| Classifier | Parameters | Training time (Sec./Fold 1) | Testing time (Sec./Sample) | Accuracy (%) | Precision (%) | Recall (%) | F-Score (%) |
| SVC | Kernel = Radial Basis Function C = 11 Degree = 3 | 1 m 20 s | 5 m | 90.17 | 93 | 90 | 89 |
| XGB | Learning_rate = 0.01 No. of trees = 25 Max_depth = 15 | 17 m 32 s | 10 m18 s | 91.5 | 92 | 92 | 91 |
| KNN | N_neighbors = 1 Algorithm = “Auto” Leaf_size = 30 Weights = “distance” | 2 m 4 s | 6 s | 98.68 | 99 | 99 | 99 |
| Extra Trees | No. of trees = 100 Criterion = gini Max_depth = 2 Min_samples_split = 2 | 1 m 6 s | 3 s | 99.54 | 100 | 100 | 100 |