hopedallas OP t1_j0c0eui wrote on December 15, 2022 at 3:34 PM Reply to comment by skelly0311 in [D] Dealing with extremely imbalanced dataset by hopedallas Im using both random forest and xgboost. For your NLP problem, you give higher weighs for each epoch to the sparse classes? Permalink Parent 1
hopedallas OP t1_j0ailbn wrote on December 15, 2022 at 6:04 AM Reply to comment by Far-Butterscotch-436 in [D] Dealing with extremely imbalanced dataset by hopedallas Thanks for the hint. Sorry not sure what you mean by “try for 10%”? Permalink Parent 2
[D] Dealing with extremely imbalanced dataset Submitted by hopedallas t3_zmaobm on December 15, 2022 at 3:17 AM in MachineLearning 14 comments 20
hopedallas OP t1_j0c0eui wrote
Reply to comment by skelly0311 in [D] Dealing with extremely imbalanced dataset by hopedallas
Im using both random forest and xgboost. For your NLP problem, you give higher weighs for each epoch to the sparse classes?