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Table 7 Result of the models with all features (39) 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 99.50 99.83 98.74 99.28 0.09
AdaBoost 99.88 99.99 99.67 99.83 0.001
GBT 99.98 99.98 99.95 99.97 0.006
MLP 98.35 97.60 97.68 97.64 1.2
LSTM 94.51 91.28 93.18 92.22 4.7
GRU 95.69 91.23 96.99 94.02 5.0
  1. The best result per column has been written in boldface to have better understanding