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mlr3measures (version 0.3.0)

maxae: Max Absolute Error

Description

Regression measure defined as $$ \max \left( \left| t_i - r_i \right| \right). $$

Usage

maxae(truth, response, ...)

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.

...

:: any Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "regr"

  • Range: \([0, \infty)\)

  • Minimize: TRUE

  • Required prediction: response

See Also

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

Examples

Run this code
# NOT RUN {
set.seed(1)
truth = 1:10
response = truth + rnorm(10)
maxae(truth, response)
# }

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