Journal of Big Data

Table 9 Performance metrics of multilabel classification for UNSW-NB15 dataset

From: Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

ML	Accuracy		Precision		Recall		F1-score
ML	All feature	Proposal	All feature	Proposal	All feature	Proposal	All feature	Proposal
DT	85.38	99.79	60.24	99.79	60.63	99.79	60.63	99.79
RF	86.42	99.95	62.45	99.95	58.06	99.95	58.06	99.95
ET	85.55	99.95	59.49	99.95	56.15	99.95	56.15	99.95
XGB	87.73	95.04	76.92	95.29	66.59	95.03	66.59	95.03

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