{"id":5309,"date":"2025-07-15T07:03:07","date_gmt":"2025-07-15T07:03:07","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/07\/15\/accuracy-is-dead-calibration-discrimination-and-other-metrics-you-actually-need\/"},"modified":"2025-07-15T07:03:07","modified_gmt":"2025-07-15T07:03:07","slug":"accuracy-is-dead-calibration-discrimination-and-other-metrics-you-actually-need","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/07\/15\/accuracy-is-dead-calibration-discrimination-and-other-metrics-you-actually-need\/","title":{"rendered":"Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need"},"content":{"rendered":"<p>    Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A deep dive into advanced evaluation for data scientists<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/accuracy-is-dead-calibration-discrimination-and-other-metrics-you-actually-need\/\">Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Pol Marin<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/accuracy-is-dead-calibration-discrimination-and-other-metrics-you-actually-need\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need A deep dive into advanced evaluation for data scientists The post Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need appeared first on Towards Data Science. Pol Marin Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,837,83,2875,1500,3217,1114],"tags":[807,1227,3218],"class_list":["post-5309","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-classification","category-data-science","category-evaluation-metrics","category-model-evaluation","category-predictive-algorithm","category-regression","tag-accuracy","tag-calibration","tag-dead"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5309"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=5309"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5309\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=5309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=5309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=5309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}