Research Article
A GRU-Based Lightweight System for CAN Intrusion Detection in Real Time
Table 4
Parameters used in AdaBoost.
| Parameter name | Parameter |
| Base estimator | Decision tree | Number of base classifier cycles | 50 | Probability | False | Learning rate | 1.0 | Random state | None | Algorithm | SAMME.R |
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