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Results tagged with smote
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user 303
Synthetic Minority Oversampling Technique (SMOTE) is an approach used for dealing with imbalanced datasets before running them through machine learning models.
1
vote
Confusion Matrix before and after SMOTE is same
This doens't really appears to be linked to SMOTE, but seems to be about your calibration process. We can't really help you more than that without further details. …
- 2,444
8
votes
Why SMOTE is not used in prize-winning Kaggle solutions?
Why SMOTE doesn't work? … It includes a demonstration of how SMOTE doesn't work. …
- 2,444