Functions to Assess the Business Impact of Churn Prediction Models

Calculate and visualise the financial impact of using a classification model, such as a churn model, to target customers. Provides cost, revenue, profit and return-on-investment curves as a function of the share of customers targeted, cumulative gains and lift, marginal profit per bin, and confusion-matrix based payoff across probability thresholds. Also includes 'ggplot2' 'autoplot()' methods and an interactive 'shiny' application for exploring the results.


Reference manual

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install.packages("modelimpact")

1.1.0 by Peer Christensen, 3 months ago


https://github.com/PeerChristensen/modelimpact


Report a bug at https://github.com/PeerChristensen/modelimpact/issues


Browse source code at https://github.com/cran/modelimpact


Authors: Peer Christensen [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, magrittr, utils

Suggests ggplot2, scales, shiny, testthat


See at CRAN