{"id":1225,"date":"2023-07-27T05:41:59","date_gmt":"2023-07-27T05:41:59","guid":{"rendered":"https:\/\/statorials.org\/tr\/rde-rastgele-matkap\/"},"modified":"2023-07-27T05:41:59","modified_gmt":"2023-07-27T05:41:59","slug":"rde-rastgele-matkap","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/rde-rastgele-matkap\/","title":{"rendered":"R&#39;de rastgele ormanlar nas\u0131l olu\u015fturulur (ad\u0131m ad\u0131m)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Bir dizi yorday\u0131c\u0131 de\u011fi\u015fken ile bir <a href=\"https:\/\/statorials.org\/tr\/degiskenleri-aciklayici-yanitlar\/\" target=\"_blank\" rel=\"noopener noreferrer\">yan\u0131t de\u011fi\u015fkeni<\/a> aras\u0131ndaki ili\u015fki \u00e7ok karma\u015f\u0131k oldu\u011funda, aralar\u0131ndaki ili\u015fkiyi modellemek i\u00e7in genellikle do\u011frusal olmayan y\u00f6ntemler kullan\u0131r\u0131z.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu y\u00f6ntemlerden biri de <a href=\"https:\/\/statorials.org\/tr\/siniflandirma-ve-regresyon-agaclari\/\" target=\"_blank\" rel=\"noopener noreferrer\">karar a\u011fac\u0131<\/a> olu\u015fturmakt\u0131r. Bununla birlikte, tek bir karar a\u011fac\u0131 kullanman\u0131n dezavantaj\u0131, <a href=\"https:\/\/statorials.org\/tr\/onyargi-varyansi-uzlasmasi\/\" target=\"_blank\" rel=\"noopener noreferrer\">y\u00fcksek varyanslara<\/a> maruz kalma e\u011filiminde olmas\u0131d\u0131r.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Yani veri setini ikiye b\u00f6l\u00fcp karar a\u011fac\u0131n\u0131 her iki yar\u0131ya da uygularsak sonu\u00e7lar \u00e7ok farkl\u0131 olabilir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tek bir karar a\u011fac\u0131n\u0131n varyans\u0131n\u0131 azaltmak i\u00e7in kullanabilece\u011fimiz y\u00f6ntemlerden biri, a\u015fa\u011f\u0131daki gibi \u00e7al\u0131\u015fan bir <a href=\"https:\/\/statorials.org\/tr\/rastgele-matkaplar\/\" target=\"_blank\" rel=\"noopener noreferrer\">rastgele orman modeli<\/a> olu\u015fturmakt\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> Orijinal veri k\u00fcmesinden <em>b<\/em> \u00f6ny\u00fcklemeli \u00f6rnek al\u0131n.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> Her \u00f6ny\u00fckleme \u00f6rne\u011fi i\u00e7in bir karar a\u011fac\u0131 olu\u015fturun.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">A\u011fac\u0131 olu\u015ftururken, her b\u00f6l\u00fcnme dikkate al\u0131nd\u0131\u011f\u0131nda, <em>p<\/em> \u00f6ng\u00f6r\u00fcc\u00fclerin tam k\u00fcmesinden yaln\u0131zca rastgele bir <em>m<\/em> yorday\u0131c\u0131 \u00f6rne\u011fi b\u00f6l\u00fcnmeye aday olarak kabul edilir. Genellikle <em>m&#8217;yi<\/em> <span style=\"text-decoration: overline;\"><em>\u221ap&#8217;ye<\/em><\/span> e\u015fit olarak se\u00e7eriz.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>3.<\/strong> Nihai bir model elde etmek i\u00e7in her a\u011fa\u00e7tan elde edilen tahminlerin ortalamas\u0131n\u0131 al\u0131n.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Rastgele ormanlar\u0131n, tek karar a\u011fa\u00e7lar\u0131ndan ve hatta <a href=\"https:\/\/statorials.org\/tr\/rde-torbalama\/\" target=\"_blank\" rel=\"noopener noreferrer\">torbalanm\u0131\u015f modellerden<\/a> \u00e7ok daha do\u011fru modeller \u00fcretme e\u011filiminde oldu\u011fu ortaya \u00e7\u0131kt\u0131.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu \u00f6\u011fretici, R&#8217;deki bir veri k\u00fcmesi i\u00e7in rastgele orman modelinin nas\u0131l olu\u015fturulaca\u011f\u0131na ili\u015fkin ad\u0131m ad\u0131m bir \u00f6rnek sa\u011flar.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ad\u0131m 1: Gerekli paketleri y\u00fckleyin<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u00d6ncelikle bu \u00f6rnek i\u00e7in gerekli paketleri y\u00fckleyece\u011fiz. Bu basit \u00f6rnek i\u00e7in yaln\u0131zca bir pakete ihtiyac\u0131m\u0131z var:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (randomForest)\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Ad\u0131m 2: Rastgele Orman Modelini Ayarlay\u0131n<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Bu \u00f6rnek i\u00e7in, New York City&#8217;deki 153 ayr\u0131 g\u00fcn boyunca hava kalitesi \u00f6l\u00e7\u00fcmlerini i\u00e7eren, <strong>Hava Kalitesi<\/strong> ad\u0131 verilen yerle\u015fik bir R veri k\u00fcmesini kullanaca\u011f\u0131z.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view structure of air quality dataset<\/span>\nstr(airquality)\n\n'data.frame': 153 obs. of 6 variables:\n $ Ozone: int 41 36 12 18 NA 28 23 19 8 NA ...\n $Solar.R: int 190 118 149 313 NA NA 299 99 19 194 ...\n $ Wind: num 7.4 8 12.6 11.5 14.3 14.9 8.6 13.8 20.1 8.6 ...\n $ Temp: int 67 72 74 62 56 66 65 59 61 69 ...\n $Month: int 5 5 5 5 5 5 5 5 5 5 ...\n $Day: int 1 2 3 4 5 6 7 8 9 10 ...\n\n<span style=\"color: #008080;\">#find number of rows with missing values\n<\/span>sum(! <span style=\"color: #3366ff;\">complete<\/span> . <span style=\"color: #3366ff;\">cases<\/span> (airquality))\n\n[1] 42\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Bu veri k\u00fcmesinde eksik de\u011ferlerin bulundu\u011fu 42 sat\u0131r var. Bu nedenle, rastgele bir orman modeli yerle\u015ftirmeden \u00f6nce, her s\u00fctundaki eksik de\u011ferleri s\u00fctun medyanlar\u0131yla dolduraca\u011f\u0131z:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#replace NAs with column medians\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1: <span style=\"color: #3366ff;\">ncol<\/span> (air quality)) {\n  airquality[,i][ <span style=\"color: #3366ff;\">is<\/span> . <span style=\"color: #3366ff;\">na<\/span> (airquality[, i])] &lt;- <span style=\"color: #3366ff;\">median<\/span> (airquality[, i], <span style=\"color: #3366ff;\">na<\/span> . <span style=\"color: #3366ff;\">rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n}\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0130lgili:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/tr\/eksik-degerleri-rye-yukle\/\" target=\"_blank\" rel=\"noopener noreferrer\">R&#8217;de eksik de\u011ferlerin nas\u0131l atanaca\u011f\u0131<\/a><\/p>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki kod, <a href=\"https:\/\/cran.r-project.org\/web\/packages\/randomForest\/randomForest.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">randomForest<\/a> paketindeki <strong>randomForest()<\/strong> i\u015flevini kullanarak rastgele bir orman modelinin R&#8217;ye nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(1)\n\n<span style=\"color: #008080;\">#fit the random forest model\n<\/span>model &lt;- randomForest(\n  formula = Ozone ~ .,\n  data = airquality\n)\n\n<span style=\"color: #008080;\">#display fitted model\n<\/span>model\n\nCall:\n randomForest(formula = Ozone ~ ., data = airquality) \n               Type of random forest: regression\n                     Number of trees: 500\nNo. of variables tried at each split: 1\n\n          Mean of squared residuals: 327.0914\n                    % Var explained: 61\n\n<span style=\"color: #008080;\">#find number of trees that produce lowest test MSE\n<\/span>which.min(model$mse)\n\n[1] 82\n\n<span style=\"color: #008080;\">#find RMSE of best model\n<\/span>sqrt(model$mse[ <span style=\"color: #3366ff;\">which<\/span> . <span style=\"color: #3366ff;\">min<\/span> (model$mse)]) \n\n[1] 17.64392\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Sonu\u00e7tan, en d\u00fc\u015f\u00fck test ortalama kare hatas\u0131n\u0131 (MSE) \u00fcreten modelin <strong>82<\/strong> a\u011fa\u00e7 kulland\u0131\u011f\u0131n\u0131 g\u00f6rebiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu modelin ortalama kare hatas\u0131n\u0131n <strong>17,64392<\/strong> oldu\u011funu da g\u00f6rebiliyoruz.<\/span> <span style=\"color: #000000;\">Bunu ozon i\u00e7in tahmin edilen de\u011fer ile g\u00f6zlenen ger\u00e7ek de\u011fer aras\u0131ndaki ortalama fark olarak d\u00fc\u015f\u00fcnebiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Kullan\u0131lan a\u011fa\u00e7 say\u0131s\u0131na g\u00f6re MSE testinin bir grafi\u011fini olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu da kullanabiliriz:<\/span><\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#plot the MSE test by number of trees\n<\/span>plot(model)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12143 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/aleatoireforetr1.png\" alt=\"MSE'yi R'deki rastgele bir ormandaki a\u011fa\u00e7 say\u0131s\u0131na g\u00f6re test edin\" width=\"449\" height=\"439\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Ve son modeldeki her tahmin de\u011fi\u015fkeninin \u00f6nemini g\u00f6steren bir \u00e7izim olu\u015fturmak i\u00e7in <strong>varImpPlot()<\/strong> fonksiyonunu kullanabiliriz:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#produce variable importance plot<\/span>\nvarImpPlot(model) \n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12144 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/aleatoireforetr2.png\" alt=\"R'deki rastgele orman\" width=\"424\" height=\"442\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">X ekseni, y ekseninde g\u00f6r\u00fcnt\u00fclenen farkl\u0131 tahmin edicilere b\u00f6l\u00fcnmenin bir fonksiyonu olarak regresyon a\u011fa\u00e7lar\u0131n\u0131n d\u00fc\u011f\u00fcm safl\u0131\u011f\u0131nda ortalama art\u0131\u015f\u0131 g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Grafikten <em>R\u00fczgar&#8217;\u0131n<\/em> en \u00f6nemli belirleyici de\u011fi\u015fken oldu\u011funu ve onu <em>yak\u0131ndan<\/em> takip etti\u011fini g\u00f6rebiliyoruz.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>3. Ad\u0131m: Modeli ayarlay\u0131n<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Varsay\u0131lan olarak, <strong>randomForest()<\/strong> i\u015flevi, her b\u00f6l\u00fcnme i\u00e7in potansiyel adaylar olarak 500 a\u011fa\u00e7 ve (toplam tahminciler\/3) rastgele se\u00e7ilmi\u015f tahminciler kullan\u0131r. <strong>TuneRF()<\/strong> fonksiyonunu kullanarak bu parametreleri ayarlayabiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki kod, a\u015fa\u011f\u0131daki \u00f6zellikleri kullanarak en uygun modelin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>ntreeTry:<\/strong> Olu\u015fturulacak a\u011fa\u00e7 say\u0131s\u0131.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>mtryStart:<\/strong> her b\u00f6l\u00fcmde dikkate al\u0131nacak tahmin de\u011fi\u015fkenlerinin ba\u015flang\u0131\u00e7 say\u0131s\u0131.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>stepFactor:<\/strong> Tahmini torba d\u0131\u015f\u0131 hatas\u0131n\u0131n belirli bir miktarda iyile\u015fmesi durana kadar art\u0131r\u0131lacak fakt\u00f6r.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>iyile\u015ftirme:<\/strong> ad\u0131m fakt\u00f6r\u00fcn\u00fc art\u0131rmaya devam etmek i\u00e7in torba \u00e7\u0131k\u0131\u015f hatas\u0131n\u0131n iyile\u015ftirilmesi gereken miktar.<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>model_tuned &lt;- tuneRF(\n               x=airquality[,-1], <span style=\"color: #008080;\">#define predictor variables<\/span>\n               y=airquality$Ozone, <span style=\"color: #008080;\">#define response variable<\/span>\n               ntreeTry= <span style=\"color: #008000;\">500<\/span> ,\n               mtryStart= <span style=\"color: #008000;\">4<\/span> , \n               stepFactor= <span style=\"color: #008000;\">1.5<\/span> ,\n               improve= <span style=\"color: #008000;\">0.01<\/span> ,\n               trace= <span style=\"color: #008000;\">FALSE<\/span> <span style=\"color: #008080;\">#don't show real-time progress<\/span>\n               )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Bu i\u015flev, x ekseninde a\u011fa\u00e7lar olu\u015fturulurken her b\u00f6lmede kullan\u0131lan tahmincilerin say\u0131s\u0131n\u0131 ve y ekseninde tahmini torba d\u0131\u015f\u0131 hatas\u0131n\u0131 g\u00f6r\u00fcnt\u00fcleyen a\u015fa\u011f\u0131daki grafi\u011fi \u00fcretir:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12145 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/aleatoireforetr3.png\" alt=\"R'deki rastgele orman modelinin OOB hatas\u0131\" width=\"433\" height=\"378\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">A\u011fa\u00e7lar\u0131 olu\u015ftururken her b\u00f6lmede rastgele se\u00e7ilen <strong>2<\/strong> tahmincinin kullan\u0131lmas\u0131yla en d\u00fc\u015f\u00fck OOB hatas\u0131n\u0131n elde edildi\u011fini g\u00f6rebiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu asl\u0131nda ba\u015flang\u0131\u00e7taki <strong>randomForest()<\/strong> i\u015flevi taraf\u0131ndan kullan\u0131lan varsay\u0131lan ayara (toplam tahminciler\/3 = 6\/3 = 2) kar\u015f\u0131l\u0131k gelir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ad\u0131m 4: Tahminlerde bulunmak i\u00e7in son modeli kullan\u0131n<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Son olarak, yeni g\u00f6zlemler hakk\u0131nda tahminlerde bulunmak i\u00e7in d\u00fczeltilmi\u015f rastgele orman modelini kullanabiliriz.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define new observation\n<\/span>new &lt;- data.frame(Solar.R=150, Wind=8, Temp=70, Month=5, Day=5)\n\n<span style=\"color: #008080;\">#use fitted bagged model to predict Ozone value of new observation\n<\/span>predict(model, newdata=new)\n\n27.19442\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Uygun rastgele orman modeli, yorday\u0131c\u0131 de\u011fi\u015fkenlerin de\u011ferlerine dayanarak, bu belirli g\u00fcnde ozon de\u011ferinin <b>27.19442<\/b> olaca\u011f\u0131n\u0131 tahmin etmektedir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu \u00f6rnekte kullan\u0131lan R kodunun tamam\u0131n\u0131 <a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/random_forest.R\" target=\"_blank\" rel=\"noopener noreferrer\">burada<\/a> bulabilirsiniz.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bir dizi yorday\u0131c\u0131 de\u011fi\u015fken ile bir yan\u0131t de\u011fi\u015fkeni aras\u0131ndaki ili\u015fki \u00e7ok karma\u015f\u0131k oldu\u011funda, aralar\u0131ndaki ili\u015fkiyi modellemek i\u00e7in genellikle do\u011frusal olmayan y\u00f6ntemler kullan\u0131r\u0131z. Bu y\u00f6ntemlerden biri de karar a\u011fac\u0131 olu\u015fturmakt\u0131r. Bununla birlikte, tek bir karar a\u011fac\u0131 kullanman\u0131n dezavantaj\u0131, y\u00fcksek varyanslara maruz kalma e\u011filiminde olmas\u0131d\u0131r. Yani veri setini ikiye b\u00f6l\u00fcp karar a\u011fac\u0131n\u0131 her iki yar\u0131ya da uygularsak [&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-1225","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R&#039;de Rastgele Ormanlar Nas\u0131l Olu\u015fturulur (Ad\u0131m Ad\u0131m)<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde R&#039;de rastgele orman modellerinin nas\u0131l olu\u015fturulaca\u011f\u0131 ad\u0131m ad\u0131m bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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