MeasureOOBError

mlr_measures_oob_error

Returns the out-of-bag error of the <a rd-options="" href="/link/Learner?package=mlr3&version=0.1.4" data-mini-rdoc="mlr3::Learner">Learner</a> for learners that support it
(learners with property <code>"oob_error"</code>).
Returns <code>NA</code> for unsupported learners.

datasets

Efficient, object-oriented programming on the building blocks of
machine learning. Provides 'R6' objects for tasks, learners, resamplings,
and measures. The package is geared towards scalability and larger datasets
by supporting parallelization and out-of-memory data-backends like
databases. While 'mlr3' focuses on the core computational operations,
add-on packages provide additional functionality.

Michel Lang

mlr3

Machine Learning in R - Next Generation

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

MeasureOOBError function

<code><a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class()?package=mlr3&version=0.1.4&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class()">R6::R6Class()</a></code> inheriting from <a rd-options="" href="/link/Measure?package=mlr3&version=0.1.4" data-mini-rdoc="mlr3::Measure">Measure</a>.

Format

<pre>MeasureOOBError$new()
mlr_measures$get("oob_error")
msr("oob_error")
</pre>

Construction

Returns the out-of-bag error of the <a rd-options='' href='Learner'>Learner</a> for learners that support it
(learners with property <code>"oob_error"</code>).
Returns <code>NA</code> for unsupported learners.

Out-of-bag Error Measure — MeasureOOBError

<code><a rd-options='R6:R6Class' href='R6::R6Class()'>R6::R6Class()</a></code> inheriting from <a rd-options='' href='Measure'>Measure</a>.

MeasureOOBError: Out-of-bag Error Measure

Description

Arguments

Format

Construction

See Also