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Partial Dependence Plot (PDP) Calculation on diabetes

0.02Running Time (s)scikit-learn
-0.08840.64331.3752.1067May 14, 2026

Evaluation results

MethodLinks
scikit-learnTask=Approx. PDP, k=5, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.02
scikit-learnTask=Exact PDP, k=5, Model=HistGradientBoostingRegressor, Number of trees=100, Hardware=Google Colab high-RAM CPU2026.050.25
FastPDTask=Any-Order-PDIVs, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.3
WOODELF++Task=Exact PDP, k=10, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.36
WOODELF++Task=Exact PDP, k=5, Model=HistGradientBoostingRegressor, Number of trees=100, Hardware=Google Colab high-RAM CPU2026.050.39
scikit-learnTask=Exact PDP, k=10, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.4
WOODELF++Task=Exact PDP, k=100, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.4
WOODELF++Task=Approx. PDP, k=5, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.4
WOODELF++Task=Exact full PDP, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.44
WOODELF++Task=Any-Order-PDIVs, Model=HistGradientBoostingRegressor, Number of trees=1002026.050.92
scikit-learnTask=Exact full PDP, Model=HistGradientBoostingRegressor, Number of trees=1002026.051.26
scikit-learnTask=Exact PDP, k=100, Model=HistGradientBoostingRegressor, Number of trees=1002026.052.73