{"id":6940,"date":"2025-09-18T07:02:20","date_gmt":"2025-09-18T07:02:20","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/18\/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models\/"},"modified":"2025-09-18T07:02:20","modified_gmt":"2025-09-18T07:02:20","slug":"roc-auc-explained-a-beginners-guide-to-evaluating-classification-models","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/18\/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models\/","title":{"rendered":"ROC AUC Explained: A Beginner\u2019s Guide to Evaluating Classification Models"},"content":{"rendered":"<p>    ROC AUC Explained: A Beginner\u2019s Guide to Evaluating Classification Models<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>Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models\/\">ROC AUC Explained: A Beginner\u2019s Guide to Evaluating Classification Models<\/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    Nikhil Dasari<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/roc-auc-explained-a-beginners-guide-to-evaluating-classification-models\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ROC AUC Explained: A Beginner\u2019s Guide to Evaluating Classification Models Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples. The post ROC AUC Explained: A Beginner\u2019s Guide to Evaluating Classification Models appeared first on Towards Data Science. Nikhil Dasari 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":[62,83,67,1205,70,157,3816],"tags":[2467,1319,2321],"class_list":["post-6940","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-deep-dives","category-logistic-regression","category-machine-learning","category-python","category-roc-auc-curve","tag-auc","tag-explained","tag-roc"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6940"}],"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=6940"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6940\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}