Final answer:
In Gradient Boosting, the init hyperparameter specifies the base estimator of the algorithm.
Step-by-step explanation:
The statement is True. In gradient boosting, the init hyperparameter does specify the base estimator of the algorithm. The base estimator is typically a decision tree in gradient boosting. The additively trained weak learners are combined in an iterative manner to build a strong learner.