{"id":894,"date":"2024-12-31T07:03:36","date_gmt":"2024-12-31T07:03:36","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/12\/31\/how-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f\/"},"modified":"2024-12-31T07:03:36","modified_gmt":"2024-12-31T07:03:36","slug":"how-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/12\/31\/how-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f\/","title":{"rendered":"How to Ensure the Stability of a Model Using Jackknife Estimation"},"content":{"rendered":"<p>    How to Ensure the Stability of a Model Using Jackknife Estimation<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<div class=\"medium-feed-item\">\n<p class=\"medium-feed-image\"><a href=\"https:\/\/towardsdatascience.com\/how-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/2600\/0*YQNqr1ayML9paUsi\" width=\"4016\"><\/a><\/p>\n<p class=\"medium-feed-snippet\">How to ensure the robustness of a model and detect  influential data observations<\/p>\n<p class=\"medium-feed-link\"><a href=\"https:\/\/towardsdatascience.com\/how-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f\">Continue reading on Towards Data Science \u00bb<\/a><\/p>\n<\/div>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Paula LC<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/medium.com\/m\/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-ensure-stability-of-a-model-using-jacknife-estimation-23d0dde2cd1f\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How to Ensure the Stability of a Model Using Jackknife Estimation How to ensure the robustness of a model and detect influential data observations Continue reading on Towards Data Science \u00bb Paula LC 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":[62,640,83,70,1032,238],"tags":[1033,7,103],"class_list":["post-894","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-bias","category-data-science","category-machine-learning","category-robustness","category-statistics","tag-ensure","tag-how","tag-model"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/894"}],"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=894"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/894\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=894"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}