UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2109009


Registration ID:
314636

Page Number

a48-a51

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Title

Predicting Flight Delays with Error Calculation using Machine Learning Models

Authors

Abstract

Delay in the flights is a major issue in the aviation sector. Much of the flight delays are due to the significant rise in the air traffic congestion. Flight delays potentially lead to huge loss for the aviation sector. Hence, it becomes essential to prevent or avoid the delays and cancellations of flight. In the current work, a delay or not in any particular flight is predicted using machine learning models such as Logistic Regression, Decision Tree Regression, Bayesian Ridge, Random Forest Regression and Gradient Boosting Regression.

Key Words

Flight Prediction, Machine Learning, Error Calculation, Logistic Regression, Decision Tree, Bayesian Ridge, Random Forest, Gradient Boosting, Logistic Regression, U.S. Flight data.

Cite This Article

"Predicting Flight Delays with Error Calculation using Machine Learning Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.a48-a51, September-2021, Available :http://www.jetir.org/papers/JETIR2109009.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Predicting Flight Delays with Error Calculation using Machine Learning Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppa48-a51, September-2021, Available at : http://www.jetir.org/papers/JETIR2109009.pdf

Publication Details

Published Paper ID: JETIR2109009
Registration ID: 314636
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier):
Page No: a48-a51
Country: Godavari, Near GAIL OFFICE, Rajamundry, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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