Imbalance: A comprehensive multi-interface Julia toolbox to address class imbalance
Essam Wisam, Anthony D. Blaom · The Journal of Open Source Software · 2024
Given a set of observations that each belong to a certain class, supervised classification aims to learn a classification model that can predict the class of a new, unlabeled observation (Cunningham et al., 2008).This modeling process finds extensive application in real-life scenarios, including but not limited to medical diagnostics, recommendation systems, credit scoring, and sentiment analysis.