plotCritDifferences

[<code>critDifferencesData</code>]
Result of <a rd-options="" href="/link/generateCritDifferencesData?package=mlr&version=2.10" data-mini-rdoc="mlr::generateCritDifferencesData">generateCritDifferencesData</a> function.

[<code>character(1)</code>]: [<code>learner.id</code>] 
Overwrites baseline from <a rd-options="" href="/link/generateCritDifferencesData?package=mlr&version=2.10" data-mini-rdoc="mlr::generateCritDifferencesData">generateCritDifferencesData</a>!
Select a [<code>learner.id</code> as baseline for the critical difference
diagram, the critical difference will be positioned arround this learner.
Defaults to best performing algorithm.

baseline

[<code>logical{1}</code>]
Whether to use the short name of the learner instead of its ID in labels. Defaults to <code>TRUE</code>.

pretty.names

Plots a critical-differences diagram for all classifiers and
a selected measure. If a baseline is selected for the Bonferroni-Dunn
test, the critical difference interval will be positioned arround the baseline.
If not, the best performing algorithm will be chosen as baseline.
The positioning of some descriptive elements can be moved by modifying the
generated data.

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

plotCritDifferences function

[<code>critDifferencesData</code>]
Result of <a rd-options='' href='generateCritDifferencesData'>generateCritDifferencesData</a> function.

[<code>character(1)</code>]: [<code>learner.id</code>] 
Overwrites baseline from <a rd-options='' href='generateCritDifferencesData'>generateCritDifferencesData</a>!
Select a [<code>learner.id</code> as baseline for the critical difference
diagram, the critical difference will be positioned arround this learner.
Defaults to best performing algorithm.

plotCritDifferences: Plot critical differences for a selected measure.

Description

Usage

Arguments

Value

References

See Also

Examples