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.
Machine Learning 1(1):81–106
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A practical guide that organizes seven IT measures around three questions each—what it answers in AI, suitable estimators, and dangerous misuses—complete with flowchart, table, and worked examples.
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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.
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Information-Theoretic Measures in AI: A Practical Decision Guide
A practical guide that organizes seven IT measures around three questions each—what it answers in AI, suitable estimators, and dangerous misuses—complete with flowchart, table, and worked examples.