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