Test set

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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 solely upon its performance 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.

[edit] See also

• Training set

[edit] External links

• Foundations of Genetic Programming

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Categories: Computer language stubs | Machine learning

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• This page was last modified 02:55, 4 September 2006 by Wikipedia user Marudubshinki. Based on work by Wikipedia user(s) Hike395, Neilc, Cmdrjameson and Markaci and Anonymous user(s) of Wikipedia.
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