Priti Vaidya

Optimizing diabetes prediction in machine learning models: Evaluating the effectiveness of a novel class imbalance technique—adaptive synthetic class balancing with class proportion filtering

Adaptive Synthetic Class Balancing with filtering by class ratio (ASCPF) is suggested, a combination of creating smart fake samples and ratio control which results in more uniform performance on classes with skewed distribution, especially in important health decisions.