R/predictions.R

In modelimpact: Functions to Assess the Business Impact of Churn Prediction Models

#' Predictions from a customer churn model.
#'
#' A dataset containing 2145 observations with four columns specifying predicted probabilities and predicted and actual class.
#'
#' @format A data frame with 2145 rows and 4 variables:
#' \describe{
#'   \item{predict}{Predicted class}
#'   \item{No}{Predicted probability of class 'No'}
#'   \item{Yes}{Predicted probability of class 'Yes'}
#'   \item{Churn}{Actual class}

#'   ...
#' }
"predictions"