rae: Relative Absolute Error

Description Usage Arguments Details See Also Examples

Description

rae computes the relative absolute error between two numeric vectors.

Usage

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rae(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

rae divides sum(ae(actual, predicted)) by sum(ae(actual, mean(actual))), meaning that it provides the absolute error of the predictions relative to a naive model that predicted the mean for every data point.

See Also

rse rrse

Examples

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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)

Example output

[1] 0.2043785

Metrics documentation built on May 1, 2019, 10:11 p.m.

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