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Table 2 Performance values for trained models by RF-FS from the Stomek-balanced dataset

From: Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them

Classifier

AUC

Brier

G mean

LR

0.75

0.202

0.618

SVC

0.80

0.183

0.734

RF

0.84

0.158

0.739

XGBoost

0.89

0.129

0.806

Stack

0.88

0.134

0.805