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A Goal Programming-Based Methodology for Machine Learning Model Selection Decisions: A Predictive Maintenance Application

The paper develops a goal programming-based multi-criteria methodology, for assessing different machine learning (ML) regression models under accuracy and time efficiency criteria. The developed methodology provides users with high flexibility in assessing the models as it allows for a fast and comp...

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Principais autores: Ioannis Mallidis, Volha Yakavenka, Anastasios Konstantinidis, Nikolaos Sariannidis
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2021-09-01
סדרה:Mathematics
נושאים:
machine learning
goal programming
multi-criteria methodology
predictive maintenance
גישה מקוונת:https://www.mdpi.com/2227-7390/9/19/2405
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