From: Prediction of intracranial findings on CT-scans by alternative modelling techniques
Model | AUC | 95% CI for AUC | Mean AUC training | Mean AUC test | Optimism | Optimism-Corrected AUC |
---|---|---|---|---|---|---|
Logistic regression | 0.800 | 0.769 - 0.830 | 0.789 | 0.772 | 0.017 | 0.783 |
Neural net | 0.782 | 0.751 - 0.814 | 0.785 | 0.746 | 0.038 | 0.744 |
Bayes network | 0.806 | 0.777 - 0.836 | 0.808 | 0.743 | 0.065 | 0.741 |
CHAID | 0.759 | 0.724 - 0.794 | 0.761 | 0.686 | 0.075 | 0.684 |
Decision list | 0.674 | 0.633 - 0.715 | 0.673 | 0.626 | 0.048 | 0.627 |
CART extended | 0.657 | 0.616 - 0.699 | 0.599 | 0.559 | 0.040 | 0.617 |
Support vector machine | 0.754 | 0.714 - 0.794 | 0.740 | 0.578 | 0.162 | 0.592 |
CART default | 0.568 | 0.527 - 0.609 | 0.556 | 0.537 | 0.019 | 0.549 |