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  2. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    A precision-recall curve plots precision as a function of recall; usually precision will decrease as the recall increases. Alternatively, values for one measure can be compared for a fixed level at the other measure (e.g. precision at a recall level of 0.75) or both are combined into a single measure.

  3. Evaluation of binary classifiers - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_binary...

    Commonly used metrics include the notions of precision and recall. In this context, precision is defined as the fraction of documents correctly retrieved compared to the documents retrieved (true positives divided by true positives plus false positives), using a set of ground truth relevant results selected by humans. Recall is defined as the ...

  4. F-score - Wikipedia

    en.wikipedia.org/wiki/F-score

    Precision and recall. In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly ...

  5. P4-metric - Wikipedia

    en.wikipedia.org/wiki/P4-metric

    Thus, our goal is to distinguish between the cats and dogs. The classifier overpredicts in favor of cats ("positive" samples): 99.99% of cats are classified correctly and only 1% of dogs are classified correctly. The image dataset consists of 100000 images, 90% of which are pictures of cats and 10% are pictures of dogs.

  6. Looking to improve your dog's recall? You need this trainer's ...

    www.aol.com/looking-improve-dogs-recall-trainers...

    Recall is important for any dog to learn, and your pup having a solid recall can make life so much easier for both of you – and there’s no time like the present to work on it!

  7. Binary classification - Wikipedia

    en.wikipedia.org/wiki/Binary_classification

    In informational retrieval, the main ratios are the true positive ratios (row and column) – positive predictive value and true positive rate – where they are known as precision and recall. Cullerne Bown has suggested a flow chart for determining which pair of indicators should be used when. [1] Otherwise, there is no general rule for deciding.

  8. FDA issues recall on popular dog treat sold in 19 states that ...

    www.aol.com/news/fda-issues-recall-popular-dog...

    The U.S. Food and Drug Administration has issued a Class I recall — the agency’s most serious risk level — for dog treats sold both online and in stores across 19 states.

  9. Training recall in dogs: Everything you need to know for ...

    www.aol.com/training-recall-dogs-everything-know...

    Start in a safe and secure place. And by that, we mean your home or garden. Make it positive. Have some of the best puppy treats, dog treats and/or the best dog toys to help reward your pooch with ...