Testing Record Set

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A Testing Record Set is a dataset used for evaluations by a learning system.





  • (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Test_set
    • 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.
  • (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
    • One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributions.