Cancellation Prediction for Flight Data Using Machine Learning

Abstract

An approach for reducing the effect of booking cancellation on airline industries is introduced. To mitigate the effects held by cancellation, airline industries applies rigorous cancellation policies and overbooking stratagem, which in turn can have a negative impact on companies revenue and on their reputation. For any service-based industry, selling the right product to the right customer at a right time is the key to generate revenue. Airline industry is an example of such type of industry which could get greatly benefit from knowing the right customer. Till now, there’s not as such system available which can predict about customer’s cancellation of booking. Right type of customers can be found by analyzing behavioral patterns in the booking data over a brief period of time. Identifying customers which might possibly cancel their bookings prior can be achieved by leveraging Machine Learning and Data Analytics techniques. Our goal is to design and implement a Machine Learning Classification model which will predict cancellation of a booking. We endeavor to achieve this goal by analyzing ticket booking data of a Domestic Indian airline with the help of data analysis techniques to find some interesting patterns in the dataset.