churn: Churn data
In AUC: Threshold Independent Performance Measures for Probabilistic Classifiers
churn R 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.
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| churn | R 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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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