Cybersecurity

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

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

Back to article page