Datasets
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Your job 653218 ("-2018-04-20_rand57242_allOn_lr0.01") has been submitted
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file: script_start.lua
author Davide Chicco <davide.chicco@gmail.com>
Fri Apr 20 14:42:07 2018
Readin' ../data/LungCancerDataset_AllRecords_NORM.csv
OPTIM_PACKAGE = true
XAVIER_INITIALIZATION = true
DROPOUT_FLAG = true
MOMENTUM_ALPHA = 0.5
MOMENTUM = true
LEARN_RATE = 0.001
ITERATIONS = 200
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=8)(element=6266) loss = 0.038 error progress = 4.6316%
completion: 8% (epoch=16)(element=6266) loss = 0.057 error progress = 4.53361%
completion: 12% (epoch=24)(element=6266) loss = 0.062 error progress = 4.49173%
completion: 16% (epoch=32)(element=6266) loss = 0.042 error progress = 4.46184%
completion: 20% (epoch=40)(element=6266) loss = 0.107 error progress = 4.40591%
completion: 24% (epoch=48)(element=6266) loss = 0.031 error progress = 4.36311%
completion: 28% (epoch=56)(element=6266) loss = 0.041 error progress = 4.32067%
completion: 32% (epoch=64)(element=6266) loss = 0.034 error progress = 4.29043%
completion: 36% (epoch=72)(element=6266) loss = 0.033 error progress = 4.26955%
completion: 40% (epoch=80)(element=6266) loss = 0.038 error progress = 4.25256%
completion: 44% (epoch=88)(element=6266) loss = 0.111 error progress = 4.23631%
completion: 48% (epoch=96)(element=6266) loss = 0.033 error progress = 4.22437%
completion: 52% (epoch=104)(element=6266) loss = 0.12 error progress = 4.21449%
completion: 56% (epoch=112)(element=6266) loss = 0.038 error progress = 4.20511%
completion: 60% (epoch=120)(element=6266) loss = 0.035 error progress = 4.19746%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 4.18915%
completion: 68% (epoch=136)(element=6266) loss = 0.119 error progress = 4.18345%
completion: 72% (epoch=144)(element=6266) loss = 0.041 error progress = 4.17822%
completion: 76% (epoch=152)(element=6266) loss = 0.027 error progress = 4.17099%
completion: 80% (epoch=160)(element=6266) loss = 0.035 error progress = 4.16706%
completion: 84% (epoch=168)(element=6266) loss = 0.041 error progress = 4.16262%
completion: 88% (epoch=176)(element=6266) loss = 0.035 error progress = 4.15925%
completion: 92% (epoch=184)(element=6266) loss = 0.01 error progress = 4.15528%
completion: 96% (epoch=192)(element=6266) loss = 0.109 error progress = 4.14869%
completion: 100% (epoch=200)(element=6266) loss = 0.053 error progress = 4.14316%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 77.17%
#FPplusFN=2089
minError=460 minErrorIndex=1 globalThreshold =-1.4235741570591
metrics area_roc = 76.5%
(beta) metrics area_precision_recall = 43.25%
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 = 469 / 516 (truth == 1) & (prediction < threshold)
TP = 47 / 516 (truth == 1) & (prediction >= threshold)
FP = 8 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,565 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.23 ::::
accuracy = 0.77 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.09 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.16 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl1_time1524249865
$$$ hidden_units = 10 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.033 error progress = 4.01554%
completion: 8% (epoch=16)(element=6266) loss = 0.008 error progress = 3.712%
completion: 12% (epoch=24)(element=6266) loss = 0.026 error progress = 3.54609%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 3.44592%
completion: 20% (epoch=40)(element=6266) loss = 0.025 error progress = 3.36967%
completion: 24% (epoch=48)(element=6266) loss = 0.018 error progress = 3.31831%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 3.27765%
completion: 32% (epoch=64)(element=6266) loss = 0.018 error progress = 3.24797%
completion: 36% (epoch=72)(element=6266) loss = 0.012 error progress = 3.21915%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 3.20036%
completion: 44% (epoch=88)(element=6266) loss = 0.026 error progress = 3.18269%
completion: 48% (epoch=96)(element=6266) loss = 0.028 error progress = 3.16457%
completion: 52% (epoch=104)(element=6266) loss = 0.067 error progress = 3.15095%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 3.13793%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 3.12773%
completion: 64% (epoch=128)(element=6266) loss = 0.023 error progress = 3.11715%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 3.10821%
completion: 72% (epoch=144)(element=6266) loss = 0.022 error progress = 3.09849%
completion: 76% (epoch=152)(element=6266) loss = 0.021 error progress = 3.09068%
completion: 80% (epoch=160)(element=6266) loss = 0.026 error progress = 3.08242%
completion: 84% (epoch=168)(element=6266) loss = 0.025 error progress = 3.07481%
completion: 88% (epoch=176)(element=6266) loss = 0.016 error progress = 3.06708%
completion: 92% (epoch=184)(element=6266) loss = 0.067 error progress = 3.05912%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 3.05244%
completion: 100% (epoch=200)(element=6266) loss = 0.005 error progress = 3.04568%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 80.13%
#FPplusFN=2089
minError=294 minErrorIndex=1 globalThreshold =-1.232642570226
metrics area_roc = 88.1%
(beta) metrics area_precision_recall = 62.29%
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 = 402 / 516 (truth == 1) & (prediction < threshold)
TP = 114 / 516 (truth == 1) & (prediction >= threshold)
FP = 13 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,560 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.38 ::::
accuracy = 0.8 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.22 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.35 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl1_time1524250003
$$$ hidden_units = 25 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.85935%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 3.49081%
completion: 12% (epoch=24)(element=6266) loss = 0.008 error progress = 3.29676%
completion: 16% (epoch=32)(element=6266) loss = 0.007 error progress = 3.16986%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 3.0763%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 3.00822%
completion: 28% (epoch=56)(element=6266) loss = 0.016 error progress = 2.95247%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.90856%
completion: 36% (epoch=72)(element=6266) loss = 0.004 error progress = 2.87281%
completion: 40% (epoch=80)(element=6266) loss = 0.017 error progress = 2.84473%
completion: 44% (epoch=88)(element=6266) loss = 0.006 error progress = 2.82015%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.79828%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.78057%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.7653%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.75087%
completion: 64% (epoch=128)(element=6266) loss = 0.007 error progress = 2.73757%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.72478%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.7134%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.70283%
completion: 80% (epoch=160)(element=6266) loss = 0.012 error progress = 2.69306%
completion: 84% (epoch=168)(element=6266) loss = 0.01 error progress = 2.68389%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 2.67565%
completion: 92% (epoch=184)(element=6266) loss = 0.017 error progress = 2.66747%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 2.65994%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 2.65243%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 80.52%
#FPplusFN=2089
minError=263 minErrorIndex=1 globalThreshold =-1.5493746058674
metrics area_roc = 90.68%
(beta) metrics area_precision_recall = 64.05%
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 = 373 / 516 (truth == 1) & (prediction < threshold)
TP = 143 / 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 = +0.4 ::::
accuracy = 0.81 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.28 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.41 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl1_time1524250147
$$$ hidden_units = 50 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 3.33044%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 3.0375%
completion: 12% (epoch=24)(element=6266) loss = 0.011 error progress = 2.88361%
completion: 16% (epoch=32)(element=6266) loss = 0.048 error progress = 2.78259%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.70372%
completion: 24% (epoch=48)(element=6266) loss = 0.027 error progress = 2.64124%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 2.5888%
completion: 32% (epoch=64)(element=6266) loss = 0.007 error progress = 2.54659%
completion: 36% (epoch=72)(element=6266) loss = 0.026 error progress = 2.50869%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.476%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.4458%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.42038%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.39793%
completion: 56% (epoch=112)(element=6266) loss = 0.009 error progress = 2.3769%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.35751%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.34031%
completion: 68% (epoch=136)(element=6266) loss = 0.005 error progress = 2.3233%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 2.30755%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 2.29314%
completion: 80% (epoch=160)(element=6266) loss = 0.012 error progress = 2.27977%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.26655%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.25462%
completion: 92% (epoch=184)(element=6266) loss = 0.004 error progress = 2.24328%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 2.23299%
completion: 100% (epoch=200)(element=6266) loss = 0.013 error progress = 2.2231%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.21%
#FPplusFN=2089
minError=227 minErrorIndex=1 globalThreshold =-1.3437924940891
metrics area_roc = 90.58%
(beta) metrics area_precision_recall = 70.43%
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 = 289 / 516 (truth == 1) & (prediction < threshold)
TP = 227 / 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 = +0.57 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.44 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_hl1_time1524250304
$$$ hidden_units = 75 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.004 error progress = 3.27997%
completion: 8% (epoch=16)(element=6266) loss = 0.024 error progress = 2.95195%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.78518%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.67405%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.59284%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.53167%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.48115%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.43963%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.40226%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 2.3718%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.34505%
completion: 48% (epoch=96)(element=6266) loss = 0.009 error progress = 2.31978%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.29912%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.27924%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.26184%
completion: 64% (epoch=128)(element=6266) loss = 0.008 error progress = 2.24623%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.23206%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 2.21842%
completion: 76% (epoch=152)(element=6266) loss = 0.013 error progress = 2.20569%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.19368%
completion: 84% (epoch=168)(element=6266) loss = 0.01 error progress = 2.18222%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.17107%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.16023%
completion: 96% (epoch=192)(element=6266) loss = 0.007 error progress = 2.15055%
completion: 100% (epoch=200)(element=6266) loss = 0.006 error progress = 2.14116%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.93%
#FPplusFN=2089
minError=230 minErrorIndex=1 globalThreshold =-1.3522050197313
metrics area_roc = 91.83%
(beta) metrics area_precision_recall = 70.59%
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 = 271 / 516 (truth == 1) & (prediction < threshold)
TP = 245 / 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 = +0.59 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.47 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.63 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl1_time1524250481
$$$ hidden_units = 100 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.15224%
completion: 8% (epoch=16)(element=6266) loss = 0.006 error progress = 2.85333%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.69507%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.58309%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 2.50217%
completion: 24% (epoch=48)(element=6266) loss = 0.021 error progress = 2.43618%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.38451%
completion: 32% (epoch=64)(element=6266) loss = 0.006 error progress = 2.34127%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.30419%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.27221%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.24412%
completion: 48% (epoch=96)(element=6266) loss = 0.004 error progress = 2.21964%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.19697%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.17678%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.15901%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.14196%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 2.12685%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 2.11215%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.09845%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.08612%
completion: 84% (epoch=168)(element=6266) loss = 0.007 error progress = 2.07347%
completion: 88% (epoch=176)(element=6266) loss = 0.004 error progress = 2.06202%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.05053%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.04005%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 2.03008%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.64%
#FPplusFN=2089
minError=203 minErrorIndex=1 globalThreshold =-1.3099846154621
metrics area_roc = 92.07%
(beta) metrics area_precision_recall = 73.04%
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 = 258 / 516 (truth == 1) & (prediction < threshold)
TP = 258 / 516 (truth == 1) & (prediction >= threshold)
FP = 21 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,552 / 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 = 0.5 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.65 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl1_time1524250677
$$$ hidden_units = 125 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.12472%
completion: 8% (epoch=16)(element=6266) loss = 0.023 error progress = 2.80397%
completion: 12% (epoch=24)(element=6266) loss = 0.018 error progress = 2.64023%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.52487%
completion: 20% (epoch=40)(element=6266) loss = 0.006 error progress = 2.44369%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.38055%
completion: 28% (epoch=56)(element=6266) loss = 0.004 error progress = 2.32995%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.28799%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.25252%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.22085%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.19418%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.16987%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.14759%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.12859%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.11127%
completion: 64% (epoch=128)(element=6266) loss = 0.004 error progress = 2.09512%
completion: 68% (epoch=136)(element=6266) loss = 0.01 error progress = 2.08033%
completion: 72% (epoch=144)(element=6266) loss = 0.01 error progress = 2.06607%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.05269%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 2.04011%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.02845%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 2.01676%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.00654%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.99609%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.98624%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.17%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.3770883403015
metrics area_roc = 92.04%
(beta) metrics area_precision_recall = 72.99%
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 = 250 / 516 (truth == 1) & (prediction < threshold)
TP = 266 / 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 = +0.63 ::::
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_hus125_hl1_time1524250897
$$$ hidden_units = 150 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.012 error progress = 3.06228%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.77364%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.62158%
completion: 16% (epoch=32)(element=6266) loss = 0.007 error progress = 2.51611%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.43594%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.3751%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.32243%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.27923%
completion: 36% (epoch=72)(element=6266) loss = 0.007 error progress = 2.24215%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 2.21194%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.18456%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.16036%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.13885%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.11973%
completion: 60% (epoch=120)(element=6266) loss = 0.006 error progress = 2.10219%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.08523%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.06965%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 2.05583%
completion: 76% (epoch=152)(element=6266) loss = 0.005 error progress = 2.04245%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.02938%
completion: 84% (epoch=168)(element=6266) loss = 0.018 error progress = 2.01783%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.00579%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.99439%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.98384%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.97414%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.36%
#FPplusFN=2089
minError=213 minErrorIndex=1 globalThreshold =-1.3496686711521
metrics area_roc = 92.45%
(beta) metrics area_precision_recall = 73.53%
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 = 241 / 516 (truth == 1) & (prediction < threshold)
TP = 275 / 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 = +0.64 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.53 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_hus150_hl1_time1524251150
$$$ hidden_units = 175 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.0767%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.77617%
completion: 12% (epoch=24)(element=6266) loss = 0.007 error progress = 2.61137%
completion: 16% (epoch=32)(element=6266) loss = 0.011 error progress = 2.50298%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.42074%
completion: 24% (epoch=48)(element=6266) loss = 0.016 error progress = 2.35633%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.30518%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.26231%
completion: 36% (epoch=72)(element=6266) loss = 0.004 error progress = 2.22623%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.19471%
completion: 44% (epoch=88)(element=6266) loss = 0.003 error progress = 2.16825%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.14436%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.12423%
completion: 56% (epoch=112)(element=6266) loss = 0.003 error progress = 2.10492%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.08646%
completion: 64% (epoch=128)(element=6266) loss = 0.004 error progress = 2.06881%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.05302%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.03828%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.02434%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.01088%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.9987%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.98632%
completion: 92% (epoch=184)(element=6266) loss = 0.009 error progress = 1.97504%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.96466%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.95466%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.7%
#FPplusFN=2089
minError=208 minErrorIndex=1 globalThreshold =-1.3275973086492
metrics area_roc = 92.42%
(beta) metrics area_precision_recall = 73.75%
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 = 239 / 516 (truth == 1) & (prediction < threshold)
TP = 277 / 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 = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.54 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_hus175_hl1_time1524251433
$$$ hidden_units = 200 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.9745%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.69586%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.54707%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.44388%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.36883%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.30879%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.26139%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.2225%
completion: 36% (epoch=72)(element=6266) loss = 0.002 error progress = 2.189%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.15928%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.13239%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.10947%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.08872%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.07009%
completion: 60% (epoch=120)(element=6266) loss = 0.004 error progress = 2.0531%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.03672%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.02155%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.00852%
completion: 76% (epoch=152)(element=6266) loss = 0.003 error progress = 1.9954%
completion: 80% (epoch=160)(element=6266) loss = 0.005 error progress = 1.98253%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.97002%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.95841%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.94727%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.93616%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.92593%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.84%
#FPplusFN=2089
minError=214 minErrorIndex=1 globalThreshold =-1.3095261759865
metrics area_roc = 92.06%
(beta) metrics area_precision_recall = 72.33%
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 = 251 / 516 (truth == 1) & (prediction < threshold)
TP = 265 / 516 (truth == 1) & (prediction >= threshold)
FP = 24 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,549 / 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 = 0.51 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.66 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl1_time1524251748
$$$ hidden_units = 225 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.91609%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.65365%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.50954%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.41261%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.3368%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.2763%
completion: 28% (epoch=56)(element=6266) loss = 0.008 error progress = 2.22961%
completion: 32% (epoch=64)(element=6266) loss = 0.008 error progress = 2.19028%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.15845%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.12911%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.10414%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.08113%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.06078%
completion: 56% (epoch=112)(element=6266) loss = 0.011 error progress = 2.0418%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.02399%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.00791%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.99294%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.97854%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.96501%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.95188%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.93919%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.92702%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 1.91555%
completion: 96% (epoch=192)(element=6266) loss = 0.003 error progress = 1.9052%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.8948%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.17%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.3451787674003
metrics area_roc = 92.29%
(beta) metrics area_precision_recall = 72.87%
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 = 240 / 516 (truth == 1) & (prediction < threshold)
TP = 276 / 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 = +0.63 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.53 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = 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_hus225_hl1_time1524252104
$$$ hidden_units = 250 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.011 error progress = 2.89275%
completion: 8% (epoch=16)(element=6266) loss = 0.014 error progress = 2.6407%
completion: 12% (epoch=24)(element=6266) loss = 0.009 error progress = 2.50066%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.40462%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.33366%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.27663%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.23077%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.19206%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.15819%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.12789%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.10041%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.07782%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.0571%
completion: 56% (epoch=112)(element=6266) loss = 0.003 error progress = 2.03765%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.01955%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.00342%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.98848%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.97431%
completion: 76% (epoch=152)(element=6266) loss = 0.004 error progress = 1.96051%
completion: 80% (epoch=160)(element=6266) loss = 0.014 error progress = 1.94803%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.93546%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.92299%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.9112%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.89964%
completion: 100% (epoch=200)(element=6266) loss = 0.005 error progress = 1.88896%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.84%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.3194544008643
metrics area_roc = 92.14%
(beta) metrics area_precision_recall = 72.8%
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 = 260 / 516 (truth == 1) & (prediction < threshold)
TP = 256 / 516 (truth == 1) & (prediction >= threshold)
FP = 15 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,558 / 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 = 0.5 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.65 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl1_time1524252499
$$$ hidden_units = 275 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.003 error progress = 2.86392%
completion: 8% (epoch=16)(element=6266) loss = 0.013 error progress = 2.61002%
completion: 12% (epoch=24)(element=6266) loss = 0.014 error progress = 2.4708%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.3755%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.30415%
completion: 24% (epoch=48)(element=6266) loss = 0.01 error progress = 2.24586%
completion: 28% (epoch=56)(element=6266) loss = 0.004 error progress = 2.20016%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.161%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.12767%
completion: 40% (epoch=80)(element=6266) loss = 0.004 error progress = 2.09729%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.07104%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.04752%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.02668%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.0069%
completion: 60% (epoch=120)(element=6266) loss = 0.003 error progress = 1.98806%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.97127%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 1.95544%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.94036%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.92626%
completion: 80% (epoch=160)(element=6266) loss = 0.007 error progress = 1.91238%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.89952%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.8871%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.8753%
completion: 96% (epoch=192)(element=6266) loss = 0.005 error progress = 1.86379%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.85231%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.18%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.3789290655831
metrics area_roc = 91.68%
(beta) metrics area_precision_recall = 73.47%
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 = 232 / 516 (truth == 1) & (prediction < threshold)
TP = 284 / 516 (truth == 1) & (prediction >= threshold)
FP = 15 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,558 / 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 = 0.55 = 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_hus275_hl1_time1524252941
$$$ hidden_units = 300 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.01 error progress = 2.90379%
completion: 8% (epoch=16)(element=6266) loss = 0.007 error progress = 2.6279%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.47455%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.37063%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.29523%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.23634%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.19077%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.15097%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.11817%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.09015%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.06562%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.04373%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.02405%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.00601%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.98866%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 1.97294%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 1.95811%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.94409%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.9307%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.91783%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.90536%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.89343%
completion: 92% (epoch=184)(element=6266) loss = 0.003 error progress = 1.88204%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.87091%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.8601%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.27%
#FPplusFN=2089
minError=202 minErrorIndex=1 globalThreshold =-1.2112433926365
metrics area_roc = 92.56%
(beta) metrics area_precision_recall = 73.11%
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 = 245 / 516 (truth == 1) & (prediction < threshold)
TP = 271 / 516 (truth == 1) & (prediction >= threshold)
FP = 21 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,552 / 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 = 0.53 = 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_hus300_hl1_time1524253430
$$$ hidden_units = 350 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.009 error progress = 2.84249%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.60443%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.4621%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.36309%
completion: 20% (epoch=40)(element=6266) loss = 0.006 error progress = 2.28963%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.23344%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.18665%
completion: 32% (epoch=64)(element=6266) loss = 0.009 error progress = 2.14793%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.11522%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.0875%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.063%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.04017%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.0195%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.00077%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.98241%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.96543%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.94968%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.93494%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.92088%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.90749%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.89454%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.88182%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.86952%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.85828%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.84735%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.55%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.348467638208
metrics area_roc = 92.69%
(beta) metrics area_precision_recall = 74.39%
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 = 246 / 516 (truth == 1) & (prediction < threshold)
TP = 270 / 516 (truth == 1) & (prediction >= threshold)
FP = 14 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,559 / 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 = 0.52 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_time1524254036
$$$ hidden_units = 400 hidden_layers = 1 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.80782%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.56158%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.42463%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.32949%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.25702%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.20218%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.15792%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.1198%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.08805%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.05986%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.03546%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.01386%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.99502%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 1.97663%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.95901%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 1.94425%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.92964%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.91592%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.90301%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.89038%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.87814%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.86708%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.85618%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.84527%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.83464%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.22%
#FPplusFN=2089
minError=204 minErrorIndex=1 globalThreshold =-1.296485559101
metrics area_roc = 91.58%
(beta) metrics area_precision_recall = 73.13%
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 = 243 / 516 (truth == 1) & (prediction < threshold)
TP = 273 / 516 (truth == 1) & (prediction >= threshold)
FP = 24 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,549 / 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 = 0.53 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = 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_hus400_hl1_time1524254768
$$$ hidden_units = 5 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.053 error progress = 4.59805%
completion: 8% (epoch=16)(element=6266) loss = 0.048 error progress = 4.43507%
completion: 12% (epoch=24)(element=6266) loss = 0.024 error progress = 4.33242%
completion: 16% (epoch=32)(element=6266) loss = 0.063 error progress = 4.26199%
completion: 20% (epoch=40)(element=6266) loss = 0.059 error progress = 4.21553%
completion: 24% (epoch=48)(element=6266) loss = 0.027 error progress = 4.18226%
completion: 28% (epoch=56)(element=6266) loss = 0.059 error progress = 4.15009%
completion: 32% (epoch=64)(element=6266) loss = 0.028 error progress = 4.13058%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 4.11335%
completion: 40% (epoch=80)(element=6266) loss = 0.021 error progress = 4.09767%
completion: 44% (epoch=88)(element=6266) loss = 0.06 error progress = 4.08636%
completion: 48% (epoch=96)(element=6266) loss = 0.059 error progress = 4.07497%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 4.06562%
completion: 56% (epoch=112)(element=6266) loss = 0.025 error progress = 4.0583%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 4.04947%
completion: 64% (epoch=128)(element=6266) loss = 0.024 error progress = 4.04206%
completion: 68% (epoch=136)(element=6266) loss = 0.02 error progress = 4.0351%
completion: 72% (epoch=144)(element=6266) loss = 0.028 error progress = 4.02892%
completion: 76% (epoch=152)(element=6266) loss = 0.022 error progress = 4.02379%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 4.0188%
completion: 84% (epoch=168)(element=6266) loss = 0.06 error progress = 4.01367%
completion: 88% (epoch=176)(element=6266) loss = 0.057 error progress = 4.00882%
completion: 92% (epoch=184)(element=6266) loss = 0.013 error progress = 4.00588%
completion: 96% (epoch=192)(element=6266) loss = 0.017 error progress = 4.00213%
completion: 100% (epoch=200)(element=6266) loss = 0.054 error progress = 3.99834%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 77.74%
#FPplusFN=2089
minError=403 minErrorIndex=1 globalThreshold =-1.1096058131661
metrics area_roc = 72.1%
(beta) metrics area_precision_recall = 42.03%
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 = 445 / 516 (truth == 1) & (prediction < threshold)
TP = 71 / 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 = +0.26 ::::
accuracy = 0.78 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.14 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.23 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl2_time1524254950
$$$ hidden_units = 10 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.104 error progress = 4.69106%
completion: 8% (epoch=16)(element=6266) loss = 0.101 error progress = 4.34447%
completion: 12% (epoch=24)(element=6266) loss = 0.03 error progress = 4.15576%
completion: 16% (epoch=32)(element=6266) loss = 0.006 error progress = 4.03095%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 3.93833%
completion: 24% (epoch=48)(element=6266) loss = 0.019 error progress = 3.87113%
completion: 28% (epoch=56)(element=6266) loss = 0.003 error progress = 3.81076%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 3.75814%
completion: 36% (epoch=72)(element=6266) loss = 0.008 error progress = 3.7151%
completion: 40% (epoch=80)(element=6266) loss = 0.061 error progress = 3.6783%
completion: 44% (epoch=88)(element=6266) loss = 0.01 error progress = 3.64328%
completion: 48% (epoch=96)(element=6266) loss = 0.01 error progress = 3.61542%
completion: 52% (epoch=104)(element=6266) loss = 0.067 error progress = 3.58761%
completion: 56% (epoch=112)(element=6266) loss = 0.058 error progress = 3.56494%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 3.54625%
completion: 64% (epoch=128)(element=6266) loss = 0.018 error progress = 3.52739%
completion: 68% (epoch=136)(element=6266) loss = 0.103 error progress = 3.50962%
completion: 72% (epoch=144)(element=6266) loss = 0.074 error progress = 3.49463%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 3.48149%
completion: 80% (epoch=160)(element=6266) loss = 0.01 error progress = 3.47017%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 3.45912%
completion: 88% (epoch=176)(element=6266) loss = 0.007 error progress = 3.4478%
completion: 92% (epoch=184)(element=6266) loss = 0.048 error progress = 3.43643%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 3.42518%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 3.41447%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 78.84%
#FPplusFN=2089
minError=328 minErrorIndex=1 globalThreshold =-1.3755745374249
metrics area_roc = 85.12%
(beta) metrics area_precision_recall = 56.1%
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 = 425 / 516 (truth == 1) & (prediction < threshold)
TP = 91 / 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 = +0.32 ::::
accuracy = 0.79 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.18 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.29 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl2_time1524255134
$$$ hidden_units = 25 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.97934%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 3.58394%
completion: 12% (epoch=24)(element=6266) loss = 0.059 error progress = 3.37585%
completion: 16% (epoch=32)(element=6266) loss = 0.035 error progress = 3.24686%
completion: 20% (epoch=40)(element=6266) loss = 0.057 error progress = 3.16183%
completion: 24% (epoch=48)(element=6266) loss = 0.01 error progress = 3.09485%
completion: 28% (epoch=56)(element=6266) loss = 0.003 error progress = 3.04524%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 3.00002%
completion: 36% (epoch=72)(element=6266) loss = 0.006 error progress = 2.96156%
completion: 40% (epoch=80)(element=6266) loss = 0.041 error progress = 2.92761%
completion: 44% (epoch=88)(element=6266) loss = 0.018 error progress = 2.89717%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.86895%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.84244%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.81897%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.79666%
completion: 64% (epoch=128)(element=6266) loss = 0.09 error progress = 2.77616%
completion: 68% (epoch=136)(element=6266) loss = 0.027 error progress = 2.75672%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.73899%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.72205%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.70678%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.69219%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.67887%
completion: 92% (epoch=184)(element=6266) loss = 0.003 error progress = 2.66544%
completion: 96% (epoch=192)(element=6266) loss = 0.008 error progress = 2.65302%
completion: 100% (epoch=200)(element=6266) loss = 0.007 error progress = 2.64129%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 82.19%
#FPplusFN=2089
minError=271 minErrorIndex=1 globalThreshold =-1.4047487842822
metrics area_roc = 88.52%
(beta) metrics area_precision_recall = 65.06%
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 = 349 / 516 (truth == 1) & (prediction < threshold)
TP = 167 / 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 = +0.46 ::::
accuracy = 0.82 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.32 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.47 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl2_time1524255328
$$$ hidden_units = 50 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.015 error progress = 3.65973%
completion: 8% (epoch=16)(element=6266) loss = 0.006 error progress = 3.25117%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 3.04843%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.9156%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.81553%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.73583%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 2.67162%
completion: 32% (epoch=64)(element=6266) loss = 0.007 error progress = 2.62076%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.5772%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.54%
completion: 44% (epoch=88)(element=6266) loss = 0.003 error progress = 2.5074%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.47736%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.45014%
completion: 56% (epoch=112)(element=6266) loss = 0.012 error progress = 2.42694%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.40544%
completion: 64% (epoch=128)(element=6266) loss = 0.009 error progress = 2.38502%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.36711%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.35106%
completion: 76% (epoch=152)(element=6266) loss = 0.004 error progress = 2.3345%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.31961%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 2.30622%
completion: 88% (epoch=176)(element=6266) loss = 0.005 error progress = 2.29225%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.27999%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 2.2685%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 2.25758%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.93%
#FPplusFN=2089
minError=233 minErrorIndex=1 globalThreshold =-1.3026095567729
metrics area_roc = 90.76%
(beta) metrics area_precision_recall = 69.19%
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 = 275 / 516 (truth == 1) & (prediction < threshold)
TP = 241 / 516 (truth == 1) & (prediction >= threshold)
FP = 19 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,554 / 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 = 0.47 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.62 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl2_time1524255544
$$$ hidden_units = 75 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.53065%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 3.09629%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.87514%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.73581%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 2.63631%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.55931%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.49977%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.45112%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.41183%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.37759%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.34706%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.32114%
completion: 52% (epoch=104)(element=6266) loss = 0.005 error progress = 2.29598%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.27567%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.25565%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 2.23851%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.22229%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 2.20653%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.19158%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.17777%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.16573%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.15447%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.14347%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.13271%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 2.12258%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.92%
#FPplusFN=2089
minError=241 minErrorIndex=1 globalThreshold =-1.3533842854188
metrics area_roc = 91.22%
(beta) metrics area_precision_recall = 67.88%
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 = 273 / 516 (truth == 1) & (prediction < threshold)
TP = 243 / 516 (truth == 1) & (prediction >= threshold)
FP = 42 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,531 / 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 = 0.47 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.97 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.61 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl2_time1524255788
$$$ hidden_units = 100 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.003 error progress = 3.35232%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.96875%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.78525%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.65694%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 2.56796%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.49778%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 2.44038%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.39375%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.35305%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 2.31848%
completion: 44% (epoch=88)(element=6266) loss = 0.004 error progress = 2.28813%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.26102%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.2356%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.21375%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.19346%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 2.17444%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.15757%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.14127%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.12589%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.11163%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.09846%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 2.08606%
completion: 92% (epoch=184)(element=6266) loss = 0.003 error progress = 2.07423%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 2.06344%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 2.05269%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.55%
#FPplusFN=2089
minError=225 minErrorIndex=1 globalThreshold =-1.2375409346925
metrics area_roc = 92.11%
(beta) metrics area_precision_recall = 70.91%
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 = 31 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,542 / 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 = 0.56 = 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_hus100_hl2_time1524256062
$$$ hidden_units = 125 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.024 error progress = 3.32109%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.94397%
completion: 12% (epoch=24)(element=6266) loss = 0.004 error progress = 2.74325%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.61306%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.51817%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.44756%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.38897%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.34254%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.30404%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.26976%
completion: 44% (epoch=88)(element=6266) loss = 0.003 error progress = 2.24123%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.21478%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.19142%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.17043%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.15213%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 2.13331%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.11654%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.10128%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.08753%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 2.07458%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.06213%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.05013%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.03892%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 2.02757%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 2.01714%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.69%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.2226446480663
metrics area_roc = 92.02%
(beta) metrics area_precision_recall = 68.54%
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 = 249 / 516 (truth == 1) & (prediction < threshold)
TP = 267 / 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 = +0.62 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.52 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.66 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl2_time1524256384
$$$ hidden_units = 150 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.28391%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 2.90121%
completion: 12% (epoch=24)(element=6266) loss = 0.008 error progress = 2.70712%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.57264%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.47636%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.4038%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.3446%
completion: 32% (epoch=64)(element=6266) loss = 0.005 error progress = 2.295%
completion: 36% (epoch=72)(element=6266) loss = 0.003 error progress = 2.2539%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.21729%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.18706%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.15933%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.13502%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.1122%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.09073%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.07166%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.05445%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.03785%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.02268%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.00778%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.99397%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.9809%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.96854%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.95667%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.94553%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.65%
#FPplusFN=2089
minError=226 minErrorIndex=1 globalThreshold =-1.2188864568278
metrics area_roc = 92.33%
(beta) metrics area_precision_recall = 72.46%
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 = 232 / 516 (truth == 1) & (prediction < threshold)
TP = 284 / 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_hus150_hl2_time1524256761
$$$ hidden_units = 175 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 3.20171%
completion: 8% (epoch=16)(element=6266) loss = 0.006 error progress = 2.85182%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.67337%
completion: 16% (epoch=32)(element=6266) loss = 0.005 error progress = 2.55061%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.46119%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.39308%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.33718%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.2901%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.24757%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.21291%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.18112%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.15227%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.12771%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.1045%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.08354%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.06445%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 2.04673%
completion: 72% (epoch=144)(element=6266) loss = 0.01 error progress = 2.02989%
completion: 76% (epoch=152)(element=6266) loss = 0.005 error progress = 2.01499%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.00042%
completion: 84% (epoch=168)(element=6266) loss = 0.009 error progress = 1.98626%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.97239%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.95996%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.94794%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.93632%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.55%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.2135104981801
metrics area_roc = 92.28%
(beta) metrics area_precision_recall = 72.15%
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 = 238 / 516 (truth == 1) & (prediction < threshold)
TP = 278 / 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 = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.54 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_hus175_hl2_time1524257195
$$$ hidden_units = 200 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.009 error progress = 3.14027%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.78703%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.60425%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.48801%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.39999%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.33184%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.27985%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.23538%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.19569%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.1605%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.12974%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.10499%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.08018%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.05916%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.03887%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.01982%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 2.0023%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.98514%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.97001%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.95527%
completion: 84% (epoch=168)(element=6266) loss = 0.003 error progress = 1.94135%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.92894%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.91599%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.90437%
completion: 100% (epoch=200)(element=6266) loss = 0.007 error progress = 1.89258%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.13%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.1844747024179
metrics area_roc = 92.39%
(beta) metrics area_precision_recall = 72.66%
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 = 220 / 516 (truth == 1) & (prediction < threshold)
TP = 296 / 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 = +0.66 ::::
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_hus200_hl2_time1524257692
$$$ hidden_units = 225 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.09056%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 2.76718%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.59812%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.4857%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 2.40094%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.3387%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.28307%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.23883%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.19932%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.16653%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.13602%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.10751%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.08186%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.05792%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.03697%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.01738%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.99885%
completion: 72% (epoch=144)(element=6266) loss = 0.004 error progress = 1.98146%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.96532%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.94986%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.93524%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.9211%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.90816%
completion: 96% (epoch=192)(element=6266) loss = 0.003 error progress = 1.89524%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.88301%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.13%
#FPplusFN=2089
minError=221 minErrorIndex=1 globalThreshold =-1.2735339744153
metrics area_roc = 91.85%
(beta) metrics area_precision_recall = 72.02%
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 = 32 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,541 / 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_hus225_hl2_time1524258262
$$$ hidden_units = 250 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.08697%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.74056%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.56014%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.44584%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.36196%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.29515%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.24343%
completion: 32% (epoch=64)(element=6266) loss = 0.008 error progress = 2.19837%
completion: 36% (epoch=72)(element=6266) loss = 0.004 error progress = 2.16077%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.12633%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.09696%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.06946%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.04484%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.02147%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.00029%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.98096%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.96323%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.946%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.92983%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.91423%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.89973%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.88591%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.87271%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.86002%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.84736%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.7%
#FPplusFN=2089
minError=202 minErrorIndex=1 globalThreshold =-1.2382105550311
metrics area_roc = 92.62%
(beta) metrics area_precision_recall = 72.78%
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 = 28 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,545 / 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_hus250_hl2_time1524258916
$$$ hidden_units = 275 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.04991%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.71489%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.54257%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.4318%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.34859%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.28364%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.23101%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.1866%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.1495%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.1159%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.08632%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.0573%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.03211%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.00906%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.98822%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.96834%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.95007%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.9333%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.91709%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.90097%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.88658%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.87308%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.85985%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.84741%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.83484%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.32%
#FPplusFN=2089
minError=216 minErrorIndex=1 globalThreshold =-1.1623229801264
metrics area_roc = 91.87%
(beta) metrics area_precision_recall = 72.13%
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 = 36 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,537 / 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_hus275_hl2_time1524259654
$$$ hidden_units = 300 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.082 error progress = 2.964%
completion: 8% (epoch=16)(element=6266) loss = 0.011 error progress = 2.65543%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.49788%
completion: 16% (epoch=32)(element=6266) loss = 0.01 error progress = 2.39216%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.31373%
completion: 24% (epoch=48)(element=6266) loss = 0.005 error progress = 2.25549%
completion: 28% (epoch=56)(element=6266) loss = 0.004 error progress = 2.20317%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.16118%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.12291%
completion: 40% (epoch=80)(element=6266) loss = 0.007 error progress = 2.08869%
completion: 44% (epoch=88)(element=6266) loss = 0.006 error progress = 2.05763%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.03049%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.00575%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.98157%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.96029%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.93937%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.92098%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.90317%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.88678%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.87136%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.85722%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.84337%
completion: 92% (epoch=184)(element=6266) loss = 0.004 error progress = 1.8304%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.81767%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.80625%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.47%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.1887140009662
metrics area_roc = 92.58%
(beta) metrics area_precision_recall = 73.46%
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 = 185 / 516 (truth == 1) & (prediction < threshold)
TP = 331 / 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 = +0.7 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.64 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = 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_hus300_hl2_time1524260489
$$$ hidden_units = 350 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.047 error progress = 2.9649%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.65089%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.48643%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.37778%
completion: 20% (epoch=40)(element=6266) loss = 0.034 error progress = 2.30043%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.24134%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.19317%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.15047%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.1149%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.0823%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.05482%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.02854%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.00481%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.98343%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.96326%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 1.94424%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.92655%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.90933%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 1.89313%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.8783%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.86406%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.85028%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.837%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.82424%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.81252%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.47%
#FPplusFN=2089
minError=208 minErrorIndex=1 globalThreshold =-1.1756400204136
metrics area_roc = 92.5%
(beta) metrics area_precision_recall = 74.43%
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 = 190 / 516 (truth == 1) & (prediction < threshold)
TP = 326 / 516 (truth == 1) & (prediction >= threshold)
FP = 30 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,543 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.7 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.63 = 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_hus350_hl2_time1524261546
$$$ hidden_units = 400 hidden_layers = 2 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.97351%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.65892%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.49036%
completion: 16% (epoch=32)(element=6266) loss = 0.005 error progress = 2.37986%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.30038%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.23596%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.18541%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.14135%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.10368%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.07014%
completion: 44% (epoch=88)(element=6266) loss = 0.004 error progress = 2.04119%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.01353%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.98842%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.9644%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 1.94229%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.92231%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.90355%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.88621%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.86941%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.85371%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.83913%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.82501%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.8118%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.7988%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.78682%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.56%
#FPplusFN=2089
minError=205 minErrorIndex=1 globalThreshold =-1.2230138554578
metrics area_roc = 92.45%
(beta) metrics area_precision_recall = 70.53%
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 = 181 / 516 (truth == 1) & (prediction < threshold)
TP = 335 / 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 = +0.71 ::::
accuracy = 0.9 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.65 = 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_hus400_hl2_time1524262820
$$$ hidden_units = 5 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.077 error progress = 4.87325%
completion: 8% (epoch=16)(element=6266) loss = 0.08 error progress = 4.81468%
completion: 12% (epoch=24)(element=6266) loss = 0.085 error progress = 4.78302%
completion: 16% (epoch=32)(element=6266) loss = 0.086 error progress = 4.75903%
completion: 20% (epoch=40)(element=6266) loss = 0.086 error progress = 4.74221%
completion: 24% (epoch=48)(element=6266) loss = 0.087 error progress = 4.72891%
completion: 28% (epoch=56)(element=6266) loss = 0.087 error progress = 4.71877%
completion: 32% (epoch=64)(element=6266) loss = 0.091 error progress = 4.70963%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 4.7027%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 4.69712%
completion: 44% (epoch=88)(element=6266) loss = 0.088 error progress = 4.69249%
completion: 48% (epoch=96)(element=6266) loss = 0.088 error progress = 4.6881%
completion: 52% (epoch=104)(element=6266) loss = 0.091 error progress = 4.68452%
completion: 56% (epoch=112)(element=6266) loss = 0.006 error progress = 4.68099%
completion: 60% (epoch=120)(element=6266) loss = 0.087 error progress = 4.67825%
completion: 64% (epoch=128)(element=6266) loss = 0.091 error progress = 4.67584%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 4.67388%
completion: 72% (epoch=144)(element=6266) loss = 0.089 error progress = 4.67205%
completion: 76% (epoch=152)(element=6266) loss = 0.014 error progress = 4.66945%
completion: 80% (epoch=160)(element=6266) loss = 0.09 error progress = 4.66713%
completion: 84% (epoch=168)(element=6266) loss = 0.092 error progress = 4.6644%
completion: 88% (epoch=176)(element=6266) loss = 0.091 error progress = 4.66211%
completion: 92% (epoch=184)(element=6266) loss = 0.019 error progress = 4.65988%
completion: 96% (epoch=192)(element=6266) loss = 0.154 error progress = 4.6571%
completion: 100% (epoch=200)(element=6266) loss = 0.004 error progress = 4.65481%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=516 minErrorIndex=1 globalThreshold =-2.4190681234268
metrics area_roc = 63.35%
(beta) metrics area_precision_recall = 18.87%
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 = 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_time1524263050
$$$ hidden_units = 10 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.07 error progress = 4.81412%
completion: 8% (epoch=16)(element=6266) loss = 0.061 error progress = 4.63434%
completion: 12% (epoch=24)(element=6266) loss = 0.03 error progress = 4.4888%
completion: 16% (epoch=32)(element=6266) loss = 0.056 error progress = 4.36343%
completion: 20% (epoch=40)(element=6266) loss = 0.059 error progress = 4.25445%
completion: 24% (epoch=48)(element=6266) loss = 0.012 error progress = 4.15799%
completion: 28% (epoch=56)(element=6266) loss = 0.04 error progress = 4.07252%
completion: 32% (epoch=64)(element=6266) loss = 0.023 error progress = 4.00032%
completion: 36% (epoch=72)(element=6266) loss = 0.038 error progress = 3.9356%
completion: 40% (epoch=80)(element=6266) loss = 0.012 error progress = 3.88195%
completion: 44% (epoch=88)(element=6266) loss = 0.059 error progress = 3.83832%
completion: 48% (epoch=96)(element=6266) loss = 0.017 error progress = 3.80024%
completion: 52% (epoch=104)(element=6266) loss = 0.021 error progress = 3.76612%
completion: 56% (epoch=112)(element=6266) loss = 0.055 error progress = 3.7346%
completion: 60% (epoch=120)(element=6266) loss = 0.013 error progress = 3.70808%
completion: 64% (epoch=128)(element=6266) loss = 0.013 error progress = 3.68399%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 3.66031%
completion: 72% (epoch=144)(element=6266) loss = 0.013 error progress = 3.63762%
completion: 76% (epoch=152)(element=6266) loss = 0.071 error progress = 3.61964%
completion: 80% (epoch=160)(element=6266) loss = 0.074 error progress = 3.60127%
completion: 84% (epoch=168)(element=6266) loss = 0.053 error progress = 3.58479%
completion: 88% (epoch=176)(element=6266) loss = 0.054 error progress = 3.57061%
completion: 92% (epoch=184)(element=6266) loss = 0.057 error progress = 3.558%
completion: 96% (epoch=192)(element=6266) loss = 0.048 error progress = 3.54612%
completion: 100% (epoch=200)(element=6266) loss = 0.012 error progress = 3.53363%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 78.08%
#FPplusFN=2089
minError=327 minErrorIndex=1 globalThreshold =-1.3431808701718
metrics area_roc = 86.01%
(beta) metrics area_precision_recall = 59.3%
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 = 448 / 516 (truth == 1) & (prediction < threshold)
TP = 68 / 516 (truth == 1) & (prediction >= threshold)
FP = 10 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,563 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.29 ::::
accuracy = 0.78 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.13 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.23 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl3_time1524263276
$$$ hidden_units = 25 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.07 error progress = 4.48908%
completion: 8% (epoch=16)(element=6266) loss = 0.069 error progress = 4.24%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 4.10841%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 4.02088%
completion: 20% (epoch=40)(element=6266) loss = 0.03 error progress = 3.96073%
completion: 24% (epoch=48)(element=6266) loss = 0.082 error progress = 3.9142%
completion: 28% (epoch=56)(element=6266) loss = 0.3 error progress = 3.87768%
completion: 32% (epoch=64)(element=6266) loss = 0.008 error progress = 3.84428%
completion: 36% (epoch=72)(element=6266) loss = 0.005 error progress = 3.81741%
completion: 40% (epoch=80)(element=6266) loss = 0.27 error progress = 3.79476%
completion: 44% (epoch=88)(element=6266) loss = 0.073 error progress = 3.77493%
completion: 48% (epoch=96)(element=6266) loss = 0.006 error progress = 3.75621%
completion: 52% (epoch=104)(element=6266) loss = 0.019 error progress = 3.73921%
completion: 56% (epoch=112)(element=6266) loss = 0.009 error progress = 3.72479%
completion: 60% (epoch=120)(element=6266) loss = 0.004 error progress = 3.7104%
completion: 64% (epoch=128)(element=6266) loss = 0.005 error progress = 3.6983%
completion: 68% (epoch=136)(element=6266) loss = 0.006 error progress = 3.68698%
completion: 72% (epoch=144)(element=6266) loss = 0.032 error progress = 3.67573%
completion: 76% (epoch=152)(element=6266) loss = 0.008 error progress = 3.66525%
completion: 80% (epoch=160)(element=6266) loss = 0.004 error progress = 3.65469%
completion: 84% (epoch=168)(element=6266) loss = 0.009 error progress = 3.64525%
completion: 88% (epoch=176)(element=6266) loss = 0.485 error progress = 3.63618%
completion: 92% (epoch=184)(element=6266) loss = 0.044 error progress = 3.62738%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 3.61907%
completion: 100% (epoch=200)(element=6266) loss = 0.026 error progress = 3.61167%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=302 minErrorIndex=1 globalThreshold =-2.3775539389234
metrics area_roc = 87.5%
(beta) metrics area_precision_recall = 53.37%
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 = 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_time1524263520
$$$ hidden_units = 50 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 4.25441%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 3.68283%
completion: 12% (epoch=24)(element=6266) loss = 0.008 error progress = 3.37734%
completion: 16% (epoch=32)(element=6266) loss = 0.01 error progress = 3.18434%
completion: 20% (epoch=40)(element=6266) loss = 0.053 error progress = 3.05251%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.95277%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.87769%
completion: 32% (epoch=64)(element=6266) loss = 0.008 error progress = 2.81524%
completion: 36% (epoch=72)(element=6266) loss = 0.01 error progress = 2.76565%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.72239%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.68561%
completion: 48% (epoch=96)(element=6266) loss = 0.009 error progress = 2.65283%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.62531%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.6002%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.5768%
completion: 64% (epoch=128)(element=6266) loss = 0.006 error progress = 2.55575%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.53681%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.5188%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.50219%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 2.48603%
completion: 84% (epoch=168)(element=6266) loss = 0.004 error progress = 2.47172%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 2.45828%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.4451%
completion: 96% (epoch=192)(element=6266) loss = 0.003 error progress = 2.43374%
completion: 100% (epoch=200)(element=6266) loss = 0.009 error progress = 2.42292%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.83%
#FPplusFN=2089
minError=233 minErrorIndex=1 globalThreshold =-1.319349463633
metrics area_roc = 91.49%
(beta) metrics area_precision_recall = 69.49%
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 = 295 / 516 (truth == 1) & (prediction < threshold)
TP = 221 / 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 = +0.56 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.43 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.58 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl3_time1524263794
$$$ hidden_units = 75 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.055 error progress = 3.89544%
completion: 8% (epoch=16)(element=6266) loss = 0.022 error progress = 3.39425%
completion: 12% (epoch=24)(element=6266) loss = 0.012 error progress = 3.13737%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.96118%
completion: 20% (epoch=40)(element=6266) loss = 0.007 error progress = 2.83962%
completion: 24% (epoch=48)(element=6266) loss = 0.004 error progress = 2.74682%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.67679%
completion: 32% (epoch=64)(element=6266) loss = 0.009 error progress = 2.61783%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.56835%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.52761%
completion: 44% (epoch=88)(element=6266) loss = 0.009 error progress = 2.49035%
completion: 48% (epoch=96)(element=6266) loss = 0.009 error progress = 2.45758%
completion: 52% (epoch=104)(element=6266) loss = 0.006 error progress = 2.4299%
completion: 56% (epoch=112)(element=6266) loss = 0.005 error progress = 2.40499%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.38275%
completion: 64% (epoch=128)(element=6266) loss = 0.005 error progress = 2.36246%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.3439%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 2.3262%
completion: 76% (epoch=152)(element=6266) loss = 0.003 error progress = 2.3101%
completion: 80% (epoch=160)(element=6266) loss = 0.009 error progress = 2.29622%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.28353%
completion: 88% (epoch=176)(element=6266) loss = 0.013 error progress = 2.27012%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.25785%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 2.24581%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 2.23457%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.01%
#FPplusFN=2089
minError=232 minErrorIndex=1 globalThreshold =-1.266873160147
metrics area_roc = 91.57%
(beta) metrics area_precision_recall = 68.72%
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 = 310 / 516 (truth == 1) & (prediction < threshold)
TP = 206 / 516 (truth == 1) & (prediction >= threshold)
FP = 24 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,549 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.53 ::::
accuracy = 0.84 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.4 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.55 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl3_time1524264108
$$$ hidden_units = 100 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.045 error progress = 3.81594%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 3.33731%
completion: 12% (epoch=24)(element=6266) loss = 0.004 error progress = 3.07351%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.91313%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 2.80255%
completion: 24% (epoch=48)(element=6266) loss = 0.019 error progress = 2.72312%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.66217%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.61181%
completion: 36% (epoch=72)(element=6266) loss = 0.007 error progress = 2.57321%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.53835%
completion: 44% (epoch=88)(element=6266) loss = 0.004 error progress = 2.51033%
completion: 48% (epoch=96)(element=6266) loss = 0.006 error progress = 2.4842%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.46019%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.43924%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.42098%
completion: 64% (epoch=128)(element=6266) loss = 0.01 error progress = 2.40349%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.38788%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 2.37282%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.35935%
completion: 80% (epoch=160)(element=6266) loss = 0.003 error progress = 2.34672%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.33459%
completion: 88% (epoch=176)(element=6266) loss = 0.004 error progress = 2.32407%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.31334%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.30365%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 2.2942%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.4%
#FPplusFN=2089
minError=236 minErrorIndex=1 globalThreshold =-1.4078929624958
metrics area_roc = 91.78%
(beta) metrics area_precision_recall = 69.4%
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 = 278 / 516 (truth == 1) & (prediction < threshold)
TP = 238 / 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 = +0.58 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.46 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = tn / (tn + fp) [worst = 0, best = 1]
f1_score = 0.61 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl3_time1524264472
$$$ hidden_units = 125 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.033 error progress = 3.71167%
completion: 8% (epoch=16)(element=6266) loss = 0.046 error progress = 3.29455%
completion: 12% (epoch=24)(element=6266) loss = 0.01 error progress = 3.07013%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.92124%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.81271%
completion: 24% (epoch=48)(element=6266) loss = 0.007 error progress = 2.73654%
completion: 28% (epoch=56)(element=6266) loss = 0.044 error progress = 2.6746%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.62683%
completion: 36% (epoch=72)(element=6266) loss = 0.005 error progress = 2.58499%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.55318%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.52351%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.49666%
completion: 52% (epoch=104)(element=6266) loss = 0.012 error progress = 2.47284%
completion: 56% (epoch=112)(element=6266) loss = 0.011 error progress = 2.45312%
completion: 60% (epoch=120)(element=6266) loss = 0.004 error progress = 2.43495%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.41776%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.40203%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 2.38821%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 2.37552%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 2.36389%
completion: 84% (epoch=168)(element=6266) loss = 0.026 error progress = 2.35223%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.34144%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.3308%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.32064%
completion: 100% (epoch=200)(element=6266) loss = 0.011 error progress = 2.31137%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.35%
#FPplusFN=2089
minError=232 minErrorIndex=1 globalThreshold =-1.7344559931484
metrics area_roc = 91.19%
(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 = 301 / 516 (truth == 1) & (prediction < threshold)
TP = 215 / 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 = +0.54 ::::
accuracy = 0.84 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.42 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.98 = 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_hus125_hl3_time1524264900
$$$ hidden_units = 150 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.63512%
completion: 8% (epoch=16)(element=6266) loss = 0.028 error progress = 3.16661%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.91888%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.76028%
completion: 20% (epoch=40)(element=6266) loss = 0.008 error progress = 2.6564%
completion: 24% (epoch=48)(element=6266) loss = 0.005 error progress = 2.57915%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.5162%
completion: 32% (epoch=64)(element=6266) loss = 0.007 error progress = 2.4671%
completion: 36% (epoch=72)(element=6266) loss = 0.003 error progress = 2.42308%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.38622%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.353%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.32274%
completion: 52% (epoch=104)(element=6266) loss = 0.003 error progress = 2.29543%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.27296%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.25276%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.23375%
completion: 68% (epoch=136)(element=6266) loss = 0.008 error progress = 2.21602%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.19923%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.18332%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.1684%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.15402%
completion: 88% (epoch=176)(element=6266) loss = 0.004 error progress = 2.14164%
completion: 92% (epoch=184)(element=6266) loss = 0.005 error progress = 2.12946%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.11774%
completion: 100% (epoch=200)(element=6266) loss = 0.005 error progress = 2.10699%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.78%
#FPplusFN=2089
minError=235 minErrorIndex=1 globalThreshold =-1.4764947924274
metrics area_roc = 91.42%
(beta) metrics area_precision_recall = 67.94%
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 = 252 / 516 (truth == 1) & (prediction < threshold)
TP = 264 / 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 = +0.59 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.51 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.97 = 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_hus150_hl3_time1524265403
$$$ hidden_units = 175 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.129 error progress = 3.5453%
completion: 8% (epoch=16)(element=6266) loss = 0.029 error progress = 3.08074%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.83901%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.6891%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.57954%
completion: 24% (epoch=48)(element=6266) loss = 0.004 error progress = 2.49557%
completion: 28% (epoch=56)(element=6266) loss = 0.006 error progress = 2.42598%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.37166%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.32604%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.28658%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.25207%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.22093%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.19253%
completion: 56% (epoch=112)(element=6266) loss = 0.003 error progress = 2.16863%
completion: 60% (epoch=120)(element=6266) loss = 0.004 error progress = 2.14502%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 2.12408%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.10497%
completion: 72% (epoch=144)(element=6266) loss = 0.01 error progress = 2.08739%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 2.07044%
completion: 80% (epoch=160)(element=6266) loss = 0.003 error progress = 2.05484%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 2.04012%
completion: 88% (epoch=176)(element=6266) loss = 0.004 error progress = 2.02587%
completion: 92% (epoch=184)(element=6266) loss = 0.006 error progress = 2.01278%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.99978%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 1.98808%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.27%
#FPplusFN=2089
minError=229 minErrorIndex=1 globalThreshold =-1.2157413857461
metrics area_roc = 92.09%
(beta) metrics area_precision_recall = 72.13%
duration the new area_roc metrics ROC_AUC_computer function: 1 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 01 seconds
TOTAL:
FN = 234 / 516 (truth == 1) & (prediction < threshold)
TP = 282 / 516 (truth == 1) & (prediction >= threshold)
FP = 32 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,541 / 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 = 0.55 = 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_hus175_hl3_time1524265987
$$$ hidden_units = 200 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.01 error progress = 3.38753%
completion: 8% (epoch=16)(element=6266) loss = 0.005 error progress = 2.95063%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.72916%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.59226%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.49192%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.41675%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.35543%
completion: 32% (epoch=64)(element=6266) loss = 0.009 error progress = 2.3048%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.26337%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.22542%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.19353%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.16546%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.14051%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.11668%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.09452%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.07405%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.05557%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 2.03849%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.02179%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.0062%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.99201%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.97867%
completion: 92% (epoch=184)(element=6266) loss = 0.006 error progress = 1.96538%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.95349%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 1.94152%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.51%
#FPplusFN=2089
minError=220 minErrorIndex=1 globalThreshold =-1.1687261643875
metrics area_roc = 92.35%
(beta) metrics area_precision_recall = 72.51%
duration the new area_roc metrics ROC_AUC_computer function: 1 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 01 seconds
TOTAL:
FN = 233 / 516 (truth == 1) & (prediction < threshold)
TP = 283 / 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 = 0.88 = (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 = 0.68 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl3_time1524266671
$$$ hidden_units = 225 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 3.38222%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.93161%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.70994%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.56346%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.46259%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.38554%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.32266%
completion: 32% (epoch=64)(element=6266) loss = 0.004 error progress = 2.27006%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.22303%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.1847%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.14946%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.11952%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.09254%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.06727%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.04516%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 2.0242%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.0049%
completion: 72% (epoch=144)(element=6266) loss = 0.004 error progress = 1.98708%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.96962%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.95347%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.93806%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.92388%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.91014%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.89723%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.88534%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.37%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.3812843909267
metrics area_roc = 92.47%
(beta) metrics area_precision_recall = 73.08%
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 = 214 / 516 (truth == 1) & (prediction < threshold)
TP = 302 / 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 = +0.67 ::::
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_hus225_hl3_time1524267462
$$$ hidden_units = 250 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.008 error progress = 3.2849%
completion: 8% (epoch=16)(element=6266) loss = 0.014 error progress = 2.8766%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.67376%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.54371%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.44954%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.37692%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.31896%
completion: 32% (epoch=64)(element=6266) loss = 0.004 error progress = 2.26867%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.22546%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.18861%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.15443%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 2.12532%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.09914%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.07449%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.05297%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.03174%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.01262%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.99495%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.97866%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.96294%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.94801%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.93435%
completion: 92% (epoch=184)(element=6266) loss = 0.004 error progress = 1.92083%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.90819%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.89625%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.27%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-1.207894652513
metrics area_roc = 92.2%
(beta) metrics area_precision_recall = 72.48%
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 = 217 / 516 (truth == 1) & (prediction < threshold)
TP = 299 / 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 = 0.58 = 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_hus250_hl3_time1524268369
$$$ hidden_units = 275 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.34661%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.89432%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.67448%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.54007%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.44286%
completion: 24% (epoch=48)(element=6266) loss = 0.006 error progress = 2.36683%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.30454%
completion: 32% (epoch=64)(element=6266) loss = 0.004 error progress = 2.25402%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.21031%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.17226%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.1391%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.1088%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.08191%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.0553%
completion: 60% (epoch=120)(element=6266) loss = 0.004 error progress = 2.03259%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.01072%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.99091%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.97259%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.95547%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.93949%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.92393%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.90973%
completion: 92% (epoch=184)(element=6266) loss = 0.005 error progress = 1.89614%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.88293%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.87083%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.89%
#FPplusFN=2089
minError=205 minErrorIndex=1 globalThreshold =-1.211655924061
metrics area_roc = 92.38%
(beta) metrics area_precision_recall = 73.58%
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 = 212 / 516 (truth == 1) & (prediction < threshold)
TP = 304 / 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 = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.59 = tp / (tp + fn) [worst = 0, best = 1]
specificity = 0.99 = 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_hus275_hl3_time1524269408
$$$ hidden_units = 300 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 3.25251%
completion: 8% (epoch=16)(element=6266) loss = 0.012 error progress = 2.82986%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.62418%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.49483%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.40205%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.32962%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.26877%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.21801%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.1764%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.14013%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.10781%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.08038%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.05454%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.03143%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.00942%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.9891%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.97015%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.95263%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.93538%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.91931%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.90396%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.89038%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.87659%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.86351%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.85139%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.18%
#FPplusFN=2089
minError=200 minErrorIndex=1 globalThreshold =-1.1613218478089
metrics area_roc = 92.67%
(beta) metrics area_precision_recall = 73.55%
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 = 200 / 516 (truth == 1) & (prediction < threshold)
TP = 316 / 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 = 0.74 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl3_time1524270572
$$$ hidden_units = 350 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.014 error progress = 3.26472%
completion: 8% (epoch=16)(element=6266) loss = 0.002 error progress = 2.82339%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.6135%
completion: 16% (epoch=32)(element=6266) loss = 0.004 error progress = 2.47996%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 2.38498%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.31398%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 2.257%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.20896%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.16804%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.13128%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.09839%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.06905%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.04355%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.01964%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.99652%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.97654%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.95777%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.93901%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.92225%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.90636%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.89156%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.87693%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.86323%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.85051%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.83805%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.7%
#FPplusFN=2089
minError=215 minErrorIndex=1 globalThreshold =-1.1554840531778
metrics area_roc = 92.58%
(beta) metrics area_precision_recall = 73.44%
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 = 28 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,545 / 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_hus350_hl3_time1524272093
$$$ hidden_units = 400 hidden_layers = 3 $$$
XAVIER_INITIALIZATION = true
completion: 4% (epoch=8)(element=6266) loss = 0.034 error progress = 3.12787%
completion: 8% (epoch=16)(element=6266) loss = 0.007 error progress = 2.74052%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.55113%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.43298%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.34335%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.27755%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.22241%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.17529%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.13752%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 2.10163%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.07169%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.04358%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.01925%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.99547%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.97444%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.95428%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.93541%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.91796%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.90173%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.88714%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.87161%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.85713%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.84417%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.83076%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.81822%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.08%
#FPplusFN=2089
minError=219 minErrorIndex=1 globalThreshold =-1.1214268680166
metrics area_roc = 92.39%
(beta) metrics area_precision_recall = 73.52%
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 = 219 / 516 (truth == 1) & (prediction < threshold)
TP = 297 / 516 (truth == 1) & (prediction >= threshold)
FP = 30 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,543 / 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 = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl3_time1524273914
@ @ [1] AUPR = 43.25% MCC = 0.23 F1_score = 0.16 AUROC = 76.5% hidden units = 5 hidden layers = 1 @ @
@ @ [2] AUPR = 62.29% MCC = 0.38 F1_score = 0.35 AUROC = 88.1% hidden units = 10 hidden layers = 1 @ @
@ @ [3] AUPR = 64.05% MCC = 0.4 F1_score = 0.41 AUROC = 90.68% hidden units = 25 hidden layers = 1 @ @
@ @ [4] AUPR = 70.43% MCC = 0.57 F1_score = 0.6 AUROC = 90.58% hidden units = 50 hidden layers = 1 @ @
@ @ [5] AUPR = 70.59% MCC = 0.59 F1_score = 0.63 AUROC = 91.83% hidden units = 75 hidden layers = 1 @ @
@ @ [6] AUPR = 73.04% MCC = 0.62 F1_score = 0.65 AUROC = 92.07% hidden units = 100 hidden layers = 1 @ @
@ @ [7] AUPR = 72.99% MCC = 0.63 F1_score = 0.67 AUROC = 92.04% hidden units = 125 hidden layers = 1 @ @
@ @ [8] AUPR = 73.53% MCC = 0.64 F1_score = 0.68 AUROC = 92.45% hidden units = 150 hidden layers = 1 @ @
@ @ [9] AUPR = 73.75% MCC = 0.65 F1_score = 0.68 AUROC = 92.42% hidden units = 175 hidden layers = 1 @ @
@ @ [10] AUPR = 72.33% MCC = 0.62 F1_score = 0.66 AUROC = 92.06% hidden units = 200 hidden layers = 1 @ @
@ @ [11] AUPR = 72.87% MCC = 0.63 F1_score = 0.67 AUROC = 92.29% hidden units = 225 hidden layers = 1 @ @
@ @ [12] AUPR = 72.8% MCC = 0.62 F1_score = 0.65 AUROC = 92.14% hidden units = 250 hidden layers = 1 @ @
@ @ [13] AUPR = 73.47% MCC = 0.67 F1_score = 0.7 AUROC = 91.68% hidden units = 275 hidden layers = 1 @ @
@ @ [14] AUPR = 73.11% MCC = 0.64 F1_score = 0.67 AUROC = 92.56% hidden units = 300 hidden layers = 1 @ @
@ @ [15] AUPR = 74.39% MCC = 0.65 F1_score = 0.68 AUROC = 92.69% hidden units = 350 hidden layers = 1 @ @
@ @ [16] AUPR = 73.13% MCC = 0.63 F1_score = 0.67 AUROC = 91.58% hidden units = 400 hidden layers = 1 @ @
@ @ [17] AUPR = 42.03% MCC = 0.26 F1_score = 0.23 AUROC = 72.1% hidden units = 5 hidden layers = 2 @ @
@ @ [18] AUPR = 56.1% MCC = 0.32 F1_score = 0.29 AUROC = 85.12% hidden units = 10 hidden layers = 2 @ @
@ @ [19] AUPR = 65.06% MCC = 0.46 F1_score = 0.47 AUROC = 88.52% hidden units = 25 hidden layers = 2 @ @
@ @ [20] AUPR = 69.19% MCC = 0.59 F1_score = 0.62 AUROC = 90.76% hidden units = 50 hidden layers = 2 @ @
@ @ [21] AUPR = 67.88% MCC = 0.56 F1_score = 0.61 AUROC = 91.22% hidden units = 75 hidden layers = 2 @ @
@ @ [22] AUPR = 70.91% MCC = 0.64 F1_score = 0.69 AUROC = 92.11% hidden units = 100 hidden layers = 2 @ @
@ @ [23] AUPR = 68.54% MCC = 0.62 F1_score = 0.66 AUROC = 92.02% hidden units = 125 hidden layers = 2 @ @
@ @ [24] AUPR = 72.46% MCC = 0.65 F1_score = 0.69 AUROC = 92.33% hidden units = 150 hidden layers = 2 @ @
@ @ [25] AUPR = 72.15% MCC = 0.65 F1_score = 0.68 AUROC = 92.28% hidden units = 175 hidden layers = 2 @ @
@ @ [26] AUPR = 72.66% MCC = 0.66 F1_score = 0.7 AUROC = 92.39% hidden units = 200 hidden layers = 2 @ @
@ @ [27] AUPR = 72.02% MCC = 0.66 F1_score = 0.71 AUROC = 91.85% hidden units = 225 hidden layers = 2 @ @
@ @ [28] AUPR = 72.78% MCC = 0.68 F1_score = 0.72 AUROC = 92.62% hidden units = 250 hidden layers = 2 @ @
@ @ [29] AUPR = 72.13% MCC = 0.67 F1_score = 0.72 AUROC = 91.87% hidden units = 275 hidden layers = 2 @ @
@ @ [30] AUPR = 73.46% MCC = 0.7 F1_score = 0.75 AUROC = 92.58% hidden units = 300 hidden layers = 2 @ @
@ @ [31] AUPR = 74.43% MCC = 0.7 F1_score = 0.75 AUROC = 92.5% hidden units = 350 hidden layers = 2 @ @
@ @ [32] AUPR = 70.53% MCC = 0.71 F1_score = 0.75 AUROC = 92.45% hidden units = 400 hidden layers = 2 @ @
@ @ [33] AUPR = 18.87% MCC = -2 F1_score = 0 AUROC = 63.35% hidden units = 5 hidden layers = 3 @ @
@ @ [34] AUPR = 59.3% MCC = 0.29 F1_score = 0.23 AUROC = 86.01% hidden units = 10 hidden layers = 3 @ @
@ @ [35] AUPR = 53.37% MCC = -2 F1_score = 0 AUROC = 87.5% hidden units = 25 hidden layers = 3 @ @
@ @ [36] AUPR = 69.49% MCC = 0.56 F1_score = 0.58 AUROC = 91.49% hidden units = 50 hidden layers = 3 @ @
@ @ [37] AUPR = 68.72% MCC = 0.53 F1_score = 0.55 AUROC = 91.57% hidden units = 75 hidden layers = 3 @ @
@ @ [38] AUPR = 69.4% MCC = 0.58 F1_score = 0.61 AUROC = 91.78% hidden units = 100 hidden layers = 3 @ @
@ @ [39] AUPR = 69.41% MCC = 0.54 F1_score = 0.57 AUROC = 91.19% hidden units = 125 hidden layers = 3 @ @
@ @ [40] AUPR = 67.94% MCC = 0.59 F1_score = 0.64 AUROC = 91.42% hidden units = 150 hidden layers = 3 @ @
@ @ [41] AUPR = 72.13% MCC = 0.63 F1_score = 0.68 AUROC = 92.09% hidden units = 175 hidden layers = 3 @ @
@ @ [42] AUPR = 72.51% MCC = 0.64 F1_score = 0.68 AUROC = 92.35% hidden units = 200 hidden layers = 3 @ @
@ @ [43] AUPR = 73.08% MCC = 0.67 F1_score = 0.71 AUROC = 92.47% hidden units = 225 hidden layers = 3 @ @
@ @ [44] AUPR = 72.48% MCC = 0.67 F1_score = 0.71 AUROC = 92.2% hidden units = 250 hidden layers = 3 @ @
@ @ [45] AUPR = 73.58% MCC = 0.69 F1_score = 0.72 AUROC = 92.38% hidden units = 275 hidden layers = 3 @ @
@ @ [46] AUPR = 73.55% MCC = 0.69 F1_score = 0.74 AUROC = 92.67% hidden units = 300 hidden layers = 3 @ @
@ @ [47] AUPR = 73.44% MCC = 0.68 F1_score = 0.72 AUROC = 92.58% hidden units = 350 hidden layers = 3 @ @
@ @ [48] AUPR = 73.52% MCC = 0.66 F1_score = 0.7 AUROC = 92.39% hidden units = 400 hidden layers = 3 @ @
modelFileVect[32]
modelFileToLoad =./models/model_hus400_hl2_time1524262820
### executeTest(loadedModel, test_patient_profile)
Correct predictions = 89.8%
#FPplusFN=2088
minError=190 minErrorIndex=1 globalThreshold =-1.1423323008117
metrics area_roc = 94.87%
(beta) metrics area_precision_recall = 76.17%
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 = 178 / 535 (truth == 1) & (prediction < threshold)
TP = 357 / 535 (truth == 1) & (prediction >= threshold)
FP = 35 / 1,553 (truth == 0) & (prediction >= threshold)
TN = 1,518 / 1,553 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.72 ::::
accuracy = 0.9 = (tp + tn) / (tp + tn +fn + fp) [worst = 0, best = 1]
recall = 0.67 = 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 = 0.72 lastF1score = 0.77 ':':':':'
command: rm ./models/model_hus5_hl1_time1524249865
command: rm ./models/model_hus10_hl1_time1524250003
command: rm ./models/model_hus25_hl1_time1524250147
command: rm ./models/model_hus50_hl1_time1524250304
command: rm ./models/model_hus75_hl1_time1524250481
command: rm ./models/model_hus100_hl1_time1524250677
command: rm ./models/model_hus125_hl1_time1524250897
command: rm ./models/model_hus150_hl1_time1524251150
command: rm ./models/model_hus175_hl1_time1524251433
command: rm ./models/model_hus200_hl1_time1524251748
command: rm ./models/model_hus225_hl1_time1524252104
command: rm ./models/model_hus250_hl1_time1524252499
command: rm ./models/model_hus275_hl1_time1524252941
command: rm ./models/model_hus300_hl1_time1524253430
command: rm ./models/model_hus350_hl1_time1524254036
command: rm ./models/model_hus400_hl1_time1524254768
command: rm ./models/model_hus5_hl2_time1524254950
command: rm ./models/model_hus10_hl2_time1524255134
command: rm ./models/model_hus25_hl2_time1524255328
command: rm ./models/model_hus50_hl2_time1524255544
command: rm ./models/model_hus75_hl2_time1524255788
command: rm ./models/model_hus100_hl2_time1524256062
command: rm ./models/model_hus125_hl2_time1524256384
command: rm ./models/model_hus150_hl2_time1524256761
command: rm ./models/model_hus175_hl2_time1524257195
command: rm ./models/model_hus200_hl2_time1524257692
command: rm ./models/model_hus225_hl2_time1524258262
command: rm ./models/model_hus250_hl2_time1524258916
command: rm ./models/model_hus275_hl2_time1524259654
command: rm ./models/model_hus300_hl2_time1524260489
command: rm ./models/model_hus350_hl2_time1524261546
command: rm ./models/model_hus400_hl2_time1524262820
command: rm ./models/model_hus5_hl3_time1524263050
command: rm ./models/model_hus10_hl3_time1524263276
command: rm ./models/model_hus25_hl3_time1524263520
command: rm ./models/model_hus50_hl3_time1524263794
command: rm ./models/model_hus75_hl3_time1524264108
command: rm ./models/model_hus100_hl3_time1524264472
command: rm ./models/model_hus125_hl3_time1524264900
command: rm ./models/model_hus150_hl3_time1524265403
command: rm ./models/model_hus175_hl3_time1524265987
command: rm ./models/model_hus200_hl3_time1524266671
command: rm ./models/model_hus225_hl3_time1524267462
command: rm ./models/model_hus250_hl3_time1524268369
command: rm ./models/model_hus275_hl3_time1524269408
command: rm ./models/model_hus300_hl3_time1524270572
command: rm ./models/model_hus350_hl3_time1524272093
command: rm ./models/model_hus400_hl3_time1524273914
duration complete execution: 24,189 seconds
duration complete execution: 00 days, 06 hours, 43 minutes, 09 seconds