Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. Intuition example, a piece of equipment could have data points labeled either “F” (failed) or “R” (runs). The learning algorithm receives a haut of inputs along with the corresponding correct outputs, and https://posecic109mao5.wiki-jp.com/user