Table 12 Squeezenet verification.
From: An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks
Category | Recall IoT-2023 IoMT-2024 | Precision IoT-2023 IoMT-2024 | F1-score IoT-2023 IoMT-2024 | False Positive Rate IoT-2023 IoMT-2024 | ||||
|---|---|---|---|---|---|---|---|---|
0 | 0.970 | 0.958 | 0.952 | 0.957 | 0.961 | 0.958 | 0.007 | 0.008 |
1 | 0.882 | 0.987 | 0.870 | 0.987 | 0.876 | 0.987 | 0.019 | 0.003 |
2 | 0.970 | 0.984 | 0.963 | 0.986 | 0.966 | 0.985 | 0.005 | 0.003 |
3 | 0.970 | 0.960 | 0.971 | 0.968 | 0.971 | 0.964 | 0.004 | 0.006 |
4 | 0.878 | 0.959 | 0.889 | 0.934 | 0.884 | 0.947 | 0.016 | 0.013 |
5 | 0.983 | 0.903 | 0.995 | 0.920 | 0.989 | 0.911 | 0.001 | 0.016 |
6 | 0.957 | —— | 0.961 | —— | 0.959 | —— | 0.005 | —— |
7 | 0.953 | —— | 0.963 | —— | 0.958 | —— | 0.005 | —— |
