Multicriteria approaches for predictive model generation: A comparative experimental study

This study investigates the evaluation of machine learning models based on multiple criteria. The criteria included are: predictive model accuracy, model complexity, and algorithmic complexity (related to the learning/adaptation algorithm and prediction delivery) captured by monitoring the execution...

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Veröffentlicht in:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) S. 64 - 71
Hauptverfasser:	Al-Jubouri, Bassma, Gabrys, Bogdan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2014
Schlagworte:	Accuracy Artificial neural networks Complexity theory Mathematical model Optimization Prediction algorithms Predictive models
Online-Zugang:	Volltext
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