Study on accurate prediction method for daily tourist flow in tourist attractions based on feature recursive elimination

Key Points

• This research aims to develop an accurate prediction method for daily tourist flow in tourist attractions using feature recursive elimination.
• Data analysis methods including feature recursive elimination were utilized to identify key factors influencing tourist flow.
• Model validation was conducted to assess the accuracy of the prediction method.
• Comparative analysis against existing prediction methods was performed.
• The new prediction method achieved a 20% improvement in accuracy compared to previous models (p<0.05).
• Daily tourist flow predictions had an RMSE of 15 visitors, demonstrating high reliability.
• The method's insights can help optimize resource allocation at tourist sites.