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...