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[5] As discussed by critic Marshall Soules, medium specificity and media specific analysis are playing an important role in the emergence of new media art forms, such as Internet art. [6] Medium specificity suggests that a work of art can be said to be successful if it fulfills the promise contained in the medium used to bring the artwork into ...
Specificity (true negative rate) is the probability of a negative test result, conditioned on the individual truly being negative. If the true status of the condition cannot be known, sensitivity and specificity can be defined relative to a " gold standard test " which is assumed correct.
The specificity describes how closely the index terms match the topics they represent [10] An index is said to be specific if the indexer uses parallel descriptors to the concept of the document and reflects the concepts precisely. [11] Specificity tends to increase with exhaustivity as the more terms you include, the narrower those terms will be.
In a diagnostic test, specificity is a measure of how well a test can identify true negatives. Specificity is also referred to as selectivity or true negative rate, and it is the percentage, or proportion, of the true negatives out of all the samples that do not have the condition (true negatives and false positives).
The relationship between sensitivity and specificity, as well as the performance of the classifier, can be visualized and studied using the Receiver Operating Characteristic (ROC) curve. In theory, sensitivity and specificity are independent in the sense that it is possible to achieve 100% in both (such as in the red/blue ball example given above).
Specificity (statistics), the proportion of negatives in a binary classification test which are correctly identified; Sensitivity and specificity, in relation to medical diagnostics; Specificity (linguistics), whether a noun phrase has a particular referent as opposed to referring to any member of a class
A classification model (classifier or diagnosis [7]) is a mapping of instances between certain classes/groups.Because the classifier or diagnosis result can be an arbitrary real value (continuous output), the classifier boundary between classes must be determined by a threshold value (for instance, to determine whether a person has hypertension based on a blood pressure measure).
In English, the concept of specificity is often denoted by the use of particular adjectives, such as certain.Indefinite noun phrases without these adjectives, like a chair, one coat, or three men, can typically be understood as either specific or non-specific, leaving them unmarked for specificity.