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https://www.academia.edu › A_necessary_condition_for_a_good...
In this paper we first derive an explicit solution to a logistic regression model with one independent variable that has undergone a

https://www.m-hikari.com › ams
Copyright 2014 Guoping Zeng This is an open access article distributed under the Creative Commons Attribution License which

https://www.academia.edu › figures
Abstract Binning is a categorization process to transform a continuous variable into a small set of groups or bins Binning is widely

https://www.researchgate.net › profile › Guoping-Zeng
An independent researcher Guoping Zeng has been enamored with Math since his childhood He has recently published a series of

https://rdrr.io › cran › OptimalBinningWoE › src › obn_mrblp.R
This method is suitable for credit scoring applications requiring monotonic WoE patterns but users should be aware that it does not

https://scholar.google.com › citations
Tangfan Xiahou University of Electronic Science Technology of China UESTC Adresse e mail valid e de uestc edu cn Tasneem

https://evandeilton.github.io › OptimalBinningWoE › reference › optimal...
Implements optimal binning for numerical variables using the ChiMerge algorithm Kerber 1992 and Chi2 algorithm Liu Setiono

https://evandeilton.github.io › OptimalBinningWoE › reference › ob...
Performs supervised discretization of categorical variables using the Monotonic Binning Algorithm MBA which enforces strict

https://www.scribd.com › document › Optimal-Binning
The document presents a new monotone optimal binning algorithm for credit risk modeling which aims to improve the performance