Table 3 Class Imbalance and SMOTE Settings.
From: A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs
Aspect | Details |
|---|---|
Imbalance ratio | Minority class: < 15% of total samples |
Quantification method | Class frequency count |
Oversampling method | SMOTE (Synthetic Minority Oversampling Technique) |
Library used | imblearn.over_sampling.SMOTE |
Nearest neighbors (k) | 5 |
Sampling strategy | ‘auto’ (equalizes to majority class size) |
Random state | 42 (for reproducibility) |
