Scoring Modeling and Optimal Binning
Customized Binning
Exploratory Data Analysis (EDA)
Customized Binning on Factor Variables
Utility to generate a new characteristic from a factor variable
Binning on Factor Variables
Utility to generate a new characteristic from a numeric variable
Logistic Regression Ranking
Visualization of a Classification Matrix
Performance Metrics for a Classification Model
Monotonic Binning
Plots after binning
Population Stability Index
Optimal Binning for Scoring Modeling
Scaling
Generation of Score and Its Weights
Generation of SQL Code After Scaled Model
SQL Code
Plot Information Value Summary
Information Value Summary
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.