Table 2.
Overall performance of the optimal classifiers.
| Classification algorithm | Number of features | ACC | MCC | Macro F1 | Weighted F1 |
|---|---|---|---|---|---|
| k-nearest neighbor | 10 | 0.784 | 0.730 | 0.793 | 0.790 |
| Random forest | 35 | 0.893 | 0.842 | 0.873 | 0.895 |
| Support vector machine | 1,025 | 0.920 | 0.881 | 0.926 | 0.921 |
| Decision tree | 590 | 0.771 | 0.686 | 0.749 | 0.780 |