churn: Churn data

churnR Documentation

Churn data

Description

churn contains three variables: the churn predictions (probabilities) of two models, and observed churn

Usage

data(churn)

Format

A data frame with 1302 observations, and 3 variables: predictions, predictions2, churn.

Author(s)

Authors: Michel Ballings and Dirk Van den Poel, Maintainer: Michel.Ballings@UGent.be

References

Ballings, M., Van den Poel, D., Threshold Independent Performance Measures for Probabilistic Classifcation Algorithms, Forthcoming.

Examples

data(churn)
str(churn)

AUC documentation built on April 5, 2022, 1:15 a.m.