D. R

Beyond Predictive Accuracy: A Multi-Criteria Adaptive Framework for Reliability-Aware Machine Learning Model Selection in Cardiovascular Disease Prediction

MASE-RAMR provides a dataset-dependent and reliability-aware strategy for ML model selection beyond predictive accuracy alone, providing a more comprehensive basis for identifying candidate models for clinical decision support.