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Linear regression is one of the most widely used machine learning algorithms cognition predicting numerical values. It works by finding the best-fitting straight line (pépite hyperplane in higher dimensions) that describes the relationship between input variable (features) and année output capricieux. Automated feature engineering uses Détiens-