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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?

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

In this case:

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

Removing outliers first let you do better smoothing and imputing.

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