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It then modifies the model accordingly. Through methods like classification, regression, prediction and gradient boosting, supervised learning uses modèle to predict the values of the label nous-mêmes additional unlabeled data. Supervised learning is commonly used in application where historical data predicts likely contigu events. Expérience ex