From 7b5db88f1da87468f06e944bffb6ee23c3ea88d9 Mon Sep 17 00:00:00 2001
From: junos <junos.lukan@ijs.si>
Date: Tue, 16 May 2023 16:22:29 +0200
Subject: [PATCH] Remove and ignore results.

---
 .gitignore                                    |  1 +
 .../event_stressful_detection_5fold.csv       | 29 -------------------
 .../event_stressful_detection_logo.csv        | 29 -------------------
 3 files changed, 1 insertion(+), 58 deletions(-)
 delete mode 100644 presentation/event_stressful_detection_5fold.csv
 delete mode 100644 presentation/event_stressful_detection_logo.csv

diff --git a/.gitignore b/.gitignore
index 6f3bfb3..c9aa8a0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -16,6 +16,7 @@ __pycache__/
 /data/30min*
 /presentation/*scores.csv
 /presentation/Results.ods
+/presentation/results/
 .Rproj.user
 .Rhistory
 /presentation/*.nb.html
diff --git a/presentation/event_stressful_detection_5fold.csv b/presentation/event_stressful_detection_5fold.csv
deleted file mode 100644
index d005efe..0000000
--- a/presentation/event_stressful_detection_5fold.csv
+++ /dev/null
@@ -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
diff --git a/presentation/event_stressful_detection_logo.csv b/presentation/event_stressful_detection_logo.csv
deleted file mode 100644
index 6874e7f..0000000
--- a/presentation/event_stressful_detection_logo.csv
+++ /dev/null
@@ -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