Open sshenbao opened 2 months ago
Yes. When determining if oversampling has an effect, it's best to consider model hyperparams before and after oversampling.
If you trained the model before oversampling, you will optimize the model on the original dataset.
When you apply oversampling, the data distribution changes and that will affect the optimal hyperparameters. You will have to re-tune the hyperparameters.
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