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Hi,
I'm trying to reproduce you're results as indicated in the Feature_Selection_reg
notebook but am finding that I'm getting slightly different results starting with running X=cmns.drop_high_vif(df_reduced,thresh=5)
on line 130
, even though I'm using the same BTC_Data_736_features_raw.csv
file that was available in commit b80f8913e0. My guess is this is coming from slightly different versions of Python (I'm running 3.8) and related packages compared to what was in your manuscript.
Do you have an Anaconda environment (or other virtualenv) file from your original workflow that can be shared, so I can better understand how these discrepancies are arising?
Thanks in advance.
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