Table 4 Comprehensive classification results for proposed models
Model | Extra Trees | CatBoost | Random Forest | Gradient Boosting |
|---|---|---|---|---|
CVA (%) | 89.52 | 89.52 | 89.76 | 89.05 |
Precision (%) | 89.56 | 89.33 | 89.74 | 89.11 |
Recall (%) | 89.52 | 89.29 | 89.76 | 89.05 |
F1-score | 89.49 | 89.31 | 89.74 | 89.08 |
Kappa | 0.84244 | 0.79155 | 0.83525 | 0.81382 |
MCC | 0.84322 | 0.79363 | 0.83533 | 0.81385 |
Zero-one loss | 0.10476 | 0.13810 | 0.10952 | 0.12381 |
Hamming loss | 0.10476 | 0.13810 | 0.10952 | 0.12381 |
Mean | 89.52 | 89.37 | 89.75 | 89.02 |
Variance | 0.00015 | 0.00067 | 0.00031 | 0.00029 |