Table 19.2.

Performance metrics of ensemble classification models.

S/N	Ensembles	Base classifiers	Performance metrics (%)
S/N	Ensembles	Base classifiers	Precision	Recall	F-Measure	ROC	Accuracy
1.	ADABOOST	SMO	0.999	0.999	0.999	0.999	99.9325
1.	ADABOOST	Decision Stump	0.862	0.862	0.862	0.928	86.1673
2.	BAGGING	SMO	0.999	0.999	0.999	1.000	99.9325
2.	BAGGING	Reptree	0.965	0.965	0.965	0.992	96.4575
3.	VOTE		0.999	0.999	0.999	1.000	99.9325