Magecart Detection on Magecart detection dataset (test)
99.64AccuracySupport Vector Machine (SVM)
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Support Vector Machine (SVM)feature_selection=60 features2025.11 | 99.64 | 95.28 | 96.18 | 95.71 | 0.0267 | 0.0102 | |
| K-Nearest Neighbors (KNN)feature_selection=60 features2025.11 | 99.5 | 94.28 | 93.8 | 94.01 | 0.001 | 0.0084 | |
| RFfeature_selection=60 features2025.11 | 99.36 | 96.4 | 88.05 | 92 | 0.0818 | 0.0154 | |
| Logistic Regression (LR)feature_selection=60 features2025.11 | 99.3 | 92.68 | 90.41 | 91.48 | 0.0121 | 0.0006 | |
| GBfeature_selection=60 features2025.11 | 99.18 | 95.72 | 84.23 | 89.52 | 1.0358 | 0.001 | |
| Decision Tree (DT)feature_selection=60 features2025.11 | 99.16 | 93.37 | 86.16 | 89.48 | 0.0333 | 0.0005 | |
| AdaBoostfeature_selection=60 features2025.11 | 99 | 97.88 | 77.98 | 86.54 | 1.2404 | 0.043 | |
| Gaussian Naive Bayes (NB)feature_selection=60 features2025.11 | 72.74 | 13.25 | 99.05 | 23.37 | 0.0024 | 0 | |
| K-meansfeature_selection=60 features2025.11 | 46 | 4.74 | 52.71 | 8.65 | 0.0259 | 0.0012 |