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I have classified my biological data by using a few machine learning algorithms and calculated sensitivity, specificity, AUC, accuracy, kappa, PPV and NPV etc.? which one of these metrics are the most important when I want to select the "best" performing model?

Maxim Spacy
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  • You may be interested in a question I just posted: https://stats.stackexchange.com/questions/464636/proper-scoring-rule-when-there-is-a-decision-to-make-e-g-spam-vs-ham-email. – Dave May 05 '20 at 13:38
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    Best for what purpose? What are the costs for different kinds of errors? – Sycorax May 05 '20 at 14:09
  • We can't tell you, you have to tell us. That is, which one is best depends on the particular case. – Peter Flom May 06 '20 at 13:26

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