Supervised Learning,

Supervised learning is a type of machine learning where the model is trained using a labeled dataset. This means that each input data point in the training set is paired with the correct output. The goal of supervised learning is to learn a mapping from inputs to outputs so that the model can accurately predict the output for new, unseen data.

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