The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

Table 4

Classification results of the firefly-SVM and PSO-SVM with feature selection.

Data sets	Number of original features	Firefly-SVM		PSO-SVM
		CCR (mean ± SD)	Number of features	CCR (mean ± SD)	Average number of features
SPECTF heart	44	85.89 ± 1.43	18	82.34 ± 2.174	22.6
Breast Cancer Wisconsin (diagnosis)	32	98.44 ± 0.39	14	98.44 ± 0.90	13.4
Statlog (heart)	13	86.75 ± 2.19	8	87.51 ± 2.21	8.6
German credit data	20	79.34 ± 1.14	12	75.33 ± 2.23	14.3
Sonar	60	95.23 ± 3.41	20	91.31 ± 2.42	32.7
Pima-Indians-diabetes	8	78.83 ± 1.62	5	77.87 ± 1.49	5.4
Australian credit approval	14	89.43 ± 1.65	8	84.34 ± 4.77	8.6
Liver disorders	7	75.36 ± 2.29	4	74.76 ± 2.12	5.2
Ionosphere	34	97.98 ± 3.15	12	95.21 ± 2.14	17.6
Breast Cancer Wisconsin (original)	10	98.67 ± 0.53	6	98.67 ± 1.39	6.7