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Research Atlas

Machine Learning

Random Forest Explorer

Grow trees one at a time and watch the ensemble vote on flood risk. See feature importance stabilise as the forest grows.

DRYFLOODUpstr. area (km²)≤ 15.1DRYDRYSlope (%)≤ 1.1Soil drainage≤ 4.6FLOODDRYDRYUpstr. area (km²)≤ 5.6Upstr. area (km²)≤ 2.8Slope (%)≤ 4.0

Feature importance across 1 tree

Slope (%)
33%
Upstr. area (km²)
50%
Soil drainage
17%

Each tree trains on a bootstrap sample of 120 Bluewater Basin sites. The forest votes: a site is predicted flooded if the majority of trees say so. Feature importance shows which variables drive the most splits across all trees.