I have a dataframe with 2715 attribute columns, values ranging from [0, 0.92). Additionally, the dataframe has an auxiliary attribute column with one-hot values (0 or 1) for a binary classification task. I want to use Julia to deal with the mission of feature reduction for my task. This is my effort. Yeah, I have tried Weight of Evidence, but the number is too low for both sensitivity and specifity with different models. I don’t know how to continue. I need your help. Thanks a real lot!
What do you mean by this?
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This only contains a Python notebook and a CSV file
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