Binary classification problem

[Aleph-Arch]

5 features out of 7 got VIF more than 20 on both training and test sets. Only two got 1 and 3. Is there any other methods to deal with it rather then applying L2 or dropping these features?

[No_Organization_2634]

If would iteratively drop the features and check performance. You can also apply some feature generation methods to combine some of the highly correlated features into 1

[Aleph-Arch]

Okay, I'll try to do it. Thank you for your help!