Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches

Agricultural and Biological Sciences

• Support Vector Machine 100%
• Environmental Factor 100%
• Short-Term Memory 100%
• Soil Texture 50%
• Soil Depth 50%
• Land Use 50%

Earth and Planetary Sciences

• Machine Learning 100%
• South Korea 100%
• Support Vector Machine 50%
• Field Survey 25%
• Geology 25%
• Soil Texture 25%
• Land Use Type 25%
• Soil Drainage 25%
• Soil Depth 25%
• Regional Policy 25%