predictions

A dataset containing 2145 observations with four columns specifying predicted probabilities and predicted and actual class.

datasets

Calculate the financial impact of using a churn model in terms of cost, revenue, profit and return on investment.

Peer Christensen

modelimpact

Functions to Assess the Business Impact of Churn Prediction
Models

predictions function

A data frame with 2145 rows and 4 variables:<dl class="dl-horizontal">
 <dt>predict</dt><dd>Predicted class</dd>
 <dt>No</dt><dd>Predicted probability of class 'No'</dd>
 <dt>Yes</dt><dd>Predicted probability of class 'Yes'</dd>
 <dt>Churn</dt><dd>Actual class</dd>
 ...
</dl>

Format

Predictions from a customer churn model. — predictions

A data frame with 2145 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>predict</dt><dd>Predicted class</dd>
 <dt>No</dt><dd>Predicted probability of class 'No'</dd>
 <dt>Yes</dt><dd>Predicted probability of class 'Yes'</dd>
 <dt>Churn</dt><dd>Actual class</dd>
 ...
</dl>

predictions: Predictions from a customer churn model.

Description

Usage

Arguments

Format