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

Table 7

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

Measure	SVM-RFE-GS	SVM-RFE-PSO	SVM-RFE-GA
genes	15	6	8
Accuracy	91.0017%	91.6808%	91.3413%
Precision	99.2593%	100%	99.6296%
Recall	91.6239%	91.6808%	91.6525%
F-score	95.2889%	95.6599%	95.4747%
AUC	0.79603	0.87487	0.53023