mlr (version 2.17.0)

getMultilabelBinaryPerformances: Retrieve binary classification measures for multilabel classification predictions.

Description

Measures the quality of each binary label prediction w.r.t. some binary classification performance measure.

Usage

getMultilabelBinaryPerformances(pred, measures)

Arguments

pred

(Prediction) Multilabel Prediction object.

measures

(Measure | list of Measure) Performance measure(s) to evaluate, must be applicable to binary classification performance. Default is mmce.

Value

(named matrix). Performance value(s), column names are measure(s), row names are labels.

See Also

Other multilabel: makeMultilabelBinaryRelevanceWrapper(), makeMultilabelClassifierChainsWrapper(), makeMultilabelDBRWrapper(), makeMultilabelNestedStackingWrapper(), makeMultilabelStackingWrapper()

Examples

# NOT RUN {
# see makeMultilabelBinaryRelevanceWrapper
# }