Table 5.
(8) eight features classification model report without forward and backward feature techniques.
| Statistical analysis | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | MCC (%) | AUC_ROC (%) | AUC_PR (%) |
|---|---|---|---|---|---|---|---|
| Decision slump | 70.00 | 55.67 | 60.67 | 58.06 | 34.29 | 67.46 | 59.42 |
| J48 | 73.83 | 62.50 | 61.80 | 62.15 | 42.15 | 71.02 | 64.47 |
| CART | 69.53 | 56.47 | 53.93 | 55.17 | 32.13 | 65.89 | 61.31 |
| RF | 75.79 | 64.21 | 68.54 | 66.30 | 47.49 | 74.09 | 71.38 |
| XG boost | 73.05 | 62.50 | 56.18 | 59.17 | 39.26 | 69.11 | 63.38 |
| ADA Boostingm1 | 75.79 | 64.21 | 68.54 | 66.30 | 47.49 | 74.09 | 71.38 |
| Gradient boosting | 76.79 | 66.21 | 68.54 | 66.30 | 57.49 | 78.09 | 75.38 |