The datasets in the study "Relabeling & Raking Algorithm for Imbalanced Classification" were sourced from several public repositories, including 1) Knowledge Extraction based on Evolutionary Learn
Most statistical and machine learning models used for binary data modeling and classification assume that the data are balanced. However, this assumption can lead to poor predictive performance and bi