The New Advanced Society

10Car Buying Criteria Evaluation Using Machine Learning Approach

Samdeep Kumar Panda

IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad, India

Abstract

People in modern world are looking for a lifestyle that is fast and easy. In the field of transportation, people have invented cars and these cars are almost seen to be owned by everyone and one is trying to purchase one. Each of these cars has different features and based on these features, people try to analyze the move towards purchasing it. Hence, in this research work, the author builds a classification model that classifies whether a customer is going to buy a car with specific features. This research work is consisting of four machine learning models with their result analysis. These classifying models are Gaussian Naïve Bayes, Decision Tree, Karnough Nearest Neighbors and Neural Networks. We also try finding the best hyper-parameter value to obtain the best result from these models. These results are used to compare the accuracies of every model and decide the best model to be used in real time prediction. Here, the author was predicting whether a customer is going to buy a car or not buy a car with particular features available in it. Hence, for this prediction the best accuracy we get is 97.4% which is given by Decision Tree classifier. Also, the neural network gives around same accuracy for the prediction. Therefore, this Machine Learning model can be used by the firm whether ...