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Supervised learning algorithms are trained using labelled examples, such as an input where the desired output is known. Connaissance example, a piece of equipment could have data centre labelled either “F” (failed) or “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding correct outputs, and the