| best {CMA} | R Documentation |
In this package hyperparameter tuning is performed by
an inner cross-validation step for each learningset.
A grid of values is tried and evaluated in terms of the
misclassification rate, the results are saved in an object
of class tuningresult. This method displays
(separately for each learningset) the hyperparameter/
hyperparameter combination that showed the best results. Note
that this must not be unique; in this case, only one combination
is displayed.
best(object, ...)
object |
An object of class |
... |
Currently unused argument. |
A list with elements equal to the number of different learningsets. Each element contains the best hyperparameter combination and the corresponding misclassification rate.
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
tune