plotBMRBoxplots

[<code><a rd-options="" href="/link/BenchmarkResult?package=mlr&version=2.9" data-mini-rdoc="mlr::BenchmarkResult">BenchmarkResult</a></code>]
Benchmark result.

[<code><a rd-options="" href="/link/Measure?package=mlr&version=2.9" data-mini-rdoc="mlr::Measure">Measure</a></code>]
Performance measure.
Default is the first measure used in the benchmark experiment.

measure

[<code>character(1)</code>]
Type of plot, can be &#147;box&#148; for a boxplot or &#147;violin&#148; for a violin plot.
Default is &#147;box&#148;.

style

[<code>character(n.learners)</code>] 
Character vector with <code>learner.ids</code> in new order.

order.lrns

[<code>character(n.tasks)</code>]  
Character vector with <code>task.ids</code> in new order.

order.tsks

[<code>logical(1)</code>]
Whether to use the <code><a rd-options="" href="/link/Measure?package=mlr&version=2.9" data-mini-rdoc="mlr::Measure">Measure</a></code> name instead of the id in the plot.
Default is <code>TRUE</code>.

pretty.names

[<code>integer()</code>]
Number of rows and columns for facetting. Default for both is <code>NULL</code>.
In this case ggplot's <code>facet_wrap</code> will choose the layout itself.

facet.wrap.nrow, facet.wrap.ncol


Plots box or violin plots for a selected <code>measure</code> across all iterations
of the resampling strategy, faceted by the <code>task.id</code>.


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

plotBMRBoxplots function

[<code><a rd-options='' href='BenchmarkResult'>BenchmarkResult</a></code>]
Benchmark result.

[<code><a rd-options='' href='Measure'>Measure</a></code>]
Performance measure.
Default is the first measure used in the benchmark experiment.

[<code>logical(1)</code>]
Whether to use the <code><a rd-options='' href='Measure'>Measure</a></code> name instead of the id in the plot.
Default is <code>TRUE</code>.

plotBMRBoxplots: Create box or violin plots for a BenchmarkResult.

Description

Usage

Arguments

Value

See Also

Examples