churn: Churn data

In lift: Compute the Top Decile Lift and Plot the Lift Curve

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: Steven Hoornaert, Michel Ballings and Dirk Van den Poel, Maintainer: [e-mail]

Examples

data(churn)
str(churn)

Example output

'data.frame':	1302 obs. of  3 variables:
 $ predictions : num  0 0 0 0.216 0 0.298 0.326 0 0 0 ...
 $ predictions2: num  0 0.002 0.01 0.096 0 0.232 0.262 0 0.002 0.002 ...
 $ labels      : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 2 1 1 1 ...

lift documentation built on May 1, 2019, 9:21 p.m.