Description Usage Arguments Details See Also Examples
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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