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Training, Validation, and Test Sets in Machine Learning: A Practical Guide

You train a model, check the accuracy, and get 97%. Looks great. You deploy it, and it performs much worse on real data. This is not unusual. The model learned the training data well, but the evaluation did not tell you what actually matters how it performs on data it has never seen before. That is…

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  1. 2026-10-18 18:11 · DEV Community — Machine Learning
    Training, Validation, and Test Sets in Machine Learning: A Practical Guide

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