Multiclass Classification on NSL-KDD Augmented with CTGAN data
0.9993AccuracyProposed IDS Framework
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Proposed IDS Framework2025.12 | 0.9993 | 0.0049 | 0.997 | |
| Gradient Boosting Machine (GBM)2025.12 | 0.9878 | 0.1532 | 0.996 | |
| Random Forest2025.12 | 0.982 | 0.0073 | 0.992 | |
| K Nearest Neighbor (KNN)2025.12 | 0.965 | 0.0092 | 0.997 | |
| Multi-Layer Perceptron2025.12 | 0.9522 | 1.0056 | 0.994 |