CollapseLevels: Collapses Levels, Computes Information Value and WoE

Contains functions to help in selecting and exploring features ( or variables ) in binary classification problems. Provides functions to compute and display information value and weight of evidence (WoE) of the variables , and to convert numeric variables to categorical variables by binning. Functions are also provided to determine which levels ( or categories ) of a categorical variable can be collapsed (or combined ) based on their response rates. The functions provided only work for binary classification problems.

Package details

AuthorKrishanu Mukherjee
MaintainerKrishanu Mukherjee <>
Package repositoryView on CRAN
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CollapseLevels documentation built on July 1, 2020, 5:38 p.m.