FeatSelResult
s. The first level of nesting is by data set, the second by learner, the third for the benchmark resampling iterations. If as.df
is TRUE
, a data frame with “task.id”, “learner.id”, the resample iteration and the selected features is returned. Note that if more than one feature is selected and a data frame is requested, there will be multiple rows for the same dataset-learner-iteration; one for each selected feature.getBMRFeatSelResults(bmr, task.ids = NULL, learner.ids = NULL,
as.df = FALSE)
BenchmarkResult
]
Benchmark result.character(1)
]
Restrict result to certain tasks.
Default is all.character(1)
]
Restrict result to certain learners.
Default is all.character(1)
]
Return one data.frame as result - or a list of lists of objects?.
Default is FALSE
.list
| data.frame
]. See above.BenchmarkResult
,
benchmark
,
convertBMRToRankMatrix
,
friedmanPostHocTestBMR
,
friedmanTestBMR
,
generateCritDifferencesData
,
getBMRAggrPerformances
,
getBMRFilteredFeatures
,
getBMRLearnerIds
,
getBMRLearnerShortNames
,
getBMRLearners
,
getBMRMeasureIds
,
getBMRMeasures
, getBMRModels
,
getBMRPerformances
,
getBMRPredictions
,
getBMRTaskDescriptions
,
getBMRTaskIds
,
getBMRTuneResults
,
plotBMRBoxplots
,
plotBMRRanksAsBarChart
,
plotBMRSummary
,
plotCritDifferences