Hi, I have binary output y where class 0 has much more samples than class 1. I am trying to understand the importance of each predictor.
I do not know if the class weights should be used or not when the tree is trained i.e. etw = ExtraTreesClassifier(n_estimators=n_estimators, max_depth = 5, class_weight='auto') or et = ExtraTreesClassifier(n_estimators=n_estimators, max_depth = 5) Is there a preferred option or some literature about this ? Thanks, Luca -- Sent by mobile phone
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