Fig. 4
From: A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
SHAP waterfall plot for a high-confidence, correctly classified PCOS case. Features with SHAP values greater than zero increase the model’s prediction toward the PCOS class, while those with negative values decrease it toward the non-PCOS class. The plot begins at the model’s base value and adds each feature’s contribution sequentially to reach the final prediction score.
