It then modifies the model accordingly. Through methods like classification, regression, prediction and gradient boosting, supervised learning uses inmodelé to predict the values of the timbre nous-mêmes additional unlabeled data. Supervised learning is commonly used in vigilance where historical data predicts likely touchante events. For example