Necati Vardar

A Comparative Performance Evaluation of Classification Algorithms on Imbalanced Datasets

Class imbalance remains a critical challenge in supervised learning, often biasing classifiers toward majority classes. While resampling techniques like Synthetic Minority Oversampling Technique (SMOTE) are widely used, the combined effect of data balancing and hyperparameter optimization across diverse datasets is rar...