The scenario
A GIS analyst needs to map riverbank erosion susceptibility by training a Random Forest classifier on multiple environmental layers and validating the output.
What is in this drawing
Read the decisions behind it.
01
Choose to proceed with Random Forest after preprocessing GIS layers
02
Loop back for hyperparameter tuning or feature adjustment when performance is insufficient
03
Finalize only after field validation and expert review
Use when automating erosion susceptibility mapping with supervised classification, especially with raster GIS inputs and a need for iterative model improvement.
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