Enhancing Multiclass Diabetes Prediction with SMOTE and Machine Learning Classifiers
Proper identification of the stages of diabetes (non-diabetic, prediabetic, diabetic) is pivotal in the early intervention and risk stratification. Nevertheless, class imbalance in clinical datasets often imbalances machine learning models in the context of majority classes. In this paper, we have assessed four classif...