rrse {Metrics} | R Documentation |
Root Relative Squared Error
Description
rrse
computes the root relative squared error between two numeric vectors.
Usage
rrse(actual, predicted)
Arguments
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 |
Details
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.
See Also
Examples
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)
[Package Metrics version 0.1.4 Index]