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edit approved Aug 22, 2017 at 14:03

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From this post, I know that you can set scale_pos_weightscale_pos_weight for an imbalanced dataset. However However, How to deal withfor the multi-classification problem in the imbalanced dataset.

, I have gone through Unbalanced multiclass data with XGBoost but don't quite understand how to set the weight parameter in Dmatrixdmatrix.

Can anyone please explainHow can I use XGBoost for an imbalanced dataset in detaila multi-classification problem?

I know that you can set scale_pos_weight for an imbalanced dataset. However, How to deal with the multi-classification problem in the imbalanced dataset.

I have gone through Unbalanced multiclass data with XGBoost but don't quite understand how to set weight parameter in Dmatrix.

Can anyone please explain in detail?

From this post, I know you can set scale_pos_weight for an imbalanced dataset. However, for the multi-classification problem in the imbalanced dataset, I don't quite understand how to set the weight parameter in dmatrix.

How can I use XGBoost for an imbalanced dataset in a multi-classification problem?

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asked Aug 22, 2017 at 13:09

Abhishek Niranjan

How to set weights in multi-class classification in xgboost for imbalanced data?

I know that you can set scale_pos_weight for an imbalanced dataset. However, How to deal with the multi-classification problem in the imbalanced dataset.

I have gone through Unbalanced multiclass data with XGBoost but don't quite understand how to set weight parameter in Dmatrix.

Can anyone please explain in detail?