friedmanTestBMR: Perform overall Friedman test for a BenchmarkResult.

Description Usage Arguments Value See Also Examples

View source: R/friedmanTestBMR.R

Description

Performs a friedman.test for a selected measure. The null hypothesis is that apart from an effect of the different [Task], the location parameter (aggregated performance measure) is the same for each Learner. Note that benchmark results for at least two learners on at least two tasks are required.

Usage

1
friedmanTestBMR(bmr, measure = NULL, aggregation = "default")

Arguments

bmr

[BenchmarkResult]
Benchmark result.

measure

[Measure]
Performance measure. Default is the first measure used in the benchmark experiment.

aggregation

[character(1)]
“mean” or “default”. See getBMRAggrPerformances for details on “default”.

Value

[htest]: See friedman.test for details.

See Also

Other benchmark: BenchmarkResult, batchmark, benchmark, convertBMRToRankMatrix, friedmanPostHocTestBMR, generateCritDifferencesData, getBMRAggrPerformances, getBMRFeatSelResults, getBMRFilteredFeatures, getBMRLearnerIds, getBMRLearnerShortNames, getBMRLearners, getBMRMeasureIds, getBMRMeasures, getBMRModels, getBMRPerformances, getBMRPredictions, getBMRTaskDescs, getBMRTaskIds, getBMRTuneResults, plotBMRBoxplots, plotBMRRanksAsBarChart, plotBMRSummary, plotCritDifferences, reduceBatchmarkResults

Examples

1
# see benchmark

berndbischl/mlr documentation built on Dec. 15, 2017, 8:35 p.m.