On which step should use SMOTE technique for over sampling?

Question

I want to use SMOTE technique for over sampling but I don't know on which step on pre-processing I should use it.

My preprocessing steps are:

Missing values
Removing Outliers
Smoothing Data

Should I use SMOTE before all of these steps or its better to use it after these steps?

Ilker Kurtulus · Accepted Answer

If you are using python, you can't use SMOTE in the presence of null values.

In this case:

Remove Outliers
Smooth Data
Impute null values (there are some smart options for that in R: using random forests to impute)
SMOTE

Removing outliers first let you do better smoothing and imputing.

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