Table 3.

Confusion matrixes classified by the proposed methods.

	TP	FP	FN	TN
Method 1
ANN	42	6	7	31
RF	42	6	11	27
Bagging (ANN)	48	0	33	5
Bagging (RF)	42	6	6	32
Adaboost (ANN)	42	6	10	28
Adaboost (RF)	40	8	13	25
Method 2
ANN	41	7	7	31
RF	40	8	6	32
Bagging (ANN)	48	0	34	4
Bagging (RF)	40	8	8	30
Adaboost (ANN)	39	9	8	30
Adaboost (RF)	40	8	9	29
Method 3
ANN	40	8	6	32
RF	39	9	10	28
Bagging (ANN)	19	29	6	32
Bagging (RF)	40	8	5	33
Adaboost (ANN)	40	8	6	32
Adaboost (RF)	41	7	7	31
Method 4
ANN	43	5	3	35
RF	41	7	7	31
Bagging (ANN)	29	19	10	28
Bagging (RF)	42	6	6	32
Adaboost (ANN)	42	6	6	32
Adaboost (RF)	41	7	10	28