{"id":679,"date":"2023-07-29T02:54:19","date_gmt":"2023-07-29T02:54:19","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%a6%e3%82%99rmse%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/"},"modified":"2023-07-29T02:54:19","modified_gmt":"2023-07-29T02:54:19","slug":"r%e3%81%a6%e3%82%99rmse%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%a6%e3%82%99rmse%e3%82%92%e8%a8%88%e7%ae%97%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/","title":{"rendered":"R \u3067 rmse \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u4e8c\u4e57\u5e73\u5747\u5e73\u65b9\u6839\u8aa4\u5dee (RMSE) \u306f\u3001<\/strong>\u56de\u5e30\u5206\u6790\u3067\u4e88\u6e2c\u5024\u304c\u89b3\u6e2c\u5024\u304b\u3089\u5e73\u5747\u3057\u3066\u3069\u306e\u7a0b\u5ea6\u96e2\u308c\u3066\u3044\u308b\u304b\u3092\u793a\u3059\u5c3a\u5ea6\u3067\u3059\u3002\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/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;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u03a3\u306f\u300c\u548c\u300d\u3092\u610f\u5473\u3059\u308b\u6d3e\u624b\u306a\u8a18\u53f7\u3067\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\">Pi<sub>\u306f<\/sub>\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e<sup>i \u756a\u76ee<\/sup>\u306e\u89b3\u6e2c\u5024\u306e\u4e88\u6e2c\u5024\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">O <sub>i<\/sub>\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e<sup>i \u756a\u76ee<\/sup>\u306e\u89b3\u6e2c\u5024\u306e\u89b3\u6e2c\u5024\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">n \u306f\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3067\u3059<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067 RMSE \u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b 2 \u3064\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: \u72ec\u81ea\u306e\u95a2\u6570\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5b9f\u969b\u306e\u30c7\u30fc\u30bf\u5024\u3092\u542b\u3080\u5217\u3068\u4e88\u6e2c\u30c7\u30fc\u30bf\u5024\u3092\u542b\u3080\u5217\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dataset<\/span>\ndata &lt;- data.frame(actual=c(34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24),\n                   predicted=c(37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23))\n<span style=\"color: #008080;\">\n#view dataset<\/span>\ndata\n\n   actual predicted\n1 34 37\n2 37 40\n3 44 46\n4 47 44\n5 48 46\n6 48 50\n7 46 45\n8 43 44\n9 32 34\n10 27 30\n11 26 22\n12 24 23\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">RMSE \u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate RMSE<\/span>\nsqrt(mean((data$actual - data$predicted)^2))\n\n[1] 2.43242\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\u306f<strong>2.43242<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b<strong>Metrics<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>rmse()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u540c\u3058\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e RMSE \u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>rmse (\u5b9f\u7e3e\u3001\u8a08\u753b)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>real:<\/strong>\u5b9f\u6570\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u4e88\u6e2c:<\/strong>\u4e88\u6e2c\u5024<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u4f7f\u7528\u3059\u308b\u69cb\u6587\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load Metrics package\n<\/span>library(Metrics)\n\n<span style=\"color: #008080;\">calculate RMSE\n<\/span>rmse(data$actual, data$predicted)\n\n[1] 2.43242<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\u306f<strong>2.43242<\/strong>\u3067\u3001\u3053\u308c\u306f\u72ec\u81ea\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u4ee5\u524d\u306b\u8a08\u7b97\u3057\u305f\u5024\u3068\u4e00\u81f4\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2> <strong>RMSE\u306e\u89e3\u91c8\u65b9\u6cd5<\/strong><\/h2>\n<p><span style=\"color: #000000;\">RMSE \u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u304c\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3069\u306e\u7a0b\u5ea6\u9069\u5408\u3067\u304d\u308b\u304b\u3092\u78ba\u8a8d\u3059\u308b\u306e\u306b\u4fbf\u5229\u306a\u65b9\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">RMSE \u304c\u5927\u304d\u3044\u307b\u3069\u3001\u4e88\u6e2c\u5024\u3068\u89b3\u6e2c\u5024\u306e\u5dee\u304c\u5927\u304d\u304f\u306a\u308a\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u30c7\u30fc\u30bf\u3078\u306e\u9069\u5408\u6027\u304c\u4f4e\u4e0b\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u9006\u306b\u3001RMSE \u304c\u5c0f\u3055\u3044\u307b\u3069\u3001\u30e2\u30c7\u30eb\u306f\u30c7\u30fc\u30bf\u306b\u3046\u307e\u304f\u9069\u5408\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u7570\u306a\u308b\u30e2\u30c7\u30eb\u306e RMSE \u3092\u6bd4\u8f03\u3057\u3066\u3001\u3069\u306e\u30e2\u30c7\u30eb\u304c\u30c7\u30fc\u30bf\u306b\u6700\u3082\u9069\u5408\u3059\u308b\u304b\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u306f\u7279\u306b\u4fbf\u5229\u3067\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u5b9f\u52b9\u5024\u8a08\u7b97\u6a5f\/\" target=\"_blank\" rel=\"noopener noreferrer\">RMSE\u8a08\u7b97\u6a5f<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u3066\u3099mse\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067 MSE \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u30ab\u30fc\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener noreferrer\">R\u3067MAPE\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e8c\u4e57\u5e73\u5747\u5e73\u65b9\u6839\u8aa4\u5dee (RMSE) \u306f\u3001\u56de\u5e30\u5206\u6790\u3067\u4e88\u6e2c\u5024\u304c\u89b3\u6e2c\u5024\u304b\u3089\u5e73\u5747\u3057\u3066\u3069\u306e\u7a0b\u5ea6\u96e2\u308c\u3066\u3044\u308b\u304b\u3092\u793a\u3059\u5c3a\u5ea6\u3067\u3059\u3002\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002 RMSE = \u221a[ \u03a3(P i \u2013 O i ) 2 \/ n ] \u91d1\uff1a \u03a3\u306f\u300c\u548c\u300d\u3092\u610f [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-679","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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