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  2. File:Precision and recall.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Precision_and_recall.pdf

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    Cleverdon’s experiments established a number of key aspects required for IR evaluation: a test collection, a set of queries and a set of pre-determined relevant items which combined would determine precision and recall. Cleverdon's approach formed a blueprint for the successful Text Retrieval Conference series that began in 1992.

  4. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).

  5. 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 ...

  6. 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 ...

  7. Fowlkes–Mallows index - Wikipedia

    en.wikipedia.org/wiki/Fowlkes–Mallows_Index

    is the true positive rate, also called sensitivity or recall, and is the positive predictive rate, also known as precision. The minimum possible value of the Fowlkes–Mallows index is 0, which corresponds to the worst binary classification possible, where all the elements have been misclassified.

  8. Infrared spectroscopy - Wikipedia

    en.wikipedia.org/wiki/Infrared_spectroscopy

    Infrared spectroscopy (IR spectroscopy or vibrational spectroscopy) is the measurement of the interaction of infrared radiation with matter by absorption, emission, or reflection. It is used to study and identify chemical substances or functional groups in solid, liquid, or gaseous forms. It can be used to characterize new materials or identify ...

  9. Cyril Cleverdon - Wikipedia

    en.wikipedia.org/wiki/Cyril_Cleverdon

    The test collection serves as a standard for testing retrieval approaches, and the success of each approach is measured in terms of two measures: precision and recall. Test collections and evaluation measures based on precision and recall are driving forces behind modern research on search systems.