Test Data

Data the model has never seen, used once at the end to estimate real-world performance.

Test data is the honest scorecard. It must stay untouched during development, because any decision made on the basis of test results turns it into validation data. When test examples leak into training — contamination — reported scores become meaningless.

In practice: A model scoring 95% on a benchmark whose answers were in its training data has learned nothing.