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mae

Mean Absolute Error


Description

Calculates weighted mean absolute error of predicted values. The smaller the value, the better.

Usage

mae(actual, predicted, w = NULL, ...)

Arguments

actual

Observed values.

predicted

Predicted values.

w

Optional case weights.

...

Further arguments passed to weighted_mean.

Value

A numeric vector of length one.

Examples

mae(1:10, c(1:9, 12))
mae(1:10, c(1:9, 12), w = rep(1, 10))
mae(1:10, c(1:9, 12), w = 1:10)

MetricsWeighted

Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

v0.5.2
GPL (>= 2)
Authors
Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]
Initial release
2021-04-16

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