Model-class: Model class definition
In Zelazny7/binnr: Scorecard modeling in R

Description Slots

The Model object contains all of the information describing a fitted binnr Scorecard. This includes a list of the Transforms used for WoE substitution, which variables entered the model, and some performance metrics.

name: short model identifier
description: short description of the model
settings: saved list of settings used to bin and fit the model
transforms: list of Bin Transforms used to fit the model
dropped: character vector denoting which variables were dropped at time of fit
inmodel: character vector denoting which variables entered the model
steptwo: named numeric vector of how varaibles would enter the model if the lambda value was lowered (a "looser" fitting model).
coefs: intercept and coefficients of the fitted model as a numeric vector
contribution: some measure of variable contribution to the model's predictive power
ks: statistic measuring the separation of the two performance classes
fit: the result of the cv.glmnet function call