Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations
Titel:
Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations
Auteur:
Daif, Noureddine Di Nunno, Fabio Granata, Francesco Difi, Salah Kisi, Ozgur Heddam, Salim Kim, Sungwon Adnan, Rana Muhammad Zounemat-Kermani, Mohammad
Verschenen in:
Stochastic environmental research and risk assessment