Comparative evaluation of resampling techniques for improving the performance of classification algorithms on a breast cancer dataset
Class imbalance is a common problem in machine learning classification tasks and may negatively affect the reliability and predictive performance of classification models. The research object is the comprehensive evaluation of different resampling techniques applied to a publicly available breast cancer dataset consist...