Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model

Table 1

The performance criteria of the SVM and GA-SVM.

Number of used features	Method	Total accuracy (%)	AUC
54,657	SVM	62.500	0.625
27,265	GA+SVM	79.167	0.792
445	SVM	87.500	0.878
181	GA+SVM	100.000	1.000

Area under the ROC curve.