INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Accurately predicting flight delays is fundamental to building a more efficient airline business. An airline's core business is customer satisfaction. Our forecasts are critically important in the decision-making process of all civil aviation stakeholders. Bad weather, mechanical reasons and delayed arrival of the aircraft at the point of origin cause flight delays and customer dissatisfaction. Using flight data and weather data, we propose a prediction model for on-time arrival flights. This project uses machine learning models such as decision tree regression, Bayesian Ridge, random forest regression, and gradient boosting regression to predict whether a particular flight will arrive late.
Keywords:
Decision tree regression, Bayesian Ridge, Random forest regression, Gradient Boosting regression.
Cite Article:
"Flight Delay Prediction With Error Calculation", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b84-b94, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301112.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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