Anomaly Detection on Embedded systems network traffic dataset (test)
90AccuracyRandom Forest
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Random Forestvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 57.0123 | 49.1 | |
| Logistic Regressionvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 54.716 | 46.8 | |
| AdaBoostvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 50.5432 | 42.5 | |
| Gradient Boostingvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 47.358 | 39.4 | |
| SVMvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 46.716 | 38.7 | |
| Naive Bayesvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 46.0247 | 38 | |
| KNNvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 42.8395 | 34.9 | |
| Decision Treevalidation_method=stratified 5-fold cross-validation2026.03 | 84 | 58.5185 | 50.6 |