AutoModel (version 0.4.9)

classification_table: Binary Logistic Regression: Classification Table

Description

Binary Logistic Regression: Classification Table

Usage

classification_table(model, response)

Arguments

model

A binary logistic regression model object.

response

The dependent variable in model.

Details

Creates classification table for binary logistic regresison model using optimal cut point for accuracy.

Examples

formulas <- create_formula_objects("am", c("hp", "mpg"), c("disp"),
c("drat"))
mtcars_models <- create_model_objects(formulas, data=mtcars,
type="binomial")
last_model <- mtcars_models[[length(mtcars_models)]]
classification_table(last_model, last_model$model[,1])