scorecard
An R package for developing traditional credit risk scorecard models with functions for data preprocessing, WOE binning, variable selection, and performance evaluation.
What is scorecard?
Scorecard is an R package designed to facilitate the development of traditional credit risk scorecard models. It provides a suite of functions for data preprocessing, weight of evidence (WOE) binning, variable selection, performance evaluation, and scorecard scaling, streamlining the entire modeling workflow for binary classification tasks in financial risk assessment.
Data scientists, risk analysts, and quantitative developers working in credit risk modeling, financial services, or any domain requiring binary classification models with interpretable scorecards.
Developers choose Scorecard for its specialized, all-in-one toolkit that automates common scorecard development tasks, reduces manual coding, and ensures consistency in model building, making it particularly efficient for traditional credit scoring compared to general-purpose machine learning libraries.
Overview
Scorecard Development in R, 评分卡
Use Cases
Best For
- Building traditional credit risk scorecards using logistic regression
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