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What is Machine Learning for Economic Forecasting about?

Machine learning has shown strong performance in economic and financial forecasting, with 19 techniques achieving significant accuracy across ten studies. Notable findings include Naive Bayes achieving 91-96% accuracy in insolvency prediction and LSTM models having a relative error of less than 1% in tax revenue forecasts. The studies highlighted the importance of careful feature selection and the use of ensemble methods to enhance prediction accuracy.

Author

Teodoro Macaia

Language

EN