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