getMultilabelBinaryPerformances: Retrieve binary classification measures for multilabel...

In riebetob/mlr: Machine Learning in R

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

# see makeMultilabelBinaryRelevanceWrapper

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.