Unverified50% confidenceFactExact time
Splitting into training/validation/test sets is a basic practice for evaluating a machine learning model's generalization ability: the training set adjusts parameters, the validation set selects hyperparameters and early stopping, and the test set is used only for final evaluation.
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10/18/2026
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