Fig. 10
From: A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Model performance in sixth iteration: Features selected by the Chi-Square based SelectKBest. Confusion matrices for the training (a) and test (b) datasets and ROC curves for the training (c) and test (d) datasets.
