Final Year Project based on anomaly based intrusion detection
Table:
| Decision Tree | SVM | Linear Regression | Logistic Regression | Naive bayes | Random Forest | |
|---|---|---|---|---|---|---|
| Accuracy | 0.9911 | 0.6159 | 0.6733 | 0.9085 | 0.874 | 0.9911 |
| RMS | 0.094 | 0.6196 | 0.2851 | 0.3025 | 0.3548 | 0.094 |
| F1 Score | 0.9917 | 0.4602 | 0.9156 | 0.8897 | 0.9917 | |
| Recall | 0.9924 | 0.3067 | 0.9293 | 0.9515 | 0.9944 | |
| Precision | 0.9909 | 0.9217 | 0.9023 | 0.8354 | 0.9889 |