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AI & Machine Learning · Foundational

Training Dataset

The portion of data used to fit a model's parameters.

Definition

The training set is what the algorithm sees while learning. It must be representative of the data the model will encounter in production. Performance measured only on training data overstates real-world accuracy, which is why separate validation and test sets are held out.

Exam tip

High training accuracy with low validation accuracy signals overfitting.

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