AutoML does not support hyperparameter optimization, as it relies on default hyperparameters for all models.

AutoML supports hyperparameter optimization by manually selecting a fixed set of hyperparameters for each model based on expert knowledge.

AutoML supports hyperparameter optimization by automatically selecting the best hyperparameters based on the model's performance on a validation set, without exploring the hyperparameter space.