Fig. 2From: Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical featuresOverall performance of the machine learning model The Receiver-Operating Characteristic curve for the supervised, binary classification ensemble model demonstrates high predictive capability with an area-under-the-curve of 0.784 for the majority voting classifier. (B) Model-predicted responders exhibited a 69% response rate (61/88), while model-predicted non-responders exhibited only a 27% response rate (19/71). Further stratification based on the model-predicted responses probability score demonstrated a greater predictive accuracyBack to article page