Hyperparameter Classification on NSL-KDD (Abnormal)
100Accuracy (%)ClassOCC
Evaluation results
| Method | Links | |
|---|---|---|
| ClassOCCAlgorithm=OCSVM, Classification target=Kernels (4 classes), Cross-validation protocol=leave-one-out2026.06 | 100 | |
| ClassOCCAlgorithm=OCSVM, Classification target=Kernels (4 classes), Cross-validation protocol=2-fold2026.06 | 100 | |
| 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 | 63 | |
| ClassOCCAlgorithm=GMM, Classification target=Number of components (1-10), Cross-validation protocol=2-fold2026.06 | 50.8 | |
| ClassOCCAlgorithm=GMM, Classification target=Number of components (1-10), Cross-validation protocol=leave-one-out2026.06 | 49.9 | |
| ClassOCCAlgorithm=IF, Classification target=Max features(1-10), Cross-validation protocol=leave-one-out2026.06 | 25 | |
| ClassOCCAlgorithm=IF, Classification target=Max features(1-10), Cross-validation protocol=2-fold2026.06 | 23.5 | |
| ClassOCCAlgorithm=LOF, Classification target=Number of neighbors (3-11), Cross-validation protocol=2-fold2026.06 | 2.7 | |
| ClassOCCAlgorithm=LOF, Classification target=Number of neighbors (3-11), Cross-validation protocol=leave-one-out2026.06 | 0.6 |