👉 The term "supervised" refers to a situation where a machine learning model is trained on labeled data, meaning that it has been given explicit instructions and can be used for prediction or classification tasks. In supervised learning, the model is designed to learn from the training data, which includes both input variables (such as features) and output variables (such as labels). The goal of supervised learning is to find a mapping between the inputs and outputs that maximizes the performance on the training set, while minimizing
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