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

Table 5

The performance comparison of SVM and SVM-RFE algorithm on TCGA data set.

Measure	SVM	SVM-RFE
genes	159	15
Accuracy	91.6808%	91.5110%
Precision	100%	99.8148%
Recall	91.6808%	91.6667%
F-score	95.6599%	95.5674%
AUC	0.41565	0.63938