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.
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Updated
Jan 3, 2022 - Java
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.
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
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