A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis

Table 5

The evaluation metrics of each classifier evaluated by elevenfold cross-validation for the one-stage study.

Classifier	SNS	SPC	PPV	NPV	FPR	FNR	FDR	FOR	ACC
LLC	85.47	92.74	85.47	92.74	7.26	14.53	14.53	7.26	85.47
FLDA	81.72	90.86	81.72	90.86	9.14	18.28	18.28	9.14	81.72
LDC	80.80	90.40	80.80	90.40	9.60	19.20	19.20	9.60	80.80
SVM (‘p’, 1)	77.14	88.57	77.14	88.57	11.43	22.86	22.86	11.43	77.14
Decision tree	77.50	88.75	77.50	88.75	11.25	22.50	22.50	11.25	77.50
Random forest	75.86	87.93	75.86	87.93	12.07	24.14	24.14	12.07	75.86
Naïve Bayes	65.42	82.71	65.42	82.71	17.29	34.58	34.58	17.29	65.42
kNN ()	42.13	71.06	42.13	71.06	28.94	57.87	57.87	28.94	42.13