Datasets
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Your job 652726 ("dropout") has been submitted
@ @ @ @ @ @ START @ @ @ @ @ @ @
file: script_start.lua
author Davide Chicco <davide.chicco@gmail.com>
Thu Apr 19 11:54:43 2018
Readin' ../data/LungCancerDataset_AllRecords_NORM.csv
OPTIM_PACKAGE = true
XAVIER_INITIALIZATION = false
DROPOUT_FLAG = true
MOMENTUM_ALPHA = 0.5
MOMENTUM = false
LEARN_RATE = 0.01
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
$$$ hidden_units = 5 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.04 error progress = 3.78485%
completion: 8% (epoch=16)(element=6266) loss = 0.046 error progress = 3.70558%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 3.66608%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 3.64787%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 3.62997%
completion: 24% (epoch=48)(element=6266) loss = 0.022 error progress = 3.61526%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 3.60592%
completion: 32% (epoch=64)(element=6266) loss = 0.03 error progress = 3.5915%
completion: 36% (epoch=72)(element=6266) loss = 0.005 error progress = 3.58387%
completion: 40% (epoch=80)(element=6266) loss = 0.009 error progress = 3.57829%
completion: 44% (epoch=88)(element=6266) loss = 0.043 error progress = 3.57165%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 3.56714%
completion: 52% (epoch=104)(element=6266) loss = 0.038 error progress = 3.56308%
completion: 56% (epoch=112)(element=6266) loss = 0.035 error progress = 3.55825%
completion: 60% (epoch=120)(element=6266) loss = 0.011 error progress = 3.55501%
completion: 64% (epoch=128)(element=6266) loss = 0.053 error progress = 3.55024%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 3.54856%
completion: 72% (epoch=144)(element=6266) loss = 0.023 error progress = 3.54655%
completion: 76% (epoch=152)(element=6266) loss = 0.049 error progress = 3.54353%
completion: 80% (epoch=160)(element=6266) loss = 0.021 error progress = 3.54313%
completion: 84% (epoch=168)(element=6266) loss = 0.01 error progress = 3.54641%
completion: 88% (epoch=176)(element=6266) loss = 0.015 error progress = 3.5496%
completion: 92% (epoch=184)(element=6266) loss = 0.019 error progress = 3.55284%
completion: 96% (epoch=192)(element=6266) loss = 0.013 error progress = 3.55298%
completion: 100% (epoch=200)(element=6266) loss = 0.012 error progress = 3.55576%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 76.54%
#FPplusFN=2089
minError=388 minErrorIndex=1 globalThreshold =-0.77710917615011
metrics area_roc = 80.68%
(beta) metrics area_precision_recall = 45.75%
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 = 462 / 516 (truth == 1) & (prediction < threshold)
TP = 54 / 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 = +0.19 ::::
accuracy = 0.77 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.18 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl1_time1524153423
$$$ hidden_units = 10 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.059 error progress = 3.53184%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 3.32562%
completion: 12% (epoch=24)(element=6266) loss = 0.007 error progress = 3.23369%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 3.18974%
completion: 20% (epoch=40)(element=6266) loss = 0.014 error progress = 3.16206%
completion: 24% (epoch=48)(element=6266) loss = 0.041 error progress = 3.13781%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 3.11706%
completion: 32% (epoch=64)(element=6266) loss = 0.02 error progress = 3.10179%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 3.08902%
completion: 40% (epoch=80)(element=6266) loss = 0.041 error progress = 3.07944%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 3.07045%
completion: 48% (epoch=96)(element=6266) loss = 0.005 error progress = 3.06524%
completion: 52% (epoch=104)(element=6266) loss = 0.011 error progress = 3.05983%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 3.05431%
completion: 60% (epoch=120)(element=6266) loss = 0.05 error progress = 3.05007%
completion: 64% (epoch=128)(element=6266) loss = 0.025 error progress = 3.04693%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 3.04379%
completion: 72% (epoch=144)(element=6266) loss = 0.012 error progress = 3.04005%
completion: 76% (epoch=152)(element=6266) loss = 0.045 error progress = 3.0373%
completion: 80% (epoch=160)(element=6266) loss = 0.018 error progress = 3.03611%
completion: 84% (epoch=168)(element=6266) loss = 0.073 error progress = 3.03336%
completion: 88% (epoch=176)(element=6266) loss = 0.005 error progress = 3.03128%
completion: 92% (epoch=184)(element=6266) loss = 0.09 error progress = 3.02947%
completion: 96% (epoch=192)(element=6266) loss = 0.094 error progress = 3.02692%
completion: 100% (epoch=200)(element=6266) loss = 0.053 error progress = 3.02521%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 81%
#FPplusFN=2089
minError=334 minErrorIndex=1 globalThreshold =-1.4186110599452
metrics area_roc = 86.8%
(beta) metrics area_precision_recall = 59.63%
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 = 372 / 516 (truth == 1) & (prediction < threshold)
TP = 144 / 516 (truth == 1) & (prediction >= threshold)
FP = 25 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,548 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.42 ::::
accuracy = 0.81 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.42 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl1_time1524153571
$$$ hidden_units = 25 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.064 error progress = 3.02465%
completion: 8% (epoch=16)(element=6266) loss = 0.011 error progress = 2.87137%
completion: 12% (epoch=24)(element=6266) loss = 0.025 error progress = 2.78695%
completion: 16% (epoch=32)(element=6266) loss = 0.006 error progress = 2.73538%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.69394%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.66775%
completion: 28% (epoch=56)(element=6266) loss = 0.046 error progress = 2.6447%
completion: 32% (epoch=64)(element=6266) loss = 0.012 error progress = 2.62471%
completion: 36% (epoch=72)(element=6266) loss = 0.019 error progress = 2.60274%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 2.58382%
completion: 44% (epoch=88)(element=6266) loss = 0.01 error progress = 2.56817%
completion: 48% (epoch=96)(element=6266) loss = 0.004 error progress = 2.55519%
completion: 52% (epoch=104)(element=6266) loss = 0.006 error progress = 2.54258%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.53044%
completion: 60% (epoch=120)(element=6266) loss = 0.02 error progress = 2.5193%
completion: 64% (epoch=128)(element=6266) loss = 0.012 error progress = 2.50928%
completion: 68% (epoch=136)(element=6266) loss = 0.015 error progress = 2.49999%
completion: 72% (epoch=144)(element=6266) loss = 0.004 error progress = 2.49067%
completion: 76% (epoch=152)(element=6266) loss = 0.028 error progress = 2.48181%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.47385%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.46666%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 2.46014%
completion: 92% (epoch=184)(element=6266) loss = 0.041 error progress = 2.45375%
completion: 96% (epoch=192)(element=6266) loss = 0.011 error progress = 2.448%
completion: 100% (epoch=200)(element=6266) loss = 0.01 error progress = 2.44245%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.26%
#FPplusFN=2089
minError=256 minErrorIndex=1 globalThreshold =-1.9630814559609
metrics area_roc = 90.5%
(beta) metrics area_precision_recall = 68.25%
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 = 280 / 516 (truth == 1) & (prediction < threshold)
TP = 236 / 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 = +0.57 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.61 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl1_time1524153721
$$$ hidden_units = 50 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.75718%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 2.57861%
completion: 12% (epoch=24)(element=6266) loss = 0.008 error progress = 2.48909%
completion: 16% (epoch=32)(element=6266) loss = 0.012 error progress = 2.42563%
completion: 20% (epoch=40)(element=6266) loss = 0.012 error progress = 2.3828%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.34906%
completion: 28% (epoch=56)(element=6266) loss = 0.014 error progress = 2.32021%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.29858%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.27912%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 2.26254%
completion: 44% (epoch=88)(element=6266) loss = 0.012 error progress = 2.24688%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.23204%
completion: 52% (epoch=104)(element=6266) loss = 0.006 error progress = 2.2198%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.20886%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.19933%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.18994%
completion: 68% (epoch=136)(element=6266) loss = 0.01 error progress = 2.18185%
completion: 72% (epoch=144)(element=6266) loss = 0.01 error progress = 2.17306%
completion: 76% (epoch=152)(element=6266) loss = 0.003 error progress = 2.16512%
completion: 80% (epoch=160)(element=6266) loss = 0.021 error progress = 2.15848%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 2.15165%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.14493%
completion: 92% (epoch=184)(element=6266) loss = 0.004 error progress = 2.1385%
completion: 96% (epoch=192)(element=6266) loss = 0.015 error progress = 2.13232%
completion: 100% (epoch=200)(element=6266) loss = 0.005 error progress = 2.12665%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.78%
#FPplusFN=2089
minError=234 minErrorIndex=1 globalThreshold =-1.4431706054754
metrics area_roc = 90.33%
(beta) metrics area_precision_recall = 71.15%
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 = 301 / 516 (truth == 1) & (prediction < threshold)
TP = 215 / 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 = +0.56 ::::
accuracy = 0.85 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.57 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl1_time1524153896
$$$ hidden_units = 75 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.69314%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.52226%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.43226%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.36929%
completion: 20% (epoch=40)(element=6266) loss = 0.032 error progress = 2.32645%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.29425%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.26631%
completion: 32% (epoch=64)(element=6266) loss = 0.03 error progress = 2.24562%
completion: 36% (epoch=72)(element=6266) loss = 0.002 error progress = 2.22615%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.21027%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.19667%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.18177%
completion: 52% (epoch=104)(element=6266) loss = 0.005 error progress = 2.16961%
completion: 56% (epoch=112)(element=6266) loss = 0.006 error progress = 2.15702%
completion: 60% (epoch=120)(element=6266) loss = 0.009 error progress = 2.14588%
completion: 64% (epoch=128)(element=6266) loss = 0.004 error progress = 2.13531%
completion: 68% (epoch=136)(element=6266) loss = 0.023 error progress = 2.12658%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.11724%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.10797%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 2.09975%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.09237%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.08608%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 2.07942%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.07349%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 2.06814%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.88%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.8952312077446
metrics area_roc = 91.81%
(beta) metrics area_precision_recall = 70.74%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 275 / 516 (truth == 1) & (prediction < threshold)
TP = 241 / 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 = +0.59 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.62 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl1_time1524154094
$$$ hidden_units = 100 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.625%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.44817%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.3526%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.29467%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.24745%
completion: 24% (epoch=48)(element=6266) loss = 0.022 error progress = 2.21081%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.17971%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.15384%
completion: 36% (epoch=72)(element=6266) loss = 0.015 error progress = 2.13127%
completion: 40% (epoch=80)(element=6266) loss = 0.01 error progress = 2.11152%
completion: 44% (epoch=88)(element=6266) loss = 0.005 error progress = 2.09443%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.07967%
completion: 52% (epoch=104)(element=6266) loss = 0.017 error progress = 2.06574%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.05292%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.04195%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.03235%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.02293%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.01304%
completion: 76% (epoch=152)(element=6266) loss = 0.006 error progress = 2.00345%
completion: 80% (epoch=160)(element=6266) loss = 0.008 error progress = 1.99462%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.98603%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.9779%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.97091%
completion: 96% (epoch=192)(element=6266) loss = 0.009 error progress = 1.96391%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 1.95734%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.55%
#FPplusFN=2089
minError=208 minErrorIndex=1 globalThreshold =-1.3033124153873
metrics area_roc = 92.29%
(beta) metrics area_precision_recall = 71.96%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 261 / 516 (truth == 1) & (prediction < threshold)
TP = 255 / 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 = +0.61 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl1_time1524154327
$$$ hidden_units = 125 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.61155%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.43302%
completion: 12% (epoch=24)(element=6266) loss = 0.006 error progress = 2.34281%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.27858%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.2332%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.19415%
completion: 28% (epoch=56)(element=6266) loss = 0.012 error progress = 2.16467%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.1393%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.11727%
completion: 40% (epoch=80)(element=6266) loss = 0.018 error progress = 2.09611%
completion: 44% (epoch=88)(element=6266) loss = 0.005 error progress = 2.0777%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.06097%
completion: 52% (epoch=104)(element=6266) loss = 0.003 error progress = 2.04607%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.03149%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.01853%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.00591%
completion: 68% (epoch=136)(element=6266) loss = 0.005 error progress = 1.99446%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.98216%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.97149%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.96096%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.95089%
completion: 88% (epoch=176)(element=6266) loss = 0.009 error progress = 1.94162%
completion: 92% (epoch=184)(element=6266) loss = 0.008 error progress = 1.93319%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.92555%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.91744%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.51%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.4990365209924
metrics area_roc = 92.3%
(beta) metrics area_precision_recall = 73.07%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 234 / 516 (truth == 1) & (prediction < threshold)
TP = 282 / 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 = +0.64 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.68 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl1_time1524154603
$$$ hidden_units = 150 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.008 error progress = 2.55694%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.37963%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.29092%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.23569%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.19104%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.15301%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.12368%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.09965%
completion: 36% (epoch=72)(element=6266) loss = 0.008 error progress = 2.07677%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 2.05724%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.03981%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.02414%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.01001%
completion: 56% (epoch=112)(element=6266) loss = 0.006 error progress = 1.99599%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 1.98277%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.97076%
completion: 68% (epoch=136)(element=6266) loss = 0.007 error progress = 1.95944%
completion: 72% (epoch=144)(element=6266) loss = 0.018 error progress = 1.94873%
completion: 76% (epoch=152)(element=6266) loss = 0.013 error progress = 1.93871%
completion: 80% (epoch=160)(element=6266) loss = 0.012 error progress = 1.92889%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.91897%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.9095%
completion: 92% (epoch=184)(element=6266) loss = 0.003 error progress = 1.9008%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.89192%
completion: 100% (epoch=200)(element=6266) loss = 0.012 error progress = 1.88411%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.98%
#FPplusFN=2089
minError=225 minErrorIndex=1 globalThreshold =-1.5098229570253
metrics area_roc = 91.71%
(beta) metrics area_precision_recall = 71.46%
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 = 234 / 516 (truth == 1) & (prediction < threshold)
TP = 282 / 516 (truth == 1) & (prediction >= threshold)
FP = 38 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,535 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.63 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.67 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl1_time1524154923
$$$ hidden_units = 175 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.55539%
completion: 8% (epoch=16)(element=6266) loss = 0.002 error progress = 2.37548%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.28722%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.2241%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.17863%
completion: 24% (epoch=48)(element=6266) loss = 0.003 error progress = 2.14205%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.10937%
completion: 32% (epoch=64)(element=6266) loss = 0.016 error progress = 2.08096%
completion: 36% (epoch=72)(element=6266) loss = 0.01 error progress = 2.05655%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.03474%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.01598%
completion: 48% (epoch=96)(element=6266) loss = 0.006 error progress = 1.998%
completion: 52% (epoch=104)(element=6266) loss = 0.006 error progress = 1.9809%
completion: 56% (epoch=112)(element=6266) loss = 0.006 error progress = 1.96619%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.95214%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.93855%
completion: 68% (epoch=136)(element=6266) loss = 0.008 error progress = 1.92539%
completion: 72% (epoch=144)(element=6266) loss = 0.019 error progress = 1.91282%
completion: 76% (epoch=152)(element=6266) loss = 0.004 error progress = 1.90157%
completion: 80% (epoch=160)(element=6266) loss = 0.003 error progress = 1.89019%
completion: 84% (epoch=168)(element=6266) loss = 0.003 error progress = 1.87932%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.86927%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.85968%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.85106%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.84265%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.18%
#FPplusFN=2089
minError=209 minErrorIndex=1 globalThreshold =-1.3025887679355
metrics area_roc = 91.63%
(beta) metrics area_precision_recall = 72.82%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 196 / 516 (truth == 1) & (prediction < threshold)
TP = 320 / 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 = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.74 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl1_time1524155297
$$$ hidden_units = 200 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.5553%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.3673%
completion: 12% (epoch=24)(element=6266) loss = 0.003 error progress = 2.27463%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.21402%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.16385%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.12408%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.09016%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.06216%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.03741%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.01538%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 1.99447%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.97518%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.95763%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.94284%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.9288%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.91538%
completion: 68% (epoch=136)(element=6266) loss = 0.004 error progress = 1.90313%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.89167%
completion: 76% (epoch=152)(element=6266) loss = 0.004 error progress = 1.87982%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.86984%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.85979%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.84997%
completion: 92% (epoch=184)(element=6266) loss = 0.018 error progress = 1.84062%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.83196%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.82363%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.7%
#FPplusFN=2089
minError=221 minErrorIndex=1 globalThreshold =-1.5062191967574
metrics area_roc = 91.85%
(beta) metrics area_precision_recall = 72.51%
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 = 25 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,548 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl1_time1524155731
$$$ hidden_units = 225 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.519%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.34566%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.25776%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.19526%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 2.15%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.11337%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.08224%
completion: 32% (epoch=64)(element=6266) loss = 0.004 error progress = 2.0556%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.03195%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.01198%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.99231%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.97272%
completion: 52% (epoch=104)(element=6266) loss = 0.012 error progress = 1.95602%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.94027%
completion: 60% (epoch=120)(element=6266) loss = 0.005 error progress = 1.9255%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.91129%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.89777%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.88493%
completion: 76% (epoch=152)(element=6266) loss = 0.005 error progress = 1.8724%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.86103%
completion: 84% (epoch=168)(element=6266) loss = 0.007 error progress = 1.85049%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.83955%
completion: 92% (epoch=184)(element=6266) loss = 0.003 error progress = 1.82935%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.82073%
completion: 100% (epoch=200)(element=6266) loss = 0.011 error progress = 1.81147%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.55%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.2545081566938
metrics area_roc = 92.31%
(beta) metrics area_precision_recall = 71.79%
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 = -1, best = +1]
f1_score = 0.68 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl1_time1524156220
$$$ hidden_units = 250 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.52929%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.33548%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.24346%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.18258%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.13374%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.09399%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.0605%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.03267%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.00771%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.98461%
completion: 44% (epoch=88)(element=6266) loss = 0.004 error progress = 1.96306%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 1.94453%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.92764%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 1.91289%
completion: 60% (epoch=120)(element=6266) loss = 0.003 error progress = 1.8983%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.88576%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.87207%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.85975%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.84732%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.83568%
completion: 84% (epoch=168)(element=6266) loss = 0.006 error progress = 1.82514%
completion: 88% (epoch=176)(element=6266) loss = 0.005 error progress = 1.81478%
completion: 92% (epoch=184)(element=6266) loss = 0.005 error progress = 1.80508%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.79548%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.78578%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.55%
#FPplusFN=2089
minError=204 minErrorIndex=1 globalThreshold =-1.4456767846719
metrics area_roc = 92.48%
(beta) metrics area_precision_recall = 72.9%
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 = 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 = -1, best = +1]
f1_score = 0.69 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl1_time1524156784
$$$ hidden_units = 275 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.51353%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.33109%
completion: 12% (epoch=24)(element=6266) loss = 0.004 error progress = 2.23954%
completion: 16% (epoch=32)(element=6266) loss = 0.008 error progress = 2.17723%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.12882%
completion: 24% (epoch=48)(element=6266) loss = 0.01 error progress = 2.09093%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 2.0571%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.02778%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.00172%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.97899%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.95744%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 1.93871%
completion: 52% (epoch=104)(element=6266) loss = 0.007 error progress = 1.92165%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 1.90478%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.8905%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.87676%
completion: 68% (epoch=136)(element=6266) loss = 0.008 error progress = 1.8647%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.85159%
completion: 76% (epoch=152)(element=6266) loss = 0.007 error progress = 1.83945%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.82856%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.81715%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.80679%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.79655%
completion: 96% (epoch=192)(element=6266) loss = 0.003 error progress = 1.78727%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.77811%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.22%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.4446954188413
metrics area_roc = 91.57%
(beta) metrics area_precision_recall = 72.42%
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 = 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 = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl1_time1524157430
$$$ hidden_units = 300 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.49734%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 2.32733%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.23005%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.17083%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.12195%
completion: 24% (epoch=48)(element=6266) loss = 0.004 error progress = 2.0858%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.05653%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.02908%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.00432%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.98223%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.96222%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.94366%
completion: 52% (epoch=104)(element=6266) loss = 0.003 error progress = 1.92651%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 1.91042%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.89527%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.88132%
completion: 68% (epoch=136)(element=6266) loss = 0.014 error progress = 1.86794%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.85468%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.8421%
completion: 80% (epoch=160)(element=6266) loss = 0.003 error progress = 1.83012%
completion: 84% (epoch=168)(element=6266) loss = 0.006 error progress = 1.81896%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 1.80772%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.79706%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.78662%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.77667%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.51%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.7198952507562
metrics area_roc = 91.7%
(beta) metrics area_precision_recall = 70.38%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 199 / 516 (truth == 1) & (prediction < threshold)
TP = 317 / 516 (truth == 1) & (prediction >= threshold)
FP = 41 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,532 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl1_time1524158162
$$$ hidden_units = 350 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.005 error progress = 2.48335%
completion: 8% (epoch=16)(element=6266) loss = 0.004 error progress = 2.31114%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.21798%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.15327%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.10486%
completion: 24% (epoch=48)(element=6266) loss = 0.008 error progress = 2.06504%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.03091%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.00173%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 1.97553%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 1.95196%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.93184%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 1.9136%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.89485%
completion: 56% (epoch=112)(element=6266) loss = 0.003 error progress = 1.87796%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.86198%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.84752%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.83443%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.82119%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.809%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.79707%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.78598%
completion: 88% (epoch=176)(element=6266) loss = 0.004 error progress = 1.77461%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.7633%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.75304%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.74319%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.99%
#FPplusFN=2089
minError=206 minErrorIndex=1 globalThreshold =-1.4813164365146
metrics area_roc = 92.47%
(beta) metrics area_precision_recall = 74.07%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 211 / 516 (truth == 1) & (prediction < threshold)
TP = 305 / 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 = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl1_time1524162019
$$$ hidden_units = 400 hidden_layers = 1 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.47925%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.3043%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.21914%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.1557%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 2.10516%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.06543%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.03077%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.00129%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 1.97507%
completion: 40% (epoch=80)(element=6266) loss = 0.003 error progress = 1.95007%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.92667%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 1.90671%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.88744%
completion: 56% (epoch=112)(element=6266) loss = 0.005 error progress = 1.86918%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.85286%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.837%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 1.82271%
completion: 72% (epoch=144)(element=6266) loss = 0.003 error progress = 1.80954%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.7963%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.78356%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.77191%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.7607%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 1.74883%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.73773%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.7274%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.74%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.2994824237843
metrics area_roc = 92.8%
(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 = 253 / 516 (truth == 1) & (prediction < threshold)
TP = 263 / 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 = -1, best = +1]
f1_score = 0.66 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl1_time1524166175
$$$ hidden_units = 5 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.029 error progress = 4.33297%
completion: 8% (epoch=16)(element=6266) loss = 0.06 error progress = 4.22633%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 4.17797%
completion: 16% (epoch=32)(element=6266) loss = 0.059 error progress = 4.15529%
completion: 20% (epoch=40)(element=6266) loss = 0.047 error progress = 4.14482%
completion: 24% (epoch=48)(element=6266) loss = 0.016 error progress = 4.13521%
completion: 28% (epoch=56)(element=6266) loss = 0.062 error progress = 4.1279%
completion: 32% (epoch=64)(element=6266) loss = 0.037 error progress = 4.12103%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 4.11444%
completion: 40% (epoch=80)(element=6266) loss = 0.123 error progress = 4.10843%
completion: 44% (epoch=88)(element=6266) loss = 0.061 error progress = 4.10386%
completion: 48% (epoch=96)(element=6266) loss = 0.054 error progress = 4.09032%
completion: 52% (epoch=104)(element=6266) loss = 0.053 error progress = 4.07633%
completion: 56% (epoch=112)(element=6266) loss = 0.171 error progress = 4.06284%
completion: 60% (epoch=120)(element=6266) loss = 0.339 error progress = 4.05064%
completion: 64% (epoch=128)(element=6266) loss = 0.131 error progress = 4.04002%
completion: 68% (epoch=136)(element=6266) loss = 0.011 error progress = 4.02952%
completion: 72% (epoch=144)(element=6266) loss = 0.027 error progress = 4.02062%
completion: 76% (epoch=152)(element=6266) loss = 0.011 error progress = 4.0134%
completion: 80% (epoch=160)(element=6266) loss = 0.009 error progress = 4.00588%
completion: 84% (epoch=168)(element=6266) loss = 0.012 error progress = 3.99683%
completion: 88% (epoch=176)(element=6266) loss = 0.011 error progress = 3.98762%
completion: 92% (epoch=184)(element=6266) loss = 0.014 error progress = 3.97757%
completion: 96% (epoch=192)(element=6266) loss = 0.016 error progress = 3.97027%
completion: 100% (epoch=200)(element=6266) loss = 0.109 error progress = 3.96395%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.39%
#FPplusFN=2089
minError=474 minErrorIndex=1 globalThreshold =-0.78263504245752
metrics area_roc = 79.37%
(beta) metrics area_precision_recall = 37.68%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 492 / 516 (truth == 1) & (prediction < threshold)
TP = 24 / 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 = +0.1 ::::
accuracy = 0.75 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.09 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl2_time1524166354
$$$ hidden_units = 10 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.043 error progress = 3.81387%
completion: 8% (epoch=16)(element=6266) loss = 0.013 error progress = 3.61762%
completion: 12% (epoch=24)(element=6266) loss = 0.02 error progress = 3.5405%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 3.48853%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 3.45306%
completion: 24% (epoch=48)(element=6266) loss = 0.039 error progress = 3.42997%
completion: 28% (epoch=56)(element=6266) loss = 0.018 error progress = 3.40958%
completion: 32% (epoch=64)(element=6266) loss = 0.008 error progress = 3.39384%
completion: 36% (epoch=72)(element=6266) loss = 0.021 error progress = 3.38112%
completion: 40% (epoch=80)(element=6266) loss = 0.018 error progress = 3.37295%
completion: 44% (epoch=88)(element=6266) loss = 0.035 error progress = 3.36352%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 3.35674%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 3.34775%
completion: 56% (epoch=112)(element=6266) loss = 0.04 error progress = 3.34222%
completion: 60% (epoch=120)(element=6266) loss = 0.006 error progress = 3.33572%
completion: 64% (epoch=128)(element=6266) loss = 0.012 error progress = 3.33198%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 3.32714%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 3.32306%
completion: 76% (epoch=152)(element=6266) loss = 0.06 error progress = 3.32062%
completion: 80% (epoch=160)(element=6266) loss = 0.067 error progress = 3.31726%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 3.31428%
completion: 88% (epoch=176)(element=6266) loss = 0.02 error progress = 3.31148%
completion: 92% (epoch=184)(element=6266) loss = 0.069 error progress = 3.30933%
completion: 96% (epoch=192)(element=6266) loss = 0.005 error progress = 3.30727%
completion: 100% (epoch=200)(element=6266) loss = 0.045 error progress = 3.30391%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 78.41%
#FPplusFN=2089
minError=361 minErrorIndex=1 globalThreshold =-1.6803030008792
metrics area_roc = 85.53%
(beta) metrics area_precision_recall = 53.44%
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 = 420 / 516 (truth == 1) & (prediction < threshold)
TP = 96 / 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 = +0.3 ::::
accuracy = 0.78 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.3 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl2_time1524166548
$$$ hidden_units = 25 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.025 error progress = 3.19551%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.97993%
completion: 12% (epoch=24)(element=6266) loss = 0.017 error progress = 2.86451%
completion: 16% (epoch=32)(element=6266) loss = 0.009 error progress = 2.79838%
completion: 20% (epoch=40)(element=6266) loss = 0.009 error progress = 2.75158%
completion: 24% (epoch=48)(element=6266) loss = 0.01 error progress = 2.71491%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.68483%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.65675%
completion: 36% (epoch=72)(element=6266) loss = 0.012 error progress = 2.63242%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.60996%
completion: 44% (epoch=88)(element=6266) loss = 0.018 error progress = 2.59141%
completion: 48% (epoch=96)(element=6266) loss = 0.019 error progress = 2.57431%
completion: 52% (epoch=104)(element=6266) loss = 0.024 error progress = 2.55898%
completion: 56% (epoch=112)(element=6266) loss = 0.032 error progress = 2.54564%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.53336%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.52221%
completion: 68% (epoch=136)(element=6266) loss = 0.004 error progress = 2.51149%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.50205%
completion: 76% (epoch=152)(element=6266) loss = 0.014 error progress = 2.49343%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.48481%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 2.47699%
completion: 88% (epoch=176)(element=6266) loss = 0.06 error progress = 2.47017%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.46267%
completion: 96% (epoch=192)(element=6266) loss = 0.011 error progress = 2.45673%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 2.45085%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 84.44%
#FPplusFN=2089
minError=264 minErrorIndex=1 globalThreshold =-1.4068013887447
metrics area_roc = 90.66%
(beta) metrics area_precision_recall = 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 = 288 / 516 (truth == 1) & (prediction < threshold)
TP = 228 / 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 = +0.54 ::::
accuracy = 0.84 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.58 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl2_time1524166760
$$$ hidden_units = 50 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.96383%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.76659%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.66418%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.59565%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.54282%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.50455%
completion: 28% (epoch=56)(element=6266) loss = 0.003 error progress = 2.47327%
completion: 32% (epoch=64)(element=6266) loss = 0.007 error progress = 2.44659%
completion: 36% (epoch=72)(element=6266) loss = 0.007 error progress = 2.42039%
completion: 40% (epoch=80)(element=6266) loss = 0.009 error progress = 2.39828%
completion: 44% (epoch=88)(element=6266) loss = 0.014 error progress = 2.37747%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.35673%
completion: 52% (epoch=104)(element=6266) loss = 0.004 error progress = 2.33794%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.32193%
completion: 60% (epoch=120)(element=6266) loss = 0.003 error progress = 2.30749%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 2.29446%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.28261%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.27006%
completion: 76% (epoch=152)(element=6266) loss = 0.003 error progress = 2.25897%
completion: 80% (epoch=160)(element=6266) loss = 0.004 error progress = 2.2484%
completion: 84% (epoch=168)(element=6266) loss = 0.003 error progress = 2.23831%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 2.22842%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 2.22007%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.21249%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 2.20513%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 85.69%
#FPplusFN=2089
minError=245 minErrorIndex=1 globalThreshold =-1.0668617699557
metrics area_roc = 90.04%
(beta) metrics area_precision_recall = 67.74%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 264 / 516 (truth == 1) & (prediction < threshold)
TP = 252 / 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 = +0.58 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.63 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl2_time1524166998
$$$ hidden_units = 75 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.86798%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.64872%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.53547%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.46578%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.41654%
completion: 24% (epoch=48)(element=6266) loss = 0.004 error progress = 2.37778%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.34413%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.31549%
completion: 36% (epoch=72)(element=6266) loss = 0.003 error progress = 2.29325%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.27371%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.25525%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.23727%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.2201%
completion: 56% (epoch=112)(element=6266) loss = 0.004 error progress = 2.20436%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.1905%
completion: 64% (epoch=128)(element=6266) loss = 0.003 error progress = 2.17822%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 2.16561%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.15368%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.14186%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 2.13134%
completion: 84% (epoch=168)(element=6266) loss = 0.003 error progress = 2.12169%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 2.11198%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 2.10364%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 2.09554%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 2.08706%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.18%
#FPplusFN=2089
minError=226 minErrorIndex=1 globalThreshold =-1.0465988818086
metrics area_roc = 91.51%
(beta) metrics area_precision_recall = 71.23%
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 = 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 = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl2_time1524167280
$$$ hidden_units = 100 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.73355%
completion: 8% (epoch=16)(element=6266) loss = 0.007 error progress = 2.54891%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.45462%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.38666%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.33109%
completion: 24% (epoch=48)(element=6266) loss = 0.008 error progress = 2.28746%
completion: 28% (epoch=56)(element=6266) loss = 0.018 error progress = 2.25384%
completion: 32% (epoch=64)(element=6266) loss = 0.005 error progress = 2.22236%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.19354%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.16832%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.1471%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.12695%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.10999%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.0928%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.07898%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.06573%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.0525%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.04108%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 2.03175%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.02112%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.01178%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 2.00295%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.9938%
completion: 96% (epoch=192)(element=6266) loss = 0.004 error progress = 1.98604%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.97752%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.98%
#FPplusFN=2089
minError=210 minErrorIndex=1 globalThreshold =-1.1555937076429
metrics area_roc = 91.84%
(beta) metrics area_precision_recall = 72.82%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 223 / 516 (truth == 1) & (prediction < threshold)
TP = 293 / 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 = -1, best = +1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl2_time1524167624
$$$ hidden_units = 125 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.68175%
completion: 8% (epoch=16)(element=6266) loss = 0.007 error progress = 2.49902%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.40267%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.33901%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.29078%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.25393%
completion: 28% (epoch=56)(element=6266) loss = 0.003 error progress = 2.22096%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.19242%
completion: 36% (epoch=72)(element=6266) loss = 0.002 error progress = 2.16546%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.14108%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.12099%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.102%
completion: 52% (epoch=104)(element=6266) loss = 0.003 error progress = 2.08455%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.06741%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.05252%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.03923%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 2.02726%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.01597%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.00326%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.99271%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.9827%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.97333%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.96429%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.95586%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.94676%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.27%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.0142351377826
metrics area_roc = 91.3%
(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 = 222 / 516 (truth == 1) & (prediction < threshold)
TP = 294 / 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 = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl2_time1524168035
$$$ hidden_units = 150 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.6662%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.48024%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.38375%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.31561%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.26553%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.22219%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.18738%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.15319%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.12749%
completion: 40% (epoch=80)(element=6266) loss = 0.004 error progress = 2.10338%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.08008%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.06065%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.04138%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.02363%
completion: 60% (epoch=120)(element=6266) loss = 0.003 error progress = 2.00642%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.99126%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.97713%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.96425%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.95312%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.94143%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.92954%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.91908%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 1.90853%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.89918%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.88967%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.27%
#FPplusFN=2089
minError=230 minErrorIndex=1 globalThreshold =-1.0258919354359
metrics area_roc = 91.69%
(beta) metrics area_precision_recall = 70.75%
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 = 216 / 516 (truth == 1) & (prediction < threshold)
TP = 300 / 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 = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl2_time1524168533
$$$ hidden_units = 175 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.62926%
completion: 8% (epoch=16)(element=6266) loss = 0.013 error progress = 2.43947%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.34185%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.27044%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.21735%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.17647%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.14064%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.109%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.08164%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.05626%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.03441%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.0139%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.99669%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.9798%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.96273%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.9485%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.9347%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.92079%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 1.90875%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.8974%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.88679%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.87599%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.86596%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.85706%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.84855%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.32%
#FPplusFN=2089
minError=226 minErrorIndex=1 globalThreshold =-1.1950512362944
metrics area_roc = 92.74%
(beta) metrics area_precision_recall = 71.77%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 209 / 516 (truth == 1) & (prediction < threshold)
TP = 307 / 516 (truth == 1) & (prediction >= threshold)
FP = 35 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,538 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl2_time1524169125
$$$ hidden_units = 200 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.008 error progress = 2.60677%
completion: 8% (epoch=16)(element=6266) loss = 0.008 error progress = 2.42299%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.31759%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.24508%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.19178%
completion: 24% (epoch=48)(element=6266) loss = 0.004 error progress = 2.14425%
completion: 28% (epoch=56)(element=6266) loss = 0.009 error progress = 2.10488%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.07221%
completion: 36% (epoch=72)(element=6266) loss = 0.003 error progress = 2.04481%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.02131%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.9996%
completion: 48% (epoch=96)(element=6266) loss = 0.003 error progress = 1.98082%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.96324%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.94691%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.93084%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.91617%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.90177%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.88929%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.87783%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.86638%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.85612%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.84621%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.83599%
completion: 96% (epoch=192)(element=6266) loss = 0.002 error progress = 1.82666%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.81745%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.84%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.031418999172
metrics area_roc = 91.97%
(beta) metrics area_precision_recall = 70.8%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 216 / 516 (truth == 1) & (prediction < threshold)
TP = 300 / 516 (truth == 1) & (prediction >= threshold)
FP = 38 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,535 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.65 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl2_time1524169829
$$$ hidden_units = 225 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.61617%
completion: 8% (epoch=16)(element=6266) loss = 0.002 error progress = 2.42366%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.31826%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.24416%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.18825%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.14295%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.10491%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.07272%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.0431%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.0187%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 1.99461%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 1.9737%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.95443%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.93768%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.92098%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.90597%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.89163%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.87808%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.86611%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.85468%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.84366%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.83294%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.82216%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.81223%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.80371%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.03%
#FPplusFN=2089
minError=216 minErrorIndex=1 globalThreshold =-1.0235431107956
metrics area_roc = 92.12%
(beta) metrics area_precision_recall = 70.5%
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 = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl2_time1524173622
$$$ hidden_units = 250 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.003 error progress = 2.56612%
completion: 8% (epoch=16)(element=6266) loss = 0.002 error progress = 2.38402%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.28317%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.21264%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.1595%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.11568%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.07759%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.04434%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.01824%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 1.9946%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.97286%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 1.95306%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.93524%
completion: 56% (epoch=112)(element=6266) loss = 0.009 error progress = 1.92004%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.90544%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.8919%
completion: 68% (epoch=136)(element=6266) loss = 0.004 error progress = 1.87733%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.86526%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.85343%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.84154%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.8298%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.81979%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.80994%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.80044%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.79111%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.85%
#FPplusFN=2089
minError=208 minErrorIndex=1 globalThreshold =-1.1999765516704
metrics area_roc = 92.34%
(beta) metrics area_precision_recall = 72.82%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 205 / 516 (truth == 1) & (prediction < threshold)
TP = 311 / 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 = -1, best = +1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl2_time1524177615
$$$ hidden_units = 275 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.55234%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.36666%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.26189%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.1927%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.14181%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.09891%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.06317%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.0326%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.00448%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 1.98007%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.9565%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.93613%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.91792%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.90117%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.88638%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.87147%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.85851%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.84579%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.8329%
completion: 80% (epoch=160)(element=6266) loss = 0.003 error progress = 1.8211%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.8101%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.79925%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.78906%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.77988%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.77105%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.65%
#FPplusFN=2089
minError=215 minErrorIndex=1 globalThreshold =-1.0982113177155
metrics area_roc = 92.52%
(beta) metrics area_precision_recall = 73.73%
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 = 25 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,548 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl2_time1524181728
$$$ hidden_units = 300 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.57088%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.37801%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.27644%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.20464%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.14633%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.09691%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.06047%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.02672%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 1.99703%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.97152%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.94962%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 1.93169%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.91364%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.89719%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.88204%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.86755%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.85436%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.84115%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.82928%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.81805%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.80765%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.79725%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.7876%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.77732%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 1.76739%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.37%
#FPplusFN=2089
minError=219 minErrorIndex=1 globalThreshold =-1.0464620428665
metrics area_roc = 91.81%
(beta) metrics area_precision_recall = 72.34%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 209 / 516 (truth == 1) & (prediction < threshold)
TP = 307 / 516 (truth == 1) & (prediction >= threshold)
FP = 34 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,539 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl2_time1524186008
$$$ hidden_units = 350 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.5238%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.33961%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.24549%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.17432%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.12048%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.07547%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.03653%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.00418%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 1.97584%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 1.95125%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.92871%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.90898%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.88913%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.87194%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.85541%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.83906%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.82417%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.81073%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 1.79751%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.7852%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.77304%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.76153%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.75036%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.73954%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.72938%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.75%
#FPplusFN=2089
minError=217 minErrorIndex=1 globalThreshold =-1.0631856382209
metrics area_roc = 91.88%
(beta) metrics area_precision_recall = 72.75%
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 = 212 / 516 (truth == 1) & (prediction < threshold)
TP = 304 / 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 = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl2_time1524190637
$$$ hidden_units = 400 hidden_layers = 2 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.007 error progress = 2.51814%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.32802%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.22922%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.15884%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.10375%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.05784%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.01774%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 1.98548%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 1.95815%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.93267%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.91019%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.88949%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.87154%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.85479%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.8387%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.82367%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.81035%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.79774%
completion: 76% (epoch=152)(element=6266) loss = 0.003 error progress = 1.78428%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.77269%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.7612%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 1.7509%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.74%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.73005%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.71967%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.94%
#FPplusFN=2089
minError=201 minErrorIndex=1 globalThreshold =-1.1786834580081
metrics area_roc = 92.56%
(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 = 206 / 516 (truth == 1) & (prediction < threshold)
TP = 310 / 516 (truth == 1) & (prediction >= threshold)
FP = 25 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,548 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.73 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl2_time1524195551
$$$ hidden_units = 5 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.058 error progress = 4.78142%
completion: 8% (epoch=16)(element=6266) loss = 0.063 error progress = 4.69741%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 4.63156%
completion: 16% (epoch=32)(element=6266) loss = 0.097 error progress = 4.56697%
completion: 20% (epoch=40)(element=6266) loss = 0.2 error progress = 4.51545%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 4.47893%
completion: 28% (epoch=56)(element=6266) loss = 0.008 error progress = 4.45074%
completion: 32% (epoch=64)(element=6266) loss = 0.006 error progress = 4.42937%
completion: 36% (epoch=72)(element=6266) loss = 0.056 error progress = 4.4123%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 4.39761%
completion: 44% (epoch=88)(element=6266) loss = 0.119 error progress = 4.38427%
completion: 48% (epoch=96)(element=6266) loss = 0.008 error progress = 4.37462%
completion: 52% (epoch=104)(element=6266) loss = 0.076 error progress = 4.36648%
completion: 56% (epoch=112)(element=6266) loss = 0.18 error progress = 4.3592%
completion: 60% (epoch=120)(element=6266) loss = 0.195 error progress = 4.35398%
completion: 64% (epoch=128)(element=6266) loss = 0.019 error progress = 4.34651%
completion: 68% (epoch=136)(element=6266) loss = 0.088 error progress = 4.34095%
completion: 72% (epoch=144)(element=6266) loss = 0.021 error progress = 4.3357%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 4.33058%
completion: 80% (epoch=160)(element=6266) loss = 0.011 error progress = 4.32578%
completion: 84% (epoch=168)(element=6266) loss = 0.048 error progress = 4.32144%
completion: 88% (epoch=176)(element=6266) loss = 0.108 error progress = 4.31634%
completion: 92% (epoch=184)(element=6266) loss = 0.08 error progress = 4.31313%
completion: 96% (epoch=192)(element=6266) loss = 0.003 error progress = 4.3102%
completion: 100% (epoch=200)(element=6266) loss = 0.007 error progress = 4.30898%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 75.3%
ATTENTION: all the predictions are FALSE
#FPplusFN=2089
minError=513 minErrorIndex=1 globalThreshold =-1.2509811394918
metrics area_roc = 73.18%
(beta) metrics area_precision_recall = 32.52%
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 = 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 = -1, best = +1]
f1_score = 0 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus5_hl3_time1524195783
$$$ hidden_units = 10 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 4.62323%
completion: 8% (epoch=16)(element=6266) loss = 0.068 error progress = 4.3396%
completion: 12% (epoch=24)(element=6266) loss = 0.007 error progress = 4.21242%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 4.14376%
completion: 20% (epoch=40)(element=6266) loss = 0.03 error progress = 4.09595%
completion: 24% (epoch=48)(element=6266) loss = 0.184 error progress = 4.05701%
completion: 28% (epoch=56)(element=6266) loss = 0.005 error progress = 3.99066%
completion: 32% (epoch=64)(element=6266) loss = 0.006 error progress = 3.9234%
completion: 36% (epoch=72)(element=6266) loss = 0.005 error progress = 3.85966%
completion: 40% (epoch=80)(element=6266) loss = 0.005 error progress = 3.80845%
completion: 44% (epoch=88)(element=6266) loss = 0.012 error progress = 3.76669%
completion: 48% (epoch=96)(element=6266) loss = 0.338 error progress = 3.73161%
completion: 52% (epoch=104)(element=6266) loss = 0.008 error progress = 3.70465%
completion: 56% (epoch=112)(element=6266) loss = 0.005 error progress = 3.68114%
completion: 60% (epoch=120)(element=6266) loss = 0.008 error progress = 3.65869%
completion: 64% (epoch=128)(element=6266) loss = 0.221 error progress = 3.6414%
completion: 68% (epoch=136)(element=6266) loss = 0.005 error progress = 3.62509%
completion: 72% (epoch=144)(element=6266) loss = 0.008 error progress = 3.61326%
completion: 76% (epoch=152)(element=6266) loss = 0.008 error progress = 3.60163%
completion: 80% (epoch=160)(element=6266) loss = 0.005 error progress = 3.59306%
completion: 84% (epoch=168)(element=6266) loss = 0.005 error progress = 3.58331%
completion: 88% (epoch=176)(element=6266) loss = 0.011 error progress = 3.5749%
completion: 92% (epoch=184)(element=6266) loss = 0.011 error progress = 3.56781%
completion: 96% (epoch=192)(element=6266) loss = 0.008 error progress = 3.56181%
completion: 100% (epoch=200)(element=6266) loss = 0.007 error progress = 3.55558%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 76.5%
#FPplusFN=2089
minError=437 minErrorIndex=1 globalThreshold =-0.8359155098794
metrics area_roc = 83.18%
(beta) metrics area_precision_recall = 31.02%
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 = 441 / 516 (truth == 1) & (prediction < threshold)
TP = 75 / 516 (truth == 1) & (prediction >= threshold)
FP = 50 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,523 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.21 ::::
accuracy = 0.76 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.23 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus10_hl3_time1524196020
$$$ hidden_units = 25 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 3.57734%
completion: 8% (epoch=16)(element=6266) loss = 0.101 error progress = 3.26736%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 3.12196%
completion: 16% (epoch=32)(element=6266) loss = 0.024 error progress = 3.03638%
completion: 20% (epoch=40)(element=6266) loss = 0.007 error progress = 2.9805%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.94243%
completion: 28% (epoch=56)(element=6266) loss = 0.007 error progress = 2.90338%
completion: 32% (epoch=64)(element=6266) loss = 0.014 error progress = 2.87861%
completion: 36% (epoch=72)(element=6266) loss = 0.037 error progress = 2.86054%
completion: 40% (epoch=80)(element=6266) loss = 0.041 error progress = 2.83969%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.81732%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.79971%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.7835%
completion: 56% (epoch=112)(element=6266) loss = 0.007 error progress = 2.77196%
completion: 60% (epoch=120)(element=6266) loss = 0.007 error progress = 2.75717%
completion: 64% (epoch=128)(element=6266) loss = 0.005 error progress = 2.74489%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 2.73402%
completion: 72% (epoch=144)(element=6266) loss = 0.006 error progress = 2.72325%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.71317%
completion: 80% (epoch=160)(element=6266) loss = 0.006 error progress = 2.70494%
completion: 84% (epoch=168)(element=6266) loss = 0.004 error progress = 2.6961%
completion: 88% (epoch=176)(element=6266) loss = 0.023 error progress = 2.68913%
completion: 92% (epoch=184)(element=6266) loss = 0.004 error progress = 2.6817%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.6746%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 2.66801%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 81.76%
#FPplusFN=2089
minError=297 minErrorIndex=1 globalThreshold =-1.3555340092447
metrics area_roc = 87.93%
(beta) metrics area_precision_recall = 55.83%
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 = 307 / 516 (truth == 1) & (prediction < threshold)
TP = 209 / 516 (truth == 1) & (prediction >= threshold)
FP = 74 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,499 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.45 ::::
accuracy = 0.82 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.52 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus25_hl3_time1524196270
$$$ hidden_units = 50 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.082 error progress = 3.1243%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.90512%
completion: 12% (epoch=24)(element=6266) loss = 0.088 error progress = 2.8031%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.72007%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.65955%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.61004%
completion: 28% (epoch=56)(element=6266) loss = 0.009 error progress = 2.5714%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.53351%
completion: 36% (epoch=72)(element=6266) loss = 0.011 error progress = 2.49988%
completion: 40% (epoch=80)(element=6266) loss = 0.009 error progress = 2.46947%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.44419%
completion: 48% (epoch=96)(element=6266) loss = 0.006 error progress = 2.42219%
completion: 52% (epoch=104)(element=6266) loss = 0.011 error progress = 2.39989%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 2.38199%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.36667%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 2.35321%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 2.3407%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 2.32884%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 2.31662%
completion: 80% (epoch=160)(element=6266) loss = 0.006 error progress = 2.30526%
completion: 84% (epoch=168)(element=6266) loss = 0.005 error progress = 2.29471%
completion: 88% (epoch=176)(element=6266) loss = 0.01 error progress = 2.28567%
completion: 92% (epoch=184)(element=6266) loss = 0.012 error progress = 2.27888%
completion: 96% (epoch=192)(element=6266) loss = 0.007 error progress = 2.27318%
completion: 100% (epoch=200)(element=6266) loss = 0.003 error progress = 2.26794%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.07%
#FPplusFN=2089
minError=229 minErrorIndex=1 globalThreshold =-1.3104198785626
metrics area_roc = 91.02%
(beta) metrics area_precision_recall = 67.48%
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 = 254 / 516 (truth == 1) & (prediction < threshold)
TP = 262 / 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 = +0.6 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.64 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus50_hl3_time1524196569
$$$ hidden_units = 75 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.043 error progress = 2.94616%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.71159%
completion: 12% (epoch=24)(element=6266) loss = 0.01 error progress = 2.58114%
completion: 16% (epoch=32)(element=6266) loss = 0.005 error progress = 2.49698%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.43715%
completion: 24% (epoch=48)(element=6266) loss = 0.037 error progress = 2.38984%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.35172%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.3197%
completion: 36% (epoch=72)(element=6266) loss = 0.01 error progress = 2.29044%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.26736%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.24739%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.23196%
completion: 52% (epoch=104)(element=6266) loss = 0.01 error progress = 2.21494%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.19985%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 2.18726%
completion: 64% (epoch=128)(element=6266) loss = 0.006 error progress = 2.17537%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 2.16824%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.15851%
completion: 76% (epoch=152)(element=6266) loss = 0.004 error progress = 2.15096%
completion: 80% (epoch=160)(element=6266) loss = 0.008 error progress = 2.14087%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.13351%
completion: 88% (epoch=176)(element=6266) loss = 0 error progress = 2.12665%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 2.11891%
completion: 96% (epoch=192)(element=6266) loss = 0.009 error progress = 2.11193%
completion: 100% (epoch=200)(element=6266) loss = 0.007 error progress = 2.10559%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.5%
#FPplusFN=2089
minError=218 minErrorIndex=1 globalThreshold =-1.3535727583926
metrics area_roc = 91.8%
(beta) metrics area_precision_recall = 69.84%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 250 / 516 (truth == 1) & (prediction < threshold)
TP = 266 / 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 = +0.61 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.65 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus75_hl3_time1524196935
$$$ hidden_units = 100 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.90598%
completion: 8% (epoch=16)(element=6266) loss = 0.007 error progress = 2.67859%
completion: 12% (epoch=24)(element=6266) loss = 0.006 error progress = 2.55177%
completion: 16% (epoch=32)(element=6266) loss = 0.003 error progress = 2.46448%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.40023%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.35317%
completion: 28% (epoch=56)(element=6266) loss = 0.003 error progress = 2.31561%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.28578%
completion: 36% (epoch=72)(element=6266) loss = 0.002 error progress = 2.25659%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.23136%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.21208%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.19295%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.17558%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.15861%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.14636%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.13444%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 2.12093%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 2.10822%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.09681%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.0865%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 2.07497%
completion: 88% (epoch=176)(element=6266) loss = 0.003 error progress = 2.06424%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 2.05449%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 2.04429%
completion: 100% (epoch=200)(element=6266) loss = 0.002 error progress = 2.03686%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.98%
#FPplusFN=2089
minError=232 minErrorIndex=1 globalThreshold =-0.97765096562559
metrics area_roc = 91.1%
(beta) metrics area_precision_recall = 67.34%
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 = 33 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,540 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.63 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.67 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus100_hl3_time1524197379
$$$ hidden_units = 125 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.006 error progress = 2.84469%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.61254%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.48924%
completion: 16% (epoch=32)(element=6266) loss = 0.009 error progress = 2.41295%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.34949%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.30047%
completion: 28% (epoch=56)(element=6266) loss = 0.004 error progress = 2.25997%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.22788%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.20171%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.17772%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.15686%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.13796%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.12191%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.10573%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 2.09068%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 2.07775%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 2.06526%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 2.05647%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 2.04666%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 2.03592%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 2.02531%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 2.01638%
completion: 92% (epoch=184)(element=6266) loss = 0.002 error progress = 2.00629%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.99793%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.99114%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 86.31%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.0188759087651
metrics area_roc = 91.66%
(beta) metrics area_precision_recall = 73.25%
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 = 271 / 516 (truth == 1) & (prediction < threshold)
TP = 245 / 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 = +0.61 ::::
accuracy = 0.86 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.63 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus125_hl3_time1524197925
$$$ hidden_units = 150 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.77275%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.55195%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.43572%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.36166%
completion: 20% (epoch=40)(element=6266) loss = 0.004 error progress = 2.30343%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.26024%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.2215%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.18704%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.15655%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.12895%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.10637%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 2.08603%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 2.06579%
completion: 56% (epoch=112)(element=6266) loss = 0.002 error progress = 2.04967%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.03315%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 2.0178%
completion: 68% (epoch=136)(element=6266) loss = 0.003 error progress = 2.00317%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.99161%
completion: 76% (epoch=152)(element=6266) loss = 0.002 error progress = 1.98049%
completion: 80% (epoch=160)(element=6266) loss = 0.002 error progress = 1.96899%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.95926%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.94903%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.93926%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.93005%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.92043%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.17%
#FPplusFN=2089
minError=218 minErrorIndex=1 globalThreshold =-0.98718689853762
metrics area_roc = 91.58%
(beta) metrics area_precision_recall = 72.2%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 247 / 516 (truth == 1) & (prediction < threshold)
TP = 269 / 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 = +0.63 ::::
accuracy = 0.87 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.67 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus150_hl3_time1524198595
$$$ hidden_units = 175 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.017 error progress = 2.75595%
completion: 8% (epoch=16)(element=6266) loss = 0.001 error progress = 2.52614%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.40915%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.32913%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.26646%
completion: 24% (epoch=48)(element=6266) loss = 0.002 error progress = 2.21875%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.1804%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.15036%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.12159%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.09762%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.07475%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.054%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 2.03497%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 2.01774%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 2.00463%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.98911%
completion: 68% (epoch=136)(element=6266) loss = 0.002 error progress = 1.97632%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.96382%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.95179%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.94195%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.93078%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.92225%
completion: 92% (epoch=184)(element=6266) loss = 0.016 error progress = 1.91317%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.90364%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.89507%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.56%
#FPplusFN=2089
minError=211 minErrorIndex=1 globalThreshold =-0.95328979671552
metrics area_roc = 92.01%
(beta) metrics area_precision_recall = 71.16%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 210 / 516 (truth == 1) & (prediction < threshold)
TP = 306 / 516 (truth == 1) & (prediction >= threshold)
FP = 29 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,544 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus175_hl3_time1524199413
$$$ hidden_units = 200 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.04 error progress = 2.71968%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.50301%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.38259%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.30597%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.24893%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.20104%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.16062%
completion: 32% (epoch=64)(element=6266) loss = 0.004 error progress = 2.12693%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.09699%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.07065%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 2.04835%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 2.02872%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.01203%
completion: 56% (epoch=112)(element=6266) loss = 0 error progress = 1.99485%
completion: 60% (epoch=120)(element=6266) loss = 0 error progress = 1.97892%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.9637%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.95057%
completion: 72% (epoch=144)(element=6266) loss = 0.002 error progress = 1.93711%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.92679%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.91622%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.90653%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.89834%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.8894%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.88117%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.87291%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.22%
#FPplusFN=2089
minError=207 minErrorIndex=1 globalThreshold =-1.0318606233252
metrics area_roc = 91.64%
(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 = 222 / 516 (truth == 1) & (prediction < threshold)
TP = 294 / 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 = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus200_hl3_time1524203417
$$$ hidden_units = 225 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.003 error progress = 2.68138%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.4729%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.3653%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.28766%
completion: 20% (epoch=40)(element=6266) loss = 0.005 error progress = 2.23037%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.18646%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.14863%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.1156%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.08805%
completion: 40% (epoch=80)(element=6266) loss = 0.002 error progress = 2.06522%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.04438%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.02528%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 2.00784%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.99068%
completion: 60% (epoch=120)(element=6266) loss = 0.002 error progress = 1.97441%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.96069%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.94751%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.93392%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.92178%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.90993%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.89902%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.88905%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.87882%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.86916%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.8596%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.08%
#FPplusFN=2089
minError=212 minErrorIndex=1 globalThreshold =-1.0007919334073
metrics area_roc = 92.04%
(beta) metrics area_precision_recall = 73.25%
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 = 230 / 516 (truth == 1) & (prediction < threshold)
TP = 286 / 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 = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus225_hl3_time1524207668
$$$ hidden_units = 250 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.002 error progress = 2.65298%
completion: 8% (epoch=16)(element=6266) loss = 0.003 error progress = 2.44927%
completion: 12% (epoch=24)(element=6266) loss = 0.004 error progress = 2.33828%
completion: 16% (epoch=32)(element=6266) loss = 0.004 error progress = 2.26754%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.21331%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.17108%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.13441%
completion: 32% (epoch=64)(element=6266) loss = 0.002 error progress = 2.10041%
completion: 36% (epoch=72)(element=6266) loss = 0.002 error progress = 2.07308%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 2.04812%
completion: 44% (epoch=88)(element=6266) loss = 0.002 error progress = 2.02713%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 2.00661%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.98825%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.97396%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.95881%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.94579%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.93251%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.91966%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.90734%
completion: 80% (epoch=160)(element=6266) loss = 0 error progress = 1.89601%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.88561%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.87496%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.8659%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.85661%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.84807%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 87.98%
#FPplusFN=2089
minError=222 minErrorIndex=1 globalThreshold =-1.0855412399777
metrics area_roc = 91.77%
(beta) metrics area_precision_recall = 73.66%
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 = 211 / 516 (truth == 1) & (prediction < threshold)
TP = 305 / 516 (truth == 1) & (prediction >= threshold)
FP = 40 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,533 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.66 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.71 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus250_hl3_time1524211974
$$$ hidden_units = 275 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.003 error progress = 2.6666%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.45276%
completion: 12% (epoch=24)(element=6266) loss = 0 error progress = 2.33221%
completion: 16% (epoch=32)(element=6266) loss = 0.002 error progress = 2.2592%
completion: 20% (epoch=40)(element=6266) loss = 0.003 error progress = 2.20597%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.16091%
completion: 28% (epoch=56)(element=6266) loss = 0.001 error progress = 2.12284%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.09103%
completion: 36% (epoch=72)(element=6266) loss = 0 error progress = 2.06361%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.03713%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 2.01402%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 1.99187%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.97236%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.95738%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.94087%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.92492%
completion: 68% (epoch=136)(element=6266) loss = 0 error progress = 1.91047%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.89831%
completion: 76% (epoch=152)(element=6266) loss = 0 error progress = 1.88812%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.87718%
completion: 84% (epoch=168)(element=6266) loss = 0 error progress = 1.86566%
completion: 88% (epoch=176)(element=6266) loss = 0.002 error progress = 1.85557%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.84516%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.83505%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.82536%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.65%
#FPplusFN=2089
minError=213 minErrorIndex=1 globalThreshold =-1.0419569482332
metrics area_roc = 91.36%
(beta) metrics area_precision_recall = 72.74%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 207 / 516 (truth == 1) & (prediction < threshold)
TP = 309 / 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 = +0.68 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.72 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus275_hl3_time1524216601
$$$ hidden_units = 300 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.007 error progress = 2.63072%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.41421%
completion: 12% (epoch=24)(element=6266) loss = 0.004 error progress = 2.30457%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.23374%
completion: 20% (epoch=40)(element=6266) loss = 0 error progress = 2.18134%
completion: 24% (epoch=48)(element=6266) loss = 0 error progress = 2.13557%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.10087%
completion: 32% (epoch=64)(element=6266) loss = 0 error progress = 2.06867%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.04065%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 2.01654%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.99323%
completion: 48% (epoch=96)(element=6266) loss = 0.002 error progress = 1.97435%
completion: 52% (epoch=104)(element=6266) loss = 0 error progress = 1.95492%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.9364%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.92105%
completion: 64% (epoch=128)(element=6266) loss = 0.001 error progress = 1.90675%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.89205%
completion: 72% (epoch=144)(element=6266) loss = 0.004 error progress = 1.88027%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.86962%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.86012%
completion: 84% (epoch=168)(element=6266) loss = 0.002 error progress = 1.85124%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.84135%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.83174%
completion: 96% (epoch=192)(element=6266) loss = 0.001 error progress = 1.82312%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.81507%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.03%
#FPplusFN=2089
minError=216 minErrorIndex=1 globalThreshold =-0.99047290091101
metrics area_roc = 91.84%
(beta) metrics area_precision_recall = 72.67%
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 = 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 = -1, best = +1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus300_hl3_time1524221343
$$$ hidden_units = 350 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0 error progress = 2.629%
completion: 8% (epoch=16)(element=6266) loss = 0.002 error progress = 2.42069%
completion: 12% (epoch=24)(element=6266) loss = 0.001 error progress = 2.3032%
completion: 16% (epoch=32)(element=6266) loss = 0 error progress = 2.22888%
completion: 20% (epoch=40)(element=6266) loss = 0.001 error progress = 2.17118%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.12379%
completion: 28% (epoch=56)(element=6266) loss = 0.002 error progress = 2.08521%
completion: 32% (epoch=64)(element=6266) loss = 0.003 error progress = 2.05244%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.02289%
completion: 40% (epoch=80)(element=6266) loss = 0.001 error progress = 1.99922%
completion: 44% (epoch=88)(element=6266) loss = 0 error progress = 1.97614%
completion: 48% (epoch=96)(element=6266) loss = 0.001 error progress = 1.9543%
completion: 52% (epoch=104)(element=6266) loss = 0.002 error progress = 1.93572%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.91661%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.8995%
completion: 64% (epoch=128)(element=6266) loss = 0.002 error progress = 1.88408%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.87114%
completion: 72% (epoch=144)(element=6266) loss = 0.001 error progress = 1.85749%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.84445%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.83183%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.82093%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.80937%
completion: 92% (epoch=184)(element=6266) loss = 0 error progress = 1.79912%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.78947%
completion: 100% (epoch=200)(element=6266) loss = 0.001 error progress = 1.78111%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 89.04%
#FPplusFN=2089
minError=203 minErrorIndex=1 globalThreshold =-0.97653703056944
metrics area_roc = 92%
(beta) metrics area_precision_recall = 72.82%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 189 / 516 (truth == 1) & (prediction < threshold)
TP = 327 / 516 (truth == 1) & (prediction >= threshold)
FP = 40 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,533 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.69 ::::
accuracy = 0.89 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.74 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus350_hl3_time1524226767
$$$ hidden_units = 400 hidden_layers = 3 $$$
completion: 4% (epoch=8)(element=6266) loss = 0.001 error progress = 2.58253%
completion: 8% (epoch=16)(element=6266) loss = 0 error progress = 2.37891%
completion: 12% (epoch=24)(element=6266) loss = 0.002 error progress = 2.27005%
completion: 16% (epoch=32)(element=6266) loss = 0.001 error progress = 2.19851%
completion: 20% (epoch=40)(element=6266) loss = 0.002 error progress = 2.14842%
completion: 24% (epoch=48)(element=6266) loss = 0.001 error progress = 2.10132%
completion: 28% (epoch=56)(element=6266) loss = 0 error progress = 2.06164%
completion: 32% (epoch=64)(element=6266) loss = 0.001 error progress = 2.02872%
completion: 36% (epoch=72)(element=6266) loss = 0.001 error progress = 2.00079%
completion: 40% (epoch=80)(element=6266) loss = 0 error progress = 1.97616%
completion: 44% (epoch=88)(element=6266) loss = 0.001 error progress = 1.95477%
completion: 48% (epoch=96)(element=6266) loss = 0 error progress = 1.93348%
completion: 52% (epoch=104)(element=6266) loss = 0.001 error progress = 1.91536%
completion: 56% (epoch=112)(element=6266) loss = 0.001 error progress = 1.89776%
completion: 60% (epoch=120)(element=6266) loss = 0.001 error progress = 1.88156%
completion: 64% (epoch=128)(element=6266) loss = 0 error progress = 1.86777%
completion: 68% (epoch=136)(element=6266) loss = 0.001 error progress = 1.85382%
completion: 72% (epoch=144)(element=6266) loss = 0 error progress = 1.84115%
completion: 76% (epoch=152)(element=6266) loss = 0.001 error progress = 1.82859%
completion: 80% (epoch=160)(element=6266) loss = 0.001 error progress = 1.81797%
completion: 84% (epoch=168)(element=6266) loss = 0.001 error progress = 1.80715%
completion: 88% (epoch=176)(element=6266) loss = 0.001 error progress = 1.79651%
completion: 92% (epoch=184)(element=6266) loss = 0.001 error progress = 1.78654%
completion: 96% (epoch=192)(element=6266) loss = 0 error progress = 1.77654%
completion: 100% (epoch=200)(element=6266) loss = 0 error progress = 1.76652%
### executeTest(perceptron, validation_patient_profile)
Correct predictions = 88.22%
#FPplusFN=2089
minError=209 minErrorIndex=1 globalThreshold =-1.0057897433659
metrics area_roc = 92.57%
(beta) metrics area_precision_recall = 70.77%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 230 / 516 (truth == 1) & (prediction < threshold)
TP = 286 / 516 (truth == 1) & (prediction >= threshold)
FP = 16 / 1,573 (truth == 0) & (prediction >= threshold)
TN = 1,557 / 1,573 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.67 ::::
accuracy = 0.88 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.7 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
Saved model file: ./models/model_hus400_hl3_time1524233295
@ @ [1] AUPR = 45.75% MCC = 0.19 F1_score = 0.18 AUROC = 80.68% hidden units = 5 hidden layers = 1 @ @
@ @ [2] AUPR = 59.63% MCC = 0.42 F1_score = 0.42 AUROC = 86.8% hidden units = 10 hidden layers = 1 @ @
@ @ [3] AUPR = 68.25% MCC = 0.57 F1_score = 0.61 AUROC = 90.5% hidden units = 25 hidden layers = 1 @ @
@ @ [4] AUPR = 71.15% MCC = 0.56 F1_score = 0.57 AUROC = 90.33% hidden units = 50 hidden layers = 1 @ @
@ @ [5] AUPR = 70.74% MCC = 0.59 F1_score = 0.62 AUROC = 91.81% hidden units = 75 hidden layers = 1 @ @
@ @ [6] AUPR = 71.96% MCC = 0.61 F1_score = 0.64 AUROC = 92.29% hidden units = 100 hidden layers = 1 @ @
@ @ [7] AUPR = 73.07% MCC = 0.64 F1_score = 0.68 AUROC = 92.3% hidden units = 125 hidden layers = 1 @ @
@ @ [8] AUPR = 71.46% MCC = 0.63 F1_score = 0.67 AUROC = 91.71% hidden units = 150 hidden layers = 1 @ @
@ @ [9] AUPR = 72.82% MCC = 0.69 F1_score = 0.74 AUROC = 91.63% hidden units = 175 hidden layers = 1 @ @
@ @ [10] AUPR = 72.51% MCC = 0.65 F1_score = 0.69 AUROC = 91.85% hidden units = 200 hidden layers = 1 @ @
@ @ [11] AUPR = 71.79% MCC = 0.65 F1_score = 0.68 AUROC = 92.31% hidden units = 225 hidden layers = 1 @ @
@ @ [12] AUPR = 72.9% MCC = 0.64 F1_score = 0.69 AUROC = 92.48% hidden units = 250 hidden layers = 1 @ @
@ @ [13] AUPR = 72.42% MCC = 0.67 F1_score = 0.71 AUROC = 91.57% hidden units = 275 hidden layers = 1 @ @
@ @ [14] AUPR = 70.38% MCC = 0.67 F1_score = 0.73 AUROC = 91.7% hidden units = 300 hidden layers = 1 @ @
@ @ [15] AUPR = 74.07% MCC = 0.69 F1_score = 0.73 AUROC = 92.47% hidden units = 350 hidden layers = 1 @ @
@ @ [16] AUPR = 73.04% MCC = 0.62 F1_score = 0.66 AUROC = 92.8% hidden units = 400 hidden layers = 1 @ @
@ @ [17] AUPR = 37.68% MCC = 0.1 F1_score = 0.09 AUROC = 79.37% hidden units = 5 hidden layers = 2 @ @
@ @ [18] AUPR = 53.44% MCC = 0.3 F1_score = 0.3 AUROC = 85.53% hidden units = 10 hidden layers = 2 @ @
@ @ [19] AUPR = 66% MCC = 0.54 F1_score = 0.58 AUROC = 90.66% hidden units = 25 hidden layers = 2 @ @
@ @ [20] AUPR = 67.74% MCC = 0.58 F1_score = 0.63 AUROC = 90.04% hidden units = 50 hidden layers = 2 @ @
@ @ [21] AUPR = 71.23% MCC = 0.66 F1_score = 0.71 AUROC = 91.51% hidden units = 75 hidden layers = 2 @ @
@ @ [22] AUPR = 72.82% MCC = 0.66 F1_score = 0.7 AUROC = 91.84% hidden units = 100 hidden layers = 2 @ @
@ @ [23] AUPR = 73.75% MCC = 0.67 F1_score = 0.71 AUROC = 91.3% hidden units = 125 hidden layers = 2 @ @
@ @ [24] AUPR = 70.75% MCC = 0.67 F1_score = 0.71 AUROC = 91.69% hidden units = 150 hidden layers = 2 @ @
@ @ [25] AUPR = 71.77% MCC = 0.67 F1_score = 0.72 AUROC = 92.74% hidden units = 175 hidden layers = 2 @ @
@ @ [26] AUPR = 70.8% MCC = 0.65 F1_score = 0.7 AUROC = 91.97% hidden units = 200 hidden layers = 2 @ @
@ @ [27] AUPR = 70.5% MCC = 0.66 F1_score = 0.71 AUROC = 92.12% hidden units = 225 hidden layers = 2 @ @
@ @ [28] AUPR = 72.82% MCC = 0.68 F1_score = 0.73 AUROC = 92.34% hidden units = 250 hidden layers = 2 @ @
@ @ [29] AUPR = 73.73% MCC = 0.68 F1_score = 0.72 AUROC = 92.52% hidden units = 275 hidden layers = 2 @ @
@ @ [30] AUPR = 72.34% MCC = 0.67 F1_score = 0.72 AUROC = 91.81% hidden units = 300 hidden layers = 2 @ @
@ @ [31] AUPR = 72.75% MCC = 0.68 F1_score = 0.72 AUROC = 91.88% hidden units = 350 hidden layers = 2 @ @
@ @ [32] AUPR = 72.99% MCC = 0.69 F1_score = 0.73 AUROC = 92.56% hidden units = 400 hidden layers = 2 @ @
@ @ [33] AUPR = 32.52% MCC = -2 F1_score = 0 AUROC = 73.18% hidden units = 5 hidden layers = 3 @ @
@ @ [34] AUPR = 31.02% MCC = 0.21 F1_score = 0.23 AUROC = 83.18% hidden units = 10 hidden layers = 3 @ @
@ @ [35] AUPR = 55.83% MCC = 0.45 F1_score = 0.52 AUROC = 87.93% hidden units = 25 hidden layers = 3 @ @
@ @ [36] AUPR = 67.48% MCC = 0.6 F1_score = 0.64 AUROC = 91.02% hidden units = 50 hidden layers = 3 @ @
@ @ [37] AUPR = 69.84% MCC = 0.61 F1_score = 0.65 AUROC = 91.8% hidden units = 75 hidden layers = 3 @ @
@ @ [38] AUPR = 67.34% MCC = 0.63 F1_score = 0.67 AUROC = 91.1% hidden units = 100 hidden layers = 3 @ @
@ @ [39] AUPR = 73.25% MCC = 0.61 F1_score = 0.63 AUROC = 91.66% hidden units = 125 hidden layers = 3 @ @
@ @ [40] AUPR = 72.2% MCC = 0.63 F1_score = 0.67 AUROC = 91.58% hidden units = 150 hidden layers = 3 @ @
@ @ [41] AUPR = 71.16% MCC = 0.68 F1_score = 0.72 AUROC = 92.01% hidden units = 175 hidden layers = 3 @ @
@ @ [42] AUPR = 73.52% MCC = 0.67 F1_score = 0.71 AUROC = 91.64% hidden units = 200 hidden layers = 3 @ @
@ @ [43] AUPR = 73.25% MCC = 0.66 F1_score = 0.7 AUROC = 92.04% hidden units = 225 hidden layers = 3 @ @
@ @ [44] AUPR = 73.66% MCC = 0.66 F1_score = 0.71 AUROC = 91.77% hidden units = 250 hidden layers = 3 @ @
@ @ [45] AUPR = 72.74% MCC = 0.68 F1_score = 0.72 AUROC = 91.36% hidden units = 275 hidden layers = 3 @ @
@ @ [46] AUPR = 72.67% MCC = 0.66 F1_score = 0.7 AUROC = 91.84% hidden units = 300 hidden layers = 3 @ @
@ @ [47] AUPR = 72.82% MCC = 0.69 F1_score = 0.74 AUROC = 92% hidden units = 350 hidden layers = 3 @ @
@ @ [48] AUPR = 70.77% MCC = 0.67 F1_score = 0.7 AUROC = 92.57% hidden units = 400 hidden layers = 3 @ @
modelFileVect[9]
modelFileToLoad =./models/model_hus175_hl1_time1524155297
### executeTest(loadedModel, test_patient_profile)
Correct predictions = 90.09%
#FPplusFN=2088
minError=176 minErrorIndex=1 globalThreshold =-1.3430681406412
metrics area_roc = 94.92%
(beta) metrics area_precision_recall = 74.96%
duration the new area_roc metrics ROC_AUC_computer function: 0 seconds
duration the new area_roc metrics ROC_AUC_computer function: 00 days, 00 hours, 00 minutes, 00 seconds
TOTAL:
FN = 174 / 535 (truth == 1) & (prediction < threshold)
TP = 361 / 535 (truth == 1) & (prediction >= threshold)
FP = 33 / 1,553 (truth == 0) & (prediction >= threshold)
TN = 1,520 / 1,553 (truth == 0) & (prediction < threshold)
:::: Matthews correlation coefficient = +0.73 ::::
accuracy = 0.9 = (tp + tn) / (tp + tn +fn + fp) [worst = -1, best = +1]
f1_score = 0.78 = (2*tp) / (2*tp+fp+fn) [worst = 0, best = 1]
':':':':' lastMCC = 0.73 lastF1score = 0.78 ':':':':'
command: rm ./models/model_hus5_hl1_time1524153423
command: rm ./models/model_hus10_hl1_time1524153571
command: rm ./models/model_hus25_hl1_time1524153721
command: rm ./models/model_hus50_hl1_time1524153896
command: rm ./models/model_hus75_hl1_time1524154094
command: rm ./models/model_hus100_hl1_time1524154327
command: rm ./models/model_hus125_hl1_time1524154603
command: rm ./models/model_hus150_hl1_time1524154923
command: rm ./models/model_hus175_hl1_time1524155297
command: rm ./models/model_hus200_hl1_time1524155731
command: rm ./models/model_hus225_hl1_time1524156220
command: rm ./models/model_hus250_hl1_time1524156784
command: rm ./models/model_hus275_hl1_time1524157430
command: rm ./models/model_hus300_hl1_time1524158162
command: rm ./models/model_hus350_hl1_time1524162019
command: rm ./models/model_hus400_hl1_time1524166175
command: rm ./models/model_hus5_hl2_time1524166354
command: rm ./models/model_hus10_hl2_time1524166548
command: rm ./models/model_hus25_hl2_time1524166760
command: rm ./models/model_hus50_hl2_time1524166998
command: rm ./models/model_hus75_hl2_time1524167280
command: rm ./models/model_hus100_hl2_time1524167624
command: rm ./models/model_hus125_hl2_time1524168035
command: rm ./models/model_hus150_hl2_time1524168533
command: rm ./models/model_hus175_hl2_time1524169125
command: rm ./models/model_hus200_hl2_time1524169829
command: rm ./models/model_hus225_hl2_time1524173622
command: rm ./models/model_hus250_hl2_time1524177615
command: rm ./models/model_hus275_hl2_time1524181728
command: rm ./models/model_hus300_hl2_time1524186008
command: rm ./models/model_hus350_hl2_time1524190637
command: rm ./models/model_hus400_hl2_time1524195551
command: rm ./models/model_hus5_hl3_time1524195783
command: rm ./models/model_hus10_hl3_time1524196020
command: rm ./models/model_hus25_hl3_time1524196270
command: rm ./models/model_hus50_hl3_time1524196569
command: rm ./models/model_hus75_hl3_time1524196935
command: rm ./models/model_hus100_hl3_time1524197379
command: rm ./models/model_hus125_hl3_time1524197925
command: rm ./models/model_hus150_hl3_time1524198595
command: rm ./models/model_hus175_hl3_time1524199413
command: rm ./models/model_hus200_hl3_time1524203417
command: rm ./models/model_hus225_hl3_time1524207668
command: rm ./models/model_hus250_hl3_time1524211974
command: rm ./models/model_hus275_hl3_time1524216601
command: rm ./models/model_hus300_hl3_time1524221343
command: rm ./models/model_hus350_hl3_time1524226767
command: rm ./models/model_hus400_hl3_time1524233295
duration complete execution: 80,013 seconds
duration complete execution: 00 days, 22 hours, 13 minutes, 33 seconds