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. 2023 Sep 4;9:e1552. doi: 10.7717/peerj-cs.1552

Table 11. Classification performance on the original UNSW-NB15 dataset (45 features).

Classifier Accuracy Precision Recall F1-measure
Random forest 87.91% 86.76% 85.66% 86.20%
KNN 65.71% 66.61% 67.25% 66.92%
SVM 73.32% 71.19% 69.12% 70.13%
Decision tree 78.39% 76.21% 75.43% 75.81%
MLP 77.32% 78.43% 77.14% 77.77%
Ensemble 89.91% 86.82% 85.78% 86.29%