Hyperparameter Classification on NSL-KDD Normal
94AccuracyClassOCC
Evaluation results
| Method | Links | |
|---|---|---|
| ClassOCCAlgorithm=OCSVM, Classification target=Kernels (4 classes), Cross-validation protocol=2-fold2026.06 | 94 | |
| ClassOCCAlgorithm=OCSVM, Classification target=Kernels (4 classes), Cross-validation protocol=leave-one-out2026.06 | 93.8 | |
| ClassOCCAlgorithm=GMM, Classification target=Covariance type (4 classes), Cross-validation protocol=leave-one-out2026.06 | 75 | |
| ClassOCCAlgorithm=GMM, Classification target=Covariance type (4 classes), Cross-validation protocol=2-fold2026.06 | 62 | |
| ClassOCCAlgorithm=IF, Classification target=Max features(1-10), Cross-validation protocol=leave-one-out2026.06 | 27.9 | |
| ClassOCCAlgorithm=GMM, Classification target=Number of components (1-10), Cross-validation protocol=2-fold2026.06 | 27.9 | |
| ClassOCCAlgorithm=IF, Classification target=Max features(1-10), Cross-validation protocol=2-fold2026.06 | 26.1 | |
| ClassOCCAlgorithm=GMM, Classification target=Number of components (1-10), Cross-validation protocol=leave-one-out2026.06 | 25.7 | |
| ClassOCCAlgorithm=LOF, Classification target=Number of neighbors (3-11), Cross-validation protocol=2-fold2026.06 | 4.9 | |
| ClassOCCAlgorithm=LOF, Classification target=Number of neighbors (3-11), Cross-validation protocol=leave-one-out2026.06 | 2.8 |