Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions
- Title
- Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions
- Creator
- Joshy L.A.; Sambandam R.K.; Vetriveeran D.; Jenefa J.
- Description
- Precise measurement of fuel consumption and emissions plays an important role in evaluating the environmental effects of materials and stringent emission control methods, especially within the transportation sector. This sector represents a substantial contributor to both global greenhouse gas emissions and the release of hazardous pollutants, making accurate assessment imperative for addressing climate change. The primary objective is to construct accurate predictive models that estimate CO2 emissions based on vehicle attributes, fostering a deeper understanding of the environmental impact of vehicular activities. Leveraging the 'CO2 Emissions-Canada.csv' dataset, the paper embarks on an extensive journey of data preprocessing, exploratory data analysis, and model training. These algorithms are meticulously fine-tuned and evaluated through metrics such as R-squared and mean absolute percentage error, rendering insights into their predictive accuracies. In essence, this paper pioneers a pathway towards environmentally responsible mobility solutions, capitalizing on the fusion of data science and environmental conservation. 2024 Bharati Vidyapeeth, New Delhi.
- Source
- Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024, pp. 444-448.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- CO2; Emission Control; k-NN; Machine Learning; Random Forest
- Coverage
- Joshy L.A., Christ (Deemed to Be University), Dept. of Cse, Kengeri Campus, Bengaluru, India; Sambandam R.K., Christ (Deemed to Be University), Dept. of Cse, Kengeri Campus, Bengaluru, India; Vetriveeran D., Christ (Deemed to Be University), Dept. of Cse, Kengeri Campus, Bengaluru, India; Jenefa J., Christ (Deemed to Be University), Dept. of Cse, Kengeri Campus, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-938054451-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Joshy L.A.; Sambandam R.K.; Vetriveeran D.; Jenefa J., “Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19482.