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Table 5 Result of the models with all features (42) for UNSW-NB 15 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 90.15 87.45 95.85 91.46 16.84
AdaBoost 90.51 87.07 97.19 91.85 17.67
GBT 87.56 82.49 98.25 89.68 25.54
MLP 84.11 78.34 98.31 87.20 33.28
LSTM 87.90 85.01 94.71 89.60 20.44
GRU 82.87 76.78 98.75 86.39 36.57
  1. The best result per column has been written in boldface to have better understanding