I have dataset (numeric values from 30 th number raster brick and some classes for every pixel. (class value was taken from RF classification result)). Well I know how to calculate importance of features by sklearn or R, but no have idea how get this: I wish to plot how OOB error grows with grow of numbers of features (number of raster in my stack).


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