A training dataset is a dataset of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [7] [8] For classification tasks, a supervised learning algorithm looks at the training dataset to determine, or learn, the optimal combinations of variables that will generate a good predictive model . [9]

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