Binary Classification on CIC MalMemAnalysis 2022 (test)
100AccuracyRF
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| RFModel=Random Forest2026.02 | 100 | 100 | 100 | 100 | 100 | 1 | 1 | 0.0006 | |
| GBModel=Gradient Boosting2026.02 | 100 | 100 | 100 | 100 | 100 | 1 | 1 | 0.0003 | |
| LGBMModel=LightGBM2026.02 | 100 | 100 | 100 | 100 | 100 | 1 | 1 | 0 | |
| DTModel=Decision Tree2026.02 | 99.99 | 99.99 | 99.99 | 99.99 | 99.99 | 0.9998 | 0.9999 | 0.0031 | |
| XGBoostModel=XGBoost2026.02 | 99.98 | 99.98 | 99.98 | 99.98 | 99.98 | 0.9997 | 1 | 0.0003 | |
| KNNModel=K-Nearest Neighbors2026.02 | 99.94 | 99.94 | 99.94 | 99.94 | 99.94 | 0.9988 | 0.9999 | 0.0038 | |
| MLPModel=Multi-layer Perceptron2026.02 | 99.94 | 99.94 | 99.94 | 99.94 | 99.94 | 0.9988 | 0.9998 | 0.0052 | |
| LRModel=Logistic Regression2026.02 | 99.66 | 99.66 | 99.66 | 99.66 | 99.66 | 0.9932 | 0.9998 | 0.0155 | |
| NBModel=Naive Bayes2026.02 | 99.25 | 99.25 | 99.25 | 99.25 | 99.25 | 0.985 | 0.9958 | 0.2456 |