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Seasonal Flu Forecasting with XGBoost by deepak is a document available to read on EtoBox.

What is Seasonal Flu Forecasting with XGBoost about?

The research article investigates the use of the XGBoost machine learning model to improve the forecasting of seasonal influenza cases in Saudi Arabia for the years 2020 and 2021, comparing its performance against traditional ARIMA and SARIMA models. The findings indicate that the XGBoost model outperforms the others in terms of accuracy, as evidenced by lower MAE, RMSE values, and a higher R-squared value. This study highlights the potential of advanced machine learning techniques in enhancing public healt

Author

deepak

Language

EN