Loading data: 2-balanced Features Generation: count_ng1 Training: Logistic Regression Testing tp: 81.0 fp: 0.0 fn: 1.0 tp: 82.0 fp: 1.0 fn: 0.0 f1 = 0.994 wacc = 0.994 tacc = 0.994 Features Generation: count_ng2 Training: Logistic Regression Testing tp: 82.0 fp: 0.0 fn: 0.0 tp: 82.0 fp: 0.0 fn: 0.0 f1 = 1.000 wacc = 1.000 tacc = 1.000 Features Generation: count_ng3 Training: Logistic Regression Testing tp: 82.0 fp: 0.0 fn: 0.0 tp: 82.0 fp: 0.0 fn: 0.0 f1 = 1.000 wacc = 1.000 tacc = 1.000 Features Generation: tfidf_ng1 Training: Logistic Regression Testing tp: 70.0 fp: 4.0 fn: 12.0 tp: 78.0 fp: 12.0 fn: 4.0 f1 = 0.902 wacc = 0.902 tacc = 0.902 Features Generation: tfidf_ng2 Training: Logistic Regression Testing tp: 75.0 fp: 3.0 fn: 7.0 tp: 79.0 fp: 7.0 fn: 3.0 f1 = 0.939 wacc = 0.939 tacc = 0.939 Features Generation: tfidf_ng3 Training: Logistic Regression Testing tp: 77.0 fp: 3.0 fn: 5.0 tp: 79.0 fp: 5.0 fn: 3.0 f1 = 0.951 wacc = 0.951 tacc = 0.951 ------------------------------------------------------------ Loading data: 2-unbalanced Features Generation: count_ng1 Training: Logistic Regression Testing tp: 87.0 fp: 0.0 fn: 12.0 tp: 411.0 fp: 12.0 fn: 0.0 f1 = 0.976 wacc = 0.976 tacc = 0.976 Features Generation: count_ng2 Training: Logistic Regression Testing tp: 96.0 fp: 0.0 fn: 3.0 tp: 411.0 fp: 3.0 fn: 0.0 f1 = 0.994 wacc = 0.994 tacc = 0.994 Features Generation: count_ng3 Training: Logistic Regression Testing tp: 97.0 fp: 0.0 fn: 2.0 tp: 411.0 fp: 2.0 fn: 0.0 f1 = 0.996 wacc = 0.996 tacc = 0.996 Features Generation: tfidf_ng1 Training: Logistic Regression Testing tp: 35.0 fp: 0.0 fn: 64.0 tp: 411.0 fp: 64.0 fn: 0.0 f1 = 0.849 wacc = 0.875 tacc = 0.875 Features Generation: tfidf_ng2 Training: Logistic Regression Testing tp: 30.0 fp: 0.0 fn: 69.0 tp: 411.0 fp: 69.0 fn: 0.0 f1 = 0.834 wacc = 0.865 tacc = 0.865 Features Generation: tfidf_ng3 Training: Logistic Regression Testing tp: 23.0 fp: 0.0 fn: 76.0 tp: 411.0 fp: 76.0 fn: 0.0 f1 = 0.811 wacc = 0.851 tacc = 0.851 ============================================================ data 2-balanced feat_generator count_ng1 clf Logistic Regression f1 0.9939022123071204 acc 0.9939024390243902 tacc 0.9939024390243902 data 2-balanced feat_generator count_ng2 clf Logistic Regression f1 1.0 acc 1.0 tacc 1.0 data 2-balanced feat_generator count_ng3 clf Logistic Regression f1 1.0 acc 1.0 tacc 1.0 data 2-balanced feat_generator tfidf_ng1 clf Logistic Regression f1 0.902206320810972 acc 0.9024390243902438 tacc 0.9024390243902439 data 2-balanced feat_generator tfidf_ng2 clf Logistic Regression f1 0.9389880952380953 acc 0.9390243902439024 tacc 0.9390243902439024 data 2-balanced feat_generator tfidf_ng3 clf Logistic Regression f1 0.95121225643314 acc 0.9512195121951219 tacc 0.9512195121951219 data 2-unbalanced feat_generator count_ng1 clf Logistic Regression f1 0.9758808512961927 acc 0.9764705882352942 tacc 0.9764705882352941 data 2-unbalanced feat_generator count_ng2 clf Logistic Regression f1 0.9940830933772111 acc 0.9941176470588236 tacc 0.9941176470588236 data 2-unbalanced feat_generator count_ng3 clf Logistic Regression f1 0.9960631825545753 acc 0.996078431372549 tacc 0.996078431372549 data 2-unbalanced feat_generator tfidf_ng1 clf Logistic Regression f1 0.8490743731878385 acc 0.8745098039215686 tacc 0.8745098039215686 data 2-unbalanced feat_generator tfidf_ng2 clf Logistic Regression f1 0.8337612329404395 acc 0.8647058823529412 tacc 0.8647058823529412 data 2-unbalanced feat_generator tfidf_ng3 clf Logistic Regression f1 0.8108704009552997 acc 0.8509803921568627 tacc 0.8509803921568627