AUC: churn – R documentation

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churn

Churn data

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

data(churn)

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

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

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

data(churn)
str(churn)

Threshold independent performance measures for probabilistic classifiers.

v0.3.0

GPL (>= 2)

Authors

Michel Ballings and Dirk Van den Poel

Initial release

2013-09-30