Absolute error of the median calculated as
abs(true_value - median_prediction)
The function was created for internal use within
score(), but can also
used as a standalone function.
ae_median_quantile(true_values, predictions, quantiles = NULL)
A vector with the true observed values of size n
numeric vector with predictions, corresponding to the
quantiles in a second vector,
numeric vector that denotes the quantile for the values
vector with the scoring values
true_values <- rnorm(30, mean = 1:30) predicted_values <- rnorm(30, mean = 1:30) ae_median_quantile(true_values, predicted_values, quantiles = 0.5)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.