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Table 5 Performance evaluation comparison by multiple binary classifier in the aging data after feature selection

From: Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach

 TP rate %FP rate%Precision %Recall %F measure %AUC %
SVM83.517.184.283.583.483.2
libD3C84.615.784.884.684.692.3
NB81.918.582.181.981.986.8