Fig. 9
From: A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Model performance in fifth iteration: optimized XGBoost with ultrasound and clinical features. Confusion matrices for the training (a) and test (b) datasets and ROC curves for the training (c) and test (d) datasets.
