Classification on CSE-CIC-IDS 2018 (test)
99.78AccuracyD_TreeEVO - FS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| D_TreeEVO - FSAuthors=Proposed method, Model=D_Tree2026.01 | 99.78 | 99.702 | 99.701 | 99.702 | |
| RFEVO - FSAuthors=Proposed method, Model=RF2026.01 | 98.21 | 98.56 | 98.5 | 98.51 | |
| CFS-DEAuthors=R. Zhao et al. [10], Model=RF2026.01 | 98.01 | 96.61 | 98.01 | 97.3 | |
| KNNEVO- FSAuthors=Proposed method, Model=KNN2026.01 | 97 | 97.01 | 97.01 | 97 | |
| DL/ Conv-AE approachAuthors=Khan et al. [32], Model=RF2026.01 | 89 | 90.19 | 88.45 | 89.31 | |
| DL/ Conv-AE approachAuthors=Khan et al. [32], Model=D_Tree2026.01 | 89 | 77.3 | 82.12 | 79.63 | |
| DL/ BiLSTMAuthors=H. Xu et al. [29], Model=RF2026.01 | 83.57 | 84.58 | 83.28 | 86.59 | |
| DL/ BiLSTMAuthors=H. Xu et al. [29], Model=KNN2026.01 | 82.86 | 80.53 | 74.22 | 77.29 |