A data scientist is using 3-fold cross-validation and a specific hyperparameter grid for optimizing model hyperparameters via grid search in a classification problem. The hyperparameter grid is as follows: Hyperparameter 1 [4, 6, 7] Hyperparameter 2 [5, 10] What is the total number of machine learning models that can be trained simultaneously during this process? Choose only ONE best answer.