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mape

Mean Absolute Percent Error

Description

Regression measure defined as

mean(abs((t - r) / t)).

Usage

mape(truth, response, na_value = NaN, ...)

Arguments

truth

(numeric())
True (observed) values. Must have the same length as response.
response

(numeric())
Predicted response values. Must have the same length as truth.
na_value

(numeric(1))
Value that should be returned if the measure is not defined for the input (as described in the note). Default is NaN.
...

(any)
Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "regr"

  • Range: [0, Inf)

  • Minimize: TRUE

  • Required prediction: response

Note

This measure is undefined if any element of t is 0.

References

de Myttenaere, Arnaud, Golden, Boris, Le Grand, Bénédicte, Rossi, Fabrice (2016). “Mean Absolute Percentage Error for regression models.” Neurocomputing, 192, 38-48. ISSN 0925-2312, doi: 10.1016/j.neucom.2015.12.114.

See Also

Other Regression Measures: bias(), ktau(), mae(), maxae(), maxse(), medae(), medse(), mse(), msle(), pbias(), rae(), rmse(), rmsle(), rrse(), rse(), rsq(), sae(), smape(), srho(), sse()

Examples

set.seed(1)
truth = 1:10
response = truth + rnorm(10)
mape(truth, response)
mlr3measures

Performance Measures for 'mlr3'

v0.3.1
LGPL-3
Authors
Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Martin Binder [ctb]
Initial release

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