SMOTE Upsampling Operator With Multi-Label Classification
Nawaf
New Altair Community Member
Best Answer
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good question. Both ways are feasible and can be succesful. What I would remind you about is, that if you use tree-based models like a RF then the additional examples from upsampling allows "deeper trees", since there are just more examples. You this get a very different tree.Best,Martin0
Altair EmployeeAnswers
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Thanks folks for your response! The number of difference between class 0 and 1 (using the binary classification) is almost too high as normal for multi-label classification problem. So do you think finding the best threshold is better than applying SMOTE ?
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good question. Both ways are feasible and can be succesful. What I would remind you about is, that if you use tree-based models like a RF then the additional examples from upsampling allows "deeper trees", since there are just more examples. You this get a very different tree.Best,Martin0
