Relative Absolute Error
rae computes the relative absolute error between two numeric vectors.
rae(actual, predicted)
actual |
The ground truth numeric vector. |
predicted |
The predicted numeric vector, where each element in the vector
is a prediction for the corresponding element in |
rae divides sum(ae(actual, predicted)) by sum(ae(actual, mean(actual))),
meaning that it provides the absolute error of the predictions relative to a naive model that
predicted the mean for every data point.
actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6) predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2) rrse(actual, predicted)
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