A) The AI model learns by interacting with an environment, receiving rewards or penalties for its actions.
B) The AI model is trained on a dataset that consists of input data paired with corresponding correct output labels.
C) The AI model analyzes unlabeled data to discover hidden patterns or intrinsic structures within the data.
D) The AI model relies on continuous human oversight to make decisions at every step of its operation.
Explanation
Supervised learning involves training an AI model on a 'labeled' dataset, meaning each input data point is associated with a known correct output. The model learns to map inputs to outputs based on these examples, aiming to predict the correct output for new, unseen inputs.
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