rrse computes the root relative squared error between two numeric vectors.
The ground truth numeric vector.
The predicted numeric vector, where each element in the vector
is a prediction for the corresponding element in
rrse takes the square root of
sse(actual, predicted) divided by
sse(actual, mean(actual)), meaning that it provides the squared error of the
predictions relative to a naive model that predicted the mean for every data point.
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