An experimental study on 45 ordinal datasets finds Ordinal Gini the strongest splitting criterion among those tested, lowering MAE by over 3.02% versus nominal Gini.
Tutz, Ordinal trees and random forests: Score-free recursive partitioning and improved ensembles, Journal of Classification 39 (2) (2022) 241–263
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Splitting criteria for ordinal decision trees: an experimental study
An experimental study on 45 ordinal datasets finds Ordinal Gini the strongest splitting criterion among those tested, lowering MAE by over 3.02% versus nominal Gini.