Table 6 Evaluation criteria for classification algorithm.
Evaluation Metrics | Equation | Description |
|---|---|---|
TP | - | True Positive |
TN | - | True Negative |
FP | - | False Positive |
FN | - | False Negative |
Accuracy | (5) | The percentage of correctly classified instances. |
Sensitivity (TPR) | (6) | True Positive Rate |
Specificity (TNR) | (7) | True Negative Rate |
Precision | (8) | The degree of validity for positive responses. |
Recall | (9) | The classifier’s ability to detect unsafe traffic. |
F1-Measure | (10) | A combination of precision and recall. |
Training Time | - | The time it takes to train the classifier. |
Prediction Time | - | The time it takes to classify a single incoming traffic. |
