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  • Common Performance Metrics for Classification

Bayes error rate

In statistical classification, Bayes error rate is the lowest possible error rate for any classifier of a random outcome (into, for example, one of two categories) and is analogous to the irreducible error.

For deep learning, human-level performance can be regarded approximately as Bayes error rate.

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4 years ago

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Data Science

Related
  • Confusion Matrix

  • ROC Curve and ROC AUC

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  • F1 Score

  • Optimizing Criteria in Classification Problems

  • Satisficing Criteria in Classification Problems

  • Bayes error rate

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Learn After
  • Bayes Error Rate for (Naive) Bayes Classifier

  • Human Level Performance

  • Avoidable bias

  • If your goal is to have “human-level performance” be a proxy (or estimate) for Bayes error, how would you define “human-level performance”?

  • Human Level Proxy for Bayes Error

  • Which of the following statements about algorithmic performance do you agree with?

  • Bayes Calssifier and Bayes Error Rate