AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease

Table 3

AdaBoost classifier.

Performance metrics	AB-NB	AB-AltDTree	AB-RF	AB-RedEPTree	AB-CART
TTBM (sec)	18.32	30.01	10.34	64.35	295.45
Accuracy (%)	80.6	93.56	95.47	82.23	81.67
MAE	0.54	0.21	0.14	0.21	0.20
RMSE	0.76	0.43	0.38	0.41	0.41
RAE	129.79	57.78	35.87	45.19	41.61
RRSE	155.62	96.23	65.47	91.03	91.08
F1-score	0.81	0.94	0.98	0.83	0.87