selection-class: Feature selection
In fdm2id: Data Mining and R Programming for Beginners

selection-class

R Documentation

Feature selection

Description

This class contains the result of feature selection algorithms.

Details

Objects of this class are plain lists with the following components:

selection: A vector of integers indicating the selected features.
features: The names of the selected features, when the dataset had column names.
unieval: The evaluation of the features (univariate).
multieval: The evaluation of the selected features (multivariate).
algorithm: The algorithm used to select features.
univariate: The evaluation criterion (univariate).
nbfeatures: The number of features to be kept.
threshold: The threshold to decide whether a feature is kept or not.
multivariate: The evaluation criterion (multivariate).
dataset: The dataset described by the selected features only.
model: The classification model.

See Also

FEATURESELECTION, predict.selection, selectfeatures

fdm2id documentation built on Aug. 28, 2026, 9:07 a.m.

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Clustering: earthquakes in Fiji Clustering: wheat varieties Discriminant analysis: the lumbar spine Ensemble methods: the ionosphere Feature selection: crabs Linear regression: Scottish hill races Principal component analysis: breast tumours Visualisation: cars from three continents

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