A heuristic‐based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data
Hatice Nizam‐Ozogur,
Zeynep Orman
Abstract:Health datasets often exhibit class imbalance, with healthy individuals being the majority class and patients being the minority class. As in many applications, machine learning methods are frequently used in the prediction and detection of diseases. The class imbalance presents a significant challenge for machine learning classifiers, particularly in their ability to accurately and effectively classify data from minority and majority classes. Therefore, data preprocessing is crucial before classifying the imb… Show more
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