In machine learning, Supervised Learning refers to:

Group of answer choices

Where an algorithm that is being used in training has a high chance of failure and thus needs supervision

Where two algorithms are involved $-$ a learner algorithm and a master algorithm.

Where an expert system has rules of supervised shut down coded into it$.$

Where the data set is changed at regular intervals through human intervention

Where the system is learning to recognize a known output