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Table 4 Experimental results for each classifier

From: Applying machine learning techniques to the identification of late-onset hypogonadism in elderly men

Method

ACC

Sensitivity

Specificity

ADAM

0.470

0.878

0.099

AMS

0.478

0.652

0.319

DT

0.825

0.840

0.812

AdaBoost DT

0.851

0.861

0.842

LGR

0.635

0.565

0.698

AdaBoost LGR

0.635

0.565

0.698