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Table 3 Classification Performance of CatBoost classifier in female populations

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

Female-Label

Accuracy

AUC

Recall

Prec.

F1

Kappa

MCC

Chlamydia

0.9792

0.9971

0.9921

0.9675

0.9796

0.9585

0.9588

Genital herpes

0.9137

0.972

0.9322

0.8994

0.9155

0.8275

0.8281

Genital warts

0.9188

0.9765

0.9377

0.9037

0.9202

0.8375

0.8384

Gonorrhea

0.9946

1

0.9988

0.9905

0.9947

0.9893

0.9893

HPV

0.881

0.9485

0.9027

0.8679

0.8848

0.7619

0.7628

STIs

0.7932

0.8819

0.792

0.7904

0.7911

0.5863

0.5865

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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