best: Show best hyperparameter settings

Description Usage Arguments Value Author(s) See Also

Description

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.

Usage

1
best(object, ...)

Arguments

object

An object of class tuningresult.

...

Currently unused argument.

Value

A list with elements equal to the number of different learningsets. Each element contains the best hyperparameter combination and the corresponding misclassification rate.

Author(s)

Martin Slawski ms@cs.uni-sb.de

Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de

See Also

tune


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