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XGBoost-APSO Model Slashes Stock Prediction Errors to 0.2%
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XGBoost-APSO Model Slashes Stock Prediction Errors to 0.2%
In the dynamic and often unpredictable world of stock markets, accurate price predictions can be a game-changer for investors. A recent study published in the Indonesian journal “Statistical Media” has introduced a novel approach to stock price prediction that could significantly improve decision-making processes in the capital market. The research, led by Alya Mirza Safira from the Data Science… Source
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