Interpretable Airfare Prediction Using Random Forests: Seasonal Variation, Statistical Testing, and a Structured Prediction Workflow

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Publication Details

Journal
Journal of Data Science and Intelligent Systems
Published
2026-10-26
DOI
https://doi.org/10.47852/bonviewjdsis62028502
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
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Interpretable Airfare Prediction Using Random Forests: Seasonal Variation, Statistical Testing, and a Structured Prediction Workflow

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Interpretable Airfare Prediction Using Random Forests: Seasonal Variation, Statistical Testing, and a Structured Prediction Workflow

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Abstract

No abstract available for this paper.
Journal of Data Science and Intelligent Systems
York St John University (GB), Skanska (United Kingdom) (GB)
Openalex Percentile: Top 6%
Aviation Industry Analysis and Trends
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