Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...

Abstract: Class imbalance is a pervasive challenge in real-world machine learning (ML) applications, where the minority class, often the class of interest, is significantly underrepresented. This ...

Handling imbalanced datasets is one of the biggest challenges in machine learning. Traditional models like Support Vector Machines and Random Forest often get biased toward majority classes, leading ...