{"id":990,"date":"2023-07-28T02:02:31","date_gmt":"2023-07-28T02:02:31","guid":{"rendered":"https:\/\/statorials.org\/nl\/rmse-python\/"},"modified":"2023-07-28T02:02:31","modified_gmt":"2023-07-28T02:02:31","slug":"rmse-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/rmse-python\/","title":{"rendered":"Hoe rmse in python te berekenen"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Root Mean Square Error (RMSE)<\/strong> is een metriek die ons vertelt hoe ver onze voorspelde waarden gemiddeld verwijderd zijn van onze waargenomen waarden in een model. Het wordt als volgt berekend:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>RMSE<\/strong> = \u221a[ \u03a3(P <sub>ik<\/sub> \u2013 O <sub>ik<\/sub> ) <sup>2<\/sup> \/ n ]<\/span><\/p>\n<p> <span style=\"color: #000000;\">Goud:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u03a3 is een mooi symbool dat \u2018som\u2019 betekent<\/span><\/li>\n<li> <span style=\"color: #000000;\"><sub>Pi<\/sub> is de voorspelde waarde voor de <sup>i-<\/sup> de waarneming<\/span><\/li>\n<li> <span style=\"color: #000000;\">O <sub>i<\/sub> is de waargenomen waarde voor de <sup>i-<\/sup> de waarneming<\/span><\/li>\n<li> <span style=\"color: #000000;\">n is de steekproefomvang<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">In deze tutorial wordt een eenvoudige methode uitgelegd om RMSE in Python te berekenen.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld: Bereken RMSE in Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Stel dat we de volgende tabellen met werkelijke en voorspelde waarden hebben:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>actual= [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24]\npred = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Om de RMSE tussen de werkelijke en voorspelde waarden te berekenen, kunnen we eenvoudigweg de vierkantswortel nemen van de<\/span> functie <a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.metrics.mean_squared_error.html\" target=\"_blank\" rel=\"noopener noreferrer\">Mean_squared_error()<\/a> <span style=\"color: #000000;\">uit de sklearn.metrics-bibliotheek:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #008080;\">#import necessary libraries<\/span>\nfrom<\/span> sklearn.metrics <span style=\"color: #008000;\">import<\/span> mean_squared_error\n<span style=\"color: #008000;\">from<\/span> math <span style=\"color: #008000;\">import<\/span> sqrt\n\n<span style=\"color: #008080;\">#calculate RMSE\n<\/span>sqrt(mean_squared_error(actual, pred)) \n\n2.4324199198\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">De RMSE blijkt <strong>2.4324<\/strong> te zijn.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Hoe de RMSE te interpreteren<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">RMSE is een handige manier om te zien hoe goed een model in een dataset past.<\/span> <span style=\"color: #000000;\">Hoe groter de RMSE, hoe groter het verschil tussen de voorspelde en waargenomen waarden, wat betekent dat hoe slechter het model bij de gegevens past. Omgekeerd geldt: hoe kleiner de RMSE, hoe beter het model bij de gegevens kan passen.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Het kan bijzonder nuttig zijn om de RMSE van twee verschillende modellen te vergelijken om te zien welk model het beste bij de gegevens past.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Aanvullende bronnen<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/nl\/rmse-rekenmachine\/\" target=\"_blank\" rel=\"noopener noreferrer\">RMSE-calculator<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/betekent-vierkante-fout-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Hoe de gemiddelde kwadratische fout (MSE) in Python te berekenen<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/python-kaart\/\" target=\"_blank\" rel=\"noopener noreferrer\">Hoe MAPE in Python te berekenen<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Root Mean Square Error (RMSE) is een metriek die ons vertelt hoe ver onze voorspelde waarden gemiddeld verwijderd zijn van onze waargenomen waarden in een model. Het wordt als volgt berekend: RMSE = \u221a[ \u03a3(P ik \u2013 O ik ) 2 \/ n ] Goud: \u03a3 is een mooi symbool dat \u2018som\u2019 betekent Pi is [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-990","post","type-post","status-publish","format-standard","hentry","category-gids"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hoe RMSE in Python te berekenen - Statorials<\/title>\n<meta name=\"description\" content=\"Een eenvoudige uitleg over het berekenen van RMSE in Python.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/nl\/rmse-python\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hoe RMSE in Python te berekenen - Statorials\" \/>\n<meta property=\"og:description\" content=\"Een eenvoudige uitleg over het berekenen van RMSE in Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/nl\/rmse-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T02:02:31+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u00a0Minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/nl\/rmse-python\/\",\"url\":\"https:\/\/statorials.org\/nl\/rmse-python\/\",\"name\":\"Hoe RMSE in Python te berekenen - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/nl\/#website\"},\"datePublished\":\"2023-07-28T02:02:31+00:00\",\"dateModified\":\"2023-07-28T02:02:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\"},\"description\":\"Een eenvoudige uitleg over het berekenen van RMSE in Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/nl\/rmse-python\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/nl\/rmse-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/nl\/rmse-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Thuis\",\"item\":\"https:\/\/statorials.org\/nl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Hoe rmse in python te berekenen\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/nl\/#website\",\"url\":\"https:\/\/statorials.org\/nl\/\",\"name\":\"Statorials\",\"description\":\"Uw gids voor statistische competentie\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/nl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. 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