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As we pointed out earlier, both classification and regression models are in the field of Supervised Learning. These models are characterized by having a group of features or independent variables and a target variable that is the variable that the model aims to predict.
This target variable is called the labelled data and is the main property of the Supervised Learning models because it acts as the orientation for constructing the model in the training phase and to evaluate model performance.
