{"id":6766,"date":"2025-09-11T07:02:24","date_gmt":"2025-09-11T07:02:24","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/11\/assessment-of-representativeness-between-two-populations-to-ensure-valid-performance-2\/"},"modified":"2025-09-11T07:02:24","modified_gmt":"2025-09-11T07:02:24","slug":"assessment-of-representativeness-between-two-populations-to-ensure-valid-performance-2","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/11\/assessment-of-representativeness-between-two-populations-to-ensure-valid-performance-2\/","title":{"rendered":"Is Your Training Data Representative? A Guide to Checking with PSI in Python"},"content":{"rendered":"<p>    Is Your Training Data Representative? A Guide to Checking with PSI in Python<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>Comparing Variable Distributions Between Two Datasets Using Population Stability Index (PSI) and Cram\u00e9r\u2019s V.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/assessment-of-representativeness-between-two-populations-to-ensure-valid-performance-2\/\">Is Your Training Data Representative? A Guide to Checking with PSI in Python<\/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    JUNIOR JUMBONG<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/assessment-of-representativeness-between-two-populations-to-ensure-valid-performance-2\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Is Your Training Data Representative? A Guide to Checking with PSI in Python Comparing Variable Distributions Between Two Datasets Using Population Stability Index (PSI) and Cram\u00e9r\u2019s V. The post Is Your Training Data Representative? A Guide to Checking with PSI in Python appeared first on Towards Data Science. JUNIOR JUMBONG 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":[62,3756,83,67,70,157,238],"tags":[84,3757,163],"class_list":["post-6766","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-distribution","category-data-science","category-deep-dives","category-machine-learning","category-python","category-statistics","tag-data","tag-psi","tag-your"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6766"}],"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=6766"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6766\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}