Description Usage Arguments Value Author(s) See Also
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.
1 |
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
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