{"id":5371,"date":"2024-04-12T14:59:21","date_gmt":"2024-04-12T14:59:21","guid":{"rendered":"https:\/\/radicalbit.ai\/?post_type=glossary&#038;p=5371"},"modified":"2024-04-12T14:59:49","modified_gmt":"2024-04-12T14:59:49","slug":"least-squares-method","status":"publish","type":"glossary","link":"https:\/\/radicalbit.ai\/it\/resources\/glossary\/least-squares-method\/","title":{"rendered":"Least Squares Method"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The least squares method is a method used for estimating the parameter values of a <a href=\"https:\/\/radicalbit.ai\/resources\/glossary\/regression\/\">regression<\/a> equation, using the <a href=\"https:\/\/radicalbit.ai\/resources\/glossary\/mean-squared-error-mse\/\">Mean Squared Error (MSE)<\/a> as the <a href=\"https:\/\/radicalbit.ai\/resources\/glossary\/loss-function\/\">loss function.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The least squares method is a method used for estimating the parameter values of a regression equation, using the Mean Squared Error (MSE) as the&hellip;<\/p>\n","protected":false},"author":1,"featured_media":4814,"menu_order":0,"template":"","meta":{"footnotes":""},"class_list":["post-5371","glossary","type-glossary","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Least Squares Method | Radicalbit<\/title>\n<meta name=\"description\" content=\"The least squares method is a method for estimating the parameter values of a regression equation using the MSE as the loss function.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/radicalbit.ai\/it\/resources\/glossary\/least-squares-method\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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