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