SelectResult {ClassifyR} | R Documentation

## Container for Storing Feature Selection Results

### Description

Contains a list of ranked feature identifiers, from most discriminative to least discriminative, and a list of feature identifiers selected for use in classification. The names or indices will be in a data frame if the input data set is a `MultiAssayExperiment`, with the first column containing the name of the data table the feature is from and the second column the index or name of the feature. Each vector or data frame element in the list corresponds to a particular iteration of classifier training. Nested lists will be present if the permutation and folding cross-validation scheme was used. This class is not intended to be created by the user, but could be used in another software package.

### Constructor

  `SelectResult(datasetName, selectionName, rankedFeatures, chosenFeatures)`

`datasetName`

  A name associated with the data set used.

`selectionName`

  A name associated with the classification.

`rankedFeatures`

  Identifiers of all features, from most to least discriminative.

`chosenFeatures`

  Identifiers of features selected at each fold.

### Summary

A method which summarises the results is available. `result` is a `SelectResult` object.

  `show(result)` Prints a short summary of what `result` contains.

### Author(s)

Dario Strbenac

### Examples

        SelectResult("Asthma", "Moderated t-test", list(1:50), list(1:10))

[Package ClassifyR version 2.0.10 Index]