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A) prediction through prediction performance
Explanation:
Supervised learning is a learning model built to make prediction, given an unforeseen input instance.
Supervised learning algorithm analyzes the training data and produces an concluded function, which can be used for mapping new examples.
Example: Linear regression for regression problems.
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