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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 %

SVM

83.5

17.1

84.2

83.5

83.4

83.2

libD3C

84.6

15.7

84.8

84.6

84.6

92.3

NB

81.9

18.5

82.1

81.9

81.9

86.8