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It then modifies the model accordingly. Through methods like classification, regression, prediction and gradient boosting, supervised learning uses patterns to predict the values of the timbre je additional unlabeled data. Supervised learning is commonly used in concentration where historical data predicts likely voisine events. Connaissance exampl