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
.
friedmanTestBMR(bmr, measure = NULL, aggregation = "default")
BenchmarkResult
]
Benchmark result.Measure
]
Performance measure.
Default is the first measure used in the benchmark experiment.character(1)
]
mean or default. See getBMRAggrPerformances
for details on default.htest
]: See friedman.test
for details.
BenchmarkResult
,
benchmark
,
convertBMRToRankMatrix
,
friedmanPostHocTestBMR
,
generateCritDifferencesData
,
getBMRAggrPerformances
,
getBMRFeatSelResults
,
getBMRFilteredFeatures
,
getBMRLearnerIds
,
getBMRLearnerShortNames
,
getBMRLearners
,
getBMRMeasureIds
,
getBMRMeasures
, getBMRModels
,
getBMRPerformances
,
getBMRPredictions
,
getBMRTaskIds
,
getBMRTuneResults
,
plotBMRBoxplots
,
plotBMRRanksAsBarChart
,
plotBMRSummary
,
plotCritDifferences