Techniques to handle imbalanced data in machine learning

Understanding Imbalanced Data The classical data imbalance problem is recognized as one of the major problems in the field of data mining and machine learning as most machine learning algorithms assume that data is equally distributed. In the case of imbalanced data, majority classes dominate over minority classes, causing the machine learning classifiers to be … Continue reading Techniques to handle imbalanced data in machine learning