J. Qadir

Enhancing Multiclass Diabetes Prediction with SMOTE and Machine Learning Classifiers

The results prove that ensemble models applied to class balancing and explainability methods can be used to rely on and provide clear tools regarding multiclass diabetes classification and illustrate the costs and benefits of operating a global model versus a minority-class sensitive one.