Dear all,
I am quiet new to {0,1} classification problems.
I have an unbalanced dataset and and I am using a RandomForestMethod on it.
To evaluate the performances of my estimator I am using the cross_val_score
function with the roc_auc metric.
My understanding is that to deal with unbalanced problem I can pass the
argument sample_weight to the random forest estimator.
I do not understand if I should pass the sample_weight parameters also in
this case or if this will bias the result obtained with roc_auc
Is there any common way to do that? Have you any advice?
Thanks a lot!
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