swMATH ID: 32593
Software Authors: Bing Zhu; Zihan Gao; Junkai Zhao; Seppe K.L.M. vanden Broucke
Description: IRIC: An R library for binary imbalanced classification. Imbalanced classification is a challenging issue in data mining and machine learning, for which a large number of solutions have been proposed. In this paper, we introduce an R library called IRIC, which integrates a wide set of solutions for imbalanced binary classification. IRIC not only provides a new implementation of some state-of-art techniques for imbalanced classification, but also improves the efficiency of model building using parallel techniques. The library and its source code are made freely available.
Homepage: https://www.sciencedirect.com/science/article/pii/S2352711019301700
Source Code: https://github.com/shuzhiquan/IRIC
Related Software: MWMOTE; RUSBoost; SMOTEBoost; Imbalanced-learn; WEKA; KEEL; ROSE; ebmc; smotefamily; unbalanced; imbalance; R; robROSE; robustbase
Cited in: 1 Publication

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