Supervised learning algorithms are trained using labelled examples, such as an input where the desired output is known. Intuition example, a piece of equipment could have data repère labelled either “F” (failed) or “R” (runs). The learning algorithm receives a set of inputs along with the corresponding honnête outputs, and https://messageriecible01233.wikiconversation.com/7132103/faits_sur_Évitement_des_filtres_revealed