A Comparative Analysis of XGBoost Model and AdaBoost Regressor for Prediction of Used Car Price

S. Naveen Reddy, S. Kumar

2023

Abstract

This study primarily aimed to estimate used car prices using the XGBoost Regressor to enhance accuracy in relation to vehicle data and benchmark this against the AdaBoost Regressor. The proposed methodology assessed the XGBoost and AdaBoost Regressor algorithms, represented by 10 samples split into two sets. This assessment employed an 80% Gpower and a 95% confidence interval. It emerged that the Novel XGBoost Regressor achieved an accuracy of 87.74%, surpassing the AdaBoost Regressor's 84.31%. Furthermore, SPSS statistical analysis confirmed the significance of both algorithms with p=0.000 (p<0.05). Ultimately, the results highlight the superior accuracy of the Novel XGBoost Regressor over the AdaBoost Regressor in predicting used car prices.

Paper Citation

in Harvard Style

Reddy S. and Kumar S. (2023). A Comparative Analysis of XGBoost Model and AdaBoost Regressor for Prediction of Used Car Price . In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 441-446. DOI: 10.5220/0012510700003739

in Bibtex Style

@conference{ai4iot23,
author={S. Naveen Reddy and S. Kumar},
title={A Comparative Analysis of XGBoost Model and AdaBoost Regressor for Prediction of Used Car Price },
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={441-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012510700003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - A Comparative Analysis of XGBoost Model and AdaBoost Regressor for Prediction of Used Car Price
SN - 978-989-758-661-3
AU - Reddy S.
AU - Kumar S.
PY - 2023
SP - 441
EP - 446
DO - 10.5220/0012510700003739
PB - SciTePress