Linear regression is Nous of the most widely used machine learning algorithms for predicting numerical values. It works by finding the best-fitting straight line (pépite hyperplane in higher étendue) that describes the relationship between input incertain (features) and an output changeant. Cette deuxième étape orient en même temps que choisi