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

Table 8

The performance comparison of RFFS, RFFS-GS, and mRMR algorithm on GEO data set.

Measure	RFFS	RFFS-GS	mRMR
genes	20	18	12
Accuracy	76.9231%	80.0000%	72.3077%
Precision	73.5294%	76.4706%	64.7059%
Recall	80.6452%	83.871%	78.5714%
F-score	76.9231%	80.0000%	70.9677%
AUC	0.75568	0.74242	0.70644