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

Table 8

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

Classifier	SNS	SPC	PPV	NPV	FPR	FNR	FDR	FOR	ACC
LLC	86.49	92.11	84.92	91.78	7.89	13.51	15.08	8.22	86.80
FLDA	87.45	92.18	85.25	91.76	7.82	12.55	14.75	8.24	87.51
LDC	84.68	90.29	81.66	89.41	9.71	15.32	18.34	10.59	85.56
SVM (‘p’, 1)	84.46	90.13	80.30	89.51	9.87	15.54	19.70	10.49	84.12
Decision tree	75.78	87.64	74.93	88.00	12.36	24.22	25.07	12.00	75.79
Random forest	77.51	88.29	77.38	88.38	11.71	22.49	22.62	11.62	77.48
Naïve Bayes	67.81	83.86	71.38	84.75	16.14	32.19	28.62	15.25	68.33
kNN ()	42.13	70.51	40.73	70.81	29.49	57.87	59.27	29.19	42.12