bin_cv_glm: Cross-Validated Logistic Regression Model

In mr-hn/mlTools: Model evaluation tools for classification and regression problems

Description

Apply cross-validation on a logistic regression model and return ROC area and precision-recall curve area

Usage

bin_cv_glm(k = 5, data, formula, y, seed = runif(1, 0, 9999999))

Arguments

k	for k-fold. Default is 5
data	data that will be cross-validated
formula	ranger formula
y	the target variable
seed	random seed. Default is random

Value

returns a list containing ROC area and PR area

mr-hn/mlTools documentation built on July 1, 2019, 9:17 a.m.