S. Patil

Enhancing Imbalanced Data Classification with Class-Aware Synthetic Minority Over-sampling Technique

Imbalanced data classification is one of the difficult machine learning tasks in which the majority class outnumbers the minority classes. This problem is prevalent in various domains such as medical disease detection, spam/fraud detection, digital marketing, agriculture and telecommunications. Synthetic Minority Over-...