In recent days, there have been more flight delays. During the present domestic airline crisis in the United States, there have been several flight delays and cancellations. Depending on the number of destinations it serves, American Airlines has long been regarded as one of the most reliable and significant airlines in the United States. In terms of punctuality, the airlines did not perform as expected. Flight delays are quite expensive for airline companies. As a result, they are taking extra precautions to reduce flight delays and cancellations as much as possible. In order to forecast aeroplane arrival delays, this study analyses flight data from three of New York City’s largest airports. The Gradient Boosting Classifier Model is deployed by training and hyperparameter tuning using Grid Search and Randomized Search. The accuracy gained before parameter adjustment is 72%. After parameter tuning the accuracy obtained is 73% using Grid Search, and 74% using Randomized Search. The passengers will find such a system quite helpful in planning their travel.
Flight Delay Prediction using Machine Learning Model
25.11.2022
688817 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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