Due to the shortcomings of KDD-cup99 and NSL-KDD, we restricted the choice to either UNSW-NB15 or CICIDS2017. Table1presents 7 parameters. The first one is year of creation of each dataset. Then the number of features gives us the quantity of input data and labels characterizing each rec...
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203.8s 49 Dataset numeric labels after encoding for model: [ 0 10 2 1 9 12 14 13 7 11 6 5 4 3 8] 205.2s 50 Number of classes: 15 205.2s 51 Labels: [ 0 10 2 1 9 12 14 13 7 11 6 5 4 3 8] 357.7s 52 Cramer Von Mises distances: [212619.7637975 157597.06261456 103085....