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<\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"When 50\/50 Isn\u2019t Optimal: Debunking Even Rebalancing A new theory of class imbalance demonstrates that the optimal training imbalance in a binary problem is not 50% The post When 50\/50 Isn\u2019t Optimal: Debunking Even Rebalancing appeared first on Towards Data Science. Marco Baity-Jesi 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":[62,3325,83,1240,704,70,3326],"tags":[1486,334],"class_list":["post-5589","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-class-imbalance","category-data-science","category-hyperparameter-tuning","category-imbalanced-data","category-machine-learning","category-performance","tag-optimal","tag-when"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5589"}],"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=5589"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5589\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=5589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=5589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=5589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}