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Table 6 Result of the models with reduced features (20) 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 93.01 92.69 94.76 93.72 09.14
AdaBoost 90.51 87.59 96.43 91.80 16.73
GBT 87.08 82.25 97.58 89.26 25.78
MLP 87.26 82.02 98.44 89.48 26.43
LSTM 88.99 87.59 93.21 90.31 16.17
GRU 90.11 86.73 96.84 91.51 18.14
  1. The best result per column has been written in boldface to have better understanding