rse: Relative Squared Error

Description Usage Arguments Details See Also Examples

Description

rse computes the relative squared error between two numeric vectors.

Usage

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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

rrse rae

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)
rse(actual, predicted)

Example output

[1] 0.04177057

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

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