Table 5.
Model | ACC | M_P | M_R | M_F1 | K_Score |
---|---|---|---|---|---|
7 features |
0.7501 |
0.6705 |
0.6732 |
0.6691 |
0.5821 |
9 features |
0.7527 |
0.6724 |
0.6754 |
0.6698 |
0.5841 |
16 features | 0.7448 | 0.6570 | 0.6592 | 0.6511 | 0.5686 |
ACC – accuracy, M_P – macro precision, M_R – macro recall, M_F1 – macro F1-score, K_Score – kappa-coefficient