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Your work is amazing and impressive. When I was trying to reproduce your results on the wadi dataset, there were some problems that I was not clear about.
I used WADI_14days_new.csv as training data, WADI_attackdataLABLE.csv as a test one. Did you also train on those files?
I saw there are four empty columns in the wadi dataset('2_P_001_STATUS', '2_P_002_STATUS', '2_LS_001_AL','2_LS_002_AL'), how did you process these columns? (Did you just drop these four empty columns?)
there are some nan values in the dataset, how did you deal with them in the paper? (I replaced these values with the mean of the columns'.)
And I got these results on wadi data:
F1 score: 0.3994959042218021
precision: 0.5382003395585738
recall: 0.31795386158475425
So I was wondering how did you process the dataset? Any suggestions would be appreciated! Thank you so much! :)
The text was updated successfully, but these errors were encountered:
Your work is amazing and impressive. When I was trying to reproduce your results on the wadi dataset, there were some problems that I was not clear about.
And I got these results on wadi data:
F1 score: 0.3994959042218021
precision: 0.5382003395585738
recall: 0.31795386158475425
So I was wondering how did you process the dataset? Any suggestions would be appreciated! Thank you so much! :)
The text was updated successfully, but these errors were encountered: