AUC (version 0.3.2)

churn: 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.

References

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

Examples

# NOT RUN {
data(churn)
str(churn)
# }