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LightGBM in the case of using multiple classification, how to deal with unbalanced data?

Time:11-16

Binary classification problems, you can directly use is_unbalance parameters, but many classification problem without this parameter,

If using SMOTE sampling is characteristics of categories, but LGB own category type processing is better than using one - hot coding,

Can not use the one - hot coding, to deal with the unbalanced data?
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