A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction
Introduction Heart disease classification using small structured clinical datasets requires evaluation procedures that account for sampling variability, model-selection bias, probability calibration, and clinically relevant operating characteristics. This study presents an internally validated comparison of classical c...