Research Article
AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease
Table 2
Single classifier evaluation comparison.
| Performance metrics | Naive Bayes | AltDTree | RF | RedEPTree | CART |
| TTBM (sec) | 4.56 | 60.18 | 2.11 | 10.25 | 52.24 | Accuracy (%) | 78.6 | 93.56 | 92.45 | 79.23 | 78.67 | MAE | 0.60 | 0.28 | 0.27 | 026 | 0.27 | RMSE | 0.83 | 0.41 | 0.42 | 0.42 | 0.56 | RAE | 120 | 67.71 | 77.87 | 79.12 | 68.91 | RRSE | 127.41 | 95.33 | 82.92 | 97.89 | 98.34 | F1-score | 0.3 | 0.85 | 0.84 | 0.83 | 0.81 |
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