BUILD AN MACHINE LEARNING MODEL FOR PREDICTION FLIGHT DELAYS WITH ERROR CALCULATION

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