Training Set

In the field of machine learning, a training set is a dataset used to train a model. It is a subset of the larger dataset and is used to teach the model how to make predictions by showing it examples of input data and the corresponding output. The training set is used to adjust the model's parameters so that it can accurately predict the output for new, unseen data. The quality and size of the training set are crucial factors in determining the accuracy of the model. A well-designed training set should be representative of the data that the model will encounter in the real world, and should include a diverse range of examples to ensure that the model can generalize well to new data.
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