Metrics (version 0.1.4)

rae: Relative Absolute Error

Description

rae computes the relative absolute error between two numeric vectors.

Usage

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

# 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)
rrse(actual, predicted)
# }