False negative rate: Revision history

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20 March 2023

  • curprev 01:1601:16, 20 March 2023‎ Walle talk contribs‎ 2,637 bytes +2,637‎ Created page with "{{see also|Machine learning terms}} ==Definition== The '''false negative rate''' (Type II error) in machine learning refers to the proportion of positive instances that the algorithm incorrectly classifies as negative. This is an important metric when evaluating the performance of machine learning models, particularly when assessing the capability of the model to accurately identify positive cases. The false negative rate is complementary to the sensitivity (re..."
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