Data Mining and Data Warehousing, in Section 5.1 the author discusses training and testing. Differentiate between the two by discussing the roles of each.
Added by Cindy J.
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Step 1: State the high-level distinction — Training is the phase where a model learns patterns from labeled (or unlabeled, for unsupervised learning) data by adjusting parameters; Testing is the phase where the trained model is applied to held‑out, unseen data to Show more…
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