Scoring Modeling and Optimal Binning

A set of functions to build a scoring model from beginning to end, leading the user to follow an efficient and organized development process, reducing significantly the time spent on data exploration, variable selection, feature engineering, binning and model selection among other recurrent tasks. The package also incorporates monotonic and customized binning, scaling capabilities that transforms logistic coefficients into points for a better business understanding and calculates and visualizes classic performance metrics of a classification model.


Reference manual

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0.9 by Herman Jopia, a year ago

Browse source code at

Authors: Herman Jopia

Documentation:   PDF Manual  

GPL (>= 2) license

Imports gsubfn

Depends on sqldf, partykit, Formula

Imported by dlookr.

Suggested by SmartEDA, woeR.

See at CRAN