BENCHMARKING MACHINE LEARNING CLASSIFIERS FOR HOSPITAL READMISSION PREDICTION IN DIABETES CARE
A comprehensive benchmarking analysis of supervised machine learning classifiers for diabetic patients suggests that no one classifier was superior in all the evaluation measures, which illustrates the need for multi-metric evaluation in designing predictive models for imbalanced healthcare datasets.