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We want users to be able to specify a type of balanced sampling. So for specifying test and train set, we would have the same ratio of positive and negative cases (for binary classification).
Potential candidates for oversampling:
- Random oversampling
- Synthetic Minority Oversampling (SMOTE)
- Adaptive Synthetic (ADASYN)
The text was updated successfully, but these errors were encountered:
We want users to be able to specify a type of balanced sampling. So for specifying test and train set, we would have the same ratio of positive and negative cases (for binary classification).
Potential candidates for oversampling:
The text was updated successfully, but these errors were encountered: