Table 3 The performance of different machine learning models.

From: An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy

Model

Precision

Sensitivity

Specificity

F1-score

AUC (95% CI)

LR

0.979

0.807

0.981

0.885

0.935 (0.927–0.943)

DT

0.940

0.862

0.944

0.899

0.947 (0.941–0.953)

XB

0.951

0.907

0.953

0.929

0.963 (0.958–0.968)

RF

0.961

0.886

0.964

0.922

0.967 (0.961–0.972)

CB

0.980

0.893

0.982

0.935

0.969 (0.962–0.975)

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