--- title: Estimated Exhaustive Regression | daily.dev description: This article proposes the Estimated Exhaustive Regression (EER) procedure as a computationally feasible version of the Exhaustive Regression (ER) algorithm for... canonical: https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Estimated Exhaustive Regression | daily.dev og:description: This article proposes the Estimated Exhaustive Regression (EER) procedure as a computationally feasible version of the Exhaustive Regression (ER) algorithm for... og:url: https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i og:image: https://api.daily.dev/og/posts/yfEZtqA3I.png og:image:alt: Estimated Exhaustive Regression og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Estimated Exhaustive Regression **[GoPenAI](https://daily.dev/sources/gopenai)** · 3 min read · 0 upvotes · 0 comments ## Summary This article proposes the Estimated Exhaustive Regression (EER) procedure as a computationally feasible version of the Exhaustive Regression (ER) algorithm for variable selection in linear regression analysis. The EER algorithm is compared to other benchmark variable selection algorithms, including LASSO and Backward Elimination and Forward Selection variations of Stepwise Regression. The results show that EER has a lower False Negative Rate and comparable runtime to the benchmarks, making it a powerful tool for variable selection. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#regression-analysis](https://daily.dev/tags/regression-analysis), [#statistics](https://daily.dev/tags/statistics) [View this post on daily.dev](https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Estimated Exhaustive Regression","url":"https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i"},"datePublished":"2023-10-14T15:39:14.103Z","dateModified":"2024-02-20T02:13:37.689Z","description":"This article proposes the Estimated Exhaustive Regression (EER) procedure as a computationally feasible version of the Exhaustive Regression (ER) algorithm for...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4f10ff2cdb07fc166ac4732fdb461e57?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4f10ff2cdb07fc166ac4732fdb461e57?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"GoPenAI","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"GoPenAI","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f34dfd0c312c4a59b897eb64ad28d895","url":"https://daily.dev/sources/gopenai"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/estimated-exhaustive-regression-yfeztqa3i","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,regression-analysis,statistics","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"GoPenAI","item":"https://daily.dev/sources/gopenai"},{"@type":"ListItem","position":3,"name":"Estimated Exhaustive Regression"}]} ```