Classification Imbalanced Data Sets: A Survey

Abstract

Unbalanced data, a snag often found in real-world applications, can seriously adversely affect machine learning algorithms ' classification efficiency.Various tries are made to classify unbalanced data sets.In order to face the imbalanced data sets snag, we should rebalance them artificially through machine learning classifiers by oversampling and/or undersampling.