Nothing
#' @title Relative Absolute Error
#'
#' @details
#' The Relative Absolute Error is defined as \deqn{
#' \frac{\sum_{i=1}^n \left| t_i - r_i \right|}{\sum_{i=1}^n \left| t_i - \bar{t} \right|}.
#' }{
#' sum((t - r)^2) / sum((t - mean(t))^2).
#' }
#' Can be interpreted as absolute error of the predictions relative to a naive model predicting the mean.
#'
#' @templateVar mid rae
#' @template regr_template
#'
#' @details
#' This measure is undefined for constant \eqn{t}.
#'
#' @inheritParams regr_params
#' @template regr_example
#' @export
rae = function(truth, response, na_value = NaN, ...) {
assert_regr(truth, response = response, na_value = na_value)
div(sum(.ae(truth, response)), sum(.ae(truth, mean(truth))), na_value)
}
#' @include measures.R
add_measure(rae, "Relative Absolute Error", "regr", 0, Inf, TRUE)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.