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Learnings from a Machine Learning Engineer — Part 3: The Evaluation | by David Martin

Retrieved on: 2025-01-16 20:39:37

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Evaluation of the trained model. As machine learning engineers we look at accuracy, F1, log loss, and other metrics to decide if a model is ready to ...

Article found on: towardsdatascience.com

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