Relative Squared Error
rse computes the relative squared error between two numeric vectors.
rse(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 |
rse divides sse(actual, predicted) 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.
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) rse(actual, predicted)
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