Question: What is a key reason why some machine - learning models are referred to as black boxes? They prioritize speed over accuracy. They use only

What is a key reason why some machine-learning models are referred to as "black boxes"?
They prioritize speed over accuracy.
They use only unsupervised learning techniques.
Their decision-making processes are difficult to interpret.
They rely on outdated algorithms.

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