ResamplePrediction

<p>Contains predictions from resampling, returned (among other stuff) by function <a rd-options="" href="/link/resample?package=mlr&version=2.12.1" data-mini-rdoc="mlr::resample">resample</a>.
Can basically be used in the same way as <a rd-options="" href="/link/Prediction?package=mlr&version=2.12.1" data-mini-rdoc="mlr::Prediction">Prediction</a>, its super class.
The main differences are:
(a) The internal data.frame (member <code>data</code>) contains an additional column <code>iter</code>, specifying the iteration
of the resampling strategy, and and additional columns <code>set</code>, specifying whether the prediction
was from an observation in the &#8220;train&#8221; or &#8220;test&#8221; set. (b) The prediction <code>time</code> is
a numeric vector, its length equals the number of iterations.</p>

Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.

Bernd Bischl

Machine Learning in R

Michel Lang

Lars Kotthoff

Julia Schiffner

Jakob Richter

Zachary Jones

Giuseppe Casalicchio

Mason Gallo

Jakob Bossek

Erich Studerus

Leonard Judt

Tobias Kuehn

Pascal Kerschke

Florian Fendt

Philipp Probst

Xudong Sun

Janek Thomas

Bruno Vieira

Laura Beggel

Quay Au

Martin Binder

Florian Pfisterer

Stefan Coors

Patrick Schratz

Steve Bronder

ResamplePrediction function

<p>Contains predictions from resampling, returned (among other stuff) by function <a rd-options='' href='resample'>resample</a>.
Can basically be used in the same way as <a rd-options='' href='Prediction'>Prediction</a>, its super class.
The main differences are:
(a) The internal data.frame (member <code>data</code>) contains an additional column <code>iter</code>, specifying the iteration
of the resampling strategy, and and additional columns <code>set</code>, specifying whether the prediction
was from an observation in the &#8220;train&#8221; or &#8220;test&#8221; set. (b) The prediction <code>time</code> is
a numeric vector, its length equals the number of iterations.</p>

Prediction from resampling. — ResamplePrediction

Prediction from resampling.

ResamplePrediction: Prediction from resampling.

Description

Arguments

See Also