Application of the linear regression method to predict vehicle fuel consumption
Journal Title: Modern Innovations, Systems and Technologies - Year 2024, Vol 4, Issue 2
Abstract
This article discusses the use of machine learning to predict vehicle fuel consumption. Linear regression is used for this task. The stages of data preparation are described, including data processing and elimination of omissions, as well as the processes of training and testing the model. The data was analyzed and a visualization of the correlation heat map was built. A linear regression model is constructed based on the features that affect the fuel consumption of the car. The effectiveness of the model was evaluated using the RMSE and R2 metrics. The main attention is paid to the practical application of the model for predicting fuel consumption based on real data.
Authors and Affiliations
M. A. Zuev, V. M. Shibaev, K. S. Balanev
Keywords
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- EP ID EP755347
- DOI 10.47813/2782-2818-2024-4-2-0298-0305
- Views 22
- Downloads 0
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