{"id":991,"date":"2023-07-28T02:02:31","date_gmt":"2023-07-28T02:02:31","guid":{"rendered":"https:\/\/statorials.org\/id\/benar-python\/"},"modified":"2023-07-28T02:02:31","modified_gmt":"2023-07-28T02:02:31","slug":"benar-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/benar-python\/","title":{"rendered":"Cara menghitung rmse dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Root Mean Square Error (RMSE)<\/strong> adalah metrik yang memberi tahu kita seberapa jauh rata-rata nilai prediksi kita dari nilai observasi dalam suatu model. Ini dihitung sebagai berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>RMSE<\/strong> = \u221a[ \u03a3(P <sub>i<\/sub> \u2013 O <sub>i<\/sub> ) <sup>2<\/sup> \/ n ]<\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u03a3 adalah simbol mewah yang berarti \u201cjumlah\u201d<\/span><\/li>\n<li> <span style=\"color: #000000;\">P <sub>i<\/sub> adalah nilai prediksi pengamatan <sup>ke-i<\/sup><\/span><\/li>\n<li> <span style=\"color: #000000;\">O <sub>i<\/sub> adalah nilai observasi untuk observasi <sup>ke-i<\/sup><\/span><\/li>\n<li> <span style=\"color: #000000;\">n adalah ukuran sampel<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan metode sederhana untuk menghitung RMSE dengan Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Hitung RMSE dengan Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita mempunyai tabel nilai aktual dan prediksi berikut ini:<\/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;\">Untuk menghitung RMSE antara nilai aktual dan prediksi, kita cukup mengambil akar kuadrat fungsi<\/span> <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;\">dari pustaka sklearn.metrics:<\/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;\">RMSE ternyata <strong>2,4324<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Bagaimana menafsirkan RMSE<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">RMSE adalah cara yang berguna untuk melihat seberapa baik suatu model dapat menyesuaikan dengan kumpulan data.<\/span> <span style=\"color: #000000;\">Semakin besar RMSE, semakin besar perbedaan antara nilai prediksi dan observasi, yang berarti semakin buruk kesesuaian model dengan data. Sebaliknya, semakin kecil RMSE, maka model tersebut semakin mampu menyesuaikan dengan data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Akan sangat berguna jika membandingkan RMSE dari dua model berbeda untuk melihat model mana yang paling sesuai dengan data.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/kalkulator-rmse\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kalkulator RMSE<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/berarti-python-kesalahan-persegi\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara Menghitung Mean Square Error (MSE) dengan Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kartu-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara menghitung MAPE dengan Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Root Mean Square Error (RMSE) adalah metrik yang memberi tahu kita seberapa jauh rata-rata nilai prediksi kita dari nilai observasi dalam suatu model. Ini dihitung sebagai berikut: RMSE = \u221a[ \u03a3(P i \u2013 O i ) 2 \/ n ] Emas: \u03a3 adalah simbol mewah yang berarti \u201cjumlah\u201d P i adalah nilai prediksi pengamatan ke-i [&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":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara Menghitung RMSE dengan Python - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara menghitung RMSE dengan 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\/id\/benar-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Menghitung RMSE dengan Python - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara menghitung RMSE dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/benar-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=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/benar-python\/\",\"url\":\"https:\/\/statorials.org\/id\/benar-python\/\",\"name\":\"Cara Menghitung RMSE dengan Python - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T02:02:31+00:00\",\"dateModified\":\"2023-07-28T02:02:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara menghitung RMSE dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/benar-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/benar-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/benar-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung rmse dengan python\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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