Table 6 Model comparison on binary classification task.
From: Graph attention and Kolmogorov–Arnold network based smart grids intrusion detection
Model | Acc (%) | Pre (%) | Rec (%) | F1 (%) | FNR (%) |
|---|---|---|---|---|---|
GraphKAN | 97.63 | 98.32 | 98.92 | 99.02 | 1.08 |
BGWO-EC42 | 97.41 | 96.77 | 94.26 | 95.49 | 5.74 |
RF-RBM43 | 97.80 | 98.20 | 96.80 | 97.90 | 3.20 |
Net_Stack44 | 97.23 | – | – | – | – |
SVM-AC45 | 84.40 | 86.00 | 84.90 | – | 15.10 |
PSO-SVM46 | 89.50 | 90.20 | 80.70 | – | 19.30 |
GA-RBF-SVM47 | 91.90 | 93.70 | 95.00 | 87.00 | 5.00 |
GA-MLPNN47 | 86.40 | 87.20 | 85.70 | 84.90 | 14.30 |
AdaBoost48 | – | 94.00 | 89.00 | – | 11.00 |
