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

Table 10

The classification accuracy of other algorithms on GEO data set.

Measure	Accuracy
SVM-RFE-CV	73.85%
LS-SVM	68.42%
PCA+FDA	66.92%
MI+SVM	62.57%
SVM-RFE-GS	78.46%
SVM-RFE-PSO	81.54%
SVM-RFE-GA	76.92%