Table 1:
Classifier | Model | Precision | Recall | F-Score |
---|---|---|---|---|
T (3 labels) | SVM | 0.77 | 0.79 | 0.77 |
Decision Trees | 0.76 | 0.75 | 0.76 | |
Gradient Boosting | 0.80 | 0.81 | 0.80 | |
T (7 labels) | SVM | 0.61 | 0.64 | 0.61 |
Decision Trees | 0.63 | 0.62 | 0.62 | |
Gradient Boosting | 0.71 | 0.71 | 0.71 | |
N (2 labels) | SVM | 0.98 | 0.98 | 0.97 |
Gradient Boosting | 0.99 | 0.98 | 0.98 | |
M (2 labels) | SVM | 0. 99 | 0. 99 | 0. 99 |
Gradient Boosting | 0.99 | 0. 99 | 0. 99 |