{"id":2241,"date":"2023-07-23T03:03:16","date_gmt":"2023-07-23T03:03:16","guid":{"rendered":"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/"},"modified":"2023-07-23T03:03:16","modified_gmt":"2023-07-23T03:03:16","slug":"pengkodean-panas-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/","title":{"rendered":"Bagaimana melakukan one-hot encoding di r"},"content":{"rendered":"

<\/p>\n

\n

Enkode one-hot<\/strong> digunakan untuk mengonversi variabel kategori ke dalam format yang dapat digunakan oleh algoritme pembelajaran mesin .<\/span><\/p>\n

Ide dasar dari one-hot coding adalah membuat variabel baru yang mengambil nilai 0 dan 1 untuk mewakili nilai kategorikal aslinya.<\/span><\/p>\n

Misalnya, gambar berikut menunjukkan bagaimana kita melakukan enkode one-hot untuk mengonversi variabel kategorikal yang berisi nama tim menjadi variabel baru yang hanya berisi nilai 0 dan 1:<\/span> <\/p>\n

\"\"<\/p>\n

Contoh langkah demi langkah berikut menunjukkan cara melakukan pengkodean satu kali untuk kumpulan data persis ini di R.<\/span><\/p>\n

Langkah 1: Buat datanya<\/strong><\/span><\/h3>\n

Pertama, mari buat bingkai data berikut di R:<\/span><\/p>\n

 #create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'),\n                 points=c(25, 12, 15, 14, 19, 23, 25, 29))\n\n#view data frame\n<\/span>df\n\n  team points\n1 to 25\n2 to 12\n3 B 15\n4 B 14\n5 B 19\n6 B 23\n7 C 25\n8 C 29\n<\/strong><\/pre>\n
 Langkah 2: Lakukan pengkodean one-hot<\/strong><\/span><\/h3>\n
 Selanjutnya, mari kita gunakan fungsi dummyVars()<\/strong> dari paket caret<\/b> untuk mengkodekan variabel ‘tim’ dalam bingkai data:<\/span><\/p>\n
 library (<\/span><\/span> caret)\n\n#define one-hot encoding function\n<\/span>dummy <- dummyVars(\" ~ .<\/span> \", data=df)\n\n#perform one-hot encoding on data frame\n<\/span>final_df <- data. frame<\/span> (predict(dummy, newdata=df))\n\n#view final data frame\n<\/span>final_df\n\n  teamA teamB teamC points\n1 1 0 0 25\n2 1 0 0 12\n3 0 1 0 15\n4 0 1 0 14\n5 0 1 0 19\n6 0 1 0 23\n7 0 0 1 25\n8 0 0 1 29<\/strong><\/pre>\n
 Perhatikan bahwa tiga kolom baru telah ditambahkan ke bingkai data karena kolom “tim” asli berisi tiga nilai unik.<\/span><\/p>\n
 Perhatikan juga bahwa kolom “tim” asli telah dihapus dari bingkai data karena tidak diperlukan lagi.<\/span><\/p>\n
 Enkode one-hot telah selesai dan sekarang kami dapat memasukkan kumpulan data ini ke dalam algoritma pembelajaran mesin pilihan kami.<\/span><\/p>\n
 Catatan<\/strong> : Anda dapat menemukan dokumentasi online lengkap untuk fungsi dummyVars()<\/strong> di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut memberikan informasi tambahan tentang penggunaan variabel kategori:<\/span><\/p>\n
 Cara membuat variabel kategori di R<\/a>
 Cara memplot data kategorikal di R<\/a>
 Variabel kategoris atau kuantitatif: apa bedanya?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Enkode one-hot digunakan untuk mengonversi variabel kategori ke dalam format yang dapat digunakan oleh algoritme pembelajaran mesin . Ide dasar dari one-hot coding adalah membuat variabel baru yang mengambil nilai 0 dan 1 untuk mewakili nilai kategorikal aslinya. Misalnya, gambar berikut menunjukkan bagaimana kita melakukan enkode one-hot untuk mengonversi variabel kategorikal yang berisi nama tim […]<\/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":"\nBagaimana melakukan One-Hot Encoding di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara enkode one-hot di R, termasuk contoh langkah demi langkah.\" \/>\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\/pengkodean-panas-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bagaimana melakukan One-Hot Encoding di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara enkode one-hot di R, termasuk contoh langkah demi langkah.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T03:03:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/unhot1.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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/\",\"name\":\"Bagaimana melakukan One-Hot Encoding di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-23T03:03:16+00:00\",\"dateModified\":\"2023-07-23T03:03:16+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara enkode one-hot di R, termasuk contoh langkah demi langkah.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/pengkodean-panas-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Bagaimana melakukan one-hot encoding di r\"}]},{\"@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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