{"id":691,"date":"2022-10-26T12:14:33","date_gmt":"2022-10-26T11:14:33","guid":{"rendered":"https:\/\/orange-attractor.eu\/?p=691"},"modified":"2022-10-27T08:49:53","modified_gmt":"2022-10-27T07:49:53","slug":"meet-p4-metric-new-way-to-evaluate-binary-classifiers","status":"publish","type":"post","link":"https:\/\/orange-attractor.eu\/?p=691","title":{"rendered":"Meet P4 metric &#8211; new way to evaluate binary classifiers"},"content":{"rendered":"<h2>Introduction<\/h2>\n<p>Binary classifiers are accompanying us on a daily basis. Tests that detect disease, give us the answer: positive\/negative, spam filters say spam\/not spam, smartphones that authenticate us based on a face scan or fingerprint &#8211; make a known\/unknown decision. The question: how to evaluate the efficiency of such a classifier does not seem extremely complicated. Just choose the one that will predict the most cases correctly. As many of us have already realized &#8211; the actual evaluation of a binary classifier requires somewhat more sophisticated means. But we&#8217;ll talk about that in a moment.<\/p>\n<p><!--more--><\/p>\n<h3>Continuation: <a href=\"https:\/\/orange-attractor.eu\/a\/691\">https:\/\/orange-attractor.eu\/a\/691<\/a><\/h3>\n<h3>Redirecting&#8230;<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Binary classifiers are accompanying us on a daily basis. Tests that detect disease, give us the answer: positive\/negative, spam filters say spam\/not spam, smartphones that authenticate us based on a face scan or fingerprint &#8211; make a known\/unknown decision. The question: how to evaluate the efficiency of such a classifier does not seem extremely&hellip; <a class=\"read-more\" href=\"https:\/\/orange-attractor.eu\/?p=691\">Read More<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[17,18],"class_list":["post-691","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-f1","tag-p4"],"_links":{"self":[{"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/posts\/691"}],"collection":[{"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=691"}],"version-history":[{"count":13,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/posts\/691\/revisions"}],"predecessor-version":[{"id":706,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=\/wp\/v2\/posts\/691\/revisions\/706"}],"wp:attachment":[{"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=691"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=691"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/orange-attractor.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=691"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}