View source: R/metrics-sample.R
ae_median_sample | R Documentation |
Absolute error of the median calculated as
%
\textrm{abs}(\textrm{observevd} - \textrm{median\_prediction})
ae_median_sample(observed, predicted)
observed |
A vector with observed values of size n |
predicted |
nxN matrix of predictive samples, n (number of rows) being
the number of data points and N (number of columns) the number of Monte
Carlo samples. Alternatively, |
vector with the scoring values
ae_median_quantile()
observed <- rnorm(30, mean = 1:30)
predicted_values <- matrix(rnorm(30, mean = 1:30))
ae_median_sample(observed, predicted_values)
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