A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction
This paper compares Statistical and Intelligent classification models in predicting passenger satisfaction with airlines. It seeks to identify the most accurate and reliable model amongst GLM, Robust Regression, MARS, KNN and Neural Networks. Methodology. These models were analyzed using a set of pe...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825001358 |
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