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Table 2 Classification Performance of CatBoost classifier in male populations

From: Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data

Male-Label

Accuracy

AUC

Recall

Prec.

F1

Kappa

MCC

Chlamydia

0.9904

0.9995

0.9978

0.9831

0.9904

0.9807

0.9809

Genital herpes

0.9665

0.9948

0.9841

0.9513

0.9674

0.9329

0.9335

Genital warts

0.9621

0.9923

0.9802

0.9465

0.963

0.9242

0.9249

Gonorrhea

0.9926

0.9996

0.9981

0.9873

0.9927

0.9852

0.9852

STIs

0.923

0.9769

0.9426

0.9061

0.9239

0.8461

0.847

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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