Training set

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  • Training set: A set of examples used for learning, that is to fit the parameters [i.e., weights] of the classifier.
  • Validation set: A set of examples used to tune the hyperparameters [i.e., architecture, not weights] of a classifier, for example to choose the number of hidden units in a neural network.
  • Test set: A set of examples used only to assess the performance [generalization] of a fully-specified classifier.

Ссылки

Test set @wikipedia