Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. A test dataset is a [[dataset]] that is independent of the [[training dataset]], but that follows the same probability distribution as the training dataset. If a model fit to the training dataset also fits the test dataset well, minimal overfitting has taken place. A better fitting of the training dataset as opposed to the test dataset usually points to overfitting. A test set is therefore a set of examples used only to assess the performance (i.e. generalization) of a fully specified classifier. test_dataset.txt Last modified: 2024/06/07 02:51by 127.0.0.1