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mlr3

mlr_measures_oob_error

Out-of-bag Error Measure

Description

Returns the out-of-bag error of the Learner for learners that support it (learners with property "oob_error"). Returns NA for unsupported learners.

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

mlr_measures$get("oob_error")
msr("oob_error")

Meta Information

  • Type: NA

  • Range: (-Inf, Inf)

  • Minimize: NA

  • Required prediction: 'response'

Super class

mlr3::Measure -> MeasureOOBError

Methods

Public methods

Method new()

Creates a new instance of this R6 class.

Usage
MeasureOOBError$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
MeasureOOBError$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

See Also

as.data.table(mlr_measures) for a complete table of all (also dynamically created) Measure implementations.

mlr3

Machine Learning in R - Next Generation

v0.11.0
LGPL-3
Authors
Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)
Initial release

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