Performance Analysis of CatBoost Algorithm and XGBoost Algorithm for Prediction of CO<sub>2</sub>Emission Rating-Reference-Cited by-同舟云学术

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Performance Analysis of CatBoost Algorithm and XGBoost Algorithm for Prediction of CO₂Emission Rating

Published:2023-09-14 Issue: Volume: Page:1497-1501
ISSN:
Container-title:2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
language:
Short-container-title:

Author:

Kumar G Sandeep¹,Dhanalakshmi R²

Affiliation:

1. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

2. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University,Department of Machine Learning,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10397581/10397594/10398160.pdf?arnumber=10398160

Reference13 articles.

1. Analytic Modeling of Vehicle Fuel Consumption

2. Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty Vehicles

3. The Prediction of Carbon Emission Information in Yangtze River Economic Zone by Deep Learning

4. A novel GDP prediction technique based on transfer learning using CO2 emission dataset

5. Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai

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