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I am working on the feature extraction and class imbalance problems, but need advice on which one to perform first? Feature reduction/selection or to handle class imbalance first?

desertnaut
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  • I’m voting to close this question because it is not about programming as defined in the [help] but about ML theory and/or methodology - please see the intro and NOTE in the `machine-learning` [tag info](https://stackoverflow.com/tags/machine-learning/info). – desertnaut Mar 19 '21 at 09:35
  • More information on the dataset would be helpful ? How many examples, features ? How imbalanced are the classes ? What kind models are you using ? – VincFort Mar 20 '21 at 03:25

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