| 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