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 tuningresult . |
... |
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 martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix
tune