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Results tagged with smote
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user 64381
Synthetic Minority Oversampling Technique (SMOTE) is an approach used for dealing with imbalanced datasets before running them through machine learning models.
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How to apply oversampling when doing Leave-One-Group-Out cross validation?
I am not sure if I can explain it nicely, but, as my understanding, to do k-fold CV using SMOTE we can loop the SMOTE on every fold, as I saw in this code on another post. … Below is an example of SMOTE implementation on the k-fold CV. …
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