Test set
From Wikipedia, the free encyclopedia
In machine learning and genetic programming it is common to train the system using known examples (the training set). In GP the set of examples used to determine performance 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.
