Research and Discussion on Comparative Prediction Models Based on XGBoost and Random Forest and Clustering Analysis

Author:

Peng Bo1,Zhao Jia2,Sun Yinuo2,Liu Yuhui3

Affiliation:

1. Qinghai University,Faculty of Energy and Electrical Engineering,Xining,China

2. School of Finance and Economics Qinghai University,Xining,China

3. School of Mathematics and Physics Qinghai University,Xining,China

Publisher

IEEE

Reference10 articles.

1. Comparison between credit score card based on XGBoost machine learning model and logistic regression model [J];Libin;Journal of South-Central University for Nationalities (Natural Science Edition),2023

2. Research on Enterprise Digital-Level Classification Based on XGBoost Model

3. Stock price prediction of stochastic forest model based on Pearson feature selection [J];Zhengxu;Computer Engineering and Application,2021

4. Research on Load Big Data Task Balanced Scheduling Based on Optimal K-means Clustering Algorithm [J];Yujia;Power Capacitor and Reactive Power Compensation,2022

5. Why do tree-based models still outperform deep learning on tabular data;Grinsztajn;arXiv preprint,2022

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