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IEEE/ICACT20250097 Slide.03        [Big Slide]	Oral Presentation
	Accurate forecasting of macroeconomic indicators, such as GDP, inflation, unemployment rate, and exchange rate, is crucial for policy planning and economic decision-making. Traditional models like ARIMA have been widely used, but they struggle to handle nonlinear and complex economic data. With the rise of machine learning, new opportunities have emerged to improve forecasting accuracy. Our study investigates the effectiveness of machine learning models in predicting macroeconomic indicators and compares them with traditional approaches.

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