{"id":4441,"date":"2023-07-11T02:36:29","date_gmt":"2023-07-11T02:36:29","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-lojistik-regresyon-tahmini\/"},"modified":"2023-07-11T02:36:29","modified_gmt":"2023-07-11T02:36:29","slug":"r-lojistik-regresyon-tahmini","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-lojistik-regresyon-tahmini\/","title":{"rendered":"Predict () r&#39;de lojistik regresyon modeliyle nas\u0131l kullan\u0131l\u0131r?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R&#8217;ye bir <a href=\"https:\/\/statorials.org\/tr\/lojistik-regresyon-1\/\" target=\"_blank\" rel=\"noopener\">lojistik regresyon modeli<\/a> yerle\u015ftirdikten sonra, modelin daha \u00f6nce hi\u00e7 g\u00f6rmedi\u011fi yeni bir g\u00f6zlemin yan\u0131t de\u011ferini tahmin etmek i\u00e7in <strong>tahmin()<\/strong> i\u015flevini kullanabiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>tahmin(nesne, yeniveri, t\u00fcr = \u201cyan\u0131t\u201d)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>nesne:<\/strong> Lojistik regresyon modelinin ad\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>newdata:<\/strong> Tahminlerde bulunulacak yeni veri \u00e7er\u00e7evesinin ad\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>type:<\/strong> Yap\u0131lacak tahminin t\u00fcr\u00fc<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u00d6rnek: Predict() i\u015flevini R&#8217;de Lojistik Regresyon Modeli ile Kullanmak<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Bu \u00f6rnek i\u00e7in <a href=\"https:\/\/statorials.org\/tr\/mtcars-r-veri-kumesi\/\" target=\"_blank\" rel=\"noopener\">mtcars<\/a> ad\u0131 verilen yerle\u015fik R veri k\u00fcmesini kullanaca\u011f\u0131z:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>mtcars<\/em> dataset<\/span>\nhead(mtcars)\n\n                   mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Am<\/strong> tepki de\u011fi\u015fkenini (arac\u0131n \u015fanz\u0131man tipi: 0 = otomatik, 1 = manuel) tahmin etmek i\u00e7in <strong>disp<\/strong> ve <strong>hp<\/strong> de\u011fi\u015fkenlerini kulland\u0131\u011f\u0131m\u0131z a\u015fa\u011f\u0131daki lojistik regresyon modelini uygulayaca\u011f\u0131z:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit logistic regression model<\/span>\nmodel &lt;- glm(am ~ disp + hp, data=mtcars, family=binomial)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = am ~ disp + hp, family = binomial, data = mtcars)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-1.9665 -0.3090 -0.0017 0.3934 1.3682  \n\nCoefficients:\n            Estimate Std. Error z value Pr(&gt;|z|)  \n(Intercept) 1.40342 1.36757 1.026 0.3048  \navailable -0.09518 0.04800 -1.983 0.0474 *\nhp 0.12170 0.06777 1.796 0.0725 .\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 43,230 on 31 degrees of freedom\nResidual deviance: 16,713 on 29 degrees of freedom\nAIC: 22,713\n\nNumber of Fisher Scoring iterations: 8\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Daha sonra, modelin daha \u00f6nce hi\u00e7 g\u00f6rmedi\u011fi sekiz araba hakk\u0131nda bilgi i\u00e7eren yeni bir veri \u00e7er\u00e7evesi olu\u015fturabilir ve yeni bir araban\u0131n otomatik \u015fanz\u0131mana (am=0) veya manuel \u015fanz\u0131mana sahip olma olas\u0131l\u0131\u011f\u0131n\u0131 tahmin etmek i\u00e7in <strong>tahmin()<\/strong> i\u015flevini kullanabiliriz ( ben =1):<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define new data frame\n<span style=\"color: #000000;\">newdata = data. <span style=\"color: #3366ff;\">frame<\/span> (disp=c(200, 180, 160, 140, 120, 120, 100, 160),\n                     hp=c(100, 90, 108, 90, 80, 90, 80, 90),\n                     am=c(0, 0, 0, 1, 0, 1, 1, 1))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>newdata\n\n<span style=\"color: #008080;\">#use model to predict value of am for all new cars\n<\/span>newdata$am_prob &lt;- predict(model, newdata, type=\" <span style=\"color: #ff0000;\">response<\/span> \")\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>newdata\n\n  disp hp am am_prob\n1 200 100 0 0.004225640\n2 180 90 0 0.008361069\n3 160 108 0 0.335916069\n4 140 90 1 0.275162866\n5 120 80 0 0.429961894\n6 120 90 1 0.718090728\n7 100 80 1 0.835013994\n8 160 90 1 0.053546152<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Sonucun nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">1 numaral\u0131 araban\u0131n manuel \u015fanz\u0131mana sahip olma olas\u0131l\u0131\u011f\u0131 <strong>0,004&#8217;t\u00fcr<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 numaral\u0131 araban\u0131n manuel \u015fanz\u0131mana sahip olma olas\u0131l\u0131\u011f\u0131 <strong>0,008&#8217;dir<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">3 numaral\u0131 araban\u0131n manuel \u015fanz\u0131mana sahip olma olas\u0131l\u0131\u011f\u0131 <strong>0,336&#8217;d\u0131r<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Ve benzeri.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Model taraf\u0131ndan tahmin edilen de\u011ferlere kar\u015f\u0131 ger\u00e7ek am de\u011ferlerini g\u00f6r\u00fcnt\u00fcleyen bir kar\u0131\u015f\u0131kl\u0131k matrisi olu\u015fturmak i\u00e7in <strong>table()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector that contains 0 or 1 depending on predicted value of am\n<span style=\"color: #000000;\">am_pred = rep(0, dim(newdata)[1])\nam_pred[newdata$am_prob &gt; .5] = 1\n\n<span style=\"color: #008080;\">#create confusion matrix\n<\/span>table(am_pred, newdata$am)\n\nam_pred 0 1\n      0 4 2\n      1 0 2\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Son olarak, yeni veritaban\u0131ndaki modelin <strong>am<\/strong> de\u011ferini do\u011fru tahmin etti\u011fi g\u00f6zlemlerin y\u00fczdesini hesaplamak i\u00e7in <strong>Mean()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate percentage of observations the model correctly predicted response value for\n<span style=\"color: #000000;\">mean(am_pred == newdata$am)\n\n[1] 0.75\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Modelin yeni veri taban\u0131ndaki arabalar\u0131n <strong>%75&#8217;i<\/strong> i\u00e7in <strong>am<\/strong> de\u011ferini do\u011fru tahmin etti\u011fini g\u00f6rebiliyoruz.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki e\u011fitimlerde R&#8217;de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/tr\/rde-basit-dogrusal-regresyon\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de basit do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/coklu-dogrusal-regresyon-r\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de \u00e7oklu do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/polinom-regresyon-r\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de polinom regresyonu nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/tahmin-araligi-r\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de bir tahmin aral\u0131\u011f\u0131 nas\u0131l olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R&#8217;ye bir lojistik regresyon modeli yerle\u015ftirdikten sonra, modelin daha \u00f6nce hi\u00e7 g\u00f6rmedi\u011fi yeni bir g\u00f6zlemin yan\u0131t de\u011ferini tahmin etmek i\u00e7in tahmin() i\u015flevini kullanabiliriz. Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r: tahmin(nesne, yeniveri, t\u00fcr = \u201cyan\u0131t\u201d) Alt\u0131n: nesne: Lojistik regresyon modelinin ad\u0131 newdata: Tahminlerde bulunulacak yeni veri \u00e7er\u00e7evesinin ad\u0131 type: Yap\u0131lacak tahminin t\u00fcr\u00fc A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte [&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-4441","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 - Statorialsde tahmin()&#039;in lojistik regresyon modeliyle kullan\u0131lmas\u0131<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, R&#039;de lojistik regresyon modeli kullan\u0131larak yeni veriler \u00fczerinde nas\u0131l tahminlerde bulunulaca\u011f\u0131 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\" href=\"https:\/\/statorials.org\/tr\/r-lojistik-regresyon-tahmini\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - 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