Table 15 FS vs. FE for multiclass classification with 47 features
Models | Accuracy (%) | Precision (%) | Re-call (%) | F1-score (%) | MCC | FS (s) | Training (s) | Inference (ms) |
|---|---|---|---|---|---|---|---|---|
Feature selection | ||||||||
 DT | 77.25 | 72.18 | 48.18 | 45.00 | 0.5524 | 5.47 | 3.47 | 12.93 |
 RF | 77.14 | 61.21 | 45.24 | 40.45 | 0.3606 | 25.02 | 922.89 | |
 kNN | 51.86 | 41.04 | 31.09 | 29.50 | 0.5271 | 1.23 | 200,249.55 | |
 NB | 55.84 | 37.60 | 63.32 | 41.57 | 0.2498 | 1.92 | 169.6 | |
 MLP | 77.43 | 66.47 | 46.00 | 41.50 | 0.5638 | 180.86 | 135.3 | |
Feature extraction | ||||||||
 DT | 65.35 | 50.12 | 37.58 | 32.36 | 0.4156 | 5.01 | 7.85 | 12.35 |
 RF | 76.65 | 52.36 | 44.17 | 39.43 | 0.5626 | 35.90 | 719.71 | |
 kNN | 67.51 | 55.02 | 39.23 | 33.82 | 0.4694 | 0.44 | 143,359 | |
 NB | 32.40 | 36.20 | 56.10 | 31.93 | 0.3050 | 0.64 | 210.78 | |
 MLP | 77.46 | 68.08 | 46.02 | 41.51 | 0.5795 | 90.35 | 103.62 | |