imbalanced-learn

About imbalanced-learn

imbalanced-learn is an open source Python library designed for users working with classification problems where the classes are imbalanced. It provides a collection of resampling techniques, compatible with scikit-learn, for balancing class distributions and improving model performance. The library is suitable for data scientists and machine learning practitioners needing to preprocess imbalanced datasets.