optbinningR: Optimal Binning Methods for Predictive Modeling and Analytics

2026 Dataset Open access

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Authors: S. Rani
DOI: 10.32614/cran.package.optbinningr
Cited by: 0
References: 2

Abstract

Native R tools for optimal binning workflows in predictive modeling. The package provides APIs for binary, multi-class and continuous targets, with multi-variable binning and scorecard workflows. Methods are informed by Navas-Palencia (2020) and Navas-Palencia (2021) .

Fields of Study & Subjects

Financial Distress and Bankruptcy Prediction Customer churn and segmentation Imbalanced Data Classification Techniques

Publication details

Publication date
16 March 2026
Language
EN
Document type
Dataset