Cybersecurity

Table 8 Result of the models with selected features (10) for Network TON_IoT dataset

From: Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

Models	AC.(%)	Precision (%)	Recall (%)	F1 score (%)	FPR (%)
DT	99.90	99.84	99.87	99.85	0.08
AdaBoost	99.98	99.98	99.96	99.97	0.006
GBT	99.98	99.98	99.97	99.97	0.008
MLP	97.13	93.64	98.49	96.00	3.5
LSTM	88.99	76.44	99.00	86.27	16.37
GRU	95.02	90.95	95.24	93.04	5.08

The best result per column has been written in boldface to have better understanding

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