Container for results of feature selection. Contains the
  obtained features, their performance values and the
  optimization path which lead there.

FeatSelResult

Interface to a large number of classification and
        regression techniques, including machine-readable parameter
        descriptions. Generic resampling, including cross-validation,
        bootstrapping and subsampling. Hyperparameter tuning with
        modern optimization techniques. Filter and wrapper methods for
        feature selection. Extension of basic learners with additional
        operations. Nested resampling.

FeatSelResult: Result of feature selection.

Description

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Details