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Test Set

Test set in machine learning is a subset of a dataset used to assess the performance of a model after training. The test set is separate from the training dataset and is not used during the model training process.

Purpose of a Test Set

The test set provides an unbiased evaluation of a model, reflecting its ability to generalize to new, unseen data. For example, in a classification task, the accuracy of the model on the test set indicates how well it can classify new instances.

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