A CASE STUDY ON CAR EVALUATION AND PREDICTION: COMPARATIVE ANALYSIS USING MACHINE LEARNING

Abstract

At the point while we decide to buy a new car, then we think about aspects of car. Because there are different selection criteria for buying a car such as price, maintenance, safety, seat, luggage and type .we applied various machine learning algorithms for classification model to my car evaluation data set .The model created with the training dataset has been evaluated with the standard metrics such as accuracy, precision and recall. My experiment results show that decision tree algorithms are the most suitable kind of dataset for the car evaluation dataset.