From: Machine learning-enhanced echocardiography for screening coronary artery disease
Model | Sensitivity | Specificity | ROC AUC |
---|---|---|---|
Gradient boosting | 0.952 | 0.691 | 0.852 |
Catboost | 0.942 | 0.682 | 0.829 |
Random forest | 0.942 | 0.638 | 0.817 |
Extra trees | 0.914 | 0.628 | 0.804 |
Light gradient boosting | 0.932 | 0.664 | 0.824 |
Xgboost | 0.932 | 0.664 | 0.824 |