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Show best hyperparameter settings

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

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 martin.slawski@campus.lmu.de

Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix

See Also

tune


[Package CMA version 1.0.0 Index]