Research Article
Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection
Table 5
Class imbalance ratios of Train A, Train B, Validation, and Test dataset.
| Classes | #Train A | Ratio (%) | #Train B | Ratio (%) | #Validation | Ratio (%) | #Test | Ratio (%) |
| Normal | 97,278 | 24.52% | 48,639 | 10.13% | 48,639 | 24.52% | 60,593 | 26.15% | U2R | 52 | 0.01% | 26,026 | 5.17% | 26 | 0.01% | 39 | 0.01% | R2L | 1,126 | 0.23% | 254,476 | 92.70% | 563 | 0.23% | 5,993 | 2.09% | DoS | 391,458 | 381.68% | 195,729 | 58.73% | 195,729 | 381.68% | 223,298 | 323.61% | Probe | 4,107 | 0.84% | 4,108 | 0.78% | 2,053 | 0.84% | 2,377 | 0.82% |
|
|