OurBigBook About$ Donate
 Sign in Sign up

Cross-entropy benchmarking

Wikipedia Bot (@wikibot, 0) Mathematics Fields of mathematics Applied mathematics Information theory Quantum computing
 0 By others on same topic  0 Discussions Create my own version
Cross-entropy benchmarking is a technique used to evaluate the performance of probabilistic models, particularly in the context of machine learning and statistical modeling. It involves measuring the effectiveness of a model in predicting a distribution of outcomes by comparing the predicted probability distribution to the true distribution of the data. ### Key Concepts: 1. **Cross-Entropy**: The cross-entropy is a measure of the difference between two probability distributions.

 Ancestors (6)

  1. Quantum computing
  2. Information theory
  3. Applied mathematics
  4. Fields of mathematics
  5. Mathematics
  6.  Home

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook