Preparation of flood potential maps using machine learning and comparison of their performance

Key Points

• Mapping techniques demonstrate varying levels of accuracy in predicting flood potential.
• Performance comparison reveals significant differences between traditional and machine learning methods.
• Machine learning offers improved predictive modeling for flood risk assessment, reducing uncertainty in flood maps.
• Evaluation methods suggest ways to enhance the reliability and usability of flood potential maps.