test set

In machine learning and genetic programming it is common to train the system using known examples. In GP the set of examples used for training is commonly called the test set. A program's fitness is often based soley upon its performace on the test set. A common performance measure is the number of examples it gets right. Each (approximately) correct answer is known as a hit. [http://www.cs.ucl.ac.uk/staff/W.Langdon/FOGP/ Foundations of Genetic Programming].

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