You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is useful. This detailed discussion reviews the various performance metrics you must consider, and offers intuitive explanations for what they mean and how they work.
Originally from KDnuggets https://ift.tt/31TVbPP
source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-evaluate-the-performance-of-your-machine-learning-model
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