An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data

Table 6

The performance comparison of SVM-RFE-GS, SVM-RFE-PSO, and SVM-RFE-GA algorithm on GEO data set.

Measure	SVM-RFE-GS	SVM-RFE-PSO	SVM-RFE-GA
genes	8	8	8
Accuracy	78.4615%	81.5385%	76.9231%
Precision	73.5294%	79.4118%	70.5882%
Recall	83.3333%	84.3750%	82.7586%
F-score	78.125%	81.8182%	76.1905%
AUC	0.7686	0.8589	0.7605