A case study comparing XGBoost intrinsic feature importances, partial dependence, ALE, and SHAP for a district heating heat demand forecasting model.
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On the global feature importance for interpretable and trustworthy heat demand forecasting
A case study comparing XGBoost intrinsic feature importances, partial dependence, ALE, and SHAP for a district heating heat demand forecasting model.