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Buckmann, M.; Joseph, A. (2022). An interpretable machine learning workflow with an application to economic forecasting. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 275-275. http://hdl.handle.net/10251/189761
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Título: | An interpretable machine learning workflow with an application to economic forecasting | |
Autor: | Buckmann, Marcus Joseph, Andreas | |
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[EN] We propose a generic workflow for the use of machine learning models to inform decision making and to communicate modelling results with stakeholders. It involves three steps: (1) a comparative model evaluation, (2) ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15781 | |
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