Datasets
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Your job 653217 ("-2018-04-20_rand49892_allOn_ite500") has been submitted
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file: script_start.lua
author Davide Chicco <davide.chicco@gmail.com>
Fri Apr 20 14:41:52 2018
Readin' ../data/LungCancerDataset_AllRecords_NORM.csv
OPTIM_PACKAGE = true
XAVIER_INITIALIZATION = true
DROPOUT_FLAG = true
MOMENTUM_ALPHA = 0.5
MOMENTUM = true
LEARN_RATE = 0.01
ITERATIONS = 500
Number of value profiles (rows) = 10443
Number features (columns) = 27
Number of targets (rows) = 10443
#patients_vett = 10443
training_set_size = 6266
validation_set_size = 2089
test_set_size = 2088
$$$ hidden_units = 5 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.057 error progress = 4.37382%
completion: 8% (epoch=40)(element=6266) loss = 0.089 error progress = 4.26746%
completion: 12% (epoch=60)(element=6266) loss = 0.095 error progress = 4.1903%
completion: 16% (epoch=80)(element=6266) loss = 0.007 error progress = 4.13531%
completion: 20% (epoch=100)(element=6266) loss = 0.043 error progress = 4.10126%
completion: 24% (epoch=120)(element=6266) loss = 0.003 error progress = 4.07886%
completion: 28% (epoch=140)(element=6266) loss = 0.006 error progress = 4.06068%
completion: 32% (epoch=160)(element=6266) loss = 0.011 error progress = 4.04811%
completion: 36% (epoch=180)(element=6266) loss = 0.105 error progress = 4.03916%
completion: 40% (epoch=200)(element=6266) loss = 0.052 error progress = 4.03089%
completion: 44% (epoch=220)(element=6266) loss = 0.004 error progress = 4.02527%
completion: 48% (epoch=240)(element=6266) loss = 0.103 error progress = 4.02015%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 4.01424%
completion: 56% (epoch=280)(element=6266) loss = 0.054 error progress = 4.01016%
completion: 60% (epoch=300)(element=6266) loss = 0.047 error progress = 4.00562%
completion: 64% (epoch=320)(element=6266) loss = 0.097 error progress = 4.00259%
completion: 68% (epoch=340)(element=6266) loss = 0.003 error progress = 3.99949%
completion: 72% (epoch=360)(element=6266) loss = 0.011 error progress = 3.99716%
completion: 76% (epoch=380)(element=6266) loss = 0.005 error progress = 3.99486%
completion: 80% (epoch=400)(element=6266) loss = 0.019 error progress = 3.99324%
completion: 84% (epoch=420)(element=6266) loss = 0.047 error progress = 3.99149%
completion: 88% (epoch=440)(element=6266) loss = 0.055 error progress = 3.98964%
completion: 92% (epoch=460)(element=6266) loss = 0.002 error progress = 3.98817%
completion: 96% (epoch=480)(element=6266) loss = 0.063 error progress = 3.98705%
completion: 100% (epoch=500)(element=6266) loss = 0.024 error progress = 3.98565%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 76.64%
#FPplusFN=2089
minError=421 minErrorIndex=1 globalThreshold =-1.511538207294
metrics area_roc = 73.65%
(beta) metrics area_precision_recall = 41.53%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 487 / 516 (truth == 1) & (prediction < threshold)
TP = 29 / 516 (truth == 1) & (prediction >= threshold)
FP = 1 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,572 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.2 ::::
accuracy = 0.77 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.06 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.11 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl1_time1524250075
$$$ hidden_units = 10 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 3.30468%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 3.21196%
completion: 12% (epoch=60)(element=6266) loss = 0.003 error progress = 3.17128%
completion: 16% (epoch=80)(element=6266) loss = 0.029 error progress = 3.14551%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 3.13218%
completion: 24% (epoch=120)(element=6266) loss = 0.032 error progress = 3.1219%
completion: 28% (epoch=140)(element=6266) loss = 0.011 error progress = 3.11277%
completion: 32% (epoch=160)(element=6266) loss = 0.029 error progress = 3.10457%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 3.09809%
completion: 40% (epoch=200)(element=6266) loss = 0.027 error progress = 3.09331%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 3.08583%
completion: 48% (epoch=240)(element=6266) loss = 0.037 error progress = 3.07652%
completion: 52% (epoch=260)(element=6266) loss = 0.006 error progress = 3.06792%
completion: 56% (epoch=280)(element=6266) loss = 0.023 error progress = 3.05918%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 3.0528%
completion: 64% (epoch=320)(element=6266) loss = 0.004 error progress = 3.04629%
completion: 68% (epoch=340)(element=6266) loss = 0.024 error progress = 3.04121%
completion: 72% (epoch=360)(element=6266) loss = 0.03 error progress = 3.03627%
completion: 76% (epoch=380)(element=6266) loss = 0.034 error progress = 3.03119%
completion: 80% (epoch=400)(element=6266) loss = 0.02 error progress = 3.02725%
completion: 84% (epoch=420)(element=6266) loss = 0.025 error progress = 3.02336%
completion: 88% (epoch=440)(element=6266) loss = 0.03 error progress = 3.02%
completion: 92% (epoch=460)(element=6266) loss = 0.027 error progress = 3.01619%
completion: 96% (epoch=480)(element=6266) loss = 0.024 error progress = 3.01306%
completion: 100% (epoch=500)(element=6266) loss = 0.032 error progress = 3.01016%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 83.01%
#FPplusFN=2089
minError=307 minErrorIndex=1 globalThreshold =-1.0223948662777
metrics area_roc = 88.81%
(beta) metrics area_precision_recall = 64.62%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 326 / 516 (truth == 1) & (prediction < threshold)
TP = 190 / 516 (truth == 1) & (prediction >= threshold)
FP = 29 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,544 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.49 ::::
accuracy = 0.83 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.37 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.52 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl1_time1524250442
$$$ hidden_units = 25 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.85438%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.71275%
completion: 12% (epoch=60)(element=6266) loss = 0.008 error progress = 2.64059%
completion: 16% (epoch=80)(element=6266) loss = 0.014 error progress = 2.59325%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.5614%
completion: 24% (epoch=120)(element=6266) loss = 0.013 error progress = 2.53363%
completion: 28% (epoch=140)(element=6266) loss = 0.008 error progress = 2.51169%
completion: 32% (epoch=160)(element=6266) loss = 0.008 error progress = 2.49541%
completion: 36% (epoch=180)(element=6266) loss = 0.012 error progress = 2.48123%
completion: 40% (epoch=200)(element=6266) loss = 0.019 error progress = 2.46929%
completion: 44% (epoch=220)(element=6266) loss = 0.004 error progress = 2.45763%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 2.44811%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 2.43894%
completion: 56% (epoch=280)(element=6266) loss = 0.013 error progress = 2.42965%
completion: 60% (epoch=300)(element=6266) loss = 0.008 error progress = 2.42121%
completion: 64% (epoch=320)(element=6266) loss = 0.005 error progress = 2.41403%
completion: 68% (epoch=340)(element=6266) loss = 0.05 error progress = 2.40762%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 2.40052%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 2.39401%
completion: 80% (epoch=400)(element=6266) loss = 0 error progress = 2.38808%
completion: 84% (epoch=420)(element=6266) loss = 0.084 error progress = 2.38262%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 2.37799%
completion: 92% (epoch=460)(element=6266) loss = 0.006 error progress = 2.37384%
completion: 96% (epoch=480)(element=6266) loss = 0.003 error progress = 2.36948%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 2.3655%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.83%
#FPplusFN=2089
minError=235 minErrorIndex=1 globalThreshold =-1.3964610007447
metrics area_roc = 90.15%
(beta) metrics area_precision_recall = 68.62%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 284 / 516 (truth == 1) & (prediction < threshold)
TP = 232 / 516 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.56 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.45 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.59 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl1_time1524250828
$$$ hidden_units = 50 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.57023%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.43499%
completion: 12% (epoch=60)(element=6266) loss = 0.004 error progress = 2.36386%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.31372%
completion: 20% (epoch=100)(element=6266) loss = 0.008 error progress = 2.27956%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.25164%
completion: 28% (epoch=140)(element=6266) loss = 0.002 error progress = 2.22934%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 2.21084%
completion: 36% (epoch=180)(element=6266) loss = 0.031 error progress = 2.19374%
completion: 40% (epoch=200)(element=6266) loss = 0.008 error progress = 2.17999%
completion: 44% (epoch=220)(element=6266) loss = 0.018 error progress = 2.16775%
completion: 48% (epoch=240)(element=6266) loss = 0.004 error progress = 2.15647%
completion: 52% (epoch=260)(element=6266) loss = 0.011 error progress = 2.14542%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 2.13472%
completion: 60% (epoch=300)(element=6266) loss = 0.004 error progress = 2.1255%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.11624%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 2.10737%
completion: 72% (epoch=360)(element=6266) loss = 0.005 error progress = 2.09918%
completion: 76% (epoch=380)(element=6266) loss = 0.038 error progress = 2.09107%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 2.08311%
completion: 84% (epoch=420)(element=6266) loss = 0.004 error progress = 2.07637%
completion: 88% (epoch=440)(element=6266) loss = 0.021 error progress = 2.06936%
completion: 92% (epoch=460)(element=6266) loss = 0.003 error progress = 2.06429%
completion: 96% (epoch=480)(element=6266) loss = 0.012 error progress = 2.05971%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 2.05569%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.73%
#FPplusFN=2089
minError=237 minErrorIndex=1 globalThreshold =-1.6461566020257
metrics area_roc = 90.01%
(beta) metrics area_precision_recall = 68.95%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 301 / 516 (truth == 1) & (prediction < threshold)
TP = 215 / 516 (truth == 1) & (prediction >= threshold)
FP = 18 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,555 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.56 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.42 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.57 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl1_time1524251245
$$$ hidden_units = 75 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.51561%
completion: 8% (epoch=40)(element=6266) loss = 0.005 error progress = 2.37984%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.30475%
completion: 16% (epoch=80)(element=6266) loss = 0.025 error progress = 2.25502%
completion: 20% (epoch=100)(element=6266) loss = 0.026 error progress = 2.21721%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 2.18615%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.15666%
completion: 32% (epoch=160)(element=6266) loss = 0.003 error progress = 2.13377%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 2.11182%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 2.0928%
completion: 44% (epoch=220)(element=6266) loss = 0.027 error progress = 2.0754%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 2.06018%
completion: 52% (epoch=260)(element=6266) loss = 0.014 error progress = 2.04558%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 2.03308%
completion: 60% (epoch=300)(element=6266) loss = 0.028 error progress = 2.02074%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 2.00942%
completion: 68% (epoch=340)(element=6266) loss = 0.016 error progress = 1.99856%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.98817%
completion: 76% (epoch=380)(element=6266) loss = 0.011 error progress = 1.97905%
completion: 80% (epoch=400)(element=6266) loss = 0 error progress = 1.97055%
completion: 84% (epoch=420)(element=6266) loss = 0.004 error progress = 1.96266%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.95459%
completion: 92% (epoch=460)(element=6266) loss = 0.002 error progress = 1.94735%
completion: 96% (epoch=480)(element=6266) loss = 0.01 error progress = 1.9402%
completion: 100% (epoch=500)(element=6266) loss = 0.044 error progress = 1.93319%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.97%
#FPplusFN=2089
minError=223 minErrorIndex=1 globalThreshold =-1.5817676292274
metrics area_roc = 91.24%
(beta) metrics area_precision_recall = 67.68%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 260 / 516 (truth == 1) & (prediction < threshold)
TP = 256 / 516 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.59 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.5 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl1_time1524251696
$$$ hidden_units = 100 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.002 error progress = 2.44416%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.30335%
completion: 12% (epoch=60)(element=6266) loss = 0.005 error progress = 2.22892%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.1773%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.13838%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 2.10503%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 2.07643%
completion: 32% (epoch=160)(element=6266) loss = 0.011 error progress = 2.05324%
completion: 36% (epoch=180)(element=6266) loss = 0.002 error progress = 2.034%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 2.01793%
completion: 44% (epoch=220)(element=6266) loss = 0.013 error progress = 2.00208%
completion: 48% (epoch=240)(element=6266) loss = 0.003 error progress = 1.98678%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.97389%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.96152%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.94944%
completion: 64% (epoch=320)(element=6266) loss = 0 error progress = 1.93819%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.92795%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.91741%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.9088%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.90141%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 1.89347%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.88499%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.87751%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.87034%
completion: 100% (epoch=500)(element=6266) loss = 0.003 error progress = 1.8636%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.27%
#FPplusFN=2089
minError=216 minErrorIndex=1 globalThreshold =-1.220376050901
metrics area_roc = 91.97%
(beta) metrics area_precision_recall = 72.7%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 246 / 516 (truth == 1) & (prediction < threshold)
TP = 270 / 516 (truth == 1) & (prediction >= threshold)
FP = 20 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,553 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.64 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.52 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.67 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl1_time1524252209
$$$ hidden_units = 125 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.41977%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.2698%
completion: 12% (epoch=60)(element=6266) loss = 0.003 error progress = 2.1867%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.13278%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.0891%
completion: 24% (epoch=120)(element=6266) loss = 0.011 error progress = 2.05637%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.02805%
completion: 32% (epoch=160)(element=6266) loss = 0.009 error progress = 2.00452%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.98373%
completion: 40% (epoch=200)(element=6266) loss = 0.003 error progress = 1.96608%
completion: 44% (epoch=220)(element=6266) loss = 0.005 error progress = 1.95004%
completion: 48% (epoch=240)(element=6266) loss = 0.007 error progress = 1.93584%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.9222%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.90885%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.89542%
completion: 64% (epoch=320)(element=6266) loss = 0.003 error progress = 1.88393%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 1.87242%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.86158%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.85188%
completion: 80% (epoch=400)(element=6266) loss = 0.006 error progress = 1.84276%
completion: 84% (epoch=420)(element=6266) loss = 0.009 error progress = 1.83359%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.82417%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.81555%
completion: 96% (epoch=480)(element=6266) loss = 0.026 error progress = 1.80742%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.7995%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.94%
#FPplusFN=2089
minError=219 minErrorIndex=1 globalThreshold =-1.3451128770077
metrics area_roc = 90.85%
(beta) metrics area_precision_recall = 71.72%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 230 / 516 (truth == 1) & (prediction < threshold)
TP = 286 / 516 (truth == 1) & (prediction >= threshold)
FP = 22 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,551 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.55 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl1_time1524252784
$$$ hidden_units = 150 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.002 error progress = 2.40106%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.25362%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.17555%
completion: 16% (epoch=80)(element=6266) loss = 0.024 error progress = 2.12121%
completion: 20% (epoch=100)(element=6266) loss = 0.01 error progress = 2.08182%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 2.04801%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 2.01544%
completion: 32% (epoch=160)(element=6266) loss = 0.012 error progress = 1.99094%
completion: 36% (epoch=180)(element=6266) loss = 0.008 error progress = 1.96869%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 1.94805%
completion: 44% (epoch=220)(element=6266) loss = 0.003 error progress = 1.92925%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 1.91172%
completion: 52% (epoch=260)(element=6266) loss = 0.003 error progress = 1.89571%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.88114%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.86703%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 1.85372%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 1.84127%
completion: 72% (epoch=360)(element=6266) loss = 0.01 error progress = 1.82915%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.81801%
completion: 80% (epoch=400)(element=6266) loss = 0.003 error progress = 1.80795%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 1.79768%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.78781%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.778%
completion: 96% (epoch=480)(element=6266) loss = 0.003 error progress = 1.76959%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.76096%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.65%
#FPplusFN=2089
minError=227 minErrorIndex=1 globalThreshold =-1.1534186983852
metrics area_roc = 91.8%
(beta) metrics area_precision_recall = 70.38%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 221 / 516 (truth == 1) & (prediction < threshold)
TP = 295 / 516 (truth == 1) & (prediction >= threshold)
FP = 37 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,536 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.57 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl1_time1524253418
$$$ hidden_units = 175 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.01 error progress = 2.37389%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.22825%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.14972%
completion: 16% (epoch=80)(element=6266) loss = 0.006 error progress = 2.09358%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.05098%
completion: 24% (epoch=120)(element=6266) loss = 0.007 error progress = 2.01795%
completion: 28% (epoch=140)(element=6266) loss = 0.003 error progress = 1.9898%
completion: 32% (epoch=160)(element=6266) loss = 0.003 error progress = 1.96693%
completion: 36% (epoch=180)(element=6266) loss = 0.004 error progress = 1.94587%
completion: 40% (epoch=200)(element=6266) loss = 0.003 error progress = 1.92704%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.90978%
completion: 48% (epoch=240)(element=6266) loss = 0.006 error progress = 1.89368%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.87971%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.86639%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.85393%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 1.84145%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.8297%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.81869%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 1.8081%
completion: 80% (epoch=400)(element=6266) loss = 0.015 error progress = 1.79857%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.78893%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.7797%
completion: 92% (epoch=460)(element=6266) loss = 0.003 error progress = 1.77136%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.76314%
completion: 100% (epoch=500)(element=6266) loss = 0.003 error progress = 1.75435%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.75%
#FPplusFN=2089
minError=226 minErrorIndex=1 globalThreshold =-1.507336786384
metrics area_roc = 90.64%
(beta) metrics area_precision_recall = 67.84%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 223 / 516 (truth == 1) & (prediction < threshold)
TP = 293 / 516 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.57 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl1_time1524254125
$$$ hidden_units = 200 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.35616%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.21461%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.13808%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.08462%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.04341%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 2.01014%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.98036%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.95584%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.93266%
completion: 40% (epoch=200)(element=6266) loss = 0.005 error progress = 1.91112%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.8925%
completion: 48% (epoch=240)(element=6266) loss = 0.003 error progress = 1.87423%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.85627%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.84033%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.8243%
completion: 64% (epoch=320)(element=6266) loss = 0.003 error progress = 1.80957%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.79586%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.78254%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.76987%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.75824%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.74624%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.73452%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.72366%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.71265%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.70228%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.21%
#FPplusFN=2089
minError=230 minErrorIndex=1 globalThreshold =-1.6708420925161
metrics area_roc = 90.39%
(beta) metrics area_precision_recall = 69.92%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 259 / 516 (truth == 1) & (prediction < threshold)
TP = 257 / 516 (truth == 1) & (prediction >= threshold)
FP = 29 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,544 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.6 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.5 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl1_time1524254889
$$$ hidden_units = 225 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.34428%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.2069%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.12564%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.06839%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.0211%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 1.98378%
completion: 28% (epoch=140)(element=6266) loss = 0.006 error progress = 1.95101%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 1.92322%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.89981%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.8792%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.861%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 1.84361%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.82691%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.81233%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.79796%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.78447%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.7719%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.76029%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.74875%
completion: 80% (epoch=400)(element=6266) loss = 0 error progress = 1.73736%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.72706%
completion: 88% (epoch=440)(element=6266) loss = 0.007 error progress = 1.71716%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.70743%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.69811%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.68908%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.36%
#FPplusFN=2089
minError=239 minErrorIndex=1 globalThreshold =-1.2571550166953
metrics area_roc = 91.29%
(beta) metrics area_precision_recall = 70.39%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 228 / 516 (truth == 1) & (prediction < threshold)
TP = 288 / 516 (truth == 1) & (prediction >= threshold)
FP = 36 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,537 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.64 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.56 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl1_time1524255759
$$$ hidden_units = 250 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.32704%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.18341%
completion: 12% (epoch=60)(element=6266) loss = 0.006 error progress = 2.10528%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.0512%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.00785%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.97369%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.9446%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 1.91869%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.89354%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.87113%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.85016%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.83023%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 1.81279%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 1.7963%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.78018%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.76624%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.75144%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.73819%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.72563%
completion: 80% (epoch=400)(element=6266) loss = 0 error progress = 1.71401%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.70204%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.69136%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.6807%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.67024%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.66003%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.7%
#FPplusFN=2089
minError=228 minErrorIndex=1 globalThreshold =-1.3495003559987
metrics area_roc = 90.94%
(beta) metrics area_precision_recall = 70.96%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 222 / 516 (truth == 1) & (prediction < threshold)
TP = 294 / 516 (truth == 1) & (prediction >= threshold)
FP = 35 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,538 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.57 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl1_time1524256726
$$$ hidden_units = 275 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.32714%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.18693%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.10733%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.05068%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.00445%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 1.96657%
completion: 28% (epoch=140)(element=6266) loss = 0.003 error progress = 1.93403%
completion: 32% (epoch=160)(element=6266) loss = 0.003 error progress = 1.90661%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.88198%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.85926%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.83901%
completion: 48% (epoch=240)(element=6266) loss = 0.008 error progress = 1.81946%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.80058%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.78408%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.76845%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.75423%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.73967%
completion: 72% (epoch=360)(element=6266) loss = 0.003 error progress = 1.72616%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.71351%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.70178%
completion: 84% (epoch=420)(element=6266) loss = 0.008 error progress = 1.69013%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.67828%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.66755%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.65753%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.64728%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.7%
#FPplusFN=2089
minError=225 minErrorIndex=1 globalThreshold =-1.3832129541397
metrics area_roc = 91.04%
(beta) metrics area_precision_recall = 69.41%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 231 / 516 (truth == 1) & (prediction < threshold)
TP = 285 / 516 (truth == 1) & (prediction >= threshold)
FP = 26 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,547 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.55 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl1_time1524257786
$$$ hidden_units = 300 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.006 error progress = 2.30989%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.17368%
completion: 12% (epoch=60)(element=6266) loss = 0 error progress = 2.09673%
completion: 16% (epoch=80)(element=6266) loss = 0.007 error progress = 2.04173%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 1.99845%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 1.96184%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.92902%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 1.89948%
completion: 36% (epoch=180)(element=6266) loss = 0.003 error progress = 1.87356%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 1.84918%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.82787%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 1.80637%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.78746%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.76959%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.75205%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.73537%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.72013%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.70536%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.69098%
completion: 80% (epoch=400)(element=6266) loss = 0 error progress = 1.67731%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.66372%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.65102%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.63914%
completion: 96% (epoch=480)(element=6266) loss = 0.005 error progress = 1.62731%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.61638%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.08%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.9357828429559
metrics area_roc = 91.89%
(beta) metrics area_precision_recall = 68.8%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 216 / 516 (truth == 1) & (prediction < threshold)
TP = 300 / 516 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.58 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl1_time1524258968
$$$ hidden_units = 350 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.31358%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.16235%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.07601%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.01896%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 1.97431%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 1.93509%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.90145%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 1.8736%
completion: 36% (epoch=180)(element=6266) loss = 0.002 error progress = 1.84729%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 1.82377%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.80185%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 1.78186%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.76156%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.74383%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.72728%
completion: 64% (epoch=320)(element=6266) loss = 0.003 error progress = 1.7115%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.69605%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.68167%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.66812%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.65492%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.64248%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.63018%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.61821%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.60701%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.5956%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.31%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.4718534097512
metrics area_roc = 90.57%
(beta) metrics area_precision_recall = 68.98%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 237 / 516 (truth == 1) & (prediction < threshold)
TP = 279 / 516 (truth == 1) & (prediction >= threshold)
FP = 28 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,545 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.64 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.54 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.68 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl1_time1524260384
$$$ hidden_units = 400 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.003 error progress = 2.2917%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.14293%
completion: 12% (epoch=60)(element=6266) loss = 0 error progress = 2.06122%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.00508%
completion: 20% (epoch=100)(element=6266) loss = 0.006 error progress = 1.95933%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.92285%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.89053%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.86191%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.83607%
completion: 40% (epoch=200)(element=6266) loss = 0.003 error progress = 1.81218%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.78989%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 1.76877%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.74936%
completion: 56% (epoch=280)(element=6266) loss = 0.003 error progress = 1.73029%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.71265%
completion: 64% (epoch=320)(element=6266) loss = 0 error progress = 1.69525%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.67839%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.66216%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.647%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.63244%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.61908%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.60543%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.59267%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.58047%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.56906%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.56%
#FPplusFN=2089
minError=208 minErrorIndex=1 globalThreshold =-1.4173948943747
metrics area_roc = 93.1%
(beta) metrics area_precision_recall = 71.18%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 208 / 516 (truth == 1) & (prediction < threshold)
TP = 308 / 516 (truth == 1) & (prediction >= threshold)
FP = 31 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,542 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.6 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl1_time1524262092
$$$ hidden_units = 5 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.075 error progress = 4.91432%
completion: 8% (epoch=40)(element=6266) loss = 0.075 error progress = 4.91339%
completion: 12% (epoch=60)(element=6266) loss = 0.093 error progress = 4.86128%
completion: 16% (epoch=80)(element=6266) loss = 0.06 error progress = 4.81156%
completion: 20% (epoch=100)(element=6266) loss = 0.003 error progress = 4.78032%
completion: 24% (epoch=120)(element=6266) loss = 0.061 error progress = 4.76001%
completion: 28% (epoch=140)(element=6266) loss = 0.003 error progress = 4.74527%
completion: 32% (epoch=160)(element=6266) loss = 0.094 error progress = 4.73433%
completion: 36% (epoch=180)(element=6266) loss = 0.107 error progress = 4.72555%
completion: 40% (epoch=200)(element=6266) loss = 0.104 error progress = 4.71884%
completion: 44% (epoch=220)(element=6266) loss = 0.11 error progress = 4.71385%
completion: 48% (epoch=240)(element=6266) loss = 0.096 error progress = 4.70939%
completion: 52% (epoch=260)(element=6266) loss = 0.093 error progress = 4.70556%
completion: 56% (epoch=280)(element=6266) loss = 0.1 error progress = 4.70229%
completion: 60% (epoch=300)(element=6266) loss = 0.016 error progress = 4.69932%
completion: 64% (epoch=320)(element=6266) loss = 0.1 error progress = 4.69666%
completion: 68% (epoch=340)(element=6266) loss = 0.049 error progress = 4.69446%
completion: 72% (epoch=360)(element=6266) loss = 0.101 error progress = 4.69231%
completion: 76% (epoch=380)(element=6266) loss = 0.099 error progress = 4.69053%
completion: 80% (epoch=400)(element=6266) loss = 0.111 error progress = 4.68848%
completion: 84% (epoch=420)(element=6266) loss = 0.021 error progress = 4.68644%
completion: 88% (epoch=440)(element=6266) loss = 0.09 error progress = 4.68478%
completion: 92% (epoch=460)(element=6266) loss = 0.103 error progress = 4.68316%
completion: 96% (epoch=480)(element=6266) loss = 0.107 error progress = 4.6816%
completion: 100% (epoch=500)(element=6266) loss = 0.101 error progress = 4.68014%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=516 minErrorIndex=1 globalThreshold =-1.6670042526001
metrics area_roc = 62.07%
(beta) metrics area_precision_recall = 18.14%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 516 / 516 (truth == 1) & (prediction < threshold)
TP = 0 / 516 (truth == 1) & (prediction >= threshold)
FP = 0 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,573 / 1,573 (truth == 0) & (prediction < threshold)
Matthews correlation coefficient = NOT computable
accuracy = 0.75 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl2_time1524262568
$$$ hidden_units = 10 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.118 error progress = 4.20528%
completion: 8% (epoch=40)(element=6266) loss = 0.003 error progress = 4.16341%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 4.14574%
completion: 16% (epoch=80)(element=6266) loss = 0.095 error progress = 4.13407%
completion: 20% (epoch=100)(element=6266) loss = 0.146 error progress = 4.12419%
completion: 24% (epoch=120)(element=6266) loss = 0.116 error progress = 4.10376%
completion: 28% (epoch=140)(element=6266) loss = 0.02 error progress = 4.07514%
completion: 32% (epoch=160)(element=6266) loss = 0.052 error progress = 4.05364%
completion: 36% (epoch=180)(element=6266) loss = 0.023 error progress = 4.02512%
completion: 40% (epoch=200)(element=6266) loss = 0.141 error progress = 3.99839%
completion: 44% (epoch=220)(element=6266) loss = 0.124 error progress = 3.9741%
completion: 48% (epoch=240)(element=6266) loss = 0.107 error progress = 3.9538%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 3.93541%
completion: 56% (epoch=280)(element=6266) loss = 0.049 error progress = 3.91921%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 3.90695%
completion: 64% (epoch=320)(element=6266) loss = 0.004 error progress = 3.89531%
completion: 68% (epoch=340)(element=6266) loss = 0.005 error progress = 3.88401%
completion: 72% (epoch=360)(element=6266) loss = 0.015 error progress = 3.87424%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 3.86515%
completion: 80% (epoch=400)(element=6266) loss = 0.01 error progress = 3.85716%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 3.84667%
completion: 88% (epoch=440)(element=6266) loss = 0.041 error progress = 3.83597%
completion: 92% (epoch=460)(element=6266) loss = 0.002 error progress = 3.82449%
completion: 96% (epoch=480)(element=6266) loss = 0.077 error progress = 3.81469%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 3.80423%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 77.31%
#FPplusFN=2089
minError=369 minErrorIndex=1 globalThreshold =-1.7847241940084
metrics area_roc = 82.32%
(beta) metrics area_precision_recall = 49.37%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 467 / 516 (truth == 1) & (prediction < threshold)
TP = 49 / 516 (truth == 1) & (prediction >= threshold)
FP = 7 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,566 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.24 ::::
accuracy = 0.77 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.09 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.17 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl2_time1524263057
$$$ hidden_units = 25 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 3.42956%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 3.20333%
completion: 12% (epoch=60)(element=6266) loss = 0.008 error progress = 3.09078%
completion: 16% (epoch=80)(element=6266) loss = 0.016 error progress = 3.02755%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.99014%
completion: 24% (epoch=120)(element=6266) loss = 0.02 error progress = 2.95844%
completion: 28% (epoch=140)(element=6266) loss = 0.011 error progress = 2.93298%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.91162%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 2.89615%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 2.88%
completion: 44% (epoch=220)(element=6266) loss = 0.066 error progress = 2.86687%
completion: 48% (epoch=240)(element=6266) loss = 0.024 error progress = 2.85611%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 2.84323%
completion: 56% (epoch=280)(element=6266) loss = 0.121 error progress = 2.83038%
completion: 60% (epoch=300)(element=6266) loss = 0.072 error progress = 2.81947%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.81019%
completion: 68% (epoch=340)(element=6266) loss = 0.051 error progress = 2.80117%
completion: 72% (epoch=360)(element=6266) loss = 0.099 error progress = 2.7935%
completion: 76% (epoch=380)(element=6266) loss = 0.019 error progress = 2.78591%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 2.77804%
completion: 84% (epoch=420)(element=6266) loss = 0.014 error progress = 2.77016%
completion: 88% (epoch=440)(element=6266) loss = 0.004 error progress = 2.76355%
completion: 92% (epoch=460)(element=6266) loss = 0.026 error progress = 2.75699%
completion: 96% (epoch=480)(element=6266) loss = 0.011 error progress = 2.75086%
completion: 100% (epoch=500)(element=6266) loss = 0.007 error progress = 2.74511%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 80.71%
#FPplusFN=2089
minError=272 minErrorIndex=1 globalThreshold =-1.9693846786562
metrics area_roc = 89.13%
(beta) metrics area_precision_recall = 65.89%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 396 / 516 (truth == 1) & (prediction < threshold)
TP = 120 / 516 (truth == 1) & (prediction >= threshold)
FP = 7 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,566 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.41 ::::
accuracy = 0.81 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.23 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.37 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl2_time1524263562
$$$ hidden_units = 50 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.82143%
completion: 8% (epoch=40)(element=6266) loss = 0.003 error progress = 2.66916%
completion: 12% (epoch=60)(element=6266) loss = 0.008 error progress = 2.59259%
completion: 16% (epoch=80)(element=6266) loss = 0.011 error progress = 2.54149%
completion: 20% (epoch=100)(element=6266) loss = 0.006 error progress = 2.50077%
completion: 24% (epoch=120)(element=6266) loss = 0.003 error progress = 2.46914%
completion: 28% (epoch=140)(element=6266) loss = 0.004 error progress = 2.4413%
completion: 32% (epoch=160)(element=6266) loss = 0.003 error progress = 2.41744%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 2.3958%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 2.37613%
completion: 44% (epoch=220)(element=6266) loss = 0.003 error progress = 2.35794%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 2.34201%
completion: 52% (epoch=260)(element=6266) loss = 0.025 error progress = 2.32786%
completion: 56% (epoch=280)(element=6266) loss = 0.003 error progress = 2.31581%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 2.30217%
completion: 64% (epoch=320)(element=6266) loss = 0.006 error progress = 2.29109%
completion: 68% (epoch=340)(element=6266) loss = 0.004 error progress = 2.28037%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 2.27058%
completion: 76% (epoch=380)(element=6266) loss = 0.003 error progress = 2.26198%
completion: 80% (epoch=400)(element=6266) loss = 0.003 error progress = 2.25252%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 2.24315%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 2.23372%
completion: 92% (epoch=460)(element=6266) loss = 0.004 error progress = 2.22529%
completion: 96% (epoch=480)(element=6266) loss = 0.003 error progress = 2.21749%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 2.20953%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.02%
#FPplusFN=2089
minError=247 minErrorIndex=1 globalThreshold =-0.93454394187906
metrics area_roc = 89.91%
(beta) metrics area_precision_recall = 66.59%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 282 / 516 (truth == 1) & (prediction < threshold)
TP = 234 / 516 (truth == 1) & (prediction >= threshold)
FP = 31 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,542 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.56 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.45 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.6 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl2_time1524264124
$$$ hidden_units = 75 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.006 error progress = 2.64675%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.4688%
completion: 12% (epoch=60)(element=6266) loss = 0.004 error progress = 2.37748%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.31568%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.26941%
completion: 24% (epoch=120)(element=6266) loss = 0.003 error progress = 2.23473%
completion: 28% (epoch=140)(element=6266) loss = 0.003 error progress = 2.20868%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.18596%
completion: 36% (epoch=180)(element=6266) loss = 0.002 error progress = 2.16233%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 2.14292%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 2.12568%
completion: 48% (epoch=240)(element=6266) loss = 0.003 error progress = 2.11084%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 2.09637%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 2.08378%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 2.07201%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.06152%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 2.05262%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 2.04356%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 2.03448%
completion: 80% (epoch=400)(element=6266) loss = 0.004 error progress = 2.02624%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 2.01848%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 2.01075%
completion: 92% (epoch=460)(element=6266) loss = 0.002 error progress = 2.00349%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.99735%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.99038%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.12%
#FPplusFN=2089
minError=225 minErrorIndex=1 globalThreshold =-0.96317071782659
metrics area_roc = 91.09%
(beta) metrics area_precision_recall = 70.54%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 235 / 516 (truth == 1) & (prediction < threshold)
TP = 281 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.63 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.54 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.68 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl2_time1524264749
$$$ hidden_units = 100 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.003 error progress = 2.58348%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.41964%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.32824%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.26558%
completion: 20% (epoch=100)(element=6266) loss = 0.003 error progress = 2.22103%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 2.18311%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.15314%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.12609%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 2.10229%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 2.08281%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 2.06665%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 2.05175%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 2.03811%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 2.02538%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 2.01337%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.00259%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 1.99347%
completion: 72% (epoch=360)(element=6266) loss = 0.003 error progress = 1.98427%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.97707%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.96886%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.96156%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.9537%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.94602%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.93807%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 1.9313%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.79%
#FPplusFN=2089
minError=220 minErrorIndex=1 globalThreshold =-1.0152821952056
metrics area_roc = 90.73%
(beta) metrics area_precision_recall = 69.15%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 236 / 516 (truth == 1) & (prediction < threshold)
TP = 280 / 516 (truth == 1) & (prediction >= threshold)
FP = 40 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,533 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.62 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.54 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.97 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.67 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl2_time1524265451
$$$ hidden_units = 125 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.52735%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.36261%
completion: 12% (epoch=60)(element=6266) loss = 0 error progress = 2.26848%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.20515%
completion: 20% (epoch=100)(element=6266) loss = 0.019 error progress = 2.15462%
completion: 24% (epoch=120)(element=6266) loss = 0.004 error progress = 2.11419%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.08225%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 2.05486%
completion: 36% (epoch=180)(element=6266) loss = 0.003 error progress = 2.03128%
completion: 40% (epoch=200)(element=6266) loss = 0.005 error progress = 2.01067%
completion: 44% (epoch=220)(element=6266) loss = 0.003 error progress = 1.99257%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.97646%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.96178%
completion: 56% (epoch=280)(element=6266) loss = 0.005 error progress = 1.94876%
completion: 60% (epoch=300)(element=6266) loss = 0.004 error progress = 1.93582%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.92473%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.91435%
completion: 72% (epoch=360)(element=6266) loss = 0.004 error progress = 1.90431%
completion: 76% (epoch=380)(element=6266) loss = 0.004 error progress = 1.89469%
completion: 80% (epoch=400)(element=6266) loss = 0.004 error progress = 1.88565%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.8773%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.86943%
completion: 92% (epoch=460)(element=6266) loss = 0.004 error progress = 1.86119%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.85387%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.84661%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.65%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.2346237269098
metrics area_roc = 91.7%
(beta) metrics area_precision_recall = 71.49%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 229 / 516 (truth == 1) & (prediction < threshold)
TP = 287 / 516 (truth == 1) & (prediction >= threshold)
FP = 29 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,544 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.56 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl2_time1524266268
$$$ hidden_units = 150 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.49826%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.32628%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.23072%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.16503%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.11714%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.07958%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.0463%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.01973%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.99464%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.97418%
completion: 44% (epoch=220)(element=6266) loss = 0 error progress = 1.95396%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.93622%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 1.91977%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.90393%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.88969%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.87651%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.8642%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.8528%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.84207%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.83261%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.82274%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.81368%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.80551%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.79702%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 1.78908%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.51%
#FPplusFN=2089
minError=228 minErrorIndex=1 globalThreshold =-1.0481989852063
metrics area_roc = 91.47%
(beta) metrics area_precision_recall = 44.29%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 212 / 516 (truth == 1) & (prediction < threshold)
TP = 304 / 516 (truth == 1) & (prediction >= threshold)
FP = 49 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,524 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.64 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.97 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl2_time1524267188
$$$ hidden_units = 175 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.46099%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.28075%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.18403%
completion: 16% (epoch=80)(element=6266) loss = 0.004 error progress = 2.11703%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.06712%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 2.03126%
completion: 28% (epoch=140)(element=6266) loss = 0.002 error progress = 2.00051%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 1.97124%
completion: 36% (epoch=180)(element=6266) loss = 0.006 error progress = 1.94889%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.92611%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.90629%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.88676%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.87046%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.85675%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.84238%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.82951%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.81739%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.80562%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.79489%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.78444%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.77489%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.76523%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.75631%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.74765%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.73989%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.65%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.0740366725404
metrics area_roc = 91.53%
(beta) metrics area_precision_recall = 70.2%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 206 / 516 (truth == 1) & (prediction < threshold)
TP = 310 / 516 (truth == 1) & (prediction >= threshold)
FP = 31 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,542 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.6 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl2_time1524268238
$$$ hidden_units = 200 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.45004%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.27359%
completion: 12% (epoch=60)(element=6266) loss = 0 error progress = 2.18302%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.12213%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.07526%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 2.03613%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.00359%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 1.97623%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.95226%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.92994%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.90983%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.89118%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.87316%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.85807%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.84408%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.83067%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 1.81782%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.80627%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 1.79482%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.78357%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.77253%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.76225%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.75282%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.7436%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.73456%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.46%
#FPplusFN=2089
minError=219 minErrorIndex=1 globalThreshold =-1.0248606087597
metrics area_roc = 91.46%
(beta) metrics area_precision_recall = 71.07%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 206 / 516 (truth == 1) & (prediction < threshold)
TP = 310 / 516 (truth == 1) & (prediction >= threshold)
FP = 35 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,538 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.6 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl2_time1524269434
$$$ hidden_units = 225 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.004 error progress = 2.4211%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.25182%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.15609%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.08814%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.03216%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 1.98839%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.95189%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.92439%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.89909%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.87744%
completion: 44% (epoch=220)(element=6266) loss = 0.01 error progress = 1.85836%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.8405%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.82498%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.81028%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.79685%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.78512%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.77345%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.76236%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.75189%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.74219%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.7334%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.72411%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.71529%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.70746%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.69933%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.04%
#FPplusFN=2089
minError=218 minErrorIndex=1 globalThreshold =-1.0625055475077
metrics area_roc = 91.94%
(beta) metrics area_precision_recall = 71.95%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 203 / 516 (truth == 1) & (prediction < threshold)
TP = 313 / 516 (truth == 1) & (prediction >= threshold)
FP = 26 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,547 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.61 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl2_time1524270795
$$$ hidden_units = 250 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.42897%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.25851%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.15625%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.08665%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.03491%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.99112%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.95572%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.92419%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.8955%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.87198%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.84904%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.8302%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.81336%
completion: 56% (epoch=280)(element=6266) loss = 0 error progress = 1.79668%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.7813%
completion: 64% (epoch=320)(element=6266) loss = 0 error progress = 1.76779%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.75524%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.74271%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.73185%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.72123%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.71129%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.70147%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 1.69213%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.68391%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.67582%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.75%
#FPplusFN=2089
minError=220 minErrorIndex=1 globalThreshold =-1.0415059340325
metrics area_roc = 91.59%
(beta) metrics area_precision_recall = 71.57%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 199 / 516 (truth == 1) & (prediction < threshold)
TP = 317 / 516 (truth == 1) & (prediction >= threshold)
FP = 36 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,537 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.61 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl2_time1524272329
$$$ hidden_units = 275 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.38611%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.20613%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.10642%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.04444%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 1.99618%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.9578%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.92515%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.89987%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.87359%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.85327%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.83414%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.8163%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.79983%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.78537%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.77069%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.75787%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.74552%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.73331%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.72192%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.71137%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 1.7014%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.69159%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.68206%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.67342%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.66466%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.42%
#FPplusFN=2089
minError=219 minErrorIndex=1 globalThreshold =-1.058340887661
metrics area_roc = 91.76%
(beta) metrics area_precision_recall = 70.03%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 214 / 516 (truth == 1) & (prediction < threshold)
TP = 302 / 516 (truth == 1) & (prediction >= threshold)
FP = 28 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,545 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl2_time1524274054
$$$ hidden_units = 300 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.40009%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.23166%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.12984%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.06079%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.01003%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.96796%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.93245%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.90255%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.87648%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.85229%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.83116%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 1.8115%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.79474%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.77888%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.76452%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.75103%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.73778%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.72553%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.71391%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.7027%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.6919%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.6816%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.67181%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.66233%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.65256%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.75%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.0541831263711
metrics area_roc = 91.9%
(beta) metrics area_precision_recall = 71.58%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 199 / 516 (truth == 1) & (prediction < threshold)
TP = 317 / 516 (truth == 1) & (prediction >= threshold)
FP = 36 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,537 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.61 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl2_time1524276010
$$$ hidden_units = 350 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.37269%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.19654%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.09544%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.02452%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 1.96798%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.92342%
completion: 28% (epoch=140)(element=6266) loss = 0 error progress = 1.88773%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 1.85877%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.83203%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 1.80946%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.78914%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.77157%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.75434%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.73755%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.72229%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.70771%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.69415%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.68165%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.66908%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.6578%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.64712%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.63654%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.62648%
completion: 96% (epoch=480)(element=6266) loss = 0 error progress = 1.61678%
completion: 100% (epoch=500)(element=6266) loss = 0 error progress = 1.6071%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.61%
#FPplusFN=2089
minError=209 minErrorIndex=1 globalThreshold =-1.5273674182911
metrics area_roc = 91.86%
(beta) metrics area_precision_recall = 72.82%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 211 / 516 (truth == 1) & (prediction < threshold)
TP = 305 / 516 (truth == 1) & (prediction >= threshold)
FP = 27 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,546 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl2_time1524278449
$$$ hidden_units = 400 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.35984%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.18709%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.0928%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.02347%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 1.96894%
completion: 24% (epoch=120)(element=6266) loss = 0 error progress = 1.92384%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.8862%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.85532%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.82978%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.80698%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.78549%
completion: 48% (epoch=240)(element=6266) loss = 0 error progress = 1.76665%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.74898%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.73225%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.71691%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.70178%
completion: 68% (epoch=340)(element=6266) loss = 0 error progress = 1.68774%
completion: 72% (epoch=360)(element=6266) loss = 0 error progress = 1.67515%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.66294%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.65151%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.64042%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.62938%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.6189%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.60831%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.59857%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.37%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.0512740657227
metrics area_roc = 91.8%
(beta) metrics area_precision_recall = 56.87%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 209 / 516 (truth == 1) & (prediction < threshold)
TP = 307 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl2_time1524281388
$$$ hidden_units = 5 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.06 error progress = 4.67381%
completion: 8% (epoch=40)(element=6266) loss = 0.075 error progress = 4.76843%
completion: 12% (epoch=60)(element=6266) loss = 0.075 error progress = 4.81644%
completion: 16% (epoch=80)(element=6266) loss = 0.075 error progress = 4.84044%
completion: 20% (epoch=100)(element=6266) loss = 0.075 error progress = 4.85484%
completion: 24% (epoch=120)(element=6266) loss = 0.075 error progress = 4.86444%
completion: 28% (epoch=140)(element=6266) loss = 0.075 error progress = 4.8713%
completion: 32% (epoch=160)(element=6266) loss = 0.075 error progress = 4.87645%
completion: 36% (epoch=180)(element=6266) loss = 0.075 error progress = 4.88045%
completion: 40% (epoch=200)(element=6266) loss = 0.075 error progress = 4.88365%
completion: 44% (epoch=220)(element=6266) loss = 0.075 error progress = 4.88627%
completion: 48% (epoch=240)(element=6266) loss = 0.075 error progress = 4.88845%
completion: 52% (epoch=260)(element=6266) loss = 0.075 error progress = 4.8903%
completion: 56% (epoch=280)(element=6266) loss = 0.075 error progress = 4.89188%
completion: 60% (epoch=300)(element=6266) loss = 0.075 error progress = 4.89325%
completion: 64% (epoch=320)(element=6266) loss = 0.075 error progress = 4.89445%
completion: 68% (epoch=340)(element=6266) loss = 0.075 error progress = 4.89551%
completion: 72% (epoch=360)(element=6266) loss = 0.075 error progress = 4.89645%
completion: 76% (epoch=380)(element=6266) loss = 0.075 error progress = 4.89729%
completion: 80% (epoch=400)(element=6266) loss = 0.075 error progress = 4.89805%
completion: 84% (epoch=420)(element=6266) loss = 0.075 error progress = 4.89874%
completion: 88% (epoch=440)(element=6266) loss = 0.075 error progress = 4.89936%
completion: 92% (epoch=460)(element=6266) loss = 0.075 error progress = 4.89993%
completion: 96% (epoch=480)(element=6266) loss = 0.075 error progress = 4.90045%
completion: 100% (epoch=500)(element=6266) loss = 0.075 error progress = 4.90093%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=516 minErrorIndex=1 globalThreshold =-0.45934244860646
metrics area_roc = 50%
(beta) metrics area_precision_recall = 12.35%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 516 / 516 (truth == 1) & (prediction < threshold)
TP = 0 / 516 (truth == 1) & (prediction >= threshold)
FP = 0 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,573 / 1,573 (truth == 0) & (prediction < threshold)
Matthews correlation coefficient = NOT computable
accuracy = 0.75 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl3_time1524281989
$$$ hidden_units = 10 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.077 error progress = 4.44669%
completion: 8% (epoch=40)(element=6266) loss = 0.163 error progress = 4.35586%
completion: 12% (epoch=60)(element=6266) loss = 0.052 error progress = 4.31171%
completion: 16% (epoch=80)(element=6266) loss = 0.018 error progress = 4.28936%
completion: 20% (epoch=100)(element=6266) loss = 0.155 error progress = 4.27059%
completion: 24% (epoch=120)(element=6266) loss = 0.031 error progress = 4.25903%
completion: 28% (epoch=140)(element=6266) loss = 0.09 error progress = 4.24887%
completion: 32% (epoch=160)(element=6266) loss = 0.003 error progress = 4.24064%
completion: 36% (epoch=180)(element=6266) loss = 0.035 error progress = 4.23485%
completion: 40% (epoch=200)(element=6266) loss = 0.065 error progress = 4.22949%
completion: 44% (epoch=220)(element=6266) loss = 0.179 error progress = 4.22521%
completion: 48% (epoch=240)(element=6266) loss = 0.079 error progress = 4.2212%
completion: 52% (epoch=260)(element=6266) loss = 0.025 error progress = 4.218%
completion: 56% (epoch=280)(element=6266) loss = 0.08 error progress = 4.21516%
completion: 60% (epoch=300)(element=6266) loss = 0.164 error progress = 4.21264%
completion: 64% (epoch=320)(element=6266) loss = 0.158 error progress = 4.20979%
completion: 68% (epoch=340)(element=6266) loss = 0.073 error progress = 4.20822%
completion: 72% (epoch=360)(element=6266) loss = 0.005 error progress = 4.20698%
completion: 76% (epoch=380)(element=6266) loss = 0.128 error progress = 4.20567%
completion: 80% (epoch=400)(element=6266) loss = 0.048 error progress = 4.20389%
completion: 84% (epoch=420)(element=6266) loss = 0.049 error progress = 4.20275%
completion: 88% (epoch=440)(element=6266) loss = 0.028 error progress = 4.20159%
completion: 92% (epoch=460)(element=6266) loss = 0 error progress = 4.20021%
completion: 96% (epoch=480)(element=6266) loss = 0.054 error progress = 4.1991%
completion: 100% (epoch=500)(element=6266) loss = 0.128 error progress = 4.19826%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=516 minErrorIndex=1 globalThreshold =-2.6040024013084
metrics area_roc = 78.06%
(beta) metrics area_precision_recall = 34.16%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 516 / 516 (truth == 1) & (prediction < threshold)
TP = 0 / 516 (truth == 1) & (prediction >= threshold)
FP = 0 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,573 / 1,573 (truth == 0) & (prediction < threshold)
Matthews correlation coefficient = NOT computable
accuracy = 0.75 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl3_time1524282588
$$$ hidden_units = 25 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.049 error progress = 3.51953%
completion: 8% (epoch=40)(element=6266) loss = 0.022 error progress = 3.41292%
completion: 12% (epoch=60)(element=6266) loss = 0.056 error progress = 3.36783%
completion: 16% (epoch=80)(element=6266) loss = 0.045 error progress = 3.35211%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 3.35079%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 3.34195%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 3.34043%
completion: 32% (epoch=160)(element=6266) loss = 0.101 error progress = 3.33716%
completion: 36% (epoch=180)(element=6266) loss = 0.016 error progress = 3.34776%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 3.36512%
completion: 44% (epoch=220)(element=6266) loss = 0.013 error progress = 3.37724%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 3.38631%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 3.39244%
completion: 56% (epoch=280)(element=6266) loss = 0.295 error progress = 3.39753%
completion: 60% (epoch=300)(element=6266) loss = 0.136 error progress = 3.4026%
completion: 64% (epoch=320)(element=6266) loss = 0.138 error progress = 3.40624%
completion: 68% (epoch=340)(element=6266) loss = 0.003 error progress = 3.40871%
completion: 72% (epoch=360)(element=6266) loss = 0.139 error progress = 3.41148%
completion: 76% (epoch=380)(element=6266) loss = 0.104 error progress = 3.41329%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 3.41558%
completion: 84% (epoch=420)(element=6266) loss = 0.056 error progress = 3.41629%
completion: 88% (epoch=440)(element=6266) loss = 0.048 error progress = 3.41685%
completion: 92% (epoch=460)(element=6266) loss = 0.008 error progress = 3.41771%
completion: 96% (epoch=480)(element=6266) loss = 0.051 error progress = 3.41772%
completion: 100% (epoch=500)(element=6266) loss = 0.039 error progress = 3.41897%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=340 minErrorIndex=1 globalThreshold =-1.574200948136
metrics area_roc = 84.52%
(beta) metrics area_precision_recall = 46.71%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 516 / 516 (truth == 1) & (prediction < threshold)
TP = 0 / 516 (truth == 1) & (prediction >= threshold)
FP = 0 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,573 / 1,573 (truth == 0) & (prediction < threshold)
Matthews correlation coefficient = NOT computable
accuracy = 0.75 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 1 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl3_time1524283216
$$$ hidden_units = 50 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.062 error progress = 3.1428%
completion: 8% (epoch=40)(element=6266) loss = 0.022 error progress = 2.96735%
completion: 12% (epoch=60)(element=6266) loss = 0.003 error progress = 2.84998%
completion: 16% (epoch=80)(element=6266) loss = 0.01 error progress = 2.77281%
completion: 20% (epoch=100)(element=6266) loss = 0.005 error progress = 2.71565%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 2.66743%
completion: 28% (epoch=140)(element=6266) loss = 0.005 error progress = 2.62443%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 2.58938%
completion: 36% (epoch=180)(element=6266) loss = 0.006 error progress = 2.55963%
completion: 40% (epoch=200)(element=6266) loss = 0.006 error progress = 2.53493%
completion: 44% (epoch=220)(element=6266) loss = 0.003 error progress = 2.5147%
completion: 48% (epoch=240)(element=6266) loss = 0.005 error progress = 2.49353%
completion: 52% (epoch=260)(element=6266) loss = 0.004 error progress = 2.47479%
completion: 56% (epoch=280)(element=6266) loss = 0.007 error progress = 2.45848%
completion: 60% (epoch=300)(element=6266) loss = 0.004 error progress = 2.44302%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.42716%
completion: 68% (epoch=340)(element=6266) loss = 0.005 error progress = 2.41278%
completion: 72% (epoch=360)(element=6266) loss = 0.005 error progress = 2.40147%
completion: 76% (epoch=380)(element=6266) loss = 0.003 error progress = 2.39065%
completion: 80% (epoch=400)(element=6266) loss = 0.004 error progress = 2.38122%
completion: 84% (epoch=420)(element=6266) loss = 0.004 error progress = 2.37474%
completion: 88% (epoch=440)(element=6266) loss = 0.004 error progress = 2.3683%
completion: 92% (epoch=460)(element=6266) loss = 0.007 error progress = 2.36192%
completion: 96% (epoch=480)(element=6266) loss = 0.005 error progress = 2.35518%
completion: 100% (epoch=500)(element=6266) loss = 0.004 error progress = 2.34993%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 83.1%
#FPplusFN=2089
minError=234 minErrorIndex=1 globalThreshold =-0.90066788258754
metrics area_roc = 87.35%
(beta) metrics area_precision_recall = 37.74%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 314 / 516 (truth == 1) & (prediction < threshold)
TP = 202 / 516 (truth == 1) & (prediction >= threshold)
FP = 39 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,534 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.5 ::::
accuracy = 0.83 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.39 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.53 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl3_time1524283916
$$$ hidden_units = 75 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.007 error progress = 2.99998%
completion: 8% (epoch=40)(element=6266) loss = 0.014 error progress = 2.82326%
completion: 12% (epoch=60)(element=6266) loss = 0.01 error progress = 2.71617%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.64054%
completion: 20% (epoch=100)(element=6266) loss = 0.006 error progress = 2.57944%
completion: 24% (epoch=120)(element=6266) loss = 0.018 error progress = 2.52453%
completion: 28% (epoch=140)(element=6266) loss = 0.004 error progress = 2.47409%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.43%
completion: 36% (epoch=180)(element=6266) loss = 0.003 error progress = 2.39214%
completion: 40% (epoch=200)(element=6266) loss = 0.005 error progress = 2.36057%
completion: 44% (epoch=220)(element=6266) loss = 0.003 error progress = 2.33314%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 2.30788%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 2.28403%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 2.26392%
completion: 60% (epoch=300)(element=6266) loss = 0.003 error progress = 2.24437%
completion: 64% (epoch=320)(element=6266) loss = 0.004 error progress = 2.2265%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 2.20896%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 2.195%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 2.1813%
completion: 80% (epoch=400)(element=6266) loss = 0.003 error progress = 2.1684%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 2.15607%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 2.14557%
completion: 92% (epoch=460)(element=6266) loss = 0.1 error progress = 2.13561%
completion: 96% (epoch=480)(element=6266) loss = 0.003 error progress = 2.12657%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 2.11752%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.12%
#FPplusFN=2089
minError=234 minErrorIndex=1 globalThreshold =-1.0177283168913
metrics area_roc = 90.41%
(beta) metrics area_precision_recall = 70.84%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 255 / 516 (truth == 1) & (prediction < threshold)
TP = 261 / 516 (truth == 1) & (prediction >= threshold)
FP = 35 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,538 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.6 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.51 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl3_time1524284708
$$$ hidden_units = 100 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.71912%
completion: 8% (epoch=40)(element=6266) loss = 0.004 error progress = 2.52731%
completion: 12% (epoch=60)(element=6266) loss = 0.003 error progress = 2.4247%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.3533%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.30321%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.26375%
completion: 28% (epoch=140)(element=6266) loss = 0.002 error progress = 2.23054%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 2.201%
completion: 36% (epoch=180)(element=6266) loss = 0.003 error progress = 2.17837%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 2.15651%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 2.13961%
completion: 48% (epoch=240)(element=6266) loss = 0.003 error progress = 2.1231%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 2.10762%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 2.09353%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 2.08085%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 2.06922%
completion: 68% (epoch=340)(element=6266) loss = 0.002 error progress = 2.05834%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 2.04945%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 2.04029%
completion: 80% (epoch=400)(element=6266) loss = 0.003 error progress = 2.03129%
completion: 84% (epoch=420)(element=6266) loss = 0.003 error progress = 2.02297%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 2.01608%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 2.0084%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 2.00097%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.99508%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.45%
#FPplusFN=2089
minError=229 minErrorIndex=1 globalThreshold =-0.93971561458704
metrics area_roc = 90.29%
(beta) metrics area_precision_recall = 71.65%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 266 / 516 (truth == 1) & (prediction < threshold)
TP = 250 / 516 (truth == 1) & (prediction >= threshold)
FP = 17 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,556 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.61 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.48 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl3_time1524285615
$$$ hidden_units = 125 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.002 error progress = 2.65593%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.45666%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.35567%
completion: 16% (epoch=80)(element=6266) loss = 0.003 error progress = 2.29074%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.23879%
completion: 24% (epoch=120)(element=6266) loss = 0.003 error progress = 2.20226%
completion: 28% (epoch=140)(element=6266) loss = 0.003 error progress = 2.17339%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.1476%
completion: 36% (epoch=180)(element=6266) loss = 0.002 error progress = 2.1273%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 2.10776%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 2.09169%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 2.07611%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 2.06274%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 2.04922%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 2.03635%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 2.02504%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 2.01323%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 2.00192%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.99144%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.98105%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.97215%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.96416%
completion: 92% (epoch=460)(element=6266) loss = 0.002 error progress = 1.95524%
completion: 96% (epoch=480)(element=6266) loss = 0.003 error progress = 1.94726%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 1.93902%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.85%
#FPplusFN=2089
minError=212 minErrorIndex=1 globalThreshold =-0.96227313206771
metrics area_roc = 91.23%
(beta) metrics area_precision_recall = 71.08%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 207 / 516 (truth == 1) & (prediction < threshold)
TP = 309 / 516 (truth == 1) & (prediction >= threshold)
FP = 26 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,547 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.6 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl3_time1524286647
$$$ hidden_units = 150 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.011 error progress = 2.64227%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.44835%
completion: 12% (epoch=60)(element=6266) loss = 0.004 error progress = 2.35043%
completion: 16% (epoch=80)(element=6266) loss = 0.002 error progress = 2.28149%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.236%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.19285%
completion: 28% (epoch=140)(element=6266) loss = 0.002 error progress = 2.16048%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 2.13408%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 2.11241%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 2.09045%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 2.07203%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 2.05925%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 2.04694%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 2.03435%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 2.02385%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 2.01213%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 2.00153%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 1.99128%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 1.97963%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.96956%
completion: 84% (epoch=420)(element=6266) loss = 0 error progress = 1.95954%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.95059%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.942%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.9332%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 1.92448%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.98%
#FPplusFN=2089
minError=213 minErrorIndex=1 globalThreshold =-0.93720778223476
metrics area_roc = 91.44%
(beta) metrics area_precision_recall = 72.85%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 228 / 516 (truth == 1) & (prediction < threshold)
TP = 288 / 516 (truth == 1) & (prediction >= threshold)
FP = 23 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,550 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.56 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl3_time1524287856
$$$ hidden_units = 175 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.5551%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.37448%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.27861%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.20923%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.1555%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.11295%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.08223%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 2.0582%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 2.036%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 2.01706%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.99995%
completion: 48% (epoch=240)(element=6266) loss = 0.002 error progress = 1.983%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.97014%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 1.95706%
completion: 60% (epoch=300)(element=6266) loss = 0 error progress = 1.9445%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.93209%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.92051%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.91078%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 1.90107%
completion: 80% (epoch=400)(element=6266) loss = 0.003 error progress = 1.89196%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.88284%
completion: 88% (epoch=440)(element=6266) loss = 0.003 error progress = 1.8742%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.86611%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.85799%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.85025%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.51%
#FPplusFN=2089
minError=223 minErrorIndex=1 globalThreshold =-0.94899696192825
metrics area_roc = 91.16%
(beta) metrics area_precision_recall = 70.62%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 212 / 516 (truth == 1) & (prediction < threshold)
TP = 304 / 516 (truth == 1) & (prediction >= threshold)
FP = 28 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,545 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl3_time1524289259
$$$ hidden_units = 200 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.55865%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.35577%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.23921%
completion: 16% (epoch=80)(element=6266) loss = 0.005 error progress = 2.16298%
completion: 20% (epoch=100)(element=6266) loss = 0.002 error progress = 2.10802%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.0652%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.02962%
completion: 32% (epoch=160)(element=6266) loss = 0.002 error progress = 2.00117%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.9784%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.95585%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.93493%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.91701%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.90071%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.88464%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.87027%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.85842%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.84627%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.83484%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.82415%
completion: 80% (epoch=400)(element=6266) loss = 0.002 error progress = 1.81365%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.80373%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.79579%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.78771%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.78029%
completion: 100% (epoch=500)(element=6266) loss = 0.002 error progress = 1.77199%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.94%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.0922449099919
metrics area_roc = 91.43%
(beta) metrics area_precision_recall = 70.72%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 186 / 516 (truth == 1) & (prediction < threshold)
TP = 330 / 516 (truth == 1) & (prediction >= threshold)
FP = 45 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,528 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.64 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.97 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.74 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl3_time1524290861
$$$ hidden_units = 225 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.001 error progress = 2.4919%
completion: 8% (epoch=40)(element=6266) loss = 0.001 error progress = 2.3187%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.22185%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.15491%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.10303%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.0597%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 2.02506%
completion: 32% (epoch=160)(element=6266) loss = 0 error progress = 1.99628%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.97039%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.94944%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.93102%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.91379%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.89812%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.8836%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.86951%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 1.857%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.84565%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 1.8343%
completion: 76% (epoch=380)(element=6266) loss = 0.002 error progress = 1.82444%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.81509%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.80531%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.79721%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.78822%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.78023%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.77214%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.75%
#FPplusFN=2089
minError=205 minErrorIndex=1 globalThreshold =-0.949511799919
metrics area_roc = 91.36%
(beta) metrics area_precision_recall = 73.17%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 206 / 516 (truth == 1) & (prediction < threshold)
TP = 310 / 516 (truth == 1) & (prediction >= threshold)
FP = 29 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,544 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.6 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl3_time1524292705
$$$ hidden_units = 250 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0 error progress = 2.49793%
completion: 8% (epoch=40)(element=6266) loss = 0.029 error progress = 2.31532%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.21411%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.14321%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.08981%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.04725%
completion: 28% (epoch=140)(element=6266) loss = 0.002 error progress = 2.01219%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.98359%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.95648%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.93279%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.9137%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.89809%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.88352%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 1.86881%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.85399%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.84158%
completion: 68% (epoch=340)(element=6266) loss = 0.003 error progress = 1.82964%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.8182%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.80675%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.79595%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 1.78547%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.77662%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.76791%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.75921%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.75017%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.8%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.0273489124369
metrics area_roc = 91.42%
(beta) metrics area_precision_recall = 70.68%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 198 / 516 (truth == 1) & (prediction < threshold)
TP = 318 / 516 (truth == 1) & (prediction >= threshold)
FP = 36 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,537 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.62 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl3_time1524294804
$$$ hidden_units = 275 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.006 error progress = 2.46891%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.28445%
completion: 12% (epoch=60)(element=6266) loss = 0.002 error progress = 2.18395%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.11667%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.07124%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.03032%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.99956%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.97195%
completion: 36% (epoch=180)(element=6266) loss = 0 error progress = 1.94703%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.92442%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.90393%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.88566%
completion: 52% (epoch=260)(element=6266) loss = 0 error progress = 1.86807%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 1.85284%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.8385%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.82674%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.81377%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.801%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.79079%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.78116%
completion: 84% (epoch=420)(element=6266) loss = 0.002 error progress = 1.77188%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.76259%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.75409%
completion: 96% (epoch=480)(element=6266) loss = 0.002 error progress = 1.74541%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.7372%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.52%
#FPplusFN=2089
minError=204 minErrorIndex=1 globalThreshold =-1.0860379262159
metrics area_roc = 91.57%
(beta) metrics area_precision_recall = 53.54%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 186 / 516 (truth == 1) & (prediction < threshold)
TP = 330 / 516 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.7 ::::
accuracy = 0.9 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.64 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.75 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl3_time1524297247
$$$ hidden_units = 300 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.002 error progress = 2.45488%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.27077%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.17572%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.1118%
completion: 20% (epoch=100)(element=6266) loss = 0 error progress = 2.06294%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 2.02392%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.99214%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.96455%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.94109%
completion: 40% (epoch=200)(element=6266) loss = 0.002 error progress = 1.92303%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.90396%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.8885%
completion: 52% (epoch=260)(element=6266) loss = 0.002 error progress = 1.87185%
completion: 56% (epoch=280)(element=6266) loss = 0.002 error progress = 1.85657%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.84288%
completion: 64% (epoch=320)(element=6266) loss = 0.001 error progress = 1.83048%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.81826%
completion: 72% (epoch=360)(element=6266) loss = 0.002 error progress = 1.80761%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.79718%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.78765%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.77877%
completion: 88% (epoch=440)(element=6266) loss = 0.002 error progress = 1.77061%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.76255%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.75424%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.74629%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.27%
#FPplusFN=2089
minError=213 minErrorIndex=1 globalThreshold =-1.0231373422032
metrics area_roc = 91.13%
(beta) metrics area_precision_recall = 71.64%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 211 / 516 (truth == 1) & (prediction < threshold)
TP = 305 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl3_time1524299926
$$$ hidden_units = 350 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.006 error progress = 2.45442%
completion: 8% (epoch=40)(element=6266) loss = 0.002 error progress = 2.26902%
completion: 12% (epoch=60)(element=6266) loss = 0.003 error progress = 2.16788%
completion: 16% (epoch=80)(element=6266) loss = 0 error progress = 2.0956%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.04385%
completion: 24% (epoch=120)(element=6266) loss = 0.002 error progress = 2.00007%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.9655%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.93574%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.90933%
completion: 40% (epoch=200)(element=6266) loss = 0.001 error progress = 1.88562%
completion: 44% (epoch=220)(element=6266) loss = 0.002 error progress = 1.86407%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.84645%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.82942%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.81381%
completion: 60% (epoch=300)(element=6266) loss = 0.001 error progress = 1.79933%
completion: 64% (epoch=320)(element=6266) loss = 0.002 error progress = 1.78654%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.77531%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.76394%
completion: 76% (epoch=380)(element=6266) loss = 0.001 error progress = 1.75345%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.74276%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.73203%
completion: 88% (epoch=440)(element=6266) loss = 0 error progress = 1.72152%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.71271%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.70416%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.6951%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.89%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.1315349261883
metrics area_roc = 91.73%
(beta) metrics area_precision_recall = 53.59%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 198 / 516 (truth == 1) & (prediction < threshold)
TP = 318 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.62 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl3_time1524303274
$$$ hidden_units = 400 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=20)(element=6266) loss = 0.002 error progress = 2.41317%
completion: 8% (epoch=40)(element=6266) loss = 0 error progress = 2.24299%
completion: 12% (epoch=60)(element=6266) loss = 0.001 error progress = 2.14574%
completion: 16% (epoch=80)(element=6266) loss = 0.001 error progress = 2.07845%
completion: 20% (epoch=100)(element=6266) loss = 0.001 error progress = 2.0286%
completion: 24% (epoch=120)(element=6266) loss = 0.001 error progress = 1.98792%
completion: 28% (epoch=140)(element=6266) loss = 0.001 error progress = 1.95564%
completion: 32% (epoch=160)(element=6266) loss = 0.001 error progress = 1.9292%
completion: 36% (epoch=180)(element=6266) loss = 0.001 error progress = 1.90351%
completion: 40% (epoch=200)(element=6266) loss = 0 error progress = 1.87961%
completion: 44% (epoch=220)(element=6266) loss = 0.001 error progress = 1.85817%
completion: 48% (epoch=240)(element=6266) loss = 0.001 error progress = 1.84029%
completion: 52% (epoch=260)(element=6266) loss = 0.001 error progress = 1.82423%
completion: 56% (epoch=280)(element=6266) loss = 0.001 error progress = 1.80789%
completion: 60% (epoch=300)(element=6266) loss = 0.002 error progress = 1.79285%
completion: 64% (epoch=320)(element=6266) loss = 0 error progress = 1.77802%
completion: 68% (epoch=340)(element=6266) loss = 0.001 error progress = 1.76454%
completion: 72% (epoch=360)(element=6266) loss = 0.001 error progress = 1.7523%
completion: 76% (epoch=380)(element=6266) loss = 0 error progress = 1.74042%
completion: 80% (epoch=400)(element=6266) loss = 0.001 error progress = 1.72928%
completion: 84% (epoch=420)(element=6266) loss = 0.001 error progress = 1.71915%
completion: 88% (epoch=440)(element=6266) loss = 0.001 error progress = 1.70893%
completion: 92% (epoch=460)(element=6266) loss = 0.001 error progress = 1.69999%
completion: 96% (epoch=480)(element=6266) loss = 0.001 error progress = 1.69147%
completion: 100% (epoch=500)(element=6266) loss = 0.001 error progress = 1.68215%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.75%
#FPplusFN=2089
minError=212 minErrorIndex=1 globalThreshold =-1.1234845801193
metrics area_roc = 91.15%
(beta) metrics area_precision_recall = 72.06%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 201 / 516 (truth == 1) & (prediction < threshold)
TP = 315 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.61 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl3_time1524307476
@ @ [1] AUPR = 41.53% MCC = 0.2 F1_score = 0.11 AUROC = 73.65% hidden units = 5 hidden layers = 1 @ @
@ @ [2] AUPR = 64.62% MCC = 0.49 F1_score = 0.52 AUROC = 88.81% hidden units = 10 hidden layers = 1 @ @
@ @ [3] AUPR = 68.62% MCC = 0.56 F1_score = 0.59 AUROC = 90.15% hidden units = 25 hidden layers = 1 @ @
@ @ [4] AUPR = 68.95% MCC = 0.56 F1_score = 0.57 AUROC = 90.01% hidden units = 50 hidden layers = 1 @ @
@ @ [5] AUPR = 67.68% MCC = 0.59 F1_score = 0.64 AUROC = 91.24% hidden units = 75 hidden layers = 1 @ @
@ @ [6] AUPR = 72.7% MCC = 0.64 F1_score = 0.67 AUROC = 91.97% hidden units = 100 hidden layers = 1 @ @
@ @ [7] AUPR = 71.72% MCC = 0.66 F1_score = 0.69 AUROC = 90.85% hidden units = 125 hidden layers = 1 @ @
@ @ [8] AUPR = 70.38% MCC = 0.65 F1_score = 0.7 AUROC = 91.8% hidden units = 150 hidden layers = 1 @ @
@ @ [9] AUPR = 67.84% MCC = 0.65 F1_score = 0.7 AUROC = 90.64% hidden units = 175 hidden layers = 1 @ @
@ @ [10] AUPR = 69.92% MCC = 0.6 F1_score = 0.64 AUROC = 90.39% hidden units = 200 hidden layers = 1 @ @
@ @ [11] AUPR = 70.39% MCC = 0.64 F1_score = 0.69 AUROC = 91.29% hidden units = 225 hidden layers = 1 @ @
@ @ [12] AUPR = 70.96% MCC = 0.65 F1_score = 0.7 AUROC = 90.94% hidden units = 250 hidden layers = 1 @ @
@ @ [13] AUPR = 69.41% MCC = 0.65 F1_score = 0.69 AUROC = 91.04% hidden units = 275 hidden layers = 1 @ @
@ @ [14] AUPR = 68.8% MCC = 0.66 F1_score = 0.71 AUROC = 91.89% hidden units = 300 hidden layers = 1 @ @
@ @ [15] AUPR = 68.98% MCC = 0.64 F1_score = 0.68 AUROC = 90.57% hidden units = 350 hidden layers = 1 @ @
@ @ [16] AUPR = 71.18% MCC = 0.68 F1_score = 0.72 AUROC = 93.1% hidden units = 400 hidden layers = 1 @ @
@ @ [17] AUPR = 18.14% MCC = -2 F1_score = 0 AUROC = 62.07% hidden units = 5 hidden layers = 2 @ @
@ @ [18] AUPR = 49.37% MCC = 0.24 F1_score = 0.17 AUROC = 82.32% hidden units = 10 hidden layers = 2 @ @
@ @ [19] AUPR = 65.89% MCC = 0.41 F1_score = 0.37 AUROC = 89.13% hidden units = 25 hidden layers = 2 @ @
@ @ [20] AUPR = 66.59% MCC = 0.56 F1_score = 0.6 AUROC = 89.91% hidden units = 50 hidden layers = 2 @ @
@ @ [21] AUPR = 70.54% MCC = 0.63 F1_score = 0.68 AUROC = 91.09% hidden units = 75 hidden layers = 2 @ @
@ @ [22] AUPR = 69.15% MCC = 0.62 F1_score = 0.67 AUROC = 90.73% hidden units = 100 hidden layers = 2 @ @
@ @ [23] AUPR = 71.49% MCC = 0.65 F1_score = 0.69 AUROC = 91.7% hidden units = 125 hidden layers = 2 @ @
@ @ [24] AUPR = 44.29% MCC = 0.64 F1_score = 0.7 AUROC = 91.47% hidden units = 150 hidden layers = 2 @ @
@ @ [25] AUPR = 70.2% MCC = 0.68 F1_score = 0.72 AUROC = 91.53% hidden units = 175 hidden layers = 2 @ @
@ @ [26] AUPR = 71.07% MCC = 0.67 F1_score = 0.72 AUROC = 91.46% hidden units = 200 hidden layers = 2 @ @
@ @ [27] AUPR = 71.95% MCC = 0.69 F1_score = 0.73 AUROC = 91.94% hidden units = 225 hidden layers = 2 @ @
@ @ [28] AUPR = 71.57% MCC = 0.68 F1_score = 0.73 AUROC = 91.59% hidden units = 250 hidden layers = 2 @ @
@ @ [29] AUPR = 70.03% MCC = 0.67 F1_score = 0.71 AUROC = 91.76% hidden units = 275 hidden layers = 2 @ @
@ @ [30] AUPR = 71.58% MCC = 0.68 F1_score = 0.73 AUROC = 91.9% hidden units = 300 hidden layers = 2 @ @
@ @ [31] AUPR = 72.82% MCC = 0.68 F1_score = 0.72 AUROC = 91.86% hidden units = 350 hidden layers = 2 @ @
@ @ [32] AUPR = 56.87% MCC = 0.67 F1_score = 0.72 AUROC = 91.8% hidden units = 400 hidden layers = 2 @ @
@ @ [33] AUPR = 12.35% MCC = -2 F1_score = 0 AUROC = 50% hidden units = 5 hidden layers = 3 @ @
@ @ [34] AUPR = 34.16% MCC = -2 F1_score = 0 AUROC = 78.06% hidden units = 10 hidden layers = 3 @ @
@ @ [35] AUPR = 46.71% MCC = -2 F1_score = 0 AUROC = 84.52% hidden units = 25 hidden layers = 3 @ @
@ @ [36] AUPR = 37.74% MCC = 0.5 F1_score = 0.53 AUROC = 87.35% hidden units = 50 hidden layers = 3 @ @
@ @ [37] AUPR = 70.84% MCC = 0.6 F1_score = 0.64 AUROC = 90.41% hidden units = 75 hidden layers = 3 @ @
@ @ [38] AUPR = 71.65% MCC = 0.61 F1_score = 0.64 AUROC = 90.29% hidden units = 100 hidden layers = 3 @ @
@ @ [39] AUPR = 71.08% MCC = 0.68 F1_score = 0.73 AUROC = 91.23% hidden units = 125 hidden layers = 3 @ @
@ @ [40] AUPR = 72.85% MCC = 0.66 F1_score = 0.7 AUROC = 91.44% hidden units = 150 hidden layers = 3 @ @
@ @ [41] AUPR = 70.62% MCC = 0.67 F1_score = 0.72 AUROC = 91.16% hidden units = 175 hidden layers = 3 @ @
@ @ [42] AUPR = 70.72% MCC = 0.69 F1_score = 0.74 AUROC = 91.43% hidden units = 200 hidden layers = 3 @ @
@ @ [43] AUPR = 73.17% MCC = 0.68 F1_score = 0.73 AUROC = 91.36% hidden units = 225 hidden layers = 3 @ @
@ @ [44] AUPR = 70.68% MCC = 0.68 F1_score = 0.73 AUROC = 91.42% hidden units = 250 hidden layers = 3 @ @
@ @ [45] AUPR = 53.54% MCC = 0.7 F1_score = 0.75 AUROC = 91.57% hidden units = 275 hidden layers = 3 @ @
@ @ [46] AUPR = 71.64% MCC = 0.67 F1_score = 0.71 AUROC = 91.13% hidden units = 300 hidden layers = 3 @ @
@ @ [47] AUPR = 53.59% MCC = 0.69 F1_score = 0.73 AUROC = 91.73% hidden units = 350 hidden layers = 3 @ @
@ @ [48] AUPR = 72.06% MCC = 0.68 F1_score = 0.73 AUROC = 91.15% hidden units = 400 hidden layers = 3 @ @
modelFileVect[45]
modelFileToLoad =./models/model_hus275_hl3_time1524297247
### executeTest(loadedModel, test_patient_profile)
Correct predictions = 89.99%
#FPplusFN=2088
minError=189 minErrorIndex=1 globalThreshold =-0.97454413050804
metrics area_roc = 94.94%
(beta) metrics area_precision_recall = 76.89%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 181 / 535 (truth == 1) & (prediction < threshold)
TP = 354 / 535 (truth == 1) & (prediction >= threshold)
FP = 28 / 1,553 (truth == 0) & (prediction >= threshold)
TN = 1,525 / 1,553 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.73 ::::
accuracy = 0.9 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.66 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.77 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
':':':':' lastMCC = 0.73 lastF1score = 0.77 ':':':':'
command: rm ./models/model_hus5_hl1_time1524250075
command: rm ./models/model_hus10_hl1_time1524250442
command: rm ./models/model_hus25_hl1_time1524250828
command: rm ./models/model_hus50_hl1_time1524251245
command: rm ./models/model_hus75_hl1_time1524251696
command: rm ./models/model_hus100_hl1_time1524252209
command: rm ./models/model_hus125_hl1_time1524252784
command: rm ./models/model_hus150_hl1_time1524253418
command: rm ./models/model_hus175_hl1_time1524254125
command: rm ./models/model_hus200_hl1_time1524254889
command: rm ./models/model_hus225_hl1_time1524255759
command: rm ./models/model_hus250_hl1_time1524256726
command: rm ./models/model_hus275_hl1_time1524257786
command: rm ./models/model_hus300_hl1_time1524258968
command: rm ./models/model_hus350_hl1_time1524260384
command: rm ./models/model_hus400_hl1_time1524262092
command: rm ./models/model_hus5_hl2_time1524262568
command: rm ./models/model_hus10_hl2_time1524263057
command: rm ./models/model_hus25_hl2_time1524263562
command: rm ./models/model_hus50_hl2_time1524264124
command: rm ./models/model_hus75_hl2_time1524264749
command: rm ./models/model_hus100_hl2_time1524265451
command: rm ./models/model_hus125_hl2_time1524266268
command: rm ./models/model_hus150_hl2_time1524267188
command: rm ./models/model_hus175_hl2_time1524268238
command: rm ./models/model_hus200_hl2_time1524269434
command: rm ./models/model_hus225_hl2_time1524270795
command: rm ./models/model_hus250_hl2_time1524272329
command: rm ./models/model_hus275_hl2_time1524274054
command: rm ./models/model_hus300_hl2_time1524276010
command: rm ./models/model_hus350_hl2_time1524278449
command: rm ./models/model_hus400_hl2_time1524281388
command: rm ./models/model_hus5_hl3_time1524281989
command: rm ./models/model_hus10_hl3_time1524282588
command: rm ./models/model_hus25_hl3_time1524283216
command: rm ./models/model_hus50_hl3_time1524283916
command: rm ./models/model_hus75_hl3_time1524284708
command: rm ./models/model_hus100_hl3_time1524285615
command: rm ./models/model_hus125_hl3_time1524286647
command: rm ./models/model_hus150_hl3_time1524287856
command: rm ./models/model_hus175_hl3_time1524289259
command: rm ./models/model_hus200_hl3_time1524290861
command: rm ./models/model_hus225_hl3_time1524292705
command: rm ./models/model_hus250_hl3_time1524294804
command: rm ./models/model_hus275_hl3_time1524297247
command: rm ./models/model_hus300_hl3_time1524299926
command: rm ./models/model_hus350_hl3_time1524303274
command: rm ./models/model_hus400_hl3_time1524307476
duration complete execution: 57,766 seconds
duration complete execution: 00 days, 16 hours, 02 minutes, 46 seconds