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Test Set

Test Set:

A test set is a portion of a data set used in data mining to assess the likely future performance of a single prediction or classification model that has been selected from among competing models, based on its performance with the validation set. While the validation set provides a useful guide to selecting the best-performing model, that best-performing model may still do better with the validation data than it will with unseen future data. This is particularly the case when many different models are assessed - in such cases there is a greater chance that the "winning" model emerges on top because it just happens (by chance) to fit some particularities of the validation set quite well.

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Courses Using This Term

Predictive Analytics 1 – Machine Learning Tools
This course introduces to the basic concepts in predictive analytics to visualize and explore data to understand the two core paradigms that account for most business applications of predictive modeling: classification and prediction.
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