HIGHLIGHTS
- What: A widely adopted method for addressing class imbalance is the Synthetic Minority Over-sampling Technique (SMOTE), an Research Objectives The aim is determining the optimal machine_learning model and parameter configurations conducive to accurate diabetes classification. Evaluation Metrics For this study, the authors have selected four evaluation metrics to compare the performance of the models used. The use of these metrics allows the authors to address the research objectives comprehensively by evaluating both the ability of the model to correctly predict the positive class (precision, recall) and its overall accuracy.
- Who: User from the Institute . . .
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