Anomaly Detection on Embedded systems network traffic dataset (val)
90AccuracyRandom Forest
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Random Forestvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 61.7531 | 54 | |
| Logistic Regressionvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 48.3951 | 40.4 | |
| AdaBoostvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 48.321 | 40.3 | |
| SVMvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 43.5556 | 35.6 | |
| Naive Bayesvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 39.9506 | 32.1 | |
| KNNvalidation_method=stratified 5-fold cross-validation2026.03 | 89.3333 | 37.7778 | 30 | |
| Gradient Boostingvalidation_method=stratified 5-fold cross-validation2026.03 | 87.3333 | 53.7284 | 45.7 | |
| Decision Treevalidation_method=stratified 5-fold cross-validation2026.03 | 80.6667 | 53.7037 | 45.7 |