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IEEE/ICACT20250097 Slide.06        [Big Slide]	Oral Presentation
	We analyzed both traditional and machine learning models for economic forecasting: Traditional Models such as ARIMA and Linear Regression. Machine Learning Models such as Random Forest, XGBoost, LSTM, and SVM. To evaluate model performance, we used the following metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (RŠ÷). Now, letĄ¯s briefly discuss each model.

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