In Machine Learning, which primary training methodology requires the input data to be explicitly labeled with the correct answers or desired outcomes?

💡 Explanation:

Supervised learning models are trained using a dataset where the desired output (the label) is already associated with each input example. The model learns by mapping the input to the corresponding known output.