Algorithms | Accuracy | Positive | Negative | ||||
Precision | Recall | F1-score | Precision | Recall | F1-score | ||
LinearSVC | 0.8816 | 0.8805 | 0.8825 | 0.8815 | 0.8824 | 0.8801 | 0.8813 |
LogisticRegression | 0.8809 | 0.8791 | 0.8832 | 0.881 | 0.8828 | 0.8782 | 0.8804 |
Multinomial NB | 0.8796 | 0.8821 | 0.876 | 0.879 | 0.8767 | 0.8832 | 0.8799 |
KNN | 0.8201 | 0.8071 | 0.8404 | 0.8234 | 0.8336 | 0.7991 | 0.8159 |
DecisionTree | 0.7994 | 0.8169 | 0.7711 | 0.7933 | 0.7833 | 0.8272 | 0.8046 |
RandomForest | 0.8137 | 0.8662 | 0.742 | 0.7992 | 0.7739 | 0.885 | 0.8256 |
AdaBoost | 0.7719 | 0.7973 | 0.7989 | 0.7654 | 0.8253 | 0.7594 | 0.7666 |