{"id":2137,"date":"2023-07-23T13:13:30","date_gmt":"2023-07-23T13:13:30","guid":{"rendered":"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/"},"modified":"2023-07-23T13:13:30","modified_gmt":"2023-07-23T13:13:30","slug":"menafsirkan-kemungkinan-log","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/","title":{"rendered":"Cara menafsirkan nilai log-likehood (dengan contoh)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Nilai log kemungkinan<\/strong> suatu model regresi merupakan salah satu cara untuk mengukur goodness of fit suatu model. Semakin tinggi nilai log-likelihood, semakin baik model tersebut cocok dengan kumpulan data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai log kemungkinan untuk model tertentu dapat berkisar dari tak terhingga negatif hingga tak terhingga positif. Nilai kemungkinan log aktual untuk model tertentu umumnya tidak ada artinya, namun <strong>berguna untuk membandingkan dua model atau lebih<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dalam praktiknya, kami sering kali memasukkan beberapa model regresi ke kumpulan data dan memilih model dengan nilai log-likelihood tertinggi sebagai model yang paling sesuai dengan data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menafsirkan nilai log-likelihood untuk model regresi yang berbeda dalam praktiknya.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Menafsirkan nilai log-likelihood<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Katakanlah kita memiliki kumpulan data berikut yang menunjukkan jumlah kamar tidur, jumlah kamar mandi, dan harga jual 20 rumah berbeda di lingkungan tertentu:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-19825 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/loglik1.png\" alt=\"\" width=\"274\" height=\"480\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Misalkan kita ingin menyesuaikan dua model regresi berikut dan menentukan model mana yang paling sesuai dengan data:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Model 1<\/strong> : Harga = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> (jumlah kamar)<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Model 2<\/strong> : Harga = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> (jumlah kamar mandi)<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menyesuaikan setiap model regresi dan menghitung nilai log-likelihood setiap model di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (beds=c(1, 1, 1, 2, 2, 2, 2, 3, 3, 3,\n                        3, 3, 3, 3, 4, 4, 4, 5, 5, 6),\n                 baths=c(2, 1, 4, 3, 2, 2, 3, 5, 4, 3,\n                         4, 4, 3, 4, 2, 4, 3, 5, 6, 7),\n                 price=c(120, 133, 139, 185, 148, 160, 192, 205, 244, 213,\n                         236, 280, 275, 273, 312, 311, 304, 415, 396, 488))\n\n<span style=\"color: #008080;\">#fitmodels\n<\/span>model1 &lt;- lm(price~beds, data=df)\nmodel2 &lt;- lm(price~baths, data=df)\n\n<span style=\"color: #008080;\">#calculate log-likelihood value of each model\n<\/span>logLik(model1)\n\n'log Lik.' -91.04219 (df=3)\n\nlogLik(model2)\n\n'log Lik.' -111.7511 (df=3)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Model pertama memiliki nilai log kemungkinan yang lebih tinggi ( <strong>-91.04<\/strong> ) dibandingkan model kedua ( <strong>-111.75<\/strong> ), yang berarti model pertama memberikan kesesuaian yang lebih baik dengan data.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Tindakan pencegahan untuk menggunakan nilai kemungkinan log<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Saat menghitung nilai kemungkinan log, penting untuk diperhatikan bahwa menambahkan variabel prediktor tambahan ke model hampir selalu meningkatkan nilai kemungkinan log, meskipun variabel prediktor tambahan tersebut tidak signifikan secara statistik.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Artinya Anda hanya boleh membandingkan nilai log kemungkinan antara dua model regresi jika setiap model memiliki jumlah variabel prediktor yang sama.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk membandingkan model dengan jumlah variabel prediktor yang berbeda, Anda dapat melakukan <a href=\"https:\/\/statorials.org\/id\/uji-rasio-kemungkinan-di-r\/\" target=\"_blank\" rel=\"noopener\">uji rasio kemungkinan<\/a> untuk membandingkan kesesuaian dua model regresi bertingkat.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/fungsi-lm-di-r\/\" target=\"_blank\" rel=\"noopener\">Cara menggunakan fungsi lm() agar sesuai dengan model linier di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/uji-rasio-kemungkinan-di-r\/\" target=\"_blank\" rel=\"noopener\">Cara melakukan uji rasio kemungkinan di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nilai log kemungkinan suatu model regresi merupakan salah satu cara untuk mengukur goodness of fit suatu model. Semakin tinggi nilai log-likelihood, semakin baik model tersebut cocok dengan kumpulan data. Nilai log kemungkinan untuk model tertentu dapat berkisar dari tak terhingga negatif hingga tak terhingga positif. Nilai kemungkinan log aktual untuk model tertentu umumnya tidak ada [&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 menafsirkan nilai log-likelihood (dengan contoh) - Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menginterpretasikan nilai log-likelihood untuk model regresi, beserta contohnya.\" \/>\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\/menafsirkan-kemungkinan-log\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menafsirkan nilai log-likelihood (dengan contoh) - Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menginterpretasikan nilai log-likelihood untuk model regresi, beserta contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T13:13:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/loglik1.png\" \/>\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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/\",\"url\":\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/\",\"name\":\"Cara menafsirkan nilai log-likelihood (dengan contoh) - Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-23T13:13:30+00:00\",\"dateModified\":\"2023-07-23T13:13:30+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menginterpretasikan nilai log-likelihood untuk model regresi, beserta contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/menafsirkan-kemungkinan-log\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menafsirkan nilai log-likehood (dengan contoh)\"}]},{\"@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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