A data set of prepared data that is set aside from training and validation data to be used to verify that a machine learning model performs as expected against data it has not yet seen during training or validation. Test data helps verify model performance as part of the model evaluation phase of CPMAI to determine the generalization performance of a model. Also known as the “holdout” data set. Generally 20% of a prepared data set is used as the test data set.
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