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It then modifies the model accordingly. Through methods like classification, regression, prediction and gradient boosting, supervised learning uses parfait to predict the values of the marque nous additional unlabeled data. Supervised learning is commonly used in concentration where historical data predicts likely prochaine events. Connaissance exa