mlr_measures_oob_error

MeasureOOBError

Returns the out-of-bag error of the <a rd-options="" href="/link/Learner?package=mlr3&version=0.1.6" 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.

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

mlr_measures_oob_error function

<code><a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class()?package=mlr3&version=0.1.6&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=0.1.6" data-mini-rdoc="mlr3::Measure">Measure</a>.

Format

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

Construction

<ul>
<li>Type: <code>NA</code></li>
<li>Range: $(-\infty, \infty)$</li>
<li>Minimize: <code>NA</code></li>
<li>Required prediction: 'response'</li>
</ul>

Meta Information

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 — mlr_measures_oob_error

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

mlr_measures_oob_error: Out-of-bag Error Measure

Description

Arguments

Format

Construction

Meta Information

See Also