performed all tests, fixed permutation.

results/bad/feature selection.txt

+F1 score for field TotalDwellTime: 0.8884826325411335
+F1 score for field GazePointsAOI: 0.8884826325411335
+F1 score for field Instances: 0.8827838827838828
+F1 score for field AvTime: 0.8905109489051095
+F1 score for field AvPoints: 0.8905109489051095
+F1 score for field StDtime: 0.8888888888888888
+F1 score for field StDpoints: 0.8888888888888888
+Selected feature: AvTime with index 3
+F1 score for field TotalDwellTime: 0.8782287822878229
+F1 score for field GazePointsAOI: 0.8782287822878229
+F1 score for field Instances: 0.8798521256931608
+F1 score for field AvPoints: 0.8823529411764706
+F1 score for field StDtime: 0.8905109489051095
+F1 score for field StDpoints: 0.8905109489051095
+Selected feature: StDtime with index 4
+F1 score for field TotalDwellTime: 0.8782287822878229
+F1 score for field GazePointsAOI: 0.8782287822878229
+F1 score for field Instances: 0.8798521256931608
+F1 score for field AvPoints: 0.8823529411764706
+F1 score for field StDpoints: 0.8905109489051095
+Selected feature: StDpoints with index 4
+F1 score for field TotalDwellTime: 0.8802946593001841
+F1 score for field GazePointsAOI: 0.8802946593001841
+F1 score for field Instances: 0.8802946593001841
+F1 score for field AvPoints: 0.8802946593001841
+Selected feature: TotalDwellTime with index 0
+F1 score for field GazePointsAOI: 0.8761552680221811
+F1 score for field Instances: 0.8719851576994434
+F1 score for field AvPoints: 0.8782287822878229
+Selected feature: AvPoints with index 2
+F1 score for field GazePointsAOI: 0.8761552680221811
+F1 score for field Instances: 0.87569573283859
+Selected feature: GazePointsAOI with index 0
+F1 score for field Instances: 0.8736059479553904
+Selected feature: Instances with index 0
+
+picked_feats_record = ['AvTime', 'StDtime', 'StDpoints', 'TotalDwellTime', 'AvPoints', 'GazePointsAOI', 'Instances']
+f1_score_feature_selection = [0.8905109489051095, 0.8905109489051095, 0.8905109489051095, 0.8782287822878229, 0.8802946593001841, 0.8761552680221811, 0.8736059479553904]
\ No newline at end of file

results/bad/permutation.txt

+Searching for best clf in {'C': [0.1, 1, 10, 100], 'kernel': ['linear', 'poly', 'rbf', 'sigmoid'], 'gamma': ['auto', 'scale']} with 1521 datapoints with following features: ['AvTime', 'StDtime', 'StDpoints']
+Performing Grid Search...
+Fitting 5 folds for each of 32 candidates, totalling 160 fits
+Seed 7 - Split Variant 0 - Test m-Accuracy: 0.7973856209150327
+Performing fit of best model with params: C - 10; Kernel - linear; Gamma - auto on full data set...
+Seed 7 - Split Variant 0 - n-Accuracy: 0.7973856209150327
+
+Probability of null hypothesis: 0.001
\ No newline at end of file

results/expert/Output RNCV.txt

+Performing repeated nested cross validation with a data set of length 1521
+Seed 1 - Split Variant 0 - Test m-Accuracy: 0.869281045751634
+Seed 1 - Split Variant 0 - n-Accuracy: 0.869281045751634
+Seed 1 - Split Variant 1 - Test m-Accuracy: 0.8947368421052632
+Seed 1 - Split Variant 1 - n-Accuracy: 0.8947368421052632
+Seed 1 - Split Variant 2 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 2 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 3 - Test m-Accuracy: 0.9342105263157895
+Seed 1 - Split Variant 3 - n-Accuracy: 0.9342105263157895
+Seed 1 - Split Variant 4 - Test m-Accuracy: 0.8947368421052632
+Seed 1 - Split Variant 4 - n-Accuracy: 0.8947368421052632
+Seed 1 - Split Variant 5 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 5 - n-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 6 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 6 - n-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 7 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 7 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 8 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 8 - n-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 0 - Test m-Accuracy: 0.8954248366013072
+Seed 3 - Split Variant 0 - n-Accuracy: 0.8954248366013072
+Seed 3 - Split Variant 1 - Test m-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 1 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 2 - Test m-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 2 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 3 - Test m-Accuracy: 0.9144736842105263
+Seed 3 - Split Variant 3 - n-Accuracy: 0.9144736842105263
+Seed 3 - Split Variant 4 - Test m-Accuracy: 0.8947368421052632
+Seed 3 - Split Variant 4 - n-Accuracy: 0.8947368421052632
+Seed 3 - Split Variant 5 - Test m-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 5 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 6 - Test m-Accuracy: 0.875
+Seed 3 - Split Variant 6 - n-Accuracy: 0.875
+Seed 3 - Split Variant 7 - Test m-Accuracy: 0.9407894736842105
+Seed 3 - Split Variant 7 - n-Accuracy: 0.9407894736842105
+Seed 3 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 9 - Test m-Accuracy: 0.881578947368421
+Seed 3 - Split Variant 9 - n-Accuracy: 0.881578947368421
+Seed 7 - Split Variant 0 - Test m-Accuracy: 0.9215686274509803
+Seed 7 - Split Variant 0 - n-Accuracy: 0.9215686274509803
+Seed 7 - Split Variant 1 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 1 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 2 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 2 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 3 - Test m-Accuracy: 0.875
+Seed 7 - Split Variant 3 - n-Accuracy: 0.875
+Seed 7 - Split Variant 4 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 4 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 5 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 5 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 6 - Test m-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 6 - n-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 7 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 7 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 8 - Test m-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 8 - n-Accuracy: 0.8947368421052632
+Seed 7 - Split Variant 9 - Test m-Accuracy: 0.8881578947368421
+Seed 7 - Split Variant 9 - n-Accuracy: 0.8881578947368421
+Seed 9 - Split Variant 0 - Test m-Accuracy: 0.9215686274509803
+Seed 9 - Split Variant 0 - n-Accuracy: 0.9215686274509803
+Seed 9 - Split Variant 1 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 1 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 2 - Test m-Accuracy: 0.8947368421052632
+Seed 9 - Split Variant 2 - n-Accuracy: 0.8947368421052632
+Seed 9 - Split Variant 3 - Test m-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 3 - n-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 4 - Test m-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 4 - n-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 5 - Test m-Accuracy: 0.8881578947368421
+Seed 9 - Split Variant 5 - n-Accuracy: 0.8881578947368421
+Seed 9 - Split Variant 6 - Test m-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 6 - n-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 7 - Test m-Accuracy: 0.8881578947368421
+Seed 9 - Split Variant 7 - n-Accuracy: 0.8881578947368421
+Seed 9 - Split Variant 8 - Test m-Accuracy: 0.881578947368421
+Seed 9 - Split Variant 8 - n-Accuracy: 0.881578947368421
+Seed 9 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 9 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 0 - Test m-Accuracy: 0.9084967320261438
+Seed 42 - Split Variant 0 - n-Accuracy: 0.9084967320261438
+Seed 42 - Split Variant 1 - Test m-Accuracy: 0.875
+Seed 42 - Split Variant 1 - n-Accuracy: 0.875
+Seed 42 - Split Variant 2 - Test m-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 2 - n-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 3 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 3 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 4 - Test m-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 4 - n-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 5 - Test m-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 5 - n-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 6 - Test m-Accuracy: 0.8881578947368421
+Seed 42 - Split Variant 6 - n-Accuracy: 0.8881578947368421
+Seed 42 - Split Variant 7 - Test m-Accuracy: 0.8947368421052632
+Seed 42 - Split Variant 7 - n-Accuracy: 0.8947368421052632
+Seed 42 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 9 - Test m-Accuracy: 0.8881578947368421
+Seed 42 - Split Variant 9 - n-Accuracy: 0.8881578947368421
+Repeated Nested Cross-Validation Accuracy: 0.8999320605435157

results/expert/feature selection.txt

+F1 score for field TotalDwellTime: 0.0
+F1 score for field GazePointsAOI: 0.0
+F1 score for field Instances: 0.10256410256410256
+F1 score for field AvTime: 0.0
+F1 score for field AvPoints: 0.0
+F1 score for field StDtime: 0.0
+F1 score for field StDpoints: 0.0
+Selected feature: Instances with index 2
+F1 score for field TotalDwellTime: 0.22727272727272727
+F1 score for field GazePointsAOI: 0.22727272727272727
+F1 score for field AvTime: 0.2727272727272727
+F1 score for field AvPoints: 0.2727272727272727
+F1 score for field StDtime: 0.10526315789473684
+F1 score for field StDpoints: 0.05405405405405406
+Selected feature: AvTime with index 2
+F1 score for field TotalDwellTime: 0.2608695652173913
+F1 score for field GazePointsAOI: 0.2608695652173913
+F1 score for field AvPoints: 0.2608695652173913
+F1 score for field StDtime: 0.27906976744186046
+F1 score for field StDpoints: 0.23809523809523808
+Selected feature: StDtime with index 3
+F1 score for field TotalDwellTime: 0.3111111111111111
+F1 score for field GazePointsAOI: 0.3111111111111111
+F1 score for field AvPoints: 0.2608695652173913
+F1 score for field StDpoints: 0.24390243902439024
+Selected feature: TotalDwellTime with index 0
+F1 score for field GazePointsAOI: 0.2978723404255319
+F1 score for field AvPoints: 0.2978723404255319
+F1 score for field StDpoints: 0.2727272727272727
+Selected feature: GazePointsAOI with index 0
+F1 score for field AvPoints: 0.30434782608695654
+F1 score for field StDpoints: 0.2727272727272727
+Selected feature: AvPoints with index 0
+F1 score for field StDpoints: 0.26666666666666666
+Selected feature: StDpoints with index 0
+
+picked_feats_record = ['Instances', 'AvTime', 'StDtime', 'TotalDwellTime', 'GazePointsAOI', 'AvPoints', 'StDpoints']
+f1_score_feature_selection = [0.10256410256410256, 0.2727272727272727, 0.27906976744186046, 0.3111111111111111, 0.2978723404255319, 0.30434782608695654, 0.26666666666666666]
\ No newline at end of file

results/expert/permutation.txt

+Searching for best clf in {'C': [0.1, 1, 10, 100], 'kernel': ['linear', 'poly', 'rbf', 'sigmoid'], 'gamma': ['auto', 'scale']} with 1521 datapoints with following features: ['Instances', 'AvTime', 'StDtime', 'TotalDwellTime']
+Performing Grid Search...
+Fitting 5 folds for each of 32 candidates, totalling 160 fits
+Seed 7 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Performing fit of best model with params: C - 0.1; Kernel - linear; Gamma - auto on full data set...
+Seed 7 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+
+Probability of null hypothesis: 0.001
\ No newline at end of file

results/good/Output RNCV.txt

+Performing repeated nested cross validation with a data set of length 1521
+Seed 1 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Seed 1 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+Seed 1 - Split Variant 1 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 1 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 2 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 2 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 3 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 3 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 4 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 4 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 5 - Test m-Accuracy: 0.9144736842105263
+Seed 1 - Split Variant 5 - n-Accuracy: 0.9144736842105263
+Seed 1 - Split Variant 6 - Test m-Accuracy: 0.9144736842105263
+Seed 1 - Split Variant 6 - n-Accuracy: 0.9144736842105263
+Seed 1 - Split Variant 7 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 7 - n-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 1 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 1 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Seed 3 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+Seed 3 - Split Variant 1 - Test m-Accuracy: 0.9144736842105263
+Seed 3 - Split Variant 1 - n-Accuracy: 0.9144736842105263
+Seed 3 - Split Variant 2 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 2 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 3 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 3 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 4 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 4 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 5 - Test m-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 5 - n-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 6 - Test m-Accuracy: 0.9210526315789473
+Seed 3 - Split Variant 6 - n-Accuracy: 0.9210526315789473
+Seed 3 - Split Variant 7 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 7 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 3 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 3 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Seed 7 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+Seed 7 - Split Variant 1 - Test m-Accuracy: 0.9144736842105263
+Seed 7 - Split Variant 1 - n-Accuracy: 0.9144736842105263
+Seed 7 - Split Variant 2 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 2 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 3 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 3 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 4 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 4 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 5 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 5 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 6 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 6 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 7 - Test m-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 7 - n-Accuracy: 0.9078947368421053
+Seed 7 - Split Variant 8 - Test m-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 8 - n-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 7 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 9 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Seed 9 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+Seed 9 - Split Variant 1 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 1 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 2 - Test m-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 2 - n-Accuracy: 0.9144736842105263
+Seed 9 - Split Variant 3 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 3 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 4 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 4 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 5 - Test m-Accuracy: 0.9013157894736842
+Seed 9 - Split Variant 5 - n-Accuracy: 0.9013157894736842
+Seed 9 - Split Variant 6 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 6 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 7 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 7 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 9 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 9 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Seed 42 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+Seed 42 - Split Variant 1 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 1 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 2 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 2 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 3 - Test m-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 3 - n-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 4 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 4 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 5 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 5 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 6 - Test m-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 6 - n-Accuracy: 0.9144736842105263
+Seed 42 - Split Variant 7 - Test m-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 7 - n-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 8 - Test m-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 8 - n-Accuracy: 0.9078947368421053
+Seed 42 - Split Variant 9 - Test m-Accuracy: 0.9013157894736842
+Seed 42 - Split Variant 9 - n-Accuracy: 0.9013157894736842
+Repeated Nested Cross-Validation Accuracy: 0.907169762641899

results/good/feature selection.txt

+F1 score for field TotalDwellTime: 0.9428076256499134
+F1 score for field GazePointsAOI: 0.9428076256499134
+F1 score for field Instances: 0.9428076256499134
+F1 score for field AvTime: 0.9428076256499134
+F1 score for field AvPoints: 0.9428076256499134
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: TotalDwellTime with index 0
+F1 score for field GazePointsAOI: 0.9428076256499134
+F1 score for field Instances: 0.9428076256499134
+F1 score for field AvTime: 0.9428076256499134
+F1 score for field AvPoints: 0.9428076256499134
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: GazePointsAOI with index 0
+F1 score for field Instances: 0.9428076256499134
+F1 score for field AvTime: 0.9428076256499134
+F1 score for field AvPoints: 0.9428076256499134
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: Instances with index 0
+F1 score for field AvTime: 0.9428076256499134
+F1 score for field AvPoints: 0.9428076256499134
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: AvTime with index 0
+F1 score for field AvPoints: 0.9428076256499134
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: AvPoints with index 0
+F1 score for field StDtime: 0.9428076256499134
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: StDtime with index 0
+F1 score for field StDpoints: 0.9428076256499134
+Selected feature: StDpoints with index 0
+
+
+picked_feats_record = ['TotalDwellTime', 'GazePointsAOI', 'Instances', 'AvTime', 'AvPoints', 'StDtime', 'StDpoints']
+f1_score_feature_selection = [0.9428076256499134, 0.9428076256499134, 0.9428076256499134, 0.9428076256499134, 0.9428076256499134, 0.9428076256499134, 0.9428076256499134]
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results/good/permutation.txt

+Searching for best clf in {'C': [0.1, 1, 10, 100], 'kernel': ['linear', 'poly', 'rbf', 'sigmoid'], 'gamma': ['auto', 'scale']} with 1521 datapoints with following features: ['TotalDwellTime', 'GazePointsAOI', 'Instances', 'AvTime', 'AvPoints', 'StDtime', 'StDpoints']
+Performing Grid Search...
+Fitting 5 folds for each of 32 candidates, totalling 160 fits
+Seed 7 - Split Variant 0 - Test m-Accuracy: 0.9019607843137255
+Performing fit of best model with params: C - 1; Kernel - linear; Gamma - auto on full data set...
+Seed 7 - Split Variant 0 - n-Accuracy: 0.9019607843137255
+
+
+Probability of null hypothesis: 0.001
\ No newline at end of file