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<p>the sum of true positives and <a href="page.php?w=Type_I_and_type_II_errors">false negatives</a>, which are items which were not labelled as belonging to the positive class but should have been).</p>

<p>Precision and recall are not particularly useful metrics when used in isolation. For instance, it is possible to have perfect recall by simply retrieving every single item. Likewise, it is possible to achieve perfect precision by selecting only a very small number of extremely likely items.</p>

<p>In a classification task, a precision score</p><p>
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