Definition
A learning algorithm is typically applied at two distinct times. Training time refers to the time when an algorithm is learning a model from training data.Test time refers to the time when an algorithm is applying a learned model to make predictions. Lazy learning susually blurs the distinction between these two times, deferring most learning until test time.
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© 2011 Springer Science+Business Media, LLC
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(2011). Training Time. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_844
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DOI: https://doi.org/10.1007/978-0-387-30164-8_844
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
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