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I was working on a dataset, and performed Variance Inflation Factor(VIF),in Python. I got the results, which is very high, but when I look online, I see the results over than 10 are considered as multicollinear. In that case, all the features in my dataset are multicollinear. I add example of my results in the following:

Feature VIF

A 1250.76

B 130.65

c 190.45

D 20.76


I was wondering if there is anything wrong with this? and what should I do? any suggestions? Can anyone suggest any codes?

What I have tried:

Here is what I have sofar:
    vif_data = pd.DataFrame()
vif_data["feature"] = X.columns

vif_data["VIF"] = [variance_inflation_factor(X.values, i)
                   for i in range(len(X.columns))]

print(vif_data)
Posted
Updated 12-Mar-21 6:48am
v2

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