A Parallel Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector Machine

Table 2

Comparisons between CGPGA-SVM and GA-SVM.

Dataset	CGPGA-SVM	GA-SVM
Ionosphere	98.85 ± 2.01	98.03 ± 2.64
Breast cancer	98.53 ± 1.16	98.39 ± 1.75
Australia	90.13 ± 2.39	87.10 ± 2.64
Diabetes	81.76 ± 3.37	79.04 ± 2.44
Vehicle	86.05 ± 3.54	83.69 ± 2.64
Vowel	99.29 ± 0.68	98.58 ± 1.44
Car	99.83 ± 0.39	99.36 ± 0.51
Splice	92.66 ± 1.43	89.07 ± 1.81
DNA	96.79 ± 1.31	95.83 ± 1.01
WaveForm	87.81 ± 1.60	82.60 ± 2.56
Svmguide1	96.66 ± 0.76	96.69 ± 0.98
Mushrooms	100.0 ± 0.00	99.96 ± 0.06