Fuel efficiency prediction of motor vehicles by using machine learning algorithms

Abstract

Nowadays the fuel prices are not stable in all over the world due to circumstances and uncontrollable economy. The car making companies are trying to make fuel economical cars for customers but the customer requirements are not fulfil. In this research paper the prediction of Mileage Per Gallon (PMG) of auto vehicle have been done by using different models. The Matlab regression learner app and weka tool are used for this purpose. The standard auto vehicle dataset is download from kaggle. This dataset consists of 400 different car models and their performance parameters. Data preprocessing have done initially and different algorithms are used for data training. The accuracy and errors are computed in tabular form for better understating and analysis of models. The performance parameters such as mean square error, root mean square error are tested on the dataset.