Multi-Class classification on CIC MalMemAnalysis 2022 (test)
87.84AccuracyRF
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| RFModel=Random Forest2026.02 | 87.84 | 81.72 | 81.72 | 81.72 | 81.72 | 0.8176 | 96.97 | 0.339 | |
| XGBoostModel=XGBoost2026.02 | 87.54 | 81.27 | 81.27 | 81.27 | 81.26 | 0.8131 | 97.09 | 0.3009 | |
| LGBMModel=LightGBM2026.02 | 86.76 | 80.09 | 80.09 | 80.08 | 80.09 | 0.8014 | 96.83 | 0.3174 | |
| DTModel=Decision Tree2026.02 | 85.04 | 77.54 | 77.54 | 77.59 | 77.56 | 0.7756 | 86.53 | 5.3882 | |
| GBModel=Gradient Boosting2026.02 | 82.18 | 73.28 | 73.28 | 73.42 | 73.28 | 0.7331 | 94.83 | 0.4021 | |
| KNNModel=K-Nearest Neighbors2026.02 | 80.17 | 70.2 | 70.2 | 70.4 | 70.22 | 0.7027 | 91.57 | 1.8602 | |
| MLPModel=Multi-layer Perceptron2026.02 | 76.77 | 65.33 | 65.33 | 66.37 | 63.96 | 0.6592 | 91.95 | 0.4711 | |
| LRModel=Logistic Regression2026.02 | 70.6 | 56.26 | 56.26 | 57.34 | 55.27 | 0.5662 | 88.5 | 0.5431 | |
| NBModel=Naive Bayes2026.02 | 68.14 | 53.4 | 53.4 | 57.13 | 46.51 | 0.5649 | 87.38 | 7.932 |