Biomarker detection using corrected degree of domesticity in hybrid social network feature selection for improving classifier performance

Table 3 Classification performances of SNFS in colon cancer test set

FS	CD	CN	Acc.	Sens.	Spe.	AUC
SVM SQRT-RFE+IG	Louvain	3	0.8947	0.8571	0.9167	0.9167
SVM SQRT-RFE+CS		3	0.8947	0.8571	0.9167	0.9167
SVM SQRT-RFE+RF		3	0.8421	0.8571	0.8333	0.8214
IG+CS		3	0.6316	0.4286	0.75	0.8214
IG+RF		3	0.8421	0.7143	0.9167	0.9643
CS+RF		3	0.8421	0.7143	0.9167	0.9405
SVM SQRT-RFE+IG	Walktrap	3	0.8947	0.8571	0.9167	0.8929
SVM SQRT-RFE+CS		3	0.8947	0.8571	0.9167	0.8929
SVM SQRT-RFE+RF		3	0.8421	0.8571	0.8333	0.8214
IG+CS		3	0.6316	0.4286	0.75	0.8214
IG+RF		4	0.8421	0.7143	0.9167	0.9524
CS+RF		4	0.8421	0.7143	0.9167	0.9643
SVM SQRT-RFE+IG	Infomap	3	0.8947	0.8571	0.9167	0.8929
SVM SQRT-RFE+CS		3	0.8947	0.8571	0.9167	0.8929
SVM SQRT-RFE+RF		3	0.8421	0.8571	0.8333	0.8214
IG+CS		3	0.6316	0.4286	0.75	0.8214
IG+RF		3	0.8421	0.7143	0.9167	0.9643
CS+RF		3	0.8421	0.7143	0.9167	0.9405

FS: feature selection method used in the first step of the algorithm; CD: community detection method used in the third step of the algorithm; CN: number of communities detected by the community detection algorithm; Acc.: accuracy; Sens.: sensitivity; Spe.: specificity; AUC: area under the ROC curve

ISSN: 1471-2105