plot,tuningresult-method: Visualize results of tuning

In CMA: Synthesis of microarray-based classification

Description

After hyperparameter tuning using tune it is useful to see which choice of hyperparameters is suitable and how good the performance is.

Arguments

x	An object of class tuningresult.
iter	Iteration number (learningset) for which tuning results should be displayed.
which	Character vector (maximum length is two) naming the arguments for which tuning results should be display. Default is NULL; if the number of tuned hyperparameter is less or equal than two, then the results for these hyperparameters will be plotted. If this number is two, then a contour plot will be made, otherwise a simple line segment plot. If the number of tuned hyperparameters exceeds two, then which may not be NULL.
...	Further graphical options passed either to plot or contour.

Value

no return.

Note

Frequently, several hyperparameter (combinations) perform "best", s. also the remark in best.

Author(s)

Martin Slawski [e-mail]

Anne-Laure Boulesteix [e-mail]

References

Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439

See Also

tune, tuningresult

CMA documentation built on Nov. 8, 2020, 5:02 p.m.