analyzeFeatSelResult

(<a rd-options="" href="/link/FeatSelResult?package=mlr&version=2.19.0" data-mini-rdoc="mlr::FeatSelResult">FeatSelResult</a>)
The result of of <a rd-options="" href="/link/selectFeatures?package=mlr&version=2.19.0" data-mini-rdoc="mlr::selectFeatures">selectFeatures</a>.

(<code>logical(1)</code>)
Per iteration: Print only the selected feature (or all features that were evaluated)?
Default is <code>TRUE</code>.

reduce

This function prints the steps selectFeatures took to find its optimal set
of features and the reason why it stopped.
It can also print information about all calculations done in each intermediate step.
Currently only implemented for sequential feature selection.

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.

Patrick Schratz

Machine Learning in R

Bernd Bischl

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

Steve Bronder

Alexander Engelhardt

Christoph Molnar

Annette Spooner

analyzeFeatSelResult function

<dl><dt>res</dt>
<dd>(FeatSelResult) 
The result of of selectFeatures.</dd>
<dt>reduce</dt>
<dd>(<code>logical(1)</code>) 
Per iteration: Print only the selected feature (or all features that were evaluated)?
Default is <code>TRUE</code>.</dd></dl>

Arguments

Show and visualize the steps of feature selection. — analyzeFeatSelResult

<dl>

<dt>res</dt>
<dd>(FeatSelResult) 
The result of of selectFeatures.</dd>


<dt>reduce</dt>
<dd>(<code>logical(1)</code>) 
Per iteration: Print only the selected feature (or all features that were evaluated)?
Default is <code>TRUE</code>.</dd>

</dl>

Show and visualize the steps of feature selection.

analyzeFeatSelResult: Show and visualize the steps of feature selection.

Description

Usage

Value

Arguments

See Also