mlr (version 2.6)

convertBMRToRankMatrix: Convert BenchmarkResult to a rank-matrix.

Description

Computes a matrix of all the ranks of different algorithms over different datasets (tasks). Ranks are computed from aggregated measures.

Usage

convertBMRToRankMatrix(bmr, measure = NULL, ties.method = "average",
  aggregation = "default")

Value

[matrix] Matrix, with measure ranks as entries. The matrix has one row for each learner, and one column for each task.

See Also

Other benchmark: BenchmarkResult, benchmark, friedmanPostHocTestBMR, friedmanTestBMR, generateBenchmarkSummaryData, generateCritDifferencesData, generateRankMatrixAsBarData, getBMRAggrPerformances, getBMRFeatSelResults, getBMRFilteredFeatures, getBMRLearnerIds, getBMRLearners, getBMRMeasureIds, getBMRMeasures, getBMRPerformances, getBMRPredictions, getBMRTaskIds, getBMRTuneResults, plotBenchmarkResult, plotBenchmarkSummary, plotCritDifferences, plotRankMatrixAsBar

Examples

# see benchmark
# convertBMRToRankMatrix(res, acc)