Anomaly Detection on Embedded systems network traffic dataset (train)
100AccuracyDecision Tree
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Decision Treevalidation_method=stratified 5-fold cross-validation2026.03 | 100 | 100 | 1 | |
| Random Forestvalidation_method=stratified 5-fold cross-validation2026.03 | 100 | 100 | 1 | |
| Gradient Boostingvalidation_method=stratified 5-fold cross-validation2026.03 | 94.8571 | 99.6236 | 0.992 | |
| KNNvalidation_method=stratified 5-fold cross-validation2026.03 | 90.5714 | 84.2971 | 0.816 | |
| Logistic Regressionvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 66.0385 | 0.625 | |
| SVMvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 53.6304 | 0.499 | |
| Naive Bayesvalidation_method=stratified 5-fold cross-validation2026.03 | 90 | 62.8481 | 0.593 | |
| AdaBoostvalidation_method=stratified 5-fold cross-validation2026.03 | 89.8571 | 81.6769 | 0.788 |