Tools, algorithms and data structures for rough sets and explainable machine learning, including algorithms for discernibility matrix, reducts, decision rules, classification (KNN, NeuralNet, AQ15, RoughSet, RIONIDA, SVM, C4.5, and many others), discretization (1R, EntropyMinimization, ChiMerge, MD), and tool for explainable and interactive ML.

A generator of multi-dimensional and multi-class imbalanced data, designed to create artificial datasets for the study of data difficulty factors in imbalanced learning.