configured combination .txt file

results/Combination Test.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: 0.8104575163398693
+Performing fit of best model with params: C - 10; Kernel - rbf; Gamma - auto on full data set...
+Seed 7 - Split Variant 0 - Accuracy: 0.8104575163398693 - F1: 0.8929889298892989 - Recall: 0.9918032786885246 - MCC: 0.22313151537444834
+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: 0.8169934640522876
+Performing fit of best model with params: C - 100; Kernel - poly; Gamma - scale on full data set...
+Seed 7 - Split Variant 0 - Accuracy: 0.8169934640522876 - F1: 0.2222222222222222 - Recall: 0.26666666666666666 - MCC: 0.12398657510978121
+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: 0.8823529411764706
+Performing fit of best model with params: C - 0.1; Kernel - poly; Gamma - scale on full data set...
+Seed 7 - Split Variant 0 - Accuracy: 0.8823529411764706 - F1: 0.3076923076923077 - Recall: 0.23529411764705882 - MCC: 0.2651650429449553
+
+Total Acc: 0.8139381985535832 - Bad: 0.8132807363576594 - Good: 0.9322813938198553 - Expert: 0.9441157133464826
+
+percent of bad labels: 0.7975016436554898
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