A plot of classification precision against classification recall as a threshold changes. An uninformative ranking has expected precision equal to the positive prevalence. Comparisons should retain the same evaluation population or explicitly account for changed prevalence.

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  1. Precision and recall
  2. Binary classification
  3. Classification in statistical learning
  4. Statistical learning
  5. Statistical modelling
  6. Statistical model
  7. Probability and statistics
  8. Area of mathematics
  9. Mathematics
  10. Home

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