Multiclass Classification on NSL-KDD Original
0.9992AccuracyProposed IDS Framework
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Proposed IDS Framework2025.12 | 0.9992 | 0.0054 | 0.996 | |
| Gradient Boosting Machine (GBM)2025.12 | 0.9869 | 0.1557 | 0.998 | |
| Random Forest2025.12 | 0.9861 | 0.0068 | 0.997 | |
| Multi-Layer Perceptron2025.12 | 0.9321 | 1.9983 | 0.985 | |
| K Nearest Neighbor (KNN)2025.12 | 0.8957 | 1.0056 | 0.841 |