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I am working with remote sensing data where random forest is used to classify data. I identify known samples of pixels (forest, water, urban areas) and pass these areas to random forest (RF). Then the algorithm classifies the whole hyperspectral image based on my training areas.
Sorry. How Can a variable decide which branch to follow? that means, there are many branches, and in the end, I only follow one branch? I thought RF creates many many trees and in the end each trees casts a vote what class it could be? How can you follow a branch there?
