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Discrimination of AutoPrognosis and Standard Models.
| Model | AUROC (95% Confidence Interval) |
|---|---|
|
| |
| AutoPrognosis | 0.732 ± 0.01 (0.720–0.745) |
| Logistic Regression | 0.644 ± 0.02 (0.628–0.659) |
| XGBoost | 0.635 ± 0.03 (0.612–0.658) |
| Gradient Boosting | 0.715 ± 0.02 (0.699–0.732) |
| AdaBoost | 0.710 ± 0.02 (0.695–0.726) |
| Random Forest | 0.574 ± 0.02 (0.557–0.591) |
