This project exploys SHAP explainability to identify influential features, and assess the consistency of demand forecasting models. The project is focused on global explainability and uses both model-specific and model-agnostic explainers.
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b-fatma/xai-demand-forecasting-models
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Application of model-specific and model-agnostic SHAP explainability on demand forecasting models (Random forest and KNN).