Dear community,
Is there a hope that random forest with different misclassification cost
will be implemented in scikit-learn? I mean different cost for false
positives and false negatives. Like this:
http://stats.stackexchange.com/questions/18938/how-to-make-a-randomforest-algorithm-cost-sensitive
I'm quite new to machine learning, so may be there's some simple trick to
implement different cost using existing methods?
Maksym
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