{"id":7686,"date":"2025-10-18T07:03:04","date_gmt":"2025-10-18T07:03:04","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/10\/18\/machine-learning-meets-panel-data-what-practitioners-need-to-know\/"},"modified":"2025-10-18T07:03:04","modified_gmt":"2025-10-18T07:03:04","slug":"machine-learning-meets-panel-data-what-practitioners-need-to-know","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/10\/18\/machine-learning-meets-panel-data-what-practitioners-need-to-know\/","title":{"rendered":"Machine Learning Meets Panel Data: What Practitioners Need to Know"},"content":{"rendered":"<p>    Machine Learning Meets Panel Data: What Practitioners Need to Know<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>How to avoid overestimating machine learning models\u2019 performance, usefulness, and real-world applicability due to hidden data leakage<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/machine-learning-meets-panel-data-what-practitioners-need-to-know\/\">Machine Learning Meets Panel Data: What Practitioners Need to Know<\/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    Marco Letta<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/machine-learning-meets-panel-data-what-practitioners-need-to-know\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning Meets Panel Data: What Practitioners Need to Know How to avoid overestimating machine learning models\u2019 performance, usefulness, and real-world applicability due to hidden data leakage The post Machine Learning Meets Panel Data: What Practitioners Need to Know appeared first on Towards Data Science. Marco Letta 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":[62,2076,2806,2586,240,70,4037],"tags":[84,199,341],"class_list":["post-7686","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-algorithms","category-data-leakage","category-econometrics","category-editors-pick","category-machine-learning","category-panel-data","tag-data","tag-learning","tag-machine"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7686"}],"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=7686"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7686\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=7686"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=7686"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=7686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}