Abstract
we have planned to create a model to predict fuel efficiency of various kinds of vehicles through several stages. This model includes metaphors of various different cars from different periods. This metaphors consists of the following things such as cylinders, displacement, horse power, and weight .we have taken a datasets related to this work from kaggle .The machine learning algorithm is appropriate one for this type of analysis to learn patterns and design models from them for predicting fuel efficiency Decision Tree, Random Forest, linear regression,K-nearest neighbor used to produce less error with improved efficiency and the algorithm are compared
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