Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

rse

Relative Squared Error


Description

rse computes the relative squared error between two numeric vectors.

Usage

rse(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 actual.

Details

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.

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)
rse(actual, predicted)

Metrics

Evaluation Metrics for Machine Learning

v0.1.4
BSD_3_clause + file LICENSE
Authors
Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.