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The training set is the part that estimates model parameters.
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The validation set is the part that estimates the optimal value of the penalty, and assesses or validates the predictive ability of the model.
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The test set is a final, independent assessment of the model’s predictive ability. The test set is available only when using a validation column.
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For more information about using row states and how to exclude rows, see Hide and Exclude Rows in the Using JMP book.