Comparing The Performance of the Multiple Linear Regression Classic Method and Modern Data Mining Methods in Annual Rainfall Modeling (Case Study: Ahvaz City)

Puntos clave

• Rainfall modeling reveals modern data mining methods offer superior accuracy compared to traditional models.
• The analysis shows a significant improvement of up to 25% in prediction accuracy using advanced methods.
• Assessment includes multiple linear regression and machine learning techniques over 10 years of rainfall data.
• Findings suggest a shift towards integrating modern data mining in climate prediction methodologies.