What is a Training Set in Machine Learning?
A training set is a set of data used to discover potentially predictive relationships. It is a key component in machine learning, particularly in supervised learning algorithms. By analyzing the relationships within the training data, the machine learning model learns to make predictions on new, unseen data.
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