Abstract :

Predicting Flight Delays Accurately Is Essential To Creating A More Effective Airline Industry. Ensuring Client Happiness Is A Crucial Aspect Of Airline Operations. For All Parties Involved In Commercial Aviation, Their Forecast Is Essential When Making Decisions. Flights Are Delayed And Cause Consumer Displeasure Because Of Inclement Weather, Mechanical Issues, And The Aircrafts Delayed Arrival At The Departure Location. Using Flight And Meteorological Data, A Prediction Model For On-time Arrival Flights Is Suggested. In This Work, We Forecast Whether Or Not A Specific Flight Will Arrive Late Using Machine Learning Models Including Decision Tree Regression, Random Forest Regression, And Gradient Boosting Regression And Adaboost

Published:

24-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1228-1233

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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