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

Table 4

Ensemble classifiers, heterogeneous.

Performance metrics	NB + AltDTree	NB + RF	AltDTree + RF	RF + RedEPTree	RF + CART	AltDTree + RedEPTree	AltDTree + CART
TTBM (sec)	30.03	32.05	398.12	7.89	7.34	357.77	598.02
Accuracy (%)	76.45	76.05	70.12	85.45	86.29	74.49	71.29
MAE	0.42	0.43	0.37	0.35	0.34	0.37	0.41
RMSE	0.42	0.39	0.49	0.36	0.36	0.37	0.42
RAE	99.23	92.23	80.12	71.01	70.89	73.23	89.23
RRSE	98.23	97.49	101.22	91.29	90.12	93.37	99.34
F1-score	0.74	0.75	0.68	0.84	0.85	0.73	0.69