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rse
computes the relative squared error between two numeric vectors.
rse(actual, predicted)
The ground truth numeric vector.
The predicted numeric vector, where each element in the vector
is a prediction for the corresponding element in actual
.
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.
# NOT RUN {
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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