Diversity based oversampling approach for imbalanced datasets
Detailed information, read Bennin, K. E., Keung, J., Phannachitta, P., Monden, A., & Mensah, S. (2018). Mahakil: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction. IEEE Transactions on Software Engineering, 44(6), 534-550.
To work well, download the imbalanced-learn toolbox(SKLEARN library) and add the mahakil class file in the over-sampling folder under examples folder.