Creates a measure for non-standard misclassification
  costs.

makeCostMeasure

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.

makeCostMeasure: Creates a measure for non-standard misclassification costs.

Description

Usage

Arguments

Value

See Also