The Three Edge Case Culprits: Bias Variance and Unpredictability

Posted by365Data SciencePosted inData Science News
Edge cases occur for three basic reasons: Bias – the ML system is too ‘simple’; Variance – the ML system is too ‘inexperienced’; Unpredictability – the ML system operates in an environment full of surprises. How do we recognize these edge cases situations, and what can we do about them?

Originally from KDnuggets https://ift.tt/3ncJixN

source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-three-edge-case-culprits-bias-variance-and-unpredictability

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