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Author

Guang-Tai Zhang

2 papers indexed here

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Conference Sep 2026

The impact of correlation-based feature engineering on ensemble model

Random Forest is a representative ensemble learning algorithm whose core concept lies in integrating multiple decision trees to enhance prediction accuracy and model stability. This study takes the Chinese stock market as the research background, selecting six representative stocks from the pharmaceutical and automotiv...

Jie-Cheng Li, Lei Yang, Jia-Jie Jin et al. · 0 citations
Sep 2026

Machine learning-driven financial time series forecasting: application of a feature engineering-enhanced RF model in A-share energy stocks

This study proposes a dual-path optimized RF framework for closing price forecasting of 6 A-share energy leaders, introducing a two-stage feature screening mechanism combining Spearman rank correlation and permutation feature importance, and further embed ensemble pruning to remove low-contribution sub-trees from the R...

Guang-Tai Zhang, Lei Yang, Cheng-Ying Fang · 0 citations

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