Computes a matrix of all the ranks of different algorithms over different datasets (tasks). Ranks are computed from aggregated measures. Smaller ranks imply better methods, so for measures that are minimized, small ranks imply small scores. for measures that are maximized, small ranks imply large scores.
convertBMRToRankMatrix(bmr, measure = NULL, ties.method = "average", aggregation = "default")
(matrix) with measure ranks as entries.
The matrix has one row for each
learner, and one column for each
# see benchmark