Journal of Big Data

Table 4 The selected set of features from the UNSWNB15 dataset

From: Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection

Method	Selected features	Feature indexes
GA-ELM	21	(6, 7, 11, 16, 19, 20, 21, 22, 25, 28, 29, 30, 31, 33, 34, 35, 38, 39, 40, 41, 42)
DT	20	(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 39)
RF	13	(6, 7, 16, 19, 20, 21, 22, 25, 31, 33, 34, 38, 39)
GB	30	(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 32, 33, 34, 35, 36, 39)
KNN	11	(6, 7, 20, 21, 22, 25, 33, 34, 35, 38, 39)

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