boxplot,evaloutput-method

An object of class <code><a rd-options="" href="/link/evaloutput?package=CMA&version=1.30.0" data-mini-rdoc="CMA::evaloutput">evaloutput</a></code>.

Further graphical parameters passed to the
               classical <code>boxplot</code> function.


  This method displays the slot <code>scores</code> of performance
  scores of an object of class <code><a rd-options="" href="/link/evaloutput?package=CMA&version=1.30.0" data-mini-rdoc="CMA::evaloutput">evaloutput</a></code>.


multivariate

boxplot

This package provides a comprehensive collection of various microarray-based classification algorithms
both from Machine Learning and Statistics.
Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed
combined or stepwise in a user-friendly environment.

Christoph Bernau

Synthesis of microarray-based classification

boxplot function

An object of class <code><a href="evaloutput" rd-options="">evaloutput</a></code>.

Further graphical parameters passed to the
               classical <code>boxplot</code> function.

This method displays the slot <code>scores</code> of performance
  scores of an object of class <code><a href="evaloutput" rd-options="">evaloutput</a></code>.

boxplot: Make a boxplot of the classifier evaluation

Description

Arguments

Value

References

See Also