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smbinning (version 0.9)

Scoring Modeling and Optimal Binning

Description

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.

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Version

Install

install.packages('smbinning')

Monthly Downloads

1,238

Version

0.9

License

GPL (>= 2)

Maintainer

Herman Jopia

Last Published

April 1st, 2019

Functions in smbinning (0.9)

smbinning.gen

Utility to generate a new characteristic from a numeric variable
smbinning.scoring.gen

Generation of Score and Its Weights
smbinning.metrics

Performance Metrics for a Classification Model
smbinning.metrics.plot

Visualization of a Classification Matrix
smbinning.psi

Population Stability Index
smbinning.scaling

Scaling
smbinning.scoring.sql

Generation of SQL Code After Scaled Model
smbinning.eda

Exploratory Data Analysis (EDA)
smbinning.factor

Binning on Factor Variables
smbinning

Optimal Binning for Scoring Modeling
smbinning.custom

Customized Binning
smbinning.monotonic

Monotonic Binning
smbinning.sql

SQL Code
smbinning.factor.custom

Customized Binning on Factor Variables
smbinning.plot

Plots after binning
smbinning.sumiv

Information Value Summary
smbinning.factor.gen

Utility to generate a new characteristic from a factor variable
smbinning.sumiv.plot

Plot Information Value Summary
smbsimdf1

Simulated Credit Data
smbsimdf3

Monotonic Binning Sample Data
smbsimdf2

Monotonic Binning Sample Data
smbinning.logitrank

Logistic Regression Ranking