Rootkit Detection on Trigram API sequences (test)
96.175AccuracyRF
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RFModel Type=Random Forest2026.04 | 96.175 | 96.443 | 96.175 | 96.167 | |
| LRModel Type=Logistic Regression2026.04 | 96.175 | 96.443 | 96.175 | 96.167 | |
| SVMModel Type=Support Vector Machine2026.04 | 96.175 | 96.443 | 96.175 | 96.167 | |
| GBModel Type=Gradient Boosting2026.04 | 95.082 | 95.516 | 95.082 | 95.066 | |
| AdaBoostModel Type=Adaptive Boosting2026.04 | 95.082 | 95.516 | 95.082 | 95.066 | |
| XGBoostModel Type=Extreme Gradient Boosting2026.04 | 94.536 | 95.066 | 94.536 | 94.514 | |
| DTModel Type=Decision Tree2026.04 | 93.989 | 94.625 | 93.989 | 93.961 | |
| KNNModel Type=K-Nearest Neighbors2026.04 | 85.246 | 88.566 | 85.246 | 84.879 |