Due to the fierce competition in the saturated market in the aviation industry, Airline companies place more emphasis on the customer retention. In order to maximise the retention rate, the optimization of customer satisfaction plays a central role in further success in the foreseeable future.

The aim of this study is to create the customer satisfaction prediction model of American aviation company from Kaggle dataset by applying Naïve Bayes and Random forest classifiers

Original dataset from Kaggle can be found in https://www.kaggle.com/teejmahal20/airline-passenger-satisfaction