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Alvarez-Jareño, J.; Pavía, J. (2016). Weighting machine learning solutions by economic and institutional context for decision making. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 23-30. https://doi.org/10.4995/CARMA2016.2015.4245
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84785
Título: | Weighting machine learning solutions by economic and institutional context for decision making | |
Autor: | Alvarez-Jareño, Jose Pavía, Jose | |
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[EN] It is quite common that machine learning approaches reach high accuracy
forecast rates in imbalanced datasets. However, the results in the category
with few instances are usually low. This paper seeks to improve the ...[+]
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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/CARMA2016/paper/view/4245 | |
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