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In statistics, particularly in the context of classification problems, "precision" is a measure of how many of the positively identified instances (true positives) were actually correct. It is a critical metric used to evaluate the performance of a classification model, especially in scenarios where the consequences of false positives are significant.

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  1. Bayesian statistics
  2. Conditional probability
  3. Mathematical fallacies
  4. Mathematical proofs
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