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stress_at_work_analysis
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Remove and ignore results.

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junos 2023-05-16 16:22:29 +02:00
parent 0f8f0b0fb6
commit 7b5db88f1d
3 changed files with 1 additions and 58 deletions
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1
.gitignore vendored
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@ -16,6 +16,7 @@ __pycache__/
/data/30min*
/presentation/*scores.csv
/presentation/Results.ods
/presentation/results/
.Rproj.user
.Rhistory
/presentation/*.nb.html

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presentation/event_stressful_detection_5fold.csv
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@ -1,29 +0,0 @@
method,metric,max,mean
Dummy,test_accuracy,0.8557046979865772,0.8548446932649828
Dummy,test_average_precision,0.1457286432160804,0.14515530673501736
Dummy,test_recall,0.0,0.0
Dummy,test_f1,0.0,0.0
logistic_reg,test_accuracy,0.8640939597315436,0.8504895843872606
logistic_reg,test_average_precision,0.44363425265068757,0.37511495347389834
logistic_reg,test_recall,0.3023255813953488,0.24266238973536486
logistic_reg,test_f1,0.3909774436090226,0.318943511424051
svc,test_accuracy,0.8557046979865772,0.8548446932649828
svc,test_average_precision,0.44514416839823046,0.4068200938341621
svc,test_recall,0.0,0.0
svc,test_f1,0.0,0.0
gaussian_naive_bayes,test_accuracy,0.7684563758389261,0.7479123806954234
gaussian_naive_bayes,test_average_precision,0.2534828030085334,0.23379392278901853
gaussian_naive_bayes,test_recall,0.42528735632183906,0.3924619085805935
gaussian_naive_bayes,test_f1,0.34285714285714286,0.3107236284017699
stochastic_gradient_descent,test_accuracy,0.8576214405360134,0.7773610783222601
stochastic_gradient_descent,test_average_precision,0.3813093757959869,0.3617503752215592
stochastic_gradient_descent,test_recall,0.686046511627907,0.2822507350975675
stochastic_gradient_descent,test_f1,0.3652173913043478,0.21849107443075583
random_forest,test_accuracy,0.9110738255033557,0.9011129472867694
random_forest,test_average_precision,0.6998372262021191,0.6619275281099584
random_forest,test_recall,0.4069767441860465,0.35356856455493185
random_forest,test_f1,0.5691056910569107,0.5078402513053142
xgboost,test_accuracy,0.9128978224455612,0.9007711937764886
xgboost,test_average_precision,0.7366643049075349,0.698622165966308
xgboost,test_recall,0.5287356321839081,0.44346431435445066
xgboost,test_f1,0.638888888888889,0.5633957169928393
1 method metric max mean
2 Dummy test_accuracy 0.8557046979865772 0.8548446932649828
3 Dummy test_average_precision 0.1457286432160804 0.14515530673501736
4 Dummy test_recall 0.0 0.0
5 Dummy test_f1 0.0 0.0
6 logistic_reg test_accuracy 0.8640939597315436 0.8504895843872606
7 logistic_reg test_average_precision 0.44363425265068757 0.37511495347389834
8 logistic_reg test_recall 0.3023255813953488 0.24266238973536486
9 logistic_reg test_f1 0.3909774436090226 0.318943511424051
10 svc test_accuracy 0.8557046979865772 0.8548446932649828
11 svc test_average_precision 0.44514416839823046 0.4068200938341621
12 svc test_recall 0.0 0.0
13 svc test_f1 0.0 0.0
14 gaussian_naive_bayes test_accuracy 0.7684563758389261 0.7479123806954234
15 gaussian_naive_bayes test_average_precision 0.2534828030085334 0.23379392278901853
16 gaussian_naive_bayes test_recall 0.42528735632183906 0.3924619085805935
17 gaussian_naive_bayes test_f1 0.34285714285714286 0.3107236284017699
18 stochastic_gradient_descent test_accuracy 0.8576214405360134 0.7773610783222601
19 stochastic_gradient_descent test_average_precision 0.3813093757959869 0.3617503752215592
20 stochastic_gradient_descent test_recall 0.686046511627907 0.2822507350975675
21 stochastic_gradient_descent test_f1 0.3652173913043478 0.21849107443075583
22 random_forest test_accuracy 0.9110738255033557 0.9011129472867694
23 random_forest test_average_precision 0.6998372262021191 0.6619275281099584
24 random_forest test_recall 0.4069767441860465 0.35356856455493185
25 random_forest test_f1 0.5691056910569107 0.5078402513053142
26 xgboost test_accuracy 0.9128978224455612 0.9007711937764886
27 xgboost test_average_precision 0.7366643049075349 0.698622165966308
28 xgboost test_recall 0.5287356321839081 0.44346431435445066
29 xgboost test_f1 0.638888888888889 0.5633957169928393

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presentation/event_stressful_detection_logo.csv
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@ -1,29 +0,0 @@
method,metric,max,mean
Dummy,test_accuracy,1.0,0.8524114578096439
Dummy,test_average_precision,0.7,0.14758854219035614
Dummy,test_recall,0.0,0.0
Dummy,test_f1,0.0,0.0
logistic_reg,test_accuracy,0.9824561403508771,0.8445351955631311
logistic_reg,test_average_precision,1.0,0.44605167668563583
logistic_reg,test_recall,1.0,0.25353566685532386
logistic_reg,test_f1,0.823529411764706,0.27951926390778625
svc,test_accuracy,1.0,0.8524114578096439
svc,test_average_precision,0.9612401707068228,0.44179454944271934
svc,test_recall,0.0,0.0
svc,test_f1,0.0,0.0
gaussian_naive_bayes,test_accuracy,0.9,0.7491301746887129
gaussian_naive_bayes,test_average_precision,0.9189430193277607,0.2833170327386991
gaussian_naive_bayes,test_recall,1.0,0.3743761174081108
gaussian_naive_bayes,test_f1,0.7000000000000001,0.2698456659235668
stochastic_gradient_descent,test_accuracy,1.0,0.7926428596764739
stochastic_gradient_descent,test_average_precision,1.0,0.4421948838597582
stochastic_gradient_descent,test_recall,1.0,0.30156420704502945
stochastic_gradient_descent,test_f1,0.8148148148148148,0.24088393234361388
random_forest,test_accuracy,1.0,0.8722158105763481
random_forest,test_average_precision,1.0,0.49817066323226833
random_forest,test_recall,1.0,0.18161263127840668
random_forest,test_f1,1.0,0.2508096532365307
xgboost,test_accuracy,1.0,0.8812627400277729
xgboost,test_average_precision,1.0,0.5505695112208401
xgboost,test_recall,1.0,0.2896161238315027
xgboost,test_f1,0.9411764705882353,0.36887408735855665
1 method metric max mean
2 Dummy test_accuracy 1.0 0.8524114578096439
3 Dummy test_average_precision 0.7 0.14758854219035614
4 Dummy test_recall 0.0 0.0
5 Dummy test_f1 0.0 0.0
6 logistic_reg test_accuracy 0.9824561403508771 0.8445351955631311
7 logistic_reg test_average_precision 1.0 0.44605167668563583
8 logistic_reg test_recall 1.0 0.25353566685532386
9 logistic_reg test_f1 0.823529411764706 0.27951926390778625
10 svc test_accuracy 1.0 0.8524114578096439
11 svc test_average_precision 0.9612401707068228 0.44179454944271934
12 svc test_recall 0.0 0.0
13 svc test_f1 0.0 0.0
14 gaussian_naive_bayes test_accuracy 0.9 0.7491301746887129
15 gaussian_naive_bayes test_average_precision 0.9189430193277607 0.2833170327386991
16 gaussian_naive_bayes test_recall 1.0 0.3743761174081108
17 gaussian_naive_bayes test_f1 0.7000000000000001 0.2698456659235668
18 stochastic_gradient_descent test_accuracy 1.0 0.7926428596764739
19 stochastic_gradient_descent test_average_precision 1.0 0.4421948838597582
20 stochastic_gradient_descent test_recall 1.0 0.30156420704502945
21 stochastic_gradient_descent test_f1 0.8148148148148148 0.24088393234361388
22 random_forest test_accuracy 1.0 0.8722158105763481
23 random_forest test_average_precision 1.0 0.49817066323226833
24 random_forest test_recall 1.0 0.18161263127840668
25 random_forest test_f1 1.0 0.2508096532365307
26 xgboost test_accuracy 1.0 0.8812627400277729
27 xgboost test_average_precision 1.0 0.5505695112208401
28 xgboost test_recall 1.0 0.2896161238315027
29 xgboost test_f1 0.9411764705882353 0.36887408735855665