PREDICTING FLIGHT DELAYS WITH ERROR CALCULATION USING MACHINE LEARNING CLASSIFIERS

Flight delay is a major problem in the aviation sector. During the last two decades, the growth of theaviation sector has caused air traffic congestion, which has caused flight delays. Flight delays result notonly in the loss of fortune also negatively impact the environment. Flight delays also cause significantlosses for airlines operating commercial flights. Therefore, they do everything possible in the prevention oravoidance of delays and cancellations of flights by taking some measures. In this paper, using machinelearning models such as Logistic Regression, Decision Tree Regression, Bayesian Ridge, Random ForestRegression and Gradient Boosting Regression we predict whether the arrival of a particular flight will bedelayed or not.