New answers tagged smote
3
You must apply SMOTE after splitting into training and test, not before. Doing SMOTE before is bogus and defeats the purpose of having a separate test set.
At a really crude level, SMOTE essentially duplicates some samples (this is a simplification, but it will give you a reasonable intuition). If you duplicate every sample ten times, and then split into ...
6
Essentially applying SMOTE makes the job easier for the model: SMOTE generates artificial instances which tend to have the same properties as each other, so it's easier for the model to capture their patterns. However these instances are rarely a good representative sample for the minority class, so there's a higher risk that the model overfits.
Of course if ...
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