Prediction of Aviation Accidents using Logistic Regression Model

Aircraft engine and airplanes are highly reliable, that it is nearly impossible that a pilot may experience any airplane causality in his job carrier. Aircraft crashes only occur due human negligence. Sensors and control systems are installed on an airplane to give information about each and every component. Data generated and collected for various causes of accidents can be analysed and used for prediction of any situation which can cause and incident or accident. In this paper we have proposed and general linear model to predict the possible accident, using various input parameters taken from aviation data. Logistic Regression model is applied on the data and prediction analysis is done. The results of the proposed model are very stimulating in terms of predictive analysis.