[Scikit-learn-general] Influence of weights in extra trees classifiers importance

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, cla

Re: [Scikit-learn-general] Influence of weights in extra trees classifiers importance

Hm, best practices for dealing with class imbalances are (still) a tricky business I think. Typically, you see people using different sample techniques to shift the bias towards the minority class (most often by oversampling). I think the class weight in scikit-learn's has a (very) similar effe