Table 9.

Performance evaluation of six commonly used machine learning classifiers test for malicious and normal traffic detection over IoT healthcare dataset generated using IoT-Flock [16,24].

ML Classifier	Precision	Recall	Accuracy	F1-Score
NB	79.6711	99.7053	52.1823	68.5092
KNN	99.6502	99.6867	99.4873	99.5869
RF	99.7068	99.7952	99.5123	99.6535
AB	99.5548	99.4459	99.5039	99.4749
LogR	95.287	90.3516	99.5039	94.7072
DT	99.6944	99.7993	99.4789	99.6388