Taking off with Accuracy: A Comparative Study...

Taking off with Accuracy: A Comparative Study of Machine Learning Classifiers for Flight Delay Prediction

Author Name : Dr. M. Saraswathi, T. Jayashri, E. Surekha

DOI: https://doi.org/10.56025/IJARESM.2023.115231193

ABSTRACT

Accurate flight detention vaticination is abecedarian to establish the more effective airline business. An important business of airlines is to get client satisfaction. Their vaticination is pivotal during the decision-making process for all players of marketable aeronautics. Due to bad rainfall, a mechanical reason, and the late appearance of the aircraft to the point of departure, breakouts detention and lead to client dissatisfaction. A prophetic model of on- time appearance flight is proposed with using flight data and rainfall data. In this paper, using machine literacy models similar as Decision Tree Retrogression, Bayesian Ridge, Random Forest Regression and Gradient Boosting Retrogression we prognosticate whether the appearance of a particular flight will be delayed or not.

Index Terms - Vatic nation, Detention, Client, Airline, Aircraft, Marketable Aeronautics, Machine Literacy Models.