.040770119816992766\n", |
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| 5403 | "model [0.3174 0.68 ] sum 0.9973906231915857\n", |
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| 5404 | "my_len 4\n", |
||
| 5405 | "v33 f2 t2: original ll 0.0370/0.0348, ensemble ll 0.0370/0.0348\n", |
||
| 5406 | "running time 3.0440049171447754\n", |
||
| 5407 | "starting fold 2 target 3\n", |
||
| 5408 | "my_len 4\n", |
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| 5417 | "obj 0.02385181419582523\n", |
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| 5420 | "obj 0.023802547496832128\n", |
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| 5422 | "obj 0.02380161177878747\n", |
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| 5423 | "obj 0.02380158861610797\n", |
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| 5424 | "model [0.3532 0.6468] sum 0.9999989006282439\n", |
||
| 5425 | "my_len 4\n", |
||
| 5426 | "v33 f2 t3: original ll 0.0236/0.0230, ensemble ll 0.0236/0.0229\n", |
||
| 5427 | "running time 3.017551898956299\n", |
||
| 5428 | "starting fold 2 target 4\n", |
||
| 5429 | "my_len 4\n", |
||
| 5430 | "obj 0.06243179531025402\n", |
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| 5431 | "obj 0.062427099035585125\n", |
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| 5432 | "obj 0.06242713613481103\n", |
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| 5442 | "obj 0.062393648133430374\n", |
||
| 5443 | "obj 0.06239362889706076\n", |
||
| 5444 | "obj 0.06239362873376792\n", |
||
| 5445 | "model [0.3265 0.6706] sum 0.9971639400865144\n", |
||
| 5446 | "my_len 4\n", |
||
| 5447 | "v33 f2 t4: original ll 0.0608/0.0580, ensemble ll 0.0607/0.0578\n", |
||
| 5448 | "running time 3.0167412757873535\n", |
||
| 5449 | "starting fold 2 target 5\n", |
||
| 5450 | "my_len 4\n", |
||
| 5451 | "obj 0.07838134560788608\n", |
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| 5453 | "obj 0.07838071177563007\n", |
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| 5456 | "obj 0.07838512557832436\n", |
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| 5457 | "obj 0.07839379106272942\n", |
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| 5458 | "obj 0.07841541302344214\n", |
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| 5459 | "obj 0.07839227446721775\n", |
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| 5460 | "obj 0.0784030307958988\n", |
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| 5467 | "obj 0.0783500665027853\n", |
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| 5468 | "obj 0.07835006642985422\n", |
||
| 5469 | "model [0.366 0.6339] sum 0.999906731906863\n", |
||
| 5470 | "my_len 4\n", |
||
| 5471 | "v33 f2 t5: original ll 0.0718/0.0680, ensemble ll 0.0718/0.0680\n", |
||
| 5472 | "running time 3.3957345485687256\n", |
||
| 5473 | "total running time 55.21563124656677\n" |
||
| 5474 | ] |
||
| 5475 | } |
||
| 5476 | ], |
||
| 5477 | "source": [ |
||
| 5478 | "stg = time.time()\n", |
||
| 5479 | "for fold in range(3):\n", |
||
| 5480 | " for target in range(6):\n", |
||
| 5481 | " train_ensemble(train_md, preds_all, fold=fold, target=target, weighted=False)\n", |
||
| 5482 | "print('total running time', time.time() - stg)" |
||
| 5483 | ] |
||
| 5484 | }, |
||
| 5485 | { |
||
| 5486 | "cell_type": "code", |
||
| 5487 | "execution_count": 41, |
||
| 5488 | "metadata": { |
||
| 5489 | "scrolled": false |
||
| 5490 | }, |
||
| 5491 | "outputs": [ |
||
| 5492 | { |
||
| 5493 | "data": { |
||
| 5494 | "text/html": [ |
||
| 5495 | "<div>\n", |
||
| 5496 | "<style scoped>\n", |
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| 5497 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 5498 | " vertical-align: middle;\n", |
||
| 5499 | " }\n", |
||
| 5500 | "\n", |
||
| 5501 | " .dataframe tbody tr th {\n", |
||
| 5502 | " vertical-align: top;\n", |
||
| 5503 | " }\n", |
||
| 5504 | "\n", |
||
| 5505 | " .dataframe thead th {\n", |
||
| 5506 | " text-align: right;\n", |
||
| 5507 | " }\n", |
||
| 5508 | "</style>\n", |
||
| 5509 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 5510 | " <thead>\n", |
||
| 5511 | " <tr style=\"text-align: right;\">\n", |
||
| 5512 | " <th></th>\n", |
||
| 5513 | " <th></th>\n", |
||
| 5514 | " <th>valid_loss</th>\n", |
||
| 5515 | " <th>valid_loss_ens</th>\n", |
||
| 5516 | " <th>valid_w_loss</th>\n", |
||
| 5517 | " <th>valid_w_loss_ens</th>\n", |
||
| 5518 | " </tr>\n", |
||
| 5519 | " <tr>\n", |
||
| 5520 | " <th>weighted</th>\n", |
||
| 5521 | " <th>target</th>\n", |
||
| 5522 | " <th></th>\n", |
||
| 5523 | " <th></th>\n", |
||
| 5524 | " <th></th>\n", |
||
| 5525 | " <th></th>\n", |
||
| 5526 | " </tr>\n", |
||
| 5527 | " </thead>\n", |
||
| 5528 | " <tbody>\n", |
||
| 5529 | " <tr>\n", |
||
| 5530 | " <td rowspan=\"6\" valign=\"top\">False</td>\n", |
||
| 5531 | " <td>0</td>\n", |
||
| 5532 | " <td>0.093420</td>\n", |
||
| 5533 | " <td>0.093428</td>\n", |
||
| 5534 | " <td>0.087781</td>\n", |
||
| 5535 | " <td>0.087797</td>\n", |
||
| 5536 | " </tr>\n", |
||
| 5537 | " <tr>\n", |
||
| 5538 | " <td>1</td>\n", |
||
| 5539 | " <td>0.014243</td>\n", |
||
| 5540 | " <td>0.014183</td>\n", |
||
| 5541 | " <td>0.012694</td>\n", |
||
| 5542 | " <td>0.012633</td>\n", |
||
| 5543 | " </tr>\n", |
||
| 5544 | " <tr>\n", |
||
| 5545 | " <td>2</td>\n", |
||
| 5546 | " <td>0.039539</td>\n", |
||
| 5547 | " <td>0.039512</td>\n", |
||
| 5548 | " <td>0.037398</td>\n", |
||
| 5549 | " <td>0.037367</td>\n", |
||
| 5550 | " </tr>\n", |
||
| 5551 | " <tr>\n", |
||
| 5552 | " <td>3</td>\n", |
||
| 5553 | " <td>0.023751</td>\n", |
||
| 5554 | " <td>0.023728</td>\n", |
||
| 5555 | " <td>0.022988</td>\n", |
||
| 5556 | " <td>0.022953</td>\n", |
||
| 5557 | " </tr>\n", |
||
| 5558 | " <tr>\n", |
||
| 5559 | " <td>4</td>\n", |
||
| 5560 | " <td>0.061900</td>\n", |
||
| 5561 | " <td>0.061866</td>\n", |
||
| 5562 | " <td>0.058991</td>\n", |
||
| 5563 | " <td>0.058947</td>\n", |
||
| 5564 | " </tr>\n", |
||
| 5565 | " <tr>\n", |
||
| 5566 | " <td>5</td>\n", |
||
| 5567 | " <td>0.076200</td>\n", |
||
| 5568 | " <td>0.076194</td>\n", |
||
| 5569 | " <td>0.072653</td>\n", |
||
| 5570 | " <td>0.072625</td>\n", |
||
| 5571 | " </tr>\n", |
||
| 5572 | " </tbody>\n", |
||
| 5573 | "</table>\n", |
||
| 5574 | "</div>" |
||
| 5575 | ], |
||
| 5576 | "text/plain": [ |
||
| 5577 | " valid_loss valid_loss_ens valid_w_loss valid_w_loss_ens\n", |
||
| 5578 | "weighted target \n", |
||
| 5579 | "False 0 0.093420 0.093428 0.087781 0.087797\n", |
||
| 5580 | " 1 0.014243 0.014183 0.012694 0.012633\n", |
||
| 5581 | " 2 0.039539 0.039512 0.037398 0.037367\n", |
||
| 5582 | " 3 0.023751 0.023728 0.022988 0.022953\n", |
||
| 5583 | " 4 0.061900 0.061866 0.058991 0.058947\n", |
||
| 5584 | " 5 0.076200 0.076194 0.072653 0.072625" |
||
| 5585 | ] |
||
| 5586 | }, |
||
| 5587 | "execution_count": 41, |
||
| 5588 | "metadata": {}, |
||
| 5589 | "output_type": "execute_result" |
||
| 5590 | } |
||
| 5591 | ], |
||
| 5592 | "source": [ |
||
| 5593 | "stats = pd.read_csv(PATH_DISK/'ensemble'/'stats.v{}'.format(VERSION))\n", |
||
| 5594 | "stats.groupby(['weighted','target'])[['valid_loss','valid_loss_ens','valid_w_loss','valid_w_loss_ens']].mean()" |
||
| 5595 | ] |
||
| 5596 | }, |
||
| 5597 | { |
||
| 5598 | "cell_type": "code", |
||
| 5599 | "execution_count": 46, |
||
| 5600 | "metadata": {}, |
||
| 5601 | "outputs": [ |
||
| 5602 | { |
||
| 5603 | "data": { |
||
| 5604 | "text/html": [ |
||
| 5605 | "<div>\n", |
||
| 5606 | "<style scoped>\n", |
||
| 5607 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 5608 | " vertical-align: middle;\n", |
||
| 5609 | " }\n", |
||
| 5610 | "\n", |
||
| 5611 | " .dataframe tbody tr th {\n", |
||
| 5612 | " vertical-align: top;\n", |
||
| 5613 | " }\n", |
||
| 5614 | "\n", |
||
| 5615 | " .dataframe thead th {\n", |
||
| 5616 | " text-align: right;\n", |
||
| 5617 | " }\n", |
||
| 5618 | "</style>\n", |
||
| 5619 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 5620 | " <thead>\n", |
||
| 5621 | " <tr style=\"text-align: right;\">\n", |
||
| 5622 | " <th></th>\n", |
||
| 5623 | " <th>not weighted</th>\n", |
||
| 5624 | " <th>weighted</th>\n", |
||
| 5625 | " </tr>\n", |
||
| 5626 | " </thead>\n", |
||
| 5627 | " <tbody>\n", |
||
| 5628 | " <tr>\n", |
||
| 5629 | " <td>valid_loss</td>\n", |
||
| 5630 | " <td>0.057518</td>\n", |
||
| 5631 | " <td>0.057518</td>\n", |
||
| 5632 | " </tr>\n", |
||
| 5633 | " <tr>\n", |
||
| 5634 | " <td>valid_w_loss</td>\n", |
||
| 5635 | " <td>0.054293</td>\n", |
||
| 5636 | " <td>0.054293</td>\n", |
||
| 5637 | " </tr>\n", |
||
| 5638 | " <tr>\n", |
||
| 5639 | " <td>valid_loss_ens</td>\n", |
||
| 5640 | " <td>0.057500</td>\n", |
||
| 5641 | " <td>0.057498</td>\n", |
||
| 5642 | " </tr>\n", |
||
| 5643 | " <tr>\n", |
||
| 5644 | " <td>valid_w_loss_ens</td>\n", |
||
| 5645 | " <td>0.054274</td>\n", |
||
| 5646 | " <td>0.054269</td>\n", |
||
| 5647 | " </tr>\n", |
||
| 5648 | " </tbody>\n", |
||
| 5649 | "</table>\n", |
||
| 5650 | "</div>" |
||
| 5651 | ], |
||
| 5652 | "text/plain": [ |
||
| 5653 | " not weighted weighted\n", |
||
| 5654 | "valid_loss 0.057518 0.057518\n", |
||
| 5655 | "valid_w_loss 0.054293 0.054293\n", |
||
| 5656 | "valid_loss_ens 0.057500 0.057498\n", |
||
| 5657 | "valid_w_loss_ens 0.054274 0.054269" |
||
| 5658 | ] |
||
| 5659 | }, |
||
| 5660 | "execution_count": 46, |
||
| 5661 | "metadata": {}, |
||
| 5662 | "output_type": "execute_result" |
||
| 5663 | } |
||
| 5664 | ], |
||
| 5665 | "source": [ |
||
| 5666 | "# STAGE2 weighted models\n", |
||
| 5667 | "tt = pd.concat([\n", |
||
| 5668 | "stats.loc[stats.weighted == False].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5669 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5670 | " .apply(lambda x: x*class_weights).mean(),\n", |
||
| 5671 | "stats.loc[stats.weighted == True].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5672 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5673 | " .apply(lambda x: x*class_weights).mean()\n", |
||
| 5674 | "],axis=1)\n", |
||
| 5675 | "tt.columns = ['not weighted','weighted']\n", |
||
| 5676 | "tt" |
||
| 5677 | ] |
||
| 5678 | }, |
||
| 5679 | { |
||
| 5680 | "cell_type": "code", |
||
| 5681 | "execution_count": 52, |
||
| 5682 | "metadata": {}, |
||
| 5683 | "outputs": [ |
||
| 5684 | { |
||
| 5685 | "data": { |
||
| 5686 | "text/html": [ |
||
| 5687 | "<div>\n", |
||
| 5688 | "<style scoped>\n", |
||
| 5689 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 5690 | " vertical-align: middle;\n", |
||
| 5691 | " }\n", |
||
| 5692 | "\n", |
||
| 5693 | " .dataframe tbody tr th {\n", |
||
| 5694 | " vertical-align: top;\n", |
||
| 5695 | " }\n", |
||
| 5696 | "\n", |
||
| 5697 | " .dataframe thead th {\n", |
||
| 5698 | " text-align: right;\n", |
||
| 5699 | " }\n", |
||
| 5700 | "</style>\n", |
||
| 5701 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 5702 | " <thead>\n", |
||
| 5703 | " <tr style=\"text-align: right;\">\n", |
||
| 5704 | " <th></th>\n", |
||
| 5705 | " <th>not weighted</th>\n", |
||
| 5706 | " <th>weighted</th>\n", |
||
| 5707 | " </tr>\n", |
||
| 5708 | " </thead>\n", |
||
| 5709 | " <tbody>\n", |
||
| 5710 | " <tr>\n", |
||
| 5711 | " <td>valid_loss</td>\n", |
||
| 5712 | " <td>0.057496</td>\n", |
||
| 5713 | " <td>0.057496</td>\n", |
||
| 5714 | " </tr>\n", |
||
| 5715 | " <tr>\n", |
||
| 5716 | " <td>valid_w_loss</td>\n", |
||
| 5717 | " <td>0.054326</td>\n", |
||
| 5718 | " <td>0.054326</td>\n", |
||
| 5719 | " </tr>\n", |
||
| 5720 | " <tr>\n", |
||
| 5721 | " <td>valid_loss_ens</td>\n", |
||
| 5722 | " <td>0.057477</td>\n", |
||
| 5723 | " <td>0.057475</td>\n", |
||
| 5724 | " </tr>\n", |
||
| 5725 | " <tr>\n", |
||
| 5726 | " <td>valid_w_loss_ens</td>\n", |
||
| 5727 | " <td>0.054303</td>\n", |
||
| 5728 | " <td>0.054299</td>\n", |
||
| 5729 | " </tr>\n", |
||
| 5730 | " </tbody>\n", |
||
| 5731 | "</table>\n", |
||
| 5732 | "</div>" |
||
| 5733 | ], |
||
| 5734 | "text/plain": [ |
||
| 5735 | " not weighted weighted\n", |
||
| 5736 | "valid_loss 0.057496 0.057496\n", |
||
| 5737 | "valid_w_loss 0.054326 0.054326\n", |
||
| 5738 | "valid_loss_ens 0.057477 0.057475\n", |
||
| 5739 | "valid_w_loss_ens 0.054303 0.054299" |
||
| 5740 | ] |
||
| 5741 | }, |
||
| 5742 | "execution_count": 52, |
||
| 5743 | "metadata": {}, |
||
| 5744 | "output_type": "execute_result" |
||
| 5745 | } |
||
| 5746 | ], |
||
| 5747 | "source": [ |
||
| 5748 | "# STAGE2 non-wegihted models\n", |
||
| 5749 | "tt = pd.concat([\n", |
||
| 5750 | "stats.loc[stats.weighted == False].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5751 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5752 | " .apply(lambda x: x*class_weights).mean(),\n", |
||
| 5753 | "stats.loc[stats.weighted == True].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5754 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5755 | " .apply(lambda x: x*class_weights).mean()\n", |
||
| 5756 | "],axis=1)\n", |
||
| 5757 | "tt.columns = ['not weighted','weighted']\n", |
||
| 5758 | "tt" |
||
| 5759 | ] |
||
| 5760 | }, |
||
| 5761 | { |
||
| 5762 | "cell_type": "code", |
||
| 5763 | "execution_count": 41, |
||
| 5764 | "metadata": {}, |
||
| 5765 | "outputs": [ |
||
| 5766 | { |
||
| 5767 | "data": { |
||
| 5768 | "text/html": [ |
||
| 5769 | "<div>\n", |
||
| 5770 | "<style scoped>\n", |
||
| 5771 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 5772 | " vertical-align: middle;\n", |
||
| 5773 | " }\n", |
||
| 5774 | "\n", |
||
| 5775 | " .dataframe tbody tr th {\n", |
||
| 5776 | " vertical-align: top;\n", |
||
| 5777 | " }\n", |
||
| 5778 | "\n", |
||
| 5779 | " .dataframe thead th {\n", |
||
| 5780 | " text-align: right;\n", |
||
| 5781 | " }\n", |
||
| 5782 | "</style>\n", |
||
| 5783 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 5784 | " <thead>\n", |
||
| 5785 | " <tr style=\"text-align: right;\">\n", |
||
| 5786 | " <th></th>\n", |
||
| 5787 | " <th>not weighted</th>\n", |
||
| 5788 | " <th>weighted</th>\n", |
||
| 5789 | " </tr>\n", |
||
| 5790 | " </thead>\n", |
||
| 5791 | " <tbody>\n", |
||
| 5792 | " <tr>\n", |
||
| 5793 | " <td>valid_loss</td>\n", |
||
| 5794 | " <td>0.057750</td>\n", |
||
| 5795 | " <td>0.057750</td>\n", |
||
| 5796 | " </tr>\n", |
||
| 5797 | " <tr>\n", |
||
| 5798 | " <td>valid_w_loss</td>\n", |
||
| 5799 | " <td>0.061831</td>\n", |
||
| 5800 | " <td>0.061831</td>\n", |
||
| 5801 | " </tr>\n", |
||
| 5802 | " <tr>\n", |
||
| 5803 | " <td>valid_loss_ens</td>\n", |
||
| 5804 | " <td>0.057658</td>\n", |
||
| 5805 | " <td>0.058210</td>\n", |
||
| 5806 | " </tr>\n", |
||
| 5807 | " <tr>\n", |
||
| 5808 | " <td>valid_w_loss_ens</td>\n", |
||
| 5809 | " <td>0.062176</td>\n", |
||
| 5810 | " <td>0.061514</td>\n", |
||
| 5811 | " </tr>\n", |
||
| 5812 | " </tbody>\n", |
||
| 5813 | "</table>\n", |
||
| 5814 | "</div>" |
||
| 5815 | ], |
||
| 5816 | "text/plain": [ |
||
| 5817 | " not weighted weighted\n", |
||
| 5818 | "valid_loss 0.057750 0.057750\n", |
||
| 5819 | "valid_w_loss 0.061831 0.061831\n", |
||
| 5820 | "valid_loss_ens 0.057658 0.058210\n", |
||
| 5821 | "valid_w_loss_ens 0.062176 0.061514" |
||
| 5822 | ] |
||
| 5823 | }, |
||
| 5824 | "execution_count": 41, |
||
| 5825 | "metadata": {}, |
||
| 5826 | "output_type": "execute_result" |
||
| 5827 | } |
||
| 5828 | ], |
||
| 5829 | "source": [ |
||
| 5830 | "# wegihted models\n", |
||
| 5831 | "tt = pd.concat([\n", |
||
| 5832 | "stats.loc[stats.weighted == False].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5833 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5834 | " .apply(lambda x: x*class_weights).mean(),\n", |
||
| 5835 | "stats.loc[stats.weighted == True].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5836 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5837 | " .apply(lambda x: x*class_weights).mean()\n", |
||
| 5838 | "],axis=1)\n", |
||
| 5839 | "tt.columns = ['not weighted','weighted']\n", |
||
| 5840 | "tt" |
||
| 5841 | ] |
||
| 5842 | }, |
||
| 5843 | { |
||
| 5844 | "cell_type": "code", |
||
| 5845 | "execution_count": 51, |
||
| 5846 | "metadata": {}, |
||
| 5847 | "outputs": [ |
||
| 5848 | { |
||
| 5849 | "data": { |
||
| 5850 | "text/html": [ |
||
| 5851 | "<div>\n", |
||
| 5852 | "<style scoped>\n", |
||
| 5853 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 5854 | " vertical-align: middle;\n", |
||
| 5855 | " }\n", |
||
| 5856 | "\n", |
||
| 5857 | " .dataframe tbody tr th {\n", |
||
| 5858 | " vertical-align: top;\n", |
||
| 5859 | " }\n", |
||
| 5860 | "\n", |
||
| 5861 | " .dataframe thead th {\n", |
||
| 5862 | " text-align: right;\n", |
||
| 5863 | " }\n", |
||
| 5864 | "</style>\n", |
||
| 5865 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 5866 | " <thead>\n", |
||
| 5867 | " <tr style=\"text-align: right;\">\n", |
||
| 5868 | " <th></th>\n", |
||
| 5869 | " <th>not weighted</th>\n", |
||
| 5870 | " <th>weighted</th>\n", |
||
| 5871 | " </tr>\n", |
||
| 5872 | " </thead>\n", |
||
| 5873 | " <tbody>\n", |
||
| 5874 | " <tr>\n", |
||
| 5875 | " <td>valid_loss</td>\n", |
||
| 5876 | " <td>0.057661</td>\n", |
||
| 5877 | " <td>0.057661</td>\n", |
||
| 5878 | " </tr>\n", |
||
| 5879 | " <tr>\n", |
||
| 5880 | " <td>valid_w_loss</td>\n", |
||
| 5881 | " <td>0.062715</td>\n", |
||
| 5882 | " <td>0.062715</td>\n", |
||
| 5883 | " </tr>\n", |
||
| 5884 | " <tr>\n", |
||
| 5885 | " <td>valid_loss_ens</td>\n", |
||
| 5886 | " <td>0.057638</td>\n", |
||
| 5887 | " <td>0.057799</td>\n", |
||
| 5888 | " </tr>\n", |
||
| 5889 | " <tr>\n", |
||
| 5890 | " <td>valid_w_loss_ens</td>\n", |
||
| 5891 | " <td>0.062705</td>\n", |
||
| 5892 | " <td>0.062648</td>\n", |
||
| 5893 | " </tr>\n", |
||
| 5894 | " </tbody>\n", |
||
| 5895 | "</table>\n", |
||
| 5896 | "</div>" |
||
| 5897 | ], |
||
| 5898 | "text/plain": [ |
||
| 5899 | " not weighted weighted\n", |
||
| 5900 | "valid_loss 0.057661 0.057661\n", |
||
| 5901 | "valid_w_loss 0.062715 0.062715\n", |
||
| 5902 | "valid_loss_ens 0.057638 0.057799\n", |
||
| 5903 | "valid_w_loss_ens 0.062705 0.062648" |
||
| 5904 | ] |
||
| 5905 | }, |
||
| 5906 | "execution_count": 51, |
||
| 5907 | "metadata": {}, |
||
| 5908 | "output_type": "execute_result" |
||
| 5909 | } |
||
| 5910 | ], |
||
| 5911 | "source": [ |
||
| 5912 | "# non-weighted models\n", |
||
| 5913 | "tt = pd.concat([\n", |
||
| 5914 | "stats.loc[stats.weighted == False].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5915 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5916 | " .apply(lambda x: x*class_weights).mean(),\n", |
||
| 5917 | "stats.loc[stats.weighted == True].groupby('target')[['valid_loss','valid_w_loss',\n", |
||
| 5918 | " 'valid_loss_ens','valid_w_loss_ens']].mean()\\\n", |
||
| 5919 | " .apply(lambda x: x*class_weights).mean()\n", |
||
| 5920 | "],axis=1)\n", |
||
| 5921 | "tt.columns = ['not weighted','weighted']\n", |
||
| 5922 | "tt" |
||
| 5923 | ] |
||
| 5924 | }, |
||
| 5925 | { |
||
| 5926 | "cell_type": "code", |
||
| 5927 | "execution_count": null, |
||
| 5928 | "metadata": {}, |
||
| 5929 | "outputs": [], |
||
| 5930 | "source": [] |
||
| 5931 | }, |
||
| 5932 | { |
||
| 5933 | "cell_type": "code", |
||
| 5934 | "execution_count": 43, |
||
| 5935 | "metadata": { |
||
| 5936 | "scrolled": false |
||
| 5937 | }, |
||
| 5938 | "outputs": [ |
||
| 5939 | { |
||
| 5940 | "name": "stdout", |
||
| 5941 | "output_type": "stream", |
||
| 5942 | "text": [ |
||
| 5943 | "0 [0.5599 0.4398] 0.9996370455376221\n", |
||
| 5944 | "1 [0.2003 0.7864] 0.9866685528969734\n", |
||
| 5945 | "2 [0.3142 0.6845] 0.99873854778024\n", |
||
| 5946 | "3 [0.3394 0.6606] 0.9999990672969397\n", |
||
| 5947 | "4 [0.2394 0.7571] 0.9964796234369401\n", |
||
| 5948 | "5 [0.3639 0.6317] 0.9955373459864658\n", |
||
| 5949 | "total [0.3362 0.66 ] 0.9961766971558637\n" |
||
| 5950 | ] |
||
| 5951 | } |
||
| 5952 | ], |
||
| 5953 | "source": [ |
||
| 5954 | "np.set_printoptions(precision=4)\n", |
||
| 5955 | "res2_all = []\n", |
||
| 5956 | "for target in range(6):\n", |
||
| 5957 | " res2 = np.zeros((3, 2))\n", |
||
| 5958 | " for fold in range(3):\n", |
||
| 5959 | " model = pickle.load(open(PATH_DISK/'ensemble'/'model.f{}.t{}.v{}'\n", |
||
| 5960 | " .format(fold,target,VERSION),'rb'))\n", |
||
| 5961 | " res2[fold] = model.x\n", |
||
| 5962 | " #print(fold,target,model.x)\n", |
||
| 5963 | " print(target, res2.mean(0), res2.mean(0).sum())\n", |
||
| 5964 | " res2_all.append(res2)\n", |
||
| 5965 | "print('total', np.stack(res2_all).mean((0,1)), np.stack(res2_all).mean((0,1)).sum())" |
||
| 5966 | ] |
||
| 5967 | }, |
||
| 5968 | { |
||
| 5969 | "cell_type": "raw", |
||
| 5970 | "metadata": {}, |
||
| 5971 | "source": [ |
||
| 5972 | "# STAGE2 weighted\n", |
||
| 5973 | "0 [0.5514 0.4486] 0.999988938547882\n", |
||
| 5974 | "1 [0.1934 0.7932] 0.9866673384339762\n", |
||
| 5975 | "2 [0.3245 0.6748] 0.99933085408868\n", |
||
| 5976 | "3 [0.2924 0.7076] 0.999999807185227\n", |
||
| 5977 | "4 [0.2338 0.7643] 0.9981083416558326\n", |
||
| 5978 | "5 [0.347 0.6474] 0.9944152840034981\n", |
||
| 5979 | "total [0.3237 0.6727] 0.9964184273191827\n", |
||
| 5980 | "\n", |
||
| 5981 | "\n", |
||
| 5982 | "# STAGE2 non-weighted\n", |
||
| 5983 | "0 [0.5599 0.4398] 0.9996370455376221\n", |
||
| 5984 | "1 [0.2003 0.7864] 0.9866685528969734\n", |
||
| 5985 | "2 [0.3142 0.6845] 0.99873854778024\n", |
||
| 5986 | "3 [0.3394 0.6606] 0.9999990672969397\n", |
||
| 5987 | "4 [0.2394 0.7571] 0.9964796234369401\n", |
||
| 5988 | "5 [0.3639 0.6317] 0.9955373459864658\n", |
||
| 5989 | "total [0.3362 0.66 ] 0.9961766971558637\n", |
||
| 5990 | "\n", |
||
| 5991 | "# weighted + focal both\n", |
||
| 5992 | "0 [9.8936e-01 4.6289e-06] 0.9893636389192056\n", |
||
| 5993 | "1 [0.1052 0.8948] 0.9999984169006635\n", |
||
| 5994 | "2 [0.4988 0.49 ] 0.9887665083664696\n", |
||
| 5995 | "3 [0.3443 0.6427] 0.9869733391806492\n", |
||
| 5996 | "4 [0.4923 0.4959] 0.9882284866416893\n", |
||
| 5997 | "5 [0.7736 0.217 ] 0.9906108307629572\n", |
||
| 5998 | "total [0.5339 0.4567] 0.9906568701286057\n", |
||
| 5999 | "\n", |
||
| 6000 | "# weighted + focal\n", |
||
| 6001 | "0 [0.9758 0.0133] 0.9890208236733224\n", |
||
| 6002 | "1 [0.0755 0.9245] 0.99999750757956\n", |
||
| 6003 | "2 [0.5121 0.4765] 0.9885906315242545\n", |
||
| 6004 | "3 [0.3465 0.6394] 0.9858337972624043\n", |
||
| 6005 | "4 [0.4733 0.5144] 0.987734118671811\n", |
||
| 6006 | "5 [0.6697 0.3208] 0.9904312808036815\n", |
||
| 6007 | "total [0.5088 0.4815] 0.990268026585839\n", |
||
| 6008 | "\n", |
||
| 6009 | "# weighted\n", |
||
| 6010 | "0 [0.9856 0.0034] 0.9890322827488863\n", |
||
| 6011 | "1 [0.1394 0.8606] 0.9999977090921796\n", |
||
| 6012 | "2 [0.5308 0.4582] 0.9890278807370222\n", |
||
| 6013 | "3 [0.3542 0.6317] 0.9858961392052805\n", |
||
| 6014 | "4 [0.4851 0.5028] 0.9879196279125524\n", |
||
| 6015 | "5 [0.7677 0.2223] 0.9900299923215763\n", |
||
| 6016 | "total [0.5438 0.4465] 0.9903172720029163\n", |
||
| 6017 | "\n", |
||
| 6018 | "# non-weighted\n", |
||
| 6019 | "0 [0.3504 0.6483] 0.9987279422120475\n", |
||
| 6020 | "1 [0.16 0.8267] 0.9866673030259768\n", |
||
| 6021 | "2 [0.2285 0.7706] 0.9990219638127198\n", |
||
| 6022 | "3 [0.2355 0.7636] 0.9991180197159109\n", |
||
| 6023 | "4 [0.1587 0.8378] 0.9965445852859403\n", |
||
| 6024 | "5 [0.2654 0.7281] 0.9934664823990461\n", |
||
| 6025 | "total [0.2331 0.7625] 0.995591049408607" |
||
| 6026 | ] |
||
| 6027 | }, |
||
| 6028 | { |
||
| 6029 | "cell_type": "code", |
||
| 6030 | "execution_count": null, |
||
| 6031 | "metadata": {}, |
||
| 6032 | "outputs": [], |
||
| 6033 | "source": [] |
||
| 6034 | }, |
||
| 6035 | { |
||
| 6036 | "cell_type": "code", |
||
| 6037 | "execution_count": 44, |
||
| 6038 | "metadata": {}, |
||
| 6039 | "outputs": [], |
||
| 6040 | "source": [ |
||
| 6041 | "preds3 = np.stack([pickle.load(open(PATH_DISK/'preds_d{}_v{}'.format(ds, VERSION),'rb')) for ds in my_datasets3])\n", |
||
| 6042 | "preds5 = np.stack([pickle.load(open(PATH_DISK/'preds_d{}_v{}'.format(ds, VERSION),'rb')) for ds in my_datasets5])" |
||
| 6043 | ] |
||
| 6044 | }, |
||
| 6045 | { |
||
| 6046 | "cell_type": "code", |
||
| 6047 | "execution_count": 45, |
||
| 6048 | "metadata": {}, |
||
| 6049 | "outputs": [], |
||
| 6050 | "source": [ |
||
| 6051 | "preds = np.concatenate([preds3.mean((1,2)), preds5.mean((1,2))],axis=0)" |
||
| 6052 | ] |
||
| 6053 | }, |
||
| 6054 | { |
||
| 6055 | "cell_type": "code", |
||
| 6056 | "execution_count": 50, |
||
| 6057 | "metadata": {}, |
||
| 6058 | "outputs": [], |
||
| 6059 | "source": [ |
||
| 6060 | "#del test_md['yuval_idx']" |
||
| 6061 | ] |
||
| 6062 | }, |
||
| 6063 | { |
||
| 6064 | "cell_type": "code", |
||
| 6065 | "execution_count": 46, |
||
| 6066 | "metadata": {}, |
||
| 6067 | "outputs": [], |
||
| 6068 | "source": [ |
||
| 6069 | "yuval_test = pickle.load(open(PATH_DISK/'yuval/ensemble_test_image_ids_stage2.pkl','rb'))\n", |
||
| 6070 | "assert len(yuval_test) == len(test_md)\n", |
||
| 6071 | "\n", |
||
| 6072 | "df = pd.DataFrame(np.arange(len(yuval_test)), columns=['yuval_idx'])\n", |
||
| 6073 | "df.index = yuval_test\n", |
||
| 6074 | "test_md = test_md.join(df, on = 'img_id')" |
||
| 6075 | ] |
||
| 6076 | }, |
||
| 6077 | { |
||
| 6078 | "cell_type": "code", |
||
| 6079 | "execution_count": 47, |
||
| 6080 | "metadata": {}, |
||
| 6081 | "outputs": [], |
||
| 6082 | "source": [ |
||
| 6083 | "names_y3 = [\n", |
||
| 6084 | " #'model_Densenet201_3_version_classifier_splits_fullhead_resmodel_pool2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 6085 | " #'model_Densenet161_3_version_classifier_splits_fullhead_resmodel_pool2_3_type_OOF_pred_split_{}.pkl',\n", |
||
| 6086 | "'model_Densenet169_3_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl',\n", |
||
| 6087 | "'model_se_resnext101_32x4d_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl',\n", |
||
| 6088 | "'model_se_resnet101_version_classifier_splits_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl'\n", |
||
| 6089 | "]" |
||
| 6090 | ] |
||
| 6091 | }, |
||
| 6092 | { |
||
| 6093 | "cell_type": "code", |
||
| 6094 | "execution_count": 48, |
||
| 6095 | "metadata": {}, |
||
| 6096 | "outputs": [], |
||
| 6097 | "source": [ |
||
| 6098 | "names_y5 = [\n", |
||
| 6099 | "'model_se_resnext101_32x4d_version_new_splits_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl',\n", |
||
| 6100 | "'model_se_resnet101_version_new_splits_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl',\n", |
||
| 6101 | "'model_se_resnet101_version_new_splits_focal_fullhead_resmodel_pool2_stage2_3_type_test_pred_ensemble_split_{}.pkl',\n", |
||
| 6102 | "]" |
||
| 6103 | ] |
||
| 6104 | }, |
||
| 6105 | { |
||
| 6106 | "cell_type": "code", |
||
| 6107 | "execution_count": 49, |
||
| 6108 | "metadata": {}, |
||
| 6109 | "outputs": [], |
||
| 6110 | "source": [ |
||
| 6111 | "preds_y3 = np.stack([torch.sigmoid(torch.stack([torch.stack(pickle.load(\n", |
||
| 6112 | " open(PATH_DISK/'yuval/OOF_stage2'/name.format(fold),'rb'))) for fold in range(3)])).numpy() for name in names_y3])" |
||
| 6113 | ] |
||
| 6114 | }, |
||
| 6115 | { |
||
| 6116 | "cell_type": "code", |
||
| 6117 | "execution_count": 50, |
||
| 6118 | "metadata": {}, |
||
| 6119 | "outputs": [], |
||
| 6120 | "source": [ |
||
| 6121 | "preds_y5 = np.stack([torch.sigmoid(torch.stack([torch.stack(pickle.load(\n", |
||
| 6122 | " open(PATH_DISK/'yuval/OOF_stage2'/name.format(fold),'rb'))) for fold in range(5)])).numpy() for name in names_y5])" |
||
| 6123 | ] |
||
| 6124 | }, |
||
| 6125 | { |
||
| 6126 | "cell_type": "code", |
||
| 6127 | "execution_count": 51, |
||
| 6128 | "metadata": {}, |
||
| 6129 | "outputs": [], |
||
| 6130 | "source": [ |
||
| 6131 | "preds_y = np.concatenate([preds_y3.mean((1,2)), preds_y5.mean((1,2))],axis=0)" |
||
| 6132 | ] |
||
| 6133 | }, |
||
| 6134 | { |
||
| 6135 | "cell_type": "code", |
||
| 6136 | "execution_count": 52, |
||
| 6137 | "metadata": {}, |
||
| 6138 | "outputs": [], |
||
| 6139 | "source": [ |
||
| 6140 | "preds_y = preds_y[:,test_md.yuval_idx]\n", |
||
| 6141 | "preds_y = preds_y[:,:,np.array([5,0,1,2,3,4])]" |
||
| 6142 | ] |
||
| 6143 | }, |
||
| 6144 | { |
||
| 6145 | "cell_type": "code", |
||
| 6146 | "execution_count": 53, |
||
| 6147 | "metadata": {}, |
||
| 6148 | "outputs": [], |
||
| 6149 | "source": [ |
||
| 6150 | "preds = np.concatenate([preds, preds_y], axis=0)" |
||
| 6151 | ] |
||
| 6152 | }, |
||
| 6153 | { |
||
| 6154 | "cell_type": "code", |
||
| 6155 | "execution_count": 54, |
||
| 6156 | "metadata": {}, |
||
| 6157 | "outputs": [], |
||
| 6158 | "source": [ |
||
| 6159 | "preds = preds[ds_mask]" |
||
| 6160 | ] |
||
| 6161 | }, |
||
| 6162 | { |
||
| 6163 | "cell_type": "code", |
||
| 6164 | "execution_count": 55, |
||
| 6165 | "metadata": { |
||
| 6166 | "scrolled": false |
||
| 6167 | }, |
||
| 6168 | "outputs": [ |
||
| 6169 | { |
||
| 6170 | "data": { |
||
| 6171 | "text/plain": [ |
||
| 6172 | "(10, 121232, 6)" |
||
| 6173 | ] |
||
| 6174 | }, |
||
| 6175 | "execution_count": 55, |
||
| 6176 | "metadata": {}, |
||
| 6177 | "output_type": "execute_result" |
||
| 6178 | } |
||
| 6179 | ], |
||
| 6180 | "source": [ |
||
| 6181 | "preds.shape" |
||
| 6182 | ] |
||
| 6183 | }, |
||
| 6184 | { |
||
| 6185 | "cell_type": "code", |
||
| 6186 | "execution_count": 56, |
||
| 6187 | "metadata": {}, |
||
| 6188 | "outputs": [ |
||
| 6189 | { |
||
| 6190 | "name": "stdout", |
||
| 6191 | "output_type": "stream", |
||
| 6192 | "text": [ |
||
| 6193 | "any too low inconsistencies\n", |
||
| 6194 | "1 class: 0.000837237693018345\n", |
||
| 6195 | "2 class: 0.016652369011482118\n", |
||
| 6196 | "3 class: 0.008991850336544807\n", |
||
| 6197 | "4 class: 0.016291903127887027\n", |
||
| 6198 | "5 class: 0.05360135937706216\n", |
||
| 6199 | "total 0.08837930579384981\n", |
||
| 6200 | "any too high inconsistencies\n", |
||
| 6201 | "total 0.21430810347103074\n" |
||
| 6202 | ] |
||
| 6203 | } |
||
| 6204 | ], |
||
| 6205 | "source": [ |
||
| 6206 | "preds = predBounding(preds)" |
||
| 6207 | ] |
||
| 6208 | }, |
||
| 6209 | { |
||
| 6210 | "cell_type": "code", |
||
| 6211 | "execution_count": 70, |
||
| 6212 | "metadata": {}, |
||
| 6213 | "outputs": [], |
||
| 6214 | "source": [ |
||
| 6215 | "#predictions = preds.mean((0,1))" |
||
| 6216 | ] |
||
| 6217 | }, |
||
| 6218 | { |
||
| 6219 | "cell_type": "code", |
||
| 6220 | "execution_count": 57, |
||
| 6221 | "metadata": {}, |
||
| 6222 | "outputs": [ |
||
| 6223 | { |
||
| 6224 | "name": "stdout", |
||
| 6225 | "output_type": "stream", |
||
| 6226 | "text": [ |
||
| 6227 | "version 33 my_len 4\n", |
||
| 6228 | "total running time 0.07065796852111816\n" |
||
| 6229 | ] |
||
| 6230 | } |
||
| 6231 | ], |
||
| 6232 | "source": [ |
||
| 6233 | "stg = time.time()\n", |
||
| 6234 | "\n", |
||
| 6235 | "test_preds_trgt = []\n", |
||
| 6236 | "print('version', VERSION, 'my_len', my_len)\n", |
||
| 6237 | "for target in range(6):\n", |
||
| 6238 | " \n", |
||
| 6239 | " test_preds_fold = []\n", |
||
| 6240 | " for fold in range(3):\n", |
||
| 6241 | " X = np.stack([preds[:my_len,:,target].mean(0), \n", |
||
| 6242 | " preds[my_len:,:,target].mean(0)], axis=0)\n", |
||
| 6243 | " \n", |
||
| 6244 | " model = pickle.load(open(PATH_DISK/'ensemble'/'model.f{}.t{}.v{}'.format(fold,target,VERSION),'rb'))\n", |
||
| 6245 | " test_preds_fold.append((X*np.expand_dims(model.x, axis=1)).sum(0))\n", |
||
| 6246 | " \n", |
||
| 6247 | " test_preds_trgt.append(np.stack(test_preds_fold).mean(0))\n", |
||
| 6248 | "\n", |
||
| 6249 | "predictions = np.stack(test_preds_trgt,axis=1)\n", |
||
| 6250 | "\n", |
||
| 6251 | "print('total running time', time.time() - stg)" |
||
| 6252 | ] |
||
| 6253 | }, |
||
| 6254 | { |
||
| 6255 | "cell_type": "code", |
||
| 6256 | "execution_count": 58, |
||
| 6257 | "metadata": {}, |
||
| 6258 | "outputs": [ |
||
| 6259 | { |
||
| 6260 | "data": { |
||
| 6261 | "text/plain": [ |
||
| 6262 | "array([[1. , 0.9956, 0.9954, 0.9953, 0.9958, 0.9937, 0.9942, 0.9947,\n", |
||
| 6263 | " 0.9946, 0.9943],\n", |
||
| 6264 | " [0.9956, 1. , 0.9978, 0.9977, 0.9951, 0.997 , 0.9964, 0.9986,\n", |
||
| 6265 | " 0.997 , 0.9967],\n", |
||
| 6266 | " [0.9954, 0.9978, 1. , 0.9992, 0.9951, 0.9956, 0.9972, 0.9966,\n", |
||
| 6267 | " 0.9984, 0.9978],\n", |
||
| 6268 | " [0.9953, 0.9977, 0.9992, 1. , 0.995 , 0.9957, 0.9973, 0.9967,\n", |
||
| 6269 | " 0.9982, 0.9985],\n", |
||
| 6270 | " [0.9958, 0.9951, 0.9951, 0.995 , 1. , 0.9944, 0.9949, 0.9954,\n", |
||
| 6271 | " 0.9955, 0.9951],\n", |
||
| 6272 | " [0.9937, 0.997 , 0.9956, 0.9957, 0.9944, 1. , 0.9965, 0.998 ,\n", |
||
| 6273 | " 0.9968, 0.9967],\n", |
||
| 6274 | " [0.9942, 0.9964, 0.9972, 0.9973, 0.9949, 0.9965, 1. , 0.9971,\n", |
||
| 6275 | " 0.9983, 0.9982],\n", |
||
| 6276 | " [0.9947, 0.9986, 0.9966, 0.9967, 0.9954, 0.998 , 0.9971, 1. ,\n", |
||
| 6277 | " 0.9979, 0.9977],\n", |
||
| 6278 | " [0.9946, 0.997 , 0.9984, 0.9982, 0.9955, 0.9968, 0.9983, 0.9979,\n", |
||
| 6279 | " 1. , 0.9993],\n", |
||
| 6280 | " [0.9943, 0.9967, 0.9978, 0.9985, 0.9951, 0.9967, 0.9982, 0.9977,\n", |
||
| 6281 | " 0.9993, 1. ]])" |
||
| 6282 | ] |
||
| 6283 | }, |
||
| 6284 | "execution_count": 58, |
||
| 6285 | "metadata": {}, |
||
| 6286 | "output_type": "execute_result" |
||
| 6287 | } |
||
| 6288 | ], |
||
| 6289 | "source": [ |
||
| 6290 | "np.corrcoef(preds[:,:,0])" |
||
| 6291 | ] |
||
| 6292 | }, |
||
| 6293 | { |
||
| 6294 | "cell_type": "code", |
||
| 6295 | "execution_count": 59, |
||
| 6296 | "metadata": { |
||
| 6297 | "scrolled": true |
||
| 6298 | }, |
||
| 6299 | "outputs": [ |
||
| 6300 | { |
||
| 6301 | "data": { |
||
| 6302 | "text/plain": [ |
||
| 6303 | "(121232, 6)" |
||
| 6304 | ] |
||
| 6305 | }, |
||
| 6306 | "execution_count": 59, |
||
| 6307 | "metadata": {}, |
||
| 6308 | "output_type": "execute_result" |
||
| 6309 | } |
||
| 6310 | ], |
||
| 6311 | "source": [ |
||
| 6312 | "predictions.shape" |
||
| 6313 | ] |
||
| 6314 | }, |
||
| 6315 | { |
||
| 6316 | "cell_type": "markdown", |
||
| 6317 | "metadata": {}, |
||
| 6318 | "source": [ |
||
| 6319 | "# Submitting" |
||
| 6320 | ] |
||
| 6321 | }, |
||
| 6322 | { |
||
| 6323 | "cell_type": "code", |
||
| 6324 | "execution_count": 60, |
||
| 6325 | "metadata": {}, |
||
| 6326 | "outputs": [], |
||
| 6327 | "source": [ |
||
| 6328 | "id_column = np.array([a + '_' + b for a in test_md.SOPInstanceUID for b in all_ich])\n", |
||
| 6329 | "sub = pd.DataFrame({'ID': id_column, 'Label': predictions.reshape(-1)})\n", |
||
| 6330 | "sub.to_csv(PATH/'sub.csv', index=False)" |
||
| 6331 | ] |
||
| 6332 | }, |
||
| 6333 | { |
||
| 6334 | "cell_type": "markdown", |
||
| 6335 | "metadata": {}, |
||
| 6336 | "source": [ |
||
| 6337 | "## Sanity checks" |
||
| 6338 | ] |
||
| 6339 | }, |
||
| 6340 | { |
||
| 6341 | "cell_type": "code", |
||
| 6342 | "execution_count": 61, |
||
| 6343 | "metadata": {}, |
||
| 6344 | "outputs": [], |
||
| 6345 | "source": [ |
||
| 6346 | "test_md['pred_any'] = predictions[:,0]" |
||
| 6347 | ] |
||
| 6348 | }, |
||
| 6349 | { |
||
| 6350 | "cell_type": "code", |
||
| 6351 | "execution_count": 62, |
||
| 6352 | "metadata": {}, |
||
| 6353 | "outputs": [ |
||
| 6354 | { |
||
| 6355 | "data": { |
||
| 6356 | "text/html": [ |
||
| 6357 | "<div>\n", |
||
| 6358 | "<style scoped>\n", |
||
| 6359 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 6360 | " vertical-align: middle;\n", |
||
| 6361 | " }\n", |
||
| 6362 | "\n", |
||
| 6363 | " .dataframe tbody tr th {\n", |
||
| 6364 | " vertical-align: top;\n", |
||
| 6365 | " }\n", |
||
| 6366 | "\n", |
||
| 6367 | " .dataframe thead th {\n", |
||
| 6368 | " text-align: right;\n", |
||
| 6369 | " }\n", |
||
| 6370 | "</style>\n", |
||
| 6371 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 6372 | " <thead>\n", |
||
| 6373 | " <tr style=\"text-align: right;\">\n", |
||
| 6374 | " <th></th>\n", |
||
| 6375 | " <th>img_id</th>\n", |
||
| 6376 | " <th>SOPInstanceUID</th>\n", |
||
| 6377 | " <th>Modality</th>\n", |
||
| 6378 | " <th>PatientID</th>\n", |
||
| 6379 | " <th>StudyInstanceUID</th>\n", |
||
| 6380 | " <th>SeriesInstanceUID</th>\n", |
||
| 6381 | " <th>StudyID</th>\n", |
||
| 6382 | " <th>ImagePositionPatient</th>\n", |
||
| 6383 | " <th>ImageOrientationPatient</th>\n", |
||
| 6384 | " <th>SamplesPerPixel</th>\n", |
||
| 6385 | " <th>PhotometricInterpretation</th>\n", |
||
| 6386 | " <th>Rows</th>\n", |
||
| 6387 | " <th>Columns</th>\n", |
||
| 6388 | " <th>PixelSpacing</th>\n", |
||
| 6389 | " <th>BitsAllocated</th>\n", |
||
| 6390 | " <th>BitsStored</th>\n", |
||
| 6391 | " <th>HighBit</th>\n", |
||
| 6392 | " <th>PixelRepresentation</th>\n", |
||
| 6393 | " <th>WindowCenter</th>\n", |
||
| 6394 | " <th>WindowWidth</th>\n", |
||
| 6395 | " <th>RescaleIntercept</th>\n", |
||
| 6396 | " <th>RescaleSlope</th>\n", |
||
| 6397 | " <th>PxlMin</th>\n", |
||
| 6398 | " <th>PxlMax</th>\n", |
||
| 6399 | " <th>PxlStd</th>\n", |
||
| 6400 | " <th>PxlMean</th>\n", |
||
| 6401 | " <th>test</th>\n", |
||
| 6402 | " <th>test2</th>\n", |
||
| 6403 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 6404 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 6405 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 6406 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 6407 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 6408 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 6409 | " <th>ImagePositionPatient_0</th>\n", |
||
| 6410 | " <th>ImagePositionPatient_1</th>\n", |
||
| 6411 | " <th>ImagePositionPatient_2</th>\n", |
||
| 6412 | " <th>PixelSpacing_0</th>\n", |
||
| 6413 | " <th>PixelSpacing_1</th>\n", |
||
| 6414 | " <th>WindowCenter_0</th>\n", |
||
| 6415 | " <th>WindowCenter_1</th>\n", |
||
| 6416 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 6417 | " <th>WindowWidth_0</th>\n", |
||
| 6418 | " <th>WindowWidth_1</th>\n", |
||
| 6419 | " <th>WindowWidth_0_le</th>\n", |
||
| 6420 | " <th>WindowWidth_1_le</th>\n", |
||
| 6421 | " <th>WindowCenter_1_le</th>\n", |
||
| 6422 | " <th>BitType_le</th>\n", |
||
| 6423 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 6424 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 6425 | " <th>...</th>\n", |
||
| 6426 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 6427 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 6428 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 6429 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 6430 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 6431 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 6432 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 6433 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 6434 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 6435 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 6436 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 6437 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 6438 | " <th>PixelSpacing_1_f</th>\n", |
||
| 6439 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 6440 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 6441 | " <th>WindowCenter_0_le</th>\n", |
||
| 6442 | " <th>pos_max</th>\n", |
||
| 6443 | " <th>pos_min</th>\n", |
||
| 6444 | " <th>pos_size</th>\n", |
||
| 6445 | " <th>pos_idx1</th>\n", |
||
| 6446 | " <th>pos_idx</th>\n", |
||
| 6447 | " <th>pos_idx2</th>\n", |
||
| 6448 | " <th>pos_inc1</th>\n", |
||
| 6449 | " <th>pos_inc2</th>\n", |
||
| 6450 | " <th>pos_inc1_grp_le</th>\n", |
||
| 6451 | " <th>pos_inc2_grp_le</th>\n", |
||
| 6452 | " <th>pos_inc1_r1</th>\n", |
||
| 6453 | " <th>pos_inc1_r0001</th>\n", |
||
| 6454 | " <th>pos_inc1_enc_0</th>\n", |
||
| 6455 | " <th>pos_inc2_enc_0</th>\n", |
||
| 6456 | " <th>pos_inc1_enc_1</th>\n", |
||
| 6457 | " <th>pos_inc2_enc_1</th>\n", |
||
| 6458 | " <th>pos_size_le</th>\n", |
||
| 6459 | " <th>pos_range</th>\n", |
||
| 6460 | " <th>pos_rel</th>\n", |
||
| 6461 | " <th>pos_zeros</th>\n", |
||
| 6462 | " <th>pos_inc_rng</th>\n", |
||
| 6463 | " <th>pos_zeros_le</th>\n", |
||
| 6464 | " <th>PxlMin_grp_le</th>\n", |
||
| 6465 | " <th>PxlMin_zero</th>\n", |
||
| 6466 | " <th>any</th>\n", |
||
| 6467 | " <th>epidural</th>\n", |
||
| 6468 | " <th>intraparenchymal</th>\n", |
||
| 6469 | " <th>intraventricular</th>\n", |
||
| 6470 | " <th>subarachnoid</th>\n", |
||
| 6471 | " <th>subdural</th>\n", |
||
| 6472 | " <th>any_series</th>\n", |
||
| 6473 | " <th>SeriesPP</th>\n", |
||
| 6474 | " <th>yuval_idx</th>\n", |
||
| 6475 | " <th>pred_any</th>\n", |
||
| 6476 | " </tr>\n", |
||
| 6477 | " </thead>\n", |
||
| 6478 | " <tbody>\n", |
||
| 6479 | " <tr>\n", |
||
| 6480 | " <td>12436</td>\n", |
||
| 6481 | " <td>68c2b8b03</td>\n", |
||
| 6482 | " <td>ID_68c2b8b03</td>\n", |
||
| 6483 | " <td>CT</td>\n", |
||
| 6484 | " <td>ID_db5b61c1</td>\n", |
||
| 6485 | " <td>ID_451abcb4a1</td>\n", |
||
| 6486 | " <td>ID_36778f2a4a</td>\n", |
||
| 6487 | " <td>NaN</td>\n", |
||
| 6488 | " <td>['-125.000', '-148.300', '135.250']</td>\n", |
||
| 6489 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 6490 | " <td>1</td>\n", |
||
| 6491 | " <td>MONOCHROME2</td>\n", |
||
| 6492 | " <td>512</td>\n", |
||
| 6493 | " <td>512</td>\n", |
||
| 6494 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 6495 | " <td>16</td>\n", |
||
| 6496 | " <td>16</td>\n", |
||
| 6497 | " <td>15</td>\n", |
||
| 6498 | " <td>1</td>\n", |
||
| 6499 | " <td>40</td>\n", |
||
| 6500 | " <td>150</td>\n", |
||
| 6501 | " <td>-1024.0</td>\n", |
||
| 6502 | " <td>1.0</td>\n", |
||
| 6503 | " <td>-0.064000</td>\n", |
||
| 6504 | " <td>-1.548000</td>\n", |
||
| 6505 | " <td>-1.402099</td>\n", |
||
| 6506 | " <td>-1.620352</td>\n", |
||
| 6507 | " <td>False</td>\n", |
||
| 6508 | " <td>True</td>\n", |
||
| 6509 | " <td>1.0</td>\n", |
||
| 6510 | " <td>0.0</td>\n", |
||
| 6511 | " <td>0.0</td>\n", |
||
| 6512 | " <td>0.0</td>\n", |
||
| 6513 | " <td>1.0</td>\n", |
||
| 6514 | " <td>0.0</td>\n", |
||
| 6515 | " <td>-125.0</td>\n", |
||
| 6516 | " <td>-148.3</td>\n", |
||
| 6517 | " <td>135.250000</td>\n", |
||
| 6518 | " <td>0.488281</td>\n", |
||
| 6519 | " <td>0.488281</td>\n", |
||
| 6520 | " <td>40.0</td>\n", |
||
| 6521 | " <td>NaN</td>\n", |
||
| 6522 | " <td>True</td>\n", |
||
| 6523 | " <td>150.0</td>\n", |
||
| 6524 | " <td>NaN</td>\n", |
||
| 6525 | " <td>1</td>\n", |
||
| 6526 | " <td>1</td>\n", |
||
| 6527 | " <td>3</td>\n", |
||
| 6528 | " <td>0</td>\n", |
||
| 6529 | " <td>-1.333333</td>\n", |
||
| 6530 | " <td>1.0</td>\n", |
||
| 6531 | " <td>...</td>\n", |
||
| 6532 | " <td>-0.666667</td>\n", |
||
| 6533 | " <td>1.0</td>\n", |
||
| 6534 | " <td>False</td>\n", |
||
| 6535 | " <td>-0.720000</td>\n", |
||
| 6536 | " <td>1.0</td>\n", |
||
| 6537 | " <td>0.0</td>\n", |
||
| 6538 | " <td>1.0</td>\n", |
||
| 6539 | " <td>1.0</td>\n", |
||
| 6540 | " <td>-1.110667</td>\n", |
||
| 6541 | " <td>0.0</td>\n", |
||
| 6542 | " <td>-0.045487</td>\n", |
||
| 6543 | " <td>0.0</td>\n", |
||
| 6544 | " <td>-0.480</td>\n", |
||
| 6545 | " <td>1.0</td>\n", |
||
| 6546 | " <td>False</td>\n", |
||
| 6547 | " <td>2</td>\n", |
||
| 6548 | " <td>0.5810</td>\n", |
||
| 6549 | " <td>-0.1190</td>\n", |
||
| 6550 | " <td>0.5</td>\n", |
||
| 6551 | " <td>1.355932</td>\n", |
||
| 6552 | " <td>37</td>\n", |
||
| 6553 | " <td>-1.016949</td>\n", |
||
| 6554 | " <td>-1.5</td>\n", |
||
| 6555 | " <td>-1.5</td>\n", |
||
| 6556 | " <td>3</td>\n", |
||
| 6557 | " <td>3</td>\n", |
||
| 6558 | " <td>1.0</td>\n", |
||
| 6559 | " <td>1.0</td>\n", |
||
| 6560 | " <td>0.0</td>\n", |
||
| 6561 | " <td>0.0</td>\n", |
||
| 6562 | " <td>1.0</td>\n", |
||
| 6563 | " <td>1.0</td>\n", |
||
| 6564 | " <td>1</td>\n", |
||
| 6565 | " <td>0.266667</td>\n", |
||
| 6566 | " <td>1.771429</td>\n", |
||
| 6567 | " <td>1.6</td>\n", |
||
| 6568 | " <td>-0.600000</td>\n", |
||
| 6569 | " <td>1</td>\n", |
||
| 6570 | " <td>1</td>\n", |
||
| 6571 | " <td>False</td>\n", |
||
| 6572 | " <td>NaN</td>\n", |
||
| 6573 | " <td>NaN</td>\n", |
||
| 6574 | " <td>NaN</td>\n", |
||
| 6575 | " <td>NaN</td>\n", |
||
| 6576 | " <td>NaN</td>\n", |
||
| 6577 | " <td>NaN</td>\n", |
||
| 6578 | " <td>False</td>\n", |
||
| 6579 | " <td>-0.5</td>\n", |
||
| 6580 | " <td>80726</td>\n", |
||
| 6581 | " <td>0.000082</td>\n", |
||
| 6582 | " </tr>\n", |
||
| 6583 | " <tr>\n", |
||
| 6584 | " <td>82308</td>\n", |
||
| 6585 | " <td>7f95e978e</td>\n", |
||
| 6586 | " <td>ID_7f95e978e</td>\n", |
||
| 6587 | " <td>CT</td>\n", |
||
| 6588 | " <td>ID_ae6fa62a</td>\n", |
||
| 6589 | " <td>ID_3a1815c27a</td>\n", |
||
| 6590 | " <td>ID_64db061397</td>\n", |
||
| 6591 | " <td>NaN</td>\n", |
||
| 6592 | " <td>['-108.000', '-116.300', '114.000']</td>\n", |
||
| 6593 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 6594 | " <td>1</td>\n", |
||
| 6595 | " <td>MONOCHROME2</td>\n", |
||
| 6596 | " <td>512</td>\n", |
||
| 6597 | " <td>512</td>\n", |
||
| 6598 | " <td>['0.421875', '0.421875']</td>\n", |
||
| 6599 | " <td>16</td>\n", |
||
| 6600 | " <td>16</td>\n", |
||
| 6601 | " <td>15</td>\n", |
||
| 6602 | " <td>1</td>\n", |
||
| 6603 | " <td>40</td>\n", |
||
| 6604 | " <td>100</td>\n", |
||
| 6605 | " <td>-1024.0</td>\n", |
||
| 6606 | " <td>1.0</td>\n", |
||
| 6607 | " <td>-0.064000</td>\n", |
||
| 6608 | " <td>-1.572000</td>\n", |
||
| 6609 | " <td>-1.392679</td>\n", |
||
| 6610 | " <td>-1.599246</td>\n", |
||
| 6611 | " <td>False</td>\n", |
||
| 6612 | " <td>True</td>\n", |
||
| 6613 | " <td>1.0</td>\n", |
||
| 6614 | " <td>0.0</td>\n", |
||
| 6615 | " <td>0.0</td>\n", |
||
| 6616 | " <td>0.0</td>\n", |
||
| 6617 | " <td>1.0</td>\n", |
||
| 6618 | " <td>0.0</td>\n", |
||
| 6619 | " <td>-108.0</td>\n", |
||
| 6620 | " <td>-116.3</td>\n", |
||
| 6621 | " <td>114.000000</td>\n", |
||
| 6622 | " <td>0.421875</td>\n", |
||
| 6623 | " <td>0.421875</td>\n", |
||
| 6624 | " <td>40.0</td>\n", |
||
| 6625 | " <td>NaN</td>\n", |
||
| 6626 | " <td>True</td>\n", |
||
| 6627 | " <td>100.0</td>\n", |
||
| 6628 | " <td>NaN</td>\n", |
||
| 6629 | " <td>2</td>\n", |
||
| 6630 | " <td>1</td>\n", |
||
| 6631 | " <td>3</td>\n", |
||
| 6632 | " <td>0</td>\n", |
||
| 6633 | " <td>-1.333333</td>\n", |
||
| 6634 | " <td>1.0</td>\n", |
||
| 6635 | " <td>...</td>\n", |
||
| 6636 | " <td>-0.666667</td>\n", |
||
| 6637 | " <td>1.0</td>\n", |
||
| 6638 | " <td>False</td>\n", |
||
| 6639 | " <td>1.733333</td>\n", |
||
| 6640 | " <td>0.0</td>\n", |
||
| 6641 | " <td>0.0</td>\n", |
||
| 6642 | " <td>1.0</td>\n", |
||
| 6643 | " <td>1.0</td>\n", |
||
| 6644 | " <td>-0.684000</td>\n", |
||
| 6645 | " <td>0.0</td>\n", |
||
| 6646 | " <td>-0.075931</td>\n", |
||
| 6647 | " <td>1.0</td>\n", |
||
| 6648 | " <td>1.295</td>\n", |
||
| 6649 | " <td>0.0</td>\n", |
||
| 6650 | " <td>False</td>\n", |
||
| 6651 | " <td>2</td>\n", |
||
| 6652 | " <td>0.4760</td>\n", |
||
| 6653 | " <td>-0.1840</td>\n", |
||
| 6654 | " <td>-0.1</td>\n", |
||
| 6655 | " <td>1.016949</td>\n", |
||
| 6656 | " <td>32</td>\n", |
||
| 6657 | " <td>-1.084746</td>\n", |
||
| 6658 | " <td>-1.5</td>\n", |
||
| 6659 | " <td>-1.5</td>\n", |
||
| 6660 | " <td>3</td>\n", |
||
| 6661 | " <td>3</td>\n", |
||
| 6662 | " <td>1.0</td>\n", |
||
| 6663 | " <td>1.0</td>\n", |
||
| 6664 | " <td>0.0</td>\n", |
||
| 6665 | " <td>0.0</td>\n", |
||
| 6666 | " <td>1.0</td>\n", |
||
| 6667 | " <td>1.0</td>\n", |
||
| 6668 | " <td>4</td>\n", |
||
| 6669 | " <td>0.000000</td>\n", |
||
| 6670 | " <td>1.878788</td>\n", |
||
| 6671 | " <td>0.0</td>\n", |
||
| 6672 | " <td>-0.600000</td>\n", |
||
| 6673 | " <td>0</td>\n", |
||
| 6674 | " <td>1</td>\n", |
||
| 6675 | " <td>False</td>\n", |
||
| 6676 | " <td>NaN</td>\n", |
||
| 6677 | " <td>NaN</td>\n", |
||
| 6678 | " <td>NaN</td>\n", |
||
| 6679 | " <td>NaN</td>\n", |
||
| 6680 | " <td>NaN</td>\n", |
||
| 6681 | " <td>NaN</td>\n", |
||
| 6682 | " <td>False</td>\n", |
||
| 6683 | " <td>-0.5</td>\n", |
||
| 6684 | " <td>68171</td>\n", |
||
| 6685 | " <td>0.000082</td>\n", |
||
| 6686 | " </tr>\n", |
||
| 6687 | " <tr>\n", |
||
| 6688 | " <td>60800</td>\n", |
||
| 6689 | " <td>84735b84a</td>\n", |
||
| 6690 | " <td>ID_84735b84a</td>\n", |
||
| 6691 | " <td>CT</td>\n", |
||
| 6692 | " <td>ID_ddcad7d4</td>\n", |
||
| 6693 | " <td>ID_d7e80c40be</td>\n", |
||
| 6694 | " <td>ID_11c94b7b33</td>\n", |
||
| 6695 | " <td>NaN</td>\n", |
||
| 6696 | " <td>['-155', '23', '138.699997']</td>\n", |
||
| 6697 | " <td>['1', '0', '0', '0', '1', '0']</td>\n", |
||
| 6698 | " <td>1</td>\n", |
||
| 6699 | " <td>MONOCHROME2</td>\n", |
||
| 6700 | " <td>512</td>\n", |
||
| 6701 | " <td>512</td>\n", |
||
| 6702 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 6703 | " <td>16</td>\n", |
||
| 6704 | " <td>12</td>\n", |
||
| 6705 | " <td>11</td>\n", |
||
| 6706 | " <td>0</td>\n", |
||
| 6707 | " <td>['00036', '00036']</td>\n", |
||
| 6708 | " <td>['00080', '00080']</td>\n", |
||
| 6709 | " <td>-1024.0</td>\n", |
||
| 6710 | " <td>1.0</td>\n", |
||
| 6711 | " <td>1.314667</td>\n", |
||
| 6712 | " <td>-1.914667</td>\n", |
||
| 6713 | " <td>-2.872322</td>\n", |
||
| 6714 | " <td>-0.693297</td>\n", |
||
| 6715 | " <td>False</td>\n", |
||
| 6716 | " <td>True</td>\n", |
||
| 6717 | " <td>1.0</td>\n", |
||
| 6718 | " <td>0.0</td>\n", |
||
| 6719 | " <td>0.0</td>\n", |
||
| 6720 | " <td>0.0</td>\n", |
||
| 6721 | " <td>1.0</td>\n", |
||
| 6722 | " <td>0.0</td>\n", |
||
| 6723 | " <td>-155.0</td>\n", |
||
| 6724 | " <td>23.0</td>\n", |
||
| 6725 | " <td>138.699997</td>\n", |
||
| 6726 | " <td>0.488281</td>\n", |
||
| 6727 | " <td>0.488281</td>\n", |
||
| 6728 | " <td>36.0</td>\n", |
||
| 6729 | " <td>36.0</td>\n", |
||
| 6730 | " <td>False</td>\n", |
||
| 6731 | " <td>80.0</td>\n", |
||
| 6732 | " <td>80.0</td>\n", |
||
| 6733 | " <td>0</td>\n", |
||
| 6734 | " <td>0</td>\n", |
||
| 6735 | " <td>0</td>\n", |
||
| 6736 | " <td>1</td>\n", |
||
| 6737 | " <td>-1.333333</td>\n", |
||
| 6738 | " <td>1.0</td>\n", |
||
| 6739 | " <td>...</td>\n", |
||
| 6740 | " <td>-0.666667</td>\n", |
||
| 6741 | " <td>1.0</td>\n", |
||
| 6742 | " <td>False</td>\n", |
||
| 6743 | " <td>0.480000</td>\n", |
||
| 6744 | " <td>0.0</td>\n", |
||
| 6745 | " <td>0.0</td>\n", |
||
| 6746 | " <td>1.0</td>\n", |
||
| 6747 | " <td>1.0</td>\n", |
||
| 6748 | " <td>1.173333</td>\n", |
||
| 6749 | " <td>1.0</td>\n", |
||
| 6750 | " <td>-0.040544</td>\n", |
||
| 6751 | " <td>0.0</td>\n", |
||
| 6752 | " <td>-0.480</td>\n", |
||
| 6753 | " <td>1.0</td>\n", |
||
| 6754 | " <td>False</td>\n", |
||
| 6755 | " <td>1</td>\n", |
||
| 6756 | " <td>0.5748</td>\n", |
||
| 6757 | " <td>-0.1252</td>\n", |
||
| 6758 | " <td>0.1</td>\n", |
||
| 6759 | " <td>1.152542</td>\n", |
||
| 6760 | " <td>34</td>\n", |
||
| 6761 | " <td>-1.084746</td>\n", |
||
| 6762 | " <td>-1.5</td>\n", |
||
| 6763 | " <td>-1.5</td>\n", |
||
| 6764 | " <td>3</td>\n", |
||
| 6765 | " <td>3</td>\n", |
||
| 6766 | " <td>1.0</td>\n", |
||
| 6767 | " <td>1.0</td>\n", |
||
| 6768 | " <td>0.0</td>\n", |
||
| 6769 | " <td>0.0</td>\n", |
||
| 6770 | " <td>1.0</td>\n", |
||
| 6771 | " <td>1.0</td>\n", |
||
| 6772 | " <td>2</td>\n", |
||
| 6773 | " <td>0.266666</td>\n", |
||
| 6774 | " <td>1.885714</td>\n", |
||
| 6775 | " <td>0.0</td>\n", |
||
| 6776 | " <td>-0.599994</td>\n", |
||
| 6777 | " <td>0</td>\n", |
||
| 6778 | " <td>2</td>\n", |
||
| 6779 | " <td>False</td>\n", |
||
| 6780 | " <td>NaN</td>\n", |
||
| 6781 | " <td>NaN</td>\n", |
||
| 6782 | " <td>NaN</td>\n", |
||
| 6783 | " <td>NaN</td>\n", |
||
| 6784 | " <td>NaN</td>\n", |
||
| 6785 | " <td>NaN</td>\n", |
||
| 6786 | " <td>False</td>\n", |
||
| 6787 | " <td>-0.5</td>\n", |
||
| 6788 | " <td>27981</td>\n", |
||
| 6789 | " <td>0.000083</td>\n", |
||
| 6790 | " </tr>\n", |
||
| 6791 | " <tr>\n", |
||
| 6792 | " <td>102453</td>\n", |
||
| 6793 | " <td>d6a5e0432</td>\n", |
||
| 6794 | " <td>ID_d6a5e0432</td>\n", |
||
| 6795 | " <td>CT</td>\n", |
||
| 6796 | " <td>ID_73887cfd</td>\n", |
||
| 6797 | " <td>ID_4cc0b3574d</td>\n", |
||
| 6798 | " <td>ID_bd88957d37</td>\n", |
||
| 6799 | " <td>NaN</td>\n", |
||
| 6800 | " <td>['-125.000', '-131.700', '105.000']</td>\n", |
||
| 6801 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 6802 | " <td>1</td>\n", |
||
| 6803 | " <td>MONOCHROME2</td>\n", |
||
| 6804 | " <td>512</td>\n", |
||
| 6805 | " <td>512</td>\n", |
||
| 6806 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 6807 | " <td>16</td>\n", |
||
| 6808 | " <td>16</td>\n", |
||
| 6809 | " <td>15</td>\n", |
||
| 6810 | " <td>1</td>\n", |
||
| 6811 | " <td>40</td>\n", |
||
| 6812 | " <td>150</td>\n", |
||
| 6813 | " <td>-1024.0</td>\n", |
||
| 6814 | " <td>1.0</td>\n", |
||
| 6815 | " <td>-0.064000</td>\n", |
||
| 6816 | " <td>-1.558667</td>\n", |
||
| 6817 | " <td>-1.401150</td>\n", |
||
| 6818 | " <td>-1.616006</td>\n", |
||
| 6819 | " <td>False</td>\n", |
||
| 6820 | " <td>True</td>\n", |
||
| 6821 | " <td>1.0</td>\n", |
||
| 6822 | " <td>0.0</td>\n", |
||
| 6823 | " <td>0.0</td>\n", |
||
| 6824 | " <td>0.0</td>\n", |
||
| 6825 | " <td>1.0</td>\n", |
||
| 6826 | " <td>0.0</td>\n", |
||
| 6827 | " <td>-125.0</td>\n", |
||
| 6828 | " <td>-131.7</td>\n", |
||
| 6829 | " <td>105.000000</td>\n", |
||
| 6830 | " <td>0.488281</td>\n", |
||
| 6831 | " <td>0.488281</td>\n", |
||
| 6832 | " <td>40.0</td>\n", |
||
| 6833 | " <td>NaN</td>\n", |
||
| 6834 | " <td>True</td>\n", |
||
| 6835 | " <td>150.0</td>\n", |
||
| 6836 | " <td>NaN</td>\n", |
||
| 6837 | " <td>1</td>\n", |
||
| 6838 | " <td>1</td>\n", |
||
| 6839 | " <td>3</td>\n", |
||
| 6840 | " <td>0</td>\n", |
||
| 6841 | " <td>-1.333333</td>\n", |
||
| 6842 | " <td>1.0</td>\n", |
||
| 6843 | " <td>...</td>\n", |
||
| 6844 | " <td>-0.666667</td>\n", |
||
| 6845 | " <td>1.0</td>\n", |
||
| 6846 | " <td>False</td>\n", |
||
| 6847 | " <td>-0.720000</td>\n", |
||
| 6848 | " <td>1.0</td>\n", |
||
| 6849 | " <td>0.0</td>\n", |
||
| 6850 | " <td>1.0</td>\n", |
||
| 6851 | " <td>1.0</td>\n", |
||
| 6852 | " <td>-0.889333</td>\n", |
||
| 6853 | " <td>0.0</td>\n", |
||
| 6854 | " <td>-0.088825</td>\n", |
||
| 6855 | " <td>1.0</td>\n", |
||
| 6856 | " <td>-0.480</td>\n", |
||
| 6857 | " <td>1.0</td>\n", |
||
| 6858 | " <td>False</td>\n", |
||
| 6859 | " <td>2</td>\n", |
||
| 6860 | " <td>0.4400</td>\n", |
||
| 6861 | " <td>-0.1800</td>\n", |
||
| 6862 | " <td>-0.3</td>\n", |
||
| 6863 | " <td>0.881356</td>\n", |
||
| 6864 | " <td>30</td>\n", |
||
| 6865 | " <td>-1.084746</td>\n", |
||
| 6866 | " <td>-1.5</td>\n", |
||
| 6867 | " <td>-1.5</td>\n", |
||
| 6868 | " <td>3</td>\n", |
||
| 6869 | " <td>3</td>\n", |
||
| 6870 | " <td>1.0</td>\n", |
||
| 6871 | " <td>1.0</td>\n", |
||
| 6872 | " <td>0.0</td>\n", |
||
| 6873 | " <td>0.0</td>\n", |
||
| 6874 | " <td>1.0</td>\n", |
||
| 6875 | " <td>1.0</td>\n", |
||
| 6876 | " <td>0</td>\n", |
||
| 6877 | " <td>-0.266667</td>\n", |
||
| 6878 | " <td>1.870968</td>\n", |
||
| 6879 | " <td>0.0</td>\n", |
||
| 6880 | " <td>-0.600000</td>\n", |
||
| 6881 | " <td>0</td>\n", |
||
| 6882 | " <td>1</td>\n", |
||
| 6883 | " <td>False</td>\n", |
||
| 6884 | " <td>NaN</td>\n", |
||
| 6885 | " <td>NaN</td>\n", |
||
| 6886 | " <td>NaN</td>\n", |
||
| 6887 | " <td>NaN</td>\n", |
||
| 6888 | " <td>NaN</td>\n", |
||
| 6889 | " <td>NaN</td>\n", |
||
| 6890 | " <td>False</td>\n", |
||
| 6891 | " <td>-0.5</td>\n", |
||
| 6892 | " <td>90163</td>\n", |
||
| 6893 | " <td>0.000085</td>\n", |
||
| 6894 | " </tr>\n", |
||
| 6895 | " <tr>\n", |
||
| 6896 | " <td>10097</td>\n", |
||
| 6897 | " <td>6df94672e</td>\n", |
||
| 6898 | " <td>ID_6df94672e</td>\n", |
||
| 6899 | " <td>CT</td>\n", |
||
| 6900 | " <td>ID_39c82642</td>\n", |
||
| 6901 | " <td>ID_9f4b3b7a4d</td>\n", |
||
| 6902 | " <td>ID_81c1365f46</td>\n", |
||
| 6903 | " <td>NaN</td>\n", |
||
| 6904 | " <td>['-125', '18', '-120.099976']</td>\n", |
||
| 6905 | " <td>['1', '0', '0', '0', '1', '0']</td>\n", |
||
| 6906 | " <td>1</td>\n", |
||
| 6907 | " <td>MONOCHROME2</td>\n", |
||
| 6908 | " <td>512</td>\n", |
||
| 6909 | " <td>512</td>\n", |
||
| 6910 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 6911 | " <td>16</td>\n", |
||
| 6912 | " <td>12</td>\n", |
||
| 6913 | " <td>11</td>\n", |
||
| 6914 | " <td>0</td>\n", |
||
| 6915 | " <td>['00036', '00036']</td>\n", |
||
| 6916 | " <td>['00080', '00080']</td>\n", |
||
| 6917 | " <td>-1024.0</td>\n", |
||
| 6918 | " <td>1.0</td>\n", |
||
| 6919 | " <td>1.301333</td>\n", |
||
| 6920 | " <td>0.108000</td>\n", |
||
| 6921 | " <td>-2.544276</td>\n", |
||
| 6922 | " <td>-0.594726</td>\n", |
||
| 6923 | " <td>False</td>\n", |
||
| 6924 | " <td>True</td>\n", |
||
| 6925 | " <td>1.0</td>\n", |
||
| 6926 | " <td>0.0</td>\n", |
||
| 6927 | " <td>0.0</td>\n", |
||
| 6928 | " <td>0.0</td>\n", |
||
| 6929 | " <td>1.0</td>\n", |
||
| 6930 | " <td>0.0</td>\n", |
||
| 6931 | " <td>-125.0</td>\n", |
||
| 6932 | " <td>18.0</td>\n", |
||
| 6933 | " <td>-120.099976</td>\n", |
||
| 6934 | " <td>0.488281</td>\n", |
||
| 6935 | " <td>0.488281</td>\n", |
||
| 6936 | " <td>36.0</td>\n", |
||
| 6937 | " <td>36.0</td>\n", |
||
| 6938 | " <td>False</td>\n", |
||
| 6939 | " <td>80.0</td>\n", |
||
| 6940 | " <td>80.0</td>\n", |
||
| 6941 | " <td>0</td>\n", |
||
| 6942 | " <td>0</td>\n", |
||
| 6943 | " <td>0</td>\n", |
||
| 6944 | " <td>1</td>\n", |
||
| 6945 | " <td>-1.333333</td>\n", |
||
| 6946 | " <td>1.0</td>\n", |
||
| 6947 | " <td>...</td>\n", |
||
| 6948 | " <td>-0.666667</td>\n", |
||
| 6949 | " <td>1.0</td>\n", |
||
| 6950 | " <td>False</td>\n", |
||
| 6951 | " <td>-0.720000</td>\n", |
||
| 6952 | " <td>1.0</td>\n", |
||
| 6953 | " <td>0.0</td>\n", |
||
| 6954 | " <td>1.0</td>\n", |
||
| 6955 | " <td>1.0</td>\n", |
||
| 6956 | " <td>1.106667</td>\n", |
||
| 6957 | " <td>1.0</td>\n", |
||
| 6958 | " <td>-0.411318</td>\n", |
||
| 6959 | " <td>0.0</td>\n", |
||
| 6960 | " <td>-0.480</td>\n", |
||
| 6961 | " <td>1.0</td>\n", |
||
| 6962 | " <td>False</td>\n", |
||
| 6963 | " <td>1</td>\n", |
||
| 6964 | " <td>-0.4404</td>\n", |
||
| 6965 | " <td>-1.4004</td>\n", |
||
| 6966 | " <td>1.4</td>\n", |
||
| 6967 | " <td>1.966102</td>\n", |
||
| 6968 | " <td>46</td>\n", |
||
| 6969 | " <td>-1.016949</td>\n", |
||
| 6970 | " <td>-1.5</td>\n", |
||
| 6971 | " <td>-1.5</td>\n", |
||
| 6972 | " <td>3</td>\n", |
||
| 6973 | " <td>3</td>\n", |
||
| 6974 | " <td>1.0</td>\n", |
||
| 6975 | " <td>1.0</td>\n", |
||
| 6976 | " <td>0.0</td>\n", |
||
| 6977 | " <td>0.0</td>\n", |
||
| 6978 | " <td>1.0</td>\n", |
||
| 6979 | " <td>1.0</td>\n", |
||
| 6980 | " <td>10</td>\n", |
||
| 6981 | " <td>2.000000</td>\n", |
||
| 6982 | " <td>1.833333</td>\n", |
||
| 6983 | " <td>0.0</td>\n", |
||
| 6984 | " <td>-0.600000</td>\n", |
||
| 6985 | " <td>0</td>\n", |
||
| 6986 | " <td>2</td>\n", |
||
| 6987 | " <td>False</td>\n", |
||
| 6988 | " <td>NaN</td>\n", |
||
| 6989 | " <td>NaN</td>\n", |
||
| 6990 | " <td>NaN</td>\n", |
||
| 6991 | " <td>NaN</td>\n", |
||
| 6992 | " <td>NaN</td>\n", |
||
| 6993 | " <td>NaN</td>\n", |
||
| 6994 | " <td>False</td>\n", |
||
| 6995 | " <td>-0.5</td>\n", |
||
| 6996 | " <td>14678</td>\n", |
||
| 6997 | " <td>0.000086</td>\n", |
||
| 6998 | " </tr>\n", |
||
| 6999 | " </tbody>\n", |
||
| 7000 | "</table>\n", |
||
| 7001 | "<p>5 rows × 101 columns</p>\n", |
||
| 7002 | "</div>" |
||
| 7003 | ], |
||
| 7004 | "text/plain": [ |
||
| 7005 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 7006 | "12436 68c2b8b03 ID_68c2b8b03 CT ID_db5b61c1 ID_451abcb4a1 \n", |
||
| 7007 | "82308 7f95e978e ID_7f95e978e CT ID_ae6fa62a ID_3a1815c27a \n", |
||
| 7008 | "60800 84735b84a ID_84735b84a CT ID_ddcad7d4 ID_d7e80c40be \n", |
||
| 7009 | "102453 d6a5e0432 ID_d6a5e0432 CT ID_73887cfd ID_4cc0b3574d \n", |
||
| 7010 | "10097 6df94672e ID_6df94672e CT ID_39c82642 ID_9f4b3b7a4d \n", |
||
| 7011 | "\n", |
||
| 7012 | " SeriesInstanceUID StudyID ImagePositionPatient \\\n", |
||
| 7013 | "12436 ID_36778f2a4a NaN ['-125.000', '-148.300', '135.250'] \n", |
||
| 7014 | "82308 ID_64db061397 NaN ['-108.000', '-116.300', '114.000'] \n", |
||
| 7015 | "60800 ID_11c94b7b33 NaN ['-155', '23', '138.699997'] \n", |
||
| 7016 | "102453 ID_bd88957d37 NaN ['-125.000', '-131.700', '105.000'] \n", |
||
| 7017 | "10097 ID_81c1365f46 NaN ['-125', '18', '-120.099976'] \n", |
||
| 7018 | "\n", |
||
| 7019 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 7020 | "12436 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 7021 | "82308 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 7022 | "60800 ['1', '0', '0', '0', '1', '0'] 1 \n", |
||
| 7023 | "102453 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 7024 | "10097 ['1', '0', '0', '0', '1', '0'] 1 \n", |
||
| 7025 | "\n", |
||
| 7026 | " PhotometricInterpretation Rows Columns PixelSpacing \\\n", |
||
| 7027 | "12436 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 7028 | "82308 MONOCHROME2 512 512 ['0.421875', '0.421875'] \n", |
||
| 7029 | "60800 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 7030 | "102453 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 7031 | "10097 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 7032 | "\n", |
||
| 7033 | " BitsAllocated BitsStored HighBit PixelRepresentation \\\n", |
||
| 7034 | "12436 16 16 15 1 \n", |
||
| 7035 | "82308 16 16 15 1 \n", |
||
| 7036 | "60800 16 12 11 0 \n", |
||
| 7037 | "102453 16 16 15 1 \n", |
||
| 7038 | "10097 16 12 11 0 \n", |
||
| 7039 | "\n", |
||
| 7040 | " WindowCenter WindowWidth RescaleIntercept \\\n", |
||
| 7041 | "12436 40 150 -1024.0 \n", |
||
| 7042 | "82308 40 100 -1024.0 \n", |
||
| 7043 | "60800 ['00036', '00036'] ['00080', '00080'] -1024.0 \n", |
||
| 7044 | "102453 40 150 -1024.0 \n", |
||
| 7045 | "10097 ['00036', '00036'] ['00080', '00080'] -1024.0 \n", |
||
| 7046 | "\n", |
||
| 7047 | " RescaleSlope PxlMin PxlMax PxlStd PxlMean test test2 \\\n", |
||
| 7048 | "12436 1.0 -0.064000 -1.548000 -1.402099 -1.620352 False True \n", |
||
| 7049 | "82308 1.0 -0.064000 -1.572000 -1.392679 -1.599246 False True \n", |
||
| 7050 | "60800 1.0 1.314667 -1.914667 -2.872322 -0.693297 False True \n", |
||
| 7051 | "102453 1.0 -0.064000 -1.558667 -1.401150 -1.616006 False True \n", |
||
| 7052 | "10097 1.0 1.301333 0.108000 -2.544276 -0.594726 False True \n", |
||
| 7053 | "\n", |
||
| 7054 | " ImageOrientationPatient_0 ImageOrientationPatient_1 \\\n", |
||
| 7055 | "12436 1.0 0.0 \n", |
||
| 7056 | "82308 1.0 0.0 \n", |
||
| 7057 | "60800 1.0 0.0 \n", |
||
| 7058 | "102453 1.0 0.0 \n", |
||
| 7059 | "10097 1.0 0.0 \n", |
||
| 7060 | "\n", |
||
| 7061 | " ImageOrientationPatient_2 ImageOrientationPatient_3 \\\n", |
||
| 7062 | "12436 0.0 0.0 \n", |
||
| 7063 | "82308 0.0 0.0 \n", |
||
| 7064 | "60800 0.0 0.0 \n", |
||
| 7065 | "102453 0.0 0.0 \n", |
||
| 7066 | "10097 0.0 0.0 \n", |
||
| 7067 | "\n", |
||
| 7068 | " ImageOrientationPatient_4 ImageOrientationPatient_5 \\\n", |
||
| 7069 | "12436 1.0 0.0 \n", |
||
| 7070 | "82308 1.0 0.0 \n", |
||
| 7071 | "60800 1.0 0.0 \n", |
||
| 7072 | "102453 1.0 0.0 \n", |
||
| 7073 | "10097 1.0 0.0 \n", |
||
| 7074 | "\n", |
||
| 7075 | " ImagePositionPatient_0 ImagePositionPatient_1 \\\n", |
||
| 7076 | "12436 -125.0 -148.3 \n", |
||
| 7077 | "82308 -108.0 -116.3 \n", |
||
| 7078 | "60800 -155.0 23.0 \n", |
||
| 7079 | "102453 -125.0 -131.7 \n", |
||
| 7080 | "10097 -125.0 18.0 \n", |
||
| 7081 | "\n", |
||
| 7082 | " ImagePositionPatient_2 PixelSpacing_0 PixelSpacing_1 \\\n", |
||
| 7083 | "12436 135.250000 0.488281 0.488281 \n", |
||
| 7084 | "82308 114.000000 0.421875 0.421875 \n", |
||
| 7085 | "60800 138.699997 0.488281 0.488281 \n", |
||
| 7086 | "102453 105.000000 0.488281 0.488281 \n", |
||
| 7087 | "10097 -120.099976 0.488281 0.488281 \n", |
||
| 7088 | "\n", |
||
| 7089 | " WindowCenter_0 WindowCenter_1 WindowCenter_1_NAN WindowWidth_0 \\\n", |
||
| 7090 | "12436 40.0 NaN True 150.0 \n", |
||
| 7091 | "82308 40.0 NaN True 100.0 \n", |
||
| 7092 | "60800 36.0 36.0 False 80.0 \n", |
||
| 7093 | "102453 40.0 NaN True 150.0 \n", |
||
| 7094 | "10097 36.0 36.0 False 80.0 \n", |
||
| 7095 | "\n", |
||
| 7096 | " WindowWidth_1 WindowWidth_0_le WindowWidth_1_le WindowCenter_1_le \\\n", |
||
| 7097 | "12436 NaN 1 1 3 \n", |
||
| 7098 | "82308 NaN 2 1 3 \n", |
||
| 7099 | "60800 80.0 0 0 0 \n", |
||
| 7100 | "102453 NaN 1 1 3 \n", |
||
| 7101 | "10097 80.0 0 0 0 \n", |
||
| 7102 | "\n", |
||
| 7103 | " BitType_le ImageOrientationPatient_4_f \\\n", |
||
| 7104 | "12436 0 -1.333333 \n", |
||
| 7105 | "82308 0 -1.333333 \n", |
||
| 7106 | "60800 1 -1.333333 \n", |
||
| 7107 | "102453 0 -1.333333 \n", |
||
| 7108 | "10097 1 -1.333333 \n", |
||
| 7109 | "\n", |
||
| 7110 | " ImageOrientationPatient_4_enc_0 ... ImageOrientationPatient_5_f \\\n", |
||
| 7111 | "12436 1.0 ... -0.666667 \n", |
||
| 7112 | "82308 1.0 ... -0.666667 \n", |
||
| 7113 | "60800 1.0 ... -0.666667 \n", |
||
| 7114 | "102453 1.0 ... -0.666667 \n", |
||
| 7115 | "10097 1.0 ... -0.666667 \n", |
||
| 7116 | "\n", |
||
| 7117 | " ImageOrientationPatient_5_enc_0 ImageOrientationPatient_5_enc_1 \\\n", |
||
| 7118 | "12436 1.0 False \n", |
||
| 7119 | "82308 1.0 False \n", |
||
| 7120 | "60800 1.0 False \n", |
||
| 7121 | "102453 1.0 False \n", |
||
| 7122 | "10097 1.0 False \n", |
||
| 7123 | "\n", |
||
| 7124 | " ImagePositionPatient_0_f ImagePositionPatient_0_enc_0 \\\n", |
||
| 7125 | "12436 -0.720000 1.0 \n", |
||
| 7126 | "82308 1.733333 0.0 \n", |
||
| 7127 | "60800 0.480000 0.0 \n", |
||
| 7128 | "102453 -0.720000 1.0 \n", |
||
| 7129 | "10097 -0.720000 1.0 \n", |
||
| 7130 | "\n", |
||
| 7131 | " ImagePositionPatient_0_enc_1 ImagePositionPatient_0_f_r1 \\\n", |
||
| 7132 | "12436 0.0 1.0 \n", |
||
| 7133 | "82308 0.0 1.0 \n", |
||
| 7134 | "60800 0.0 1.0 \n", |
||
| 7135 | "102453 0.0 1.0 \n", |
||
| 7136 | "10097 0.0 1.0 \n", |
||
| 7137 | "\n", |
||
| 7138 | " ImagePositionPatient_0_f_r05 ImagePositionPatient_1_f \\\n", |
||
| 7139 | "12436 1.0 -1.110667 \n", |
||
| 7140 | "82308 1.0 -0.684000 \n", |
||
| 7141 | "60800 1.0 1.173333 \n", |
||
| 7142 | "102453 1.0 -0.889333 \n", |
||
| 7143 | "10097 1.0 1.106667 \n", |
||
| 7144 | "\n", |
||
| 7145 | " ImagePositionPatient_1_enc_0 ImagePositionPatient_2_f \\\n", |
||
| 7146 | "12436 0.0 -0.045487 \n", |
||
| 7147 | "82308 0.0 -0.075931 \n", |
||
| 7148 | "60800 1.0 -0.040544 \n", |
||
| 7149 | "102453 0.0 -0.088825 \n", |
||
| 7150 | "10097 1.0 -0.411318 \n", |
||
| 7151 | "\n", |
||
| 7152 | " ImagePositionPatient_2_f_r05 PixelSpacing_1_f PixelSpacing_1_enc_0 \\\n", |
||
| 7153 | "12436 0.0 -0.480 1.0 \n", |
||
| 7154 | "82308 1.0 1.295 0.0 \n", |
||
| 7155 | "60800 0.0 -0.480 1.0 \n", |
||
| 7156 | "102453 1.0 -0.480 1.0 \n", |
||
| 7157 | "10097 0.0 -0.480 1.0 \n", |
||
| 7158 | "\n", |
||
| 7159 | " PixelSpacing_1_enc_1 WindowCenter_0_le pos_max pos_min pos_size \\\n", |
||
| 7160 | "12436 False 2 0.5810 -0.1190 0.5 \n", |
||
| 7161 | "82308 False 2 0.4760 -0.1840 -0.1 \n", |
||
| 7162 | "60800 False 1 0.5748 -0.1252 0.1 \n", |
||
| 7163 | "102453 False 2 0.4400 -0.1800 -0.3 \n", |
||
| 7164 | "10097 False 1 -0.4404 -1.4004 1.4 \n", |
||
| 7165 | "\n", |
||
| 7166 | " pos_idx1 pos_idx pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le \\\n", |
||
| 7167 | "12436 1.355932 37 -1.016949 -1.5 -1.5 3 \n", |
||
| 7168 | "82308 1.016949 32 -1.084746 -1.5 -1.5 3 \n", |
||
| 7169 | "60800 1.152542 34 -1.084746 -1.5 -1.5 3 \n", |
||
| 7170 | "102453 0.881356 30 -1.084746 -1.5 -1.5 3 \n", |
||
| 7171 | "10097 1.966102 46 -1.016949 -1.5 -1.5 3 \n", |
||
| 7172 | "\n", |
||
| 7173 | " pos_inc2_grp_le pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 \\\n", |
||
| 7174 | "12436 3 1.0 1.0 0.0 \n", |
||
| 7175 | "82308 3 1.0 1.0 0.0 \n", |
||
| 7176 | "60800 3 1.0 1.0 0.0 \n", |
||
| 7177 | "102453 3 1.0 1.0 0.0 \n", |
||
| 7178 | "10097 3 1.0 1.0 0.0 \n", |
||
| 7179 | "\n", |
||
| 7180 | " pos_inc2_enc_0 pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le \\\n", |
||
| 7181 | "12436 0.0 1.0 1.0 1 \n", |
||
| 7182 | "82308 0.0 1.0 1.0 4 \n", |
||
| 7183 | "60800 0.0 1.0 1.0 2 \n", |
||
| 7184 | "102453 0.0 1.0 1.0 0 \n", |
||
| 7185 | "10097 0.0 1.0 1.0 10 \n", |
||
| 7186 | "\n", |
||
| 7187 | " pos_range pos_rel pos_zeros pos_inc_rng pos_zeros_le \\\n", |
||
| 7188 | "12436 0.266667 1.771429 1.6 -0.600000 1 \n", |
||
| 7189 | "82308 0.000000 1.878788 0.0 -0.600000 0 \n", |
||
| 7190 | "60800 0.266666 1.885714 0.0 -0.599994 0 \n", |
||
| 7191 | "102453 -0.266667 1.870968 0.0 -0.600000 0 \n", |
||
| 7192 | "10097 2.000000 1.833333 0.0 -0.600000 0 \n", |
||
| 7193 | "\n", |
||
| 7194 | " PxlMin_grp_le PxlMin_zero any epidural intraparenchymal \\\n", |
||
| 7195 | "12436 1 False NaN NaN NaN \n", |
||
| 7196 | "82308 1 False NaN NaN NaN \n", |
||
| 7197 | "60800 2 False NaN NaN NaN \n", |
||
| 7198 | "102453 1 False NaN NaN NaN \n", |
||
| 7199 | "10097 2 False NaN NaN NaN \n", |
||
| 7200 | "\n", |
||
| 7201 | " intraventricular subarachnoid subdural any_series SeriesPP \\\n", |
||
| 7202 | "12436 NaN NaN NaN False -0.5 \n", |
||
| 7203 | "82308 NaN NaN NaN False -0.5 \n", |
||
| 7204 | "60800 NaN NaN NaN False -0.5 \n", |
||
| 7205 | "102453 NaN NaN NaN False -0.5 \n", |
||
| 7206 | "10097 NaN NaN NaN False -0.5 \n", |
||
| 7207 | "\n", |
||
| 7208 | " yuval_idx pred_any \n", |
||
| 7209 | "12436 80726 0.000082 \n", |
||
| 7210 | "82308 68171 0.000082 \n", |
||
| 7211 | "60800 27981 0.000083 \n", |
||
| 7212 | "102453 90163 0.000085 \n", |
||
| 7213 | "10097 14678 0.000086 \n", |
||
| 7214 | "\n", |
||
| 7215 | "[5 rows x 101 columns]" |
||
| 7216 | ] |
||
| 7217 | }, |
||
| 7218 | "execution_count": 62, |
||
| 7219 | "metadata": {}, |
||
| 7220 | "output_type": "execute_result" |
||
| 7221 | } |
||
| 7222 | ], |
||
| 7223 | "source": [ |
||
| 7224 | "test_md.sort_values('pred_any').head()" |
||
| 7225 | ] |
||
| 7226 | }, |
||
| 7227 | { |
||
| 7228 | "cell_type": "code", |
||
| 7229 | "execution_count": 63, |
||
| 7230 | "metadata": {}, |
||
| 7231 | "outputs": [ |
||
| 7232 | { |
||
| 7233 | "data": { |
||
| 7234 | "text/html": [ |
||
| 7235 | "<div>\n", |
||
| 7236 | "<style scoped>\n", |
||
| 7237 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 7238 | " vertical-align: middle;\n", |
||
| 7239 | " }\n", |
||
| 7240 | "\n", |
||
| 7241 | " .dataframe tbody tr th {\n", |
||
| 7242 | " vertical-align: top;\n", |
||
| 7243 | " }\n", |
||
| 7244 | "\n", |
||
| 7245 | " .dataframe thead th {\n", |
||
| 7246 | " text-align: right;\n", |
||
| 7247 | " }\n", |
||
| 7248 | "</style>\n", |
||
| 7249 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 7250 | " <thead>\n", |
||
| 7251 | " <tr style=\"text-align: right;\">\n", |
||
| 7252 | " <th></th>\n", |
||
| 7253 | " <th>img_id</th>\n", |
||
| 7254 | " <th>SOPInstanceUID</th>\n", |
||
| 7255 | " <th>Modality</th>\n", |
||
| 7256 | " <th>PatientID</th>\n", |
||
| 7257 | " <th>StudyInstanceUID</th>\n", |
||
| 7258 | " <th>SeriesInstanceUID</th>\n", |
||
| 7259 | " <th>StudyID</th>\n", |
||
| 7260 | " <th>ImagePositionPatient</th>\n", |
||
| 7261 | " <th>ImageOrientationPatient</th>\n", |
||
| 7262 | " <th>SamplesPerPixel</th>\n", |
||
| 7263 | " <th>PhotometricInterpretation</th>\n", |
||
| 7264 | " <th>Rows</th>\n", |
||
| 7265 | " <th>Columns</th>\n", |
||
| 7266 | " <th>PixelSpacing</th>\n", |
||
| 7267 | " <th>BitsAllocated</th>\n", |
||
| 7268 | " <th>BitsStored</th>\n", |
||
| 7269 | " <th>HighBit</th>\n", |
||
| 7270 | " <th>PixelRepresentation</th>\n", |
||
| 7271 | " <th>WindowCenter</th>\n", |
||
| 7272 | " <th>WindowWidth</th>\n", |
||
| 7273 | " <th>RescaleIntercept</th>\n", |
||
| 7274 | " <th>RescaleSlope</th>\n", |
||
| 7275 | " <th>PxlMin</th>\n", |
||
| 7276 | " <th>PxlMax</th>\n", |
||
| 7277 | " <th>PxlStd</th>\n", |
||
| 7278 | " <th>PxlMean</th>\n", |
||
| 7279 | " <th>test</th>\n", |
||
| 7280 | " <th>test2</th>\n", |
||
| 7281 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 7282 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 7283 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 7284 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 7285 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 7286 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 7287 | " <th>ImagePositionPatient_0</th>\n", |
||
| 7288 | " <th>ImagePositionPatient_1</th>\n", |
||
| 7289 | " <th>ImagePositionPatient_2</th>\n", |
||
| 7290 | " <th>PixelSpacing_0</th>\n", |
||
| 7291 | " <th>PixelSpacing_1</th>\n", |
||
| 7292 | " <th>WindowCenter_0</th>\n", |
||
| 7293 | " <th>WindowCenter_1</th>\n", |
||
| 7294 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 7295 | " <th>WindowWidth_0</th>\n", |
||
| 7296 | " <th>WindowWidth_1</th>\n", |
||
| 7297 | " <th>WindowWidth_0_le</th>\n", |
||
| 7298 | " <th>WindowWidth_1_le</th>\n", |
||
| 7299 | " <th>WindowCenter_1_le</th>\n", |
||
| 7300 | " <th>BitType_le</th>\n", |
||
| 7301 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 7302 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 7303 | " <th>...</th>\n", |
||
| 7304 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 7305 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 7306 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 7307 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 7308 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 7309 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 7310 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 7311 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 7312 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 7313 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 7314 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 7315 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 7316 | " <th>PixelSpacing_1_f</th>\n", |
||
| 7317 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 7318 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 7319 | " <th>WindowCenter_0_le</th>\n", |
||
| 7320 | " <th>pos_max</th>\n", |
||
| 7321 | " <th>pos_min</th>\n", |
||
| 7322 | " <th>pos_size</th>\n", |
||
| 7323 | " <th>pos_idx1</th>\n", |
||
| 7324 | " <th>pos_idx</th>\n", |
||
| 7325 | " <th>pos_idx2</th>\n", |
||
| 7326 | " <th>pos_inc1</th>\n", |
||
| 7327 | " <th>pos_inc2</th>\n", |
||
| 7328 | " <th>pos_inc1_grp_le</th>\n", |
||
| 7329 | " <th>pos_inc2_grp_le</th>\n", |
||
| 7330 | " <th>pos_inc1_r1</th>\n", |
||
| 7331 | " <th>pos_inc1_r0001</th>\n", |
||
| 7332 | " <th>pos_inc1_enc_0</th>\n", |
||
| 7333 | " <th>pos_inc2_enc_0</th>\n", |
||
| 7334 | " <th>pos_inc1_enc_1</th>\n", |
||
| 7335 | " <th>pos_inc2_enc_1</th>\n", |
||
| 7336 | " <th>pos_size_le</th>\n", |
||
| 7337 | " <th>pos_range</th>\n", |
||
| 7338 | " <th>pos_rel</th>\n", |
||
| 7339 | " <th>pos_zeros</th>\n", |
||
| 7340 | " <th>pos_inc_rng</th>\n", |
||
| 7341 | " <th>pos_zeros_le</th>\n", |
||
| 7342 | " <th>PxlMin_grp_le</th>\n", |
||
| 7343 | " <th>PxlMin_zero</th>\n", |
||
| 7344 | " <th>any</th>\n", |
||
| 7345 | " <th>epidural</th>\n", |
||
| 7346 | " <th>intraparenchymal</th>\n", |
||
| 7347 | " <th>intraventricular</th>\n", |
||
| 7348 | " <th>subarachnoid</th>\n", |
||
| 7349 | " <th>subdural</th>\n", |
||
| 7350 | " <th>any_series</th>\n", |
||
| 7351 | " <th>SeriesPP</th>\n", |
||
| 7352 | " <th>yuval_idx</th>\n", |
||
| 7353 | " <th>pred_any</th>\n", |
||
| 7354 | " </tr>\n", |
||
| 7355 | " </thead>\n", |
||
| 7356 | " <tbody>\n", |
||
| 7357 | " <tr>\n", |
||
| 7358 | " <td>100029</td>\n", |
||
| 7359 | " <td>d3bd67ff1</td>\n", |
||
| 7360 | " <td>ID_d3bd67ff1</td>\n", |
||
| 7361 | " <td>CT</td>\n", |
||
| 7362 | " <td>ID_07aa4e90</td>\n", |
||
| 7363 | " <td>ID_19039aeb7f</td>\n", |
||
| 7364 | " <td>ID_83a456ed02</td>\n", |
||
| 7365 | " <td>NaN</td>\n", |
||
| 7366 | " <td>['-125', '-5.28788193', '235.817384']</td>\n", |
||
| 7367 | " <td>['1', '0', '0', '0', '0.927183855', '-0.374606...</td>\n", |
||
| 7368 | " <td>1</td>\n", |
||
| 7369 | " <td>MONOCHROME2</td>\n", |
||
| 7370 | " <td>512</td>\n", |
||
| 7371 | " <td>512</td>\n", |
||
| 7372 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 7373 | " <td>16</td>\n", |
||
| 7374 | " <td>12</td>\n", |
||
| 7375 | " <td>11</td>\n", |
||
| 7376 | " <td>0</td>\n", |
||
| 7377 | " <td>['00040', '00040']</td>\n", |
||
| 7378 | " <td>['00080', '00080']</td>\n", |
||
| 7379 | " <td>-1024.0</td>\n", |
||
| 7380 | " <td>1.0</td>\n", |
||
| 7381 | " <td>1.301333</td>\n", |
||
| 7382 | " <td>0.093333</td>\n", |
||
| 7383 | " <td>-0.618874</td>\n", |
||
| 7384 | " <td>1.229975</td>\n", |
||
| 7385 | " <td>False</td>\n", |
||
| 7386 | " <td>True</td>\n", |
||
| 7387 | " <td>1.0</td>\n", |
||
| 7388 | " <td>0.0</td>\n", |
||
| 7389 | " <td>0.0</td>\n", |
||
| 7390 | " <td>0.0</td>\n", |
||
| 7391 | " <td>0.927184</td>\n", |
||
| 7392 | " <td>-0.374607</td>\n", |
||
| 7393 | " <td>-125.000000</td>\n", |
||
| 7394 | " <td>-5.287882</td>\n", |
||
| 7395 | " <td>235.817384</td>\n", |
||
| 7396 | " <td>0.488281</td>\n", |
||
| 7397 | " <td>0.488281</td>\n", |
||
| 7398 | " <td>40.0</td>\n", |
||
| 7399 | " <td>40.0</td>\n", |
||
| 7400 | " <td>False</td>\n", |
||
| 7401 | " <td>80.0</td>\n", |
||
| 7402 | " <td>80.0</td>\n", |
||
| 7403 | " <td>0</td>\n", |
||
| 7404 | " <td>0</td>\n", |
||
| 7405 | " <td>1</td>\n", |
||
| 7406 | " <td>1</td>\n", |
||
| 7407 | " <td>1.695785</td>\n", |
||
| 7408 | " <td>0.0</td>\n", |
||
| 7409 | " <td>...</td>\n", |
||
| 7410 | " <td>0.835956</td>\n", |
||
| 7411 | " <td>0.0</td>\n", |
||
| 7412 | " <td>False</td>\n", |
||
| 7413 | " <td>-0.72</td>\n", |
||
| 7414 | " <td>1.0</td>\n", |
||
| 7415 | " <td>0.0</td>\n", |
||
| 7416 | " <td>1.0</td>\n", |
||
| 7417 | " <td>1.0</td>\n", |
||
| 7418 | " <td>0.796162</td>\n", |
||
| 7419 | " <td>1.0</td>\n", |
||
| 7420 | " <td>0.098592</td>\n", |
||
| 7421 | " <td>0.0</td>\n", |
||
| 7422 | " <td>-0.480000</td>\n", |
||
| 7423 | " <td>1.0</td>\n", |
||
| 7424 | " <td>False</td>\n", |
||
| 7425 | " <td>2</td>\n", |
||
| 7426 | " <td>1.202425</td>\n", |
||
| 7427 | " <td>0.502892</td>\n", |
||
| 7428 | " <td>-0.7</td>\n", |
||
| 7429 | " <td>0.000000</td>\n", |
||
| 7430 | " <td>17</td>\n", |
||
| 7431 | " <td>-0.474576</td>\n", |
||
| 7432 | " <td>2.247192</td>\n", |
||
| 7433 | " <td>2.247192</td>\n", |
||
| 7434 | " <td>3</td>\n", |
||
| 7435 | " <td>3</td>\n", |
||
| 7436 | " <td>0.0</td>\n", |
||
| 7437 | " <td>0.0</td>\n", |
||
| 7438 | " <td>0.0</td>\n", |
||
| 7439 | " <td>0.0</td>\n", |
||
| 7440 | " <td>0.0</td>\n", |
||
| 7441 | " <td>0.0</td>\n", |
||
| 7442 | " <td>3</td>\n", |
||
| 7443 | " <td>0.263550</td>\n", |
||
| 7444 | " <td>0.518123</td>\n", |
||
| 7445 | " <td>0.0</td>\n", |
||
| 7446 | " <td>-0.575802</td>\n", |
||
| 7447 | " <td>0</td>\n", |
||
| 7448 | " <td>2</td>\n", |
||
| 7449 | " <td>False</td>\n", |
||
| 7450 | " <td>NaN</td>\n", |
||
| 7451 | " <td>NaN</td>\n", |
||
| 7452 | " <td>NaN</td>\n", |
||
| 7453 | " <td>NaN</td>\n", |
||
| 7454 | " <td>NaN</td>\n", |
||
| 7455 | " <td>NaN</td>\n", |
||
| 7456 | " <td>False</td>\n", |
||
| 7457 | " <td>-0.5</td>\n", |
||
| 7458 | " <td>52190</td>\n", |
||
| 7459 | " <td>0.998915</td>\n", |
||
| 7460 | " </tr>\n", |
||
| 7461 | " <tr>\n", |
||
| 7462 | " <td>101618</td>\n", |
||
| 7463 | " <td>b5c2fbbe1</td>\n", |
||
| 7464 | " <td>ID_b5c2fbbe1</td>\n", |
||
| 7465 | " <td>CT</td>\n", |
||
| 7466 | " <td>ID_877a2214</td>\n", |
||
| 7467 | " <td>ID_f5d8b2ad40</td>\n", |
||
| 7468 | " <td>ID_c37347c9a3</td>\n", |
||
| 7469 | " <td>NaN</td>\n", |
||
| 7470 | " <td>['-126.408875', '-126.408875', '92.449158']</td>\n", |
||
| 7471 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 7472 | " <td>1</td>\n", |
||
| 7473 | " <td>MONOCHROME2</td>\n", |
||
| 7474 | " <td>512</td>\n", |
||
| 7475 | " <td>512</td>\n", |
||
| 7476 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 7477 | " <td>16</td>\n", |
||
| 7478 | " <td>16</td>\n", |
||
| 7479 | " <td>15</td>\n", |
||
| 7480 | " <td>1</td>\n", |
||
| 7481 | " <td>35.000000</td>\n", |
||
| 7482 | " <td>135.000000</td>\n", |
||
| 7483 | " <td>-1024.0</td>\n", |
||
| 7484 | " <td>1.0</td>\n", |
||
| 7485 | " <td>1.301333</td>\n", |
||
| 7486 | " <td>0.148000</td>\n", |
||
| 7487 | " <td>-0.975081</td>\n", |
||
| 7488 | " <td>1.044669</td>\n", |
||
| 7489 | " <td>False</td>\n", |
||
| 7490 | " <td>True</td>\n", |
||
| 7491 | " <td>1.0</td>\n", |
||
| 7492 | " <td>0.0</td>\n", |
||
| 7493 | " <td>0.0</td>\n", |
||
| 7494 | " <td>0.0</td>\n", |
||
| 7495 | " <td>1.000000</td>\n", |
||
| 7496 | " <td>0.000000</td>\n", |
||
| 7497 | " <td>-126.408875</td>\n", |
||
| 7498 | " <td>-126.408875</td>\n", |
||
| 7499 | " <td>92.449158</td>\n", |
||
| 7500 | " <td>0.494751</td>\n", |
||
| 7501 | " <td>0.494751</td>\n", |
||
| 7502 | " <td>35.0</td>\n", |
||
| 7503 | " <td>NaN</td>\n", |
||
| 7504 | " <td>True</td>\n", |
||
| 7505 | " <td>135.0</td>\n", |
||
| 7506 | " <td>NaN</td>\n", |
||
| 7507 | " <td>3</td>\n", |
||
| 7508 | " <td>1</td>\n", |
||
| 7509 | " <td>3</td>\n", |
||
| 7510 | " <td>0</td>\n", |
||
| 7511 | " <td>-1.333333</td>\n", |
||
| 7512 | " <td>1.0</td>\n", |
||
| 7513 | " <td>...</td>\n", |
||
| 7514 | " <td>-0.666667</td>\n", |
||
| 7515 | " <td>1.0</td>\n", |
||
| 7516 | " <td>False</td>\n", |
||
| 7517 | " <td>-0.72</td>\n", |
||
| 7518 | " <td>0.0</td>\n", |
||
| 7519 | " <td>1.0</td>\n", |
||
| 7520 | " <td>1.0</td>\n", |
||
| 7521 | " <td>1.0</td>\n", |
||
| 7522 | " <td>-0.818785</td>\n", |
||
| 7523 | " <td>0.0</td>\n", |
||
| 7524 | " <td>-0.106806</td>\n", |
||
| 7525 | " <td>0.0</td>\n", |
||
| 7526 | " <td>-0.480000</td>\n", |
||
| 7527 | " <td>0.0</td>\n", |
||
| 7528 | " <td>True</td>\n", |
||
| 7529 | " <td>3</td>\n", |
||
| 7530 | " <td>0.609797</td>\n", |
||
| 7531 | " <td>-0.010203</td>\n", |
||
| 7532 | " <td>-0.3</td>\n", |
||
| 7533 | " <td>0.135593</td>\n", |
||
| 7534 | " <td>19</td>\n", |
||
| 7535 | " <td>-0.338983</td>\n", |
||
| 7536 | " <td>-1.500000</td>\n", |
||
| 7537 | " <td>-1.500000</td>\n", |
||
| 7538 | " <td>3</td>\n", |
||
| 7539 | " <td>3</td>\n", |
||
| 7540 | " <td>1.0</td>\n", |
||
| 7541 | " <td>1.0</td>\n", |
||
| 7542 | " <td>0.0</td>\n", |
||
| 7543 | " <td>0.0</td>\n", |
||
| 7544 | " <td>1.0</td>\n", |
||
| 7545 | " <td>1.0</td>\n", |
||
| 7546 | " <td>0</td>\n", |
||
| 7547 | " <td>-0.266667</td>\n", |
||
| 7548 | " <td>0.451613</td>\n", |
||
| 7549 | " <td>0.0</td>\n", |
||
| 7550 | " <td>-0.600000</td>\n", |
||
| 7551 | " <td>0</td>\n", |
||
| 7552 | " <td>2</td>\n", |
||
| 7553 | " <td>False</td>\n", |
||
| 7554 | " <td>NaN</td>\n", |
||
| 7555 | " <td>NaN</td>\n", |
||
| 7556 | " <td>NaN</td>\n", |
||
| 7557 | " <td>NaN</td>\n", |
||
| 7558 | " <td>NaN</td>\n", |
||
| 7559 | " <td>NaN</td>\n", |
||
| 7560 | " <td>False</td>\n", |
||
| 7561 | " <td>-0.5</td>\n", |
||
| 7562 | " <td>93649</td>\n", |
||
| 7563 | " <td>0.998922</td>\n", |
||
| 7564 | " </tr>\n", |
||
| 7565 | " <tr>\n", |
||
| 7566 | " <td>54912</td>\n", |
||
| 7567 | " <td>5519471d4</td>\n", |
||
| 7568 | " <td>ID_5519471d4</td>\n", |
||
| 7569 | " <td>CT</td>\n", |
||
| 7570 | " <td>ID_35384be6</td>\n", |
||
| 7571 | " <td>ID_cc5b6c0a29</td>\n", |
||
| 7572 | " <td>ID_5d7a4ca229</td>\n", |
||
| 7573 | " <td>NaN</td>\n", |
||
| 7574 | " <td>['-125', '72.8792912', '193.380843']</td>\n", |
||
| 7575 | " <td>['1', '0', '0', '0', '0.920504853', '-0.390731...</td>\n", |
||
| 7576 | " <td>1</td>\n", |
||
| 7577 | " <td>MONOCHROME2</td>\n", |
||
| 7578 | " <td>512</td>\n", |
||
| 7579 | " <td>512</td>\n", |
||
| 7580 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 7581 | " <td>16</td>\n", |
||
| 7582 | " <td>12</td>\n", |
||
| 7583 | " <td>11</td>\n", |
||
| 7584 | " <td>0</td>\n", |
||
| 7585 | " <td>['00040', '00040']</td>\n", |
||
| 7586 | " <td>['00080', '00080']</td>\n", |
||
| 7587 | " <td>-1024.0</td>\n", |
||
| 7588 | " <td>1.0</td>\n", |
||
| 7589 | " <td>1.301333</td>\n", |
||
| 7590 | " <td>1.525333</td>\n", |
||
| 7591 | " <td>-0.941557</td>\n", |
||
| 7592 | " <td>1.166305</td>\n", |
||
| 7593 | " <td>False</td>\n", |
||
| 7594 | " <td>True</td>\n", |
||
| 7595 | " <td>1.0</td>\n", |
||
| 7596 | " <td>0.0</td>\n", |
||
| 7597 | " <td>0.0</td>\n", |
||
| 7598 | " <td>0.0</td>\n", |
||
| 7599 | " <td>0.920505</td>\n", |
||
| 7600 | " <td>-0.390731</td>\n", |
||
| 7601 | " <td>-125.000000</td>\n", |
||
| 7602 | " <td>72.879291</td>\n", |
||
| 7603 | " <td>193.380843</td>\n", |
||
| 7604 | " <td>0.488281</td>\n", |
||
| 7605 | " <td>0.488281</td>\n", |
||
| 7606 | " <td>40.0</td>\n", |
||
| 7607 | " <td>40.0</td>\n", |
||
| 7608 | " <td>False</td>\n", |
||
| 7609 | " <td>80.0</td>\n", |
||
| 7610 | " <td>80.0</td>\n", |
||
| 7611 | " <td>0</td>\n", |
||
| 7612 | " <td>0</td>\n", |
||
| 7613 | " <td>1</td>\n", |
||
| 7614 | " <td>1</td>\n", |
||
| 7615 | " <td>1.606731</td>\n", |
||
| 7616 | " <td>0.0</td>\n", |
||
| 7617 | " <td>...</td>\n", |
||
| 7618 | " <td>0.728459</td>\n", |
||
| 7619 | " <td>0.0</td>\n", |
||
| 7620 | " <td>False</td>\n", |
||
| 7621 | " <td>-0.72</td>\n", |
||
| 7622 | " <td>1.0</td>\n", |
||
| 7623 | " <td>0.0</td>\n", |
||
| 7624 | " <td>1.0</td>\n", |
||
| 7625 | " <td>1.0</td>\n", |
||
| 7626 | " <td>1.838391</td>\n", |
||
| 7627 | " <td>1.0</td>\n", |
||
| 7628 | " <td>0.037795</td>\n", |
||
| 7629 | " <td>0.0</td>\n", |
||
| 7630 | " <td>-0.480000</td>\n", |
||
| 7631 | " <td>1.0</td>\n", |
||
| 7632 | " <td>False</td>\n", |
||
| 7633 | " <td>2</td>\n", |
||
| 7634 | " <td>1.078723</td>\n", |
||
| 7635 | " <td>0.490115</td>\n", |
||
| 7636 | " <td>-0.7</td>\n", |
||
| 7637 | " <td>-0.271186</td>\n", |
||
| 7638 | " <td>13</td>\n", |
||
| 7639 | " <td>-0.203390</td>\n", |
||
| 7640 | " <td>1.726074</td>\n", |
||
| 7641 | " <td>1.723938</td>\n", |
||
| 7642 | " <td>3</td>\n", |
||
| 7643 | " <td>3</td>\n", |
||
| 7644 | " <td>0.0</td>\n", |
||
| 7645 | " <td>0.0</td>\n", |
||
| 7646 | " <td>0.0</td>\n", |
||
| 7647 | " <td>0.0</td>\n", |
||
| 7648 | " <td>0.0</td>\n", |
||
| 7649 | " <td>0.0</td>\n", |
||
| 7650 | " <td>3</td>\n", |
||
| 7651 | " <td>-0.475944</td>\n", |
||
| 7652 | " <td>-0.074042</td>\n", |
||
| 7653 | " <td>0.0</td>\n", |
||
| 7654 | " <td>-0.598386</td>\n", |
||
| 7655 | " <td>0</td>\n", |
||
| 7656 | " <td>2</td>\n", |
||
| 7657 | " <td>False</td>\n", |
||
| 7658 | " <td>NaN</td>\n", |
||
| 7659 | " <td>NaN</td>\n", |
||
| 7660 | " <td>NaN</td>\n", |
||
| 7661 | " <td>NaN</td>\n", |
||
| 7662 | " <td>NaN</td>\n", |
||
| 7663 | " <td>NaN</td>\n", |
||
| 7664 | " <td>False</td>\n", |
||
| 7665 | " <td>-0.5</td>\n", |
||
| 7666 | " <td>115357</td>\n", |
||
| 7667 | " <td>0.998966</td>\n", |
||
| 7668 | " </tr>\n", |
||
| 7669 | " <tr>\n", |
||
| 7670 | " <td>29363</td>\n", |
||
| 7671 | " <td>dfc1d30ba</td>\n", |
||
| 7672 | " <td>ID_dfc1d30ba</td>\n", |
||
| 7673 | " <td>CT</td>\n", |
||
| 7674 | " <td>ID_7ed798ca</td>\n", |
||
| 7675 | " <td>ID_bca01d4025</td>\n", |
||
| 7676 | " <td>ID_bf75646cb6</td>\n", |
||
| 7677 | " <td>NaN</td>\n", |
||
| 7678 | " <td>['-132.5', '13.0711274', '189.612208']</td>\n", |
||
| 7679 | " <td>['1', '0', '0', '0', '0.965925826', '-0.258819...</td>\n", |
||
| 7680 | " <td>1</td>\n", |
||
| 7681 | " <td>MONOCHROME2</td>\n", |
||
| 7682 | " <td>512</td>\n", |
||
| 7683 | " <td>512</td>\n", |
||
| 7684 | " <td>['0.517578125', '0.517578125']</td>\n", |
||
| 7685 | " <td>16</td>\n", |
||
| 7686 | " <td>12</td>\n", |
||
| 7687 | " <td>11</td>\n", |
||
| 7688 | " <td>1</td>\n", |
||
| 7689 | " <td>['00040', '00040']</td>\n", |
||
| 7690 | " <td>['00080', '00080']</td>\n", |
||
| 7691 | " <td>0.0</td>\n", |
||
| 7692 | " <td>1.0</td>\n", |
||
| 7693 | " <td>1.333333</td>\n", |
||
| 7694 | " <td>-0.217333</td>\n", |
||
| 7695 | " <td>-0.920688</td>\n", |
||
| 7696 | " <td>0.910508</td>\n", |
||
| 7697 | " <td>False</td>\n", |
||
| 7698 | " <td>True</td>\n", |
||
| 7699 | " <td>1.0</td>\n", |
||
| 7700 | " <td>0.0</td>\n", |
||
| 7701 | " <td>0.0</td>\n", |
||
| 7702 | " <td>0.0</td>\n", |
||
| 7703 | " <td>0.965926</td>\n", |
||
| 7704 | " <td>-0.258819</td>\n", |
||
| 7705 | " <td>-132.500000</td>\n", |
||
| 7706 | " <td>13.071127</td>\n", |
||
| 7707 | " <td>189.612208</td>\n", |
||
| 7708 | " <td>0.517578</td>\n", |
||
| 7709 | " <td>0.517578</td>\n", |
||
| 7710 | " <td>40.0</td>\n", |
||
| 7711 | " <td>40.0</td>\n", |
||
| 7712 | " <td>False</td>\n", |
||
| 7713 | " <td>80.0</td>\n", |
||
| 7714 | " <td>80.0</td>\n", |
||
| 7715 | " <td>0</td>\n", |
||
| 7716 | " <td>0</td>\n", |
||
| 7717 | " <td>1</td>\n", |
||
| 7718 | " <td>2</td>\n", |
||
| 7719 | " <td>2.212344</td>\n", |
||
| 7720 | " <td>0.0</td>\n", |
||
| 7721 | " <td>...</td>\n", |
||
| 7722 | " <td>1.607873</td>\n", |
||
| 7723 | " <td>0.0</td>\n", |
||
| 7724 | " <td>False</td>\n", |
||
| 7725 | " <td>1.08</td>\n", |
||
| 7726 | " <td>0.0</td>\n", |
||
| 7727 | " <td>0.0</td>\n", |
||
| 7728 | " <td>0.0</td>\n", |
||
| 7729 | " <td>1.0</td>\n", |
||
| 7730 | " <td>1.040948</td>\n", |
||
| 7731 | " <td>1.0</td>\n", |
||
| 7732 | " <td>0.032396</td>\n", |
||
| 7733 | " <td>0.0</td>\n", |
||
| 7734 | " <td>2.060625</td>\n", |
||
| 7735 | " <td>0.0</td>\n", |
||
| 7736 | " <td>False</td>\n", |
||
| 7737 | " <td>2</td>\n", |
||
| 7738 | " <td>1.026354</td>\n", |
||
| 7739 | " <td>0.428849</td>\n", |
||
| 7740 | " <td>-0.5</td>\n", |
||
| 7741 | " <td>-0.067797</td>\n", |
||
| 7742 | " <td>16</td>\n", |
||
| 7743 | " <td>-0.271186</td>\n", |
||
| 7744 | " <td>1.561829</td>\n", |
||
| 7745 | " <td>1.588135</td>\n", |
||
| 7746 | " <td>3</td>\n", |
||
| 7747 | " <td>3</td>\n", |
||
| 7748 | " <td>0.0</td>\n", |
||
| 7749 | " <td>0.0</td>\n", |
||
| 7750 | " <td>0.0</td>\n", |
||
| 7751 | " <td>0.0</td>\n", |
||
| 7752 | " <td>0.0</td>\n", |
||
| 7753 | " <td>0.0</td>\n", |
||
| 7754 | " <td>5</td>\n", |
||
| 7755 | " <td>-0.416634</td>\n", |
||
| 7756 | " <td>0.206507</td>\n", |
||
| 7757 | " <td>0.0</td>\n", |
||
| 7758 | " <td>-0.579463</td>\n", |
||
| 7759 | " <td>0</td>\n", |
||
| 7760 | " <td>2</td>\n", |
||
| 7761 | " <td>False</td>\n", |
||
| 7762 | " <td>NaN</td>\n", |
||
| 7763 | " <td>NaN</td>\n", |
||
| 7764 | " <td>NaN</td>\n", |
||
| 7765 | " <td>NaN</td>\n", |
||
| 7766 | " <td>NaN</td>\n", |
||
| 7767 | " <td>NaN</td>\n", |
||
| 7768 | " <td>False</td>\n", |
||
| 7769 | " <td>-0.5</td>\n", |
||
| 7770 | " <td>111444</td>\n", |
||
| 7771 | " <td>0.999020</td>\n", |
||
| 7772 | " </tr>\n", |
||
| 7773 | " <tr>\n", |
||
| 7774 | " <td>92120</td>\n", |
||
| 7775 | " <td>e33160522</td>\n", |
||
| 7776 | " <td>ID_e33160522</td>\n", |
||
| 7777 | " <td>CT</td>\n", |
||
| 7778 | " <td>ID_7ed798ca</td>\n", |
||
| 7779 | " <td>ID_bca01d4025</td>\n", |
||
| 7780 | " <td>ID_bf75646cb6</td>\n", |
||
| 7781 | " <td>NaN</td>\n", |
||
| 7782 | " <td>['-132.5', '13.0711274', '184.488551']</td>\n", |
||
| 7783 | " <td>['1', '0', '0', '0', '0.965925826', '-0.258819...</td>\n", |
||
| 7784 | " <td>1</td>\n", |
||
| 7785 | " <td>MONOCHROME2</td>\n", |
||
| 7786 | " <td>512</td>\n", |
||
| 7787 | " <td>512</td>\n", |
||
| 7788 | " <td>['0.517578125', '0.517578125']</td>\n", |
||
| 7789 | " <td>16</td>\n", |
||
| 7790 | " <td>12</td>\n", |
||
| 7791 | " <td>11</td>\n", |
||
| 7792 | " <td>1</td>\n", |
||
| 7793 | " <td>['00040', '00040']</td>\n", |
||
| 7794 | " <td>['00080', '00080']</td>\n", |
||
| 7795 | " <td>0.0</td>\n", |
||
| 7796 | " <td>1.0</td>\n", |
||
| 7797 | " <td>1.333333</td>\n", |
||
| 7798 | " <td>-0.197333</td>\n", |
||
| 7799 | " <td>-0.930595</td>\n", |
||
| 7800 | " <td>0.931032</td>\n", |
||
| 7801 | " <td>False</td>\n", |
||
| 7802 | " <td>True</td>\n", |
||
| 7803 | " <td>1.0</td>\n", |
||
| 7804 | " <td>0.0</td>\n", |
||
| 7805 | " <td>0.0</td>\n", |
||
| 7806 | " <td>0.0</td>\n", |
||
| 7807 | " <td>0.965926</td>\n", |
||
| 7808 | " <td>-0.258819</td>\n", |
||
| 7809 | " <td>-132.500000</td>\n", |
||
| 7810 | " <td>13.071127</td>\n", |
||
| 7811 | " <td>184.488551</td>\n", |
||
| 7812 | " <td>0.517578</td>\n", |
||
| 7813 | " <td>0.517578</td>\n", |
||
| 7814 | " <td>40.0</td>\n", |
||
| 7815 | " <td>40.0</td>\n", |
||
| 7816 | " <td>False</td>\n", |
||
| 7817 | " <td>80.0</td>\n", |
||
| 7818 | " <td>80.0</td>\n", |
||
| 7819 | " <td>0</td>\n", |
||
| 7820 | " <td>0</td>\n", |
||
| 7821 | " <td>1</td>\n", |
||
| 7822 | " <td>2</td>\n", |
||
| 7823 | " <td>2.212344</td>\n", |
||
| 7824 | " <td>0.0</td>\n", |
||
| 7825 | " <td>...</td>\n", |
||
| 7826 | " <td>1.607873</td>\n", |
||
| 7827 | " <td>0.0</td>\n", |
||
| 7828 | " <td>False</td>\n", |
||
| 7829 | " <td>1.08</td>\n", |
||
| 7830 | " <td>0.0</td>\n", |
||
| 7831 | " <td>0.0</td>\n", |
||
| 7832 | " <td>0.0</td>\n", |
||
| 7833 | " <td>1.0</td>\n", |
||
| 7834 | " <td>1.040948</td>\n", |
||
| 7835 | " <td>1.0</td>\n", |
||
| 7836 | " <td>0.025055</td>\n", |
||
| 7837 | " <td>0.0</td>\n", |
||
| 7838 | " <td>2.060625</td>\n", |
||
| 7839 | " <td>0.0</td>\n", |
||
| 7840 | " <td>False</td>\n", |
||
| 7841 | " <td>2</td>\n", |
||
| 7842 | " <td>1.026354</td>\n", |
||
| 7843 | " <td>0.428849</td>\n", |
||
| 7844 | " <td>-0.5</td>\n", |
||
| 7845 | " <td>-0.135593</td>\n", |
||
| 7846 | " <td>15</td>\n", |
||
| 7847 | " <td>-0.203390</td>\n", |
||
| 7848 | " <td>1.588134</td>\n", |
||
| 7849 | " <td>1.561829</td>\n", |
||
| 7850 | " <td>3</td>\n", |
||
| 7851 | " <td>3</td>\n", |
||
| 7852 | " <td>0.0</td>\n", |
||
| 7853 | " <td>0.0</td>\n", |
||
| 7854 | " <td>0.0</td>\n", |
||
| 7855 | " <td>0.0</td>\n", |
||
| 7856 | " <td>0.0</td>\n", |
||
| 7857 | " <td>0.0</td>\n", |
||
| 7858 | " <td>5</td>\n", |
||
| 7859 | " <td>-0.416634</td>\n", |
||
| 7860 | " <td>0.069305</td>\n", |
||
| 7861 | " <td>0.0</td>\n", |
||
| 7862 | " <td>-0.579463</td>\n", |
||
| 7863 | " <td>0</td>\n", |
||
| 7864 | " <td>2</td>\n", |
||
| 7865 | " <td>False</td>\n", |
||
| 7866 | " <td>NaN</td>\n", |
||
| 7867 | " <td>NaN</td>\n", |
||
| 7868 | " <td>NaN</td>\n", |
||
| 7869 | " <td>NaN</td>\n", |
||
| 7870 | " <td>NaN</td>\n", |
||
| 7871 | " <td>NaN</td>\n", |
||
| 7872 | " <td>False</td>\n", |
||
| 7873 | " <td>-0.5</td>\n", |
||
| 7874 | " <td>111443</td>\n", |
||
| 7875 | " <td>0.999043</td>\n", |
||
| 7876 | " </tr>\n", |
||
| 7877 | " </tbody>\n", |
||
| 7878 | "</table>\n", |
||
| 7879 | "<p>5 rows × 101 columns</p>\n", |
||
| 7880 | "</div>" |
||
| 7881 | ], |
||
| 7882 | "text/plain": [ |
||
| 7883 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 7884 | "100029 d3bd67ff1 ID_d3bd67ff1 CT ID_07aa4e90 ID_19039aeb7f \n", |
||
| 7885 | "101618 b5c2fbbe1 ID_b5c2fbbe1 CT ID_877a2214 ID_f5d8b2ad40 \n", |
||
| 7886 | "54912 5519471d4 ID_5519471d4 CT ID_35384be6 ID_cc5b6c0a29 \n", |
||
| 7887 | "29363 dfc1d30ba ID_dfc1d30ba CT ID_7ed798ca ID_bca01d4025 \n", |
||
| 7888 | "92120 e33160522 ID_e33160522 CT ID_7ed798ca ID_bca01d4025 \n", |
||
| 7889 | "\n", |
||
| 7890 | " SeriesInstanceUID StudyID \\\n", |
||
| 7891 | "100029 ID_83a456ed02 NaN \n", |
||
| 7892 | "101618 ID_c37347c9a3 NaN \n", |
||
| 7893 | "54912 ID_5d7a4ca229 NaN \n", |
||
| 7894 | "29363 ID_bf75646cb6 NaN \n", |
||
| 7895 | "92120 ID_bf75646cb6 NaN \n", |
||
| 7896 | "\n", |
||
| 7897 | " ImagePositionPatient \\\n", |
||
| 7898 | "100029 ['-125', '-5.28788193', '235.817384'] \n", |
||
| 7899 | "101618 ['-126.408875', '-126.408875', '92.449158'] \n", |
||
| 7900 | "54912 ['-125', '72.8792912', '193.380843'] \n", |
||
| 7901 | "29363 ['-132.5', '13.0711274', '189.612208'] \n", |
||
| 7902 | "92120 ['-132.5', '13.0711274', '184.488551'] \n", |
||
| 7903 | "\n", |
||
| 7904 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 7905 | "100029 ['1', '0', '0', '0', '0.927183855', '-0.374606... 1 \n", |
||
| 7906 | "101618 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 7907 | "54912 ['1', '0', '0', '0', '0.920504853', '-0.390731... 1 \n", |
||
| 7908 | "29363 ['1', '0', '0', '0', '0.965925826', '-0.258819... 1 \n", |
||
| 7909 | "92120 ['1', '0', '0', '0', '0.965925826', '-0.258819... 1 \n", |
||
| 7910 | "\n", |
||
| 7911 | " PhotometricInterpretation Rows Columns \\\n", |
||
| 7912 | "100029 MONOCHROME2 512 512 \n", |
||
| 7913 | "101618 MONOCHROME2 512 512 \n", |
||
| 7914 | "54912 MONOCHROME2 512 512 \n", |
||
| 7915 | "29363 MONOCHROME2 512 512 \n", |
||
| 7916 | "92120 MONOCHROME2 512 512 \n", |
||
| 7917 | "\n", |
||
| 7918 | " PixelSpacing BitsAllocated BitsStored \\\n", |
||
| 7919 | "100029 ['0.48828125', '0.48828125'] 16 12 \n", |
||
| 7920 | "101618 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 7921 | "54912 ['0.48828125', '0.48828125'] 16 12 \n", |
||
| 7922 | "29363 ['0.517578125', '0.517578125'] 16 12 \n", |
||
| 7923 | "92120 ['0.517578125', '0.517578125'] 16 12 \n", |
||
| 7924 | "\n", |
||
| 7925 | " HighBit PixelRepresentation WindowCenter WindowWidth \\\n", |
||
| 7926 | "100029 11 0 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 7927 | "101618 15 1 35.000000 135.000000 \n", |
||
| 7928 | "54912 11 0 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 7929 | "29363 11 1 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 7930 | "92120 11 1 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 7931 | "\n", |
||
| 7932 | " RescaleIntercept RescaleSlope PxlMin PxlMax PxlStd \\\n", |
||
| 7933 | "100029 -1024.0 1.0 1.301333 0.093333 -0.618874 \n", |
||
| 7934 | "101618 -1024.0 1.0 1.301333 0.148000 -0.975081 \n", |
||
| 7935 | "54912 -1024.0 1.0 1.301333 1.525333 -0.941557 \n", |
||
| 7936 | "29363 0.0 1.0 1.333333 -0.217333 -0.920688 \n", |
||
| 7937 | "92120 0.0 1.0 1.333333 -0.197333 -0.930595 \n", |
||
| 7938 | "\n", |
||
| 7939 | " PxlMean test test2 ImageOrientationPatient_0 \\\n", |
||
| 7940 | "100029 1.229975 False True 1.0 \n", |
||
| 7941 | "101618 1.044669 False True 1.0 \n", |
||
| 7942 | "54912 1.166305 False True 1.0 \n", |
||
| 7943 | "29363 0.910508 False True 1.0 \n", |
||
| 7944 | "92120 0.931032 False True 1.0 \n", |
||
| 7945 | "\n", |
||
| 7946 | " ImageOrientationPatient_1 ImageOrientationPatient_2 \\\n", |
||
| 7947 | "100029 0.0 0.0 \n", |
||
| 7948 | "101618 0.0 0.0 \n", |
||
| 7949 | "54912 0.0 0.0 \n", |
||
| 7950 | "29363 0.0 0.0 \n", |
||
| 7951 | "92120 0.0 0.0 \n", |
||
| 7952 | "\n", |
||
| 7953 | " ImageOrientationPatient_3 ImageOrientationPatient_4 \\\n", |
||
| 7954 | "100029 0.0 0.927184 \n", |
||
| 7955 | "101618 0.0 1.000000 \n", |
||
| 7956 | "54912 0.0 0.920505 \n", |
||
| 7957 | "29363 0.0 0.965926 \n", |
||
| 7958 | "92120 0.0 0.965926 \n", |
||
| 7959 | "\n", |
||
| 7960 | " ImageOrientationPatient_5 ImagePositionPatient_0 \\\n", |
||
| 7961 | "100029 -0.374607 -125.000000 \n", |
||
| 7962 | "101618 0.000000 -126.408875 \n", |
||
| 7963 | "54912 -0.390731 -125.000000 \n", |
||
| 7964 | "29363 -0.258819 -132.500000 \n", |
||
| 7965 | "92120 -0.258819 -132.500000 \n", |
||
| 7966 | "\n", |
||
| 7967 | " ImagePositionPatient_1 ImagePositionPatient_2 PixelSpacing_0 \\\n", |
||
| 7968 | "100029 -5.287882 235.817384 0.488281 \n", |
||
| 7969 | "101618 -126.408875 92.449158 0.494751 \n", |
||
| 7970 | "54912 72.879291 193.380843 0.488281 \n", |
||
| 7971 | "29363 13.071127 189.612208 0.517578 \n", |
||
| 7972 | "92120 13.071127 184.488551 0.517578 \n", |
||
| 7973 | "\n", |
||
| 7974 | " PixelSpacing_1 WindowCenter_0 WindowCenter_1 WindowCenter_1_NAN \\\n", |
||
| 7975 | "100029 0.488281 40.0 40.0 False \n", |
||
| 7976 | "101618 0.494751 35.0 NaN True \n", |
||
| 7977 | "54912 0.488281 40.0 40.0 False \n", |
||
| 7978 | "29363 0.517578 40.0 40.0 False \n", |
||
| 7979 | "92120 0.517578 40.0 40.0 False \n", |
||
| 7980 | "\n", |
||
| 7981 | " WindowWidth_0 WindowWidth_1 WindowWidth_0_le WindowWidth_1_le \\\n", |
||
| 7982 | "100029 80.0 80.0 0 0 \n", |
||
| 7983 | "101618 135.0 NaN 3 1 \n", |
||
| 7984 | "54912 80.0 80.0 0 0 \n", |
||
| 7985 | "29363 80.0 80.0 0 0 \n", |
||
| 7986 | "92120 80.0 80.0 0 0 \n", |
||
| 7987 | "\n", |
||
| 7988 | " WindowCenter_1_le BitType_le ImageOrientationPatient_4_f \\\n", |
||
| 7989 | "100029 1 1 1.695785 \n", |
||
| 7990 | "101618 3 0 -1.333333 \n", |
||
| 7991 | "54912 1 1 1.606731 \n", |
||
| 7992 | "29363 1 2 2.212344 \n", |
||
| 7993 | "92120 1 2 2.212344 \n", |
||
| 7994 | "\n", |
||
| 7995 | " ImageOrientationPatient_4_enc_0 ... ImageOrientationPatient_5_f \\\n", |
||
| 7996 | "100029 0.0 ... 0.835956 \n", |
||
| 7997 | "101618 1.0 ... -0.666667 \n", |
||
| 7998 | "54912 0.0 ... 0.728459 \n", |
||
| 7999 | "29363 0.0 ... 1.607873 \n", |
||
| 8000 | "92120 0.0 ... 1.607873 \n", |
||
| 8001 | "\n", |
||
| 8002 | " ImageOrientationPatient_5_enc_0 ImageOrientationPatient_5_enc_1 \\\n", |
||
| 8003 | "100029 0.0 False \n", |
||
| 8004 | "101618 1.0 False \n", |
||
| 8005 | "54912 0.0 False \n", |
||
| 8006 | "29363 0.0 False \n", |
||
| 8007 | "92120 0.0 False \n", |
||
| 8008 | "\n", |
||
| 8009 | " ImagePositionPatient_0_f ImagePositionPatient_0_enc_0 \\\n", |
||
| 8010 | "100029 -0.72 1.0 \n", |
||
| 8011 | "101618 -0.72 0.0 \n", |
||
| 8012 | "54912 -0.72 1.0 \n", |
||
| 8013 | "29363 1.08 0.0 \n", |
||
| 8014 | "92120 1.08 0.0 \n", |
||
| 8015 | "\n", |
||
| 8016 | " ImagePositionPatient_0_enc_1 ImagePositionPatient_0_f_r1 \\\n", |
||
| 8017 | "100029 0.0 1.0 \n", |
||
| 8018 | "101618 1.0 1.0 \n", |
||
| 8019 | "54912 0.0 1.0 \n", |
||
| 8020 | "29363 0.0 0.0 \n", |
||
| 8021 | "92120 0.0 0.0 \n", |
||
| 8022 | "\n", |
||
| 8023 | " ImagePositionPatient_0_f_r05 ImagePositionPatient_1_f \\\n", |
||
| 8024 | "100029 1.0 0.796162 \n", |
||
| 8025 | "101618 1.0 -0.818785 \n", |
||
| 8026 | "54912 1.0 1.838391 \n", |
||
| 8027 | "29363 1.0 1.040948 \n", |
||
| 8028 | "92120 1.0 1.040948 \n", |
||
| 8029 | "\n", |
||
| 8030 | " ImagePositionPatient_1_enc_0 ImagePositionPatient_2_f \\\n", |
||
| 8031 | "100029 1.0 0.098592 \n", |
||
| 8032 | "101618 0.0 -0.106806 \n", |
||
| 8033 | "54912 1.0 0.037795 \n", |
||
| 8034 | "29363 1.0 0.032396 \n", |
||
| 8035 | "92120 1.0 0.025055 \n", |
||
| 8036 | "\n", |
||
| 8037 | " ImagePositionPatient_2_f_r05 PixelSpacing_1_f PixelSpacing_1_enc_0 \\\n", |
||
| 8038 | "100029 0.0 -0.480000 1.0 \n", |
||
| 8039 | "101618 0.0 -0.480000 0.0 \n", |
||
| 8040 | "54912 0.0 -0.480000 1.0 \n", |
||
| 8041 | "29363 0.0 2.060625 0.0 \n", |
||
| 8042 | "92120 0.0 2.060625 0.0 \n", |
||
| 8043 | "\n", |
||
| 8044 | " PixelSpacing_1_enc_1 WindowCenter_0_le pos_max pos_min pos_size \\\n", |
||
| 8045 | "100029 False 2 1.202425 0.502892 -0.7 \n", |
||
| 8046 | "101618 True 3 0.609797 -0.010203 -0.3 \n", |
||
| 8047 | "54912 False 2 1.078723 0.490115 -0.7 \n", |
||
| 8048 | "29363 False 2 1.026354 0.428849 -0.5 \n", |
||
| 8049 | "92120 False 2 1.026354 0.428849 -0.5 \n", |
||
| 8050 | "\n", |
||
| 8051 | " pos_idx1 pos_idx pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le \\\n", |
||
| 8052 | "100029 0.000000 17 -0.474576 2.247192 2.247192 3 \n", |
||
| 8053 | "101618 0.135593 19 -0.338983 -1.500000 -1.500000 3 \n", |
||
| 8054 | "54912 -0.271186 13 -0.203390 1.726074 1.723938 3 \n", |
||
| 8055 | "29363 -0.067797 16 -0.271186 1.561829 1.588135 3 \n", |
||
| 8056 | "92120 -0.135593 15 -0.203390 1.588134 1.561829 3 \n", |
||
| 8057 | "\n", |
||
| 8058 | " pos_inc2_grp_le pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 \\\n", |
||
| 8059 | "100029 3 0.0 0.0 0.0 \n", |
||
| 8060 | "101618 3 1.0 1.0 0.0 \n", |
||
| 8061 | "54912 3 0.0 0.0 0.0 \n", |
||
| 8062 | "29363 3 0.0 0.0 0.0 \n", |
||
| 8063 | "92120 3 0.0 0.0 0.0 \n", |
||
| 8064 | "\n", |
||
| 8065 | " pos_inc2_enc_0 pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le \\\n", |
||
| 8066 | "100029 0.0 0.0 0.0 3 \n", |
||
| 8067 | "101618 0.0 1.0 1.0 0 \n", |
||
| 8068 | "54912 0.0 0.0 0.0 3 \n", |
||
| 8069 | "29363 0.0 0.0 0.0 5 \n", |
||
| 8070 | "92120 0.0 0.0 0.0 5 \n", |
||
| 8071 | "\n", |
||
| 8072 | " pos_range pos_rel pos_zeros pos_inc_rng pos_zeros_le \\\n", |
||
| 8073 | "100029 0.263550 0.518123 0.0 -0.575802 0 \n", |
||
| 8074 | "101618 -0.266667 0.451613 0.0 -0.600000 0 \n", |
||
| 8075 | "54912 -0.475944 -0.074042 0.0 -0.598386 0 \n", |
||
| 8076 | "29363 -0.416634 0.206507 0.0 -0.579463 0 \n", |
||
| 8077 | "92120 -0.416634 0.069305 0.0 -0.579463 0 \n", |
||
| 8078 | "\n", |
||
| 8079 | " PxlMin_grp_le PxlMin_zero any epidural intraparenchymal \\\n", |
||
| 8080 | "100029 2 False NaN NaN NaN \n", |
||
| 8081 | "101618 2 False NaN NaN NaN \n", |
||
| 8082 | "54912 2 False NaN NaN NaN \n", |
||
| 8083 | "29363 2 False NaN NaN NaN \n", |
||
| 8084 | "92120 2 False NaN NaN NaN \n", |
||
| 8085 | "\n", |
||
| 8086 | " intraventricular subarachnoid subdural any_series SeriesPP \\\n", |
||
| 8087 | "100029 NaN NaN NaN False -0.5 \n", |
||
| 8088 | "101618 NaN NaN NaN False -0.5 \n", |
||
| 8089 | "54912 NaN NaN NaN False -0.5 \n", |
||
| 8090 | "29363 NaN NaN NaN False -0.5 \n", |
||
| 8091 | "92120 NaN NaN NaN False -0.5 \n", |
||
| 8092 | "\n", |
||
| 8093 | " yuval_idx pred_any \n", |
||
| 8094 | "100029 52190 0.998915 \n", |
||
| 8095 | "101618 93649 0.998922 \n", |
||
| 8096 | "54912 115357 0.998966 \n", |
||
| 8097 | "29363 111444 0.999020 \n", |
||
| 8098 | "92120 111443 0.999043 \n", |
||
| 8099 | "\n", |
||
| 8100 | "[5 rows x 101 columns]" |
||
| 8101 | ] |
||
| 8102 | }, |
||
| 8103 | "execution_count": 63, |
||
| 8104 | "metadata": {}, |
||
| 8105 | "output_type": "execute_result" |
||
| 8106 | } |
||
| 8107 | ], |
||
| 8108 | "source": [ |
||
| 8109 | "test_md.sort_values('pred_any').tail()" |
||
| 8110 | ] |
||
| 8111 | }, |
||
| 8112 | { |
||
| 8113 | "cell_type": "code", |
||
| 8114 | "execution_count": 64, |
||
| 8115 | "metadata": {}, |
||
| 8116 | "outputs": [ |
||
| 8117 | { |
||
| 8118 | "data": { |
||
| 8119 | "text/html": [ |
||
| 8120 | "<div>\n", |
||
| 8121 | "<style scoped>\n", |
||
| 8122 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 8123 | " vertical-align: middle;\n", |
||
| 8124 | " }\n", |
||
| 8125 | "\n", |
||
| 8126 | " .dataframe tbody tr th {\n", |
||
| 8127 | " vertical-align: top;\n", |
||
| 8128 | " }\n", |
||
| 8129 | "\n", |
||
| 8130 | " .dataframe thead th {\n", |
||
| 8131 | " text-align: right;\n", |
||
| 8132 | " }\n", |
||
| 8133 | "</style>\n", |
||
| 8134 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 8135 | " <thead>\n", |
||
| 8136 | " <tr style=\"text-align: right;\">\n", |
||
| 8137 | " <th></th>\n", |
||
| 8138 | " <th>img_id</th>\n", |
||
| 8139 | " <th>SOPInstanceUID</th>\n", |
||
| 8140 | " <th>Modality</th>\n", |
||
| 8141 | " <th>PatientID</th>\n", |
||
| 8142 | " <th>StudyInstanceUID</th>\n", |
||
| 8143 | " <th>SeriesInstanceUID</th>\n", |
||
| 8144 | " <th>StudyID</th>\n", |
||
| 8145 | " <th>ImagePositionPatient</th>\n", |
||
| 8146 | " <th>ImageOrientationPatient</th>\n", |
||
| 8147 | " <th>SamplesPerPixel</th>\n", |
||
| 8148 | " <th>PhotometricInterpretation</th>\n", |
||
| 8149 | " <th>Rows</th>\n", |
||
| 8150 | " <th>Columns</th>\n", |
||
| 8151 | " <th>PixelSpacing</th>\n", |
||
| 8152 | " <th>BitsAllocated</th>\n", |
||
| 8153 | " <th>BitsStored</th>\n", |
||
| 8154 | " <th>HighBit</th>\n", |
||
| 8155 | " <th>PixelRepresentation</th>\n", |
||
| 8156 | " <th>WindowCenter</th>\n", |
||
| 8157 | " <th>WindowWidth</th>\n", |
||
| 8158 | " <th>RescaleIntercept</th>\n", |
||
| 8159 | " <th>RescaleSlope</th>\n", |
||
| 8160 | " <th>PxlMin</th>\n", |
||
| 8161 | " <th>PxlMax</th>\n", |
||
| 8162 | " <th>PxlStd</th>\n", |
||
| 8163 | " <th>PxlMean</th>\n", |
||
| 8164 | " <th>test</th>\n", |
||
| 8165 | " <th>test2</th>\n", |
||
| 8166 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 8167 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 8168 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 8169 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 8170 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 8171 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 8172 | " <th>ImagePositionPatient_0</th>\n", |
||
| 8173 | " <th>ImagePositionPatient_1</th>\n", |
||
| 8174 | " <th>ImagePositionPatient_2</th>\n", |
||
| 8175 | " <th>PixelSpacing_0</th>\n", |
||
| 8176 | " <th>PixelSpacing_1</th>\n", |
||
| 8177 | " <th>WindowCenter_0</th>\n", |
||
| 8178 | " <th>WindowCenter_1</th>\n", |
||
| 8179 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 8180 | " <th>WindowWidth_0</th>\n", |
||
| 8181 | " <th>WindowWidth_1</th>\n", |
||
| 8182 | " <th>WindowWidth_0_le</th>\n", |
||
| 8183 | " <th>WindowWidth_1_le</th>\n", |
||
| 8184 | " <th>WindowCenter_1_le</th>\n", |
||
| 8185 | " <th>BitType_le</th>\n", |
||
| 8186 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 8187 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 8188 | " <th>...</th>\n", |
||
| 8189 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 8190 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 8191 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 8192 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 8193 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 8194 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 8195 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 8196 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 8197 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 8198 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 8199 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 8200 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 8201 | " <th>PixelSpacing_1_f</th>\n", |
||
| 8202 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 8203 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 8204 | " <th>WindowCenter_0_le</th>\n", |
||
| 8205 | " <th>pos_max</th>\n", |
||
| 8206 | " <th>pos_min</th>\n", |
||
| 8207 | " <th>pos_size</th>\n", |
||
| 8208 | " <th>pos_idx1</th>\n", |
||
| 8209 | " <th>pos_idx</th>\n", |
||
| 8210 | " <th>pos_idx2</th>\n", |
||
| 8211 | " <th>pos_inc1</th>\n", |
||
| 8212 | " <th>pos_inc2</th>\n", |
||
| 8213 | " <th>pos_inc1_grp_le</th>\n", |
||
| 8214 | " <th>pos_inc2_grp_le</th>\n", |
||
| 8215 | " <th>pos_inc1_r1</th>\n", |
||
| 8216 | " <th>pos_inc1_r0001</th>\n", |
||
| 8217 | " <th>pos_inc1_enc_0</th>\n", |
||
| 8218 | " <th>pos_inc2_enc_0</th>\n", |
||
| 8219 | " <th>pos_inc1_enc_1</th>\n", |
||
| 8220 | " <th>pos_inc2_enc_1</th>\n", |
||
| 8221 | " <th>pos_size_le</th>\n", |
||
| 8222 | " <th>pos_range</th>\n", |
||
| 8223 | " <th>pos_rel</th>\n", |
||
| 8224 | " <th>pos_zeros</th>\n", |
||
| 8225 | " <th>pos_inc_rng</th>\n", |
||
| 8226 | " <th>pos_zeros_le</th>\n", |
||
| 8227 | " <th>PxlMin_grp_le</th>\n", |
||
| 8228 | " <th>PxlMin_zero</th>\n", |
||
| 8229 | " <th>any</th>\n", |
||
| 8230 | " <th>epidural</th>\n", |
||
| 8231 | " <th>intraparenchymal</th>\n", |
||
| 8232 | " <th>intraventricular</th>\n", |
||
| 8233 | " <th>subarachnoid</th>\n", |
||
| 8234 | " <th>subdural</th>\n", |
||
| 8235 | " <th>any_series</th>\n", |
||
| 8236 | " <th>SeriesPP</th>\n", |
||
| 8237 | " <th>yuval_idx</th>\n", |
||
| 8238 | " <th>pred_any</th>\n", |
||
| 8239 | " </tr>\n", |
||
| 8240 | " </thead>\n", |
||
| 8241 | " <tbody>\n", |
||
| 8242 | " <tr>\n", |
||
| 8243 | " <td>85421</td>\n", |
||
| 8244 | " <td>ba1a7894c</td>\n", |
||
| 8245 | " <td>ID_ba1a7894c</td>\n", |
||
| 8246 | " <td>CT</td>\n", |
||
| 8247 | " <td>ID_6f87831a</td>\n", |
||
| 8248 | " <td>ID_a6ca244172</td>\n", |
||
| 8249 | " <td>ID_d00cee7f0c</td>\n", |
||
| 8250 | " <td>NaN</td>\n", |
||
| 8251 | " <td>['-125.000000', '-119.997978', '127.192337']</td>\n", |
||
| 8252 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 8253 | " <td>1</td>\n", |
||
| 8254 | " <td>MONOCHROME2</td>\n", |
||
| 8255 | " <td>512</td>\n", |
||
| 8256 | " <td>512</td>\n", |
||
| 8257 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 8258 | " <td>16</td>\n", |
||
| 8259 | " <td>16</td>\n", |
||
| 8260 | " <td>15</td>\n", |
||
| 8261 | " <td>1</td>\n", |
||
| 8262 | " <td>30</td>\n", |
||
| 8263 | " <td>80</td>\n", |
||
| 8264 | " <td>-1024.0</td>\n", |
||
| 8265 | " <td>1.0</td>\n", |
||
| 8266 | " <td>-1.365333</td>\n", |
||
| 8267 | " <td>0.310667</td>\n", |
||
| 8268 | " <td>1.642553</td>\n", |
||
| 8269 | " <td>-0.881730</td>\n", |
||
| 8270 | " <td>False</td>\n", |
||
| 8271 | " <td>True</td>\n", |
||
| 8272 | " <td>1.0</td>\n", |
||
| 8273 | " <td>0.0</td>\n", |
||
| 8274 | " <td>0.0</td>\n", |
||
| 8275 | " <td>0.0</td>\n", |
||
| 8276 | " <td>0.927184</td>\n", |
||
| 8277 | " <td>-0.374607</td>\n", |
||
| 8278 | " <td>-125.0</td>\n", |
||
| 8279 | " <td>-119.997978</td>\n", |
||
| 8280 | " <td>127.192337</td>\n", |
||
| 8281 | " <td>0.488281</td>\n", |
||
| 8282 | " <td>0.488281</td>\n", |
||
| 8283 | " <td>30.0</td>\n", |
||
| 8284 | " <td>NaN</td>\n", |
||
| 8285 | " <td>True</td>\n", |
||
| 8286 | " <td>80.0</td>\n", |
||
| 8287 | " <td>NaN</td>\n", |
||
| 8288 | " <td>0</td>\n", |
||
| 8289 | " <td>1</td>\n", |
||
| 8290 | " <td>3</td>\n", |
||
| 8291 | " <td>0</td>\n", |
||
| 8292 | " <td>-1.333333</td>\n", |
||
| 8293 | " <td>0.0</td>\n", |
||
| 8294 | " <td>...</td>\n", |
||
| 8295 | " <td>-0.666667</td>\n", |
||
| 8296 | " <td>0.0</td>\n", |
||
| 8297 | " <td>True</td>\n", |
||
| 8298 | " <td>-0.72</td>\n", |
||
| 8299 | " <td>1.0</td>\n", |
||
| 8300 | " <td>0.0</td>\n", |
||
| 8301 | " <td>1.0</td>\n", |
||
| 8302 | " <td>1.0</td>\n", |
||
| 8303 | " <td>-0.733306</td>\n", |
||
| 8304 | " <td>0.0</td>\n", |
||
| 8305 | " <td>-0.057031</td>\n", |
||
| 8306 | " <td>0.0</td>\n", |
||
| 8307 | " <td>-0.48</td>\n", |
||
| 8308 | " <td>1.0</td>\n", |
||
| 8309 | " <td>False</td>\n", |
||
| 8310 | " <td>0</td>\n", |
||
| 8311 | " <td>0.918601</td>\n", |
||
| 8312 | " <td>0.249929</td>\n", |
||
| 8313 | " <td>-0.3</td>\n", |
||
| 8314 | " <td>-0.338983</td>\n", |
||
| 8315 | " <td>12</td>\n", |
||
| 8316 | " <td>0.135593</td>\n", |
||
| 8317 | " <td>1.695991</td>\n", |
||
| 8318 | " <td>1.696335</td>\n", |
||
| 8319 | " <td>3</td>\n", |
||
| 8320 | " <td>3</td>\n", |
||
| 8321 | " <td>0.0</td>\n", |
||
| 8322 | " <td>0.0</td>\n", |
||
| 8323 | " <td>0.0</td>\n", |
||
| 8324 | " <td>0.0</td>\n", |
||
| 8325 | " <td>0.0</td>\n", |
||
| 8326 | " <td>0.0</td>\n", |
||
| 8327 | " <td>0</td>\n", |
||
| 8328 | " <td>0.057814</td>\n", |
||
| 8329 | " <td>-0.451618</td>\n", |
||
| 8330 | " <td>0.0</td>\n", |
||
| 8331 | " <td>-0.599737</td>\n", |
||
| 8332 | " <td>0</td>\n", |
||
| 8333 | " <td>0</td>\n", |
||
| 8334 | " <td>True</td>\n", |
||
| 8335 | " <td>NaN</td>\n", |
||
| 8336 | " <td>NaN</td>\n", |
||
| 8337 | " <td>NaN</td>\n", |
||
| 8338 | " <td>NaN</td>\n", |
||
| 8339 | " <td>NaN</td>\n", |
||
| 8340 | " <td>NaN</td>\n", |
||
| 8341 | " <td>False</td>\n", |
||
| 8342 | " <td>-0.5</td>\n", |
||
| 8343 | " <td>111470</td>\n", |
||
| 8344 | " <td>0.902253</td>\n", |
||
| 8345 | " </tr>\n", |
||
| 8346 | " <tr>\n", |
||
| 8347 | " <td>46168</td>\n", |
||
| 8348 | " <td>7f9480ae5</td>\n", |
||
| 8349 | " <td>ID_7f9480ae5</td>\n", |
||
| 8350 | " <td>CT</td>\n", |
||
| 8351 | " <td>ID_61101bd3</td>\n", |
||
| 8352 | " <td>ID_6aca8f9834</td>\n", |
||
| 8353 | " <td>ID_1cb45bbcea</td>\n", |
||
| 8354 | " <td>NaN</td>\n", |
||
| 8355 | " <td>['-125', '42.4079503', '222.344198']</td>\n", |
||
| 8356 | " <td>['1', '0', '0', '0', '0.939692621', '-0.342020...</td>\n", |
||
| 8357 | " <td>1</td>\n", |
||
| 8358 | " <td>MONOCHROME2</td>\n", |
||
| 8359 | " <td>512</td>\n", |
||
| 8360 | " <td>512</td>\n", |
||
| 8361 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 8362 | " <td>16</td>\n", |
||
| 8363 | " <td>12</td>\n", |
||
| 8364 | " <td>11</td>\n", |
||
| 8365 | " <td>0</td>\n", |
||
| 8366 | " <td>['00040', '00040']</td>\n", |
||
| 8367 | " <td>['00080', '00080']</td>\n", |
||
| 8368 | " <td>-1024.0</td>\n", |
||
| 8369 | " <td>1.0</td>\n", |
||
| 8370 | " <td>1.301333</td>\n", |
||
| 8371 | " <td>0.006667</td>\n", |
||
| 8372 | " <td>-0.700807</td>\n", |
||
| 8373 | " <td>1.484853</td>\n", |
||
| 8374 | " <td>False</td>\n", |
||
| 8375 | " <td>True</td>\n", |
||
| 8376 | " <td>1.0</td>\n", |
||
| 8377 | " <td>0.0</td>\n", |
||
| 8378 | " <td>0.0</td>\n", |
||
| 8379 | " <td>0.0</td>\n", |
||
| 8380 | " <td>0.939693</td>\n", |
||
| 8381 | " <td>-0.342020</td>\n", |
||
| 8382 | " <td>-125.0</td>\n", |
||
| 8383 | " <td>42.407950</td>\n", |
||
| 8384 | " <td>222.344198</td>\n", |
||
| 8385 | " <td>0.488281</td>\n", |
||
| 8386 | " <td>0.488281</td>\n", |
||
| 8387 | " <td>40.0</td>\n", |
||
| 8388 | " <td>40.0</td>\n", |
||
| 8389 | " <td>False</td>\n", |
||
| 8390 | " <td>80.0</td>\n", |
||
| 8391 | " <td>80.0</td>\n", |
||
| 8392 | " <td>0</td>\n", |
||
| 8393 | " <td>0</td>\n", |
||
| 8394 | " <td>1</td>\n", |
||
| 8395 | " <td>1</td>\n", |
||
| 8396 | " <td>1.862568</td>\n", |
||
| 8397 | " <td>0.0</td>\n", |
||
| 8398 | " <td>...</td>\n", |
||
| 8399 | " <td>1.053199</td>\n", |
||
| 8400 | " <td>0.0</td>\n", |
||
| 8401 | " <td>False</td>\n", |
||
| 8402 | " <td>-0.72</td>\n", |
||
| 8403 | " <td>1.0</td>\n", |
||
| 8404 | " <td>0.0</td>\n", |
||
| 8405 | " <td>1.0</td>\n", |
||
| 8406 | " <td>1.0</td>\n", |
||
| 8407 | " <td>1.432106</td>\n", |
||
| 8408 | " <td>1.0</td>\n", |
||
| 8409 | " <td>0.079290</td>\n", |
||
| 8410 | " <td>0.0</td>\n", |
||
| 8411 | " <td>-0.48</td>\n", |
||
| 8412 | " <td>1.0</td>\n", |
||
| 8413 | " <td>False</td>\n", |
||
| 8414 | " <td>2</td>\n", |
||
| 8415 | " <td>1.249860</td>\n", |
||
| 8416 | " <td>0.592577</td>\n", |
||
| 8417 | " <td>-0.3</td>\n", |
||
| 8418 | " <td>-0.203390</td>\n", |
||
| 8419 | " <td>14</td>\n", |
||
| 8420 | " <td>0.000000</td>\n", |
||
| 8421 | " <td>1.639649</td>\n", |
||
| 8422 | " <td>1.660400</td>\n", |
||
| 8423 | " <td>3</td>\n", |
||
| 8424 | " <td>3</td>\n", |
||
| 8425 | " <td>0.0</td>\n", |
||
| 8426 | " <td>0.0</td>\n", |
||
| 8427 | " <td>0.0</td>\n", |
||
| 8428 | " <td>0.0</td>\n", |
||
| 8429 | " <td>0.0</td>\n", |
||
| 8430 | " <td>0.0</td>\n", |
||
| 8431 | " <td>0</td>\n", |
||
| 8432 | " <td>-0.018112</td>\n", |
||
| 8433 | " <td>-0.193775</td>\n", |
||
| 8434 | " <td>0.0</td>\n", |
||
| 8435 | " <td>-0.584230</td>\n", |
||
| 8436 | " <td>0</td>\n", |
||
| 8437 | " <td>2</td>\n", |
||
| 8438 | " <td>False</td>\n", |
||
| 8439 | " <td>NaN</td>\n", |
||
| 8440 | " <td>NaN</td>\n", |
||
| 8441 | " <td>NaN</td>\n", |
||
| 8442 | " <td>NaN</td>\n", |
||
| 8443 | " <td>NaN</td>\n", |
||
| 8444 | " <td>NaN</td>\n", |
||
| 8445 | " <td>False</td>\n", |
||
| 8446 | " <td>-0.5</td>\n", |
||
| 8447 | " <td>35441</td>\n", |
||
| 8448 | " <td>0.911084</td>\n", |
||
| 8449 | " </tr>\n", |
||
| 8450 | " <tr>\n", |
||
| 8451 | " <td>90394</td>\n", |
||
| 8452 | " <td>5d403bd8a</td>\n", |
||
| 8453 | " <td>ID_5d403bd8a</td>\n", |
||
| 8454 | " <td>CT</td>\n", |
||
| 8455 | " <td>ID_61101bd3</td>\n", |
||
| 8456 | " <td>ID_6aca8f9834</td>\n", |
||
| 8457 | " <td>ID_1cb45bbcea</td>\n", |
||
| 8458 | " <td>NaN</td>\n", |
||
| 8459 | " <td>['-125', '42.4079503', '206.464926']</td>\n", |
||
| 8460 | " <td>['1', '0', '0', '0', '0.939692621', '-0.342020...</td>\n", |
||
| 8461 | " <td>1</td>\n", |
||
| 8462 | " <td>MONOCHROME2</td>\n", |
||
| 8463 | " <td>512</td>\n", |
||
| 8464 | " <td>512</td>\n", |
||
| 8465 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 8466 | " <td>16</td>\n", |
||
| 8467 | " <td>12</td>\n", |
||
| 8468 | " <td>11</td>\n", |
||
| 8469 | " <td>0</td>\n", |
||
| 8470 | " <td>['00040', '00040']</td>\n", |
||
| 8471 | " <td>['00080', '00080']</td>\n", |
||
| 8472 | " <td>-1024.0</td>\n", |
||
| 8473 | " <td>1.0</td>\n", |
||
| 8474 | " <td>1.301333</td>\n", |
||
| 8475 | " <td>0.010667</td>\n", |
||
| 8476 | " <td>-0.780873</td>\n", |
||
| 8477 | " <td>1.496547</td>\n", |
||
| 8478 | " <td>False</td>\n", |
||
| 8479 | " <td>True</td>\n", |
||
| 8480 | " <td>1.0</td>\n", |
||
| 8481 | " <td>0.0</td>\n", |
||
| 8482 | " <td>0.0</td>\n", |
||
| 8483 | " <td>0.0</td>\n", |
||
| 8484 | " <td>0.939693</td>\n", |
||
| 8485 | " <td>-0.342020</td>\n", |
||
| 8486 | " <td>-125.0</td>\n", |
||
| 8487 | " <td>42.407950</td>\n", |
||
| 8488 | " <td>206.464926</td>\n", |
||
| 8489 | " <td>0.488281</td>\n", |
||
| 8490 | " <td>0.488281</td>\n", |
||
| 8491 | " <td>40.0</td>\n", |
||
| 8492 | " <td>40.0</td>\n", |
||
| 8493 | " <td>False</td>\n", |
||
| 8494 | " <td>80.0</td>\n", |
||
| 8495 | " <td>80.0</td>\n", |
||
| 8496 | " <td>0</td>\n", |
||
| 8497 | " <td>0</td>\n", |
||
| 8498 | " <td>1</td>\n", |
||
| 8499 | " <td>1</td>\n", |
||
| 8500 | " <td>1.862568</td>\n", |
||
| 8501 | " <td>0.0</td>\n", |
||
| 8502 | " <td>...</td>\n", |
||
| 8503 | " <td>1.053199</td>\n", |
||
| 8504 | " <td>0.0</td>\n", |
||
| 8505 | " <td>False</td>\n", |
||
| 8506 | " <td>-0.72</td>\n", |
||
| 8507 | " <td>1.0</td>\n", |
||
| 8508 | " <td>0.0</td>\n", |
||
| 8509 | " <td>1.0</td>\n", |
||
| 8510 | " <td>1.0</td>\n", |
||
| 8511 | " <td>1.432106</td>\n", |
||
| 8512 | " <td>1.0</td>\n", |
||
| 8513 | " <td>0.056540</td>\n", |
||
| 8514 | " <td>0.0</td>\n", |
||
| 8515 | " <td>-0.48</td>\n", |
||
| 8516 | " <td>1.0</td>\n", |
||
| 8517 | " <td>False</td>\n", |
||
| 8518 | " <td>2</td>\n", |
||
| 8519 | " <td>1.249860</td>\n", |
||
| 8520 | " <td>0.592577</td>\n", |
||
| 8521 | " <td>-0.3</td>\n", |
||
| 8522 | " <td>-0.406780</td>\n", |
||
| 8523 | " <td>11</td>\n", |
||
| 8524 | " <td>0.203390</td>\n", |
||
| 8525 | " <td>1.660400</td>\n", |
||
| 8526 | " <td>1.639587</td>\n", |
||
| 8527 | " <td>3</td>\n", |
||
| 8528 | " <td>3</td>\n", |
||
| 8529 | " <td>0.0</td>\n", |
||
| 8530 | " <td>0.0</td>\n", |
||
| 8531 | " <td>0.0</td>\n", |
||
| 8532 | " <td>0.0</td>\n", |
||
| 8533 | " <td>0.0</td>\n", |
||
| 8534 | " <td>0.0</td>\n", |
||
| 8535 | " <td>0</td>\n", |
||
| 8536 | " <td>-0.018112</td>\n", |
||
| 8537 | " <td>-0.580318</td>\n", |
||
| 8538 | " <td>0.0</td>\n", |
||
| 8539 | " <td>-0.584230</td>\n", |
||
| 8540 | " <td>0</td>\n", |
||
| 8541 | " <td>2</td>\n", |
||
| 8542 | " <td>False</td>\n", |
||
| 8543 | " <td>NaN</td>\n", |
||
| 8544 | " <td>NaN</td>\n", |
||
| 8545 | " <td>NaN</td>\n", |
||
| 8546 | " <td>NaN</td>\n", |
||
| 8547 | " <td>NaN</td>\n", |
||
| 8548 | " <td>NaN</td>\n", |
||
| 8549 | " <td>False</td>\n", |
||
| 8550 | " <td>-0.5</td>\n", |
||
| 8551 | " <td>35438</td>\n", |
||
| 8552 | " <td>0.911625</td>\n", |
||
| 8553 | " </tr>\n", |
||
| 8554 | " <tr>\n", |
||
| 8555 | " <td>23519</td>\n", |
||
| 8556 | " <td>645917b86</td>\n", |
||
| 8557 | " <td>ID_645917b86</td>\n", |
||
| 8558 | " <td>CT</td>\n", |
||
| 8559 | " <td>ID_61101bd3</td>\n", |
||
| 8560 | " <td>ID_6aca8f9834</td>\n", |
||
| 8561 | " <td>ID_1cb45bbcea</td>\n", |
||
| 8562 | " <td>NaN</td>\n", |
||
| 8563 | " <td>['-125', '42.4079503', '211.7441']</td>\n", |
||
| 8564 | " <td>['1', '0', '0', '0', '0.939692621', '-0.342020...</td>\n", |
||
| 8565 | " <td>1</td>\n", |
||
| 8566 | " <td>MONOCHROME2</td>\n", |
||
| 8567 | " <td>512</td>\n", |
||
| 8568 | " <td>512</td>\n", |
||
| 8569 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 8570 | " <td>16</td>\n", |
||
| 8571 | " <td>12</td>\n", |
||
| 8572 | " <td>11</td>\n", |
||
| 8573 | " <td>0</td>\n", |
||
| 8574 | " <td>['00040', '00040']</td>\n", |
||
| 8575 | " <td>['00080', '00080']</td>\n", |
||
| 8576 | " <td>-1024.0</td>\n", |
||
| 8577 | " <td>1.0</td>\n", |
||
| 8578 | " <td>1.301333</td>\n", |
||
| 8579 | " <td>0.037333</td>\n", |
||
| 8580 | " <td>-0.754200</td>\n", |
||
| 8581 | " <td>1.500107</td>\n", |
||
| 8582 | " <td>False</td>\n", |
||
| 8583 | " <td>True</td>\n", |
||
| 8584 | " <td>1.0</td>\n", |
||
| 8585 | " <td>0.0</td>\n", |
||
| 8586 | " <td>0.0</td>\n", |
||
| 8587 | " <td>0.0</td>\n", |
||
| 8588 | " <td>0.939693</td>\n", |
||
| 8589 | " <td>-0.342020</td>\n", |
||
| 8590 | " <td>-125.0</td>\n", |
||
| 8591 | " <td>42.407950</td>\n", |
||
| 8592 | " <td>211.744100</td>\n", |
||
| 8593 | " <td>0.488281</td>\n", |
||
| 8594 | " <td>0.488281</td>\n", |
||
| 8595 | " <td>40.0</td>\n", |
||
| 8596 | " <td>40.0</td>\n", |
||
| 8597 | " <td>False</td>\n", |
||
| 8598 | " <td>80.0</td>\n", |
||
| 8599 | " <td>80.0</td>\n", |
||
| 8600 | " <td>0</td>\n", |
||
| 8601 | " <td>0</td>\n", |
||
| 8602 | " <td>1</td>\n", |
||
| 8603 | " <td>1</td>\n", |
||
| 8604 | " <td>1.862568</td>\n", |
||
| 8605 | " <td>0.0</td>\n", |
||
| 8606 | " <td>...</td>\n", |
||
| 8607 | " <td>1.053199</td>\n", |
||
| 8608 | " <td>0.0</td>\n", |
||
| 8609 | " <td>False</td>\n", |
||
| 8610 | " <td>-0.72</td>\n", |
||
| 8611 | " <td>1.0</td>\n", |
||
| 8612 | " <td>0.0</td>\n", |
||
| 8613 | " <td>1.0</td>\n", |
||
| 8614 | " <td>1.0</td>\n", |
||
| 8615 | " <td>1.432106</td>\n", |
||
| 8616 | " <td>1.0</td>\n", |
||
| 8617 | " <td>0.064103</td>\n", |
||
| 8618 | " <td>0.0</td>\n", |
||
| 8619 | " <td>-0.48</td>\n", |
||
| 8620 | " <td>1.0</td>\n", |
||
| 8621 | " <td>False</td>\n", |
||
| 8622 | " <td>2</td>\n", |
||
| 8623 | " <td>1.249860</td>\n", |
||
| 8624 | " <td>0.592577</td>\n", |
||
| 8625 | " <td>-0.3</td>\n", |
||
| 8626 | " <td>-0.338983</td>\n", |
||
| 8627 | " <td>12</td>\n", |
||
| 8628 | " <td>0.135593</td>\n", |
||
| 8629 | " <td>1.639587</td>\n", |
||
| 8630 | " <td>1.660400</td>\n", |
||
| 8631 | " <td>3</td>\n", |
||
| 8632 | " <td>3</td>\n", |
||
| 8633 | " <td>0.0</td>\n", |
||
| 8634 | " <td>0.0</td>\n", |
||
| 8635 | " <td>0.0</td>\n", |
||
| 8636 | " <td>0.0</td>\n", |
||
| 8637 | " <td>0.0</td>\n", |
||
| 8638 | " <td>0.0</td>\n", |
||
| 8639 | " <td>0</td>\n", |
||
| 8640 | " <td>-0.018112</td>\n", |
||
| 8641 | " <td>-0.451810</td>\n", |
||
| 8642 | " <td>0.0</td>\n", |
||
| 8643 | " <td>-0.584230</td>\n", |
||
| 8644 | " <td>0</td>\n", |
||
| 8645 | " <td>2</td>\n", |
||
| 8646 | " <td>False</td>\n", |
||
| 8647 | " <td>NaN</td>\n", |
||
| 8648 | " <td>NaN</td>\n", |
||
| 8649 | " <td>NaN</td>\n", |
||
| 8650 | " <td>NaN</td>\n", |
||
| 8651 | " <td>NaN</td>\n", |
||
| 8652 | " <td>NaN</td>\n", |
||
| 8653 | " <td>False</td>\n", |
||
| 8654 | " <td>-0.5</td>\n", |
||
| 8655 | " <td>35439</td>\n", |
||
| 8656 | " <td>0.916977</td>\n", |
||
| 8657 | " </tr>\n", |
||
| 8658 | " <tr>\n", |
||
| 8659 | " <td>41043</td>\n", |
||
| 8660 | " <td>0f43a379c</td>\n", |
||
| 8661 | " <td>ID_0f43a379c</td>\n", |
||
| 8662 | " <td>CT</td>\n", |
||
| 8663 | " <td>ID_61101bd3</td>\n", |
||
| 8664 | " <td>ID_6aca8f9834</td>\n", |
||
| 8665 | " <td>ID_1cb45bbcea</td>\n", |
||
| 8666 | " <td>NaN</td>\n", |
||
| 8667 | " <td>['-125', '42.4079503', '217.064901']</td>\n", |
||
| 8668 | " <td>['1', '0', '0', '0', '0.939692621', '-0.342020...</td>\n", |
||
| 8669 | " <td>1</td>\n", |
||
| 8670 | " <td>MONOCHROME2</td>\n", |
||
| 8671 | " <td>512</td>\n", |
||
| 8672 | " <td>512</td>\n", |
||
| 8673 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 8674 | " <td>16</td>\n", |
||
| 8675 | " <td>12</td>\n", |
||
| 8676 | " <td>11</td>\n", |
||
| 8677 | " <td>0</td>\n", |
||
| 8678 | " <td>['00040', '00040']</td>\n", |
||
| 8679 | " <td>['00080', '00080']</td>\n", |
||
| 8680 | " <td>-1024.0</td>\n", |
||
| 8681 | " <td>1.0</td>\n", |
||
| 8682 | " <td>1.301333</td>\n", |
||
| 8683 | " <td>0.000000</td>\n", |
||
| 8684 | " <td>-0.718398</td>\n", |
||
| 8685 | " <td>1.505203</td>\n", |
||
| 8686 | " <td>False</td>\n", |
||
| 8687 | " <td>True</td>\n", |
||
| 8688 | " <td>1.0</td>\n", |
||
| 8689 | " <td>0.0</td>\n", |
||
| 8690 | " <td>0.0</td>\n", |
||
| 8691 | " <td>0.0</td>\n", |
||
| 8692 | " <td>0.939693</td>\n", |
||
| 8693 | " <td>-0.342020</td>\n", |
||
| 8694 | " <td>-125.0</td>\n", |
||
| 8695 | " <td>42.407950</td>\n", |
||
| 8696 | " <td>217.064901</td>\n", |
||
| 8697 | " <td>0.488281</td>\n", |
||
| 8698 | " <td>0.488281</td>\n", |
||
| 8699 | " <td>40.0</td>\n", |
||
| 8700 | " <td>40.0</td>\n", |
||
| 8701 | " <td>False</td>\n", |
||
| 8702 | " <td>80.0</td>\n", |
||
| 8703 | " <td>80.0</td>\n", |
||
| 8704 | " <td>0</td>\n", |
||
| 8705 | " <td>0</td>\n", |
||
| 8706 | " <td>1</td>\n", |
||
| 8707 | " <td>1</td>\n", |
||
| 8708 | " <td>1.862568</td>\n", |
||
| 8709 | " <td>0.0</td>\n", |
||
| 8710 | " <td>...</td>\n", |
||
| 8711 | " <td>1.053199</td>\n", |
||
| 8712 | " <td>0.0</td>\n", |
||
| 8713 | " <td>False</td>\n", |
||
| 8714 | " <td>-0.72</td>\n", |
||
| 8715 | " <td>1.0</td>\n", |
||
| 8716 | " <td>0.0</td>\n", |
||
| 8717 | " <td>1.0</td>\n", |
||
| 8718 | " <td>1.0</td>\n", |
||
| 8719 | " <td>1.432106</td>\n", |
||
| 8720 | " <td>1.0</td>\n", |
||
| 8721 | " <td>0.071726</td>\n", |
||
| 8722 | " <td>0.0</td>\n", |
||
| 8723 | " <td>-0.48</td>\n", |
||
| 8724 | " <td>1.0</td>\n", |
||
| 8725 | " <td>False</td>\n", |
||
| 8726 | " <td>2</td>\n", |
||
| 8727 | " <td>1.249860</td>\n", |
||
| 8728 | " <td>0.592577</td>\n", |
||
| 8729 | " <td>-0.3</td>\n", |
||
| 8730 | " <td>-0.271186</td>\n", |
||
| 8731 | " <td>13</td>\n", |
||
| 8732 | " <td>0.067797</td>\n", |
||
| 8733 | " <td>1.660400</td>\n", |
||
| 8734 | " <td>1.639649</td>\n", |
||
| 8735 | " <td>3</td>\n", |
||
| 8736 | " <td>3</td>\n", |
||
| 8737 | " <td>0.0</td>\n", |
||
| 8738 | " <td>0.0</td>\n", |
||
| 8739 | " <td>0.0</td>\n", |
||
| 8740 | " <td>0.0</td>\n", |
||
| 8741 | " <td>0.0</td>\n", |
||
| 8742 | " <td>0.0</td>\n", |
||
| 8743 | " <td>0</td>\n", |
||
| 8744 | " <td>-0.018112</td>\n", |
||
| 8745 | " <td>-0.322287</td>\n", |
||
| 8746 | " <td>0.0</td>\n", |
||
| 8747 | " <td>-0.584230</td>\n", |
||
| 8748 | " <td>0</td>\n", |
||
| 8749 | " <td>2</td>\n", |
||
| 8750 | " <td>False</td>\n", |
||
| 8751 | " <td>NaN</td>\n", |
||
| 8752 | " <td>NaN</td>\n", |
||
| 8753 | " <td>NaN</td>\n", |
||
| 8754 | " <td>NaN</td>\n", |
||
| 8755 | " <td>NaN</td>\n", |
||
| 8756 | " <td>NaN</td>\n", |
||
| 8757 | " <td>False</td>\n", |
||
| 8758 | " <td>-0.5</td>\n", |
||
| 8759 | " <td>35440</td>\n", |
||
| 8760 | " <td>0.917555</td>\n", |
||
| 8761 | " </tr>\n", |
||
| 8762 | " </tbody>\n", |
||
| 8763 | "</table>\n", |
||
| 8764 | "<p>5 rows × 101 columns</p>\n", |
||
| 8765 | "</div>" |
||
| 8766 | ], |
||
| 8767 | "text/plain": [ |
||
| 8768 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 8769 | "85421 ba1a7894c ID_ba1a7894c CT ID_6f87831a ID_a6ca244172 \n", |
||
| 8770 | "46168 7f9480ae5 ID_7f9480ae5 CT ID_61101bd3 ID_6aca8f9834 \n", |
||
| 8771 | "90394 5d403bd8a ID_5d403bd8a CT ID_61101bd3 ID_6aca8f9834 \n", |
||
| 8772 | "23519 645917b86 ID_645917b86 CT ID_61101bd3 ID_6aca8f9834 \n", |
||
| 8773 | "41043 0f43a379c ID_0f43a379c CT ID_61101bd3 ID_6aca8f9834 \n", |
||
| 8774 | "\n", |
||
| 8775 | " SeriesInstanceUID StudyID \\\n", |
||
| 8776 | "85421 ID_d00cee7f0c NaN \n", |
||
| 8777 | "46168 ID_1cb45bbcea NaN \n", |
||
| 8778 | "90394 ID_1cb45bbcea NaN \n", |
||
| 8779 | "23519 ID_1cb45bbcea NaN \n", |
||
| 8780 | "41043 ID_1cb45bbcea NaN \n", |
||
| 8781 | "\n", |
||
| 8782 | " ImagePositionPatient \\\n", |
||
| 8783 | "85421 ['-125.000000', '-119.997978', '127.192337'] \n", |
||
| 8784 | "46168 ['-125', '42.4079503', '222.344198'] \n", |
||
| 8785 | "90394 ['-125', '42.4079503', '206.464926'] \n", |
||
| 8786 | "23519 ['-125', '42.4079503', '211.7441'] \n", |
||
| 8787 | "41043 ['-125', '42.4079503', '217.064901'] \n", |
||
| 8788 | "\n", |
||
| 8789 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 8790 | "85421 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 8791 | "46168 ['1', '0', '0', '0', '0.939692621', '-0.342020... 1 \n", |
||
| 8792 | "90394 ['1', '0', '0', '0', '0.939692621', '-0.342020... 1 \n", |
||
| 8793 | "23519 ['1', '0', '0', '0', '0.939692621', '-0.342020... 1 \n", |
||
| 8794 | "41043 ['1', '0', '0', '0', '0.939692621', '-0.342020... 1 \n", |
||
| 8795 | "\n", |
||
| 8796 | " PhotometricInterpretation Rows Columns PixelSpacing \\\n", |
||
| 8797 | "85421 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 8798 | "46168 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 8799 | "90394 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 8800 | "23519 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 8801 | "41043 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 8802 | "\n", |
||
| 8803 | " BitsAllocated BitsStored HighBit PixelRepresentation \\\n", |
||
| 8804 | "85421 16 16 15 1 \n", |
||
| 8805 | "46168 16 12 11 0 \n", |
||
| 8806 | "90394 16 12 11 0 \n", |
||
| 8807 | "23519 16 12 11 0 \n", |
||
| 8808 | "41043 16 12 11 0 \n", |
||
| 8809 | "\n", |
||
| 8810 | " WindowCenter WindowWidth RescaleIntercept RescaleSlope \\\n", |
||
| 8811 | "85421 30 80 -1024.0 1.0 \n", |
||
| 8812 | "46168 ['00040', '00040'] ['00080', '00080'] -1024.0 1.0 \n", |
||
| 8813 | "90394 ['00040', '00040'] ['00080', '00080'] -1024.0 1.0 \n", |
||
| 8814 | "23519 ['00040', '00040'] ['00080', '00080'] -1024.0 1.0 \n", |
||
| 8815 | "41043 ['00040', '00040'] ['00080', '00080'] -1024.0 1.0 \n", |
||
| 8816 | "\n", |
||
| 8817 | " PxlMin PxlMax PxlStd PxlMean test test2 \\\n", |
||
| 8818 | "85421 -1.365333 0.310667 1.642553 -0.881730 False True \n", |
||
| 8819 | "46168 1.301333 0.006667 -0.700807 1.484853 False True \n", |
||
| 8820 | "90394 1.301333 0.010667 -0.780873 1.496547 False True \n", |
||
| 8821 | "23519 1.301333 0.037333 -0.754200 1.500107 False True \n", |
||
| 8822 | "41043 1.301333 0.000000 -0.718398 1.505203 False True \n", |
||
| 8823 | "\n", |
||
| 8824 | " ImageOrientationPatient_0 ImageOrientationPatient_1 \\\n", |
||
| 8825 | "85421 1.0 0.0 \n", |
||
| 8826 | "46168 1.0 0.0 \n", |
||
| 8827 | "90394 1.0 0.0 \n", |
||
| 8828 | "23519 1.0 0.0 \n", |
||
| 8829 | "41043 1.0 0.0 \n", |
||
| 8830 | "\n", |
||
| 8831 | " ImageOrientationPatient_2 ImageOrientationPatient_3 \\\n", |
||
| 8832 | "85421 0.0 0.0 \n", |
||
| 8833 | "46168 0.0 0.0 \n", |
||
| 8834 | "90394 0.0 0.0 \n", |
||
| 8835 | "23519 0.0 0.0 \n", |
||
| 8836 | "41043 0.0 0.0 \n", |
||
| 8837 | "\n", |
||
| 8838 | " ImageOrientationPatient_4 ImageOrientationPatient_5 \\\n", |
||
| 8839 | "85421 0.927184 -0.374607 \n", |
||
| 8840 | "46168 0.939693 -0.342020 \n", |
||
| 8841 | "90394 0.939693 -0.342020 \n", |
||
| 8842 | "23519 0.939693 -0.342020 \n", |
||
| 8843 | "41043 0.939693 -0.342020 \n", |
||
| 8844 | "\n", |
||
| 8845 | " ImagePositionPatient_0 ImagePositionPatient_1 ImagePositionPatient_2 \\\n", |
||
| 8846 | "85421 -125.0 -119.997978 127.192337 \n", |
||
| 8847 | "46168 -125.0 42.407950 222.344198 \n", |
||
| 8848 | "90394 -125.0 42.407950 206.464926 \n", |
||
| 8849 | "23519 -125.0 42.407950 211.744100 \n", |
||
| 8850 | "41043 -125.0 42.407950 217.064901 \n", |
||
| 8851 | "\n", |
||
| 8852 | " PixelSpacing_0 PixelSpacing_1 WindowCenter_0 WindowCenter_1 \\\n", |
||
| 8853 | "85421 0.488281 0.488281 30.0 NaN \n", |
||
| 8854 | "46168 0.488281 0.488281 40.0 40.0 \n", |
||
| 8855 | "90394 0.488281 0.488281 40.0 40.0 \n", |
||
| 8856 | "23519 0.488281 0.488281 40.0 40.0 \n", |
||
| 8857 | "41043 0.488281 0.488281 40.0 40.0 \n", |
||
| 8858 | "\n", |
||
| 8859 | " WindowCenter_1_NAN WindowWidth_0 WindowWidth_1 WindowWidth_0_le \\\n", |
||
| 8860 | "85421 True 80.0 NaN 0 \n", |
||
| 8861 | "46168 False 80.0 80.0 0 \n", |
||
| 8862 | "90394 False 80.0 80.0 0 \n", |
||
| 8863 | "23519 False 80.0 80.0 0 \n", |
||
| 8864 | "41043 False 80.0 80.0 0 \n", |
||
| 8865 | "\n", |
||
| 8866 | " WindowWidth_1_le WindowCenter_1_le BitType_le \\\n", |
||
| 8867 | "85421 1 3 0 \n", |
||
| 8868 | "46168 0 1 1 \n", |
||
| 8869 | "90394 0 1 1 \n", |
||
| 8870 | "23519 0 1 1 \n", |
||
| 8871 | "41043 0 1 1 \n", |
||
| 8872 | "\n", |
||
| 8873 | " ImageOrientationPatient_4_f ImageOrientationPatient_4_enc_0 ... \\\n", |
||
| 8874 | "85421 -1.333333 0.0 ... \n", |
||
| 8875 | "46168 1.862568 0.0 ... \n", |
||
| 8876 | "90394 1.862568 0.0 ... \n", |
||
| 8877 | "23519 1.862568 0.0 ... \n", |
||
| 8878 | "41043 1.862568 0.0 ... \n", |
||
| 8879 | "\n", |
||
| 8880 | " ImageOrientationPatient_5_f ImageOrientationPatient_5_enc_0 \\\n", |
||
| 8881 | "85421 -0.666667 0.0 \n", |
||
| 8882 | "46168 1.053199 0.0 \n", |
||
| 8883 | "90394 1.053199 0.0 \n", |
||
| 8884 | "23519 1.053199 0.0 \n", |
||
| 8885 | "41043 1.053199 0.0 \n", |
||
| 8886 | "\n", |
||
| 8887 | " ImageOrientationPatient_5_enc_1 ImagePositionPatient_0_f \\\n", |
||
| 8888 | "85421 True -0.72 \n", |
||
| 8889 | "46168 False -0.72 \n", |
||
| 8890 | "90394 False -0.72 \n", |
||
| 8891 | "23519 False -0.72 \n", |
||
| 8892 | "41043 False -0.72 \n", |
||
| 8893 | "\n", |
||
| 8894 | " ImagePositionPatient_0_enc_0 ImagePositionPatient_0_enc_1 \\\n", |
||
| 8895 | "85421 1.0 0.0 \n", |
||
| 8896 | "46168 1.0 0.0 \n", |
||
| 8897 | "90394 1.0 0.0 \n", |
||
| 8898 | "23519 1.0 0.0 \n", |
||
| 8899 | "41043 1.0 0.0 \n", |
||
| 8900 | "\n", |
||
| 8901 | " ImagePositionPatient_0_f_r1 ImagePositionPatient_0_f_r05 \\\n", |
||
| 8902 | "85421 1.0 1.0 \n", |
||
| 8903 | "46168 1.0 1.0 \n", |
||
| 8904 | "90394 1.0 1.0 \n", |
||
| 8905 | "23519 1.0 1.0 \n", |
||
| 8906 | "41043 1.0 1.0 \n", |
||
| 8907 | "\n", |
||
| 8908 | " ImagePositionPatient_1_f ImagePositionPatient_1_enc_0 \\\n", |
||
| 8909 | "85421 -0.733306 0.0 \n", |
||
| 8910 | "46168 1.432106 1.0 \n", |
||
| 8911 | "90394 1.432106 1.0 \n", |
||
| 8912 | "23519 1.432106 1.0 \n", |
||
| 8913 | "41043 1.432106 1.0 \n", |
||
| 8914 | "\n", |
||
| 8915 | " ImagePositionPatient_2_f ImagePositionPatient_2_f_r05 \\\n", |
||
| 8916 | "85421 -0.057031 0.0 \n", |
||
| 8917 | "46168 0.079290 0.0 \n", |
||
| 8918 | "90394 0.056540 0.0 \n", |
||
| 8919 | "23519 0.064103 0.0 \n", |
||
| 8920 | "41043 0.071726 0.0 \n", |
||
| 8921 | "\n", |
||
| 8922 | " PixelSpacing_1_f PixelSpacing_1_enc_0 PixelSpacing_1_enc_1 \\\n", |
||
| 8923 | "85421 -0.48 1.0 False \n", |
||
| 8924 | "46168 -0.48 1.0 False \n", |
||
| 8925 | "90394 -0.48 1.0 False \n", |
||
| 8926 | "23519 -0.48 1.0 False \n", |
||
| 8927 | "41043 -0.48 1.0 False \n", |
||
| 8928 | "\n", |
||
| 8929 | " WindowCenter_0_le pos_max pos_min pos_size pos_idx1 pos_idx \\\n", |
||
| 8930 | "85421 0 0.918601 0.249929 -0.3 -0.338983 12 \n", |
||
| 8931 | "46168 2 1.249860 0.592577 -0.3 -0.203390 14 \n", |
||
| 8932 | "90394 2 1.249860 0.592577 -0.3 -0.406780 11 \n", |
||
| 8933 | "23519 2 1.249860 0.592577 -0.3 -0.338983 12 \n", |
||
| 8934 | "41043 2 1.249860 0.592577 -0.3 -0.271186 13 \n", |
||
| 8935 | "\n", |
||
| 8936 | " pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le pos_inc2_grp_le \\\n", |
||
| 8937 | "85421 0.135593 1.695991 1.696335 3 3 \n", |
||
| 8938 | "46168 0.000000 1.639649 1.660400 3 3 \n", |
||
| 8939 | "90394 0.203390 1.660400 1.639587 3 3 \n", |
||
| 8940 | "23519 0.135593 1.639587 1.660400 3 3 \n", |
||
| 8941 | "41043 0.067797 1.660400 1.639649 3 3 \n", |
||
| 8942 | "\n", |
||
| 8943 | " pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 pos_inc2_enc_0 \\\n", |
||
| 8944 | "85421 0.0 0.0 0.0 0.0 \n", |
||
| 8945 | "46168 0.0 0.0 0.0 0.0 \n", |
||
| 8946 | "90394 0.0 0.0 0.0 0.0 \n", |
||
| 8947 | "23519 0.0 0.0 0.0 0.0 \n", |
||
| 8948 | "41043 0.0 0.0 0.0 0.0 \n", |
||
| 8949 | "\n", |
||
| 8950 | " pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le pos_range pos_rel \\\n", |
||
| 8951 | "85421 0.0 0.0 0 0.057814 -0.451618 \n", |
||
| 8952 | "46168 0.0 0.0 0 -0.018112 -0.193775 \n", |
||
| 8953 | "90394 0.0 0.0 0 -0.018112 -0.580318 \n", |
||
| 8954 | "23519 0.0 0.0 0 -0.018112 -0.451810 \n", |
||
| 8955 | "41043 0.0 0.0 0 -0.018112 -0.322287 \n", |
||
| 8956 | "\n", |
||
| 8957 | " pos_zeros pos_inc_rng pos_zeros_le PxlMin_grp_le PxlMin_zero any \\\n", |
||
| 8958 | "85421 0.0 -0.599737 0 0 True NaN \n", |
||
| 8959 | "46168 0.0 -0.584230 0 2 False NaN \n", |
||
| 8960 | "90394 0.0 -0.584230 0 2 False NaN \n", |
||
| 8961 | "23519 0.0 -0.584230 0 2 False NaN \n", |
||
| 8962 | "41043 0.0 -0.584230 0 2 False NaN \n", |
||
| 8963 | "\n", |
||
| 8964 | " epidural intraparenchymal intraventricular subarachnoid subdural \\\n", |
||
| 8965 | "85421 NaN NaN NaN NaN NaN \n", |
||
| 8966 | "46168 NaN NaN NaN NaN NaN \n", |
||
| 8967 | "90394 NaN NaN NaN NaN NaN \n", |
||
| 8968 | "23519 NaN NaN NaN NaN NaN \n", |
||
| 8969 | "41043 NaN NaN NaN NaN NaN \n", |
||
| 8970 | "\n", |
||
| 8971 | " any_series SeriesPP yuval_idx pred_any \n", |
||
| 8972 | "85421 False -0.5 111470 0.902253 \n", |
||
| 8973 | "46168 False -0.5 35441 0.911084 \n", |
||
| 8974 | "90394 False -0.5 35438 0.911625 \n", |
||
| 8975 | "23519 False -0.5 35439 0.916977 \n", |
||
| 8976 | "41043 False -0.5 35440 0.917555 \n", |
||
| 8977 | "\n", |
||
| 8978 | "[5 rows x 101 columns]" |
||
| 8979 | ] |
||
| 8980 | }, |
||
| 8981 | "execution_count": 64, |
||
| 8982 | "metadata": {}, |
||
| 8983 | "output_type": "execute_result" |
||
| 8984 | } |
||
| 8985 | ], |
||
| 8986 | "source": [ |
||
| 8987 | "test_md['pred_any'] = predictions[:,1]\n", |
||
| 8988 | "test_md.sort_values('pred_any').tail()" |
||
| 8989 | ] |
||
| 8990 | }, |
||
| 8991 | { |
||
| 8992 | "cell_type": "code", |
||
| 8993 | "execution_count": 65, |
||
| 8994 | "metadata": {}, |
||
| 8995 | "outputs": [ |
||
| 8996 | { |
||
| 8997 | "data": { |
||
| 8998 | "text/html": [ |
||
| 8999 | "<div>\n", |
||
| 9000 | "<style scoped>\n", |
||
| 9001 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 9002 | " vertical-align: middle;\n", |
||
| 9003 | " }\n", |
||
| 9004 | "\n", |
||
| 9005 | " .dataframe tbody tr th {\n", |
||
| 9006 | " vertical-align: top;\n", |
||
| 9007 | " }\n", |
||
| 9008 | "\n", |
||
| 9009 | " .dataframe thead th {\n", |
||
| 9010 | " text-align: right;\n", |
||
| 9011 | " }\n", |
||
| 9012 | "</style>\n", |
||
| 9013 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 9014 | " <thead>\n", |
||
| 9015 | " <tr style=\"text-align: right;\">\n", |
||
| 9016 | " <th></th>\n", |
||
| 9017 | " <th>img_id</th>\n", |
||
| 9018 | " <th>SOPInstanceUID</th>\n", |
||
| 9019 | " <th>Modality</th>\n", |
||
| 9020 | " <th>PatientID</th>\n", |
||
| 9021 | " <th>StudyInstanceUID</th>\n", |
||
| 9022 | " <th>SeriesInstanceUID</th>\n", |
||
| 9023 | " <th>StudyID</th>\n", |
||
| 9024 | " <th>ImagePositionPatient</th>\n", |
||
| 9025 | " <th>ImageOrientationPatient</th>\n", |
||
| 9026 | " <th>SamplesPerPixel</th>\n", |
||
| 9027 | " <th>PhotometricInterpretation</th>\n", |
||
| 9028 | " <th>Rows</th>\n", |
||
| 9029 | " <th>Columns</th>\n", |
||
| 9030 | " <th>PixelSpacing</th>\n", |
||
| 9031 | " <th>BitsAllocated</th>\n", |
||
| 9032 | " <th>BitsStored</th>\n", |
||
| 9033 | " <th>HighBit</th>\n", |
||
| 9034 | " <th>PixelRepresentation</th>\n", |
||
| 9035 | " <th>WindowCenter</th>\n", |
||
| 9036 | " <th>WindowWidth</th>\n", |
||
| 9037 | " <th>RescaleIntercept</th>\n", |
||
| 9038 | " <th>RescaleSlope</th>\n", |
||
| 9039 | " <th>PxlMin</th>\n", |
||
| 9040 | " <th>PxlMax</th>\n", |
||
| 9041 | " <th>PxlStd</th>\n", |
||
| 9042 | " <th>PxlMean</th>\n", |
||
| 9043 | " <th>test</th>\n", |
||
| 9044 | " <th>test2</th>\n", |
||
| 9045 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 9046 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 9047 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 9048 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 9049 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 9050 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 9051 | " <th>ImagePositionPatient_0</th>\n", |
||
| 9052 | " <th>ImagePositionPatient_1</th>\n", |
||
| 9053 | " <th>ImagePositionPatient_2</th>\n", |
||
| 9054 | " <th>PixelSpacing_0</th>\n", |
||
| 9055 | " <th>PixelSpacing_1</th>\n", |
||
| 9056 | " <th>WindowCenter_0</th>\n", |
||
| 9057 | " <th>WindowCenter_1</th>\n", |
||
| 9058 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 9059 | " <th>WindowWidth_0</th>\n", |
||
| 9060 | " <th>WindowWidth_1</th>\n", |
||
| 9061 | " <th>WindowWidth_0_le</th>\n", |
||
| 9062 | " <th>WindowWidth_1_le</th>\n", |
||
| 9063 | " <th>WindowCenter_1_le</th>\n", |
||
| 9064 | " <th>BitType_le</th>\n", |
||
| 9065 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 9066 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 9067 | " <th>...</th>\n", |
||
| 9068 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 9069 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 9070 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 9071 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 9072 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 9073 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 9074 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 9075 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 9076 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 9077 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 9078 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 9079 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 9080 | " <th>PixelSpacing_1_f</th>\n", |
||
| 9081 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 9082 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 9083 | " <th>WindowCenter_0_le</th>\n", |
||
| 9084 | " <th>pos_max</th>\n", |
||
| 9085 | " <th>pos_min</th>\n", |
||
| 9086 | " <th>pos_size</th>\n", |
||
| 9087 | " <th>pos_idx1</th>\n", |
||
| 9088 | " <th>pos_idx</th>\n", |
||
| 9089 | " <th>pos_idx2</th>\n", |
||
| 9090 | " <th>pos_inc1</th>\n", |
||
| 9091 | " <th>pos_inc2</th>\n", |
||
| 9092 | " <th>pos_inc1_grp_le</th>\n", |
||
| 9093 | " <th>pos_inc2_grp_le</th>\n", |
||
| 9094 | " <th>pos_inc1_r1</th>\n", |
||
| 9095 | " <th>pos_inc1_r0001</th>\n", |
||
| 9096 | " <th>pos_inc1_enc_0</th>\n", |
||
| 9097 | " <th>pos_inc2_enc_0</th>\n", |
||
| 9098 | " <th>pos_inc1_enc_1</th>\n", |
||
| 9099 | " <th>pos_inc2_enc_1</th>\n", |
||
| 9100 | " <th>pos_size_le</th>\n", |
||
| 9101 | " <th>pos_range</th>\n", |
||
| 9102 | " <th>pos_rel</th>\n", |
||
| 9103 | " <th>pos_zeros</th>\n", |
||
| 9104 | " <th>pos_inc_rng</th>\n", |
||
| 9105 | " <th>pos_zeros_le</th>\n", |
||
| 9106 | " <th>PxlMin_grp_le</th>\n", |
||
| 9107 | " <th>PxlMin_zero</th>\n", |
||
| 9108 | " <th>any</th>\n", |
||
| 9109 | " <th>epidural</th>\n", |
||
| 9110 | " <th>intraparenchymal</th>\n", |
||
| 9111 | " <th>intraventricular</th>\n", |
||
| 9112 | " <th>subarachnoid</th>\n", |
||
| 9113 | " <th>subdural</th>\n", |
||
| 9114 | " <th>any_series</th>\n", |
||
| 9115 | " <th>SeriesPP</th>\n", |
||
| 9116 | " <th>yuval_idx</th>\n", |
||
| 9117 | " <th>pred_any</th>\n", |
||
| 9118 | " </tr>\n", |
||
| 9119 | " </thead>\n", |
||
| 9120 | " <tbody>\n", |
||
| 9121 | " <tr>\n", |
||
| 9122 | " <td>56318</td>\n", |
||
| 9123 | " <td>aaea1517d</td>\n", |
||
| 9124 | " <td>ID_aaea1517d</td>\n", |
||
| 9125 | " <td>CT</td>\n", |
||
| 9126 | " <td>ID_e875aaac</td>\n", |
||
| 9127 | " <td>ID_ace87fc419</td>\n", |
||
| 9128 | " <td>ID_c2050c1b62</td>\n", |
||
| 9129 | " <td>NaN</td>\n", |
||
| 9130 | " <td>['-126.408875', '-126.408875', '157.507935']</td>\n", |
||
| 9131 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 9132 | " <td>1</td>\n", |
||
| 9133 | " <td>MONOCHROME2</td>\n", |
||
| 9134 | " <td>512</td>\n", |
||
| 9135 | " <td>512</td>\n", |
||
| 9136 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 9137 | " <td>16</td>\n", |
||
| 9138 | " <td>16</td>\n", |
||
| 9139 | " <td>15</td>\n", |
||
| 9140 | " <td>1</td>\n", |
||
| 9141 | " <td>35.000000</td>\n", |
||
| 9142 | " <td>135.000000</td>\n", |
||
| 9143 | " <td>-1024.0</td>\n", |
||
| 9144 | " <td>1.0</td>\n", |
||
| 9145 | " <td>1.301333</td>\n", |
||
| 9146 | " <td>0.309333</td>\n", |
||
| 9147 | " <td>-0.835506</td>\n", |
||
| 9148 | " <td>1.294749</td>\n", |
||
| 9149 | " <td>False</td>\n", |
||
| 9150 | " <td>True</td>\n", |
||
| 9151 | " <td>1.0</td>\n", |
||
| 9152 | " <td>0.0</td>\n", |
||
| 9153 | " <td>0.0</td>\n", |
||
| 9154 | " <td>0.0</td>\n", |
||
| 9155 | " <td>1.000000</td>\n", |
||
| 9156 | " <td>0.000000</td>\n", |
||
| 9157 | " <td>-126.408875</td>\n", |
||
| 9158 | " <td>-126.408875</td>\n", |
||
| 9159 | " <td>157.507935</td>\n", |
||
| 9160 | " <td>0.494751</td>\n", |
||
| 9161 | " <td>0.494751</td>\n", |
||
| 9162 | " <td>35.0</td>\n", |
||
| 9163 | " <td>NaN</td>\n", |
||
| 9164 | " <td>True</td>\n", |
||
| 9165 | " <td>135.0</td>\n", |
||
| 9166 | " <td>NaN</td>\n", |
||
| 9167 | " <td>3</td>\n", |
||
| 9168 | " <td>1</td>\n", |
||
| 9169 | " <td>3</td>\n", |
||
| 9170 | " <td>0</td>\n", |
||
| 9171 | " <td>-1.333333</td>\n", |
||
| 9172 | " <td>1.0</td>\n", |
||
| 9173 | " <td>...</td>\n", |
||
| 9174 | " <td>-0.666667</td>\n", |
||
| 9175 | " <td>1.0</td>\n", |
||
| 9176 | " <td>False</td>\n", |
||
| 9177 | " <td>-0.720000</td>\n", |
||
| 9178 | " <td>0.0</td>\n", |
||
| 9179 | " <td>1.0</td>\n", |
||
| 9180 | " <td>1.0</td>\n", |
||
| 9181 | " <td>1.0</td>\n", |
||
| 9182 | " <td>-0.818785</td>\n", |
||
| 9183 | " <td>0.0</td>\n", |
||
| 9184 | " <td>-0.013599</td>\n", |
||
| 9185 | " <td>0.0</td>\n", |
||
| 9186 | " <td>-0.48</td>\n", |
||
| 9187 | " <td>0.0</td>\n", |
||
| 9188 | " <td>True</td>\n", |
||
| 9189 | " <td>3</td>\n", |
||
| 9190 | " <td>0.850032</td>\n", |
||
| 9191 | " <td>-0.009968</td>\n", |
||
| 9192 | " <td>0.9</td>\n", |
||
| 9193 | " <td>1.016949</td>\n", |
||
| 9194 | " <td>32</td>\n", |
||
| 9195 | " <td>-0.406780</td>\n", |
||
| 9196 | " <td>-1.500000</td>\n", |
||
| 9197 | " <td>-1.500000</td>\n", |
||
| 9198 | " <td>3</td>\n", |
||
| 9199 | " <td>3</td>\n", |
||
| 9200 | " <td>1.0</td>\n", |
||
| 9201 | " <td>1.0</td>\n", |
||
| 9202 | " <td>0.0</td>\n", |
||
| 9203 | " <td>0.0</td>\n", |
||
| 9204 | " <td>1.0</td>\n", |
||
| 9205 | " <td>1.0</td>\n", |
||
| 9206 | " <td>9</td>\n", |
||
| 9207 | " <td>1.333334</td>\n", |
||
| 9208 | " <td>0.976744</td>\n", |
||
| 9209 | " <td>0.0</td>\n", |
||
| 9210 | " <td>-0.599997</td>\n", |
||
| 9211 | " <td>0</td>\n", |
||
| 9212 | " <td>2</td>\n", |
||
| 9213 | " <td>False</td>\n", |
||
| 9214 | " <td>NaN</td>\n", |
||
| 9215 | " <td>NaN</td>\n", |
||
| 9216 | " <td>NaN</td>\n", |
||
| 9217 | " <td>NaN</td>\n", |
||
| 9218 | " <td>NaN</td>\n", |
||
| 9219 | " <td>NaN</td>\n", |
||
| 9220 | " <td>False</td>\n", |
||
| 9221 | " <td>-0.5</td>\n", |
||
| 9222 | " <td>20605</td>\n", |
||
| 9223 | " <td>0.995869</td>\n", |
||
| 9224 | " </tr>\n", |
||
| 9225 | " <tr>\n", |
||
| 9226 | " <td>11838</td>\n", |
||
| 9227 | " <td>8a3a7113f</td>\n", |
||
| 9228 | " <td>ID_8a3a7113f</td>\n", |
||
| 9229 | " <td>CT</td>\n", |
||
| 9230 | " <td>ID_1f7020f7</td>\n", |
||
| 9231 | " <td>ID_ffd91b71d1</td>\n", |
||
| 9232 | " <td>ID_a0997b616a</td>\n", |
||
| 9233 | " <td>NaN</td>\n", |
||
| 9234 | " <td>['-118', '20.437079', '167.587618']</td>\n", |
||
| 9235 | " <td>['1', '0', '0', '0', '0.978147601', '-0.207911...</td>\n", |
||
| 9236 | " <td>1</td>\n", |
||
| 9237 | " <td>MONOCHROME2</td>\n", |
||
| 9238 | " <td>512</td>\n", |
||
| 9239 | " <td>512</td>\n", |
||
| 9240 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 9241 | " <td>16</td>\n", |
||
| 9242 | " <td>12</td>\n", |
||
| 9243 | " <td>11</td>\n", |
||
| 9244 | " <td>0</td>\n", |
||
| 9245 | " <td>['00040', '00040']</td>\n", |
||
| 9246 | " <td>['00080', '00080']</td>\n", |
||
| 9247 | " <td>-1024.0</td>\n", |
||
| 9248 | " <td>1.0</td>\n", |
||
| 9249 | " <td>1.301333</td>\n", |
||
| 9250 | " <td>0.126667</td>\n", |
||
| 9251 | " <td>-0.975261</td>\n", |
||
| 9252 | " <td>0.972069</td>\n", |
||
| 9253 | " <td>False</td>\n", |
||
| 9254 | " <td>True</td>\n", |
||
| 9255 | " <td>1.0</td>\n", |
||
| 9256 | " <td>0.0</td>\n", |
||
| 9257 | " <td>0.0</td>\n", |
||
| 9258 | " <td>0.0</td>\n", |
||
| 9259 | " <td>0.978148</td>\n", |
||
| 9260 | " <td>-0.207912</td>\n", |
||
| 9261 | " <td>-118.000000</td>\n", |
||
| 9262 | " <td>20.437079</td>\n", |
||
| 9263 | " <td>167.587618</td>\n", |
||
| 9264 | " <td>0.488281</td>\n", |
||
| 9265 | " <td>0.488281</td>\n", |
||
| 9266 | " <td>40.0</td>\n", |
||
| 9267 | " <td>40.0</td>\n", |
||
| 9268 | " <td>False</td>\n", |
||
| 9269 | " <td>80.0</td>\n", |
||
| 9270 | " <td>80.0</td>\n", |
||
| 9271 | " <td>0</td>\n", |
||
| 9272 | " <td>0</td>\n", |
||
| 9273 | " <td>1</td>\n", |
||
| 9274 | " <td>1</td>\n", |
||
| 9275 | " <td>2.375301</td>\n", |
||
| 9276 | " <td>0.0</td>\n", |
||
| 9277 | " <td>...</td>\n", |
||
| 9278 | " <td>1.947255</td>\n", |
||
| 9279 | " <td>0.0</td>\n", |
||
| 9280 | " <td>False</td>\n", |
||
| 9281 | " <td>1.466667</td>\n", |
||
| 9282 | " <td>0.0</td>\n", |
||
| 9283 | " <td>0.0</td>\n", |
||
| 9284 | " <td>1.0</td>\n", |
||
| 9285 | " <td>1.0</td>\n", |
||
| 9286 | " <td>1.139161</td>\n", |
||
| 9287 | " <td>1.0</td>\n", |
||
| 9288 | " <td>0.000842</td>\n", |
||
| 9289 | " <td>0.0</td>\n", |
||
| 9290 | " <td>-0.48</td>\n", |
||
| 9291 | " <td>1.0</td>\n", |
||
| 9292 | " <td>False</td>\n", |
||
| 9293 | " <td>2</td>\n", |
||
| 9294 | " <td>1.078350</td>\n", |
||
| 9295 | " <td>0.445865</td>\n", |
||
| 9296 | " <td>-0.3</td>\n", |
||
| 9297 | " <td>-0.406780</td>\n", |
||
| 9298 | " <td>11</td>\n", |
||
| 9299 | " <td>0.203390</td>\n", |
||
| 9300 | " <td>1.560669</td>\n", |
||
| 9301 | " <td>1.539367</td>\n", |
||
| 9302 | " <td>3</td>\n", |
||
| 9303 | " <td>3</td>\n", |
||
| 9304 | " <td>0.0</td>\n", |
||
| 9305 | " <td>0.0</td>\n", |
||
| 9306 | " <td>0.0</td>\n", |
||
| 9307 | " <td>0.0</td>\n", |
||
| 9308 | " <td>0.0</td>\n", |
||
| 9309 | " <td>0.0</td>\n", |
||
| 9310 | " <td>0</td>\n", |
||
| 9311 | " <td>-0.183431</td>\n", |
||
| 9312 | " <td>-0.580297</td>\n", |
||
| 9313 | " <td>0.0</td>\n", |
||
| 9314 | " <td>-0.583175</td>\n", |
||
| 9315 | " <td>0</td>\n", |
||
| 9316 | " <td>2</td>\n", |
||
| 9317 | " <td>False</td>\n", |
||
| 9318 | " <td>NaN</td>\n", |
||
| 9319 | " <td>NaN</td>\n", |
||
| 9320 | " <td>NaN</td>\n", |
||
| 9321 | " <td>NaN</td>\n", |
||
| 9322 | " <td>NaN</td>\n", |
||
| 9323 | " <td>NaN</td>\n", |
||
| 9324 | " <td>False</td>\n", |
||
| 9325 | " <td>-0.5</td>\n", |
||
| 9326 | " <td>49264</td>\n", |
||
| 9327 | " <td>0.995902</td>\n", |
||
| 9328 | " </tr>\n", |
||
| 9329 | " <tr>\n", |
||
| 9330 | " <td>60633</td>\n", |
||
| 9331 | " <td>fd5080c37</td>\n", |
||
| 9332 | " <td>ID_fd5080c37</td>\n", |
||
| 9333 | " <td>CT</td>\n", |
||
| 9334 | " <td>ID_16b922cc</td>\n", |
||
| 9335 | " <td>ID_b48b0482e3</td>\n", |
||
| 9336 | " <td>ID_653f493476</td>\n", |
||
| 9337 | " <td>NaN</td>\n", |
||
| 9338 | " <td>['-125', '32.528565', '161.22819']</td>\n", |
||
| 9339 | " <td>['1', '0', '0', '0', '0.939692621', '-0.342020...</td>\n", |
||
| 9340 | " <td>1</td>\n", |
||
| 9341 | " <td>MONOCHROME2</td>\n", |
||
| 9342 | " <td>512</td>\n", |
||
| 9343 | " <td>512</td>\n", |
||
| 9344 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 9345 | " <td>16</td>\n", |
||
| 9346 | " <td>12</td>\n", |
||
| 9347 | " <td>11</td>\n", |
||
| 9348 | " <td>0</td>\n", |
||
| 9349 | " <td>['00040', '00040']</td>\n", |
||
| 9350 | " <td>['00080', '00080']</td>\n", |
||
| 9351 | " <td>-1024.0</td>\n", |
||
| 9352 | " <td>1.0</td>\n", |
||
| 9353 | " <td>1.301333</td>\n", |
||
| 9354 | " <td>-0.090667</td>\n", |
||
| 9355 | " <td>-0.796026</td>\n", |
||
| 9356 | " <td>1.330736</td>\n", |
||
| 9357 | " <td>False</td>\n", |
||
| 9358 | " <td>True</td>\n", |
||
| 9359 | " <td>1.0</td>\n", |
||
| 9360 | " <td>0.0</td>\n", |
||
| 9361 | " <td>0.0</td>\n", |
||
| 9362 | " <td>0.0</td>\n", |
||
| 9363 | " <td>0.939693</td>\n", |
||
| 9364 | " <td>-0.342020</td>\n", |
||
| 9365 | " <td>-125.000000</td>\n", |
||
| 9366 | " <td>32.528565</td>\n", |
||
| 9367 | " <td>161.228190</td>\n", |
||
| 9368 | " <td>0.488281</td>\n", |
||
| 9369 | " <td>0.488281</td>\n", |
||
| 9370 | " <td>40.0</td>\n", |
||
| 9371 | " <td>40.0</td>\n", |
||
| 9372 | " <td>False</td>\n", |
||
| 9373 | " <td>80.0</td>\n", |
||
| 9374 | " <td>80.0</td>\n", |
||
| 9375 | " <td>0</td>\n", |
||
| 9376 | " <td>0</td>\n", |
||
| 9377 | " <td>1</td>\n", |
||
| 9378 | " <td>1</td>\n", |
||
| 9379 | " <td>1.862568</td>\n", |
||
| 9380 | " <td>0.0</td>\n", |
||
| 9381 | " <td>...</td>\n", |
||
| 9382 | " <td>1.053199</td>\n", |
||
| 9383 | " <td>0.0</td>\n", |
||
| 9384 | " <td>False</td>\n", |
||
| 9385 | " <td>-0.720000</td>\n", |
||
| 9386 | " <td>1.0</td>\n", |
||
| 9387 | " <td>0.0</td>\n", |
||
| 9388 | " <td>1.0</td>\n", |
||
| 9389 | " <td>1.0</td>\n", |
||
| 9390 | " <td>1.300381</td>\n", |
||
| 9391 | " <td>1.0</td>\n", |
||
| 9392 | " <td>-0.008269</td>\n", |
||
| 9393 | " <td>0.0</td>\n", |
||
| 9394 | " <td>-0.48</td>\n", |
||
| 9395 | " <td>1.0</td>\n", |
||
| 9396 | " <td>False</td>\n", |
||
| 9397 | " <td>2</td>\n", |
||
| 9398 | " <td>1.132596</td>\n", |
||
| 9399 | " <td>0.432912</td>\n", |
||
| 9400 | " <td>-0.1</td>\n", |
||
| 9401 | " <td>-0.474576</td>\n", |
||
| 9402 | " <td>10</td>\n", |
||
| 9403 | " <td>0.406780</td>\n", |
||
| 9404 | " <td>1.639588</td>\n", |
||
| 9405 | " <td>1.660400</td>\n", |
||
| 9406 | " <td>3</td>\n", |
||
| 9407 | " <td>3</td>\n", |
||
| 9408 | " <td>0.0</td>\n", |
||
| 9409 | " <td>0.0</td>\n", |
||
| 9410 | " <td>0.0</td>\n", |
||
| 9411 | " <td>0.0</td>\n", |
||
| 9412 | " <td>0.0</td>\n", |
||
| 9413 | " <td>0.0</td>\n", |
||
| 9414 | " <td>4</td>\n", |
||
| 9415 | " <td>0.264557</td>\n", |
||
| 9416 | " <td>-0.788021</td>\n", |
||
| 9417 | " <td>0.0</td>\n", |
||
| 9418 | " <td>-0.584137</td>\n", |
||
| 9419 | " <td>0</td>\n", |
||
| 9420 | " <td>2</td>\n", |
||
| 9421 | " <td>False</td>\n", |
||
| 9422 | " <td>NaN</td>\n", |
||
| 9423 | " <td>NaN</td>\n", |
||
| 9424 | " <td>NaN</td>\n", |
||
| 9425 | " <td>NaN</td>\n", |
||
| 9426 | " <td>NaN</td>\n", |
||
| 9427 | " <td>NaN</td>\n", |
||
| 9428 | " <td>False</td>\n", |
||
| 9429 | " <td>-0.5</td>\n", |
||
| 9430 | " <td>59637</td>\n", |
||
| 9431 | " <td>0.995940</td>\n", |
||
| 9432 | " </tr>\n", |
||
| 9433 | " <tr>\n", |
||
| 9434 | " <td>30971</td>\n", |
||
| 9435 | " <td>8dbff5245</td>\n", |
||
| 9436 | " <td>ID_8dbff5245</td>\n", |
||
| 9437 | " <td>CT</td>\n", |
||
| 9438 | " <td>ID_f0ef989c</td>\n", |
||
| 9439 | " <td>ID_fcdfd2db4e</td>\n", |
||
| 9440 | " <td>ID_b9627ee31c</td>\n", |
||
| 9441 | " <td>NaN</td>\n", |
||
| 9442 | " <td>['-125', '19.0514449', '123.026026']</td>\n", |
||
| 9443 | " <td>['1', '0', '0', '0', '0.981627183', '-0.190808...</td>\n", |
||
| 9444 | " <td>1</td>\n", |
||
| 9445 | " <td>MONOCHROME2</td>\n", |
||
| 9446 | " <td>512</td>\n", |
||
| 9447 | " <td>512</td>\n", |
||
| 9448 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 9449 | " <td>16</td>\n", |
||
| 9450 | " <td>12</td>\n", |
||
| 9451 | " <td>11</td>\n", |
||
| 9452 | " <td>0</td>\n", |
||
| 9453 | " <td>['00040', '00040']</td>\n", |
||
| 9454 | " <td>['00080', '00080']</td>\n", |
||
| 9455 | " <td>-1024.0</td>\n", |
||
| 9456 | " <td>1.0</td>\n", |
||
| 9457 | " <td>1.301333</td>\n", |
||
| 9458 | " <td>0.164000</td>\n", |
||
| 9459 | " <td>-0.675198</td>\n", |
||
| 9460 | " <td>1.380203</td>\n", |
||
| 9461 | " <td>False</td>\n", |
||
| 9462 | " <td>True</td>\n", |
||
| 9463 | " <td>1.0</td>\n", |
||
| 9464 | " <td>0.0</td>\n", |
||
| 9465 | " <td>0.0</td>\n", |
||
| 9466 | " <td>0.0</td>\n", |
||
| 9467 | " <td>0.981627</td>\n", |
||
| 9468 | " <td>-0.190809</td>\n", |
||
| 9469 | " <td>-125.000000</td>\n", |
||
| 9470 | " <td>19.051445</td>\n", |
||
| 9471 | " <td>123.026026</td>\n", |
||
| 9472 | " <td>0.488281</td>\n", |
||
| 9473 | " <td>0.488281</td>\n", |
||
| 9474 | " <td>40.0</td>\n", |
||
| 9475 | " <td>40.0</td>\n", |
||
| 9476 | " <td>False</td>\n", |
||
| 9477 | " <td>80.0</td>\n", |
||
| 9478 | " <td>80.0</td>\n", |
||
| 9479 | " <td>0</td>\n", |
||
| 9480 | " <td>0</td>\n", |
||
| 9481 | " <td>1</td>\n", |
||
| 9482 | " <td>1</td>\n", |
||
| 9483 | " <td>2.421696</td>\n", |
||
| 9484 | " <td>0.0</td>\n", |
||
| 9485 | " <td>...</td>\n", |
||
| 9486 | " <td>2.061273</td>\n", |
||
| 9487 | " <td>0.0</td>\n", |
||
| 9488 | " <td>False</td>\n", |
||
| 9489 | " <td>-0.720000</td>\n", |
||
| 9490 | " <td>1.0</td>\n", |
||
| 9491 | " <td>0.0</td>\n", |
||
| 9492 | " <td>1.0</td>\n", |
||
| 9493 | " <td>1.0</td>\n", |
||
| 9494 | " <td>1.120686</td>\n", |
||
| 9495 | " <td>1.0</td>\n", |
||
| 9496 | " <td>-0.063000</td>\n", |
||
| 9497 | " <td>0.0</td>\n", |
||
| 9498 | " <td>-0.48</td>\n", |
||
| 9499 | " <td>1.0</td>\n", |
||
| 9500 | " <td>False</td>\n", |
||
| 9501 | " <td>2</td>\n", |
||
| 9502 | " <td>0.940904</td>\n", |
||
| 9503 | " <td>0.267694</td>\n", |
||
| 9504 | " <td>-0.1</td>\n", |
||
| 9505 | " <td>-0.406780</td>\n", |
||
| 9506 | " <td>11</td>\n", |
||
| 9507 | " <td>0.338983</td>\n", |
||
| 9508 | " <td>1.551270</td>\n", |
||
| 9509 | " <td>1.548767</td>\n", |
||
| 9510 | " <td>3</td>\n", |
||
| 9511 | " <td>3</td>\n", |
||
| 9512 | " <td>0.0</td>\n", |
||
| 9513 | " <td>0.0</td>\n", |
||
| 9514 | " <td>0.0</td>\n", |
||
| 9515 | " <td>0.0</td>\n", |
||
| 9516 | " <td>0.0</td>\n", |
||
| 9517 | " <td>0.0</td>\n", |
||
| 9518 | " <td>4</td>\n", |
||
| 9519 | " <td>0.088070</td>\n", |
||
| 9520 | " <td>-0.666627</td>\n", |
||
| 9521 | " <td>0.0</td>\n", |
||
| 9522 | " <td>-0.597988</td>\n", |
||
| 9523 | " <td>0</td>\n", |
||
| 9524 | " <td>2</td>\n", |
||
| 9525 | " <td>False</td>\n", |
||
| 9526 | " <td>NaN</td>\n", |
||
| 9527 | " <td>NaN</td>\n", |
||
| 9528 | " <td>NaN</td>\n", |
||
| 9529 | " <td>NaN</td>\n", |
||
| 9530 | " <td>NaN</td>\n", |
||
| 9531 | " <td>NaN</td>\n", |
||
| 9532 | " <td>False</td>\n", |
||
| 9533 | " <td>-0.5</td>\n", |
||
| 9534 | " <td>59366</td>\n", |
||
| 9535 | " <td>0.995958</td>\n", |
||
| 9536 | " </tr>\n", |
||
| 9537 | " <tr>\n", |
||
| 9538 | " <td>23816</td>\n", |
||
| 9539 | " <td>423cee314</td>\n", |
||
| 9540 | " <td>ID_423cee314</td>\n", |
||
| 9541 | " <td>CT</td>\n", |
||
| 9542 | " <td>ID_e875aaac</td>\n", |
||
| 9543 | " <td>ID_ace87fc419</td>\n", |
||
| 9544 | " <td>ID_c2050c1b62</td>\n", |
||
| 9545 | " <td>NaN</td>\n", |
||
| 9546 | " <td>['-126.408875', '-126.408875', '167.507935']</td>\n", |
||
| 9547 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 9548 | " <td>1</td>\n", |
||
| 9549 | " <td>MONOCHROME2</td>\n", |
||
| 9550 | " <td>512</td>\n", |
||
| 9551 | " <td>512</td>\n", |
||
| 9552 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 9553 | " <td>16</td>\n", |
||
| 9554 | " <td>16</td>\n", |
||
| 9555 | " <td>15</td>\n", |
||
| 9556 | " <td>1</td>\n", |
||
| 9557 | " <td>35.000000</td>\n", |
||
| 9558 | " <td>135.000000</td>\n", |
||
| 9559 | " <td>-1024.0</td>\n", |
||
| 9560 | " <td>1.0</td>\n", |
||
| 9561 | " <td>1.301333</td>\n", |
||
| 9562 | " <td>0.265333</td>\n", |
||
| 9563 | " <td>-0.826401</td>\n", |
||
| 9564 | " <td>1.185491</td>\n", |
||
| 9565 | " <td>False</td>\n", |
||
| 9566 | " <td>True</td>\n", |
||
| 9567 | " <td>1.0</td>\n", |
||
| 9568 | " <td>0.0</td>\n", |
||
| 9569 | " <td>0.0</td>\n", |
||
| 9570 | " <td>0.0</td>\n", |
||
| 9571 | " <td>1.000000</td>\n", |
||
| 9572 | " <td>0.000000</td>\n", |
||
| 9573 | " <td>-126.408875</td>\n", |
||
| 9574 | " <td>-126.408875</td>\n", |
||
| 9575 | " <td>167.507935</td>\n", |
||
| 9576 | " <td>0.494751</td>\n", |
||
| 9577 | " <td>0.494751</td>\n", |
||
| 9578 | " <td>35.0</td>\n", |
||
| 9579 | " <td>NaN</td>\n", |
||
| 9580 | " <td>True</td>\n", |
||
| 9581 | " <td>135.0</td>\n", |
||
| 9582 | " <td>NaN</td>\n", |
||
| 9583 | " <td>3</td>\n", |
||
| 9584 | " <td>1</td>\n", |
||
| 9585 | " <td>3</td>\n", |
||
| 9586 | " <td>0</td>\n", |
||
| 9587 | " <td>-1.333333</td>\n", |
||
| 9588 | " <td>1.0</td>\n", |
||
| 9589 | " <td>...</td>\n", |
||
| 9590 | " <td>-0.666667</td>\n", |
||
| 9591 | " <td>1.0</td>\n", |
||
| 9592 | " <td>False</td>\n", |
||
| 9593 | " <td>-0.720000</td>\n", |
||
| 9594 | " <td>0.0</td>\n", |
||
| 9595 | " <td>1.0</td>\n", |
||
| 9596 | " <td>1.0</td>\n", |
||
| 9597 | " <td>1.0</td>\n", |
||
| 9598 | " <td>-0.818785</td>\n", |
||
| 9599 | " <td>0.0</td>\n", |
||
| 9600 | " <td>0.000728</td>\n", |
||
| 9601 | " <td>0.0</td>\n", |
||
| 9602 | " <td>-0.48</td>\n", |
||
| 9603 | " <td>0.0</td>\n", |
||
| 9604 | " <td>True</td>\n", |
||
| 9605 | " <td>3</td>\n", |
||
| 9606 | " <td>0.850032</td>\n", |
||
| 9607 | " <td>-0.009968</td>\n", |
||
| 9608 | " <td>0.9</td>\n", |
||
| 9609 | " <td>1.152542</td>\n", |
||
| 9610 | " <td>34</td>\n", |
||
| 9611 | " <td>-0.542373</td>\n", |
||
| 9612 | " <td>-1.500000</td>\n", |
||
| 9613 | " <td>-1.500000</td>\n", |
||
| 9614 | " <td>3</td>\n", |
||
| 9615 | " <td>3</td>\n", |
||
| 9616 | " <td>1.0</td>\n", |
||
| 9617 | " <td>1.0</td>\n", |
||
| 9618 | " <td>0.0</td>\n", |
||
| 9619 | " <td>0.0</td>\n", |
||
| 9620 | " <td>1.0</td>\n", |
||
| 9621 | " <td>1.0</td>\n", |
||
| 9622 | " <td>9</td>\n", |
||
| 9623 | " <td>1.333334</td>\n", |
||
| 9624 | " <td>1.162791</td>\n", |
||
| 9625 | " <td>0.0</td>\n", |
||
| 9626 | " <td>-0.599997</td>\n", |
||
| 9627 | " <td>0</td>\n", |
||
| 9628 | " <td>2</td>\n", |
||
| 9629 | " <td>False</td>\n", |
||
| 9630 | " <td>NaN</td>\n", |
||
| 9631 | " <td>NaN</td>\n", |
||
| 9632 | " <td>NaN</td>\n", |
||
| 9633 | " <td>NaN</td>\n", |
||
| 9634 | " <td>NaN</td>\n", |
||
| 9635 | " <td>NaN</td>\n", |
||
| 9636 | " <td>False</td>\n", |
||
| 9637 | " <td>-0.5</td>\n", |
||
| 9638 | " <td>20607</td>\n", |
||
| 9639 | " <td>0.996068</td>\n", |
||
| 9640 | " </tr>\n", |
||
| 9641 | " </tbody>\n", |
||
| 9642 | "</table>\n", |
||
| 9643 | "<p>5 rows × 101 columns</p>\n", |
||
| 9644 | "</div>" |
||
| 9645 | ], |
||
| 9646 | "text/plain": [ |
||
| 9647 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 9648 | "56318 aaea1517d ID_aaea1517d CT ID_e875aaac ID_ace87fc419 \n", |
||
| 9649 | "11838 8a3a7113f ID_8a3a7113f CT ID_1f7020f7 ID_ffd91b71d1 \n", |
||
| 9650 | "60633 fd5080c37 ID_fd5080c37 CT ID_16b922cc ID_b48b0482e3 \n", |
||
| 9651 | "30971 8dbff5245 ID_8dbff5245 CT ID_f0ef989c ID_fcdfd2db4e \n", |
||
| 9652 | "23816 423cee314 ID_423cee314 CT ID_e875aaac ID_ace87fc419 \n", |
||
| 9653 | "\n", |
||
| 9654 | " SeriesInstanceUID StudyID \\\n", |
||
| 9655 | "56318 ID_c2050c1b62 NaN \n", |
||
| 9656 | "11838 ID_a0997b616a NaN \n", |
||
| 9657 | "60633 ID_653f493476 NaN \n", |
||
| 9658 | "30971 ID_b9627ee31c NaN \n", |
||
| 9659 | "23816 ID_c2050c1b62 NaN \n", |
||
| 9660 | "\n", |
||
| 9661 | " ImagePositionPatient \\\n", |
||
| 9662 | "56318 ['-126.408875', '-126.408875', '157.507935'] \n", |
||
| 9663 | "11838 ['-118', '20.437079', '167.587618'] \n", |
||
| 9664 | "60633 ['-125', '32.528565', '161.22819'] \n", |
||
| 9665 | "30971 ['-125', '19.0514449', '123.026026'] \n", |
||
| 9666 | "23816 ['-126.408875', '-126.408875', '167.507935'] \n", |
||
| 9667 | "\n", |
||
| 9668 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 9669 | "56318 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 9670 | "11838 ['1', '0', '0', '0', '0.978147601', '-0.207911... 1 \n", |
||
| 9671 | "60633 ['1', '0', '0', '0', '0.939692621', '-0.342020... 1 \n", |
||
| 9672 | "30971 ['1', '0', '0', '0', '0.981627183', '-0.190808... 1 \n", |
||
| 9673 | "23816 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 9674 | "\n", |
||
| 9675 | " PhotometricInterpretation Rows Columns \\\n", |
||
| 9676 | "56318 MONOCHROME2 512 512 \n", |
||
| 9677 | "11838 MONOCHROME2 512 512 \n", |
||
| 9678 | "60633 MONOCHROME2 512 512 \n", |
||
| 9679 | "30971 MONOCHROME2 512 512 \n", |
||
| 9680 | "23816 MONOCHROME2 512 512 \n", |
||
| 9681 | "\n", |
||
| 9682 | " PixelSpacing BitsAllocated BitsStored \\\n", |
||
| 9683 | "56318 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 9684 | "11838 ['0.48828125', '0.48828125'] 16 12 \n", |
||
| 9685 | "60633 ['0.48828125', '0.48828125'] 16 12 \n", |
||
| 9686 | "30971 ['0.48828125', '0.48828125'] 16 12 \n", |
||
| 9687 | "23816 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 9688 | "\n", |
||
| 9689 | " HighBit PixelRepresentation WindowCenter WindowWidth \\\n", |
||
| 9690 | "56318 15 1 35.000000 135.000000 \n", |
||
| 9691 | "11838 11 0 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 9692 | "60633 11 0 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 9693 | "30971 11 0 ['00040', '00040'] ['00080', '00080'] \n", |
||
| 9694 | "23816 15 1 35.000000 135.000000 \n", |
||
| 9695 | "\n", |
||
| 9696 | " RescaleIntercept RescaleSlope PxlMin PxlMax PxlStd PxlMean \\\n", |
||
| 9697 | "56318 -1024.0 1.0 1.301333 0.309333 -0.835506 1.294749 \n", |
||
| 9698 | "11838 -1024.0 1.0 1.301333 0.126667 -0.975261 0.972069 \n", |
||
| 9699 | "60633 -1024.0 1.0 1.301333 -0.090667 -0.796026 1.330736 \n", |
||
| 9700 | "30971 -1024.0 1.0 1.301333 0.164000 -0.675198 1.380203 \n", |
||
| 9701 | "23816 -1024.0 1.0 1.301333 0.265333 -0.826401 1.185491 \n", |
||
| 9702 | "\n", |
||
| 9703 | " test test2 ImageOrientationPatient_0 ImageOrientationPatient_1 \\\n", |
||
| 9704 | "56318 False True 1.0 0.0 \n", |
||
| 9705 | "11838 False True 1.0 0.0 \n", |
||
| 9706 | "60633 False True 1.0 0.0 \n", |
||
| 9707 | "30971 False True 1.0 0.0 \n", |
||
| 9708 | "23816 False True 1.0 0.0 \n", |
||
| 9709 | "\n", |
||
| 9710 | " ImageOrientationPatient_2 ImageOrientationPatient_3 \\\n", |
||
| 9711 | "56318 0.0 0.0 \n", |
||
| 9712 | "11838 0.0 0.0 \n", |
||
| 9713 | "60633 0.0 0.0 \n", |
||
| 9714 | "30971 0.0 0.0 \n", |
||
| 9715 | "23816 0.0 0.0 \n", |
||
| 9716 | "\n", |
||
| 9717 | " ImageOrientationPatient_4 ImageOrientationPatient_5 \\\n", |
||
| 9718 | "56318 1.000000 0.000000 \n", |
||
| 9719 | "11838 0.978148 -0.207912 \n", |
||
| 9720 | "60633 0.939693 -0.342020 \n", |
||
| 9721 | "30971 0.981627 -0.190809 \n", |
||
| 9722 | "23816 1.000000 0.000000 \n", |
||
| 9723 | "\n", |
||
| 9724 | " ImagePositionPatient_0 ImagePositionPatient_1 ImagePositionPatient_2 \\\n", |
||
| 9725 | "56318 -126.408875 -126.408875 157.507935 \n", |
||
| 9726 | "11838 -118.000000 20.437079 167.587618 \n", |
||
| 9727 | "60633 -125.000000 32.528565 161.228190 \n", |
||
| 9728 | "30971 -125.000000 19.051445 123.026026 \n", |
||
| 9729 | "23816 -126.408875 -126.408875 167.507935 \n", |
||
| 9730 | "\n", |
||
| 9731 | " PixelSpacing_0 PixelSpacing_1 WindowCenter_0 WindowCenter_1 \\\n", |
||
| 9732 | "56318 0.494751 0.494751 35.0 NaN \n", |
||
| 9733 | "11838 0.488281 0.488281 40.0 40.0 \n", |
||
| 9734 | "60633 0.488281 0.488281 40.0 40.0 \n", |
||
| 9735 | "30971 0.488281 0.488281 40.0 40.0 \n", |
||
| 9736 | "23816 0.494751 0.494751 35.0 NaN \n", |
||
| 9737 | "\n", |
||
| 9738 | " WindowCenter_1_NAN WindowWidth_0 WindowWidth_1 WindowWidth_0_le \\\n", |
||
| 9739 | "56318 True 135.0 NaN 3 \n", |
||
| 9740 | "11838 False 80.0 80.0 0 \n", |
||
| 9741 | "60633 False 80.0 80.0 0 \n", |
||
| 9742 | "30971 False 80.0 80.0 0 \n", |
||
| 9743 | "23816 True 135.0 NaN 3 \n", |
||
| 9744 | "\n", |
||
| 9745 | " WindowWidth_1_le WindowCenter_1_le BitType_le \\\n", |
||
| 9746 | "56318 1 3 0 \n", |
||
| 9747 | "11838 0 1 1 \n", |
||
| 9748 | "60633 0 1 1 \n", |
||
| 9749 | "30971 0 1 1 \n", |
||
| 9750 | "23816 1 3 0 \n", |
||
| 9751 | "\n", |
||
| 9752 | " ImageOrientationPatient_4_f ImageOrientationPatient_4_enc_0 ... \\\n", |
||
| 9753 | "56318 -1.333333 1.0 ... \n", |
||
| 9754 | "11838 2.375301 0.0 ... \n", |
||
| 9755 | "60633 1.862568 0.0 ... \n", |
||
| 9756 | "30971 2.421696 0.0 ... \n", |
||
| 9757 | "23816 -1.333333 1.0 ... \n", |
||
| 9758 | "\n", |
||
| 9759 | " ImageOrientationPatient_5_f ImageOrientationPatient_5_enc_0 \\\n", |
||
| 9760 | "56318 -0.666667 1.0 \n", |
||
| 9761 | "11838 1.947255 0.0 \n", |
||
| 9762 | "60633 1.053199 0.0 \n", |
||
| 9763 | "30971 2.061273 0.0 \n", |
||
| 9764 | "23816 -0.666667 1.0 \n", |
||
| 9765 | "\n", |
||
| 9766 | " ImageOrientationPatient_5_enc_1 ImagePositionPatient_0_f \\\n", |
||
| 9767 | "56318 False -0.720000 \n", |
||
| 9768 | "11838 False 1.466667 \n", |
||
| 9769 | "60633 False -0.720000 \n", |
||
| 9770 | "30971 False -0.720000 \n", |
||
| 9771 | "23816 False -0.720000 \n", |
||
| 9772 | "\n", |
||
| 9773 | " ImagePositionPatient_0_enc_0 ImagePositionPatient_0_enc_1 \\\n", |
||
| 9774 | "56318 0.0 1.0 \n", |
||
| 9775 | "11838 0.0 0.0 \n", |
||
| 9776 | "60633 1.0 0.0 \n", |
||
| 9777 | "30971 1.0 0.0 \n", |
||
| 9778 | "23816 0.0 1.0 \n", |
||
| 9779 | "\n", |
||
| 9780 | " ImagePositionPatient_0_f_r1 ImagePositionPatient_0_f_r05 \\\n", |
||
| 9781 | "56318 1.0 1.0 \n", |
||
| 9782 | "11838 1.0 1.0 \n", |
||
| 9783 | "60633 1.0 1.0 \n", |
||
| 9784 | "30971 1.0 1.0 \n", |
||
| 9785 | "23816 1.0 1.0 \n", |
||
| 9786 | "\n", |
||
| 9787 | " ImagePositionPatient_1_f ImagePositionPatient_1_enc_0 \\\n", |
||
| 9788 | "56318 -0.818785 0.0 \n", |
||
| 9789 | "11838 1.139161 1.0 \n", |
||
| 9790 | "60633 1.300381 1.0 \n", |
||
| 9791 | "30971 1.120686 1.0 \n", |
||
| 9792 | "23816 -0.818785 0.0 \n", |
||
| 9793 | "\n", |
||
| 9794 | " ImagePositionPatient_2_f ImagePositionPatient_2_f_r05 \\\n", |
||
| 9795 | "56318 -0.013599 0.0 \n", |
||
| 9796 | "11838 0.000842 0.0 \n", |
||
| 9797 | "60633 -0.008269 0.0 \n", |
||
| 9798 | "30971 -0.063000 0.0 \n", |
||
| 9799 | "23816 0.000728 0.0 \n", |
||
| 9800 | "\n", |
||
| 9801 | " PixelSpacing_1_f PixelSpacing_1_enc_0 PixelSpacing_1_enc_1 \\\n", |
||
| 9802 | "56318 -0.48 0.0 True \n", |
||
| 9803 | "11838 -0.48 1.0 False \n", |
||
| 9804 | "60633 -0.48 1.0 False \n", |
||
| 9805 | "30971 -0.48 1.0 False \n", |
||
| 9806 | "23816 -0.48 0.0 True \n", |
||
| 9807 | "\n", |
||
| 9808 | " WindowCenter_0_le pos_max pos_min pos_size pos_idx1 pos_idx \\\n", |
||
| 9809 | "56318 3 0.850032 -0.009968 0.9 1.016949 32 \n", |
||
| 9810 | "11838 2 1.078350 0.445865 -0.3 -0.406780 11 \n", |
||
| 9811 | "60633 2 1.132596 0.432912 -0.1 -0.474576 10 \n", |
||
| 9812 | "30971 2 0.940904 0.267694 -0.1 -0.406780 11 \n", |
||
| 9813 | "23816 3 0.850032 -0.009968 0.9 1.152542 34 \n", |
||
| 9814 | "\n", |
||
| 9815 | " pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le pos_inc2_grp_le \\\n", |
||
| 9816 | "56318 -0.406780 -1.500000 -1.500000 3 3 \n", |
||
| 9817 | "11838 0.203390 1.560669 1.539367 3 3 \n", |
||
| 9818 | "60633 0.406780 1.639588 1.660400 3 3 \n", |
||
| 9819 | "30971 0.338983 1.551270 1.548767 3 3 \n", |
||
| 9820 | "23816 -0.542373 -1.500000 -1.500000 3 3 \n", |
||
| 9821 | "\n", |
||
| 9822 | " pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 pos_inc2_enc_0 \\\n", |
||
| 9823 | "56318 1.0 1.0 0.0 0.0 \n", |
||
| 9824 | "11838 0.0 0.0 0.0 0.0 \n", |
||
| 9825 | "60633 0.0 0.0 0.0 0.0 \n", |
||
| 9826 | "30971 0.0 0.0 0.0 0.0 \n", |
||
| 9827 | "23816 1.0 1.0 0.0 0.0 \n", |
||
| 9828 | "\n", |
||
| 9829 | " pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le pos_range pos_rel \\\n", |
||
| 9830 | "56318 1.0 1.0 9 1.333334 0.976744 \n", |
||
| 9831 | "11838 0.0 0.0 0 -0.183431 -0.580297 \n", |
||
| 9832 | "60633 0.0 0.0 4 0.264557 -0.788021 \n", |
||
| 9833 | "30971 0.0 0.0 4 0.088070 -0.666627 \n", |
||
| 9834 | "23816 1.0 1.0 9 1.333334 1.162791 \n", |
||
| 9835 | "\n", |
||
| 9836 | " pos_zeros pos_inc_rng pos_zeros_le PxlMin_grp_le PxlMin_zero any \\\n", |
||
| 9837 | "56318 0.0 -0.599997 0 2 False NaN \n", |
||
| 9838 | "11838 0.0 -0.583175 0 2 False NaN \n", |
||
| 9839 | "60633 0.0 -0.584137 0 2 False NaN \n", |
||
| 9840 | "30971 0.0 -0.597988 0 2 False NaN \n", |
||
| 9841 | "23816 0.0 -0.599997 0 2 False NaN \n", |
||
| 9842 | "\n", |
||
| 9843 | " epidural intraparenchymal intraventricular subarachnoid subdural \\\n", |
||
| 9844 | "56318 NaN NaN NaN NaN NaN \n", |
||
| 9845 | "11838 NaN NaN NaN NaN NaN \n", |
||
| 9846 | "60633 NaN NaN NaN NaN NaN \n", |
||
| 9847 | "30971 NaN NaN NaN NaN NaN \n", |
||
| 9848 | "23816 NaN NaN NaN NaN NaN \n", |
||
| 9849 | "\n", |
||
| 9850 | " any_series SeriesPP yuval_idx pred_any \n", |
||
| 9851 | "56318 False -0.5 20605 0.995869 \n", |
||
| 9852 | "11838 False -0.5 49264 0.995902 \n", |
||
| 9853 | "60633 False -0.5 59637 0.995940 \n", |
||
| 9854 | "30971 False -0.5 59366 0.995958 \n", |
||
| 9855 | "23816 False -0.5 20607 0.996068 \n", |
||
| 9856 | "\n", |
||
| 9857 | "[5 rows x 101 columns]" |
||
| 9858 | ] |
||
| 9859 | }, |
||
| 9860 | "execution_count": 65, |
||
| 9861 | "metadata": {}, |
||
| 9862 | "output_type": "execute_result" |
||
| 9863 | } |
||
| 9864 | ], |
||
| 9865 | "source": [ |
||
| 9866 | "test_md['pred_any'] = predictions[:,2]\n", |
||
| 9867 | "test_md.sort_values('pred_any').tail()" |
||
| 9868 | ] |
||
| 9869 | }, |
||
| 9870 | { |
||
| 9871 | "cell_type": "code", |
||
| 9872 | "execution_count": 66, |
||
| 9873 | "metadata": {}, |
||
| 9874 | "outputs": [ |
||
| 9875 | { |
||
| 9876 | "data": { |
||
| 9877 | "text/html": [ |
||
| 9878 | "<div>\n", |
||
| 9879 | "<style scoped>\n", |
||
| 9880 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 9881 | " vertical-align: middle;\n", |
||
| 9882 | " }\n", |
||
| 9883 | "\n", |
||
| 9884 | " .dataframe tbody tr th {\n", |
||
| 9885 | " vertical-align: top;\n", |
||
| 9886 | " }\n", |
||
| 9887 | "\n", |
||
| 9888 | " .dataframe thead th {\n", |
||
| 9889 | " text-align: right;\n", |
||
| 9890 | " }\n", |
||
| 9891 | "</style>\n", |
||
| 9892 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 9893 | " <thead>\n", |
||
| 9894 | " <tr style=\"text-align: right;\">\n", |
||
| 9895 | " <th></th>\n", |
||
| 9896 | " <th>img_id</th>\n", |
||
| 9897 | " <th>SOPInstanceUID</th>\n", |
||
| 9898 | " <th>Modality</th>\n", |
||
| 9899 | " <th>PatientID</th>\n", |
||
| 9900 | " <th>StudyInstanceUID</th>\n", |
||
| 9901 | " <th>SeriesInstanceUID</th>\n", |
||
| 9902 | " <th>StudyID</th>\n", |
||
| 9903 | " <th>ImagePositionPatient</th>\n", |
||
| 9904 | " <th>ImageOrientationPatient</th>\n", |
||
| 9905 | " <th>SamplesPerPixel</th>\n", |
||
| 9906 | " <th>PhotometricInterpretation</th>\n", |
||
| 9907 | " <th>Rows</th>\n", |
||
| 9908 | " <th>Columns</th>\n", |
||
| 9909 | " <th>PixelSpacing</th>\n", |
||
| 9910 | " <th>BitsAllocated</th>\n", |
||
| 9911 | " <th>BitsStored</th>\n", |
||
| 9912 | " <th>HighBit</th>\n", |
||
| 9913 | " <th>PixelRepresentation</th>\n", |
||
| 9914 | " <th>WindowCenter</th>\n", |
||
| 9915 | " <th>WindowWidth</th>\n", |
||
| 9916 | " <th>RescaleIntercept</th>\n", |
||
| 9917 | " <th>RescaleSlope</th>\n", |
||
| 9918 | " <th>PxlMin</th>\n", |
||
| 9919 | " <th>PxlMax</th>\n", |
||
| 9920 | " <th>PxlStd</th>\n", |
||
| 9921 | " <th>PxlMean</th>\n", |
||
| 9922 | " <th>test</th>\n", |
||
| 9923 | " <th>test2</th>\n", |
||
| 9924 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 9925 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 9926 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 9927 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 9928 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 9929 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 9930 | " <th>ImagePositionPatient_0</th>\n", |
||
| 9931 | " <th>ImagePositionPatient_1</th>\n", |
||
| 9932 | " <th>ImagePositionPatient_2</th>\n", |
||
| 9933 | " <th>PixelSpacing_0</th>\n", |
||
| 9934 | " <th>PixelSpacing_1</th>\n", |
||
| 9935 | " <th>WindowCenter_0</th>\n", |
||
| 9936 | " <th>WindowCenter_1</th>\n", |
||
| 9937 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 9938 | " <th>WindowWidth_0</th>\n", |
||
| 9939 | " <th>WindowWidth_1</th>\n", |
||
| 9940 | " <th>WindowWidth_0_le</th>\n", |
||
| 9941 | " <th>WindowWidth_1_le</th>\n", |
||
| 9942 | " <th>WindowCenter_1_le</th>\n", |
||
| 9943 | " <th>BitType_le</th>\n", |
||
| 9944 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 9945 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 9946 | " <th>...</th>\n", |
||
| 9947 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 9948 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 9949 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 9950 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 9951 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 9952 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 9953 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 9954 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 9955 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 9956 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 9957 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 9958 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 9959 | " <th>PixelSpacing_1_f</th>\n", |
||
| 9960 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 9961 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 9962 | " <th>WindowCenter_0_le</th>\n", |
||
| 9963 | " <th>pos_max</th>\n", |
||
| 9964 | " <th>pos_min</th>\n", |
||
| 9965 | " <th>pos_size</th>\n", |
||
| 9966 | " <th>pos_idx1</th>\n", |
||
| 9967 | " <th>pos_idx</th>\n", |
||
| 9968 | " <th>pos_idx2</th>\n", |
||
| 9969 | " <th>pos_inc1</th>\n", |
||
| 9970 | " <th>pos_inc2</th>\n", |
||
| 9971 | " <th>pos_inc1_grp_le</th>\n", |
||
| 9972 | " <th>pos_inc2_grp_le</th>\n", |
||
| 9973 | " <th>pos_inc1_r1</th>\n", |
||
| 9974 | " <th>pos_inc1_r0001</th>\n", |
||
| 9975 | " <th>pos_inc1_enc_0</th>\n", |
||
| 9976 | " <th>pos_inc2_enc_0</th>\n", |
||
| 9977 | " <th>pos_inc1_enc_1</th>\n", |
||
| 9978 | " <th>pos_inc2_enc_1</th>\n", |
||
| 9979 | " <th>pos_size_le</th>\n", |
||
| 9980 | " <th>pos_range</th>\n", |
||
| 9981 | " <th>pos_rel</th>\n", |
||
| 9982 | " <th>pos_zeros</th>\n", |
||
| 9983 | " <th>pos_inc_rng</th>\n", |
||
| 9984 | " <th>pos_zeros_le</th>\n", |
||
| 9985 | " <th>PxlMin_grp_le</th>\n", |
||
| 9986 | " <th>PxlMin_zero</th>\n", |
||
| 9987 | " <th>any</th>\n", |
||
| 9988 | " <th>epidural</th>\n", |
||
| 9989 | " <th>intraparenchymal</th>\n", |
||
| 9990 | " <th>intraventricular</th>\n", |
||
| 9991 | " <th>subarachnoid</th>\n", |
||
| 9992 | " <th>subdural</th>\n", |
||
| 9993 | " <th>any_series</th>\n", |
||
| 9994 | " <th>SeriesPP</th>\n", |
||
| 9995 | " <th>yuval_idx</th>\n", |
||
| 9996 | " <th>pred_any</th>\n", |
||
| 9997 | " </tr>\n", |
||
| 9998 | " </thead>\n", |
||
| 9999 | " <tbody>\n", |
||
| 10000 | " <tr>\n", |
||
| 10001 | " <td>8592</td>\n", |
||
| 10002 | " <td>2b3878103</td>\n", |
||
| 10003 | " <td>ID_2b3878103</td>\n", |
||
| 10004 | " <td>CT</td>\n", |
||
| 10005 | " <td>ID_b81caf1c</td>\n", |
||
| 10006 | " <td>ID_3d31a06240</td>\n", |
||
| 10007 | " <td>ID_25c620d29b</td>\n", |
||
| 10008 | " <td>NaN</td>\n", |
||
| 10009 | " <td>['-126.408875', '-126.408875', '77.500000']</td>\n", |
||
| 10010 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 10011 | " <td>1</td>\n", |
||
| 10012 | " <td>MONOCHROME2</td>\n", |
||
| 10013 | " <td>512</td>\n", |
||
| 10014 | " <td>512</td>\n", |
||
| 10015 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 10016 | " <td>16</td>\n", |
||
| 10017 | " <td>16</td>\n", |
||
| 10018 | " <td>15</td>\n", |
||
| 10019 | " <td>1</td>\n", |
||
| 10020 | " <td>35.000000</td>\n", |
||
| 10021 | " <td>135.000000</td>\n", |
||
| 10022 | " <td>-1024.0</td>\n", |
||
| 10023 | " <td>1.0</td>\n", |
||
| 10024 | " <td>1.301333</td>\n", |
||
| 10025 | " <td>0.394667</td>\n", |
||
| 10026 | " <td>-0.776436</td>\n", |
||
| 10027 | " <td>1.134899</td>\n", |
||
| 10028 | " <td>False</td>\n", |
||
| 10029 | " <td>True</td>\n", |
||
| 10030 | " <td>1.0</td>\n", |
||
| 10031 | " <td>0.0</td>\n", |
||
| 10032 | " <td>0.0</td>\n", |
||
| 10033 | " <td>0.0</td>\n", |
||
| 10034 | " <td>1.0</td>\n", |
||
| 10035 | " <td>0.0</td>\n", |
||
| 10036 | " <td>-126.408875</td>\n", |
||
| 10037 | " <td>-126.408875</td>\n", |
||
| 10038 | " <td>77.5</td>\n", |
||
| 10039 | " <td>0.494751</td>\n", |
||
| 10040 | " <td>0.494751</td>\n", |
||
| 10041 | " <td>35.0</td>\n", |
||
| 10042 | " <td>NaN</td>\n", |
||
| 10043 | " <td>True</td>\n", |
||
| 10044 | " <td>135.0</td>\n", |
||
| 10045 | " <td>NaN</td>\n", |
||
| 10046 | " <td>3</td>\n", |
||
| 10047 | " <td>1</td>\n", |
||
| 10048 | " <td>3</td>\n", |
||
| 10049 | " <td>0</td>\n", |
||
| 10050 | " <td>-1.333333</td>\n", |
||
| 10051 | " <td>1.0</td>\n", |
||
| 10052 | " <td>...</td>\n", |
||
| 10053 | " <td>-0.666667</td>\n", |
||
| 10054 | " <td>1.0</td>\n", |
||
| 10055 | " <td>False</td>\n", |
||
| 10056 | " <td>-0.720000</td>\n", |
||
| 10057 | " <td>0.0</td>\n", |
||
| 10058 | " <td>1.0</td>\n", |
||
| 10059 | " <td>1.0</td>\n", |
||
| 10060 | " <td>1.0</td>\n", |
||
| 10061 | " <td>-0.818785</td>\n", |
||
| 10062 | " <td>0.0</td>\n", |
||
| 10063 | " <td>-0.128223</td>\n", |
||
| 10064 | " <td>1.0</td>\n", |
||
| 10065 | " <td>-0.4800</td>\n", |
||
| 10066 | " <td>0.0</td>\n", |
||
| 10067 | " <td>True</td>\n", |
||
| 10068 | " <td>3</td>\n", |
||
| 10069 | " <td>0.61</td>\n", |
||
| 10070 | " <td>-0.01</td>\n", |
||
| 10071 | " <td>-0.3</td>\n", |
||
| 10072 | " <td>-0.067797</td>\n", |
||
| 10073 | " <td>16</td>\n", |
||
| 10074 | " <td>-0.135593</td>\n", |
||
| 10075 | " <td>-1.5</td>\n", |
||
| 10076 | " <td>-1.5</td>\n", |
||
| 10077 | " <td>3</td>\n", |
||
| 10078 | " <td>3</td>\n", |
||
| 10079 | " <td>1.0</td>\n", |
||
| 10080 | " <td>1.0</td>\n", |
||
| 10081 | " <td>0.0</td>\n", |
||
| 10082 | " <td>0.0</td>\n", |
||
| 10083 | " <td>1.0</td>\n", |
||
| 10084 | " <td>1.0</td>\n", |
||
| 10085 | " <td>0</td>\n", |
||
| 10086 | " <td>-0.266667</td>\n", |
||
| 10087 | " <td>0.064516</td>\n", |
||
| 10088 | " <td>0.0</td>\n", |
||
| 10089 | " <td>-0.6</td>\n", |
||
| 10090 | " <td>0</td>\n", |
||
| 10091 | " <td>2</td>\n", |
||
| 10092 | " <td>False</td>\n", |
||
| 10093 | " <td>NaN</td>\n", |
||
| 10094 | " <td>NaN</td>\n", |
||
| 10095 | " <td>NaN</td>\n", |
||
| 10096 | " <td>NaN</td>\n", |
||
| 10097 | " <td>NaN</td>\n", |
||
| 10098 | " <td>NaN</td>\n", |
||
| 10099 | " <td>False</td>\n", |
||
| 10100 | " <td>-0.5</td>\n", |
||
| 10101 | " <td>95036</td>\n", |
||
| 10102 | " <td>0.995983</td>\n", |
||
| 10103 | " </tr>\n", |
||
| 10104 | " <tr>\n", |
||
| 10105 | " <td>101233</td>\n", |
||
| 10106 | " <td>734856256</td>\n", |
||
| 10107 | " <td>ID_734856256</td>\n", |
||
| 10108 | " <td>CT</td>\n", |
||
| 10109 | " <td>ID_4482f018</td>\n", |
||
| 10110 | " <td>ID_5ccd14e6b7</td>\n", |
||
| 10111 | " <td>ID_b75da817b2</td>\n", |
||
| 10112 | " <td>NaN</td>\n", |
||
| 10113 | " <td>['-126.438', '-126.438', '97.500']</td>\n", |
||
| 10114 | " <td>['1.0', '0.0', '0.0', '0.0', '1.0', '0.0']</td>\n", |
||
| 10115 | " <td>1</td>\n", |
||
| 10116 | " <td>MONOCHROME2</td>\n", |
||
| 10117 | " <td>512</td>\n", |
||
| 10118 | " <td>512</td>\n", |
||
| 10119 | " <td>['0.4949', '0.4949']</td>\n", |
||
| 10120 | " <td>16</td>\n", |
||
| 10121 | " <td>16</td>\n", |
||
| 10122 | " <td>15</td>\n", |
||
| 10123 | " <td>1</td>\n", |
||
| 10124 | " <td>35.0</td>\n", |
||
| 10125 | " <td>135.0</td>\n", |
||
| 10126 | " <td>-1024.0</td>\n", |
||
| 10127 | " <td>1.0</td>\n", |
||
| 10128 | " <td>1.301333</td>\n", |
||
| 10129 | " <td>0.378667</td>\n", |
||
| 10130 | " <td>-0.862722</td>\n", |
||
| 10131 | " <td>1.089866</td>\n", |
||
| 10132 | " <td>False</td>\n", |
||
| 10133 | " <td>True</td>\n", |
||
| 10134 | " <td>1.0</td>\n", |
||
| 10135 | " <td>0.0</td>\n", |
||
| 10136 | " <td>0.0</td>\n", |
||
| 10137 | " <td>0.0</td>\n", |
||
| 10138 | " <td>1.0</td>\n", |
||
| 10139 | " <td>0.0</td>\n", |
||
| 10140 | " <td>-126.438000</td>\n", |
||
| 10141 | " <td>-126.438000</td>\n", |
||
| 10142 | " <td>97.5</td>\n", |
||
| 10143 | " <td>0.494900</td>\n", |
||
| 10144 | " <td>0.494900</td>\n", |
||
| 10145 | " <td>35.0</td>\n", |
||
| 10146 | " <td>NaN</td>\n", |
||
| 10147 | " <td>True</td>\n", |
||
| 10148 | " <td>135.0</td>\n", |
||
| 10149 | " <td>NaN</td>\n", |
||
| 10150 | " <td>3</td>\n", |
||
| 10151 | " <td>1</td>\n", |
||
| 10152 | " <td>3</td>\n", |
||
| 10153 | " <td>0</td>\n", |
||
| 10154 | " <td>-1.333333</td>\n", |
||
| 10155 | " <td>1.0</td>\n", |
||
| 10156 | " <td>...</td>\n", |
||
| 10157 | " <td>-0.666667</td>\n", |
||
| 10158 | " <td>1.0</td>\n", |
||
| 10159 | " <td>False</td>\n", |
||
| 10160 | " <td>1.241653</td>\n", |
||
| 10161 | " <td>0.0</td>\n", |
||
| 10162 | " <td>0.0</td>\n", |
||
| 10163 | " <td>0.0</td>\n", |
||
| 10164 | " <td>0.0</td>\n", |
||
| 10165 | " <td>-0.819173</td>\n", |
||
| 10166 | " <td>0.0</td>\n", |
||
| 10167 | " <td>-0.099570</td>\n", |
||
| 10168 | " <td>1.0</td>\n", |
||
| 10169 | " <td>1.8792</td>\n", |
||
| 10170 | " <td>0.0</td>\n", |
||
| 10171 | " <td>False</td>\n", |
||
| 10172 | " <td>3</td>\n", |
||
| 10173 | " <td>0.67</td>\n", |
||
| 10174 | " <td>0.01</td>\n", |
||
| 10175 | " <td>-0.1</td>\n", |
||
| 10176 | " <td>0.135593</td>\n", |
||
| 10177 | " <td>19</td>\n", |
||
| 10178 | " <td>-0.203390</td>\n", |
||
| 10179 | " <td>-1.5</td>\n", |
||
| 10180 | " <td>-1.5</td>\n", |
||
| 10181 | " <td>3</td>\n", |
||
| 10182 | " <td>3</td>\n", |
||
| 10183 | " <td>1.0</td>\n", |
||
| 10184 | " <td>1.0</td>\n", |
||
| 10185 | " <td>0.0</td>\n", |
||
| 10186 | " <td>0.0</td>\n", |
||
| 10187 | " <td>1.0</td>\n", |
||
| 10188 | " <td>1.0</td>\n", |
||
| 10189 | " <td>4</td>\n", |
||
| 10190 | " <td>0.000000</td>\n", |
||
| 10191 | " <td>0.303030</td>\n", |
||
| 10192 | " <td>0.0</td>\n", |
||
| 10193 | " <td>-0.6</td>\n", |
||
| 10194 | " <td>0</td>\n", |
||
| 10195 | " <td>2</td>\n", |
||
| 10196 | " <td>False</td>\n", |
||
| 10197 | " <td>NaN</td>\n", |
||
| 10198 | " <td>NaN</td>\n", |
||
| 10199 | " <td>NaN</td>\n", |
||
| 10200 | " <td>NaN</td>\n", |
||
| 10201 | " <td>NaN</td>\n", |
||
| 10202 | " <td>NaN</td>\n", |
||
| 10203 | " <td>False</td>\n", |
||
| 10204 | " <td>-0.5</td>\n", |
||
| 10205 | " <td>23495</td>\n", |
||
| 10206 | " <td>0.996200</td>\n", |
||
| 10207 | " </tr>\n", |
||
| 10208 | " <tr>\n", |
||
| 10209 | " <td>38580</td>\n", |
||
| 10210 | " <td>1bb3fe555</td>\n", |
||
| 10211 | " <td>ID_1bb3fe555</td>\n", |
||
| 10212 | " <td>CT</td>\n", |
||
| 10213 | " <td>ID_ca92b4e6</td>\n", |
||
| 10214 | " <td>ID_e14681614d</td>\n", |
||
| 10215 | " <td>ID_23f8022c7d</td>\n", |
||
| 10216 | " <td>NaN</td>\n", |
||
| 10217 | " <td>['-126.408875', '-126.408875', '72.500000']</td>\n", |
||
| 10218 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 10219 | " <td>1</td>\n", |
||
| 10220 | " <td>MONOCHROME2</td>\n", |
||
| 10221 | " <td>512</td>\n", |
||
| 10222 | " <td>512</td>\n", |
||
| 10223 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 10224 | " <td>16</td>\n", |
||
| 10225 | " <td>16</td>\n", |
||
| 10226 | " <td>15</td>\n", |
||
| 10227 | " <td>1</td>\n", |
||
| 10228 | " <td>35.000000</td>\n", |
||
| 10229 | " <td>135.000000</td>\n", |
||
| 10230 | " <td>-1024.0</td>\n", |
||
| 10231 | " <td>1.0</td>\n", |
||
| 10232 | " <td>1.301333</td>\n", |
||
| 10233 | " <td>0.472000</td>\n", |
||
| 10234 | " <td>-0.733947</td>\n", |
||
| 10235 | " <td>1.184966</td>\n", |
||
| 10236 | " <td>False</td>\n", |
||
| 10237 | " <td>True</td>\n", |
||
| 10238 | " <td>1.0</td>\n", |
||
| 10239 | " <td>0.0</td>\n", |
||
| 10240 | " <td>0.0</td>\n", |
||
| 10241 | " <td>0.0</td>\n", |
||
| 10242 | " <td>1.0</td>\n", |
||
| 10243 | " <td>0.0</td>\n", |
||
| 10244 | " <td>-126.408875</td>\n", |
||
| 10245 | " <td>-126.408875</td>\n", |
||
| 10246 | " <td>72.5</td>\n", |
||
| 10247 | " <td>0.494751</td>\n", |
||
| 10248 | " <td>0.494751</td>\n", |
||
| 10249 | " <td>35.0</td>\n", |
||
| 10250 | " <td>NaN</td>\n", |
||
| 10251 | " <td>True</td>\n", |
||
| 10252 | " <td>135.0</td>\n", |
||
| 10253 | " <td>NaN</td>\n", |
||
| 10254 | " <td>3</td>\n", |
||
| 10255 | " <td>1</td>\n", |
||
| 10256 | " <td>3</td>\n", |
||
| 10257 | " <td>0</td>\n", |
||
| 10258 | " <td>-1.333333</td>\n", |
||
| 10259 | " <td>1.0</td>\n", |
||
| 10260 | " <td>...</td>\n", |
||
| 10261 | " <td>-0.666667</td>\n", |
||
| 10262 | " <td>1.0</td>\n", |
||
| 10263 | " <td>False</td>\n", |
||
| 10264 | " <td>-0.720000</td>\n", |
||
| 10265 | " <td>0.0</td>\n", |
||
| 10266 | " <td>1.0</td>\n", |
||
| 10267 | " <td>1.0</td>\n", |
||
| 10268 | " <td>1.0</td>\n", |
||
| 10269 | " <td>-0.818785</td>\n", |
||
| 10270 | " <td>0.0</td>\n", |
||
| 10271 | " <td>-0.135387</td>\n", |
||
| 10272 | " <td>1.0</td>\n", |
||
| 10273 | " <td>-0.4800</td>\n", |
||
| 10274 | " <td>0.0</td>\n", |
||
| 10275 | " <td>True</td>\n", |
||
| 10276 | " <td>3</td>\n", |
||
| 10277 | " <td>0.61</td>\n", |
||
| 10278 | " <td>-0.01</td>\n", |
||
| 10279 | " <td>-0.3</td>\n", |
||
| 10280 | " <td>-0.135593</td>\n", |
||
| 10281 | " <td>15</td>\n", |
||
| 10282 | " <td>-0.067797</td>\n", |
||
| 10283 | " <td>-1.5</td>\n", |
||
| 10284 | " <td>-1.5</td>\n", |
||
| 10285 | " <td>3</td>\n", |
||
| 10286 | " <td>3</td>\n", |
||
| 10287 | " <td>1.0</td>\n", |
||
| 10288 | " <td>1.0</td>\n", |
||
| 10289 | " <td>0.0</td>\n", |
||
| 10290 | " <td>0.0</td>\n", |
||
| 10291 | " <td>1.0</td>\n", |
||
| 10292 | " <td>1.0</td>\n", |
||
| 10293 | " <td>0</td>\n", |
||
| 10294 | " <td>-0.266667</td>\n", |
||
| 10295 | " <td>-0.064516</td>\n", |
||
| 10296 | " <td>0.0</td>\n", |
||
| 10297 | " <td>-0.6</td>\n", |
||
| 10298 | " <td>0</td>\n", |
||
| 10299 | " <td>2</td>\n", |
||
| 10300 | " <td>False</td>\n", |
||
| 10301 | " <td>NaN</td>\n", |
||
| 10302 | " <td>NaN</td>\n", |
||
| 10303 | " <td>NaN</td>\n", |
||
| 10304 | " <td>NaN</td>\n", |
||
| 10305 | " <td>NaN</td>\n", |
||
| 10306 | " <td>NaN</td>\n", |
||
| 10307 | " <td>False</td>\n", |
||
| 10308 | " <td>-0.5</td>\n", |
||
| 10309 | " <td>40054</td>\n", |
||
| 10310 | " <td>0.996345</td>\n", |
||
| 10311 | " </tr>\n", |
||
| 10312 | " <tr>\n", |
||
| 10313 | " <td>29351</td>\n", |
||
| 10314 | " <td>5bd2084d9</td>\n", |
||
| 10315 | " <td>ID_5bd2084d9</td>\n", |
||
| 10316 | " <td>CT</td>\n", |
||
| 10317 | " <td>ID_4482f018</td>\n", |
||
| 10318 | " <td>ID_5ccd14e6b7</td>\n", |
||
| 10319 | " <td>ID_b75da817b2</td>\n", |
||
| 10320 | " <td>NaN</td>\n", |
||
| 10321 | " <td>['-126.438', '-126.438', '102.500']</td>\n", |
||
| 10322 | " <td>['1.0', '0.0', '0.0', '0.0', '1.0', '0.0']</td>\n", |
||
| 10323 | " <td>1</td>\n", |
||
| 10324 | " <td>MONOCHROME2</td>\n", |
||
| 10325 | " <td>512</td>\n", |
||
| 10326 | " <td>512</td>\n", |
||
| 10327 | " <td>['0.4949', '0.4949']</td>\n", |
||
| 10328 | " <td>16</td>\n", |
||
| 10329 | " <td>16</td>\n", |
||
| 10330 | " <td>15</td>\n", |
||
| 10331 | " <td>1</td>\n", |
||
| 10332 | " <td>35.0</td>\n", |
||
| 10333 | " <td>135.0</td>\n", |
||
| 10334 | " <td>-1024.0</td>\n", |
||
| 10335 | " <td>1.0</td>\n", |
||
| 10336 | " <td>1.301333</td>\n", |
||
| 10337 | " <td>0.442667</td>\n", |
||
| 10338 | " <td>-0.849438</td>\n", |
||
| 10339 | " <td>1.059636</td>\n", |
||
| 10340 | " <td>False</td>\n", |
||
| 10341 | " <td>True</td>\n", |
||
| 10342 | " <td>1.0</td>\n", |
||
| 10343 | " <td>0.0</td>\n", |
||
| 10344 | " <td>0.0</td>\n", |
||
| 10345 | " <td>0.0</td>\n", |
||
| 10346 | " <td>1.0</td>\n", |
||
| 10347 | " <td>0.0</td>\n", |
||
| 10348 | " <td>-126.438000</td>\n", |
||
| 10349 | " <td>-126.438000</td>\n", |
||
| 10350 | " <td>102.5</td>\n", |
||
| 10351 | " <td>0.494900</td>\n", |
||
| 10352 | " <td>0.494900</td>\n", |
||
| 10353 | " <td>35.0</td>\n", |
||
| 10354 | " <td>NaN</td>\n", |
||
| 10355 | " <td>True</td>\n", |
||
| 10356 | " <td>135.0</td>\n", |
||
| 10357 | " <td>NaN</td>\n", |
||
| 10358 | " <td>3</td>\n", |
||
| 10359 | " <td>1</td>\n", |
||
| 10360 | " <td>3</td>\n", |
||
| 10361 | " <td>0</td>\n", |
||
| 10362 | " <td>-1.333333</td>\n", |
||
| 10363 | " <td>1.0</td>\n", |
||
| 10364 | " <td>...</td>\n", |
||
| 10365 | " <td>-0.666667</td>\n", |
||
| 10366 | " <td>1.0</td>\n", |
||
| 10367 | " <td>False</td>\n", |
||
| 10368 | " <td>1.241653</td>\n", |
||
| 10369 | " <td>0.0</td>\n", |
||
| 10370 | " <td>0.0</td>\n", |
||
| 10371 | " <td>0.0</td>\n", |
||
| 10372 | " <td>0.0</td>\n", |
||
| 10373 | " <td>-0.819173</td>\n", |
||
| 10374 | " <td>0.0</td>\n", |
||
| 10375 | " <td>-0.092407</td>\n", |
||
| 10376 | " <td>1.0</td>\n", |
||
| 10377 | " <td>1.8792</td>\n", |
||
| 10378 | " <td>0.0</td>\n", |
||
| 10379 | " <td>False</td>\n", |
||
| 10380 | " <td>3</td>\n", |
||
| 10381 | " <td>0.67</td>\n", |
||
| 10382 | " <td>0.01</td>\n", |
||
| 10383 | " <td>-0.1</td>\n", |
||
| 10384 | " <td>0.203390</td>\n", |
||
| 10385 | " <td>20</td>\n", |
||
| 10386 | " <td>-0.271186</td>\n", |
||
| 10387 | " <td>-1.5</td>\n", |
||
| 10388 | " <td>-1.5</td>\n", |
||
| 10389 | " <td>3</td>\n", |
||
| 10390 | " <td>3</td>\n", |
||
| 10391 | " <td>1.0</td>\n", |
||
| 10392 | " <td>1.0</td>\n", |
||
| 10393 | " <td>0.0</td>\n", |
||
| 10394 | " <td>0.0</td>\n", |
||
| 10395 | " <td>1.0</td>\n", |
||
| 10396 | " <td>1.0</td>\n", |
||
| 10397 | " <td>4</td>\n", |
||
| 10398 | " <td>0.000000</td>\n", |
||
| 10399 | " <td>0.424242</td>\n", |
||
| 10400 | " <td>0.0</td>\n", |
||
| 10401 | " <td>-0.6</td>\n", |
||
| 10402 | " <td>0</td>\n", |
||
| 10403 | " <td>2</td>\n", |
||
| 10404 | " <td>False</td>\n", |
||
| 10405 | " <td>NaN</td>\n", |
||
| 10406 | " <td>NaN</td>\n", |
||
| 10407 | " <td>NaN</td>\n", |
||
| 10408 | " <td>NaN</td>\n", |
||
| 10409 | " <td>NaN</td>\n", |
||
| 10410 | " <td>NaN</td>\n", |
||
| 10411 | " <td>False</td>\n", |
||
| 10412 | " <td>-0.5</td>\n", |
||
| 10413 | " <td>23496</td>\n", |
||
| 10414 | " <td>0.996412</td>\n", |
||
| 10415 | " </tr>\n", |
||
| 10416 | " <tr>\n", |
||
| 10417 | " <td>90564</td>\n", |
||
| 10418 | " <td>2941d6eba</td>\n", |
||
| 10419 | " <td>ID_2941d6eba</td>\n", |
||
| 10420 | " <td>CT</td>\n", |
||
| 10421 | " <td>ID_ca92b4e6</td>\n", |
||
| 10422 | " <td>ID_e14681614d</td>\n", |
||
| 10423 | " <td>ID_23f8022c7d</td>\n", |
||
| 10424 | " <td>NaN</td>\n", |
||
| 10425 | " <td>['-126.408875', '-126.408875', '77.500000']</td>\n", |
||
| 10426 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 10427 | " <td>1</td>\n", |
||
| 10428 | " <td>MONOCHROME2</td>\n", |
||
| 10429 | " <td>512</td>\n", |
||
| 10430 | " <td>512</td>\n", |
||
| 10431 | " <td>['0.494750976563', '0.494750976563']</td>\n", |
||
| 10432 | " <td>16</td>\n", |
||
| 10433 | " <td>16</td>\n", |
||
| 10434 | " <td>15</td>\n", |
||
| 10435 | " <td>1</td>\n", |
||
| 10436 | " <td>35.000000</td>\n", |
||
| 10437 | " <td>135.000000</td>\n", |
||
| 10438 | " <td>-1024.0</td>\n", |
||
| 10439 | " <td>1.0</td>\n", |
||
| 10440 | " <td>1.301333</td>\n", |
||
| 10441 | " <td>0.482667</td>\n", |
||
| 10442 | " <td>-0.703788</td>\n", |
||
| 10443 | " <td>1.179639</td>\n", |
||
| 10444 | " <td>False</td>\n", |
||
| 10445 | " <td>True</td>\n", |
||
| 10446 | " <td>1.0</td>\n", |
||
| 10447 | " <td>0.0</td>\n", |
||
| 10448 | " <td>0.0</td>\n", |
||
| 10449 | " <td>0.0</td>\n", |
||
| 10450 | " <td>1.0</td>\n", |
||
| 10451 | " <td>0.0</td>\n", |
||
| 10452 | " <td>-126.408875</td>\n", |
||
| 10453 | " <td>-126.408875</td>\n", |
||
| 10454 | " <td>77.5</td>\n", |
||
| 10455 | " <td>0.494751</td>\n", |
||
| 10456 | " <td>0.494751</td>\n", |
||
| 10457 | " <td>35.0</td>\n", |
||
| 10458 | " <td>NaN</td>\n", |
||
| 10459 | " <td>True</td>\n", |
||
| 10460 | " <td>135.0</td>\n", |
||
| 10461 | " <td>NaN</td>\n", |
||
| 10462 | " <td>3</td>\n", |
||
| 10463 | " <td>1</td>\n", |
||
| 10464 | " <td>3</td>\n", |
||
| 10465 | " <td>0</td>\n", |
||
| 10466 | " <td>-1.333333</td>\n", |
||
| 10467 | " <td>1.0</td>\n", |
||
| 10468 | " <td>...</td>\n", |
||
| 10469 | " <td>-0.666667</td>\n", |
||
| 10470 | " <td>1.0</td>\n", |
||
| 10471 | " <td>False</td>\n", |
||
| 10472 | " <td>-0.720000</td>\n", |
||
| 10473 | " <td>0.0</td>\n", |
||
| 10474 | " <td>1.0</td>\n", |
||
| 10475 | " <td>1.0</td>\n", |
||
| 10476 | " <td>1.0</td>\n", |
||
| 10477 | " <td>-0.818785</td>\n", |
||
| 10478 | " <td>0.0</td>\n", |
||
| 10479 | " <td>-0.128223</td>\n", |
||
| 10480 | " <td>1.0</td>\n", |
||
| 10481 | " <td>-0.4800</td>\n", |
||
| 10482 | " <td>0.0</td>\n", |
||
| 10483 | " <td>True</td>\n", |
||
| 10484 | " <td>3</td>\n", |
||
| 10485 | " <td>0.61</td>\n", |
||
| 10486 | " <td>-0.01</td>\n", |
||
| 10487 | " <td>-0.3</td>\n", |
||
| 10488 | " <td>-0.067797</td>\n", |
||
| 10489 | " <td>16</td>\n", |
||
| 10490 | " <td>-0.135593</td>\n", |
||
| 10491 | " <td>-1.5</td>\n", |
||
| 10492 | " <td>-1.5</td>\n", |
||
| 10493 | " <td>3</td>\n", |
||
| 10494 | " <td>3</td>\n", |
||
| 10495 | " <td>1.0</td>\n", |
||
| 10496 | " <td>1.0</td>\n", |
||
| 10497 | " <td>0.0</td>\n", |
||
| 10498 | " <td>0.0</td>\n", |
||
| 10499 | " <td>1.0</td>\n", |
||
| 10500 | " <td>1.0</td>\n", |
||
| 10501 | " <td>0</td>\n", |
||
| 10502 | " <td>-0.266667</td>\n", |
||
| 10503 | " <td>0.064516</td>\n", |
||
| 10504 | " <td>0.0</td>\n", |
||
| 10505 | " <td>-0.6</td>\n", |
||
| 10506 | " <td>0</td>\n", |
||
| 10507 | " <td>2</td>\n", |
||
| 10508 | " <td>False</td>\n", |
||
| 10509 | " <td>NaN</td>\n", |
||
| 10510 | " <td>NaN</td>\n", |
||
| 10511 | " <td>NaN</td>\n", |
||
| 10512 | " <td>NaN</td>\n", |
||
| 10513 | " <td>NaN</td>\n", |
||
| 10514 | " <td>NaN</td>\n", |
||
| 10515 | " <td>False</td>\n", |
||
| 10516 | " <td>-0.5</td>\n", |
||
| 10517 | " <td>40055</td>\n", |
||
| 10518 | " <td>0.996628</td>\n", |
||
| 10519 | " </tr>\n", |
||
| 10520 | " </tbody>\n", |
||
| 10521 | "</table>\n", |
||
| 10522 | "<p>5 rows × 101 columns</p>\n", |
||
| 10523 | "</div>" |
||
| 10524 | ], |
||
| 10525 | "text/plain": [ |
||
| 10526 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 10527 | "8592 2b3878103 ID_2b3878103 CT ID_b81caf1c ID_3d31a06240 \n", |
||
| 10528 | "101233 734856256 ID_734856256 CT ID_4482f018 ID_5ccd14e6b7 \n", |
||
| 10529 | "38580 1bb3fe555 ID_1bb3fe555 CT ID_ca92b4e6 ID_e14681614d \n", |
||
| 10530 | "29351 5bd2084d9 ID_5bd2084d9 CT ID_4482f018 ID_5ccd14e6b7 \n", |
||
| 10531 | "90564 2941d6eba ID_2941d6eba CT ID_ca92b4e6 ID_e14681614d \n", |
||
| 10532 | "\n", |
||
| 10533 | " SeriesInstanceUID StudyID \\\n", |
||
| 10534 | "8592 ID_25c620d29b NaN \n", |
||
| 10535 | "101233 ID_b75da817b2 NaN \n", |
||
| 10536 | "38580 ID_23f8022c7d NaN \n", |
||
| 10537 | "29351 ID_b75da817b2 NaN \n", |
||
| 10538 | "90564 ID_23f8022c7d NaN \n", |
||
| 10539 | "\n", |
||
| 10540 | " ImagePositionPatient \\\n", |
||
| 10541 | "8592 ['-126.408875', '-126.408875', '77.500000'] \n", |
||
| 10542 | "101233 ['-126.438', '-126.438', '97.500'] \n", |
||
| 10543 | "38580 ['-126.408875', '-126.408875', '72.500000'] \n", |
||
| 10544 | "29351 ['-126.438', '-126.438', '102.500'] \n", |
||
| 10545 | "90564 ['-126.408875', '-126.408875', '77.500000'] \n", |
||
| 10546 | "\n", |
||
| 10547 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 10548 | "8592 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 10549 | "101233 ['1.0', '0.0', '0.0', '0.0', '1.0', '0.0'] 1 \n", |
||
| 10550 | "38580 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 10551 | "29351 ['1.0', '0.0', '0.0', '0.0', '1.0', '0.0'] 1 \n", |
||
| 10552 | "90564 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 10553 | "\n", |
||
| 10554 | " PhotometricInterpretation Rows Columns \\\n", |
||
| 10555 | "8592 MONOCHROME2 512 512 \n", |
||
| 10556 | "101233 MONOCHROME2 512 512 \n", |
||
| 10557 | "38580 MONOCHROME2 512 512 \n", |
||
| 10558 | "29351 MONOCHROME2 512 512 \n", |
||
| 10559 | "90564 MONOCHROME2 512 512 \n", |
||
| 10560 | "\n", |
||
| 10561 | " PixelSpacing BitsAllocated BitsStored \\\n", |
||
| 10562 | "8592 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 10563 | "101233 ['0.4949', '0.4949'] 16 16 \n", |
||
| 10564 | "38580 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 10565 | "29351 ['0.4949', '0.4949'] 16 16 \n", |
||
| 10566 | "90564 ['0.494750976563', '0.494750976563'] 16 16 \n", |
||
| 10567 | "\n", |
||
| 10568 | " HighBit PixelRepresentation WindowCenter WindowWidth \\\n", |
||
| 10569 | "8592 15 1 35.000000 135.000000 \n", |
||
| 10570 | "101233 15 1 35.0 135.0 \n", |
||
| 10571 | "38580 15 1 35.000000 135.000000 \n", |
||
| 10572 | "29351 15 1 35.0 135.0 \n", |
||
| 10573 | "90564 15 1 35.000000 135.000000 \n", |
||
| 10574 | "\n", |
||
| 10575 | " RescaleIntercept RescaleSlope PxlMin PxlMax PxlStd \\\n", |
||
| 10576 | "8592 -1024.0 1.0 1.301333 0.394667 -0.776436 \n", |
||
| 10577 | "101233 -1024.0 1.0 1.301333 0.378667 -0.862722 \n", |
||
| 10578 | "38580 -1024.0 1.0 1.301333 0.472000 -0.733947 \n", |
||
| 10579 | "29351 -1024.0 1.0 1.301333 0.442667 -0.849438 \n", |
||
| 10580 | "90564 -1024.0 1.0 1.301333 0.482667 -0.703788 \n", |
||
| 10581 | "\n", |
||
| 10582 | " PxlMean test test2 ImageOrientationPatient_0 \\\n", |
||
| 10583 | "8592 1.134899 False True 1.0 \n", |
||
| 10584 | "101233 1.089866 False True 1.0 \n", |
||
| 10585 | "38580 1.184966 False True 1.0 \n", |
||
| 10586 | "29351 1.059636 False True 1.0 \n", |
||
| 10587 | "90564 1.179639 False True 1.0 \n", |
||
| 10588 | "\n", |
||
| 10589 | " ImageOrientationPatient_1 ImageOrientationPatient_2 \\\n", |
||
| 10590 | "8592 0.0 0.0 \n", |
||
| 10591 | "101233 0.0 0.0 \n", |
||
| 10592 | "38580 0.0 0.0 \n", |
||
| 10593 | "29351 0.0 0.0 \n", |
||
| 10594 | "90564 0.0 0.0 \n", |
||
| 10595 | "\n", |
||
| 10596 | " ImageOrientationPatient_3 ImageOrientationPatient_4 \\\n", |
||
| 10597 | "8592 0.0 1.0 \n", |
||
| 10598 | "101233 0.0 1.0 \n", |
||
| 10599 | "38580 0.0 1.0 \n", |
||
| 10600 | "29351 0.0 1.0 \n", |
||
| 10601 | "90564 0.0 1.0 \n", |
||
| 10602 | "\n", |
||
| 10603 | " ImageOrientationPatient_5 ImagePositionPatient_0 \\\n", |
||
| 10604 | "8592 0.0 -126.408875 \n", |
||
| 10605 | "101233 0.0 -126.438000 \n", |
||
| 10606 | "38580 0.0 -126.408875 \n", |
||
| 10607 | "29351 0.0 -126.438000 \n", |
||
| 10608 | "90564 0.0 -126.408875 \n", |
||
| 10609 | "\n", |
||
| 10610 | " ImagePositionPatient_1 ImagePositionPatient_2 PixelSpacing_0 \\\n", |
||
| 10611 | "8592 -126.408875 77.5 0.494751 \n", |
||
| 10612 | "101233 -126.438000 97.5 0.494900 \n", |
||
| 10613 | "38580 -126.408875 72.5 0.494751 \n", |
||
| 10614 | "29351 -126.438000 102.5 0.494900 \n", |
||
| 10615 | "90564 -126.408875 77.5 0.494751 \n", |
||
| 10616 | "\n", |
||
| 10617 | " PixelSpacing_1 WindowCenter_0 WindowCenter_1 WindowCenter_1_NAN \\\n", |
||
| 10618 | "8592 0.494751 35.0 NaN True \n", |
||
| 10619 | "101233 0.494900 35.0 NaN True \n", |
||
| 10620 | "38580 0.494751 35.0 NaN True \n", |
||
| 10621 | "29351 0.494900 35.0 NaN True \n", |
||
| 10622 | "90564 0.494751 35.0 NaN True \n", |
||
| 10623 | "\n", |
||
| 10624 | " WindowWidth_0 WindowWidth_1 WindowWidth_0_le WindowWidth_1_le \\\n", |
||
| 10625 | "8592 135.0 NaN 3 1 \n", |
||
| 10626 | "101233 135.0 NaN 3 1 \n", |
||
| 10627 | "38580 135.0 NaN 3 1 \n", |
||
| 10628 | "29351 135.0 NaN 3 1 \n", |
||
| 10629 | "90564 135.0 NaN 3 1 \n", |
||
| 10630 | "\n", |
||
| 10631 | " WindowCenter_1_le BitType_le ImageOrientationPatient_4_f \\\n", |
||
| 10632 | "8592 3 0 -1.333333 \n", |
||
| 10633 | "101233 3 0 -1.333333 \n", |
||
| 10634 | "38580 3 0 -1.333333 \n", |
||
| 10635 | "29351 3 0 -1.333333 \n", |
||
| 10636 | "90564 3 0 -1.333333 \n", |
||
| 10637 | "\n", |
||
| 10638 | " ImageOrientationPatient_4_enc_0 ... ImageOrientationPatient_5_f \\\n", |
||
| 10639 | "8592 1.0 ... -0.666667 \n", |
||
| 10640 | "101233 1.0 ... -0.666667 \n", |
||
| 10641 | "38580 1.0 ... -0.666667 \n", |
||
| 10642 | "29351 1.0 ... -0.666667 \n", |
||
| 10643 | "90564 1.0 ... -0.666667 \n", |
||
| 10644 | "\n", |
||
| 10645 | " ImageOrientationPatient_5_enc_0 ImageOrientationPatient_5_enc_1 \\\n", |
||
| 10646 | "8592 1.0 False \n", |
||
| 10647 | "101233 1.0 False \n", |
||
| 10648 | "38580 1.0 False \n", |
||
| 10649 | "29351 1.0 False \n", |
||
| 10650 | "90564 1.0 False \n", |
||
| 10651 | "\n", |
||
| 10652 | " ImagePositionPatient_0_f ImagePositionPatient_0_enc_0 \\\n", |
||
| 10653 | "8592 -0.720000 0.0 \n", |
||
| 10654 | "101233 1.241653 0.0 \n", |
||
| 10655 | "38580 -0.720000 0.0 \n", |
||
| 10656 | "29351 1.241653 0.0 \n", |
||
| 10657 | "90564 -0.720000 0.0 \n", |
||
| 10658 | "\n", |
||
| 10659 | " ImagePositionPatient_0_enc_1 ImagePositionPatient_0_f_r1 \\\n", |
||
| 10660 | "8592 1.0 1.0 \n", |
||
| 10661 | "101233 0.0 0.0 \n", |
||
| 10662 | "38580 1.0 1.0 \n", |
||
| 10663 | "29351 0.0 0.0 \n", |
||
| 10664 | "90564 1.0 1.0 \n", |
||
| 10665 | "\n", |
||
| 10666 | " ImagePositionPatient_0_f_r05 ImagePositionPatient_1_f \\\n", |
||
| 10667 | "8592 1.0 -0.818785 \n", |
||
| 10668 | "101233 0.0 -0.819173 \n", |
||
| 10669 | "38580 1.0 -0.818785 \n", |
||
| 10670 | "29351 0.0 -0.819173 \n", |
||
| 10671 | "90564 1.0 -0.818785 \n", |
||
| 10672 | "\n", |
||
| 10673 | " ImagePositionPatient_1_enc_0 ImagePositionPatient_2_f \\\n", |
||
| 10674 | "8592 0.0 -0.128223 \n", |
||
| 10675 | "101233 0.0 -0.099570 \n", |
||
| 10676 | "38580 0.0 -0.135387 \n", |
||
| 10677 | "29351 0.0 -0.092407 \n", |
||
| 10678 | "90564 0.0 -0.128223 \n", |
||
| 10679 | "\n", |
||
| 10680 | " ImagePositionPatient_2_f_r05 PixelSpacing_1_f PixelSpacing_1_enc_0 \\\n", |
||
| 10681 | "8592 1.0 -0.4800 0.0 \n", |
||
| 10682 | "101233 1.0 1.8792 0.0 \n", |
||
| 10683 | "38580 1.0 -0.4800 0.0 \n", |
||
| 10684 | "29351 1.0 1.8792 0.0 \n", |
||
| 10685 | "90564 1.0 -0.4800 0.0 \n", |
||
| 10686 | "\n", |
||
| 10687 | " PixelSpacing_1_enc_1 WindowCenter_0_le pos_max pos_min pos_size \\\n", |
||
| 10688 | "8592 True 3 0.61 -0.01 -0.3 \n", |
||
| 10689 | "101233 False 3 0.67 0.01 -0.1 \n", |
||
| 10690 | "38580 True 3 0.61 -0.01 -0.3 \n", |
||
| 10691 | "29351 False 3 0.67 0.01 -0.1 \n", |
||
| 10692 | "90564 True 3 0.61 -0.01 -0.3 \n", |
||
| 10693 | "\n", |
||
| 10694 | " pos_idx1 pos_idx pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le \\\n", |
||
| 10695 | "8592 -0.067797 16 -0.135593 -1.5 -1.5 3 \n", |
||
| 10696 | "101233 0.135593 19 -0.203390 -1.5 -1.5 3 \n", |
||
| 10697 | "38580 -0.135593 15 -0.067797 -1.5 -1.5 3 \n", |
||
| 10698 | "29351 0.203390 20 -0.271186 -1.5 -1.5 3 \n", |
||
| 10699 | "90564 -0.067797 16 -0.135593 -1.5 -1.5 3 \n", |
||
| 10700 | "\n", |
||
| 10701 | " pos_inc2_grp_le pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 \\\n", |
||
| 10702 | "8592 3 1.0 1.0 0.0 \n", |
||
| 10703 | "101233 3 1.0 1.0 0.0 \n", |
||
| 10704 | "38580 3 1.0 1.0 0.0 \n", |
||
| 10705 | "29351 3 1.0 1.0 0.0 \n", |
||
| 10706 | "90564 3 1.0 1.0 0.0 \n", |
||
| 10707 | "\n", |
||
| 10708 | " pos_inc2_enc_0 pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le \\\n", |
||
| 10709 | "8592 0.0 1.0 1.0 0 \n", |
||
| 10710 | "101233 0.0 1.0 1.0 4 \n", |
||
| 10711 | "38580 0.0 1.0 1.0 0 \n", |
||
| 10712 | "29351 0.0 1.0 1.0 4 \n", |
||
| 10713 | "90564 0.0 1.0 1.0 0 \n", |
||
| 10714 | "\n", |
||
| 10715 | " pos_range pos_rel pos_zeros pos_inc_rng pos_zeros_le \\\n", |
||
| 10716 | "8592 -0.266667 0.064516 0.0 -0.6 0 \n", |
||
| 10717 | "101233 0.000000 0.303030 0.0 -0.6 0 \n", |
||
| 10718 | "38580 -0.266667 -0.064516 0.0 -0.6 0 \n", |
||
| 10719 | "29351 0.000000 0.424242 0.0 -0.6 0 \n", |
||
| 10720 | "90564 -0.266667 0.064516 0.0 -0.6 0 \n", |
||
| 10721 | "\n", |
||
| 10722 | " PxlMin_grp_le PxlMin_zero any epidural intraparenchymal \\\n", |
||
| 10723 | "8592 2 False NaN NaN NaN \n", |
||
| 10724 | "101233 2 False NaN NaN NaN \n", |
||
| 10725 | "38580 2 False NaN NaN NaN \n", |
||
| 10726 | "29351 2 False NaN NaN NaN \n", |
||
| 10727 | "90564 2 False NaN NaN NaN \n", |
||
| 10728 | "\n", |
||
| 10729 | " intraventricular subarachnoid subdural any_series SeriesPP \\\n", |
||
| 10730 | "8592 NaN NaN NaN False -0.5 \n", |
||
| 10731 | "101233 NaN NaN NaN False -0.5 \n", |
||
| 10732 | "38580 NaN NaN NaN False -0.5 \n", |
||
| 10733 | "29351 NaN NaN NaN False -0.5 \n", |
||
| 10734 | "90564 NaN NaN NaN False -0.5 \n", |
||
| 10735 | "\n", |
||
| 10736 | " yuval_idx pred_any \n", |
||
| 10737 | "8592 95036 0.995983 \n", |
||
| 10738 | "101233 23495 0.996200 \n", |
||
| 10739 | "38580 40054 0.996345 \n", |
||
| 10740 | "29351 23496 0.996412 \n", |
||
| 10741 | "90564 40055 0.996628 \n", |
||
| 10742 | "\n", |
||
| 10743 | "[5 rows x 101 columns]" |
||
| 10744 | ] |
||
| 10745 | }, |
||
| 10746 | "execution_count": 66, |
||
| 10747 | "metadata": {}, |
||
| 10748 | "output_type": "execute_result" |
||
| 10749 | } |
||
| 10750 | ], |
||
| 10751 | "source": [ |
||
| 10752 | "test_md['pred_any'] = predictions[:,3]\n", |
||
| 10753 | "test_md.sort_values('pred_any').tail()" |
||
| 10754 | ] |
||
| 10755 | }, |
||
| 10756 | { |
||
| 10757 | "cell_type": "code", |
||
| 10758 | "execution_count": 67, |
||
| 10759 | "metadata": {}, |
||
| 10760 | "outputs": [ |
||
| 10761 | { |
||
| 10762 | "data": { |
||
| 10763 | "text/html": [ |
||
| 10764 | "<div>\n", |
||
| 10765 | "<style scoped>\n", |
||
| 10766 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 10767 | " vertical-align: middle;\n", |
||
| 10768 | " }\n", |
||
| 10769 | "\n", |
||
| 10770 | " .dataframe tbody tr th {\n", |
||
| 10771 | " vertical-align: top;\n", |
||
| 10772 | " }\n", |
||
| 10773 | "\n", |
||
| 10774 | " .dataframe thead th {\n", |
||
| 10775 | " text-align: right;\n", |
||
| 10776 | " }\n", |
||
| 10777 | "</style>\n", |
||
| 10778 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 10779 | " <thead>\n", |
||
| 10780 | " <tr style=\"text-align: right;\">\n", |
||
| 10781 | " <th></th>\n", |
||
| 10782 | " <th>img_id</th>\n", |
||
| 10783 | " <th>SOPInstanceUID</th>\n", |
||
| 10784 | " <th>Modality</th>\n", |
||
| 10785 | " <th>PatientID</th>\n", |
||
| 10786 | " <th>StudyInstanceUID</th>\n", |
||
| 10787 | " <th>SeriesInstanceUID</th>\n", |
||
| 10788 | " <th>StudyID</th>\n", |
||
| 10789 | " <th>ImagePositionPatient</th>\n", |
||
| 10790 | " <th>ImageOrientationPatient</th>\n", |
||
| 10791 | " <th>SamplesPerPixel</th>\n", |
||
| 10792 | " <th>PhotometricInterpretation</th>\n", |
||
| 10793 | " <th>Rows</th>\n", |
||
| 10794 | " <th>Columns</th>\n", |
||
| 10795 | " <th>PixelSpacing</th>\n", |
||
| 10796 | " <th>BitsAllocated</th>\n", |
||
| 10797 | " <th>BitsStored</th>\n", |
||
| 10798 | " <th>HighBit</th>\n", |
||
| 10799 | " <th>PixelRepresentation</th>\n", |
||
| 10800 | " <th>WindowCenter</th>\n", |
||
| 10801 | " <th>WindowWidth</th>\n", |
||
| 10802 | " <th>RescaleIntercept</th>\n", |
||
| 10803 | " <th>RescaleSlope</th>\n", |
||
| 10804 | " <th>PxlMin</th>\n", |
||
| 10805 | " <th>PxlMax</th>\n", |
||
| 10806 | " <th>PxlStd</th>\n", |
||
| 10807 | " <th>PxlMean</th>\n", |
||
| 10808 | " <th>test</th>\n", |
||
| 10809 | " <th>test2</th>\n", |
||
| 10810 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 10811 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 10812 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 10813 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 10814 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 10815 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 10816 | " <th>ImagePositionPatient_0</th>\n", |
||
| 10817 | " <th>ImagePositionPatient_1</th>\n", |
||
| 10818 | " <th>ImagePositionPatient_2</th>\n", |
||
| 10819 | " <th>PixelSpacing_0</th>\n", |
||
| 10820 | " <th>PixelSpacing_1</th>\n", |
||
| 10821 | " <th>WindowCenter_0</th>\n", |
||
| 10822 | " <th>WindowCenter_1</th>\n", |
||
| 10823 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 10824 | " <th>WindowWidth_0</th>\n", |
||
| 10825 | " <th>WindowWidth_1</th>\n", |
||
| 10826 | " <th>WindowWidth_0_le</th>\n", |
||
| 10827 | " <th>WindowWidth_1_le</th>\n", |
||
| 10828 | " <th>WindowCenter_1_le</th>\n", |
||
| 10829 | " <th>BitType_le</th>\n", |
||
| 10830 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 10831 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 10832 | " <th>...</th>\n", |
||
| 10833 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 10834 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 10835 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 10836 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 10837 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 10838 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 10839 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 10840 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 10841 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 10842 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 10843 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 10844 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 10845 | " <th>PixelSpacing_1_f</th>\n", |
||
| 10846 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 10847 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 10848 | " <th>WindowCenter_0_le</th>\n", |
||
| 10849 | " <th>pos_max</th>\n", |
||
| 10850 | " <th>pos_min</th>\n", |
||
| 10851 | " <th>pos_size</th>\n", |
||
| 10852 | " <th>pos_idx1</th>\n", |
||
| 10853 | " <th>pos_idx</th>\n", |
||
| 10854 | " <th>pos_idx2</th>\n", |
||
| 10855 | " <th>pos_inc1</th>\n", |
||
| 10856 | " <th>pos_inc2</th>\n", |
||
| 10857 | " <th>pos_inc1_grp_le</th>\n", |
||
| 10858 | " <th>pos_inc2_grp_le</th>\n", |
||
| 10859 | " <th>pos_inc1_r1</th>\n", |
||
| 10860 | " <th>pos_inc1_r0001</th>\n", |
||
| 10861 | " <th>pos_inc1_enc_0</th>\n", |
||
| 10862 | " <th>pos_inc2_enc_0</th>\n", |
||
| 10863 | " <th>pos_inc1_enc_1</th>\n", |
||
| 10864 | " <th>pos_inc2_enc_1</th>\n", |
||
| 10865 | " <th>pos_size_le</th>\n", |
||
| 10866 | " <th>pos_range</th>\n", |
||
| 10867 | " <th>pos_rel</th>\n", |
||
| 10868 | " <th>pos_zeros</th>\n", |
||
| 10869 | " <th>pos_inc_rng</th>\n", |
||
| 10870 | " <th>pos_zeros_le</th>\n", |
||
| 10871 | " <th>PxlMin_grp_le</th>\n", |
||
| 10872 | " <th>PxlMin_zero</th>\n", |
||
| 10873 | " <th>any</th>\n", |
||
| 10874 | " <th>epidural</th>\n", |
||
| 10875 | " <th>intraparenchymal</th>\n", |
||
| 10876 | " <th>intraventricular</th>\n", |
||
| 10877 | " <th>subarachnoid</th>\n", |
||
| 10878 | " <th>subdural</th>\n", |
||
| 10879 | " <th>any_series</th>\n", |
||
| 10880 | " <th>SeriesPP</th>\n", |
||
| 10881 | " <th>yuval_idx</th>\n", |
||
| 10882 | " <th>pred_any</th>\n", |
||
| 10883 | " </tr>\n", |
||
| 10884 | " </thead>\n", |
||
| 10885 | " <tbody>\n", |
||
| 10886 | " <tr>\n", |
||
| 10887 | " <td>46433</td>\n", |
||
| 10888 | " <td>f3a75309f</td>\n", |
||
| 10889 | " <td>ID_f3a75309f</td>\n", |
||
| 10890 | " <td>CT</td>\n", |
||
| 10891 | " <td>ID_f6723c35</td>\n", |
||
| 10892 | " <td>ID_fc07fac521</td>\n", |
||
| 10893 | " <td>ID_cfd350c878</td>\n", |
||
| 10894 | " <td>NaN</td>\n", |
||
| 10895 | " <td>['-125.000', '-118.558', '151.625']</td>\n", |
||
| 10896 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 10897 | " <td>1</td>\n", |
||
| 10898 | " <td>MONOCHROME2</td>\n", |
||
| 10899 | " <td>512</td>\n", |
||
| 10900 | " <td>512</td>\n", |
||
| 10901 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 10902 | " <td>16</td>\n", |
||
| 10903 | " <td>16</td>\n", |
||
| 10904 | " <td>15</td>\n", |
||
| 10905 | " <td>1</td>\n", |
||
| 10906 | " <td>40</td>\n", |
||
| 10907 | " <td>150</td>\n", |
||
| 10908 | " <td>-1024.0</td>\n", |
||
| 10909 | " <td>1.0</td>\n", |
||
| 10910 | " <td>-0.064</td>\n", |
||
| 10911 | " <td>0.292000</td>\n", |
||
| 10912 | " <td>0.113617</td>\n", |
||
| 10913 | " <td>-0.426832</td>\n", |
||
| 10914 | " <td>False</td>\n", |
||
| 10915 | " <td>True</td>\n", |
||
| 10916 | " <td>1.0</td>\n", |
||
| 10917 | " <td>0.0</td>\n", |
||
| 10918 | " <td>0.0</td>\n", |
||
| 10919 | " <td>0.0</td>\n", |
||
| 10920 | " <td>0.961262</td>\n", |
||
| 10921 | " <td>-0.275637</td>\n", |
||
| 10922 | " <td>-125.0</td>\n", |
||
| 10923 | " <td>-118.558</td>\n", |
||
| 10924 | " <td>151.625</td>\n", |
||
| 10925 | " <td>0.488281</td>\n", |
||
| 10926 | " <td>0.488281</td>\n", |
||
| 10927 | " <td>40.0</td>\n", |
||
| 10928 | " <td>NaN</td>\n", |
||
| 10929 | " <td>True</td>\n", |
||
| 10930 | " <td>150.0</td>\n", |
||
| 10931 | " <td>NaN</td>\n", |
||
| 10932 | " <td>1</td>\n", |
||
| 10933 | " <td>1</td>\n", |
||
| 10934 | " <td>3</td>\n", |
||
| 10935 | " <td>0</td>\n", |
||
| 10936 | " <td>2.15016</td>\n", |
||
| 10937 | " <td>0.0</td>\n", |
||
| 10938 | " <td>...</td>\n", |
||
| 10939 | " <td>1.495753</td>\n", |
||
| 10940 | " <td>0.0</td>\n", |
||
| 10941 | " <td>False</td>\n", |
||
| 10942 | " <td>-0.72</td>\n", |
||
| 10943 | " <td>1.0</td>\n", |
||
| 10944 | " <td>0.0</td>\n", |
||
| 10945 | " <td>1.0</td>\n", |
||
| 10946 | " <td>1.0</td>\n", |
||
| 10947 | " <td>-0.714107</td>\n", |
||
| 10948 | " <td>0.0</td>\n", |
||
| 10949 | " <td>-0.022027</td>\n", |
||
| 10950 | " <td>0.0</td>\n", |
||
| 10951 | " <td>-0.48</td>\n", |
||
| 10952 | " <td>1.0</td>\n", |
||
| 10953 | " <td>False</td>\n", |
||
| 10954 | " <td>2</td>\n", |
||
| 10955 | " <td>0.68972</td>\n", |
||
| 10956 | " <td>0.127984</td>\n", |
||
| 10957 | " <td>-0.7</td>\n", |
||
| 10958 | " <td>0.406780</td>\n", |
||
| 10959 | " <td>23</td>\n", |
||
| 10960 | " <td>-0.881356</td>\n", |
||
| 10961 | " <td>1.6005</td>\n", |
||
| 10962 | " <td>1.6005</td>\n", |
||
| 10963 | " <td>3</td>\n", |
||
| 10964 | " <td>3</td>\n", |
||
| 10965 | " <td>0.0</td>\n", |
||
| 10966 | " <td>1.0</td>\n", |
||
| 10967 | " <td>0.0</td>\n", |
||
| 10968 | " <td>0.0</td>\n", |
||
| 10969 | " <td>0.0</td>\n", |
||
| 10970 | " <td>0.0</td>\n", |
||
| 10971 | " <td>3</td>\n", |
||
| 10972 | " <td>-0.655093</td>\n", |
||
| 10973 | " <td>1.407408</td>\n", |
||
| 10974 | " <td>0.0</td>\n", |
||
| 10975 | " <td>-0.599615</td>\n", |
||
| 10976 | " <td>0</td>\n", |
||
| 10977 | " <td>1</td>\n", |
||
| 10978 | " <td>False</td>\n", |
||
| 10979 | " <td>NaN</td>\n", |
||
| 10980 | " <td>NaN</td>\n", |
||
| 10981 | " <td>NaN</td>\n", |
||
| 10982 | " <td>NaN</td>\n", |
||
| 10983 | " <td>NaN</td>\n", |
||
| 10984 | " <td>NaN</td>\n", |
||
| 10985 | " <td>False</td>\n", |
||
| 10986 | " <td>-0.5</td>\n", |
||
| 10987 | " <td>55354</td>\n", |
||
| 10988 | " <td>0.993246</td>\n", |
||
| 10989 | " </tr>\n", |
||
| 10990 | " <tr>\n", |
||
| 10991 | " <td>59590</td>\n", |
||
| 10992 | " <td>dc7e09cbd</td>\n", |
||
| 10993 | " <td>ID_dc7e09cbd</td>\n", |
||
| 10994 | " <td>CT</td>\n", |
||
| 10995 | " <td>ID_f6723c35</td>\n", |
||
| 10996 | " <td>ID_fc07fac521</td>\n", |
||
| 10997 | " <td>ID_cfd350c878</td>\n", |
||
| 10998 | " <td>NaN</td>\n", |
||
| 10999 | " <td>['-125.000', '-118.558', '130.820']</td>\n", |
||
| 11000 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 11001 | " <td>1</td>\n", |
||
| 11002 | " <td>MONOCHROME2</td>\n", |
||
| 11003 | " <td>512</td>\n", |
||
| 11004 | " <td>512</td>\n", |
||
| 11005 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 11006 | " <td>16</td>\n", |
||
| 11007 | " <td>16</td>\n", |
||
| 11008 | " <td>15</td>\n", |
||
| 11009 | " <td>1</td>\n", |
||
| 11010 | " <td>40</td>\n", |
||
| 11011 | " <td>150</td>\n", |
||
| 11012 | " <td>-1024.0</td>\n", |
||
| 11013 | " <td>1.0</td>\n", |
||
| 11014 | " <td>-0.064</td>\n", |
||
| 11015 | " <td>0.180000</td>\n", |
||
| 11016 | " <td>0.216861</td>\n", |
||
| 11017 | " <td>-0.102710</td>\n", |
||
| 11018 | " <td>False</td>\n", |
||
| 11019 | " <td>True</td>\n", |
||
| 11020 | " <td>1.0</td>\n", |
||
| 11021 | " <td>0.0</td>\n", |
||
| 11022 | " <td>0.0</td>\n", |
||
| 11023 | " <td>0.0</td>\n", |
||
| 11024 | " <td>0.961262</td>\n", |
||
| 11025 | " <td>-0.275637</td>\n", |
||
| 11026 | " <td>-125.0</td>\n", |
||
| 11027 | " <td>-118.558</td>\n", |
||
| 11028 | " <td>130.820</td>\n", |
||
| 11029 | " <td>0.488281</td>\n", |
||
| 11030 | " <td>0.488281</td>\n", |
||
| 11031 | " <td>40.0</td>\n", |
||
| 11032 | " <td>NaN</td>\n", |
||
| 11033 | " <td>True</td>\n", |
||
| 11034 | " <td>150.0</td>\n", |
||
| 11035 | " <td>NaN</td>\n", |
||
| 11036 | " <td>1</td>\n", |
||
| 11037 | " <td>1</td>\n", |
||
| 11038 | " <td>3</td>\n", |
||
| 11039 | " <td>0</td>\n", |
||
| 11040 | " <td>2.15016</td>\n", |
||
| 11041 | " <td>0.0</td>\n", |
||
| 11042 | " <td>...</td>\n", |
||
| 11043 | " <td>1.495753</td>\n", |
||
| 11044 | " <td>0.0</td>\n", |
||
| 11045 | " <td>False</td>\n", |
||
| 11046 | " <td>-0.72</td>\n", |
||
| 11047 | " <td>1.0</td>\n", |
||
| 11048 | " <td>0.0</td>\n", |
||
| 11049 | " <td>1.0</td>\n", |
||
| 11050 | " <td>1.0</td>\n", |
||
| 11051 | " <td>-0.714107</td>\n", |
||
| 11052 | " <td>0.0</td>\n", |
||
| 11053 | " <td>-0.051834</td>\n", |
||
| 11054 | " <td>0.0</td>\n", |
||
| 11055 | " <td>-0.48</td>\n", |
||
| 11056 | " <td>1.0</td>\n", |
||
| 11057 | " <td>False</td>\n", |
||
| 11058 | " <td>2</td>\n", |
||
| 11059 | " <td>0.68972</td>\n", |
||
| 11060 | " <td>0.127984</td>\n", |
||
| 11061 | " <td>-0.7</td>\n", |
||
| 11062 | " <td>0.135593</td>\n", |
||
| 11063 | " <td>19</td>\n", |
||
| 11064 | " <td>-0.610169</td>\n", |
||
| 11065 | " <td>1.6005</td>\n", |
||
| 11066 | " <td>1.6005</td>\n", |
||
| 11067 | " <td>3</td>\n", |
||
| 11068 | " <td>3</td>\n", |
||
| 11069 | " <td>0.0</td>\n", |
||
| 11070 | " <td>1.0</td>\n", |
||
| 11071 | " <td>0.0</td>\n", |
||
| 11072 | " <td>0.0</td>\n", |
||
| 11073 | " <td>0.0</td>\n", |
||
| 11074 | " <td>0.0</td>\n", |
||
| 11075 | " <td>3</td>\n", |
||
| 11076 | " <td>-0.655093</td>\n", |
||
| 11077 | " <td>0.814817</td>\n", |
||
| 11078 | " <td>0.0</td>\n", |
||
| 11079 | " <td>-0.599615</td>\n", |
||
| 11080 | " <td>0</td>\n", |
||
| 11081 | " <td>1</td>\n", |
||
| 11082 | " <td>False</td>\n", |
||
| 11083 | " <td>NaN</td>\n", |
||
| 11084 | " <td>NaN</td>\n", |
||
| 11085 | " <td>NaN</td>\n", |
||
| 11086 | " <td>NaN</td>\n", |
||
| 11087 | " <td>NaN</td>\n", |
||
| 11088 | " <td>NaN</td>\n", |
||
| 11089 | " <td>False</td>\n", |
||
| 11090 | " <td>-0.5</td>\n", |
||
| 11091 | " <td>55350</td>\n", |
||
| 11092 | " <td>0.993314</td>\n", |
||
| 11093 | " </tr>\n", |
||
| 11094 | " <tr>\n", |
||
| 11095 | " <td>33815</td>\n", |
||
| 11096 | " <td>397e899f6</td>\n", |
||
| 11097 | " <td>ID_397e899f6</td>\n", |
||
| 11098 | " <td>CT</td>\n", |
||
| 11099 | " <td>ID_f6723c35</td>\n", |
||
| 11100 | " <td>ID_fc07fac521</td>\n", |
||
| 11101 | " <td>ID_cfd350c878</td>\n", |
||
| 11102 | " <td>NaN</td>\n", |
||
| 11103 | " <td>['-125.000', '-118.558', '146.424']</td>\n", |
||
| 11104 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 11105 | " <td>1</td>\n", |
||
| 11106 | " <td>MONOCHROME2</td>\n", |
||
| 11107 | " <td>512</td>\n", |
||
| 11108 | " <td>512</td>\n", |
||
| 11109 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 11110 | " <td>16</td>\n", |
||
| 11111 | " <td>16</td>\n", |
||
| 11112 | " <td>15</td>\n", |
||
| 11113 | " <td>1</td>\n", |
||
| 11114 | " <td>40</td>\n", |
||
| 11115 | " <td>150</td>\n", |
||
| 11116 | " <td>-1024.0</td>\n", |
||
| 11117 | " <td>1.0</td>\n", |
||
| 11118 | " <td>-0.064</td>\n", |
||
| 11119 | " <td>0.218667</td>\n", |
||
| 11120 | " <td>0.157382</td>\n", |
||
| 11121 | " <td>-0.319805</td>\n", |
||
| 11122 | " <td>False</td>\n", |
||
| 11123 | " <td>True</td>\n", |
||
| 11124 | " <td>1.0</td>\n", |
||
| 11125 | " <td>0.0</td>\n", |
||
| 11126 | " <td>0.0</td>\n", |
||
| 11127 | " <td>0.0</td>\n", |
||
| 11128 | " <td>0.961262</td>\n", |
||
| 11129 | " <td>-0.275637</td>\n", |
||
| 11130 | " <td>-125.0</td>\n", |
||
| 11131 | " <td>-118.558</td>\n", |
||
| 11132 | " <td>146.424</td>\n", |
||
| 11133 | " <td>0.488281</td>\n", |
||
| 11134 | " <td>0.488281</td>\n", |
||
| 11135 | " <td>40.0</td>\n", |
||
| 11136 | " <td>NaN</td>\n", |
||
| 11137 | " <td>True</td>\n", |
||
| 11138 | " <td>150.0</td>\n", |
||
| 11139 | " <td>NaN</td>\n", |
||
| 11140 | " <td>1</td>\n", |
||
| 11141 | " <td>1</td>\n", |
||
| 11142 | " <td>3</td>\n", |
||
| 11143 | " <td>0</td>\n", |
||
| 11144 | " <td>2.15016</td>\n", |
||
| 11145 | " <td>0.0</td>\n", |
||
| 11146 | " <td>...</td>\n", |
||
| 11147 | " <td>1.495753</td>\n", |
||
| 11148 | " <td>0.0</td>\n", |
||
| 11149 | " <td>False</td>\n", |
||
| 11150 | " <td>-0.72</td>\n", |
||
| 11151 | " <td>1.0</td>\n", |
||
| 11152 | " <td>0.0</td>\n", |
||
| 11153 | " <td>1.0</td>\n", |
||
| 11154 | " <td>1.0</td>\n", |
||
| 11155 | " <td>-0.714107</td>\n", |
||
| 11156 | " <td>0.0</td>\n", |
||
| 11157 | " <td>-0.029479</td>\n", |
||
| 11158 | " <td>0.0</td>\n", |
||
| 11159 | " <td>-0.48</td>\n", |
||
| 11160 | " <td>1.0</td>\n", |
||
| 11161 | " <td>False</td>\n", |
||
| 11162 | " <td>2</td>\n", |
||
| 11163 | " <td>0.68972</td>\n", |
||
| 11164 | " <td>0.127984</td>\n", |
||
| 11165 | " <td>-0.7</td>\n", |
||
| 11166 | " <td>0.338983</td>\n", |
||
| 11167 | " <td>22</td>\n", |
||
| 11168 | " <td>-0.813559</td>\n", |
||
| 11169 | " <td>1.6010</td>\n", |
||
| 11170 | " <td>1.6005</td>\n", |
||
| 11171 | " <td>3</td>\n", |
||
| 11172 | " <td>3</td>\n", |
||
| 11173 | " <td>0.0</td>\n", |
||
| 11174 | " <td>1.0</td>\n", |
||
| 11175 | " <td>0.0</td>\n", |
||
| 11176 | " <td>0.0</td>\n", |
||
| 11177 | " <td>0.0</td>\n", |
||
| 11178 | " <td>0.0</td>\n", |
||
| 11179 | " <td>3</td>\n", |
||
| 11180 | " <td>-0.655093</td>\n", |
||
| 11181 | " <td>1.259268</td>\n", |
||
| 11182 | " <td>0.0</td>\n", |
||
| 11183 | " <td>-0.599615</td>\n", |
||
| 11184 | " <td>0</td>\n", |
||
| 11185 | " <td>1</td>\n", |
||
| 11186 | " <td>False</td>\n", |
||
| 11187 | " <td>NaN</td>\n", |
||
| 11188 | " <td>NaN</td>\n", |
||
| 11189 | " <td>NaN</td>\n", |
||
| 11190 | " <td>NaN</td>\n", |
||
| 11191 | " <td>NaN</td>\n", |
||
| 11192 | " <td>NaN</td>\n", |
||
| 11193 | " <td>False</td>\n", |
||
| 11194 | " <td>-0.5</td>\n", |
||
| 11195 | " <td>55353</td>\n", |
||
| 11196 | " <td>0.993623</td>\n", |
||
| 11197 | " </tr>\n", |
||
| 11198 | " <tr>\n", |
||
| 11199 | " <td>2113</td>\n", |
||
| 11200 | " <td>ed2a8477b</td>\n", |
||
| 11201 | " <td>ID_ed2a8477b</td>\n", |
||
| 11202 | " <td>CT</td>\n", |
||
| 11203 | " <td>ID_f6723c35</td>\n", |
||
| 11204 | " <td>ID_fc07fac521</td>\n", |
||
| 11205 | " <td>ID_cfd350c878</td>\n", |
||
| 11206 | " <td>NaN</td>\n", |
||
| 11207 | " <td>['-125.000', '-118.558', '141.222']</td>\n", |
||
| 11208 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 11209 | " <td>1</td>\n", |
||
| 11210 | " <td>MONOCHROME2</td>\n", |
||
| 11211 | " <td>512</td>\n", |
||
| 11212 | " <td>512</td>\n", |
||
| 11213 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 11214 | " <td>16</td>\n", |
||
| 11215 | " <td>16</td>\n", |
||
| 11216 | " <td>15</td>\n", |
||
| 11217 | " <td>1</td>\n", |
||
| 11218 | " <td>40</td>\n", |
||
| 11219 | " <td>150</td>\n", |
||
| 11220 | " <td>-1024.0</td>\n", |
||
| 11221 | " <td>1.0</td>\n", |
||
| 11222 | " <td>-0.064</td>\n", |
||
| 11223 | " <td>0.169333</td>\n", |
||
| 11224 | " <td>0.193354</td>\n", |
||
| 11225 | " <td>-0.226621</td>\n", |
||
| 11226 | " <td>False</td>\n", |
||
| 11227 | " <td>True</td>\n", |
||
| 11228 | " <td>1.0</td>\n", |
||
| 11229 | " <td>0.0</td>\n", |
||
| 11230 | " <td>0.0</td>\n", |
||
| 11231 | " <td>0.0</td>\n", |
||
| 11232 | " <td>0.961262</td>\n", |
||
| 11233 | " <td>-0.275637</td>\n", |
||
| 11234 | " <td>-125.0</td>\n", |
||
| 11235 | " <td>-118.558</td>\n", |
||
| 11236 | " <td>141.222</td>\n", |
||
| 11237 | " <td>0.488281</td>\n", |
||
| 11238 | " <td>0.488281</td>\n", |
||
| 11239 | " <td>40.0</td>\n", |
||
| 11240 | " <td>NaN</td>\n", |
||
| 11241 | " <td>True</td>\n", |
||
| 11242 | " <td>150.0</td>\n", |
||
| 11243 | " <td>NaN</td>\n", |
||
| 11244 | " <td>1</td>\n", |
||
| 11245 | " <td>1</td>\n", |
||
| 11246 | " <td>3</td>\n", |
||
| 11247 | " <td>0</td>\n", |
||
| 11248 | " <td>2.15016</td>\n", |
||
| 11249 | " <td>0.0</td>\n", |
||
| 11250 | " <td>...</td>\n", |
||
| 11251 | " <td>1.495753</td>\n", |
||
| 11252 | " <td>0.0</td>\n", |
||
| 11253 | " <td>False</td>\n", |
||
| 11254 | " <td>-0.72</td>\n", |
||
| 11255 | " <td>1.0</td>\n", |
||
| 11256 | " <td>0.0</td>\n", |
||
| 11257 | " <td>1.0</td>\n", |
||
| 11258 | " <td>1.0</td>\n", |
||
| 11259 | " <td>-0.714107</td>\n", |
||
| 11260 | " <td>0.0</td>\n", |
||
| 11261 | " <td>-0.036931</td>\n", |
||
| 11262 | " <td>0.0</td>\n", |
||
| 11263 | " <td>-0.48</td>\n", |
||
| 11264 | " <td>1.0</td>\n", |
||
| 11265 | " <td>False</td>\n", |
||
| 11266 | " <td>2</td>\n", |
||
| 11267 | " <td>0.68972</td>\n", |
||
| 11268 | " <td>0.127984</td>\n", |
||
| 11269 | " <td>-0.7</td>\n", |
||
| 11270 | " <td>0.271186</td>\n", |
||
| 11271 | " <td>21</td>\n", |
||
| 11272 | " <td>-0.745763</td>\n", |
||
| 11273 | " <td>1.6005</td>\n", |
||
| 11274 | " <td>1.6010</td>\n", |
||
| 11275 | " <td>3</td>\n", |
||
| 11276 | " <td>3</td>\n", |
||
| 11277 | " <td>0.0</td>\n", |
||
| 11278 | " <td>1.0</td>\n", |
||
| 11279 | " <td>0.0</td>\n", |
||
| 11280 | " <td>0.0</td>\n", |
||
| 11281 | " <td>0.0</td>\n", |
||
| 11282 | " <td>0.0</td>\n", |
||
| 11283 | " <td>3</td>\n", |
||
| 11284 | " <td>-0.655093</td>\n", |
||
| 11285 | " <td>1.111098</td>\n", |
||
| 11286 | " <td>0.0</td>\n", |
||
| 11287 | " <td>-0.599615</td>\n", |
||
| 11288 | " <td>0</td>\n", |
||
| 11289 | " <td>1</td>\n", |
||
| 11290 | " <td>False</td>\n", |
||
| 11291 | " <td>NaN</td>\n", |
||
| 11292 | " <td>NaN</td>\n", |
||
| 11293 | " <td>NaN</td>\n", |
||
| 11294 | " <td>NaN</td>\n", |
||
| 11295 | " <td>NaN</td>\n", |
||
| 11296 | " <td>NaN</td>\n", |
||
| 11297 | " <td>False</td>\n", |
||
| 11298 | " <td>-0.5</td>\n", |
||
| 11299 | " <td>55352</td>\n", |
||
| 11300 | " <td>0.993728</td>\n", |
||
| 11301 | " </tr>\n", |
||
| 11302 | " <tr>\n", |
||
| 11303 | " <td>61829</td>\n", |
||
| 11304 | " <td>b2d64d052</td>\n", |
||
| 11305 | " <td>ID_b2d64d052</td>\n", |
||
| 11306 | " <td>CT</td>\n", |
||
| 11307 | " <td>ID_f6723c35</td>\n", |
||
| 11308 | " <td>ID_fc07fac521</td>\n", |
||
| 11309 | " <td>ID_cfd350c878</td>\n", |
||
| 11310 | " <td>NaN</td>\n", |
||
| 11311 | " <td>['-125.000', '-118.558', '136.021']</td>\n", |
||
| 11312 | " <td>['1.000000', '0.000000', '0.000000', '0.000000...</td>\n", |
||
| 11313 | " <td>1</td>\n", |
||
| 11314 | " <td>MONOCHROME2</td>\n", |
||
| 11315 | " <td>512</td>\n", |
||
| 11316 | " <td>512</td>\n", |
||
| 11317 | " <td>['0.488281', '0.488281']</td>\n", |
||
| 11318 | " <td>16</td>\n", |
||
| 11319 | " <td>16</td>\n", |
||
| 11320 | " <td>15</td>\n", |
||
| 11321 | " <td>1</td>\n", |
||
| 11322 | " <td>40</td>\n", |
||
| 11323 | " <td>150</td>\n", |
||
| 11324 | " <td>-1024.0</td>\n", |
||
| 11325 | " <td>1.0</td>\n", |
||
| 11326 | " <td>-0.064</td>\n", |
||
| 11327 | " <td>0.148000</td>\n", |
||
| 11328 | " <td>0.208909</td>\n", |
||
| 11329 | " <td>-0.156506</td>\n", |
||
| 11330 | " <td>False</td>\n", |
||
| 11331 | " <td>True</td>\n", |
||
| 11332 | " <td>1.0</td>\n", |
||
| 11333 | " <td>0.0</td>\n", |
||
| 11334 | " <td>0.0</td>\n", |
||
| 11335 | " <td>0.0</td>\n", |
||
| 11336 | " <td>0.961262</td>\n", |
||
| 11337 | " <td>-0.275637</td>\n", |
||
| 11338 | " <td>-125.0</td>\n", |
||
| 11339 | " <td>-118.558</td>\n", |
||
| 11340 | " <td>136.021</td>\n", |
||
| 11341 | " <td>0.488281</td>\n", |
||
| 11342 | " <td>0.488281</td>\n", |
||
| 11343 | " <td>40.0</td>\n", |
||
| 11344 | " <td>NaN</td>\n", |
||
| 11345 | " <td>True</td>\n", |
||
| 11346 | " <td>150.0</td>\n", |
||
| 11347 | " <td>NaN</td>\n", |
||
| 11348 | " <td>1</td>\n", |
||
| 11349 | " <td>1</td>\n", |
||
| 11350 | " <td>3</td>\n", |
||
| 11351 | " <td>0</td>\n", |
||
| 11352 | " <td>2.15016</td>\n", |
||
| 11353 | " <td>0.0</td>\n", |
||
| 11354 | " <td>...</td>\n", |
||
| 11355 | " <td>1.495753</td>\n", |
||
| 11356 | " <td>0.0</td>\n", |
||
| 11357 | " <td>False</td>\n", |
||
| 11358 | " <td>-0.72</td>\n", |
||
| 11359 | " <td>1.0</td>\n", |
||
| 11360 | " <td>0.0</td>\n", |
||
| 11361 | " <td>1.0</td>\n", |
||
| 11362 | " <td>1.0</td>\n", |
||
| 11363 | " <td>-0.714107</td>\n", |
||
| 11364 | " <td>0.0</td>\n", |
||
| 11365 | " <td>-0.044383</td>\n", |
||
| 11366 | " <td>0.0</td>\n", |
||
| 11367 | " <td>-0.48</td>\n", |
||
| 11368 | " <td>1.0</td>\n", |
||
| 11369 | " <td>False</td>\n", |
||
| 11370 | " <td>2</td>\n", |
||
| 11371 | " <td>0.68972</td>\n", |
||
| 11372 | " <td>0.127984</td>\n", |
||
| 11373 | " <td>-0.7</td>\n", |
||
| 11374 | " <td>0.203390</td>\n", |
||
| 11375 | " <td>20</td>\n", |
||
| 11376 | " <td>-0.677966</td>\n", |
||
| 11377 | " <td>1.6005</td>\n", |
||
| 11378 | " <td>1.6005</td>\n", |
||
| 11379 | " <td>3</td>\n", |
||
| 11380 | " <td>3</td>\n", |
||
| 11381 | " <td>0.0</td>\n", |
||
| 11382 | " <td>1.0</td>\n", |
||
| 11383 | " <td>0.0</td>\n", |
||
| 11384 | " <td>0.0</td>\n", |
||
| 11385 | " <td>0.0</td>\n", |
||
| 11386 | " <td>0.0</td>\n", |
||
| 11387 | " <td>3</td>\n", |
||
| 11388 | " <td>-0.655093</td>\n", |
||
| 11389 | " <td>0.962958</td>\n", |
||
| 11390 | " <td>0.0</td>\n", |
||
| 11391 | " <td>-0.599615</td>\n", |
||
| 11392 | " <td>0</td>\n", |
||
| 11393 | " <td>1</td>\n", |
||
| 11394 | " <td>False</td>\n", |
||
| 11395 | " <td>NaN</td>\n", |
||
| 11396 | " <td>NaN</td>\n", |
||
| 11397 | " <td>NaN</td>\n", |
||
| 11398 | " <td>NaN</td>\n", |
||
| 11399 | " <td>NaN</td>\n", |
||
| 11400 | " <td>NaN</td>\n", |
||
| 11401 | " <td>False</td>\n", |
||
| 11402 | " <td>-0.5</td>\n", |
||
| 11403 | " <td>55351</td>\n", |
||
| 11404 | " <td>0.993775</td>\n", |
||
| 11405 | " </tr>\n", |
||
| 11406 | " </tbody>\n", |
||
| 11407 | "</table>\n", |
||
| 11408 | "<p>5 rows × 101 columns</p>\n", |
||
| 11409 | "</div>" |
||
| 11410 | ], |
||
| 11411 | "text/plain": [ |
||
| 11412 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 11413 | "46433 f3a75309f ID_f3a75309f CT ID_f6723c35 ID_fc07fac521 \n", |
||
| 11414 | "59590 dc7e09cbd ID_dc7e09cbd CT ID_f6723c35 ID_fc07fac521 \n", |
||
| 11415 | "33815 397e899f6 ID_397e899f6 CT ID_f6723c35 ID_fc07fac521 \n", |
||
| 11416 | "2113 ed2a8477b ID_ed2a8477b CT ID_f6723c35 ID_fc07fac521 \n", |
||
| 11417 | "61829 b2d64d052 ID_b2d64d052 CT ID_f6723c35 ID_fc07fac521 \n", |
||
| 11418 | "\n", |
||
| 11419 | " SeriesInstanceUID StudyID ImagePositionPatient \\\n", |
||
| 11420 | "46433 ID_cfd350c878 NaN ['-125.000', '-118.558', '151.625'] \n", |
||
| 11421 | "59590 ID_cfd350c878 NaN ['-125.000', '-118.558', '130.820'] \n", |
||
| 11422 | "33815 ID_cfd350c878 NaN ['-125.000', '-118.558', '146.424'] \n", |
||
| 11423 | "2113 ID_cfd350c878 NaN ['-125.000', '-118.558', '141.222'] \n", |
||
| 11424 | "61829 ID_cfd350c878 NaN ['-125.000', '-118.558', '136.021'] \n", |
||
| 11425 | "\n", |
||
| 11426 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 11427 | "46433 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 11428 | "59590 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 11429 | "33815 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 11430 | "2113 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 11431 | "61829 ['1.000000', '0.000000', '0.000000', '0.000000... 1 \n", |
||
| 11432 | "\n", |
||
| 11433 | " PhotometricInterpretation Rows Columns PixelSpacing \\\n", |
||
| 11434 | "46433 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 11435 | "59590 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 11436 | "33815 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 11437 | "2113 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 11438 | "61829 MONOCHROME2 512 512 ['0.488281', '0.488281'] \n", |
||
| 11439 | "\n", |
||
| 11440 | " BitsAllocated BitsStored HighBit PixelRepresentation WindowCenter \\\n", |
||
| 11441 | "46433 16 16 15 1 40 \n", |
||
| 11442 | "59590 16 16 15 1 40 \n", |
||
| 11443 | "33815 16 16 15 1 40 \n", |
||
| 11444 | "2113 16 16 15 1 40 \n", |
||
| 11445 | "61829 16 16 15 1 40 \n", |
||
| 11446 | "\n", |
||
| 11447 | " WindowWidth RescaleIntercept RescaleSlope PxlMin PxlMax PxlStd \\\n", |
||
| 11448 | "46433 150 -1024.0 1.0 -0.064 0.292000 0.113617 \n", |
||
| 11449 | "59590 150 -1024.0 1.0 -0.064 0.180000 0.216861 \n", |
||
| 11450 | "33815 150 -1024.0 1.0 -0.064 0.218667 0.157382 \n", |
||
| 11451 | "2113 150 -1024.0 1.0 -0.064 0.169333 0.193354 \n", |
||
| 11452 | "61829 150 -1024.0 1.0 -0.064 0.148000 0.208909 \n", |
||
| 11453 | "\n", |
||
| 11454 | " PxlMean test test2 ImageOrientationPatient_0 \\\n", |
||
| 11455 | "46433 -0.426832 False True 1.0 \n", |
||
| 11456 | "59590 -0.102710 False True 1.0 \n", |
||
| 11457 | "33815 -0.319805 False True 1.0 \n", |
||
| 11458 | "2113 -0.226621 False True 1.0 \n", |
||
| 11459 | "61829 -0.156506 False True 1.0 \n", |
||
| 11460 | "\n", |
||
| 11461 | " ImageOrientationPatient_1 ImageOrientationPatient_2 \\\n", |
||
| 11462 | "46433 0.0 0.0 \n", |
||
| 11463 | "59590 0.0 0.0 \n", |
||
| 11464 | "33815 0.0 0.0 \n", |
||
| 11465 | "2113 0.0 0.0 \n", |
||
| 11466 | "61829 0.0 0.0 \n", |
||
| 11467 | "\n", |
||
| 11468 | " ImageOrientationPatient_3 ImageOrientationPatient_4 \\\n", |
||
| 11469 | "46433 0.0 0.961262 \n", |
||
| 11470 | "59590 0.0 0.961262 \n", |
||
| 11471 | "33815 0.0 0.961262 \n", |
||
| 11472 | "2113 0.0 0.961262 \n", |
||
| 11473 | "61829 0.0 0.961262 \n", |
||
| 11474 | "\n", |
||
| 11475 | " ImageOrientationPatient_5 ImagePositionPatient_0 \\\n", |
||
| 11476 | "46433 -0.275637 -125.0 \n", |
||
| 11477 | "59590 -0.275637 -125.0 \n", |
||
| 11478 | "33815 -0.275637 -125.0 \n", |
||
| 11479 | "2113 -0.275637 -125.0 \n", |
||
| 11480 | "61829 -0.275637 -125.0 \n", |
||
| 11481 | "\n", |
||
| 11482 | " ImagePositionPatient_1 ImagePositionPatient_2 PixelSpacing_0 \\\n", |
||
| 11483 | "46433 -118.558 151.625 0.488281 \n", |
||
| 11484 | "59590 -118.558 130.820 0.488281 \n", |
||
| 11485 | "33815 -118.558 146.424 0.488281 \n", |
||
| 11486 | "2113 -118.558 141.222 0.488281 \n", |
||
| 11487 | "61829 -118.558 136.021 0.488281 \n", |
||
| 11488 | "\n", |
||
| 11489 | " PixelSpacing_1 WindowCenter_0 WindowCenter_1 WindowCenter_1_NAN \\\n", |
||
| 11490 | "46433 0.488281 40.0 NaN True \n", |
||
| 11491 | "59590 0.488281 40.0 NaN True \n", |
||
| 11492 | "33815 0.488281 40.0 NaN True \n", |
||
| 11493 | "2113 0.488281 40.0 NaN True \n", |
||
| 11494 | "61829 0.488281 40.0 NaN True \n", |
||
| 11495 | "\n", |
||
| 11496 | " WindowWidth_0 WindowWidth_1 WindowWidth_0_le WindowWidth_1_le \\\n", |
||
| 11497 | "46433 150.0 NaN 1 1 \n", |
||
| 11498 | "59590 150.0 NaN 1 1 \n", |
||
| 11499 | "33815 150.0 NaN 1 1 \n", |
||
| 11500 | "2113 150.0 NaN 1 1 \n", |
||
| 11501 | "61829 150.0 NaN 1 1 \n", |
||
| 11502 | "\n", |
||
| 11503 | " WindowCenter_1_le BitType_le ImageOrientationPatient_4_f \\\n", |
||
| 11504 | "46433 3 0 2.15016 \n", |
||
| 11505 | "59590 3 0 2.15016 \n", |
||
| 11506 | "33815 3 0 2.15016 \n", |
||
| 11507 | "2113 3 0 2.15016 \n", |
||
| 11508 | "61829 3 0 2.15016 \n", |
||
| 11509 | "\n", |
||
| 11510 | " ImageOrientationPatient_4_enc_0 ... ImageOrientationPatient_5_f \\\n", |
||
| 11511 | "46433 0.0 ... 1.495753 \n", |
||
| 11512 | "59590 0.0 ... 1.495753 \n", |
||
| 11513 | "33815 0.0 ... 1.495753 \n", |
||
| 11514 | "2113 0.0 ... 1.495753 \n", |
||
| 11515 | "61829 0.0 ... 1.495753 \n", |
||
| 11516 | "\n", |
||
| 11517 | " ImageOrientationPatient_5_enc_0 ImageOrientationPatient_5_enc_1 \\\n", |
||
| 11518 | "46433 0.0 False \n", |
||
| 11519 | "59590 0.0 False \n", |
||
| 11520 | "33815 0.0 False \n", |
||
| 11521 | "2113 0.0 False \n", |
||
| 11522 | "61829 0.0 False \n", |
||
| 11523 | "\n", |
||
| 11524 | " ImagePositionPatient_0_f ImagePositionPatient_0_enc_0 \\\n", |
||
| 11525 | "46433 -0.72 1.0 \n", |
||
| 11526 | "59590 -0.72 1.0 \n", |
||
| 11527 | "33815 -0.72 1.0 \n", |
||
| 11528 | "2113 -0.72 1.0 \n", |
||
| 11529 | "61829 -0.72 1.0 \n", |
||
| 11530 | "\n", |
||
| 11531 | " ImagePositionPatient_0_enc_1 ImagePositionPatient_0_f_r1 \\\n", |
||
| 11532 | "46433 0.0 1.0 \n", |
||
| 11533 | "59590 0.0 1.0 \n", |
||
| 11534 | "33815 0.0 1.0 \n", |
||
| 11535 | "2113 0.0 1.0 \n", |
||
| 11536 | "61829 0.0 1.0 \n", |
||
| 11537 | "\n", |
||
| 11538 | " ImagePositionPatient_0_f_r05 ImagePositionPatient_1_f \\\n", |
||
| 11539 | "46433 1.0 -0.714107 \n", |
||
| 11540 | "59590 1.0 -0.714107 \n", |
||
| 11541 | "33815 1.0 -0.714107 \n", |
||
| 11542 | "2113 1.0 -0.714107 \n", |
||
| 11543 | "61829 1.0 -0.714107 \n", |
||
| 11544 | "\n", |
||
| 11545 | " ImagePositionPatient_1_enc_0 ImagePositionPatient_2_f \\\n", |
||
| 11546 | "46433 0.0 -0.022027 \n", |
||
| 11547 | "59590 0.0 -0.051834 \n", |
||
| 11548 | "33815 0.0 -0.029479 \n", |
||
| 11549 | "2113 0.0 -0.036931 \n", |
||
| 11550 | "61829 0.0 -0.044383 \n", |
||
| 11551 | "\n", |
||
| 11552 | " ImagePositionPatient_2_f_r05 PixelSpacing_1_f PixelSpacing_1_enc_0 \\\n", |
||
| 11553 | "46433 0.0 -0.48 1.0 \n", |
||
| 11554 | "59590 0.0 -0.48 1.0 \n", |
||
| 11555 | "33815 0.0 -0.48 1.0 \n", |
||
| 11556 | "2113 0.0 -0.48 1.0 \n", |
||
| 11557 | "61829 0.0 -0.48 1.0 \n", |
||
| 11558 | "\n", |
||
| 11559 | " PixelSpacing_1_enc_1 WindowCenter_0_le pos_max pos_min pos_size \\\n", |
||
| 11560 | "46433 False 2 0.68972 0.127984 -0.7 \n", |
||
| 11561 | "59590 False 2 0.68972 0.127984 -0.7 \n", |
||
| 11562 | "33815 False 2 0.68972 0.127984 -0.7 \n", |
||
| 11563 | "2113 False 2 0.68972 0.127984 -0.7 \n", |
||
| 11564 | "61829 False 2 0.68972 0.127984 -0.7 \n", |
||
| 11565 | "\n", |
||
| 11566 | " pos_idx1 pos_idx pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le \\\n", |
||
| 11567 | "46433 0.406780 23 -0.881356 1.6005 1.6005 3 \n", |
||
| 11568 | "59590 0.135593 19 -0.610169 1.6005 1.6005 3 \n", |
||
| 11569 | "33815 0.338983 22 -0.813559 1.6010 1.6005 3 \n", |
||
| 11570 | "2113 0.271186 21 -0.745763 1.6005 1.6010 3 \n", |
||
| 11571 | "61829 0.203390 20 -0.677966 1.6005 1.6005 3 \n", |
||
| 11572 | "\n", |
||
| 11573 | " pos_inc2_grp_le pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 \\\n", |
||
| 11574 | "46433 3 0.0 1.0 0.0 \n", |
||
| 11575 | "59590 3 0.0 1.0 0.0 \n", |
||
| 11576 | "33815 3 0.0 1.0 0.0 \n", |
||
| 11577 | "2113 3 0.0 1.0 0.0 \n", |
||
| 11578 | "61829 3 0.0 1.0 0.0 \n", |
||
| 11579 | "\n", |
||
| 11580 | " pos_inc2_enc_0 pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le pos_range \\\n", |
||
| 11581 | "46433 0.0 0.0 0.0 3 -0.655093 \n", |
||
| 11582 | "59590 0.0 0.0 0.0 3 -0.655093 \n", |
||
| 11583 | "33815 0.0 0.0 0.0 3 -0.655093 \n", |
||
| 11584 | "2113 0.0 0.0 0.0 3 -0.655093 \n", |
||
| 11585 | "61829 0.0 0.0 0.0 3 -0.655093 \n", |
||
| 11586 | "\n", |
||
| 11587 | " pos_rel pos_zeros pos_inc_rng pos_zeros_le PxlMin_grp_le \\\n", |
||
| 11588 | "46433 1.407408 0.0 -0.599615 0 1 \n", |
||
| 11589 | "59590 0.814817 0.0 -0.599615 0 1 \n", |
||
| 11590 | "33815 1.259268 0.0 -0.599615 0 1 \n", |
||
| 11591 | "2113 1.111098 0.0 -0.599615 0 1 \n", |
||
| 11592 | "61829 0.962958 0.0 -0.599615 0 1 \n", |
||
| 11593 | "\n", |
||
| 11594 | " PxlMin_zero any epidural intraparenchymal intraventricular \\\n", |
||
| 11595 | "46433 False NaN NaN NaN NaN \n", |
||
| 11596 | "59590 False NaN NaN NaN NaN \n", |
||
| 11597 | "33815 False NaN NaN NaN NaN \n", |
||
| 11598 | "2113 False NaN NaN NaN NaN \n", |
||
| 11599 | "61829 False NaN NaN NaN NaN \n", |
||
| 11600 | "\n", |
||
| 11601 | " subarachnoid subdural any_series SeriesPP yuval_idx pred_any \n", |
||
| 11602 | "46433 NaN NaN False -0.5 55354 0.993246 \n", |
||
| 11603 | "59590 NaN NaN False -0.5 55350 0.993314 \n", |
||
| 11604 | "33815 NaN NaN False -0.5 55353 0.993623 \n", |
||
| 11605 | "2113 NaN NaN False -0.5 55352 0.993728 \n", |
||
| 11606 | "61829 NaN NaN False -0.5 55351 0.993775 \n", |
||
| 11607 | "\n", |
||
| 11608 | "[5 rows x 101 columns]" |
||
| 11609 | ] |
||
| 11610 | }, |
||
| 11611 | "execution_count": 67, |
||
| 11612 | "metadata": {}, |
||
| 11613 | "output_type": "execute_result" |
||
| 11614 | } |
||
| 11615 | ], |
||
| 11616 | "source": [ |
||
| 11617 | "test_md['pred_any'] = predictions[:,4]\n", |
||
| 11618 | "test_md.sort_values('pred_any').tail()" |
||
| 11619 | ] |
||
| 11620 | }, |
||
| 11621 | { |
||
| 11622 | "cell_type": "code", |
||
| 11623 | "execution_count": 68, |
||
| 11624 | "metadata": {}, |
||
| 11625 | "outputs": [ |
||
| 11626 | { |
||
| 11627 | "data": { |
||
| 11628 | "text/html": [ |
||
| 11629 | "<div>\n", |
||
| 11630 | "<style scoped>\n", |
||
| 11631 | " .dataframe tbody tr th:only-of-type {\n", |
||
| 11632 | " vertical-align: middle;\n", |
||
| 11633 | " }\n", |
||
| 11634 | "\n", |
||
| 11635 | " .dataframe tbody tr th {\n", |
||
| 11636 | " vertical-align: top;\n", |
||
| 11637 | " }\n", |
||
| 11638 | "\n", |
||
| 11639 | " .dataframe thead th {\n", |
||
| 11640 | " text-align: right;\n", |
||
| 11641 | " }\n", |
||
| 11642 | "</style>\n", |
||
| 11643 | "<table border=\"1\" class=\"dataframe\">\n", |
||
| 11644 | " <thead>\n", |
||
| 11645 | " <tr style=\"text-align: right;\">\n", |
||
| 11646 | " <th></th>\n", |
||
| 11647 | " <th>img_id</th>\n", |
||
| 11648 | " <th>SOPInstanceUID</th>\n", |
||
| 11649 | " <th>Modality</th>\n", |
||
| 11650 | " <th>PatientID</th>\n", |
||
| 11651 | " <th>StudyInstanceUID</th>\n", |
||
| 11652 | " <th>SeriesInstanceUID</th>\n", |
||
| 11653 | " <th>StudyID</th>\n", |
||
| 11654 | " <th>ImagePositionPatient</th>\n", |
||
| 11655 | " <th>ImageOrientationPatient</th>\n", |
||
| 11656 | " <th>SamplesPerPixel</th>\n", |
||
| 11657 | " <th>PhotometricInterpretation</th>\n", |
||
| 11658 | " <th>Rows</th>\n", |
||
| 11659 | " <th>Columns</th>\n", |
||
| 11660 | " <th>PixelSpacing</th>\n", |
||
| 11661 | " <th>BitsAllocated</th>\n", |
||
| 11662 | " <th>BitsStored</th>\n", |
||
| 11663 | " <th>HighBit</th>\n", |
||
| 11664 | " <th>PixelRepresentation</th>\n", |
||
| 11665 | " <th>WindowCenter</th>\n", |
||
| 11666 | " <th>WindowWidth</th>\n", |
||
| 11667 | " <th>RescaleIntercept</th>\n", |
||
| 11668 | " <th>RescaleSlope</th>\n", |
||
| 11669 | " <th>PxlMin</th>\n", |
||
| 11670 | " <th>PxlMax</th>\n", |
||
| 11671 | " <th>PxlStd</th>\n", |
||
| 11672 | " <th>PxlMean</th>\n", |
||
| 11673 | " <th>test</th>\n", |
||
| 11674 | " <th>test2</th>\n", |
||
| 11675 | " <th>ImageOrientationPatient_0</th>\n", |
||
| 11676 | " <th>ImageOrientationPatient_1</th>\n", |
||
| 11677 | " <th>ImageOrientationPatient_2</th>\n", |
||
| 11678 | " <th>ImageOrientationPatient_3</th>\n", |
||
| 11679 | " <th>ImageOrientationPatient_4</th>\n", |
||
| 11680 | " <th>ImageOrientationPatient_5</th>\n", |
||
| 11681 | " <th>ImagePositionPatient_0</th>\n", |
||
| 11682 | " <th>ImagePositionPatient_1</th>\n", |
||
| 11683 | " <th>ImagePositionPatient_2</th>\n", |
||
| 11684 | " <th>PixelSpacing_0</th>\n", |
||
| 11685 | " <th>PixelSpacing_1</th>\n", |
||
| 11686 | " <th>WindowCenter_0</th>\n", |
||
| 11687 | " <th>WindowCenter_1</th>\n", |
||
| 11688 | " <th>WindowCenter_1_NAN</th>\n", |
||
| 11689 | " <th>WindowWidth_0</th>\n", |
||
| 11690 | " <th>WindowWidth_1</th>\n", |
||
| 11691 | " <th>WindowWidth_0_le</th>\n", |
||
| 11692 | " <th>WindowWidth_1_le</th>\n", |
||
| 11693 | " <th>WindowCenter_1_le</th>\n", |
||
| 11694 | " <th>BitType_le</th>\n", |
||
| 11695 | " <th>ImageOrientationPatient_4_f</th>\n", |
||
| 11696 | " <th>ImageOrientationPatient_4_enc_0</th>\n", |
||
| 11697 | " <th>...</th>\n", |
||
| 11698 | " <th>ImageOrientationPatient_5_f</th>\n", |
||
| 11699 | " <th>ImageOrientationPatient_5_enc_0</th>\n", |
||
| 11700 | " <th>ImageOrientationPatient_5_enc_1</th>\n", |
||
| 11701 | " <th>ImagePositionPatient_0_f</th>\n", |
||
| 11702 | " <th>ImagePositionPatient_0_enc_0</th>\n", |
||
| 11703 | " <th>ImagePositionPatient_0_enc_1</th>\n", |
||
| 11704 | " <th>ImagePositionPatient_0_f_r1</th>\n", |
||
| 11705 | " <th>ImagePositionPatient_0_f_r05</th>\n", |
||
| 11706 | " <th>ImagePositionPatient_1_f</th>\n", |
||
| 11707 | " <th>ImagePositionPatient_1_enc_0</th>\n", |
||
| 11708 | " <th>ImagePositionPatient_2_f</th>\n", |
||
| 11709 | " <th>ImagePositionPatient_2_f_r05</th>\n", |
||
| 11710 | " <th>PixelSpacing_1_f</th>\n", |
||
| 11711 | " <th>PixelSpacing_1_enc_0</th>\n", |
||
| 11712 | " <th>PixelSpacing_1_enc_1</th>\n", |
||
| 11713 | " <th>WindowCenter_0_le</th>\n", |
||
| 11714 | " <th>pos_max</th>\n", |
||
| 11715 | " <th>pos_min</th>\n", |
||
| 11716 | " <th>pos_size</th>\n", |
||
| 11717 | " <th>pos_idx1</th>\n", |
||
| 11718 | " <th>pos_idx</th>\n", |
||
| 11719 | " <th>pos_idx2</th>\n", |
||
| 11720 | " <th>pos_inc1</th>\n", |
||
| 11721 | " <th>pos_inc2</th>\n", |
||
| 11722 | " <th>pos_inc1_grp_le</th>\n", |
||
| 11723 | " <th>pos_inc2_grp_le</th>\n", |
||
| 11724 | " <th>pos_inc1_r1</th>\n", |
||
| 11725 | " <th>pos_inc1_r0001</th>\n", |
||
| 11726 | " <th>pos_inc1_enc_0</th>\n", |
||
| 11727 | " <th>pos_inc2_enc_0</th>\n", |
||
| 11728 | " <th>pos_inc1_enc_1</th>\n", |
||
| 11729 | " <th>pos_inc2_enc_1</th>\n", |
||
| 11730 | " <th>pos_size_le</th>\n", |
||
| 11731 | " <th>pos_range</th>\n", |
||
| 11732 | " <th>pos_rel</th>\n", |
||
| 11733 | " <th>pos_zeros</th>\n", |
||
| 11734 | " <th>pos_inc_rng</th>\n", |
||
| 11735 | " <th>pos_zeros_le</th>\n", |
||
| 11736 | " <th>PxlMin_grp_le</th>\n", |
||
| 11737 | " <th>PxlMin_zero</th>\n", |
||
| 11738 | " <th>any</th>\n", |
||
| 11739 | " <th>epidural</th>\n", |
||
| 11740 | " <th>intraparenchymal</th>\n", |
||
| 11741 | " <th>intraventricular</th>\n", |
||
| 11742 | " <th>subarachnoid</th>\n", |
||
| 11743 | " <th>subdural</th>\n", |
||
| 11744 | " <th>any_series</th>\n", |
||
| 11745 | " <th>SeriesPP</th>\n", |
||
| 11746 | " <th>yuval_idx</th>\n", |
||
| 11747 | " <th>pred_any</th>\n", |
||
| 11748 | " </tr>\n", |
||
| 11749 | " </thead>\n", |
||
| 11750 | " <tbody>\n", |
||
| 11751 | " <tr>\n", |
||
| 11752 | " <td>9661</td>\n", |
||
| 11753 | " <td>feb0a9076</td>\n", |
||
| 11754 | " <td>ID_feb0a9076</td>\n", |
||
| 11755 | " <td>CT</td>\n", |
||
| 11756 | " <td>ID_252323d1</td>\n", |
||
| 11757 | " <td>ID_0257ad04c2</td>\n", |
||
| 11758 | " <td>ID_58b46714eb</td>\n", |
||
| 11759 | " <td>NaN</td>\n", |
||
| 11760 | " <td>['-125', '24.4169536', '204.228683']</td>\n", |
||
| 11761 | " <td>['1', '0', '0', '0', '0.990268069', '-0.139173...</td>\n", |
||
| 11762 | " <td>1</td>\n", |
||
| 11763 | " <td>MONOCHROME2</td>\n", |
||
| 11764 | " <td>512</td>\n", |
||
| 11765 | " <td>512</td>\n", |
||
| 11766 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 11767 | " <td>16</td>\n", |
||
| 11768 | " <td>12</td>\n", |
||
| 11769 | " <td>11</td>\n", |
||
| 11770 | " <td>0</td>\n", |
||
| 11771 | " <td>['00040', '00040']</td>\n", |
||
| 11772 | " <td>['00080', '00080']</td>\n", |
||
| 11773 | " <td>-1024.0</td>\n", |
||
| 11774 | " <td>1.0</td>\n", |
||
| 11775 | " <td>1.301333</td>\n", |
||
| 11776 | " <td>0.126667</td>\n", |
||
| 11777 | " <td>-0.761993</td>\n", |
||
| 11778 | " <td>1.166719</td>\n", |
||
| 11779 | " <td>False</td>\n", |
||
| 11780 | " <td>True</td>\n", |
||
| 11781 | " <td>1.0</td>\n", |
||
| 11782 | " <td>0.0</td>\n", |
||
| 11783 | " <td>0.0</td>\n", |
||
| 11784 | " <td>0.0</td>\n", |
||
| 11785 | " <td>0.990268</td>\n", |
||
| 11786 | " <td>-0.139173</td>\n", |
||
| 11787 | " <td>-125.0</td>\n", |
||
| 11788 | " <td>24.416954</td>\n", |
||
| 11789 | " <td>204.228683</td>\n", |
||
| 11790 | " <td>0.488281</td>\n", |
||
| 11791 | " <td>0.488281</td>\n", |
||
| 11792 | " <td>40.0</td>\n", |
||
| 11793 | " <td>40.0</td>\n", |
||
| 11794 | " <td>False</td>\n", |
||
| 11795 | " <td>80.0</td>\n", |
||
| 11796 | " <td>80.0</td>\n", |
||
| 11797 | " <td>0</td>\n", |
||
| 11798 | " <td>0</td>\n", |
||
| 11799 | " <td>1</td>\n", |
||
| 11800 | " <td>1</td>\n", |
||
| 11801 | " <td>2.536908</td>\n", |
||
| 11802 | " <td>0.0</td>\n", |
||
| 11803 | " <td>...</td>\n", |
||
| 11804 | " <td>2.405513</td>\n", |
||
| 11805 | " <td>0.0</td>\n", |
||
| 11806 | " <td>False</td>\n", |
||
| 11807 | " <td>-0.72</td>\n", |
||
| 11808 | " <td>1.0</td>\n", |
||
| 11809 | " <td>0.0</td>\n", |
||
| 11810 | " <td>1.0</td>\n", |
||
| 11811 | " <td>1.0</td>\n", |
||
| 11812 | " <td>1.192226</td>\n", |
||
| 11813 | " <td>1.0</td>\n", |
||
| 11814 | " <td>0.053336</td>\n", |
||
| 11815 | " <td>0.0</td>\n", |
||
| 11816 | " <td>-0.48</td>\n", |
||
| 11817 | " <td>1.0</td>\n", |
||
| 11818 | " <td>False</td>\n", |
||
| 11819 | " <td>2</td>\n", |
||
| 11820 | " <td>1.099715</td>\n", |
||
| 11821 | " <td>0.473493</td>\n", |
||
| 11822 | " <td>-0.3</td>\n", |
||
| 11823 | " <td>0.000000</td>\n", |
||
| 11824 | " <td>17</td>\n", |
||
| 11825 | " <td>-0.203390</td>\n", |
||
| 11826 | " <td>1.527710</td>\n", |
||
| 11827 | " <td>1.522339</td>\n", |
||
| 11828 | " <td>3</td>\n", |
||
| 11829 | " <td>3</td>\n", |
||
| 11830 | " <td>0.0</td>\n", |
||
| 11831 | " <td>0.0</td>\n", |
||
| 11832 | " <td>0.0</td>\n", |
||
| 11833 | " <td>0.0</td>\n", |
||
| 11834 | " <td>0.0</td>\n", |
||
| 11835 | " <td>0.0</td>\n", |
||
| 11836 | " <td>0</td>\n", |
||
| 11837 | " <td>-0.225189</td>\n", |
||
| 11838 | " <td>0.193609</td>\n", |
||
| 11839 | " <td>0.0</td>\n", |
||
| 11840 | " <td>-0.595692</td>\n", |
||
| 11841 | " <td>0</td>\n", |
||
| 11842 | " <td>2</td>\n", |
||
| 11843 | " <td>False</td>\n", |
||
| 11844 | " <td>NaN</td>\n", |
||
| 11845 | " <td>NaN</td>\n", |
||
| 11846 | " <td>NaN</td>\n", |
||
| 11847 | " <td>NaN</td>\n", |
||
| 11848 | " <td>NaN</td>\n", |
||
| 11849 | " <td>NaN</td>\n", |
||
| 11850 | " <td>False</td>\n", |
||
| 11851 | " <td>-0.5</td>\n", |
||
| 11852 | " <td>49823</td>\n", |
||
| 11853 | " <td>0.992338</td>\n", |
||
| 11854 | " </tr>\n", |
||
| 11855 | " <tr>\n", |
||
| 11856 | " <td>107285</td>\n", |
||
| 11857 | " <td>cfbf38afe</td>\n", |
||
| 11858 | " <td>ID_cfbf38afe</td>\n", |
||
| 11859 | " <td>CT</td>\n", |
||
| 11860 | " <td>ID_6e75b42a</td>\n", |
||
| 11861 | " <td>ID_b94674c76f</td>\n", |
||
| 11862 | " <td>ID_93d835d9f3</td>\n", |
||
| 11863 | " <td>NaN</td>\n", |
||
| 11864 | " <td>['-125', '17.5586391', '177.279488']</td>\n", |
||
| 11865 | " <td>['1', '0', '0', '0', '0.933580426', '-0.358367...</td>\n", |
||
| 11866 | " <td>1</td>\n", |
||
| 11867 | " <td>MONOCHROME2</td>\n", |
||
| 11868 | " <td>512</td>\n", |
||
| 11869 | " <td>512</td>\n", |
||
| 11870 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 11871 | " <td>16</td>\n", |
||
| 11872 | " <td>12</td>\n", |
||
| 11873 | " <td>11</td>\n", |
||
| 11874 | " <td>0</td>\n", |
||
| 11875 | " <td>['00040', '00040']</td>\n", |
||
| 11876 | " <td>['00080', '00080']</td>\n", |
||
| 11877 | " <td>-1024.0</td>\n", |
||
| 11878 | " <td>1.0</td>\n", |
||
| 11879 | " <td>1.301333</td>\n", |
||
| 11880 | " <td>0.098667</td>\n", |
||
| 11881 | " <td>-0.807341</td>\n", |
||
| 11882 | " <td>1.049002</td>\n", |
||
| 11883 | " <td>False</td>\n", |
||
| 11884 | " <td>True</td>\n", |
||
| 11885 | " <td>1.0</td>\n", |
||
| 11886 | " <td>0.0</td>\n", |
||
| 11887 | " <td>0.0</td>\n", |
||
| 11888 | " <td>0.0</td>\n", |
||
| 11889 | " <td>0.933580</td>\n", |
||
| 11890 | " <td>-0.358368</td>\n", |
||
| 11891 | " <td>-125.0</td>\n", |
||
| 11892 | " <td>17.558639</td>\n", |
||
| 11893 | " <td>177.279488</td>\n", |
||
| 11894 | " <td>0.488281</td>\n", |
||
| 11895 | " <td>0.488281</td>\n", |
||
| 11896 | " <td>40.0</td>\n", |
||
| 11897 | " <td>40.0</td>\n", |
||
| 11898 | " <td>False</td>\n", |
||
| 11899 | " <td>80.0</td>\n", |
||
| 11900 | " <td>80.0</td>\n", |
||
| 11901 | " <td>0</td>\n", |
||
| 11902 | " <td>0</td>\n", |
||
| 11903 | " <td>1</td>\n", |
||
| 11904 | " <td>1</td>\n", |
||
| 11905 | " <td>1.781072</td>\n", |
||
| 11906 | " <td>0.0</td>\n", |
||
| 11907 | " <td>...</td>\n", |
||
| 11908 | " <td>0.944214</td>\n", |
||
| 11909 | " <td>0.0</td>\n", |
||
| 11910 | " <td>False</td>\n", |
||
| 11911 | " <td>-0.72</td>\n", |
||
| 11912 | " <td>1.0</td>\n", |
||
| 11913 | " <td>0.0</td>\n", |
||
| 11914 | " <td>1.0</td>\n", |
||
| 11915 | " <td>1.0</td>\n", |
||
| 11916 | " <td>1.100782</td>\n", |
||
| 11917 | " <td>1.0</td>\n", |
||
| 11918 | " <td>0.014727</td>\n", |
||
| 11919 | " <td>0.0</td>\n", |
||
| 11920 | " <td>-0.48</td>\n", |
||
| 11921 | " <td>1.0</td>\n", |
||
| 11922 | " <td>False</td>\n", |
||
| 11923 | " <td>2</td>\n", |
||
| 11924 | " <td>1.051518</td>\n", |
||
| 11925 | " <td>0.388022</td>\n", |
||
| 11926 | " <td>-0.3</td>\n", |
||
| 11927 | " <td>-0.135593</td>\n", |
||
| 11928 | " <td>15</td>\n", |
||
| 11929 | " <td>-0.067797</td>\n", |
||
| 11930 | " <td>1.687011</td>\n", |
||
| 11931 | " <td>1.663025</td>\n", |
||
| 11932 | " <td>3</td>\n", |
||
| 11933 | " <td>3</td>\n", |
||
| 11934 | " <td>0.0</td>\n", |
||
| 11935 | " <td>0.0</td>\n", |
||
| 11936 | " <td>0.0</td>\n", |
||
| 11937 | " <td>0.0</td>\n", |
||
| 11938 | " <td>0.0</td>\n", |
||
| 11939 | " <td>0.0</td>\n", |
||
| 11940 | " <td>0</td>\n", |
||
| 11941 | " <td>0.023307</td>\n", |
||
| 11942 | " <td>-0.064219</td>\n", |
||
| 11943 | " <td>0.0</td>\n", |
||
| 11944 | " <td>-0.581939</td>\n", |
||
| 11945 | " <td>0</td>\n", |
||
| 11946 | " <td>2</td>\n", |
||
| 11947 | " <td>False</td>\n", |
||
| 11948 | " <td>NaN</td>\n", |
||
| 11949 | " <td>NaN</td>\n", |
||
| 11950 | " <td>NaN</td>\n", |
||
| 11951 | " <td>NaN</td>\n", |
||
| 11952 | " <td>NaN</td>\n", |
||
| 11953 | " <td>NaN</td>\n", |
||
| 11954 | " <td>False</td>\n", |
||
| 11955 | " <td>-0.5</td>\n", |
||
| 11956 | " <td>74776</td>\n", |
||
| 11957 | " <td>0.992465</td>\n", |
||
| 11958 | " </tr>\n", |
||
| 11959 | " <tr>\n", |
||
| 11960 | " <td>81787</td>\n", |
||
| 11961 | " <td>95aace9ba</td>\n", |
||
| 11962 | " <td>ID_95aace9ba</td>\n", |
||
| 11963 | " <td>CT</td>\n", |
||
| 11964 | " <td>ID_6e75b42a</td>\n", |
||
| 11965 | " <td>ID_b94674c76f</td>\n", |
||
| 11966 | " <td>ID_93d835d9f3</td>\n", |
||
| 11967 | " <td>NaN</td>\n", |
||
| 11968 | " <td>['-125', '17.5586391', '193.305489']</td>\n", |
||
| 11969 | " <td>['1', '0', '0', '0', '0.933580426', '-0.358367...</td>\n", |
||
| 11970 | " <td>1</td>\n", |
||
| 11971 | " <td>MONOCHROME2</td>\n", |
||
| 11972 | " <td>512</td>\n", |
||
| 11973 | " <td>512</td>\n", |
||
| 11974 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 11975 | " <td>16</td>\n", |
||
| 11976 | " <td>12</td>\n", |
||
| 11977 | " <td>11</td>\n", |
||
| 11978 | " <td>0</td>\n", |
||
| 11979 | " <td>['00040', '00040']</td>\n", |
||
| 11980 | " <td>['00080', '00080']</td>\n", |
||
| 11981 | " <td>-1024.0</td>\n", |
||
| 11982 | " <td>1.0</td>\n", |
||
| 11983 | " <td>1.301333</td>\n", |
||
| 11984 | " <td>0.086667</td>\n", |
||
| 11985 | " <td>-0.789830</td>\n", |
||
| 11986 | " <td>0.920645</td>\n", |
||
| 11987 | " <td>False</td>\n", |
||
| 11988 | " <td>True</td>\n", |
||
| 11989 | " <td>1.0</td>\n", |
||
| 11990 | " <td>0.0</td>\n", |
||
| 11991 | " <td>0.0</td>\n", |
||
| 11992 | " <td>0.0</td>\n", |
||
| 11993 | " <td>0.933580</td>\n", |
||
| 11994 | " <td>-0.358368</td>\n", |
||
| 11995 | " <td>-125.0</td>\n", |
||
| 11996 | " <td>17.558639</td>\n", |
||
| 11997 | " <td>193.305489</td>\n", |
||
| 11998 | " <td>0.488281</td>\n", |
||
| 11999 | " <td>0.488281</td>\n", |
||
| 12000 | " <td>40.0</td>\n", |
||
| 12001 | " <td>40.0</td>\n", |
||
| 12002 | " <td>False</td>\n", |
||
| 12003 | " <td>80.0</td>\n", |
||
| 12004 | " <td>80.0</td>\n", |
||
| 12005 | " <td>0</td>\n", |
||
| 12006 | " <td>0</td>\n", |
||
| 12007 | " <td>1</td>\n", |
||
| 12008 | " <td>1</td>\n", |
||
| 12009 | " <td>1.781072</td>\n", |
||
| 12010 | " <td>0.0</td>\n", |
||
| 12011 | " <td>...</td>\n", |
||
| 12012 | " <td>0.944214</td>\n", |
||
| 12013 | " <td>0.0</td>\n", |
||
| 12014 | " <td>False</td>\n", |
||
| 12015 | " <td>-0.72</td>\n", |
||
| 12016 | " <td>1.0</td>\n", |
||
| 12017 | " <td>0.0</td>\n", |
||
| 12018 | " <td>1.0</td>\n", |
||
| 12019 | " <td>1.0</td>\n", |
||
| 12020 | " <td>1.100782</td>\n", |
||
| 12021 | " <td>1.0</td>\n", |
||
| 12022 | " <td>0.037687</td>\n", |
||
| 12023 | " <td>0.0</td>\n", |
||
| 12024 | " <td>-0.48</td>\n", |
||
| 12025 | " <td>1.0</td>\n", |
||
| 12026 | " <td>False</td>\n", |
||
| 12027 | " <td>2</td>\n", |
||
| 12028 | " <td>1.051518</td>\n", |
||
| 12029 | " <td>0.388022</td>\n", |
||
| 12030 | " <td>-0.3</td>\n", |
||
| 12031 | " <td>0.067797</td>\n", |
||
| 12032 | " <td>18</td>\n", |
||
| 12033 | " <td>-0.271186</td>\n", |
||
| 12034 | " <td>1.662964</td>\n", |
||
| 12035 | " <td>1.687012</td>\n", |
||
| 12036 | " <td>3</td>\n", |
||
| 12037 | " <td>3</td>\n", |
||
| 12038 | " <td>0.0</td>\n", |
||
| 12039 | " <td>0.0</td>\n", |
||
| 12040 | " <td>0.0</td>\n", |
||
| 12041 | " <td>0.0</td>\n", |
||
| 12042 | " <td>0.0</td>\n", |
||
| 12043 | " <td>0.0</td>\n", |
||
| 12044 | " <td>0</td>\n", |
||
| 12045 | " <td>0.023307</td>\n", |
||
| 12046 | " <td>0.322242</td>\n", |
||
| 12047 | " <td>0.0</td>\n", |
||
| 12048 | " <td>-0.581939</td>\n", |
||
| 12049 | " <td>0</td>\n", |
||
| 12050 | " <td>2</td>\n", |
||
| 12051 | " <td>False</td>\n", |
||
| 12052 | " <td>NaN</td>\n", |
||
| 12053 | " <td>NaN</td>\n", |
||
| 12054 | " <td>NaN</td>\n", |
||
| 12055 | " <td>NaN</td>\n", |
||
| 12056 | " <td>NaN</td>\n", |
||
| 12057 | " <td>NaN</td>\n", |
||
| 12058 | " <td>False</td>\n", |
||
| 12059 | " <td>-0.5</td>\n", |
||
| 12060 | " <td>74779</td>\n", |
||
| 12061 | " <td>0.992568</td>\n", |
||
| 12062 | " </tr>\n", |
||
| 12063 | " <tr>\n", |
||
| 12064 | " <td>87951</td>\n", |
||
| 12065 | " <td>5092c392f</td>\n", |
||
| 12066 | " <td>ID_5092c392f</td>\n", |
||
| 12067 | " <td>CT</td>\n", |
||
| 12068 | " <td>ID_6e75b42a</td>\n", |
||
| 12069 | " <td>ID_b94674c76f</td>\n", |
||
| 12070 | " <td>ID_93d835d9f3</td>\n", |
||
| 12071 | " <td>NaN</td>\n", |
||
| 12072 | " <td>['-125', '17.5586391', '187.979561']</td>\n", |
||
| 12073 | " <td>['1', '0', '0', '0', '0.933580426', '-0.358367...</td>\n", |
||
| 12074 | " <td>1</td>\n", |
||
| 12075 | " <td>MONOCHROME2</td>\n", |
||
| 12076 | " <td>512</td>\n", |
||
| 12077 | " <td>512</td>\n", |
||
| 12078 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 12079 | " <td>16</td>\n", |
||
| 12080 | " <td>12</td>\n", |
||
| 12081 | " <td>11</td>\n", |
||
| 12082 | " <td>0</td>\n", |
||
| 12083 | " <td>['00040', '00040']</td>\n", |
||
| 12084 | " <td>['00080', '00080']</td>\n", |
||
| 12085 | " <td>-1024.0</td>\n", |
||
| 12086 | " <td>1.0</td>\n", |
||
| 12087 | " <td>1.301333</td>\n", |
||
| 12088 | " <td>0.130667</td>\n", |
||
| 12089 | " <td>-0.782852</td>\n", |
||
| 12090 | " <td>0.978311</td>\n", |
||
| 12091 | " <td>False</td>\n", |
||
| 12092 | " <td>True</td>\n", |
||
| 12093 | " <td>1.0</td>\n", |
||
| 12094 | " <td>0.0</td>\n", |
||
| 12095 | " <td>0.0</td>\n", |
||
| 12096 | " <td>0.0</td>\n", |
||
| 12097 | " <td>0.933580</td>\n", |
||
| 12098 | " <td>-0.358368</td>\n", |
||
| 12099 | " <td>-125.0</td>\n", |
||
| 12100 | " <td>17.558639</td>\n", |
||
| 12101 | " <td>187.979561</td>\n", |
||
| 12102 | " <td>0.488281</td>\n", |
||
| 12103 | " <td>0.488281</td>\n", |
||
| 12104 | " <td>40.0</td>\n", |
||
| 12105 | " <td>40.0</td>\n", |
||
| 12106 | " <td>False</td>\n", |
||
| 12107 | " <td>80.0</td>\n", |
||
| 12108 | " <td>80.0</td>\n", |
||
| 12109 | " <td>0</td>\n", |
||
| 12110 | " <td>0</td>\n", |
||
| 12111 | " <td>1</td>\n", |
||
| 12112 | " <td>1</td>\n", |
||
| 12113 | " <td>1.781072</td>\n", |
||
| 12114 | " <td>0.0</td>\n", |
||
| 12115 | " <td>...</td>\n", |
||
| 12116 | " <td>0.944214</td>\n", |
||
| 12117 | " <td>0.0</td>\n", |
||
| 12118 | " <td>False</td>\n", |
||
| 12119 | " <td>-0.72</td>\n", |
||
| 12120 | " <td>1.0</td>\n", |
||
| 12121 | " <td>0.0</td>\n", |
||
| 12122 | " <td>1.0</td>\n", |
||
| 12123 | " <td>1.0</td>\n", |
||
| 12124 | " <td>1.100782</td>\n", |
||
| 12125 | " <td>1.0</td>\n", |
||
| 12126 | " <td>0.030057</td>\n", |
||
| 12127 | " <td>0.0</td>\n", |
||
| 12128 | " <td>-0.48</td>\n", |
||
| 12129 | " <td>1.0</td>\n", |
||
| 12130 | " <td>False</td>\n", |
||
| 12131 | " <td>2</td>\n", |
||
| 12132 | " <td>1.051518</td>\n", |
||
| 12133 | " <td>0.388022</td>\n", |
||
| 12134 | " <td>-0.3</td>\n", |
||
| 12135 | " <td>0.000000</td>\n", |
||
| 12136 | " <td>17</td>\n", |
||
| 12137 | " <td>-0.203390</td>\n", |
||
| 12138 | " <td>1.687011</td>\n", |
||
| 12139 | " <td>1.662964</td>\n", |
||
| 12140 | " <td>3</td>\n", |
||
| 12141 | " <td>3</td>\n", |
||
| 12142 | " <td>0.0</td>\n", |
||
| 12143 | " <td>0.0</td>\n", |
||
| 12144 | " <td>0.0</td>\n", |
||
| 12145 | " <td>0.0</td>\n", |
||
| 12146 | " <td>0.0</td>\n", |
||
| 12147 | " <td>0.0</td>\n", |
||
| 12148 | " <td>0</td>\n", |
||
| 12149 | " <td>0.023307</td>\n", |
||
| 12150 | " <td>0.193809</td>\n", |
||
| 12151 | " <td>0.0</td>\n", |
||
| 12152 | " <td>-0.581939</td>\n", |
||
| 12153 | " <td>0</td>\n", |
||
| 12154 | " <td>2</td>\n", |
||
| 12155 | " <td>False</td>\n", |
||
| 12156 | " <td>NaN</td>\n", |
||
| 12157 | " <td>NaN</td>\n", |
||
| 12158 | " <td>NaN</td>\n", |
||
| 12159 | " <td>NaN</td>\n", |
||
| 12160 | " <td>NaN</td>\n", |
||
| 12161 | " <td>NaN</td>\n", |
||
| 12162 | " <td>False</td>\n", |
||
| 12163 | " <td>-0.5</td>\n", |
||
| 12164 | " <td>74778</td>\n", |
||
| 12165 | " <td>0.992820</td>\n", |
||
| 12166 | " </tr>\n", |
||
| 12167 | " <tr>\n", |
||
| 12168 | " <td>86533</td>\n", |
||
| 12169 | " <td>3a20374d3</td>\n", |
||
| 12170 | " <td>ID_3a20374d3</td>\n", |
||
| 12171 | " <td>CT</td>\n", |
||
| 12172 | " <td>ID_6e75b42a</td>\n", |
||
| 12173 | " <td>ID_b94674c76f</td>\n", |
||
| 12174 | " <td>ID_93d835d9f3</td>\n", |
||
| 12175 | " <td>NaN</td>\n", |
||
| 12176 | " <td>['-125', '17.5586391', '182.605538']</td>\n", |
||
| 12177 | " <td>['1', '0', '0', '0', '0.933580426', '-0.358367...</td>\n", |
||
| 12178 | " <td>1</td>\n", |
||
| 12179 | " <td>MONOCHROME2</td>\n", |
||
| 12180 | " <td>512</td>\n", |
||
| 12181 | " <td>512</td>\n", |
||
| 12182 | " <td>['0.48828125', '0.48828125']</td>\n", |
||
| 12183 | " <td>16</td>\n", |
||
| 12184 | " <td>12</td>\n", |
||
| 12185 | " <td>11</td>\n", |
||
| 12186 | " <td>0</td>\n", |
||
| 12187 | " <td>['00040', '00040']</td>\n", |
||
| 12188 | " <td>['00080', '00080']</td>\n", |
||
| 12189 | " <td>-1024.0</td>\n", |
||
| 12190 | " <td>1.0</td>\n", |
||
| 12191 | " <td>1.301333</td>\n", |
||
| 12192 | " <td>0.124000</td>\n", |
||
| 12193 | " <td>-0.788199</td>\n", |
||
| 12194 | " <td>1.016346</td>\n", |
||
| 12195 | " <td>False</td>\n", |
||
| 12196 | " <td>True</td>\n", |
||
| 12197 | " <td>1.0</td>\n", |
||
| 12198 | " <td>0.0</td>\n", |
||
| 12199 | " <td>0.0</td>\n", |
||
| 12200 | " <td>0.0</td>\n", |
||
| 12201 | " <td>0.933580</td>\n", |
||
| 12202 | " <td>-0.358368</td>\n", |
||
| 12203 | " <td>-125.0</td>\n", |
||
| 12204 | " <td>17.558639</td>\n", |
||
| 12205 | " <td>182.605538</td>\n", |
||
| 12206 | " <td>0.488281</td>\n", |
||
| 12207 | " <td>0.488281</td>\n", |
||
| 12208 | " <td>40.0</td>\n", |
||
| 12209 | " <td>40.0</td>\n", |
||
| 12210 | " <td>False</td>\n", |
||
| 12211 | " <td>80.0</td>\n", |
||
| 12212 | " <td>80.0</td>\n", |
||
| 12213 | " <td>0</td>\n", |
||
| 12214 | " <td>0</td>\n", |
||
| 12215 | " <td>1</td>\n", |
||
| 12216 | " <td>1</td>\n", |
||
| 12217 | " <td>1.781072</td>\n", |
||
| 12218 | " <td>0.0</td>\n", |
||
| 12219 | " <td>...</td>\n", |
||
| 12220 | " <td>0.944214</td>\n", |
||
| 12221 | " <td>0.0</td>\n", |
||
| 12222 | " <td>False</td>\n", |
||
| 12223 | " <td>-0.72</td>\n", |
||
| 12224 | " <td>1.0</td>\n", |
||
| 12225 | " <td>0.0</td>\n", |
||
| 12226 | " <td>1.0</td>\n", |
||
| 12227 | " <td>1.0</td>\n", |
||
| 12228 | " <td>1.100782</td>\n", |
||
| 12229 | " <td>1.0</td>\n", |
||
| 12230 | " <td>0.022358</td>\n", |
||
| 12231 | " <td>0.0</td>\n", |
||
| 12232 | " <td>-0.48</td>\n", |
||
| 12233 | " <td>1.0</td>\n", |
||
| 12234 | " <td>False</td>\n", |
||
| 12235 | " <td>2</td>\n", |
||
| 12236 | " <td>1.051518</td>\n", |
||
| 12237 | " <td>0.388022</td>\n", |
||
| 12238 | " <td>-0.3</td>\n", |
||
| 12239 | " <td>-0.067797</td>\n", |
||
| 12240 | " <td>16</td>\n", |
||
| 12241 | " <td>-0.135593</td>\n", |
||
| 12242 | " <td>1.663025</td>\n", |
||
| 12243 | " <td>1.687011</td>\n", |
||
| 12244 | " <td>3</td>\n", |
||
| 12245 | " <td>3</td>\n", |
||
| 12246 | " <td>0.0</td>\n", |
||
| 12247 | " <td>0.0</td>\n", |
||
| 12248 | " <td>0.0</td>\n", |
||
| 12249 | " <td>0.0</td>\n", |
||
| 12250 | " <td>0.0</td>\n", |
||
| 12251 | " <td>0.0</td>\n", |
||
| 12252 | " <td>0</td>\n", |
||
| 12253 | " <td>0.023307</td>\n", |
||
| 12254 | " <td>0.064217</td>\n", |
||
| 12255 | " <td>0.0</td>\n", |
||
| 12256 | " <td>-0.581939</td>\n", |
||
| 12257 | " <td>0</td>\n", |
||
| 12258 | " <td>2</td>\n", |
||
| 12259 | " <td>False</td>\n", |
||
| 12260 | " <td>NaN</td>\n", |
||
| 12261 | " <td>NaN</td>\n", |
||
| 12262 | " <td>NaN</td>\n", |
||
| 12263 | " <td>NaN</td>\n", |
||
| 12264 | " <td>NaN</td>\n", |
||
| 12265 | " <td>NaN</td>\n", |
||
| 12266 | " <td>False</td>\n", |
||
| 12267 | " <td>-0.5</td>\n", |
||
| 12268 | " <td>74777</td>\n", |
||
| 12269 | " <td>0.992826</td>\n", |
||
| 12270 | " </tr>\n", |
||
| 12271 | " </tbody>\n", |
||
| 12272 | "</table>\n", |
||
| 12273 | "<p>5 rows × 101 columns</p>\n", |
||
| 12274 | "</div>" |
||
| 12275 | ], |
||
| 12276 | "text/plain": [ |
||
| 12277 | " img_id SOPInstanceUID Modality PatientID StudyInstanceUID \\\n", |
||
| 12278 | "9661 feb0a9076 ID_feb0a9076 CT ID_252323d1 ID_0257ad04c2 \n", |
||
| 12279 | "107285 cfbf38afe ID_cfbf38afe CT ID_6e75b42a ID_b94674c76f \n", |
||
| 12280 | "81787 95aace9ba ID_95aace9ba CT ID_6e75b42a ID_b94674c76f \n", |
||
| 12281 | "87951 5092c392f ID_5092c392f CT ID_6e75b42a ID_b94674c76f \n", |
||
| 12282 | "86533 3a20374d3 ID_3a20374d3 CT ID_6e75b42a ID_b94674c76f \n", |
||
| 12283 | "\n", |
||
| 12284 | " SeriesInstanceUID StudyID ImagePositionPatient \\\n", |
||
| 12285 | "9661 ID_58b46714eb NaN ['-125', '24.4169536', '204.228683'] \n", |
||
| 12286 | "107285 ID_93d835d9f3 NaN ['-125', '17.5586391', '177.279488'] \n", |
||
| 12287 | "81787 ID_93d835d9f3 NaN ['-125', '17.5586391', '193.305489'] \n", |
||
| 12288 | "87951 ID_93d835d9f3 NaN ['-125', '17.5586391', '187.979561'] \n", |
||
| 12289 | "86533 ID_93d835d9f3 NaN ['-125', '17.5586391', '182.605538'] \n", |
||
| 12290 | "\n", |
||
| 12291 | " ImageOrientationPatient SamplesPerPixel \\\n", |
||
| 12292 | "9661 ['1', '0', '0', '0', '0.990268069', '-0.139173... 1 \n", |
||
| 12293 | "107285 ['1', '0', '0', '0', '0.933580426', '-0.358367... 1 \n", |
||
| 12294 | "81787 ['1', '0', '0', '0', '0.933580426', '-0.358367... 1 \n", |
||
| 12295 | "87951 ['1', '0', '0', '0', '0.933580426', '-0.358367... 1 \n", |
||
| 12296 | "86533 ['1', '0', '0', '0', '0.933580426', '-0.358367... 1 \n", |
||
| 12297 | "\n", |
||
| 12298 | " PhotometricInterpretation Rows Columns PixelSpacing \\\n", |
||
| 12299 | "9661 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 12300 | "107285 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 12301 | "81787 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 12302 | "87951 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 12303 | "86533 MONOCHROME2 512 512 ['0.48828125', '0.48828125'] \n", |
||
| 12304 | "\n", |
||
| 12305 | " BitsAllocated BitsStored HighBit PixelRepresentation \\\n", |
||
| 12306 | "9661 16 12 11 0 \n", |
||
| 12307 | "107285 16 12 11 0 \n", |
||
| 12308 | "81787 16 12 11 0 \n", |
||
| 12309 | "87951 16 12 11 0 \n", |
||
| 12310 | "86533 16 12 11 0 \n", |
||
| 12311 | "\n", |
||
| 12312 | " WindowCenter WindowWidth RescaleIntercept \\\n", |
||
| 12313 | "9661 ['00040', '00040'] ['00080', '00080'] -1024.0 \n", |
||
| 12314 | "107285 ['00040', '00040'] ['00080', '00080'] -1024.0 \n", |
||
| 12315 | "81787 ['00040', '00040'] ['00080', '00080'] -1024.0 \n", |
||
| 12316 | "87951 ['00040', '00040'] ['00080', '00080'] -1024.0 \n", |
||
| 12317 | "86533 ['00040', '00040'] ['00080', '00080'] -1024.0 \n", |
||
| 12318 | "\n", |
||
| 12319 | " RescaleSlope PxlMin PxlMax PxlStd PxlMean test test2 \\\n", |
||
| 12320 | "9661 1.0 1.301333 0.126667 -0.761993 1.166719 False True \n", |
||
| 12321 | "107285 1.0 1.301333 0.098667 -0.807341 1.049002 False True \n", |
||
| 12322 | "81787 1.0 1.301333 0.086667 -0.789830 0.920645 False True \n", |
||
| 12323 | "87951 1.0 1.301333 0.130667 -0.782852 0.978311 False True \n", |
||
| 12324 | "86533 1.0 1.301333 0.124000 -0.788199 1.016346 False True \n", |
||
| 12325 | "\n", |
||
| 12326 | " ImageOrientationPatient_0 ImageOrientationPatient_1 \\\n", |
||
| 12327 | "9661 1.0 0.0 \n", |
||
| 12328 | "107285 1.0 0.0 \n", |
||
| 12329 | "81787 1.0 0.0 \n", |
||
| 12330 | "87951 1.0 0.0 \n", |
||
| 12331 | "86533 1.0 0.0 \n", |
||
| 12332 | "\n", |
||
| 12333 | " ImageOrientationPatient_2 ImageOrientationPatient_3 \\\n", |
||
| 12334 | "9661 0.0 0.0 \n", |
||
| 12335 | "107285 0.0 0.0 \n", |
||
| 12336 | "81787 0.0 0.0 \n", |
||
| 12337 | "87951 0.0 0.0 \n", |
||
| 12338 | "86533 0.0 0.0 \n", |
||
| 12339 | "\n", |
||
| 12340 | " ImageOrientationPatient_4 ImageOrientationPatient_5 \\\n", |
||
| 12341 | "9661 0.990268 -0.139173 \n", |
||
| 12342 | "107285 0.933580 -0.358368 \n", |
||
| 12343 | "81787 0.933580 -0.358368 \n", |
||
| 12344 | "87951 0.933580 -0.358368 \n", |
||
| 12345 | "86533 0.933580 -0.358368 \n", |
||
| 12346 | "\n", |
||
| 12347 | " ImagePositionPatient_0 ImagePositionPatient_1 \\\n", |
||
| 12348 | "9661 -125.0 24.416954 \n", |
||
| 12349 | "107285 -125.0 17.558639 \n", |
||
| 12350 | "81787 -125.0 17.558639 \n", |
||
| 12351 | "87951 -125.0 17.558639 \n", |
||
| 12352 | "86533 -125.0 17.558639 \n", |
||
| 12353 | "\n", |
||
| 12354 | " ImagePositionPatient_2 PixelSpacing_0 PixelSpacing_1 \\\n", |
||
| 12355 | "9661 204.228683 0.488281 0.488281 \n", |
||
| 12356 | "107285 177.279488 0.488281 0.488281 \n", |
||
| 12357 | "81787 193.305489 0.488281 0.488281 \n", |
||
| 12358 | "87951 187.979561 0.488281 0.488281 \n", |
||
| 12359 | "86533 182.605538 0.488281 0.488281 \n", |
||
| 12360 | "\n", |
||
| 12361 | " WindowCenter_0 WindowCenter_1 WindowCenter_1_NAN WindowWidth_0 \\\n", |
||
| 12362 | "9661 40.0 40.0 False 80.0 \n", |
||
| 12363 | "107285 40.0 40.0 False 80.0 \n", |
||
| 12364 | "81787 40.0 40.0 False 80.0 \n", |
||
| 12365 | "87951 40.0 40.0 False 80.0 \n", |
||
| 12366 | "86533 40.0 40.0 False 80.0 \n", |
||
| 12367 | "\n", |
||
| 12368 | " WindowWidth_1 WindowWidth_0_le WindowWidth_1_le WindowCenter_1_le \\\n", |
||
| 12369 | "9661 80.0 0 0 1 \n", |
||
| 12370 | "107285 80.0 0 0 1 \n", |
||
| 12371 | "81787 80.0 0 0 1 \n", |
||
| 12372 | "87951 80.0 0 0 1 \n", |
||
| 12373 | "86533 80.0 0 0 1 \n", |
||
| 12374 | "\n", |
||
| 12375 | " BitType_le ImageOrientationPatient_4_f \\\n", |
||
| 12376 | "9661 1 2.536908 \n", |
||
| 12377 | "107285 1 1.781072 \n", |
||
| 12378 | "81787 1 1.781072 \n", |
||
| 12379 | "87951 1 1.781072 \n", |
||
| 12380 | "86533 1 1.781072 \n", |
||
| 12381 | "\n", |
||
| 12382 | " ImageOrientationPatient_4_enc_0 ... ImageOrientationPatient_5_f \\\n", |
||
| 12383 | "9661 0.0 ... 2.405513 \n", |
||
| 12384 | "107285 0.0 ... 0.944214 \n", |
||
| 12385 | "81787 0.0 ... 0.944214 \n", |
||
| 12386 | "87951 0.0 ... 0.944214 \n", |
||
| 12387 | "86533 0.0 ... 0.944214 \n", |
||
| 12388 | "\n", |
||
| 12389 | " ImageOrientationPatient_5_enc_0 ImageOrientationPatient_5_enc_1 \\\n", |
||
| 12390 | "9661 0.0 False \n", |
||
| 12391 | "107285 0.0 False \n", |
||
| 12392 | "81787 0.0 False \n", |
||
| 12393 | "87951 0.0 False \n", |
||
| 12394 | "86533 0.0 False \n", |
||
| 12395 | "\n", |
||
| 12396 | " ImagePositionPatient_0_f ImagePositionPatient_0_enc_0 \\\n", |
||
| 12397 | "9661 -0.72 1.0 \n", |
||
| 12398 | "107285 -0.72 1.0 \n", |
||
| 12399 | "81787 -0.72 1.0 \n", |
||
| 12400 | "87951 -0.72 1.0 \n", |
||
| 12401 | "86533 -0.72 1.0 \n", |
||
| 12402 | "\n", |
||
| 12403 | " ImagePositionPatient_0_enc_1 ImagePositionPatient_0_f_r1 \\\n", |
||
| 12404 | "9661 0.0 1.0 \n", |
||
| 12405 | "107285 0.0 1.0 \n", |
||
| 12406 | "81787 0.0 1.0 \n", |
||
| 12407 | "87951 0.0 1.0 \n", |
||
| 12408 | "86533 0.0 1.0 \n", |
||
| 12409 | "\n", |
||
| 12410 | " ImagePositionPatient_0_f_r05 ImagePositionPatient_1_f \\\n", |
||
| 12411 | "9661 1.0 1.192226 \n", |
||
| 12412 | "107285 1.0 1.100782 \n", |
||
| 12413 | "81787 1.0 1.100782 \n", |
||
| 12414 | "87951 1.0 1.100782 \n", |
||
| 12415 | "86533 1.0 1.100782 \n", |
||
| 12416 | "\n", |
||
| 12417 | " ImagePositionPatient_1_enc_0 ImagePositionPatient_2_f \\\n", |
||
| 12418 | "9661 1.0 0.053336 \n", |
||
| 12419 | "107285 1.0 0.014727 \n", |
||
| 12420 | "81787 1.0 0.037687 \n", |
||
| 12421 | "87951 1.0 0.030057 \n", |
||
| 12422 | "86533 1.0 0.022358 \n", |
||
| 12423 | "\n", |
||
| 12424 | " ImagePositionPatient_2_f_r05 PixelSpacing_1_f PixelSpacing_1_enc_0 \\\n", |
||
| 12425 | "9661 0.0 -0.48 1.0 \n", |
||
| 12426 | "107285 0.0 -0.48 1.0 \n", |
||
| 12427 | "81787 0.0 -0.48 1.0 \n", |
||
| 12428 | "87951 0.0 -0.48 1.0 \n", |
||
| 12429 | "86533 0.0 -0.48 1.0 \n", |
||
| 12430 | "\n", |
||
| 12431 | " PixelSpacing_1_enc_1 WindowCenter_0_le pos_max pos_min pos_size \\\n", |
||
| 12432 | "9661 False 2 1.099715 0.473493 -0.3 \n", |
||
| 12433 | "107285 False 2 1.051518 0.388022 -0.3 \n", |
||
| 12434 | "81787 False 2 1.051518 0.388022 -0.3 \n", |
||
| 12435 | "87951 False 2 1.051518 0.388022 -0.3 \n", |
||
| 12436 | "86533 False 2 1.051518 0.388022 -0.3 \n", |
||
| 12437 | "\n", |
||
| 12438 | " pos_idx1 pos_idx pos_idx2 pos_inc1 pos_inc2 pos_inc1_grp_le \\\n", |
||
| 12439 | "9661 0.000000 17 -0.203390 1.527710 1.522339 3 \n", |
||
| 12440 | "107285 -0.135593 15 -0.067797 1.687011 1.663025 3 \n", |
||
| 12441 | "81787 0.067797 18 -0.271186 1.662964 1.687012 3 \n", |
||
| 12442 | "87951 0.000000 17 -0.203390 1.687011 1.662964 3 \n", |
||
| 12443 | "86533 -0.067797 16 -0.135593 1.663025 1.687011 3 \n", |
||
| 12444 | "\n", |
||
| 12445 | " pos_inc2_grp_le pos_inc1_r1 pos_inc1_r0001 pos_inc1_enc_0 \\\n", |
||
| 12446 | "9661 3 0.0 0.0 0.0 \n", |
||
| 12447 | "107285 3 0.0 0.0 0.0 \n", |
||
| 12448 | "81787 3 0.0 0.0 0.0 \n", |
||
| 12449 | "87951 3 0.0 0.0 0.0 \n", |
||
| 12450 | "86533 3 0.0 0.0 0.0 \n", |
||
| 12451 | "\n", |
||
| 12452 | " pos_inc2_enc_0 pos_inc1_enc_1 pos_inc2_enc_1 pos_size_le \\\n", |
||
| 12453 | "9661 0.0 0.0 0.0 0 \n", |
||
| 12454 | "107285 0.0 0.0 0.0 0 \n", |
||
| 12455 | "81787 0.0 0.0 0.0 0 \n", |
||
| 12456 | "87951 0.0 0.0 0.0 0 \n", |
||
| 12457 | "86533 0.0 0.0 0.0 0 \n", |
||
| 12458 | "\n", |
||
| 12459 | " pos_range pos_rel pos_zeros pos_inc_rng pos_zeros_le \\\n", |
||
| 12460 | "9661 -0.225189 0.193609 0.0 -0.595692 0 \n", |
||
| 12461 | "107285 0.023307 -0.064219 0.0 -0.581939 0 \n", |
||
| 12462 | "81787 0.023307 0.322242 0.0 -0.581939 0 \n", |
||
| 12463 | "87951 0.023307 0.193809 0.0 -0.581939 0 \n", |
||
| 12464 | "86533 0.023307 0.064217 0.0 -0.581939 0 \n", |
||
| 12465 | "\n", |
||
| 12466 | " PxlMin_grp_le PxlMin_zero any epidural intraparenchymal \\\n", |
||
| 12467 | "9661 2 False NaN NaN NaN \n", |
||
| 12468 | "107285 2 False NaN NaN NaN \n", |
||
| 12469 | "81787 2 False NaN NaN NaN \n", |
||
| 12470 | "87951 2 False NaN NaN NaN \n", |
||
| 12471 | "86533 2 False NaN NaN NaN \n", |
||
| 12472 | "\n", |
||
| 12473 | " intraventricular subarachnoid subdural any_series SeriesPP \\\n", |
||
| 12474 | "9661 NaN NaN NaN False -0.5 \n", |
||
| 12475 | "107285 NaN NaN NaN False -0.5 \n", |
||
| 12476 | "81787 NaN NaN NaN False -0.5 \n", |
||
| 12477 | "87951 NaN NaN NaN False -0.5 \n", |
||
| 12478 | "86533 NaN NaN NaN False -0.5 \n", |
||
| 12479 | "\n", |
||
| 12480 | " yuval_idx pred_any \n", |
||
| 12481 | "9661 49823 0.992338 \n", |
||
| 12482 | "107285 74776 0.992465 \n", |
||
| 12483 | "81787 74779 0.992568 \n", |
||
| 12484 | "87951 74778 0.992820 \n", |
||
| 12485 | "86533 74777 0.992826 \n", |
||
| 12486 | "\n", |
||
| 12487 | "[5 rows x 101 columns]" |
||
| 12488 | ] |
||
| 12489 | }, |
||
| 12490 | "execution_count": 68, |
||
| 12491 | "metadata": {}, |
||
| 12492 | "output_type": "execute_result" |
||
| 12493 | } |
||
| 12494 | ], |
||
| 12495 | "source": [ |
||
| 12496 | "test_md['pred_any'] = predictions[:,5]\n", |
||
| 12497 | "test_md.sort_values('pred_any').tail()" |
||
| 12498 | ] |
||
| 12499 | }, |
||
| 12500 | { |
||
| 12501 | "cell_type": "code", |
||
| 12502 | "execution_count": null, |
||
| 12503 | "metadata": {}, |
||
| 12504 | "outputs": [], |
||
| 12505 | "source": [] |
||
| 12506 | }, |
||
| 12507 | { |
||
| 12508 | "cell_type": "code", |
||
| 12509 | "execution_count": null, |
||
| 12510 | "metadata": {}, |
||
| 12511 | "outputs": [], |
||
| 12512 | "source": [] |
||
| 12513 | }, |
||
| 12514 | { |
||
| 12515 | "cell_type": "code", |
||
| 12516 | "execution_count": null, |
||
| 12517 | "metadata": {}, |
||
| 12518 | "outputs": [], |
||
| 12519 | "source": [] |
||
| 12520 | }, |
||
| 12521 | { |
||
| 12522 | "cell_type": "code", |
||
| 12523 | "execution_count": null, |
||
| 12524 | "metadata": {}, |
||
| 12525 | "outputs": [], |
||
| 12526 | "source": [] |
||
| 12527 | }, |
||
| 12528 | { |
||
| 12529 | "cell_type": "code", |
||
| 12530 | "execution_count": null, |
||
| 12531 | "metadata": {}, |
||
| 12532 | "outputs": [], |
||
| 12533 | "source": [] |
||
| 12534 | }, |
||
| 12535 | { |
||
| 12536 | "cell_type": "code", |
||
| 12537 | "execution_count": null, |
||
| 12538 | "metadata": {}, |
||
| 12539 | "outputs": [], |
||
| 12540 | "source": [] |
||
| 12541 | }, |
||
| 12542 | { |
||
| 12543 | "cell_type": "code", |
||
| 12544 | "execution_count": 66, |
||
| 12545 | "metadata": {}, |
||
| 12546 | "outputs": [ |
||
| 12547 | { |
||
| 12548 | "data": { |
||
| 12549 | "text/plain": [ |
||
| 12550 | "(10, 121232, 6)" |
||
| 12551 | ] |
||
| 12552 | }, |
||
| 12553 | "execution_count": 66, |
||
| 12554 | "metadata": {}, |
||
| 12555 | "output_type": "execute_result" |
||
| 12556 | } |
||
| 12557 | ], |
||
| 12558 | "source": [ |
||
| 12559 | "preds.shape" |
||
| 12560 | ] |
||
| 12561 | }, |
||
| 12562 | { |
||
| 12563 | "cell_type": "code", |
||
| 12564 | "execution_count": 69, |
||
| 12565 | "metadata": {}, |
||
| 12566 | "outputs": [], |
||
| 12567 | "source": [ |
||
| 12568 | "test_md['pred_any'] = preds[9,:,1]" |
||
| 12569 | ] |
||
| 12570 | }, |
||
| 12571 | { |
||
| 12572 | "cell_type": "code", |
||
| 12573 | "execution_count": 70, |
||
| 12574 | "metadata": { |
||
| 12575 | "scrolled": true |
||
| 12576 | }, |
||
| 12577 | "outputs": [ |
||
| 12578 | { |
||
| 12579 | "data": { |
||
| 12580 | "text/plain": [ |
||
| 12581 | "[<matplotlib.lines.Line2D at 0x7f8297793f50>]" |
||
| 12582 | ] |
||
| 12583 | }, |
||
| 12584 | "execution_count": 70, |
||
| 12585 | "metadata": {}, |
||
| 12586 | "output_type": "execute_result" |
||
| 12587 | }, |
||
| 12588 | { |
||
| 12589 | "data": { |
||
| 12590 | "image/png": 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\n", |
||
| 12591 | "text/plain": [ |
||
| 12592 | "<Figure size 432x288 with 1 Axes>" |
||
| 12593 | ] |
||
| 12594 | }, |
||
| 12595 | "metadata": { |
||
| 12596 | "needs_background": "light" |
||
| 12597 | }, |
||
| 12598 | "output_type": "display_data" |
||
| 12599 | } |
||
| 12600 | ], |
||
| 12601 | "source": [ |
||
| 12602 | "plt.plot(test_md[['pos_idx','pred_any']].groupby('pos_idx').mean())\n", |
||
| 12603 | "plt.plot([0,60],[0,0])" |
||
| 12604 | ] |
||
| 12605 | }, |
||
| 12606 | { |
||
| 12607 | "cell_type": "code", |
||
| 12608 | "execution_count": 71, |
||
| 12609 | "metadata": { |
||
| 12610 | "scrolled": true |
||
| 12611 | }, |
||
| 12612 | "outputs": [ |
||
| 12613 | { |
||
| 12614 | "data": { |
||
| 12615 | "text/plain": [ |
||
| 12616 | "[<matplotlib.lines.Line2D at 0x7f8255ef9250>]" |
||
| 12617 | ] |
||
| 12618 | }, |
||
| 12619 | "execution_count": 71, |
||
| 12620 | "metadata": {}, |
||
| 12621 | "output_type": "execute_result" |
||
| 12622 | }, |
||
| 12623 | { |
||
| 12624 | "data": { |
||
| 12625 | "image/png": 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\n", |
||
| 12626 | "text/plain": [ |
||
| 12627 | "<Figure size 432x288 with 1 Axes>" |
||
| 12628 | ] |
||
| 12629 | }, |
||
| 12630 | "metadata": { |
||
| 12631 | "needs_background": "light" |
||
| 12632 | }, |
||
| 12633 | "output_type": "display_data" |
||
| 12634 | } |
||
| 12635 | ], |
||
| 12636 | "source": [ |
||
| 12637 | "plt.plot(train_md[['pos_idx',all_ich[0]]].groupby('pos_idx').mean())\n", |
||
| 12638 | "plt.plot([0,60],[0,0])" |
||
| 12639 | ] |
||
| 12640 | }, |
||
| 12641 | { |
||
| 12642 | "cell_type": "code", |
||
| 12643 | "execution_count": 72, |
||
| 12644 | "metadata": {}, |
||
| 12645 | "outputs": [], |
||
| 12646 | "source": [ |
||
| 12647 | "test_md['pred_any'] = predictions[:,1]" |
||
| 12648 | ] |
||
| 12649 | }, |
||
| 12650 | { |
||
| 12651 | "cell_type": "code", |
||
| 12652 | "execution_count": 73, |
||
| 12653 | "metadata": { |
||
| 12654 | "scrolled": true |
||
| 12655 | }, |
||
| 12656 | "outputs": [ |
||
| 12657 | { |
||
| 12658 | "data": { |
||
| 12659 | "text/plain": [ |
||
| 12660 | "[<matplotlib.lines.Line2D at 0x7f8255e69ad0>]" |
||
| 12661 | ] |
||
| 12662 | }, |
||
| 12663 | "execution_count": 73, |
||
| 12664 | "metadata": {}, |
||
| 12665 | "output_type": "execute_result" |
||
| 12666 | }, |
||
| 12667 | { |
||
| 12668 | "data": { |
||
| 12669 | "image/png": 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\n", |
||
| 12670 | "text/plain": [ |
||
| 12671 | "<Figure size 432x288 with 1 Axes>" |
||
| 12672 | ] |
||
| 12673 | }, |
||
| 12674 | "metadata": { |
||
| 12675 | "needs_background": "light" |
||
| 12676 | }, |
||
| 12677 | "output_type": "display_data" |
||
| 12678 | } |
||
| 12679 | ], |
||
| 12680 | "source": [ |
||
| 12681 | "plt.plot(test_md[['pos_idx','pred_any']].groupby('pos_idx').mean())\n", |
||
| 12682 | "plt.plot([0,60],[0,0])" |
||
| 12683 | ] |
||
| 12684 | }, |
||
| 12685 | { |
||
| 12686 | "cell_type": "code", |
||
| 12687 | "execution_count": 74, |
||
| 12688 | "metadata": {}, |
||
| 12689 | "outputs": [ |
||
| 12690 | { |
||
| 12691 | "name": "stdout", |
||
| 12692 | "output_type": "stream", |
||
| 12693 | "text": [ |
||
| 12694 | "0 [9.30e-05 1.15e-04 1.49e-04 1.64e-03 9.96e-01 9.98e-01 9.99e-01]\n", |
||
| 12695 | "1 [6.76e-06 8.61e-06 1.12e-05 7.63e-05 5.17e-02 3.93e-01 8.82e-01]\n", |
||
| 12696 | "2 [2.12e-05 2.46e-05 3.09e-05 2.84e-04 9.83e-01 9.93e-01 9.95e-01]\n", |
||
| 12697 | "3 [1.40e-05 1.65e-05 1.97e-05 8.68e-05 9.80e-01 9.93e-01 9.95e-01]\n", |
||
| 12698 | "4 [2.81e-05 3.21e-05 4.08e-05 4.00e-04 9.59e-01 9.90e-01 9.92e-01]\n", |
||
| 12699 | "5 [4.51e-05 5.60e-05 7.04e-05 8.55e-04 9.71e-01 9.89e-01 9.91e-01]\n" |
||
| 12700 | ] |
||
| 12701 | } |
||
| 12702 | ], |
||
| 12703 | "source": [ |
||
| 12704 | "# weighted models + weighted ensembling\n", |
||
| 12705 | "#0 [2.14e-04 2.50e-04 3.15e-04 2.15e-03 9.88e-01 9.93e-01 9.94e-01]\n", |
||
| 12706 | "#1 [4.46e-06 5.32e-06 6.88e-06 8.58e-05 1.34e-01 6.16e-01 9.24e-01]\n", |
||
| 12707 | "#2 [4.88e-05 5.54e-05 6.88e-05 3.27e-04 9.65e-01 9.86e-01 9.90e-01]\n", |
||
| 12708 | "#3 [1.78e-05 2.00e-05 2.42e-05 1.04e-04 9.52e-01 9.77e-01 9.81e-01]\n", |
||
| 12709 | "#4 [6.56e-05 7.67e-05 9.50e-05 4.71e-04 9.41e-01 9.85e-01 9.89e-01]\n", |
||
| 12710 | "#5 [9.93e-05 1.21e-04 1.53e-04 9.91e-04 9.42e-01 9.86e-01 9.92e-01]\n", |
||
| 12711 | "\n", |
||
| 12712 | "# weighted models + non-weighted ensembling\n", |
||
| 12713 | "#0 [9.25e-05 1.11e-04 1.41e-04 1.60e-03 9.93e-01 9.97e-01 9.99e-01]\n", |
||
| 12714 | "#1 [8.16e-06 9.69e-06 1.24e-05 9.28e-05 1.31e-01 5.91e-01 8.94e-01]\n", |
||
| 12715 | "#2 [2.38e-05 2.66e-05 3.46e-05 2.46e-04 9.73e-01 9.91e-01 9.94e-01]\n", |
||
| 12716 | "#3 [1.25e-05 1.40e-05 1.71e-05 8.06e-05 9.66e-01 9.90e-01 9.94e-01]\n", |
||
| 12717 | "#4 [3.27e-05 3.80e-05 4.71e-05 3.55e-04 9.51e-01 9.91e-01 9.94e-01]\n", |
||
| 12718 | "#5 [4.51e-05 5.74e-05 7.40e-05 7.90e-04 9.46e-01 9.89e-01 9.94e-01]\n", |
||
| 12719 | "\n", |
||
| 12720 | "# non-weighted models + non-weighted ensembling\n", |
||
| 12721 | "#0 [1.10e-04 1.24e-04 1.55e-04 1.27e-03 9.93e-01 9.97e-01 9.98e-01]\n", |
||
| 12722 | "#1 [8.61e-06 9.98e-06 1.23e-05 8.77e-05 1.36e-01 5.73e-01 8.74e-01]\n", |
||
| 12723 | "#2 [2.34e-05 2.66e-05 3.41e-05 2.12e-04 9.73e-01 9.91e-01 9.95e-01]\n", |
||
| 12724 | "#3 [1.08e-05 1.25e-05 1.50e-05 6.10e-05 9.67e-01 9.92e-01 9.96e-01]\n", |
||
| 12725 | "#4 [3.18e-05 3.68e-05 4.48e-05 3.03e-04 9.51e-01 9.91e-01 9.94e-01]\n", |
||
| 12726 | "#5 [4.72e-05 5.48e-05 6.86e-05 6.83e-04 9.41e-01 9.88e-01 9.92e-01]\n", |
||
| 12727 | "\n", |
||
| 12728 | "# STAGE2 non-weighted models + non-weighted ensembling\n", |
||
| 12729 | "#0 [9.30e-05 1.15e-04 1.49e-04 1.64e-03 9.96e-01 9.98e-01 9.99e-01]\n", |
||
| 12730 | "#1 [6.76e-06 8.61e-06 1.12e-05 7.63e-05 5.17e-02 3.93e-01 8.82e-01]\n", |
||
| 12731 | "#2 [2.12e-05 2.46e-05 3.09e-05 2.84e-04 9.83e-01 9.93e-01 9.95e-01]\n", |
||
| 12732 | "#3 [1.40e-05 1.65e-05 1.97e-05 8.68e-05 9.80e-01 9.93e-01 9.95e-01]\n", |
||
| 12733 | "#4 [2.81e-05 3.21e-05 4.08e-05 4.00e-04 9.59e-01 9.90e-01 9.92e-01]\n", |
||
| 12734 | "#5 [4.51e-05 5.60e-05 7.04e-05 8.55e-04 9.71e-01 9.89e-01 9.91e-01]\n", |
||
| 12735 | "\n", |
||
| 12736 | "np.set_printoptions(precision=2)\n", |
||
| 12737 | "for k in range(6):\n", |
||
| 12738 | " print(k,np.quantile(predictions[:,k],[0.0001,0.001,0.01,0.5,0.99,0.999,0.9999]))" |
||
| 12739 | ] |
||
| 12740 | }, |
||
| 12741 | { |
||
| 12742 | "cell_type": "code", |
||
| 12743 | "execution_count": 75, |
||
| 12744 | "metadata": { |
||
| 12745 | "scrolled": true |
||
| 12746 | }, |
||
| 12747 | "outputs": [ |
||
| 12748 | { |
||
| 12749 | "data": { |
||
| 12750 | "text/plain": [ |
||
| 12751 | "array([0.1376, 0.0029, 0.0464, 0.0378, 0.0449, 0.0591])" |
||
| 12752 | ] |
||
| 12753 | }, |
||
| 12754 | "execution_count": 75, |
||
| 12755 | "metadata": {}, |
||
| 12756 | "output_type": "execute_result" |
||
| 12757 | } |
||
| 12758 | ], |
||
| 12759 | "source": [ |
||
| 12760 | "# weighted models + weighted ensembling\n", |
||
| 12761 | "#array([0.1361, 0.0056, 0.0429, 0.0295, 0.0468, 0.0569])\n", |
||
| 12762 | "\n", |
||
| 12763 | "# weighted models + non-weighted ensembling\n", |
||
| 12764 | "#array([0.1335, 0.0055, 0.0423, 0.0298, 0.0466, 0.0556])\n", |
||
| 12765 | "\n", |
||
| 12766 | "# non-weighted models + non-weighted ensembling\n", |
||
| 12767 | "#array([0.1313, 0.0057, 0.0421, 0.0297, 0.0464, 0.0544])\n", |
||
| 12768 | "\n", |
||
| 12769 | "# STAGE2 non-weighted models + non-weighted ensembling\n", |
||
| 12770 | "#array([0.1376, 0.0029, 0.0464, 0.0378, 0.0449, 0.0591])\n", |
||
| 12771 | "\n", |
||
| 12772 | "# STAGE2 weighted models + weighted ensembling\n", |
||
| 12773 | "#array([0.1373, 0.0028, 0.0464, 0.0379, 0.045 , 0.0589])\n", |
||
| 12774 | "\n", |
||
| 12775 | "np.set_printoptions(precision=4)\n", |
||
| 12776 | "predictions.mean(0)" |
||
| 12777 | ] |
||
| 12778 | }, |
||
| 12779 | { |
||
| 12780 | "cell_type": "code", |
||
| 12781 | "execution_count": null, |
||
| 12782 | "metadata": {}, |
||
| 12783 | "outputs": [], |
||
| 12784 | "source": [] |
||
| 12785 | }, |
||
| 12786 | { |
||
| 12787 | "cell_type": "code", |
||
| 12788 | "execution_count": 76, |
||
| 12789 | "metadata": { |
||
| 12790 | "scrolled": false |
||
| 12791 | }, |
||
| 12792 | "outputs": [ |
||
| 12793 | { |
||
| 12794 | "data": { |
||
| 12795 | "text/plain": [ |
||
| 12796 | "0.13762015847552184" |
||
| 12797 | ] |
||
| 12798 | }, |
||
| 12799 | "execution_count": 76, |
||
| 12800 | "metadata": {}, |
||
| 12801 | "output_type": "execute_result" |
||
| 12802 | } |
||
| 12803 | ], |
||
| 12804 | "source": [ |
||
| 12805 | "sub.loc[range(0,len(sub),6), 'Label'].mean()" |
||
| 12806 | ] |
||
| 12807 | }, |
||
| 12808 | { |
||
| 12809 | "cell_type": "code", |
||
| 12810 | "execution_count": 77, |
||
| 12811 | "metadata": {}, |
||
| 12812 | "outputs": [], |
||
| 12813 | "source": [ |
||
| 12814 | "sub = sub.sort_values('ID').reset_index(drop=True)\n", |
||
| 12815 | "best_sub = pd.read_csv(PATH/'submission_stage2_3.csv').sort_values('ID').reset_index(drop=True)" |
||
| 12816 | ] |
||
| 12817 | }, |
||
| 12818 | { |
||
| 12819 | "cell_type": "code", |
||
| 12820 | "execution_count": 78, |
||
| 12821 | "metadata": { |
||
| 12822 | "scrolled": true |
||
| 12823 | }, |
||
| 12824 | "outputs": [ |
||
| 12825 | { |
||
| 12826 | "data": { |
||
| 12827 | "text/plain": [ |
||
| 12828 | "0.13749181676694883" |
||
| 12829 | ] |
||
| 12830 | }, |
||
| 12831 | "execution_count": 78, |
||
| 12832 | "metadata": {}, |
||
| 12833 | "output_type": "execute_result" |
||
| 12834 | } |
||
| 12835 | ], |
||
| 12836 | "source": [ |
||
| 12837 | "best_sub.loc[range(0,len(sub),6), 'Label'].mean()" |
||
| 12838 | ] |
||
| 12839 | }, |
||
| 12840 | { |
||
| 12841 | "cell_type": "code", |
||
| 12842 | "execution_count": null, |
||
| 12843 | "metadata": {}, |
||
| 12844 | "outputs": [], |
||
| 12845 | "source": [] |
||
| 12846 | }, |
||
| 12847 | { |
||
| 12848 | "cell_type": "code", |
||
| 12849 | "execution_count": 79, |
||
| 12850 | "metadata": { |
||
| 12851 | "scrolled": true |
||
| 12852 | }, |
||
| 12853 | "outputs": [ |
||
| 12854 | { |
||
| 12855 | "data": { |
||
| 12856 | "text/plain": [ |
||
| 12857 | "SpearmanrResult(correlation=0.985190415749868, pvalue=0.0)" |
||
| 12858 | ] |
||
| 12859 | }, |
||
| 12860 | "execution_count": 79, |
||
| 12861 | "metadata": {}, |
||
| 12862 | "output_type": "execute_result" |
||
| 12863 | } |
||
| 12864 | ], |
||
| 12865 | "source": [ |
||
| 12866 | "sp.stats.spearmanr(sub.loc[range(0,len(sub),6), 'Label'], \n", |
||
| 12867 | " best_sub.loc[range(0,len(sub),6), 'Label'])" |
||
| 12868 | ] |
||
| 12869 | }, |
||
| 12870 | { |
||
| 12871 | "cell_type": "code", |
||
| 12872 | "execution_count": 95, |
||
| 12873 | "metadata": { |
||
| 12874 | "scrolled": true |
||
| 12875 | }, |
||
| 12876 | "outputs": [ |
||
| 12877 | { |
||
| 12878 | "data": { |
||
| 12879 | "text/plain": [ |
||
| 12880 | "SpearmanrResult(correlation=0.985190415749868, pvalue=0.0)" |
||
| 12881 | ] |
||
| 12882 | }, |
||
| 12883 | "execution_count": 95, |
||
| 12884 | "metadata": {}, |
||
| 12885 | "output_type": "execute_result" |
||
| 12886 | } |
||
| 12887 | ], |
||
| 12888 | "source": [ |
||
| 12889 | "sp.stats.spearmanr(sub.loc[range(0,len(sub),6), 'Label'], \n", |
||
| 12890 | " best_sub.loc[range(0,len(sub),6), 'Label'])" |
||
| 12891 | ] |
||
| 12892 | }, |
||
| 12893 | { |
||
| 12894 | "cell_type": "code", |
||
| 12895 | "execution_count": 78, |
||
| 12896 | "metadata": { |
||
| 12897 | "scrolled": true |
||
| 12898 | }, |
||
| 12899 | "outputs": [ |
||
| 12900 | { |
||
| 12901 | "data": { |
||
| 12902 | "text/plain": [ |
||
| 12903 | "0.9992765979750622" |
||
| 12904 | ] |
||
| 12905 | }, |
||
| 12906 | "execution_count": 78, |
||
| 12907 | "metadata": {}, |
||
| 12908 | "output_type": "execute_result" |
||
| 12909 | } |
||
| 12910 | ], |
||
| 12911 | "source": [ |
||
| 12912 | "np.corrcoef(sub.sort_values('ID').reset_index(drop=True).loc[range(0,len(sub),6), 'Label'], \n", |
||
| 12913 | " best_sub.sort_values('ID').reset_index(drop=True).loc[range(0,len(sub),6), 'Label'])[0,1]" |
||
| 12914 | ] |
||
| 12915 | }, |
||
| 12916 | { |
||
| 12917 | "cell_type": "code", |
||
| 12918 | "execution_count": 96, |
||
| 12919 | "metadata": {}, |
||
| 12920 | "outputs": [ |
||
| 12921 | { |
||
| 12922 | "data": { |
||
| 12923 | "text/plain": [ |
||
| 12924 | "0.999294961658725" |
||
| 12925 | ] |
||
| 12926 | }, |
||
| 12927 | "execution_count": 96, |
||
| 12928 | "metadata": {}, |
||
| 12929 | "output_type": "execute_result" |
||
| 12930 | } |
||
| 12931 | ], |
||
| 12932 | "source": [ |
||
| 12933 | "np.corrcoef(sub.sort_values('ID').reset_index(drop=True).loc[range(0,len(sub),6), 'Label'], \n", |
||
| 12934 | " best_sub.sort_values('ID').reset_index(drop=True).loc[range(0,len(sub),6), 'Label'])[0,1]" |
||
| 12935 | ] |
||
| 12936 | }, |
||
| 12937 | { |
||
| 12938 | "cell_type": "markdown", |
||
| 12939 | "metadata": {}, |
||
| 12940 | "source": [ |
||
| 12941 | "## Submission" |
||
| 12942 | ] |
||
| 12943 | }, |
||
| 12944 | { |
||
| 12945 | "cell_type": "code", |
||
| 12946 | "execution_count": 80, |
||
| 12947 | "metadata": {}, |
||
| 12948 | "outputs": [ |
||
| 12949 | { |
||
| 12950 | "name": "stdout", |
||
| 12951 | "output_type": "stream", |
||
| 12952 | "text": [ |
||
| 12953 | "100%|██████████████████████████████████████| 32.1M/32.1M [00:02<00:00, 16.2MB/s]\n", |
||
| 12954 | "Successfully submitted to RSNA Intracranial Hemorrhage Detection" |
||
| 12955 | ] |
||
| 12956 | } |
||
| 12957 | ], |
||
| 12958 | "source": [ |
||
| 12959 | "!~/.local/bin/kaggle competitions submit rsna-intracranial-hemorrhage-detection -f ~/Hemorrhage/sub.csv -m \"GCP, safe final, take 2\"" |
||
| 12960 | ] |
||
| 12961 | }, |
||
| 12962 | { |
||
| 12963 | "cell_type": "code", |
||
| 12964 | "execution_count": null, |
||
| 12965 | "metadata": {}, |
||
| 12966 | "outputs": [], |
||
| 12967 | "source": [ |
||
| 12968 | "!kaggle competitions submit rsna-intracranial-hemorrhage-detection -f C:/StudioProjects/Hemorrhage/sub.csv -m \"GCP, d161+d169+d201+s101+yd161, 8TTA, ensemble, bounds\"" |
||
| 12969 | ] |
||
| 12970 | }, |
||
| 12971 | { |
||
| 12972 | "cell_type": "code", |
||
| 12973 | "execution_count": null, |
||
| 12974 | "metadata": {}, |
||
| 12975 | "outputs": [], |
||
| 12976 | "source": [] |
||
| 12977 | } |
||
| 12978 | ], |
||
| 12979 | "metadata": { |
||
| 12980 | "kernelspec": { |
||
| 12981 | "display_name": "Python 3", |
||
| 12982 | "language": "python", |
||
| 12983 | "name": "python3" |
||
| 12984 | }, |
||
| 12985 | "language_info": { |
||
| 12986 | "codemirror_mode": { |
||
| 12987 | "name": "ipython", |
||
| 12988 | "version": 3 |
||
| 12989 | }, |
||
| 12990 | "file_extension": ".py", |
||
| 12991 | "mimetype": "text/x-python", |
||
| 12992 | "name": "python", |
||
| 12993 | "nbconvert_exporter": "python", |
||
| 12994 | "pygments_lexer": "ipython3", |
||
| 12995 | "version": "3.7.4" |
||
| 12996 | } |
||
| 12997 | }, |
||
| 12998 | "nbformat": 4, |
||
| 12999 | "nbformat_minor": 2 |
||
| 13000 | } |