plotBMRRanksAsBarChart {mlr} | R Documentation |
Create a bar chart for ranks in a BenchmarkResult.
Description
Plots a bar chart from the ranks of algorithms. Alternatively,
tiles can be plotted for every rank-task combination, see pos
for details. In all plot variants the ranks of the learning algorithms are displayed on
the x-axis. Areas are always colored according to the learner.id
.
Usage
plotBMRRanksAsBarChart(
bmr,
measure = NULL,
ties.method = "average",
aggregation = "default",
pos = "stack",
order.lrns = NULL,
order.tsks = NULL,
pretty.names = TRUE
)
Arguments
bmr |
(BenchmarkResult) |
measure |
(Measure) |
ties.method |
( |
aggregation |
( |
pos |
( |
order.lrns |
( |
order.tsks |
( |
pretty.names |
( |
Value
ggplot2 plot object.
See Also
Other plot:
createSpatialResamplingPlots()
,
plotBMRBoxplots()
,
plotBMRSummary()
,
plotCalibration()
,
plotCritDifferences()
,
plotLearningCurve()
,
plotPartialDependence()
,
plotROCCurves()
,
plotResiduals()
,
plotThreshVsPerf()
Other benchmark:
BenchmarkResult
,
batchmark()
,
benchmark()
,
convertBMRToRankMatrix()
,
friedmanPostHocTestBMR()
,
friedmanTestBMR()
,
generateCritDifferencesData()
,
getBMRAggrPerformances()
,
getBMRFeatSelResults()
,
getBMRFilteredFeatures()
,
getBMRLearnerIds()
,
getBMRLearnerShortNames()
,
getBMRLearners()
,
getBMRMeasureIds()
,
getBMRMeasures()
,
getBMRModels()
,
getBMRPerformances()
,
getBMRPredictions()
,
getBMRTaskDescs()
,
getBMRTaskIds()
,
getBMRTuneResults()
,
plotBMRBoxplots()
,
plotBMRSummary()
,
plotCritDifferences()
,
reduceBatchmarkResults()
Examples
# see benchmark