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b/SMOTE-NC/R2-XGB-SMOTENC.ipynb |
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"cells": [ |
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"cell_type": "code", |
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"execution_count": 1, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/html": [ |
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"<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>" |
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], |
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"<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>" |
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] |
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}, |
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"metadata": {}, |
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"output_type": "display_data" |
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} |
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], |
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"source": [ |
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"# Import libraries\n", |
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"import numpy as np\n", |
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"import pandas as pd\n", |
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"import matplotlib.pyplot as plt\n", |
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"import getpass\n", |
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"import pdvega\n", |
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"import plotly.graph_objs as go\n", |
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"\n", |
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"from plotly.offline import iplot, init_notebook_mode\n", |
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"import plotly.io as pio\n", |
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"from plotly.graph_objs import *\n", |
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"\n", |
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"# for configuring connection \n", |
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"from configobj import ConfigObj\n", |
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"import os\n", |
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"\n", |
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"%matplotlib inline\n", |
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"\n", |
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"\n", |
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"import os\n", |
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"\n", |
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"\n", |
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"from sklearn import linear_model\n", |
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"from sklearn import metrics\n", |
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"from sklearn.model_selection import train_test_split\n", |
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"\n", |
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"#configure the notebook for use in offline mode\n", |
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"init_notebook_mode(connected=True)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 2, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/html": [ |
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"<div>\n", |
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"<style scoped>\n", |
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" .dataframe tbody tr th:only-of-type {\n", |
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" vertical-align: middle;\n", |
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" }\n", |
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"\n", |
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" .dataframe tbody tr th {\n", |
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" vertical-align: top;\n", |
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" }\n", |
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"\n", |
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" .dataframe thead th {\n", |
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" text-align: right;\n", |
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" }\n", |
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"</style>\n", |
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"<table border=\"1\" class=\"dataframe\">\n", |
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" <thead>\n", |
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" <tr style=\"text-align: right;\">\n", |
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" <th></th>\n", |
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" <th>Unnamed: 0</th>\n", |
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" <th>hospitalid</th>\n", |
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" <th>sodium</th>\n", |
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" <th>electivesurgery</th>\n", |
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" <th>vent</th>\n", |
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" <th>dialysis</th>\n", |
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" <th>gcs</th>\n", |
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" <th>urine</th>\n", |
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" <th>wbc</th>\n", |
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" <th>temperature</th>\n", |
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" <th>...</th>\n", |
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" <th>m11_True</th>\n", |
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" <th>m12_True</th>\n", |
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" <th>m13_True</th>\n", |
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" <th>m14_True</th>\n", |
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" <th>m15_True</th>\n", |
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" <th>m16_True</th>\n", |
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" <th>m17_True</th>\n", |
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" <th>m18_True</th>\n", |
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" <th>m19_True</th>\n", |
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" <th>m20_True</th>\n", |
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" </tr>\n", |
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" </thead>\n", |
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" <tbody>\n", |
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" <tr>\n", |
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" <th>0</th>\n", |
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" <td>0</td>\n", |
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" <td>59.0</td>\n", |
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" <td>139.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>15.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>14.7</td>\n", |
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" <td>36.1</td>\n", |
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" <td>...</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <th>1</th>\n", |
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" <td>1</td>\n", |
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" <td>73.0</td>\n", |
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" <td>134.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>13.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>14.1</td>\n", |
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" <td>39.3</td>\n", |
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" <td>...</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <th>2</th>\n", |
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" <td>2</td>\n", |
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" <td>73.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>1.0</td>\n", |
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" <td>1.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>15.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>8.0</td>\n", |
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" <td>34.8</td>\n", |
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" <td>...</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <th>3</th>\n", |
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" <td>3</td>\n", |
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" <td>63.0</td>\n", |
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" <td>137.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>0.0</td>\n", |
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" <td>15.0</td>\n", |
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" <td>-1.0</td>\n", |
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" <td>10.9</td>\n", |
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" <td>36.6</td>\n", |
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" <td>...</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>1</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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|
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" </tr>\n", |
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" <tr>\n", |
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" <th>4</th>\n", |
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" <td>4</td>\n", |
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" <td>63.0</td>\n", |
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202 |
" <td>135.0</td>\n", |
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203 |
" <td>-1.0</td>\n", |
|
|
204 |
" <td>0.0</td>\n", |
|
|
205 |
" <td>0.0</td>\n", |
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206 |
" <td>15.0</td>\n", |
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|
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" <td>-1.0</td>\n", |
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" <td>5.9</td>\n", |
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" <td>35.0</td>\n", |
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" <td>...</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" <td>1</td>\n", |
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" <td>0</td>\n", |
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" <td>0</td>\n", |
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" </tr>\n", |
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" </tbody>\n", |
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"</table>\n", |
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"<p>5 rows × 85 columns</p>\n", |
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"</div>" |
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], |
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"text/plain": [ |
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" Unnamed: 0 hospitalid sodium electivesurgery vent dialysis gcs \\\n", |
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"0 0 59.0 139.0 -1.0 0.0 0.0 15.0 \n", |
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"1 1 73.0 134.0 -1.0 0.0 0.0 13.0 \n", |
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"2 2 73.0 -1.0 1.0 1.0 0.0 15.0 \n", |
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"3 3 63.0 137.0 -1.0 0.0 0.0 15.0 \n", |
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"4 4 63.0 135.0 -1.0 0.0 0.0 15.0 \n", |
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"\n", |
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" urine wbc temperature ... m11_True m12_True m13_True m14_True \\\n", |
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"0 -1.0 14.7 36.1 ... 1 0 0 1 \n", |
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"1 -1.0 14.1 39.3 ... 1 0 0 1 \n", |
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"2 -1.0 8.0 34.8 ... 0 0 1 0 \n", |
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"3 -1.0 10.9 36.6 ... 1 0 1 1 \n", |
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"4 -1.0 5.9 35.0 ... 0 0 1 0 \n", |
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"\n", |
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" m15_True m16_True m17_True m18_True m19_True m20_True \n", |
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"0 1 0 0 0 1 0 \n", |
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"1 1 0 0 0 1 0 \n", |
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"2 0 1 0 1 0 0 \n", |
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"3 1 0 0 1 1 0 \n", |
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"4 0 0 0 1 0 0 \n", |
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"\n", |
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"[5 rows x 85 columns]" |
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] |
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}, |
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"execution_count": 2, |
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"metadata": {}, |
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"output_type": "execute_result" |
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} |
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], |
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"source": [ |
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"df= pd.read_csv(\"analysis.csv\")\n", |
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"df.head()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 4, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/plain": [ |
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"(95148, 85)" |
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] |
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}, |
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"execution_count": 4, |
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"metadata": {}, |
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"output_type": "execute_result" |
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} |
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], |
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"source": [ |
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"df.shape" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 5, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"del df['hospitalid']\n", |
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"\n", |
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"df = df.drop(df.columns[[0]], axis=1)\n", |
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"df = df.drop(df.columns[[63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82]], axis=1)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 6, |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"data": { |
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"text/plain": [ |
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"sodium 18244\n", |
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"electivesurgery 74997\n", |
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"vent 0\n", |
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"dialysis 0\n", |
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"gcs 1728\n", |
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"urine 45829\n", |
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"wbc 22141\n", |
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"temperature 4139\n", |
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"respiratoryrate 582\n", |
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"heartrate 188\n", |
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"meanbp 263\n", |
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"creatinine 18332\n", |
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"ph 73474\n", |
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"hematocrit 20021\n", |
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"albumin 58143\n", |
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"pao2 73474\n", |
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"pco2 73474\n", |
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"bun 18774\n", |
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"glucose 10909\n", |
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"bilirubin 60797\n", |
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"fio2 73474\n", |
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"age 3356\n", |
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"thrombolytics 0\n", |
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"aids 0\n", |
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"hepaticfailure 0\n", |
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"lymphoma 0\n", |
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"metastaticcancer 0\n", |
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"leukemia 0\n", |
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"immunosuppression 0\n", |
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"cirrhosis 0\n", |
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" ... \n", |
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"admitsource_1.0 0\n", |
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"admitsource_2.0 0\n", |
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"admitsource_3.0 0\n", |
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"admitsource_4.0 0\n", |
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"admitsource_5.0 0\n", |
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|
338 |
"admitsource_6.0 0\n", |
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|
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"admitsource_7.0 0\n", |
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|
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"admitsource_8.0 0\n", |
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|
341 |
"diaggroup_ARF 0\n", |
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|
342 |
"diaggroup_Asthma-Emphys 0\n", |
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|
343 |
"diaggroup_CABG 0\n", |
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|
344 |
"diaggroup_CHF 0\n", |
|
|
345 |
"diaggroup_CVA 0\n", |
|
|
346 |
"diaggroup_CVOther 0\n", |
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|
347 |
"diaggroup_CardiacArrest 0\n", |
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|
348 |
"diaggroup_ChestPainUnknown 0\n", |
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|
349 |
"diaggroup_Coma 0\n", |
|
|
350 |
"diaggroup_DKA 0\n", |
|
|
351 |
"diaggroup_GIBleed 0\n", |
|
|
352 |
"diaggroup_GIObstruction 0\n", |
|
|
353 |
"diaggroup_Neuro 0\n", |
|
|
354 |
"diaggroup_Other 0\n", |
|
|
355 |
"diaggroup_Overdose 0\n", |
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|
356 |
"diaggroup_PNA 0\n", |
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|
357 |
"diaggroup_RespMedOther 0\n", |
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|
358 |
"diaggroup_Sepsis 0\n", |
|
|
359 |
"diaggroup_Trauma 0\n", |
|
|
360 |
"diaggroup_ValveDz 0\n", |
|
|
361 |
"gender_Male 0\n", |
|
|
362 |
"gender_Other 0\n", |
|
|
363 |
"Length: 63, dtype: int64" |
|
|
364 |
] |
|
|
365 |
}, |
|
|
366 |
"execution_count": 6, |
|
|
367 |
"metadata": {}, |
|
|
368 |
"output_type": "execute_result" |
|
|
369 |
} |
|
|
370 |
], |
|
|
371 |
"source": [ |
|
|
372 |
"missing_values_count = df.isnull().sum()\n", |
|
|
373 |
"#df.replace('-1.0', np.nan)\n", |
|
|
374 |
"df = df.replace({-1.0:np.nan, -1.0:np.nan})\n", |
|
|
375 |
"df.head()\n", |
|
|
376 |
"missing_values_count = df.isnull().sum()\n", |
|
|
377 |
"missing_values_count" |
|
|
378 |
] |
|
|
379 |
}, |
|
|
380 |
{ |
|
|
381 |
"cell_type": "markdown", |
|
|
382 |
"metadata": {}, |
|
|
383 |
"source": [ |
|
|
384 |
"**We moved all the pre-processing including splitting>imputation>Standardization to the CV iterations**" |
|
|
385 |
] |
|
|
386 |
}, |
|
|
387 |
{ |
|
|
388 |
"cell_type": "code", |
|
|
389 |
"execution_count": 8, |
|
|
390 |
"metadata": {}, |
|
|
391 |
"outputs": [], |
|
|
392 |
"source": [ |
|
|
393 |
"cols_to_norm=['gcs', 'urine', 'wbc', 'sodium',\n", |
|
|
394 |
" 'temperature', 'respiratoryrate', 'heartrate', 'meanbp', 'creatinine',\n", |
|
|
395 |
" 'ph', 'hematocrit', 'albumin', 'pao2', 'pco2', 'bun', 'glucose',\n", |
|
|
396 |
" 'bilirubin', 'fio2', 'age', 'offset']\n", |
|
|
397 |
"\n", |
|
|
398 |
"X=df.drop('destcopy', 1)\n", |
|
|
399 |
"y=df['destcopy']\n", |
|
|
400 |
"df_cols = list(X) #fancy impute removes column names." |
|
|
401 |
] |
|
|
402 |
}, |
|
|
403 |
{ |
|
|
404 |
"cell_type": "code", |
|
|
405 |
"execution_count": 9, |
|
|
406 |
"metadata": {}, |
|
|
407 |
"outputs": [ |
|
|
408 |
{ |
|
|
409 |
"data": { |
|
|
410 |
"text/plain": [ |
|
|
411 |
"Index(['sodium', 'electivesurgery', 'vent', 'dialysis', 'gcs', 'urine', 'wbc',\n", |
|
|
412 |
" 'temperature', 'respiratoryrate', 'heartrate', 'meanbp', 'creatinine',\n", |
|
|
413 |
" 'ph', 'hematocrit', 'albumin', 'pao2', 'pco2', 'bun', 'glucose',\n", |
|
|
414 |
" 'bilirubin', 'fio2', 'age', 'thrombolytics', 'aids', 'hepaticfailure',\n", |
|
|
415 |
" 'lymphoma', 'metastaticcancer', 'leukemia', 'immunosuppression',\n", |
|
|
416 |
" 'cirrhosis', 'readmit', 'offset', 'destcopy', 'admitsource_1.0',\n", |
|
|
417 |
" 'admitsource_2.0', 'admitsource_3.0', 'admitsource_4.0',\n", |
|
|
418 |
" 'admitsource_5.0', 'admitsource_6.0', 'admitsource_7.0',\n", |
|
|
419 |
" 'admitsource_8.0', 'diaggroup_ARF', 'diaggroup_Asthma-Emphys',\n", |
|
|
420 |
" 'diaggroup_CABG', 'diaggroup_CHF', 'diaggroup_CVA', 'diaggroup_CVOther',\n", |
|
|
421 |
" 'diaggroup_CardiacArrest', 'diaggroup_ChestPainUnknown',\n", |
|
|
422 |
" 'diaggroup_Coma', 'diaggroup_DKA', 'diaggroup_GIBleed',\n", |
|
|
423 |
" 'diaggroup_GIObstruction', 'diaggroup_Neuro', 'diaggroup_Other',\n", |
|
|
424 |
" 'diaggroup_Overdose', 'diaggroup_PNA', 'diaggroup_RespMedOther',\n", |
|
|
425 |
" 'diaggroup_Sepsis', 'diaggroup_Trauma', 'diaggroup_ValveDz',\n", |
|
|
426 |
" 'gender_Male', 'gender_Other'],\n", |
|
|
427 |
" dtype='object')" |
|
|
428 |
] |
|
|
429 |
}, |
|
|
430 |
"execution_count": 9, |
|
|
431 |
"metadata": {}, |
|
|
432 |
"output_type": "execute_result" |
|
|
433 |
} |
|
|
434 |
], |
|
|
435 |
"source": [ |
|
|
436 |
"df.columns" |
|
|
437 |
] |
|
|
438 |
}, |
|
|
439 |
{ |
|
|
440 |
"cell_type": "markdown", |
|
|
441 |
"metadata": {}, |
|
|
442 |
"source": [ |
|
|
443 |
"**XGB**" |
|
|
444 |
] |
|
|
445 |
}, |
|
|
446 |
{ |
|
|
447 |
"cell_type": "code", |
|
|
448 |
"execution_count": 10, |
|
|
449 |
"metadata": {}, |
|
|
450 |
"outputs": [], |
|
|
451 |
"source": [ |
|
|
452 |
"from collections import Counter" |
|
|
453 |
] |
|
|
454 |
}, |
|
|
455 |
{ |
|
|
456 |
"cell_type": "code", |
|
|
457 |
"execution_count": 11, |
|
|
458 |
"metadata": {}, |
|
|
459 |
"outputs": [ |
|
|
460 |
{ |
|
|
461 |
"name": "stderr", |
|
|
462 |
"output_type": "stream", |
|
|
463 |
"text": [ |
|
|
464 |
"C:\\Users\\llois\\Anaconda\\lib\\site-packages\\sklearn\\externals\\six.py:31: DeprecationWarning:\n", |
|
|
465 |
"\n", |
|
|
466 |
"The module is deprecated in version 0.21 and will be removed in version 0.23 since we've dropped support for Python 2.7. Please rely on the official version of six (https://pypi.org/project/six/).\n", |
|
|
467 |
"\n" |
|
|
468 |
] |
|
|
469 |
}, |
|
|
470 |
{ |
|
|
471 |
"name": "stdout", |
|
|
472 |
"output_type": "stream", |
|
|
473 |
"text": [ |
|
|
474 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
475 |
"For fold 1:\n", |
|
|
476 |
"Accuracy: 0.7169732002101944\n", |
|
|
477 |
"f-score: 0.7169732002101944\n", |
|
|
478 |
" pre rec spe f1 geo iba sup\n", |
|
|
479 |
"\n", |
|
|
480 |
" 1 0.39 0.48 0.95 0.43 0.68 0.44 642\n", |
|
|
481 |
" 2 0.79 0.90 0.41 0.84 0.61 0.39 6776\n", |
|
|
482 |
" 3 0.46 0.20 0.95 0.28 0.44 0.18 1716\n", |
|
|
483 |
" 4 0.15 0.10 0.98 0.12 0.31 0.09 381\n", |
|
|
484 |
"\n", |
|
|
485 |
"avg / total 0.68 0.72 0.57 0.69 0.57 0.34 9515\n", |
|
|
486 |
"\n", |
|
|
487 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
488 |
"For fold 2:\n", |
|
|
489 |
"Accuracy: 0.7043615344193379\n", |
|
|
490 |
"f-score: 0.7043615344193379\n", |
|
|
491 |
" pre rec spe f1 geo iba sup\n", |
|
|
492 |
"\n", |
|
|
493 |
" 1 0.47 0.51 0.93 0.49 0.69 0.46 974\n", |
|
|
494 |
" 2 0.87 0.79 0.57 0.83 0.67 0.46 7520\n", |
|
|
495 |
" 3 0.16 0.30 0.87 0.20 0.51 0.24 697\n", |
|
|
496 |
" 4 0.10 0.10 0.97 0.10 0.30 0.08 324\n", |
|
|
497 |
"\n", |
|
|
498 |
"avg / total 0.75 0.70 0.64 0.73 0.65 0.43 9515\n", |
|
|
499 |
"\n", |
|
|
500 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
501 |
"For fold 3:\n", |
|
|
502 |
"Accuracy: 0.7086705202312139\n", |
|
|
503 |
"f-score: 0.7086705202312139\n", |
|
|
504 |
" pre rec spe f1 geo iba sup\n", |
|
|
505 |
"\n", |
|
|
506 |
" 1 0.57 0.59 0.93 0.58 0.74 0.53 1247\n", |
|
|
507 |
" 2 0.81 0.86 0.54 0.83 0.68 0.48 6585\n", |
|
|
508 |
" 3 0.33 0.23 0.91 0.27 0.46 0.20 1462\n", |
|
|
509 |
" 4 0.10 0.10 0.98 0.10 0.31 0.08 221\n", |
|
|
510 |
"\n", |
|
|
511 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.43 9515\n", |
|
|
512 |
"\n", |
|
|
513 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
514 |
"For fold 4:\n", |
|
|
515 |
"Accuracy: 0.6671571203363111\n", |
|
|
516 |
"f-score: 0.6671571203363111\n", |
|
|
517 |
" pre rec spe f1 geo iba sup\n", |
|
|
518 |
"\n", |
|
|
519 |
" 1 0.48 0.58 0.92 0.52 0.73 0.51 1129\n", |
|
|
520 |
" 2 0.78 0.84 0.51 0.81 0.66 0.45 6348\n", |
|
|
521 |
" 3 0.30 0.19 0.93 0.23 0.42 0.16 1285\n", |
|
|
522 |
" 4 0.22 0.13 0.96 0.17 0.36 0.12 753\n", |
|
|
523 |
"\n", |
|
|
524 |
"avg / total 0.63 0.67 0.65 0.65 0.61 0.39 9515\n", |
|
|
525 |
"\n", |
|
|
526 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
527 |
"For fold 5:\n", |
|
|
528 |
"Accuracy: 0.6906988964792433\n", |
|
|
529 |
"f-score: 0.6906988964792433\n", |
|
|
530 |
" pre rec spe f1 geo iba sup\n", |
|
|
531 |
"\n", |
|
|
532 |
" 1 0.53 0.55 0.94 0.54 0.72 0.49 1085\n", |
|
|
533 |
" 2 0.78 0.87 0.50 0.82 0.66 0.45 6437\n", |
|
|
534 |
" 3 0.40 0.19 0.94 0.26 0.43 0.17 1657\n", |
|
|
535 |
" 4 0.12 0.16 0.96 0.14 0.39 0.14 336\n", |
|
|
536 |
"\n", |
|
|
537 |
"avg / total 0.66 0.69 0.64 0.67 0.61 0.39 9515\n", |
|
|
538 |
"\n", |
|
|
539 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
540 |
"For fold 6:\n", |
|
|
541 |
"Accuracy: 0.6855491329479769\n", |
|
|
542 |
"f-score: 0.6855491329479769\n", |
|
|
543 |
" pre rec spe f1 geo iba sup\n", |
|
|
544 |
"\n", |
|
|
545 |
" 1 0.42 0.55 0.93 0.47 0.71 0.49 785\n", |
|
|
546 |
" 2 0.76 0.90 0.46 0.82 0.64 0.43 6224\n", |
|
|
547 |
" 3 0.50 0.22 0.94 0.31 0.46 0.19 2026\n", |
|
|
548 |
" 4 0.19 0.08 0.98 0.11 0.28 0.07 480\n", |
|
|
549 |
"\n", |
|
|
550 |
"avg / total 0.65 0.69 0.63 0.65 0.59 0.37 9515\n", |
|
|
551 |
"\n", |
|
|
552 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
553 |
"For fold 7:\n", |
|
|
554 |
"Accuracy: 0.7142406726221755\n", |
|
|
555 |
"f-score: 0.7142406726221755\n", |
|
|
556 |
" pre rec spe f1 geo iba sup\n", |
|
|
557 |
"\n", |
|
|
558 |
" 1 0.50 0.51 0.95 0.51 0.70 0.47 853\n", |
|
|
559 |
" 2 0.80 0.90 0.46 0.84 0.64 0.43 6684\n", |
|
|
560 |
" 3 0.35 0.26 0.93 0.29 0.49 0.22 1209\n", |
|
|
561 |
" 4 0.26 0.08 0.98 0.12 0.28 0.07 769\n", |
|
|
562 |
"\n", |
|
|
563 |
"avg / total 0.67 0.71 0.61 0.69 0.60 0.38 9515\n", |
|
|
564 |
"\n", |
|
|
565 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
566 |
"For fold 8:\n", |
|
|
567 |
"Accuracy: 0.7141355754072517\n", |
|
|
568 |
"f-score: 0.7141355754072517\n", |
|
|
569 |
" pre rec spe f1 geo iba sup\n", |
|
|
570 |
"\n", |
|
|
571 |
" 1 0.55 0.46 0.96 0.50 0.66 0.42 933\n", |
|
|
572 |
" 2 0.78 0.91 0.41 0.84 0.61 0.39 6645\n", |
|
|
573 |
" 3 0.39 0.20 0.93 0.26 0.43 0.17 1675\n", |
|
|
574 |
" 4 0.10 0.06 0.98 0.08 0.25 0.06 262\n", |
|
|
575 |
"\n", |
|
|
576 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
577 |
"\n", |
|
|
578 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
579 |
"For fold 9:\n", |
|
|
580 |
"Accuracy: 0.6835190245953332\n", |
|
|
581 |
"f-score: 0.6835190245953332\n", |
|
|
582 |
" pre rec spe f1 geo iba sup\n", |
|
|
583 |
"\n", |
|
|
584 |
" 1 0.52 0.54 0.94 0.53 0.71 0.49 1031\n", |
|
|
585 |
" 2 0.78 0.87 0.50 0.82 0.66 0.46 6399\n", |
|
|
586 |
" 3 0.35 0.20 0.93 0.25 0.43 0.17 1495\n", |
|
|
587 |
" 4 0.16 0.13 0.96 0.14 0.35 0.11 589\n", |
|
|
588 |
"\n", |
|
|
589 |
"avg / total 0.65 0.68 0.65 0.66 0.61 0.39 9514\n", |
|
|
590 |
"\n", |
|
|
591 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
592 |
"For fold 10:\n", |
|
|
593 |
"Accuracy: 0.6930838763926844\n", |
|
|
594 |
"f-score: 0.6930838763926844\n", |
|
|
595 |
" pre rec spe f1 geo iba sup\n", |
|
|
596 |
"\n", |
|
|
597 |
" 1 0.52 0.61 0.92 0.56 0.75 0.54 1157\n", |
|
|
598 |
" 2 0.81 0.85 0.56 0.83 0.69 0.48 6600\n", |
|
|
599 |
" 3 0.30 0.22 0.93 0.25 0.45 0.19 1156\n", |
|
|
600 |
" 4 0.12 0.09 0.96 0.11 0.30 0.08 601\n", |
|
|
601 |
"\n", |
|
|
602 |
"avg / total 0.67 0.69 0.67 0.68 0.64 0.43 9514\n", |
|
|
603 |
"\n", |
|
|
604 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
605 |
"For fold 1:\n", |
|
|
606 |
"Accuracy: 0.7202312138728324\n", |
|
|
607 |
"f-score: 0.7202312138728324\n", |
|
|
608 |
" pre rec spe f1 geo iba sup\n", |
|
|
609 |
"\n", |
|
|
610 |
" 1 0.42 0.49 0.95 0.45 0.68 0.44 642\n", |
|
|
611 |
" 2 0.79 0.91 0.41 0.84 0.61 0.39 6776\n", |
|
|
612 |
" 3 0.45 0.21 0.94 0.29 0.44 0.18 1716\n", |
|
|
613 |
" 4 0.18 0.11 0.98 0.14 0.33 0.10 381\n", |
|
|
614 |
"\n", |
|
|
615 |
"avg / total 0.68 0.72 0.57 0.69 0.57 0.34 9515\n", |
|
|
616 |
"\n", |
|
|
617 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
618 |
"For fold 2:\n", |
|
|
619 |
"Accuracy: 0.7106673673147662\n", |
|
|
620 |
"f-score: 0.7106673673147662\n", |
|
|
621 |
" pre rec spe f1 geo iba sup\n", |
|
|
622 |
"\n", |
|
|
623 |
" 1 0.48 0.54 0.93 0.50 0.71 0.48 974\n", |
|
|
624 |
" 2 0.88 0.80 0.58 0.84 0.68 0.48 7520\n", |
|
|
625 |
" 3 0.17 0.31 0.88 0.22 0.52 0.26 697\n", |
|
|
626 |
" 4 0.09 0.08 0.97 0.09 0.28 0.07 324\n", |
|
|
627 |
"\n", |
|
|
628 |
"avg / total 0.76 0.71 0.66 0.73 0.66 0.45 9515\n", |
|
|
629 |
"\n", |
|
|
630 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
631 |
"For fold 3:\n", |
|
|
632 |
"Accuracy: 0.7089858118759853\n", |
|
|
633 |
"f-score: 0.7089858118759853\n", |
|
|
634 |
" pre rec spe f1 geo iba sup\n", |
|
|
635 |
"\n", |
|
|
636 |
" 1 0.57 0.58 0.93 0.57 0.73 0.52 1247\n", |
|
|
637 |
" 2 0.81 0.86 0.55 0.83 0.68 0.48 6585\n", |
|
|
638 |
" 3 0.34 0.25 0.91 0.29 0.48 0.21 1462\n", |
|
|
639 |
" 4 0.06 0.06 0.98 0.06 0.24 0.05 221\n", |
|
|
640 |
"\n", |
|
|
641 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.44 9515\n", |
|
|
642 |
"\n", |
|
|
643 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
644 |
"For fold 4:\n", |
|
|
645 |
"Accuracy: 0.6689437729900157\n", |
|
|
646 |
"f-score: 0.6689437729900157\n", |
|
|
647 |
" pre rec spe f1 geo iba sup\n", |
|
|
648 |
"\n", |
|
|
649 |
" 1 0.47 0.57 0.91 0.52 0.72 0.51 1129\n", |
|
|
650 |
" 2 0.78 0.84 0.52 0.81 0.67 0.46 6348\n", |
|
|
651 |
" 3 0.31 0.20 0.93 0.24 0.43 0.17 1285\n", |
|
|
652 |
" 4 0.23 0.13 0.96 0.16 0.35 0.11 753\n", |
|
|
653 |
"\n", |
|
|
654 |
"avg / total 0.64 0.67 0.66 0.65 0.62 0.40 9515\n", |
|
|
655 |
"\n", |
|
|
656 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
657 |
"For fold 5:\n", |
|
|
658 |
"Accuracy: 0.6909090909090909\n", |
|
|
659 |
"f-score: 0.6909090909090909\n", |
|
|
660 |
" pre rec spe f1 geo iba sup\n", |
|
|
661 |
"\n", |
|
|
662 |
" 1 0.54 0.56 0.94 0.55 0.73 0.51 1085\n", |
|
|
663 |
" 2 0.79 0.87 0.51 0.83 0.66 0.46 6437\n", |
|
|
664 |
" 3 0.41 0.20 0.94 0.27 0.43 0.17 1657\n", |
|
|
665 |
" 4 0.08 0.11 0.95 0.09 0.32 0.09 336\n", |
|
|
666 |
"\n", |
|
|
667 |
"avg / total 0.67 0.69 0.65 0.67 0.62 0.40 9515\n", |
|
|
668 |
"\n", |
|
|
669 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
670 |
"For fold 6:\n", |
|
|
671 |
"Accuracy: 0.6831318970047294\n", |
|
|
672 |
"f-score: 0.6831318970047294\n", |
|
|
673 |
" pre rec spe f1 geo iba sup\n", |
|
|
674 |
"\n", |
|
|
675 |
" 1 0.42 0.53 0.93 0.47 0.70 0.47 785\n", |
|
|
676 |
" 2 0.76 0.90 0.45 0.82 0.64 0.43 6224\n", |
|
|
677 |
" 3 0.50 0.21 0.94 0.30 0.45 0.19 2026\n", |
|
|
678 |
" 4 0.15 0.07 0.98 0.10 0.26 0.06 480\n", |
|
|
679 |
"\n", |
|
|
680 |
"avg / total 0.64 0.68 0.62 0.65 0.59 0.36 9515\n", |
|
|
681 |
"\n", |
|
|
682 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
683 |
"For fold 7:\n", |
|
|
684 |
"Accuracy: 0.7130846032580137\n", |
|
|
685 |
"f-score: 0.7130846032580137\n", |
|
|
686 |
" pre rec spe f1 geo iba sup\n", |
|
|
687 |
"\n", |
|
|
688 |
" 1 0.49 0.51 0.95 0.50 0.69 0.46 853\n", |
|
|
689 |
" 2 0.80 0.89 0.47 0.84 0.65 0.43 6684\n", |
|
|
690 |
" 3 0.36 0.28 0.93 0.31 0.51 0.24 1209\n", |
|
|
691 |
" 4 0.29 0.08 0.98 0.13 0.29 0.07 769\n", |
|
|
692 |
"\n", |
|
|
693 |
"avg / total 0.67 0.71 0.61 0.69 0.60 0.38 9515\n", |
|
|
694 |
"\n", |
|
|
695 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
696 |
"For fold 8:\n", |
|
|
697 |
"Accuracy: 0.7142406726221755\n", |
|
|
698 |
"f-score: 0.7142406726221755\n", |
|
|
699 |
" pre rec spe f1 geo iba sup\n", |
|
|
700 |
"\n", |
|
|
701 |
" 1 0.54 0.47 0.96 0.50 0.67 0.43 933\n", |
|
|
702 |
" 2 0.78 0.91 0.41 0.84 0.61 0.39 6645\n", |
|
|
703 |
" 3 0.40 0.20 0.94 0.26 0.43 0.17 1675\n", |
|
|
704 |
" 4 0.08 0.05 0.98 0.06 0.23 0.05 262\n", |
|
|
705 |
"\n", |
|
|
706 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
707 |
"\n", |
|
|
708 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
709 |
"For fold 9:\n", |
|
|
710 |
"Accuracy: 0.6776329619508094\n", |
|
|
711 |
"f-score: 0.6776329619508094\n", |
|
|
712 |
" pre rec spe f1 geo iba sup\n", |
|
|
713 |
"\n", |
|
|
714 |
" 1 0.49 0.54 0.93 0.51 0.71 0.48 1031\n", |
|
|
715 |
" 2 0.78 0.86 0.52 0.82 0.67 0.46 6399\n", |
|
|
716 |
" 3 0.35 0.21 0.93 0.26 0.44 0.18 1495\n", |
|
|
717 |
" 4 0.15 0.12 0.95 0.13 0.34 0.10 589\n", |
|
|
718 |
"\n", |
|
|
719 |
"avg / total 0.65 0.68 0.65 0.66 0.61 0.40 9514\n", |
|
|
720 |
"\n", |
|
|
721 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
722 |
"For fold 10:\n", |
|
|
723 |
"Accuracy: 0.6961320159764558\n", |
|
|
724 |
"f-score: 0.6961320159764558\n", |
|
|
725 |
" pre rec spe f1 geo iba sup\n", |
|
|
726 |
"\n", |
|
|
727 |
" 1 0.52 0.61 0.92 0.56 0.75 0.55 1157\n", |
|
|
728 |
" 2 0.81 0.85 0.56 0.83 0.69 0.49 6600\n", |
|
|
729 |
" 3 0.29 0.22 0.93 0.25 0.45 0.19 1156\n", |
|
|
730 |
" 4 0.16 0.09 0.97 0.12 0.30 0.08 601\n", |
|
|
731 |
"\n", |
|
|
732 |
"avg / total 0.67 0.70 0.67 0.68 0.64 0.43 9514\n", |
|
|
733 |
"\n", |
|
|
734 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
735 |
"For fold 1:\n", |
|
|
736 |
"Accuracy: 0.7162375197057278\n", |
|
|
737 |
"f-score: 0.7162375197057278\n", |
|
|
738 |
" pre rec spe f1 geo iba sup\n", |
|
|
739 |
"\n", |
|
|
740 |
" 1 0.41 0.50 0.95 0.45 0.69 0.45 642\n", |
|
|
741 |
" 2 0.79 0.91 0.40 0.84 0.60 0.38 6776\n", |
|
|
742 |
" 3 0.45 0.18 0.95 0.26 0.42 0.16 1716\n", |
|
|
743 |
" 4 0.16 0.11 0.98 0.13 0.32 0.10 381\n", |
|
|
744 |
"\n", |
|
|
745 |
"avg / total 0.68 0.72 0.56 0.68 0.56 0.34 9515\n", |
|
|
746 |
"\n", |
|
|
747 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
748 |
"For fold 2:\n", |
|
|
749 |
"Accuracy: 0.7158171308460326\n", |
|
|
750 |
"f-score: 0.7158171308460325\n", |
|
|
751 |
" pre rec spe f1 geo iba sup\n", |
|
|
752 |
"\n", |
|
|
753 |
" 1 0.48 0.55 0.93 0.51 0.71 0.49 974\n", |
|
|
754 |
" 2 0.88 0.80 0.59 0.84 0.69 0.48 7520\n", |
|
|
755 |
" 3 0.18 0.32 0.88 0.23 0.53 0.27 697\n", |
|
|
756 |
" 4 0.07 0.07 0.97 0.07 0.26 0.06 324\n", |
|
|
757 |
"\n", |
|
|
758 |
"avg / total 0.76 0.72 0.66 0.74 0.66 0.45 9515\n", |
|
|
759 |
"\n", |
|
|
760 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
761 |
"For fold 3:\n", |
|
|
762 |
"Accuracy: 0.7233841303205465\n", |
|
|
763 |
"f-score: 0.7233841303205465\n", |
|
|
764 |
" pre rec spe f1 geo iba sup\n", |
|
|
765 |
"\n", |
|
|
766 |
" 1 0.59 0.58 0.94 0.58 0.74 0.53 1247\n", |
|
|
767 |
" 2 0.81 0.88 0.53 0.84 0.68 0.48 6585\n", |
|
|
768 |
" 3 0.36 0.23 0.92 0.28 0.46 0.20 1462\n", |
|
|
769 |
" 4 0.11 0.06 0.99 0.08 0.25 0.06 221\n", |
|
|
770 |
"\n", |
|
|
771 |
"avg / total 0.69 0.72 0.65 0.70 0.65 0.43 9515\n", |
|
|
772 |
"\n", |
|
|
773 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
774 |
"For fold 4:\n", |
|
|
775 |
"Accuracy: 0.670940620073568\n", |
|
|
776 |
"f-score: 0.670940620073568\n", |
|
|
777 |
" pre rec spe f1 geo iba sup\n", |
|
|
778 |
"\n", |
|
|
779 |
" 1 0.50 0.60 0.92 0.54 0.74 0.54 1129\n", |
|
|
780 |
" 2 0.78 0.84 0.52 0.81 0.66 0.45 6348\n", |
|
|
781 |
" 3 0.31 0.20 0.93 0.24 0.43 0.17 1285\n", |
|
|
782 |
" 4 0.21 0.12 0.96 0.16 0.34 0.11 753\n", |
|
|
783 |
"\n", |
|
|
784 |
"avg / total 0.64 0.67 0.66 0.65 0.61 0.40 9515\n", |
|
|
785 |
"\n", |
|
|
786 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
787 |
"For fold 5:\n", |
|
|
788 |
"Accuracy: 0.6832369942196532\n", |
|
|
789 |
"f-score: 0.6832369942196532\n", |
|
|
790 |
" pre rec spe f1 geo iba sup\n", |
|
|
791 |
"\n", |
|
|
792 |
" 1 0.51 0.56 0.93 0.53 0.72 0.50 1085\n", |
|
|
793 |
" 2 0.79 0.86 0.51 0.82 0.66 0.46 6437\n", |
|
|
794 |
" 3 0.37 0.19 0.93 0.25 0.42 0.16 1657\n", |
|
|
795 |
" 4 0.10 0.13 0.96 0.11 0.35 0.11 336\n", |
|
|
796 |
"\n", |
|
|
797 |
"avg / total 0.66 0.68 0.65 0.66 0.62 0.40 9515\n", |
|
|
798 |
"\n", |
|
|
799 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
800 |
"For fold 6:\n", |
|
|
801 |
"Accuracy: 0.6956384655806621\n", |
|
|
802 |
"f-score: 0.6956384655806621\n", |
|
|
803 |
" pre rec spe f1 geo iba sup\n", |
|
|
804 |
"\n", |
|
|
805 |
" 1 0.44 0.54 0.94 0.49 0.71 0.49 785\n", |
|
|
806 |
" 2 0.76 0.91 0.46 0.83 0.65 0.44 6224\n", |
|
|
807 |
" 3 0.55 0.25 0.94 0.34 0.48 0.22 2026\n", |
|
|
808 |
" 4 0.15 0.07 0.98 0.09 0.26 0.06 480\n", |
|
|
809 |
"\n", |
|
|
810 |
"avg / total 0.66 0.70 0.63 0.66 0.60 0.38 9515\n", |
|
|
811 |
"\n", |
|
|
812 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
813 |
"For fold 7:\n", |
|
|
814 |
"Accuracy: 0.7121387283236994\n", |
|
|
815 |
"f-score: 0.7121387283236994\n", |
|
|
816 |
" pre rec spe f1 geo iba sup\n", |
|
|
817 |
"\n", |
|
|
818 |
" 1 0.49 0.52 0.95 0.51 0.70 0.47 853\n", |
|
|
819 |
" 2 0.79 0.89 0.45 0.84 0.64 0.42 6684\n", |
|
|
820 |
" 3 0.33 0.24 0.93 0.28 0.47 0.21 1209\n", |
|
|
821 |
" 4 0.32 0.09 0.98 0.14 0.30 0.08 769\n", |
|
|
822 |
"\n", |
|
|
823 |
"avg / total 0.67 0.71 0.60 0.68 0.59 0.37 9515\n", |
|
|
824 |
"\n", |
|
|
825 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
826 |
"For fold 8:\n", |
|
|
827 |
"Accuracy: 0.7149763531266421\n", |
|
|
828 |
"f-score: 0.714976353126642\n", |
|
|
829 |
" pre rec spe f1 geo iba sup\n", |
|
|
830 |
"\n", |
|
|
831 |
" 1 0.55 0.47 0.96 0.51 0.67 0.43 933\n", |
|
|
832 |
" 2 0.78 0.91 0.40 0.84 0.60 0.38 6645\n", |
|
|
833 |
" 3 0.41 0.19 0.94 0.26 0.43 0.17 1675\n", |
|
|
834 |
" 4 0.06 0.04 0.98 0.05 0.20 0.04 262\n", |
|
|
835 |
"\n", |
|
|
836 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
837 |
"\n", |
|
|
838 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
839 |
"For fold 9:\n", |
|
|
840 |
"Accuracy: 0.6824679419802396\n", |
|
|
841 |
"f-score: 0.6824679419802396\n", |
|
|
842 |
" pre rec spe f1 geo iba sup\n", |
|
|
843 |
"\n", |
|
|
844 |
" 1 0.52 0.55 0.94 0.53 0.72 0.49 1031\n", |
|
|
845 |
" 2 0.78 0.87 0.51 0.82 0.66 0.46 6399\n", |
|
|
846 |
" 3 0.33 0.21 0.92 0.26 0.44 0.18 1495\n", |
|
|
847 |
" 4 0.18 0.13 0.96 0.15 0.35 0.11 589\n", |
|
|
848 |
"\n", |
|
|
849 |
"avg / total 0.65 0.68 0.65 0.66 0.62 0.40 9514\n", |
|
|
850 |
"\n", |
|
|
851 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
852 |
"For fold 10:\n", |
|
|
853 |
"Accuracy: 0.6994954803447551\n", |
|
|
854 |
"f-score: 0.6994954803447551\n", |
|
|
855 |
" pre rec spe f1 geo iba sup\n", |
|
|
856 |
"\n", |
|
|
857 |
" 1 0.51 0.61 0.92 0.55 0.75 0.54 1157\n", |
|
|
858 |
" 2 0.81 0.85 0.55 0.83 0.69 0.49 6600\n", |
|
|
859 |
" 3 0.31 0.22 0.93 0.26 0.45 0.19 1156\n", |
|
|
860 |
" 4 0.15 0.09 0.97 0.11 0.29 0.08 601\n", |
|
|
861 |
"\n", |
|
|
862 |
"avg / total 0.67 0.70 0.67 0.68 0.64 0.43 9514\n", |
|
|
863 |
"\n", |
|
|
864 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
865 |
"For fold 1:\n", |
|
|
866 |
"Accuracy: 0.72044140830268\n", |
|
|
867 |
"f-score: 0.72044140830268\n", |
|
|
868 |
" pre rec spe f1 geo iba sup\n", |
|
|
869 |
"\n", |
|
|
870 |
" 1 0.42 0.49 0.95 0.45 0.68 0.44 642\n", |
|
|
871 |
" 2 0.79 0.91 0.41 0.84 0.61 0.39 6776\n", |
|
|
872 |
" 3 0.47 0.21 0.95 0.29 0.45 0.19 1716\n", |
|
|
873 |
" 4 0.16 0.10 0.98 0.12 0.31 0.09 381\n", |
|
|
874 |
"\n", |
|
|
875 |
"avg / total 0.68 0.72 0.56 0.69 0.57 0.34 9515\n", |
|
|
876 |
"\n", |
|
|
877 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
878 |
"For fold 2:\n", |
|
|
879 |
"Accuracy: 0.7086705202312139\n", |
|
|
880 |
"f-score: 0.7086705202312139\n", |
|
|
881 |
" pre rec spe f1 geo iba sup\n", |
|
|
882 |
"\n", |
|
|
883 |
" 1 0.48 0.54 0.93 0.51 0.71 0.48 974\n", |
|
|
884 |
" 2 0.88 0.80 0.58 0.84 0.68 0.48 7520\n", |
|
|
885 |
" 3 0.16 0.29 0.88 0.20 0.50 0.24 697\n", |
|
|
886 |
" 4 0.09 0.09 0.97 0.09 0.29 0.08 324\n", |
|
|
887 |
"\n", |
|
|
888 |
"avg / total 0.76 0.71 0.65 0.73 0.66 0.45 9515\n", |
|
|
889 |
"\n", |
|
|
890 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
891 |
"For fold 3:\n", |
|
|
892 |
"Accuracy: 0.7070940620073568\n", |
|
|
893 |
"f-score: 0.7070940620073568\n", |
|
|
894 |
" pre rec spe f1 geo iba sup\n", |
|
|
895 |
"\n", |
|
|
896 |
" 1 0.56 0.58 0.93 0.57 0.73 0.52 1247\n", |
|
|
897 |
" 2 0.81 0.86 0.54 0.83 0.68 0.48 6585\n", |
|
|
898 |
" 3 0.32 0.22 0.92 0.26 0.45 0.19 1462\n", |
|
|
899 |
" 4 0.08 0.08 0.98 0.08 0.27 0.07 221\n", |
|
|
900 |
"\n", |
|
|
901 |
"avg / total 0.68 0.71 0.66 0.69 0.64 0.43 9515\n", |
|
|
902 |
"\n", |
|
|
903 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
904 |
"For fold 4:\n", |
|
|
905 |
"Accuracy: 0.6684182869153967\n", |
|
|
906 |
"f-score: 0.6684182869153967\n", |
|
|
907 |
" pre rec spe f1 geo iba sup\n", |
|
|
908 |
"\n", |
|
|
909 |
" 1 0.48 0.59 0.91 0.53 0.73 0.52 1129\n", |
|
|
910 |
" 2 0.78 0.85 0.52 0.81 0.66 0.45 6348\n", |
|
|
911 |
" 3 0.27 0.18 0.93 0.21 0.40 0.15 1285\n", |
|
|
912 |
" 4 0.22 0.12 0.97 0.15 0.34 0.10 753\n", |
|
|
913 |
"\n", |
|
|
914 |
"avg / total 0.63 0.67 0.65 0.65 0.61 0.39 9515\n", |
|
|
915 |
"\n", |
|
|
916 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
917 |
"For fold 5:\n", |
|
|
918 |
"Accuracy: 0.6949027850761955\n", |
|
|
919 |
"f-score: 0.6949027850761955\n", |
|
|
920 |
" pre rec spe f1 geo iba sup\n", |
|
|
921 |
"\n", |
|
|
922 |
" 1 0.51 0.54 0.93 0.53 0.71 0.49 1085\n", |
|
|
923 |
" 2 0.79 0.88 0.50 0.83 0.66 0.46 6437\n", |
|
|
924 |
" 3 0.42 0.20 0.94 0.27 0.44 0.18 1657\n", |
|
|
925 |
" 4 0.11 0.13 0.96 0.12 0.35 0.12 336\n", |
|
|
926 |
"\n", |
|
|
927 |
"avg / total 0.67 0.69 0.64 0.67 0.62 0.40 9515\n", |
|
|
928 |
"\n", |
|
|
929 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
930 |
"For fold 6:\n", |
|
|
931 |
"Accuracy: 0.6911192853389385\n", |
|
|
932 |
"f-score: 0.6911192853389385\n", |
|
|
933 |
" pre rec spe f1 geo iba sup\n", |
|
|
934 |
"\n", |
|
|
935 |
" 1 0.44 0.55 0.94 0.49 0.72 0.50 785\n", |
|
|
936 |
" 2 0.76 0.91 0.47 0.83 0.65 0.44 6224\n", |
|
|
937 |
" 3 0.51 0.23 0.94 0.32 0.47 0.20 2026\n", |
|
|
938 |
" 4 0.16 0.07 0.98 0.10 0.27 0.07 480\n", |
|
|
939 |
"\n", |
|
|
940 |
"avg / total 0.65 0.69 0.63 0.66 0.60 0.38 9515\n", |
|
|
941 |
"\n", |
|
|
942 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
943 |
"For fold 7:\n", |
|
|
944 |
"Accuracy: 0.7078297425118234\n", |
|
|
945 |
"f-score: 0.7078297425118234\n", |
|
|
946 |
" pre rec spe f1 geo iba sup\n", |
|
|
947 |
"\n", |
|
|
948 |
" 1 0.48 0.50 0.95 0.49 0.69 0.45 853\n", |
|
|
949 |
" 2 0.80 0.89 0.47 0.84 0.64 0.43 6684\n", |
|
|
950 |
" 3 0.33 0.27 0.92 0.30 0.50 0.23 1209\n", |
|
|
951 |
" 4 0.26 0.07 0.98 0.12 0.27 0.07 769\n", |
|
|
952 |
"\n", |
|
|
953 |
"avg / total 0.67 0.71 0.61 0.68 0.60 0.38 9515\n", |
|
|
954 |
"\n", |
|
|
955 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
956 |
"For fold 8:\n", |
|
|
957 |
"Accuracy: 0.7168681029952706\n", |
|
|
958 |
"f-score: 0.7168681029952706\n", |
|
|
959 |
" pre rec spe f1 geo iba sup\n", |
|
|
960 |
"\n", |
|
|
961 |
" 1 0.56 0.45 0.96 0.50 0.66 0.41 933\n", |
|
|
962 |
" 2 0.78 0.91 0.41 0.84 0.61 0.39 6645\n", |
|
|
963 |
" 3 0.40 0.21 0.93 0.28 0.44 0.18 1675\n", |
|
|
964 |
" 4 0.11 0.07 0.98 0.09 0.27 0.06 262\n", |
|
|
965 |
"\n", |
|
|
966 |
"avg / total 0.68 0.72 0.57 0.69 0.58 0.35 9515\n", |
|
|
967 |
"\n", |
|
|
968 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
969 |
"For fold 9:\n", |
|
|
970 |
"Accuracy: 0.6847803237334454\n", |
|
|
971 |
"f-score: 0.6847803237334454\n", |
|
|
972 |
" pre rec spe f1 geo iba sup\n", |
|
|
973 |
"\n", |
|
|
974 |
" 1 0.50 0.54 0.93 0.52 0.71 0.49 1031\n", |
|
|
975 |
" 2 0.79 0.87 0.52 0.83 0.67 0.47 6399\n", |
|
|
976 |
" 3 0.35 0.23 0.92 0.27 0.46 0.19 1495\n", |
|
|
977 |
" 4 0.19 0.12 0.97 0.15 0.34 0.11 589\n", |
|
|
978 |
"\n", |
|
|
979 |
"avg / total 0.65 0.68 0.66 0.66 0.62 0.40 9514\n", |
|
|
980 |
"\n", |
|
|
981 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
982 |
"For fold 10:\n", |
|
|
983 |
"Accuracy: 0.6996005886062645\n", |
|
|
984 |
"f-score: 0.6996005886062645\n", |
|
|
985 |
" pre rec spe f1 geo iba sup\n", |
|
|
986 |
"\n", |
|
|
987 |
" 1 0.51 0.61 0.92 0.56 0.75 0.54 1157\n", |
|
|
988 |
" 2 0.82 0.85 0.56 0.83 0.69 0.49 6600\n", |
|
|
989 |
" 3 0.30 0.22 0.93 0.26 0.46 0.19 1156\n", |
|
|
990 |
" 4 0.14 0.08 0.97 0.10 0.28 0.07 601\n", |
|
|
991 |
"\n", |
|
|
992 |
"avg / total 0.67 0.70 0.68 0.68 0.64 0.44 9514\n", |
|
|
993 |
"\n", |
|
|
994 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
995 |
"For fold 1:\n", |
|
|
996 |
"Accuracy: 0.7178139779295849\n", |
|
|
997 |
"f-score: 0.7178139779295849\n", |
|
|
998 |
" pre rec spe f1 geo iba sup\n", |
|
|
999 |
"\n", |
|
|
1000 |
" 1 0.42 0.51 0.95 0.46 0.69 0.46 642\n", |
|
|
1001 |
" 2 0.79 0.90 0.41 0.84 0.61 0.39 6776\n", |
|
|
1002 |
" 3 0.45 0.21 0.95 0.28 0.44 0.18 1716\n", |
|
|
1003 |
" 4 0.14 0.08 0.98 0.10 0.29 0.07 381\n", |
|
|
1004 |
"\n", |
|
|
1005 |
"avg / total 0.68 0.72 0.57 0.69 0.57 0.34 9515\n", |
|
|
1006 |
"\n", |
|
|
1007 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1008 |
"For fold 2:\n", |
|
|
1009 |
"Accuracy: 0.7165528113504992\n", |
|
|
1010 |
"f-score: 0.7165528113504992\n", |
|
|
1011 |
" pre rec spe f1 geo iba sup\n", |
|
|
1012 |
"\n", |
|
|
1013 |
" 1 0.49 0.53 0.94 0.50 0.70 0.47 974\n", |
|
|
1014 |
" 2 0.88 0.80 0.58 0.84 0.68 0.48 7520\n", |
|
|
1015 |
" 3 0.18 0.32 0.88 0.23 0.53 0.27 697\n", |
|
|
1016 |
" 4 0.10 0.09 0.97 0.10 0.30 0.08 324\n", |
|
|
1017 |
"\n", |
|
|
1018 |
"avg / total 0.76 0.72 0.65 0.74 0.66 0.45 9515\n", |
|
|
1019 |
"\n", |
|
|
1020 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1021 |
"For fold 3:\n", |
|
|
1022 |
"Accuracy: 0.7057277982133473\n", |
|
|
1023 |
"f-score: 0.7057277982133473\n", |
|
|
1024 |
" pre rec spe f1 geo iba sup\n", |
|
|
1025 |
"\n", |
|
|
1026 |
" 1 0.56 0.59 0.93 0.57 0.74 0.53 1247\n", |
|
|
1027 |
" 2 0.81 0.85 0.54 0.83 0.68 0.48 6585\n", |
|
|
1028 |
" 3 0.33 0.23 0.92 0.27 0.46 0.20 1462\n", |
|
|
1029 |
" 4 0.10 0.10 0.98 0.10 0.30 0.08 221\n", |
|
|
1030 |
"\n", |
|
|
1031 |
"avg / total 0.68 0.71 0.66 0.69 0.64 0.43 9515\n", |
|
|
1032 |
"\n", |
|
|
1033 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1034 |
"For fold 4:\n", |
|
|
1035 |
"Accuracy: 0.6705202312138728\n", |
|
|
1036 |
"f-score: 0.6705202312138728\n", |
|
|
1037 |
" pre rec spe f1 geo iba sup\n", |
|
|
1038 |
"\n", |
|
|
1039 |
" 1 0.48 0.58 0.91 0.53 0.73 0.51 1129\n", |
|
|
1040 |
" 2 0.78 0.85 0.52 0.81 0.66 0.45 6348\n", |
|
|
1041 |
" 3 0.32 0.19 0.94 0.24 0.42 0.16 1285\n", |
|
|
1042 |
" 4 0.20 0.12 0.96 0.15 0.35 0.11 753\n", |
|
|
1043 |
"\n", |
|
|
1044 |
"avg / total 0.64 0.67 0.66 0.65 0.61 0.39 9515\n", |
|
|
1045 |
"\n", |
|
|
1046 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1047 |
"For fold 5:\n", |
|
|
1048 |
"Accuracy: 0.6850236468733578\n", |
|
|
1049 |
"f-score: 0.6850236468733578\n", |
|
|
1050 |
" pre rec spe f1 geo iba sup\n", |
|
|
1051 |
"\n", |
|
|
1052 |
" 1 0.53 0.55 0.94 0.54 0.72 0.50 1085\n", |
|
|
1053 |
" 2 0.78 0.86 0.51 0.82 0.66 0.45 6437\n", |
|
|
1054 |
" 3 0.41 0.22 0.93 0.28 0.45 0.19 1657\n", |
|
|
1055 |
" 4 0.09 0.12 0.95 0.10 0.35 0.11 336\n", |
|
|
1056 |
"\n", |
|
|
1057 |
"avg / total 0.67 0.69 0.65 0.67 0.62 0.40 9515\n", |
|
|
1058 |
"\n", |
|
|
1059 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1060 |
"For fold 6:\n", |
|
|
1061 |
"Accuracy: 0.6862848134524435\n", |
|
|
1062 |
"f-score: 0.6862848134524435\n", |
|
|
1063 |
" pre rec spe f1 geo iba sup\n", |
|
|
1064 |
"\n", |
|
|
1065 |
" 1 0.42 0.52 0.93 0.46 0.70 0.47 785\n", |
|
|
1066 |
" 2 0.76 0.90 0.46 0.82 0.64 0.43 6224\n", |
|
|
1067 |
" 3 0.52 0.23 0.94 0.32 0.46 0.20 2026\n", |
|
|
1068 |
" 4 0.18 0.09 0.98 0.12 0.30 0.08 480\n", |
|
|
1069 |
"\n", |
|
|
1070 |
"avg / total 0.65 0.69 0.63 0.65 0.59 0.37 9515\n", |
|
|
1071 |
"\n", |
|
|
1072 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1073 |
"For fold 7:\n", |
|
|
1074 |
"Accuracy: 0.7088807146610615\n", |
|
|
1075 |
"f-score: 0.7088807146610615\n", |
|
|
1076 |
" pre rec spe f1 geo iba sup\n", |
|
|
1077 |
"\n", |
|
|
1078 |
" 1 0.49 0.50 0.95 0.49 0.69 0.45 853\n", |
|
|
1079 |
" 2 0.80 0.89 0.46 0.84 0.64 0.43 6684\n", |
|
|
1080 |
" 3 0.33 0.26 0.93 0.29 0.49 0.22 1209\n", |
|
|
1081 |
" 4 0.27 0.09 0.98 0.13 0.29 0.08 769\n", |
|
|
1082 |
"\n", |
|
|
1083 |
"avg / total 0.67 0.71 0.61 0.68 0.60 0.38 9515\n", |
|
|
1084 |
"\n", |
|
|
1085 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1086 |
"For fold 8:\n", |
|
|
1087 |
"Accuracy: 0.7135049921177089\n", |
|
|
1088 |
"f-score: 0.713504992117709\n", |
|
|
1089 |
" pre rec spe f1 geo iba sup\n", |
|
|
1090 |
"\n", |
|
|
1091 |
" 1 0.57 0.45 0.96 0.50 0.66 0.41 933\n", |
|
|
1092 |
" 2 0.78 0.91 0.40 0.84 0.61 0.39 6645\n", |
|
|
1093 |
" 3 0.38 0.19 0.93 0.25 0.42 0.16 1675\n", |
|
|
1094 |
" 4 0.10 0.07 0.98 0.09 0.27 0.06 262\n", |
|
|
1095 |
"\n", |
|
|
1096 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
1097 |
"\n", |
|
|
1098 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1099 |
"For fold 9:\n", |
|
|
1100 |
"Accuracy: 0.6846752154719361\n", |
|
|
1101 |
"f-score: 0.6846752154719361\n", |
|
|
1102 |
" pre rec spe f1 geo iba sup\n", |
|
|
1103 |
"\n", |
|
|
1104 |
" 1 0.51 0.53 0.94 0.52 0.70 0.48 1031\n", |
|
|
1105 |
" 2 0.78 0.87 0.51 0.83 0.66 0.46 6399\n", |
|
|
1106 |
" 3 0.35 0.21 0.93 0.27 0.44 0.18 1495\n", |
|
|
1107 |
" 4 0.18 0.13 0.96 0.15 0.35 0.11 589\n", |
|
|
1108 |
"\n", |
|
|
1109 |
"avg / total 0.65 0.68 0.65 0.66 0.61 0.39 9514\n", |
|
|
1110 |
"\n", |
|
|
1111 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1112 |
"For fold 10:\n", |
|
|
1113 |
"Accuracy: 0.6931889846541939\n", |
|
|
1114 |
"f-score: 0.6931889846541939\n", |
|
|
1115 |
" pre rec spe f1 geo iba sup\n", |
|
|
1116 |
"\n", |
|
|
1117 |
" 1 0.50 0.61 0.91 0.55 0.75 0.54 1157\n", |
|
|
1118 |
" 2 0.81 0.85 0.55 0.83 0.69 0.48 6600\n", |
|
|
1119 |
" 3 0.28 0.20 0.93 0.23 0.43 0.17 1156\n", |
|
|
1120 |
" 4 0.14 0.09 0.96 0.11 0.29 0.08 601\n", |
|
|
1121 |
"\n", |
|
|
1122 |
"avg / total 0.67 0.69 0.67 0.68 0.64 0.43 9514\n", |
|
|
1123 |
"\n", |
|
|
1124 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
1125 |
"For fold 1:\n", |
|
|
1126 |
"Accuracy: 0.7158171308460326\n", |
|
|
1127 |
"f-score: 0.7158171308460325\n", |
|
|
1128 |
" pre rec spe f1 geo iba sup\n", |
|
|
1129 |
"\n", |
|
|
1130 |
" 1 0.40 0.48 0.95 0.44 0.68 0.44 642\n", |
|
|
1131 |
" 2 0.79 0.90 0.40 0.84 0.60 0.38 6776\n", |
|
|
1132 |
" 3 0.46 0.21 0.95 0.29 0.44 0.18 1716\n", |
|
|
1133 |
" 4 0.12 0.07 0.98 0.09 0.27 0.07 381\n", |
|
|
1134 |
"\n", |
|
|
1135 |
"avg / total 0.68 0.72 0.56 0.68 0.57 0.34 9515\n", |
|
|
1136 |
"\n", |
|
|
1137 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1138 |
"For fold 2:\n", |
|
|
1139 |
"Accuracy: 0.7128744088281661\n", |
|
|
1140 |
"f-score: 0.7128744088281661\n", |
|
|
1141 |
" pre rec spe f1 geo iba sup\n", |
|
|
1142 |
"\n", |
|
|
1143 |
" 1 0.47 0.54 0.93 0.50 0.71 0.48 974\n", |
|
|
1144 |
" 2 0.88 0.80 0.58 0.84 0.68 0.48 7520\n", |
|
|
1145 |
" 3 0.17 0.32 0.88 0.22 0.53 0.26 697\n", |
|
|
1146 |
" 4 0.08 0.07 0.97 0.07 0.26 0.06 324\n", |
|
|
1147 |
"\n", |
|
|
1148 |
"avg / total 0.76 0.71 0.65 0.73 0.66 0.45 9515\n", |
|
|
1149 |
"\n", |
|
|
1150 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1151 |
"For fold 3:\n", |
|
|
1152 |
"Accuracy: 0.708039936941671\n", |
|
|
1153 |
"f-score: 0.708039936941671\n", |
|
|
1154 |
" pre rec spe f1 geo iba sup\n", |
|
|
1155 |
"\n", |
|
|
1156 |
" 1 0.57 0.58 0.93 0.58 0.74 0.52 1247\n", |
|
|
1157 |
" 2 0.81 0.86 0.54 0.83 0.68 0.48 6585\n", |
|
|
1158 |
" 3 0.33 0.23 0.91 0.27 0.46 0.19 1462\n", |
|
|
1159 |
" 4 0.08 0.09 0.98 0.08 0.29 0.08 221\n", |
|
|
1160 |
"\n", |
|
|
1161 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.43 9515\n", |
|
|
1162 |
"\n", |
|
|
1163 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1164 |
"For fold 4:\n", |
|
|
1165 |
"Accuracy: 0.6690488702049395\n", |
|
|
1166 |
"f-score: 0.6690488702049395\n", |
|
|
1167 |
" pre rec spe f1 geo iba sup\n", |
|
|
1168 |
"\n", |
|
|
1169 |
" 1 0.48 0.57 0.92 0.52 0.72 0.51 1129\n", |
|
|
1170 |
" 2 0.78 0.84 0.52 0.81 0.66 0.45 6348\n", |
|
|
1171 |
" 3 0.32 0.21 0.93 0.25 0.44 0.18 1285\n", |
|
|
1172 |
" 4 0.21 0.12 0.96 0.15 0.34 0.11 753\n", |
|
|
1173 |
"\n", |
|
|
1174 |
"avg / total 0.64 0.67 0.66 0.65 0.61 0.39 9515\n", |
|
|
1175 |
"\n", |
|
|
1176 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1177 |
"For fold 5:\n", |
|
|
1178 |
"Accuracy: 0.6901734104046243\n", |
|
|
1179 |
"f-score: 0.6901734104046243\n", |
|
|
1180 |
" pre rec spe f1 geo iba sup\n", |
|
|
1181 |
"\n", |
|
|
1182 |
" 1 0.51 0.55 0.93 0.53 0.72 0.50 1085\n", |
|
|
1183 |
" 2 0.78 0.87 0.50 0.83 0.66 0.45 6437\n", |
|
|
1184 |
" 3 0.41 0.19 0.94 0.26 0.42 0.16 1657\n", |
|
|
1185 |
" 4 0.11 0.15 0.96 0.13 0.37 0.13 336\n", |
|
|
1186 |
"\n", |
|
|
1187 |
"avg / total 0.66 0.69 0.64 0.67 0.61 0.40 9515\n", |
|
|
1188 |
"\n", |
|
|
1189 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1190 |
"For fold 6:\n", |
|
|
1191 |
"Accuracy: 0.6906988964792433\n", |
|
|
1192 |
"f-score: 0.6906988964792433\n", |
|
|
1193 |
" pre rec spe f1 geo iba sup\n", |
|
|
1194 |
"\n", |
|
|
1195 |
" 1 0.44 0.55 0.94 0.49 0.72 0.50 785\n", |
|
|
1196 |
" 2 0.76 0.91 0.46 0.83 0.64 0.43 6224\n", |
|
|
1197 |
" 3 0.51 0.22 0.94 0.31 0.46 0.20 2026\n", |
|
|
1198 |
" 4 0.20 0.09 0.98 0.12 0.29 0.08 480\n", |
|
|
1199 |
"\n", |
|
|
1200 |
"avg / total 0.65 0.69 0.63 0.65 0.59 0.37 9515\n", |
|
|
1201 |
"\n", |
|
|
1202 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1203 |
"For fold 7:\n", |
|
|
1204 |
"Accuracy: 0.7046768260641093\n", |
|
|
1205 |
"f-score: 0.7046768260641093\n", |
|
|
1206 |
" pre rec spe f1 geo iba sup\n", |
|
|
1207 |
"\n", |
|
|
1208 |
" 1 0.46 0.49 0.94 0.48 0.68 0.44 853\n", |
|
|
1209 |
" 2 0.80 0.88 0.48 0.84 0.65 0.44 6684\n", |
|
|
1210 |
" 3 0.33 0.26 0.92 0.29 0.49 0.23 1209\n", |
|
|
1211 |
" 4 0.29 0.10 0.98 0.15 0.32 0.09 769\n", |
|
|
1212 |
"\n", |
|
|
1213 |
"avg / total 0.67 0.70 0.62 0.68 0.61 0.38 9515\n", |
|
|
1214 |
"\n", |
|
|
1215 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1216 |
"For fold 8:\n", |
|
|
1217 |
"Accuracy: 0.711823436678928\n", |
|
|
1218 |
"f-score: 0.711823436678928\n", |
|
|
1219 |
" pre rec spe f1 geo iba sup\n", |
|
|
1220 |
"\n", |
|
|
1221 |
" 1 0.55 0.46 0.96 0.50 0.67 0.42 933\n", |
|
|
1222 |
" 2 0.78 0.91 0.41 0.84 0.61 0.39 6645\n", |
|
|
1223 |
" 3 0.37 0.19 0.93 0.25 0.42 0.16 1675\n", |
|
|
1224 |
" 4 0.07 0.05 0.98 0.06 0.22 0.04 262\n", |
|
|
1225 |
"\n", |
|
|
1226 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
1227 |
"\n", |
|
|
1228 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1229 |
"For fold 9:\n", |
|
|
1230 |
"Accuracy: 0.6871978137481606\n", |
|
|
1231 |
"f-score: 0.6871978137481606\n", |
|
|
1232 |
" pre rec spe f1 geo iba sup\n", |
|
|
1233 |
"\n", |
|
|
1234 |
" 1 0.51 0.55 0.94 0.53 0.71 0.49 1031\n", |
|
|
1235 |
" 2 0.79 0.87 0.51 0.83 0.67 0.46 6399\n", |
|
|
1236 |
" 3 0.35 0.22 0.93 0.27 0.45 0.19 1495\n", |
|
|
1237 |
" 4 0.19 0.13 0.96 0.15 0.35 0.11 589\n", |
|
|
1238 |
"\n", |
|
|
1239 |
"avg / total 0.65 0.69 0.65 0.66 0.62 0.40 9514\n", |
|
|
1240 |
"\n", |
|
|
1241 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1242 |
"For fold 10:\n", |
|
|
1243 |
"Accuracy: 0.6958166911919277\n", |
|
|
1244 |
"f-score: 0.6958166911919277\n", |
|
|
1245 |
" pre rec spe f1 geo iba sup\n", |
|
|
1246 |
"\n", |
|
|
1247 |
" 1 0.52 0.60 0.93 0.56 0.74 0.53 1157\n", |
|
|
1248 |
" 2 0.81 0.85 0.56 0.83 0.69 0.49 6600\n", |
|
|
1249 |
" 3 0.29 0.23 0.92 0.26 0.46 0.20 1156\n", |
|
|
1250 |
" 4 0.13 0.08 0.96 0.10 0.27 0.07 601\n", |
|
|
1251 |
"\n", |
|
|
1252 |
"avg / total 0.67 0.70 0.67 0.68 0.64 0.43 9514\n", |
|
|
1253 |
"\n", |
|
|
1254 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
1255 |
"For fold 1:\n", |
|
|
1256 |
"Accuracy: 0.7193904361534419\n", |
|
|
1257 |
"f-score: 0.7193904361534419\n", |
|
|
1258 |
" pre rec spe f1 geo iba sup\n", |
|
|
1259 |
"\n", |
|
|
1260 |
" 1 0.41 0.47 0.95 0.44 0.67 0.43 642\n", |
|
|
1261 |
" 2 0.79 0.91 0.40 0.85 0.60 0.38 6776\n", |
|
|
1262 |
" 3 0.45 0.20 0.95 0.28 0.44 0.18 1716\n", |
|
|
1263 |
" 4 0.16 0.09 0.98 0.12 0.30 0.08 381\n", |
|
|
1264 |
"\n", |
|
|
1265 |
"avg / total 0.68 0.72 0.56 0.69 0.57 0.34 9515\n", |
|
|
1266 |
"\n", |
|
|
1267 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1268 |
"For fold 2:\n", |
|
|
1269 |
"Accuracy: 0.7104571728849185\n", |
|
|
1270 |
"f-score: 0.7104571728849185\n", |
|
|
1271 |
" pre rec spe f1 geo iba sup\n", |
|
|
1272 |
"\n", |
|
|
1273 |
" 1 0.48 0.54 0.93 0.51 0.71 0.49 974\n", |
|
|
1274 |
" 2 0.88 0.80 0.59 0.84 0.68 0.48 7520\n", |
|
|
1275 |
" 3 0.17 0.32 0.87 0.22 0.53 0.26 697\n", |
|
|
1276 |
" 4 0.08 0.07 0.97 0.07 0.26 0.06 324\n", |
|
|
1277 |
"\n", |
|
|
1278 |
"avg / total 0.76 0.71 0.66 0.73 0.66 0.45 9515\n", |
|
|
1279 |
"\n", |
|
|
1280 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1281 |
"For fold 3:\n", |
|
|
1282 |
"Accuracy: 0.7130846032580137\n", |
|
|
1283 |
"f-score: 0.7130846032580137\n", |
|
|
1284 |
" pre rec spe f1 geo iba sup\n", |
|
|
1285 |
"\n", |
|
|
1286 |
" 1 0.57 0.60 0.93 0.59 0.75 0.54 1247\n", |
|
|
1287 |
" 2 0.81 0.87 0.54 0.84 0.68 0.48 6585\n", |
|
|
1288 |
" 3 0.33 0.22 0.92 0.27 0.45 0.19 1462\n", |
|
|
1289 |
" 4 0.10 0.09 0.98 0.10 0.30 0.08 221\n", |
|
|
1290 |
"\n", |
|
|
1291 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.43 9515\n", |
|
|
1292 |
"\n", |
|
|
1293 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1294 |
"For fold 4:\n", |
|
|
1295 |
"Accuracy: 0.6694692590646348\n", |
|
|
1296 |
"f-score: 0.6694692590646348\n", |
|
|
1297 |
" pre rec spe f1 geo iba sup\n", |
|
|
1298 |
"\n", |
|
|
1299 |
" 1 0.49 0.60 0.92 0.54 0.74 0.53 1129\n", |
|
|
1300 |
" 2 0.78 0.84 0.52 0.81 0.66 0.45 6348\n", |
|
|
1301 |
" 3 0.30 0.20 0.93 0.24 0.43 0.17 1285\n", |
|
|
1302 |
" 4 0.20 0.10 0.96 0.14 0.32 0.09 753\n", |
|
|
1303 |
"\n", |
|
|
1304 |
"avg / total 0.63 0.67 0.66 0.65 0.61 0.40 9515\n", |
|
|
1305 |
"\n", |
|
|
1306 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1307 |
"For fold 5:\n", |
|
|
1308 |
"Accuracy: 0.6890173410404624\n", |
|
|
1309 |
"f-score: 0.6890173410404624\n", |
|
|
1310 |
" pre rec spe f1 geo iba sup\n", |
|
|
1311 |
"\n", |
|
|
1312 |
" 1 0.51 0.57 0.93 0.54 0.73 0.51 1085\n", |
|
|
1313 |
" 2 0.79 0.87 0.50 0.82 0.66 0.45 6437\n", |
|
|
1314 |
" 3 0.41 0.19 0.94 0.26 0.42 0.16 1657\n", |
|
|
1315 |
" 4 0.10 0.14 0.96 0.12 0.36 0.12 336\n", |
|
|
1316 |
"\n", |
|
|
1317 |
"avg / total 0.66 0.69 0.64 0.67 0.62 0.40 9515\n", |
|
|
1318 |
"\n", |
|
|
1319 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1320 |
"For fold 6:\n", |
|
|
1321 |
"Accuracy: 0.6895428271150814\n", |
|
|
1322 |
"f-score: 0.6895428271150814\n", |
|
|
1323 |
" pre rec spe f1 geo iba sup\n", |
|
|
1324 |
"\n", |
|
|
1325 |
" 1 0.42 0.55 0.93 0.48 0.72 0.50 785\n", |
|
|
1326 |
" 2 0.76 0.91 0.47 0.83 0.65 0.44 6224\n", |
|
|
1327 |
" 3 0.52 0.22 0.95 0.31 0.45 0.19 2026\n", |
|
|
1328 |
" 4 0.19 0.10 0.98 0.13 0.31 0.09 480\n", |
|
|
1329 |
"\n", |
|
|
1330 |
"avg / total 0.66 0.69 0.63 0.65 0.60 0.38 9515\n", |
|
|
1331 |
"\n", |
|
|
1332 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1333 |
"For fold 7:\n", |
|
|
1334 |
"Accuracy: 0.6986862848134524\n", |
|
|
1335 |
"f-score: 0.6986862848134524\n", |
|
|
1336 |
" pre rec spe f1 geo iba sup\n", |
|
|
1337 |
"\n", |
|
|
1338 |
" 1 0.46 0.51 0.94 0.48 0.69 0.46 853\n", |
|
|
1339 |
" 2 0.80 0.87 0.48 0.83 0.65 0.44 6684\n", |
|
|
1340 |
" 3 0.32 0.26 0.92 0.29 0.49 0.23 1209\n", |
|
|
1341 |
" 4 0.23 0.09 0.97 0.13 0.30 0.08 769\n", |
|
|
1342 |
"\n", |
|
|
1343 |
"avg / total 0.66 0.70 0.62 0.68 0.60 0.38 9515\n", |
|
|
1344 |
"\n", |
|
|
1345 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1346 |
"For fold 8:\n", |
|
|
1347 |
"Accuracy: 0.7104571728849185\n", |
|
|
1348 |
"f-score: 0.7104571728849185\n", |
|
|
1349 |
" pre rec spe f1 geo iba sup\n", |
|
|
1350 |
"\n", |
|
|
1351 |
" 1 0.55 0.47 0.96 0.51 0.67 0.43 933\n", |
|
|
1352 |
" 2 0.78 0.90 0.41 0.83 0.61 0.38 6645\n", |
|
|
1353 |
" 3 0.39 0.19 0.93 0.26 0.42 0.17 1675\n", |
|
|
1354 |
" 4 0.11 0.08 0.98 0.09 0.29 0.07 262\n", |
|
|
1355 |
"\n", |
|
|
1356 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
1357 |
"\n", |
|
|
1358 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1359 |
"For fold 9:\n", |
|
|
1360 |
"Accuracy: 0.6823628337187303\n", |
|
|
1361 |
"f-score: 0.6823628337187303\n", |
|
|
1362 |
" pre rec spe f1 geo iba sup\n", |
|
|
1363 |
"\n", |
|
|
1364 |
" 1 0.51 0.53 0.94 0.52 0.71 0.48 1031\n", |
|
|
1365 |
" 2 0.79 0.86 0.53 0.82 0.67 0.47 6399\n", |
|
|
1366 |
" 3 0.33 0.22 0.92 0.26 0.45 0.19 1495\n", |
|
|
1367 |
" 4 0.20 0.16 0.96 0.17 0.39 0.14 589\n", |
|
|
1368 |
"\n", |
|
|
1369 |
"avg / total 0.65 0.68 0.66 0.66 0.62 0.41 9514\n", |
|
|
1370 |
"\n", |
|
|
1371 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1372 |
"For fold 10:\n", |
|
|
1373 |
"Accuracy: 0.6949758250998529\n", |
|
|
1374 |
"f-score: 0.6949758250998529\n", |
|
|
1375 |
" pre rec spe f1 geo iba sup\n", |
|
|
1376 |
"\n", |
|
|
1377 |
" 1 0.49 0.60 0.91 0.54 0.74 0.53 1157\n", |
|
|
1378 |
" 2 0.81 0.85 0.56 0.83 0.69 0.49 6600\n", |
|
|
1379 |
" 3 0.29 0.21 0.93 0.24 0.44 0.18 1156\n", |
|
|
1380 |
" 4 0.16 0.10 0.96 0.12 0.31 0.09 601\n", |
|
|
1381 |
"\n", |
|
|
1382 |
"avg / total 0.67 0.69 0.67 0.68 0.64 0.43 9514\n", |
|
|
1383 |
"\n", |
|
|
1384 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
1385 |
"For fold 1:\n", |
|
|
1386 |
"Accuracy: 0.7212821860220704\n", |
|
|
1387 |
"f-score: 0.7212821860220704\n", |
|
|
1388 |
" pre rec spe f1 geo iba sup\n", |
|
|
1389 |
"\n", |
|
|
1390 |
" 1 0.42 0.51 0.95 0.46 0.70 0.46 642\n", |
|
|
1391 |
" 2 0.79 0.91 0.41 0.85 0.61 0.39 6776\n", |
|
|
1392 |
" 3 0.47 0.19 0.95 0.27 0.43 0.17 1716\n", |
|
|
1393 |
" 4 0.17 0.10 0.98 0.13 0.32 0.09 381\n", |
|
|
1394 |
"\n", |
|
|
1395 |
"avg / total 0.68 0.72 0.56 0.69 0.57 0.34 9515\n", |
|
|
1396 |
"\n", |
|
|
1397 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1398 |
"For fold 2:\n", |
|
|
1399 |
"Accuracy: 0.7012086179716237\n", |
|
|
1400 |
"f-score: 0.7012086179716237\n", |
|
|
1401 |
" pre rec spe f1 geo iba sup\n", |
|
|
1402 |
"\n", |
|
|
1403 |
" 1 0.47 0.53 0.93 0.50 0.70 0.47 974\n", |
|
|
1404 |
" 2 0.88 0.79 0.59 0.83 0.68 0.47 7520\n", |
|
|
1405 |
" 3 0.15 0.30 0.87 0.20 0.51 0.24 697\n", |
|
|
1406 |
" 4 0.06 0.06 0.97 0.06 0.24 0.05 324\n", |
|
|
1407 |
"\n", |
|
|
1408 |
"avg / total 0.76 0.70 0.66 0.72 0.66 0.44 9515\n", |
|
|
1409 |
"\n", |
|
|
1410 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1411 |
"For fold 3:\n", |
|
|
1412 |
"Accuracy: 0.7096163951655281\n", |
|
|
1413 |
"f-score: 0.7096163951655281\n", |
|
|
1414 |
" pre rec spe f1 geo iba sup\n", |
|
|
1415 |
"\n", |
|
|
1416 |
" 1 0.58 0.58 0.94 0.58 0.74 0.53 1247\n", |
|
|
1417 |
" 2 0.81 0.86 0.54 0.83 0.68 0.48 6585\n", |
|
|
1418 |
" 3 0.32 0.23 0.91 0.27 0.46 0.20 1462\n", |
|
|
1419 |
" 4 0.09 0.07 0.98 0.08 0.27 0.06 221\n", |
|
|
1420 |
"\n", |
|
|
1421 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.44 9515\n", |
|
|
1422 |
"\n", |
|
|
1423 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1424 |
"For fold 4:\n", |
|
|
1425 |
"Accuracy: 0.6687335785601681\n", |
|
|
1426 |
"f-score: 0.6687335785601681\n", |
|
|
1427 |
" pre rec spe f1 geo iba sup\n", |
|
|
1428 |
"\n", |
|
|
1429 |
" 1 0.48 0.59 0.91 0.53 0.73 0.52 1129\n", |
|
|
1430 |
" 2 0.78 0.85 0.52 0.81 0.66 0.45 6348\n", |
|
|
1431 |
" 3 0.30 0.18 0.93 0.23 0.41 0.16 1285\n", |
|
|
1432 |
" 4 0.20 0.12 0.96 0.15 0.35 0.11 753\n", |
|
|
1433 |
"\n", |
|
|
1434 |
"avg / total 0.63 0.67 0.66 0.65 0.61 0.39 9515\n", |
|
|
1435 |
"\n", |
|
|
1436 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1437 |
"For fold 5:\n", |
|
|
1438 |
"Accuracy: 0.6735680504466631\n", |
|
|
1439 |
"f-score: 0.6735680504466631\n", |
|
|
1440 |
" pre rec spe f1 geo iba sup\n", |
|
|
1441 |
"\n", |
|
|
1442 |
" 1 0.49 0.55 0.93 0.52 0.71 0.49 1085\n", |
|
|
1443 |
" 2 0.79 0.84 0.53 0.81 0.67 0.46 6437\n", |
|
|
1444 |
" 3 0.38 0.22 0.92 0.28 0.45 0.19 1657\n", |
|
|
1445 |
" 4 0.10 0.15 0.95 0.12 0.38 0.13 336\n", |
|
|
1446 |
"\n", |
|
|
1447 |
"avg / total 0.66 0.67 0.66 0.66 0.62 0.40 9515\n", |
|
|
1448 |
"\n", |
|
|
1449 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1450 |
"For fold 6:\n", |
|
|
1451 |
"Accuracy: 0.6888071466106148\n", |
|
|
1452 |
"f-score: 0.6888071466106148\n", |
|
|
1453 |
" pre rec spe f1 geo iba sup\n", |
|
|
1454 |
"\n", |
|
|
1455 |
" 1 0.42 0.53 0.93 0.47 0.71 0.48 785\n", |
|
|
1456 |
" 2 0.76 0.91 0.46 0.83 0.65 0.44 6224\n", |
|
|
1457 |
" 3 0.52 0.23 0.94 0.32 0.46 0.20 2026\n", |
|
|
1458 |
" 4 0.16 0.07 0.98 0.10 0.27 0.07 480\n", |
|
|
1459 |
"\n", |
|
|
1460 |
"avg / total 0.65 0.69 0.63 0.65 0.59 0.37 9515\n", |
|
|
1461 |
"\n", |
|
|
1462 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1463 |
"For fold 7:\n", |
|
|
1464 |
"Accuracy: 0.7138202837624803\n", |
|
|
1465 |
"f-score: 0.7138202837624804\n", |
|
|
1466 |
" pre rec spe f1 geo iba sup\n", |
|
|
1467 |
"\n", |
|
|
1468 |
" 1 0.48 0.51 0.95 0.50 0.69 0.46 853\n", |
|
|
1469 |
" 2 0.80 0.90 0.46 0.84 0.64 0.43 6684\n", |
|
|
1470 |
" 3 0.35 0.26 0.93 0.29 0.49 0.22 1209\n", |
|
|
1471 |
" 4 0.29 0.08 0.98 0.13 0.29 0.08 769\n", |
|
|
1472 |
"\n", |
|
|
1473 |
"avg / total 0.67 0.71 0.61 0.69 0.60 0.38 9515\n", |
|
|
1474 |
"\n", |
|
|
1475 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1476 |
"For fold 8:\n", |
|
|
1477 |
"Accuracy: 0.7114030478192328\n", |
|
|
1478 |
"f-score: 0.7114030478192328\n", |
|
|
1479 |
" pre rec spe f1 geo iba sup\n", |
|
|
1480 |
"\n", |
|
|
1481 |
" 1 0.55 0.45 0.96 0.50 0.66 0.41 933\n", |
|
|
1482 |
" 2 0.78 0.90 0.41 0.84 0.61 0.39 6645\n", |
|
|
1483 |
" 3 0.40 0.22 0.93 0.28 0.45 0.19 1675\n", |
|
|
1484 |
" 4 0.07 0.05 0.98 0.06 0.21 0.04 262\n", |
|
|
1485 |
"\n", |
|
|
1486 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
1487 |
"\n", |
|
|
1488 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1489 |
"For fold 9:\n", |
|
|
1490 |
"Accuracy: 0.684359890687408\n", |
|
|
1491 |
"f-score: 0.684359890687408\n", |
|
|
1492 |
" pre rec spe f1 geo iba sup\n", |
|
|
1493 |
"\n", |
|
|
1494 |
" 1 0.50 0.53 0.94 0.52 0.71 0.48 1031\n", |
|
|
1495 |
" 2 0.79 0.87 0.52 0.83 0.67 0.46 6399\n", |
|
|
1496 |
" 3 0.36 0.23 0.92 0.28 0.46 0.19 1495\n", |
|
|
1497 |
" 4 0.18 0.13 0.96 0.15 0.35 0.11 589\n", |
|
|
1498 |
"\n", |
|
|
1499 |
"avg / total 0.65 0.68 0.65 0.66 0.62 0.40 9514\n", |
|
|
1500 |
"\n", |
|
|
1501 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1502 |
"For fold 10:\n", |
|
|
1503 |
"Accuracy: 0.6882488963632541\n", |
|
|
1504 |
"f-score: 0.6882488963632541\n", |
|
|
1505 |
" pre rec spe f1 geo iba sup\n", |
|
|
1506 |
"\n", |
|
|
1507 |
" 1 0.52 0.62 0.92 0.56 0.75 0.55 1157\n", |
|
|
1508 |
" 2 0.81 0.83 0.57 0.82 0.69 0.49 6600\n", |
|
|
1509 |
" 3 0.30 0.22 0.93 0.26 0.45 0.19 1156\n", |
|
|
1510 |
" 4 0.15 0.13 0.95 0.14 0.36 0.12 601\n", |
|
|
1511 |
"\n", |
|
|
1512 |
"avg / total 0.67 0.69 0.68 0.68 0.65 0.43 9514\n", |
|
|
1513 |
"\n", |
|
|
1514 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
1515 |
"For fold 1:\n", |
|
|
1516 |
"Accuracy: 0.7191802417235943\n", |
|
|
1517 |
"f-score: 0.7191802417235943\n", |
|
|
1518 |
" pre rec spe f1 geo iba sup\n", |
|
|
1519 |
"\n", |
|
|
1520 |
" 1 0.41 0.52 0.95 0.46 0.70 0.47 642\n", |
|
|
1521 |
" 2 0.79 0.90 0.41 0.84 0.61 0.39 6776\n", |
|
|
1522 |
" 3 0.47 0.20 0.95 0.28 0.43 0.17 1716\n", |
|
|
1523 |
" 4 0.17 0.11 0.98 0.13 0.32 0.10 381\n", |
|
|
1524 |
"\n", |
|
|
1525 |
"avg / total 0.68 0.72 0.57 0.69 0.57 0.34 9515\n", |
|
|
1526 |
"\n", |
|
|
1527 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1528 |
"For fold 2:\n", |
|
|
1529 |
"Accuracy: 0.7133998949027851\n", |
|
|
1530 |
"f-score: 0.7133998949027851\n", |
|
|
1531 |
" pre rec spe f1 geo iba sup\n", |
|
|
1532 |
"\n", |
|
|
1533 |
" 1 0.48 0.54 0.93 0.51 0.71 0.48 974\n", |
|
|
1534 |
" 2 0.88 0.80 0.58 0.84 0.69 0.48 7520\n", |
|
|
1535 |
" 3 0.16 0.29 0.88 0.21 0.51 0.24 697\n", |
|
|
1536 |
" 4 0.09 0.08 0.97 0.09 0.28 0.07 324\n", |
|
|
1537 |
"\n", |
|
|
1538 |
"avg / total 0.76 0.71 0.66 0.73 0.66 0.45 9515\n", |
|
|
1539 |
"\n", |
|
|
1540 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1541 |
"For fold 3:\n", |
|
|
1542 |
"Accuracy: 0.7060430898581188\n", |
|
|
1543 |
"f-score: 0.7060430898581188\n", |
|
|
1544 |
" pre rec spe f1 geo iba sup\n", |
|
|
1545 |
"\n", |
|
|
1546 |
" 1 0.57 0.59 0.93 0.58 0.74 0.53 1247\n", |
|
|
1547 |
" 2 0.81 0.85 0.55 0.83 0.68 0.48 6585\n", |
|
|
1548 |
" 3 0.33 0.24 0.91 0.28 0.47 0.20 1462\n", |
|
|
1549 |
" 4 0.08 0.08 0.98 0.08 0.27 0.07 221\n", |
|
|
1550 |
"\n", |
|
|
1551 |
"avg / total 0.69 0.71 0.66 0.69 0.65 0.44 9515\n", |
|
|
1552 |
"\n", |
|
|
1553 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1554 |
"For fold 4:\n", |
|
|
1555 |
"Accuracy: 0.6672622175512349\n", |
|
|
1556 |
"f-score: 0.6672622175512349\n", |
|
|
1557 |
" pre rec spe f1 geo iba sup\n", |
|
|
1558 |
"\n", |
|
|
1559 |
" 1 0.47 0.57 0.91 0.52 0.72 0.50 1129\n", |
|
|
1560 |
" 2 0.77 0.85 0.51 0.81 0.66 0.44 6348\n", |
|
|
1561 |
" 3 0.29 0.18 0.93 0.22 0.41 0.15 1285\n", |
|
|
1562 |
" 4 0.20 0.11 0.96 0.14 0.32 0.10 753\n", |
|
|
1563 |
"\n", |
|
|
1564 |
"avg / total 0.63 0.67 0.65 0.64 0.60 0.38 9515\n", |
|
|
1565 |
"\n", |
|
|
1566 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1567 |
"For fold 5:\n", |
|
|
1568 |
"Accuracy: 0.6905937992643195\n", |
|
|
1569 |
"f-score: 0.6905937992643195\n", |
|
|
1570 |
" pre rec spe f1 geo iba sup\n", |
|
|
1571 |
"\n", |
|
|
1572 |
" 1 0.52 0.54 0.94 0.53 0.71 0.49 1085\n", |
|
|
1573 |
" 2 0.79 0.87 0.50 0.83 0.66 0.45 6437\n", |
|
|
1574 |
" 3 0.43 0.21 0.94 0.28 0.44 0.18 1657\n", |
|
|
1575 |
" 4 0.11 0.15 0.95 0.12 0.37 0.13 336\n", |
|
|
1576 |
"\n", |
|
|
1577 |
"avg / total 0.67 0.69 0.65 0.67 0.62 0.40 9515\n", |
|
|
1578 |
"\n", |
|
|
1579 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1580 |
"For fold 6:\n", |
|
|
1581 |
"Accuracy: 0.687651077246453\n", |
|
|
1582 |
"f-score: 0.687651077246453\n", |
|
|
1583 |
" pre rec spe f1 geo iba sup\n", |
|
|
1584 |
"\n", |
|
|
1585 |
" 1 0.42 0.53 0.93 0.47 0.71 0.48 785\n", |
|
|
1586 |
" 2 0.76 0.90 0.46 0.83 0.65 0.43 6224\n", |
|
|
1587 |
" 3 0.52 0.23 0.94 0.32 0.47 0.20 2026\n", |
|
|
1588 |
" 4 0.16 0.08 0.98 0.10 0.27 0.07 480\n", |
|
|
1589 |
"\n", |
|
|
1590 |
"avg / total 0.65 0.69 0.63 0.65 0.59 0.37 9515\n", |
|
|
1591 |
"\n", |
|
|
1592 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1593 |
"For fold 7:\n", |
|
|
1594 |
"Accuracy: 0.7031003678402522\n", |
|
|
1595 |
"f-score: 0.7031003678402522\n", |
|
|
1596 |
" pre rec spe f1 geo iba sup\n", |
|
|
1597 |
"\n", |
|
|
1598 |
" 1 0.47 0.53 0.94 0.50 0.70 0.47 853\n", |
|
|
1599 |
" 2 0.80 0.87 0.49 0.84 0.66 0.45 6684\n", |
|
|
1600 |
" 3 0.33 0.27 0.92 0.29 0.49 0.23 1209\n", |
|
|
1601 |
" 4 0.28 0.11 0.97 0.16 0.33 0.10 769\n", |
|
|
1602 |
"\n", |
|
|
1603 |
"avg / total 0.67 0.70 0.63 0.68 0.61 0.39 9515\n", |
|
|
1604 |
"\n", |
|
|
1605 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1606 |
"For fold 8:\n", |
|
|
1607 |
"Accuracy: 0.7104571728849185\n", |
|
|
1608 |
"f-score: 0.7104571728849185\n", |
|
|
1609 |
" pre rec spe f1 geo iba sup\n", |
|
|
1610 |
"\n", |
|
|
1611 |
" 1 0.53 0.45 0.96 0.49 0.66 0.41 933\n", |
|
|
1612 |
" 2 0.78 0.90 0.40 0.84 0.60 0.38 6645\n", |
|
|
1613 |
" 3 0.40 0.19 0.94 0.26 0.42 0.16 1675\n", |
|
|
1614 |
" 4 0.11 0.09 0.98 0.10 0.29 0.08 262\n", |
|
|
1615 |
"\n", |
|
|
1616 |
"avg / total 0.67 0.71 0.57 0.68 0.57 0.34 9515\n", |
|
|
1617 |
"\n", |
|
|
1618 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1619 |
"For fold 9:\n", |
|
|
1620 |
"Accuracy: 0.6803657767500526\n", |
|
|
1621 |
"f-score: 0.6803657767500526\n", |
|
|
1622 |
" pre rec spe f1 geo iba sup\n", |
|
|
1623 |
"\n", |
|
|
1624 |
" 1 0.51 0.55 0.94 0.53 0.72 0.49 1031\n", |
|
|
1625 |
" 2 0.79 0.86 0.53 0.82 0.67 0.47 6399\n", |
|
|
1626 |
" 3 0.32 0.22 0.91 0.26 0.45 0.19 1495\n", |
|
|
1627 |
" 4 0.20 0.14 0.96 0.16 0.36 0.12 589\n", |
|
|
1628 |
"\n", |
|
|
1629 |
"avg / total 0.65 0.68 0.66 0.66 0.62 0.40 9514\n", |
|
|
1630 |
"\n", |
|
|
1631 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1632 |
"For fold 10:\n", |
|
|
1633 |
"Accuracy: 0.6965524490224931\n", |
|
|
1634 |
"f-score: 0.6965524490224931\n", |
|
|
1635 |
" pre rec spe f1 geo iba sup\n", |
|
|
1636 |
"\n", |
|
|
1637 |
" 1 0.51 0.60 0.92 0.55 0.74 0.54 1157\n", |
|
|
1638 |
" 2 0.81 0.85 0.55 0.83 0.69 0.48 6600\n", |
|
|
1639 |
" 3 0.31 0.22 0.93 0.25 0.45 0.19 1156\n", |
|
|
1640 |
" 4 0.16 0.11 0.96 0.13 0.33 0.10 601\n", |
|
|
1641 |
"\n", |
|
|
1642 |
"avg / total 0.67 0.70 0.67 0.68 0.64 0.43 9514\n", |
|
|
1643 |
"\n", |
|
|
1644 |
"[(1, 59442), (2, 59442), (3, 59442), (4, 59442)]\n", |
|
|
1645 |
"For fold 1:\n", |
|
|
1646 |
"Accuracy: 0.7225433526011561\n", |
|
|
1647 |
"f-score: 0.7225433526011561\n", |
|
|
1648 |
" pre rec spe f1 geo iba sup\n", |
|
|
1649 |
"\n", |
|
|
1650 |
" 1 0.41 0.50 0.95 0.45 0.69 0.45 642\n", |
|
|
1651 |
" 2 0.79 0.91 0.41 0.85 0.61 0.39 6776\n", |
|
|
1652 |
" 3 0.47 0.19 0.95 0.27 0.43 0.17 1716\n", |
|
|
1653 |
" 4 0.19 0.12 0.98 0.14 0.34 0.10 381\n", |
|
|
1654 |
"\n", |
|
|
1655 |
"avg / total 0.68 0.72 0.56 0.69 0.57 0.34 9515\n", |
|
|
1656 |
"\n", |
|
|
1657 |
"[(1, 58698), (2, 58698), (3, 58698), (4, 58698)]\n", |
|
|
1658 |
"For fold 2:\n", |
|
|
1659 |
"Accuracy: 0.7017341040462428\n", |
|
|
1660 |
"f-score: 0.7017341040462428\n", |
|
|
1661 |
" pre rec spe f1 geo iba sup\n", |
|
|
1662 |
"\n", |
|
|
1663 |
" 1 0.46 0.52 0.93 0.49 0.70 0.47 974\n", |
|
|
1664 |
" 2 0.88 0.79 0.58 0.83 0.68 0.47 7520\n", |
|
|
1665 |
" 3 0.16 0.31 0.87 0.21 0.52 0.26 697\n", |
|
|
1666 |
" 4 0.06 0.06 0.97 0.06 0.23 0.05 324\n", |
|
|
1667 |
"\n", |
|
|
1668 |
"avg / total 0.75 0.70 0.65 0.72 0.65 0.44 9515\n", |
|
|
1669 |
"\n", |
|
|
1670 |
"[(1, 59633), (2, 59633), (3, 59633), (4, 59633)]\n", |
|
|
1671 |
"For fold 3:\n", |
|
|
1672 |
"Accuracy: 0.7066736731476616\n", |
|
|
1673 |
"f-score: 0.7066736731476616\n", |
|
|
1674 |
" pre rec spe f1 geo iba sup\n", |
|
|
1675 |
"\n", |
|
|
1676 |
" 1 0.58 0.58 0.94 0.58 0.73 0.52 1247\n", |
|
|
1677 |
" 2 0.81 0.86 0.54 0.83 0.68 0.48 6585\n", |
|
|
1678 |
" 3 0.33 0.24 0.91 0.28 0.47 0.20 1462\n", |
|
|
1679 |
" 4 0.10 0.10 0.98 0.10 0.31 0.09 221\n", |
|
|
1680 |
"\n", |
|
|
1681 |
"avg / total 0.69 0.71 0.66 0.70 0.65 0.43 9515\n", |
|
|
1682 |
"\n", |
|
|
1683 |
"[(1, 59870), (2, 59870), (3, 59870), (4, 59870)]\n", |
|
|
1684 |
"For fold 4:\n", |
|
|
1685 |
"Accuracy: 0.6660010509721492\n", |
|
|
1686 |
"f-score: 0.6660010509721492\n", |
|
|
1687 |
" pre rec spe f1 geo iba sup\n", |
|
|
1688 |
"\n", |
|
|
1689 |
" 1 0.48 0.59 0.91 0.53 0.74 0.53 1129\n", |
|
|
1690 |
" 2 0.78 0.84 0.52 0.81 0.66 0.45 6348\n", |
|
|
1691 |
" 3 0.29 0.18 0.93 0.22 0.41 0.15 1285\n", |
|
|
1692 |
" 4 0.18 0.11 0.96 0.14 0.32 0.10 753\n", |
|
|
1693 |
"\n", |
|
|
1694 |
"avg / total 0.63 0.67 0.66 0.64 0.61 0.39 9515\n", |
|
|
1695 |
"\n", |
|
|
1696 |
"[(1, 59781), (2, 59781), (3, 59781), (4, 59781)]\n", |
|
|
1697 |
"For fold 5:\n", |
|
|
1698 |
"Accuracy: 0.6910141881240147\n", |
|
|
1699 |
"f-score: 0.6910141881240147\n", |
|
|
1700 |
" pre rec spe f1 geo iba sup\n", |
|
|
1701 |
"\n", |
|
|
1702 |
" 1 0.52 0.53 0.94 0.53 0.71 0.48 1085\n", |
|
|
1703 |
" 2 0.78 0.88 0.49 0.83 0.66 0.45 6437\n", |
|
|
1704 |
" 3 0.40 0.19 0.94 0.26 0.42 0.16 1657\n", |
|
|
1705 |
" 4 0.09 0.11 0.96 0.10 0.32 0.10 336\n", |
|
|
1706 |
"\n", |
|
|
1707 |
"avg / total 0.66 0.69 0.64 0.67 0.61 0.39 9515\n", |
|
|
1708 |
"\n", |
|
|
1709 |
"[(1, 59994), (2, 59994), (3, 59994), (4, 59994)]\n", |
|
|
1710 |
"For fold 6:\n", |
|
|
1711 |
"Accuracy: 0.6917498686284813\n", |
|
|
1712 |
"f-score: 0.6917498686284813\n", |
|
|
1713 |
" pre rec spe f1 geo iba sup\n", |
|
|
1714 |
"\n", |
|
|
1715 |
" 1 0.44 0.56 0.94 0.49 0.72 0.50 785\n", |
|
|
1716 |
" 2 0.76 0.90 0.47 0.83 0.65 0.44 6224\n", |
|
|
1717 |
" 3 0.53 0.25 0.94 0.34 0.48 0.22 2026\n", |
|
|
1718 |
" 4 0.17 0.08 0.98 0.11 0.29 0.07 480\n", |
|
|
1719 |
"\n", |
|
|
1720 |
"avg / total 0.66 0.69 0.64 0.66 0.60 0.38 9515\n", |
|
|
1721 |
"\n", |
|
|
1722 |
"[(1, 59534), (2, 59534), (3, 59534), (4, 59534)]\n", |
|
|
1723 |
"For fold 7:\n", |
|
|
1724 |
"Accuracy: 0.7042564372044141\n", |
|
|
1725 |
"f-score: 0.7042564372044141\n", |
|
|
1726 |
" pre rec spe f1 geo iba sup\n", |
|
|
1727 |
"\n", |
|
|
1728 |
" 1 0.46 0.52 0.94 0.49 0.70 0.47 853\n", |
|
|
1729 |
" 2 0.80 0.87 0.50 0.84 0.66 0.45 6684\n", |
|
|
1730 |
" 3 0.34 0.29 0.92 0.31 0.51 0.25 1209\n", |
|
|
1731 |
" 4 0.30 0.11 0.98 0.16 0.33 0.10 769\n", |
|
|
1732 |
"\n", |
|
|
1733 |
"avg / total 0.67 0.70 0.63 0.68 0.62 0.40 9515\n", |
|
|
1734 |
"\n", |
|
|
1735 |
"[(1, 59573), (2, 59573), (3, 59573), (4, 59573)]\n", |
|
|
1736 |
"For fold 8:\n", |
|
|
1737 |
"Accuracy: 0.7128744088281661\n", |
|
|
1738 |
"f-score: 0.7128744088281661\n", |
|
|
1739 |
" pre rec spe f1 geo iba sup\n", |
|
|
1740 |
"\n", |
|
|
1741 |
" 1 0.57 0.46 0.96 0.51 0.67 0.42 933\n", |
|
|
1742 |
" 2 0.78 0.90 0.42 0.84 0.61 0.39 6645\n", |
|
|
1743 |
" 3 0.38 0.22 0.92 0.27 0.45 0.19 1675\n", |
|
|
1744 |
" 4 0.12 0.07 0.98 0.09 0.27 0.06 262\n", |
|
|
1745 |
"\n", |
|
|
1746 |
"avg / total 0.67 0.71 0.58 0.68 0.58 0.35 9515\n", |
|
|
1747 |
"\n", |
|
|
1748 |
"[(1, 59819), (2, 59819), (3, 59819), (4, 59819)]\n", |
|
|
1749 |
"For fold 9:\n", |
|
|
1750 |
"Accuracy: 0.6898255202858945\n", |
|
|
1751 |
"f-score: 0.6898255202858945\n", |
|
|
1752 |
" pre rec spe f1 geo iba sup\n", |
|
|
1753 |
"\n", |
|
|
1754 |
" 1 0.51 0.54 0.94 0.53 0.71 0.49 1031\n", |
|
|
1755 |
" 2 0.79 0.87 0.51 0.83 0.67 0.46 6399\n", |
|
|
1756 |
" 3 0.35 0.21 0.93 0.27 0.45 0.18 1495\n", |
|
|
1757 |
" 4 0.22 0.15 0.97 0.18 0.38 0.13 589\n", |
|
|
1758 |
"\n", |
|
|
1759 |
"avg / total 0.65 0.69 0.65 0.67 0.62 0.40 9514\n", |
|
|
1760 |
"\n", |
|
|
1761 |
"[(1, 59618), (2, 59618), (3, 59618), (4, 59618)]\n", |
|
|
1762 |
"For fold 10:\n", |
|
|
1763 |
"Accuracy: 0.6950809333613622\n", |
|
|
1764 |
"f-score: 0.6950809333613622\n", |
|
|
1765 |
" pre rec spe f1 geo iba sup\n", |
|
|
1766 |
"\n", |
|
|
1767 |
" 1 0.52 0.60 0.92 0.56 0.75 0.54 1157\n", |
|
|
1768 |
" 2 0.81 0.85 0.56 0.83 0.69 0.49 6600\n", |
|
|
1769 |
" 3 0.28 0.21 0.93 0.24 0.44 0.18 1156\n", |
|
|
1770 |
" 4 0.18 0.13 0.96 0.15 0.35 0.11 601\n", |
|
|
1771 |
"\n", |
|
|
1772 |
"avg / total 0.67 0.70 0.67 0.68 0.64 0.43 9514\n", |
|
|
1773 |
"\n" |
|
|
1774 |
] |
|
|
1775 |
}, |
|
|
1776 |
{ |
|
|
1777 |
"data": { |
|
|
1778 |
"text/plain": [ |
|
|
1779 |
"<Figure size 576x396 with 0 Axes>" |
|
|
1780 |
] |
|
|
1781 |
}, |
|
|
1782 |
"metadata": {}, |
|
|
1783 |
"output_type": "display_data" |
|
|
1784 |
} |
|
|
1785 |
], |
|
|
1786 |
"source": [ |
|
|
1787 |
"from sklearn.model_selection import KFold\n", |
|
|
1788 |
"from sklearn import preprocessing\n", |
|
|
1789 |
"from imblearn.over_sampling import SMOTENC\n", |
|
|
1790 |
"from sklearn.metrics import f1_score\n", |
|
|
1791 |
"from imblearn.metrics import classification_report_imbalanced\n", |
|
|
1792 |
"from yellowbrick.classifier import ROCAUC\n", |
|
|
1793 |
"# explicitly require this experimental feature\n", |
|
|
1794 |
"from sklearn.experimental import enable_iterative_imputer # noqa\n", |
|
|
1795 |
"# now you can import normally from sklearn.impute\n", |
|
|
1796 |
"from sklearn.impute import IterativeImputer\n", |
|
|
1797 |
"from sklearn.linear_model import LogisticRegression\n", |
|
|
1798 |
"from numpy import loadtxt\n", |
|
|
1799 |
"import os\n", |
|
|
1800 |
"os.environ['KMP_DUPLICATE_LIB_OK']='True'\n", |
|
|
1801 |
"from xgboost import XGBClassifier\n", |
|
|
1802 |
"from sklearn.model_selection import train_test_split\n", |
|
|
1803 |
"from sklearn.metrics import accuracy_score\n", |
|
|
1804 |
"import io \n", |
|
|
1805 |
"\n", |
|
|
1806 |
"classes=['Death','Home','Nursing Home','Rehabilitation']\n", |
|
|
1807 |
"\n", |
|
|
1808 |
"\n", |
|
|
1809 |
"\n", |
|
|
1810 |
"kf = KFold(n_splits=10)\n", |
|
|
1811 |
"\n", |
|
|
1812 |
"\n", |
|
|
1813 |
"for i in range (1,11):\n", |
|
|
1814 |
"\n", |
|
|
1815 |
" for fold, (train_index, test_index) in enumerate(kf.split(X), 1):\n", |
|
|
1816 |
" X_train = X.iloc[train_index]\n", |
|
|
1817 |
" y_train = y.iloc[train_index] # Based on your code, you might need a ravel call here, but I would look into how you're generating your y\n", |
|
|
1818 |
" X_test = X.iloc[test_index]\n", |
|
|
1819 |
" y_test = y.iloc[test_index] # See comment on ravel and y_train\n", |
|
|
1820 |
" \n", |
|
|
1821 |
" \n", |
|
|
1822 |
" #------------------------------IMPUTE Training Set------------------------------------\n", |
|
|
1823 |
"\n", |
|
|
1824 |
" # Use MICE to fill in each row's missing features\n", |
|
|
1825 |
" X_train = pd.DataFrame(IterativeImputer(verbose=False, sample_posterior=True).fit_transform(X_train))\n", |
|
|
1826 |
" X_train.columns = df_cols\n", |
|
|
1827 |
"\n", |
|
|
1828 |
" #------------------------------IMPUTE Testing Set------------------------------------ \n", |
|
|
1829 |
"\n", |
|
|
1830 |
" # Use MICE to fill in each row's missing features\n", |
|
|
1831 |
" X_test = pd.DataFrame(IterativeImputer(verbose=False, sample_posterior=True).fit_transform(X_test))\n", |
|
|
1832 |
" X_test.columns = df_cols\n", |
|
|
1833 |
"\n", |
|
|
1834 |
"\n", |
|
|
1835 |
" #------------------------------Standardize Testing Set------------------------------------\n", |
|
|
1836 |
"\n", |
|
|
1837 |
" std_scale = preprocessing.StandardScaler().fit(X_train[cols_to_norm])\n", |
|
|
1838 |
" X_train[cols_to_norm] = std_scale.transform(X_train[cols_to_norm])\n", |
|
|
1839 |
" X_test[cols_to_norm] = std_scale.transform(X_test[cols_to_norm])\n", |
|
|
1840 |
" #------------------------------------------------------------------------------------------\n", |
|
|
1841 |
"\n", |
|
|
1842 |
" # Hyperparameters are optimized using hyperopt\n", |
|
|
1843 |
"\n", |
|
|
1844 |
" #sm = SMOTE()\n", |
|
|
1845 |
"\n", |
|
|
1846 |
" sm = SMOTENC(random_state=50, categorical_features=[1,2,3,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61]) \n", |
|
|
1847 |
" X_train_oversampled, y_train_oversampled = sm.fit_sample(X_train, y_train)\n", |
|
|
1848 |
" print(sorted(Counter(y_train_oversampled).items()))\n", |
|
|
1849 |
" model = XGBClassifier(max_depth=8, gamma=0.063, colsample_bytree=0.71) \n", |
|
|
1850 |
" model.fit(X_train_oversampled, y_train_oversampled) \n", |
|
|
1851 |
" y_pred = model.predict(X_test.values)\n", |
|
|
1852 |
" visualizer = ROCAUC(model, classes=classes)\n", |
|
|
1853 |
" visualizer.fit(X_train_oversampled, y_train_oversampled) # Fit the training data to the visualizer\n", |
|
|
1854 |
" visualizer.score(X_test.values, y_test) # Evaluate the model on the test data\n", |
|
|
1855 |
" visualizer.poof(\"XB_SMOTENC_{}_{}.pdf\".format(i, fold), clear_figure=True) \n", |
|
|
1856 |
" print(f'For fold {fold}:')\n", |
|
|
1857 |
" print(f'Accuracy: {model.score(X_test.values, y_test)}')\n", |
|
|
1858 |
" f1=f1_score(y_test, y_pred, average='micro')\n", |
|
|
1859 |
" print(f'f-score: {f1}')\n", |
|
|
1860 |
" print(classification_report_imbalanced(y_test, y_pred))\n", |
|
|
1861 |
" K= classification_report_imbalanced(y_test, y_pred)\n", |
|
|
1862 |
" df = pd.read_fwf(io.StringIO(K))\n", |
|
|
1863 |
" df.loc[\"1\":\"1\",\"pre\":\"sup\"].to_csv(\"XGB-SMOTENC-D.csv\" , sep=',', encoding='utf-8', doublequote=False, index=False, mode=\"a\", header=False)\n", |
|
|
1864 |
" df.loc[\"2\":\"2\",\"pre\":\"sup\"].to_csv(\"XGB-SMOTENC-H.csv\" , sep=',', encoding='utf-8', doublequote=False, index=False, mode=\"a\", header=False)\n", |
|
|
1865 |
" df.loc[\"3\":\"3\",\"pre\":\"sup\"].to_csv(\"XGB-SMOTENC-N.csv\" , sep=',', encoding='utf-8', doublequote=False, index=False, mode=\"a\", header=False)\n", |
|
|
1866 |
" df.loc[\"4\":\"4\",\"pre\":\"sup\"].to_csv(\"XGB-SMOTENC-R.csv\" , sep=',', encoding='utf-8', doublequote=False, index=False, mode=\"a\", header=False)\n", |
|
|
1867 |
" df.iloc[6:7,:].to_csv(\"XGB-SMOTENC-avg.csv\" , sep=',', encoding='utf-8', doublequote=False, index=False, mode=\"a\", header=False)\n", |
|
|
1868 |
"\n", |
|
|
1869 |
" #\n", |
|
|
1870 |
"\n", |
|
|
1871 |
"\n", |
|
|
1872 |
" " |
|
|
1873 |
] |
|
|
1874 |
}, |
|
|
1875 |
{ |
|
|
1876 |
"cell_type": "code", |
|
|
1877 |
"execution_count": null, |
|
|
1878 |
"metadata": {}, |
|
|
1879 |
"outputs": [], |
|
|
1880 |
"source": [] |
|
|
1881 |
}, |
|
|
1882 |
{ |
|
|
1883 |
"cell_type": "code", |
|
|
1884 |
"execution_count": null, |
|
|
1885 |
"metadata": {}, |
|
|
1886 |
"outputs": [], |
|
|
1887 |
"source": [] |
|
|
1888 |
} |
|
|
1889 |
], |
|
|
1890 |
"metadata": { |
|
|
1891 |
"kernelspec": { |
|
|
1892 |
"display_name": "Python 3", |
|
|
1893 |
"language": "python", |
|
|
1894 |
"name": "python3" |
|
|
1895 |
}, |
|
|
1896 |
"language_info": { |
|
|
1897 |
"codemirror_mode": { |
|
|
1898 |
"name": "ipython", |
|
|
1899 |
"version": 3 |
|
|
1900 |
}, |
|
|
1901 |
"file_extension": ".py", |
|
|
1902 |
"mimetype": "text/x-python", |
|
|
1903 |
"name": "python", |
|
|
1904 |
"nbconvert_exporter": "python", |
|
|
1905 |
"pygments_lexer": "ipython3", |
|
|
1906 |
"version": "3.8.3" |
|
|
1907 |
} |
|
|
1908 |
}, |
|
|
1909 |
"nbformat": 4, |
|
|
1910 |
"nbformat_minor": 4 |
|
|
1911 |
} |