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style=\"text-indent: 0em;text-wrap: wrap;\">\u4e0a\u4e00\u6b21\u5462\uff1f\u6211\u4eec\u901a\u8fc7\u6570\u636e\u9884\u5904\u7406\u4ee5\u53ca\u6570\u636e\u6e05\u6d17\u5254\u9664\u6389\u4e86\u4e00\u4e9b\u5197\u4f59\u7684\u5b57\u6bb5\uff0c\u540c\u65f6\u8ba1\u7b97\u4e86\u6bcf\u4e2a\u53d8\u91cf\u7f3a\u5931\u6570\u636e\u7684\u6240\u5360\u767e\u5206\u6bd4\uff0c\u7136\u540e\u5220\u9664\u7f3a\u5931\u503c\u8f83\u591a\u7684\u5217\uff0c\u540c\u65f6\u628a\u4e00\u4e9b\u5173\u952e\u53d8\u91cf\u8f6c\u4e3a\u56e0\u5b50\u5e76\u4e14\u5220\u9664\u53ea\u5177\u6709\u4e00\u4e2a\u5c5e\u6027\u7684\u56e0\u5b50\u6570\u636e\u3002\u6570\u636e\u5904\u7406\u5b8c\u540e\uff0c\u6211\u4eec\u8fd8\u901a\u8fc7\u63a2\u7d22\u6027\u5206\u6790\u6765\u67e5\u770b\u4e86\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u4ee5\u53ca\u4e00\u4e9b\u8fde\u7eed\u53d8\u91cf\u4f34\u968f\u751f\u5b58\u7ed3\u679c\u7684\u7bb1\u578b\u56fe\uff0c\u6700\u540e\u9488\u5bf9\u80bf\u7624\u5c3a\u5bf8\u548c\u7a81\u53d8\u7684\u6570\u636e\u5b58\u5728\u5f88\u591a\u6781\u5927\u503c\u7684\u60c5\u51b5\uff0c\u5bf9\u8fd9\u4e24\u4e2a\u5b57\u6bb5\u8fdb\u884c\u4e86log10\u5904\u7406\uff0c\u4f7f\u5f97\u6570\u636e\u6574\u4f53\u7b26\u5408\u6b63\u6001\u5206\u5e03\u3002<\/p>\n<p style=\"text-indent: 0em;text-wrap: wrap;\"><br  \/><\/p>\n<p style=\"text-indent: 0em;text-wrap: wrap;\">\u597d\u4e86\uff0c\u4e0a\u8ff0\u5c31\u662f\u4e0a\u4e00\u6b21\u6211\u4eec\u6240\u505a\u7684\u4e8b\u60c5\uff0c\u90a3\u4e48\u4eca\u5929\u6211\u4eec\u5c31\u8981\u62ff\u7740\u5904\u7406\u597d\u7684\u6570\u636e\uff0c\u6765\u8fdb\u884c\u5206\u6790\u5566\uff01\u9996\u5148\u540c\u6837\u7684\u5bfc\u5165\u6211\u4eec\u6240\u9700\u8981\u7684R\u5305\u3002<\/p>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u52a0\u8f7dR\u5305<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">library(corrplot)<\/span><\/code><code><span class=\"code-snippet_outer\">library(VIM)<\/span><\/code><code><span class=\"code-snippet_outer\">library(ggplot2)<\/span><\/code><code><span class=\"code-snippet_outer\">library(gridExtra)<\/span><\/code><code><span class=\"code-snippet_outer\">library(scales)<\/span><\/code><code><span class=\"code-snippet_outer\">library(tidyr)<\/span><\/code><code><span class=\"code-snippet_outer\">library(dplyr)<\/span><\/code><code><span class=\"code-snippet_outer\">library(readr)<\/span><\/code><code><span class=\"code-snippet_outer\">library(ggformula)<\/span><\/code><code><span class=\"code-snippet_outer\">library(imputeMissings)<\/span><\/code><code><span class=\"code-snippet_outer\">library(gapminder)<\/span><\/code><code><span class=\"code-snippet_outer\">library(caret)<\/span><\/code><code><span class=\"code-snippet_outer\">library(rpart)<\/span><\/code><code><span class=\"code-snippet_outer\">library(rattle)<\/span><\/code><code><span class=\"code-snippet_outer\">library(kernlab)<\/span><\/code><code><span class=\"code-snippet_outer\">library(randomForest)<\/span><\/code><code><span class=\"code-snippet_outer\">library(DMwR2)<\/span><\/code><code><span class=\"code-snippet_outer\">library(car)<\/span><\/code><code><span class=\"code-snippet_outer\">library(MLeval)<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u5bfc\u5165\u6570\u636e<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u7136\u540e\u5c31\u662f\u52a0\u8f7d\u4e0a\u4e00\u6b21\u5206\u6790\u5f97\u5230\u7684\u5904\u7406\u540e\u7684\u6570\u636e<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">clinical &lt;- read.csv(<span class=\"code-snippet__string\">\"clinical.csv\"<\/span>, header=<span class=\"code-snippet__literal\">TRUE<\/span>, sep=<span class=\"code-snippet__string\">\",\"<\/span>, stringsAsFactors = <span class=\"code-snippet__literal\">FALSE<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">clinical_e&lt;- clinical<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__built_in\">dim<\/span>(clinical_e)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.3107344632768362\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/1_pr8Mib1UoPwVXy7RK1O5SD9iaYgX7g.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYCQ8pib4n9OpzT4g4dFCiajOuRiamRpr8Mib1UoPwVXy7RK1O5SD9iaYgX7g\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"177\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<p style=\"text-indent: 0em;text-wrap: wrap;\" powered-by=\"xiumi.us\">\u7ecf\u8fc7\u9884\u5904\u7406\u540e\uff0c\u6211\u4eec\u8fd8\u670920\u4e2a\u7279\u5f81\uff0c\u770b\u770b\u90fd\u662f\u4e9b\u4ec0\u4e48<\/p>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.30782608695652175\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/2_LiaHjykCz6oAAiaicOQ6RtbTOGSCyQ.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYs4TQIFicvC7VKA0gFxyiawPK69cticLiaHjykCz6oAAiaicOQ6RtbTOGSCyQ\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"575\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u7136\u540e\u6211\u4eec\u9700\u8981\u91cd\u65b0\u5b9a\u4e49\u4e00\u4e0b\u6728\u533e\u53d8\u91cf\uff0c\u5c31\u662foverall_survival\u5217<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">make.names(<span class=\"code-snippet__string\">\"overall_survival\"<\/span>, unique = <span class=\"code-snippet__literal\">TRUE<\/span>, allow_ = <span class=\"code-snippet__literal\">FALSE<\/span>); <\/span><\/code><code><span class=\"code-snippet_outer\">clinical_e &nbsp;%&gt;% <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;mutate(overall_survival = factor(overall_survival, <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;labels = make.names(levels(overall_survival))));<\/span><\/code><code><span class=\"code-snippet_outer\">levels(clinical_e$overall_survival) &lt;- <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"D\"<\/span>, <span class=\"code-snippet__string\">\"L\"<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u6b7b\u4ea1\u5c31\u662fD\uff0c\u5b58\u6d3b\u5c31\u662fL<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u672c\u6b21\u5206\u6790\u5462\uff0c\u5c31\u662f\u901a\u8fc7\u968f\u673a\u68ee\u6797\u548c\u652f\u6301\u5411\u91cf\u673a (SVM) \u9884\u6d4b\u764c\u75c7\u60a3\u8005\u662f\u5426\u4f1a\u751f\u5b58\uff0c\u5176\u4e2dSVM\u5305\u542b\u4e24\u79cd\u6838\u51fd\u6570\u5373\u591a\u9879\u5f0f\u6838\u548c\u5f84\u5411\u6838\u3002<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u9996\u5148\u6211\u4eec\u8981\u5728\u968f\u673a\u68ee\u6797\u548cSVM\u4e0a\u8fdb\u884c\u5355\u5c4210\u500d\u4ea4\u53c9\u9a8c\u8bc1\u3002\u9009\u62e9\u6bcf\u6b21\u5206\u5272 (mtry) \u65f6\u968f\u673a\u91c7\u6837\u4f5c\u4e3a\u5019\u9009\u53d8\u91cf\u7684\u6570\u91cf\u6765\u4f18\u5316\u968f\u673a\u68ee\u6797\u6a21\u578b\u3002\u201cdegree of the polynomial\u201d\u548ccost\u5206\u522b\u5728\u591a\u9879\u5f0f\u548c\u5f84\u5411\u6838\u4e2d\u5206\u522b\u8fdb\u884c\u8c03\u6574\u3002<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8bdd\u4e0d\u591a\u8bf4\uff0c\u521b\u5efa\u6a21\u578b\u5427\uff01<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">set.seed(<span class=\"code-snippet__number\">789<\/span>)<span class=\"code-snippet__comment\">#\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u5b9a\u4e49\u4ea4\u53c9\u9a8c\u8bc1\u53c2\u6570<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">ctrl = trainControl(method = <span class=\"code-snippet__string\">\"cv\"<\/span>, number = <span class=\"code-snippet__number\">10<\/span>, <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;savePredictions = <span class=\"code-snippet__literal\">TRUE<\/span>, <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;classProbs = <span class=\"code-snippet__literal\">TRUE<\/span>, <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;verboseIter = <span class=\"code-snippet__literal\">TRUE<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u5b9a\u4e49\u4e00\u4e2a\u975e\u5206\u7c7b\u7684\u4ea4\u53c9\u9a8c\u8bc1\u53c2\u6570<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">ctrl_1 = trainControl(method = <span class=\"code-snippet__string\">\"cv\"<\/span>, number = <span class=\"code-snippet__number\">10<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u4fdd\u7559\u4e00\u4e0b\u6570\u636e<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">data_used = clinical_e<\/span><\/code><code><span class=\"code-snippet_outer\">data_used_1 = clinical<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8bbe\u7f6e\u591a\u9879\u5f0f\u6838SVM\u4ea4\u53c9\u9a8c\u8bc1<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fit_poly = train(overall_survival ~ .,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; data = data_used,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; na.action = na.exclude,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; method = <span class=\"code-snippet__string\">\"svmPoly\"<\/span>,tuneGrid = expand.grid(C = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">1<\/span>), <\/span><\/code><code><span class=\"code-snippet_outer\">degree = seq(<span class=\"code-snippet__number\">0<\/span>, <span class=\"code-snippet__number\">5<\/span>, by = <span class=\"code-snippet__number\">1<\/span>), scale = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">1<\/span>)), <span class=\"code-snippet__comment\"># gamma<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">preProcess = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"center\"<\/span>,<span class=\"code-snippet__string\">\"scale\"<\/span>),trControl = ctrl)<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u770b\u4e00\u4e0b\u4ea4\u53c9\u9a8c\u8bc1\u7ed3\u679c\uff0c\u7ed9\u51fa\u4e86\u6700\u4f18\u53c2\u6570\uff0c\u5c31\u5728\u56fe\u7247\u6700\u540e\u4e00\u884c<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fit_poly<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.6606260296540363\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/3_MqVvs3L6gAgUr49p1BrwLxhcC3bIZA.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYDnzGmMPuDia1BRKbFcFC9PDgIMqVvs3L6gAgUr49p1BrwLxhcC3bIZA\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"607\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8bbe\u7f6e\u5f84\u5411\u6838SVM\u4ea4\u53c9\u9a8c\u8bc1<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fit_radial = train(overall_survival ~ .,<\/span><\/code><code><span class=\"code-snippet_outer\">data = data_used,<\/span><\/code><code><span class=\"code-snippet_outer\">method = <span class=\"code-snippet__string\">\"svmRadial\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\">tuneGrid = expand.grid(C = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">1<\/span>:<span class=\"code-snippet__number\">5<\/span>), sigma = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">1<\/span>)),<\/span><\/code><code><span class=\"code-snippet_outer\">preProcess = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"center\"<\/span>,<span class=\"code-snippet__string\">\"scale\"<\/span>),<\/span><\/code><code><span class=\"code-snippet_outer\">trControl = ctrl)<\/span><\/code><code><span class=\"code-snippet_outer\">fit_radial<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.5827814569536424\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/4_BGoQGlQX9KCxEgsRmZLFfWWxyEVDBA.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYib21ADdpyOTYG1f3Vuib5yqE5OBGoQGlQX9KCxEgsRmZLFfWWxyEVDBA\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"604\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8bbe\u7f6e\u968f\u673a\u68ee\u6797\u4ea4\u53c9\u9a8c\u8bc1<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fit_rf = train(overall_survival ~.,<\/span><\/code><code><span class=\"code-snippet_outer\">data = data_used,<\/span><\/code><code><span class=\"code-snippet_outer\">method = <span class=\"code-snippet__string\">\"rf\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\">na.action = na.exclude,<\/span><\/code><code><span class=\"code-snippet_outer\">tuneGrid = expand.grid(mtry = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">3<\/span>:<span class=\"code-snippet__number\">12<\/span>)),<\/span><\/code><code><span class=\"code-snippet_outer\">preProcess = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"center\"<\/span>,<span class=\"code-snippet__string\">\"scale\"<\/span>),<\/span><\/code><code><span class=\"code-snippet_outer\">trControl = ctrl)<\/span><\/code><code><span class=\"code-snippet_outer\">fit_rf<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.7298245614035088\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/5_NqElgLF8SsDqMB3CUSTVdRUoGLJMZw.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYFPUsm5HoxVeK0pILGvfWlBtoNqElgLF8SsDqMB3CUSTVdRUoGLJMZw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"570\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u5b9a\u4e49\u4e0d\u5206\u7c7b\u968f\u673a\u68ee\u6797\u4ea4\u53c9\u9a8c\u8bc1\uff0c\u8fd9\u4e2a\u7ed3\u679c\u6ca1\u6709\u4e0a\u9762\u90a3\u4e2a\u597d\uff0c\u90a3\u5c31\u9009\u4e0a\u9762\u90a3\u4e2a<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fit_rf_1 = train(overall_survival ~.,<\/span><\/code><code><span class=\"code-snippet_outer\">data = data_used_1,<\/span><\/code><code><span class=\"code-snippet_outer\">method = <span class=\"code-snippet__string\">\"rf\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\">na.action = na.exclude,<\/span><\/code><code><span class=\"code-snippet_outer\">tuneGrid = expand.grid(mtry = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__number\">3<\/span>:<span class=\"code-snippet__number\">12<\/span>)),<\/span><\/code><code><span class=\"code-snippet_outer\">preProcess = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"center\"<\/span>,<span class=\"code-snippet__string\">\"scale\"<\/span>),<\/span><\/code><code><span class=\"code-snippet_outer\">trControl = ctrl_1)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.6774716369529984\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/6_eGzVyibObxGlrb40uVQQwdia3nk50Q.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYLicDPgMOyCfL13ibPLTbL90eomcweGzVyibObxGlrb40uVQQwdia3nk50Q\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"617\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\">all_best_Types = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"Polynomial Kernel\"<\/span>,<span class=\"code-snippet__string\">\"Radial Kernel\"<\/span>,<span class=\"code-snippet__string\">\"Random forests\"<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;all_best_Pars = <span class=\"code-snippet__built_in\">list<\/span>(fit_poly$bestTune, fit_radial$bestTune,fit_rf$bestTune )<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;all_best_Models = <span class=\"code-snippet__built_in\">list<\/span>(fit_poly,fit_radial,fit_rf)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;all_best_Accuracy = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__built_in\">max<\/span>(fit_poly$results$Accuracy),<span class=\"code-snippet__built_in\">max<\/span>(fit_radial$results$Accuracy),<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class=\"code-snippet__built_in\">max<\/span>(fit_rf$results$Accuracy))<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;<span class=\"code-snippet__comment\">############# \u6a21\u578b\u5bf9\u6bd4#############<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;<span class=\"code-snippet__comment\"># \u770b\u770b\u7279\u5f81\u6570\u548c\u51c6\u786e\u7387\u7684\u5173\u7cfb<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;mtree = <span class=\"code-snippet__built_in\">length<\/span>(seq(<span class=\"code-snippet__number\">0<\/span>, <span class=\"code-snippet__number\">5<\/span>, by = <span class=\"code-snippet__number\">1<\/span>)); <\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;mtree1 = <span class=\"code-snippet__built_in\">length<\/span>(seq(<span class=\"code-snippet__number\">1<\/span>, <span class=\"code-snippet__number\">5<\/span>, by = <span class=\"code-snippet__number\">1<\/span>))<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;mtree2 = <span class=\"code-snippet__built_in\">length<\/span>(seq(<span class=\"code-snippet__number\">3<\/span>, <span class=\"code-snippet__number\">12<\/span>, by = <span class=\"code-snippet__number\">1<\/span>))<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;mmodels = mtree+mtree1+mtree2<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;modelMethod = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__built_in\">rep<\/span>(<span class=\"code-snippet__string\">\"Polynomial Kernel\"<\/span>,mtree),<span class=\"code-snippet__built_in\">rep<\/span>(<span class=\"code-snippet__string\">\"Radial Kernel\"<\/span>,mtree1), <span class=\"code-snippet__built_in\">rep<\/span>(<span class=\"code-snippet__string\">\"Random forests\"<\/span>,mtree2))<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;all_caret_Accuracy = <span class=\"code-snippet__built_in\">c<\/span>((fit_poly$results$Accuracy),fit_radial$results$Accuracy, fit_rf$results$Accuracy)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;coloptions = rainbow(<span class=\"code-snippet__number\">4<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;colused = coloptions[<span class=\"code-snippet__built_in\">as.numeric<\/span>(factor(modelMethod))]<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;charused = <span class=\"code-snippet__number\">5<\/span>*(<span class=\"code-snippet__built_in\">as.numeric<\/span>(factor(modelMethod)))<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u53ef\u89c6\u5316\u7ed3\u679c\u770b\u770b<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">plot(<span class=\"code-snippet__number\">1<\/span>:mmodels,all_caret_Accuracy,col=colused,pch=charused,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; xlab = <span class=\"code-snippet__string\">\"Model label\"<\/span>,ylab = <span class=\"code-snippet__string\">\"Accuracy\"<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;order.min = <span class=\"code-snippet__built_in\">c<\/span>(which.max(fit_poly$results$Accuracy),mtree+which.max(fit_radial$results$Accuracy),mtree+mtree<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;-<span class=\"code-snippet__number\">1<\/span>+which.max(fit_rf$results$Accuracy))<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;abline(v=order.min,lwd=<span class=\"code-snippet__number\">0.5<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;abline(v=order.min[<span class=\"code-snippet__number\">2<\/span>],col=<span class=\"code-snippet__string\">\"red\"<\/span>,lwd=<span class=\"code-snippet__number\">0.5<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;abline(v=order.min[<span class=\"code-snippet__number\">3<\/span>],col=<span class=\"code-snippet__string\">\"green\"<\/span>,lwd=<span class=\"code-snippet__number\">0.5<\/span>)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.49603174603174605\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/7_V7kv1HRicicaWX6O63JGDcvnTeaOdA.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYTpNCLeWFnial3fIMstIiaXA27PQAV7kv1HRicicaWX6O63JGDcvnTeaOdA\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"504\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u6574\u4f53\u770b\u7684\u8bdd\uff0c\u8fd8\u662f\u968f\u673a\u68ee\u6797\u8981\u66f4\u597d\u4e00\u70b9\uff0c\u591a\u9879\u5f0f\u6838SVM\u4e0d\u592a\u7a33\u5b9a\uff0c\u5f84\u5411\u6838SVM\u7a33\u5b9a\uff0c\u4f46\u662fACC\u592a\u4f4e\u4e86<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u7136\u540e\u5c31\u8981\u753b\u4e00\u4e0bROC\u66f2\u7ebf\u4e86\uff0c\u6bd5\u7adf\u8fd9\u662f\u5927\u5bb6\u6700\u5e38\u7528\u7684\u8bc4\u4f30\u624b\u6bb5\u4e86<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8fd9\u91cc\u4f1a\u4ea7\u751f\u5f88\u591a\u56fe\uff0c\u53ef\u4ee5\u83b7\u53d6\u6bcf\u4e2a\u6a21\u578b\u7684\u5173\u952e\u4fe1\u606f\uff0c\u8fd9\u91cc\u5927\u6d77\u54e5\u5c31\u4e0d\u5c55\u793a\u4e86<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">poly &lt;- evalm(fit_poly);<\/span><\/code><code><span class=\"code-snippet_outer\">radial &lt;- evalm(fit_radial);<\/span><\/code><code><span class=\"code-snippet_outer\">rf &lt;- evalm(fit_rf);<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u83b7\u53d6\u6211\u4eec\u60f3\u8981\u7684\u4fe1\u606f<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">fpr = poly$roc$data$FPR<\/span><\/code><code><span class=\"code-snippet_outer\">po = poly$roc$data$SENS<\/span><\/code><code><span class=\"code-snippet_outer\">ra = radial$roc$data$SENS<\/span><\/code><code><span class=\"code-snippet_outer\">rff = rf$roc$data$SENS<\/span><\/code><code><span class=\"code-snippet_outer\">roc_fig &lt;- data_frame(fpr,po,ra, rff)<\/span><\/code><code><span class=\"code-snippet_outer\"><br  \/><\/span><\/code><code><span class=\"code-snippet_outer\">require(ggplot2)<\/span><\/code><code><span class=\"code-snippet_outer\">colors &lt;- <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"Polynomial Kernel\"<\/span> = <span class=\"code-snippet__string\">\"blue\"<\/span>, <span class=\"code-snippet__string\">\"Radial Kernel\"<\/span> = <span class=\"code-snippet__string\">\"red\"<\/span>, <span class=\"code-snippet__string\">\"Random forests\"<\/span> = <span class=\"code-snippet__string\">\"green\"<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">ggplot(roc_fig, aes(fpr)) + &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;geom_line(aes(y=po, colour=<span class=\"code-snippet__string\">\"Polynomial Kernel\"<\/span>), size = <span class=\"code-snippet__number\">1<\/span>) + &nbsp;<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;geom_line(aes(y=ra, colour=<span class=\"code-snippet__string\">\"Radial Kernel\"<\/span>), size = <span class=\"code-snippet__number\">1<\/span>)+ &nbsp;<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;geom_line(aes(y=rff, colour=<span class=\"code-snippet__string\">\"Random forests\"<\/span>), size = <span class=\"code-snippet__number\">1<\/span>)+ &nbsp;<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;geom_abline(intercept = <span class=\"code-snippet__number\">0<\/span>, slope = <span class=\"code-snippet__number\">1<\/span>, col = <span class=\"code-snippet__string\">\"gray\"<\/span>)+<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;labs(title =<span class=\"code-snippet__string\">\"ROC curve\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp;x = <span class=\"code-snippet__string\">\"Specificities\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; y = <span class=\"code-snippet__string\">\"Sensitivities\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; color = <span class=\"code-snippet__string\">\"Legend\"<\/span>) +<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp;scale_color_manual(values = colors)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.5935613682092555\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/8_LRRZfmc17YDlfdLa8zXZ3IJFliaqyA.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYehlpRHRbS1YAxHalCyewZCFvJLRRZfmc17YDlfdLa8zXZ3IJFliaqyA\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"994\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8fd9\u91cc\u770bROC\uff0c\u591a\u9879\u5f0f\u6838SVM\u548c\u968f\u673a\u68ee\u6797\u4e0d\u76f8\u4f2f\u4ef2\uff01<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">Model = <span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"Polynomial Kernel\"<\/span>,<span class=\"code-snippet__string\">\"Radial Kernel\"<\/span>,<span class=\"code-snippet__string\">\"Random forests\"<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">AUC_Val &nbsp;= <span class=\"code-snippet__built_in\">c<\/span>(poly$stdres$`Group 1`$Score[<span class=\"code-snippet__number\">13<\/span>],radial$stdres$`Group 1`$Score[<span class=\"code-snippet__number\">13<\/span>], rf$stdres$`Group 1`$Score[<span class=\"code-snippet__number\">13<\/span>])<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u540c\u65f6\u6211\u4eec\u8fd8\u6574\u5408\u4e86ACC\u503c\uff0c\u4e00\u8d77\u770b\u4e00\u4e0b<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">df2 &lt;- data.frame(supp=<span class=\"code-snippet__built_in\">rep<\/span>(<span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"Accuracy\"<\/span>, <span class=\"code-snippet__string\">\"AUC\"<\/span>), each=<span class=\"code-snippet__number\">3<\/span>),<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;mod=<span class=\"code-snippet__built_in\">rep<\/span>(Model,<span class=\"code-snippet__number\">2<\/span>),<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;va=<span class=\"code-snippet__built_in\">c<\/span>(all_best_Accuracy, AUC_Val))<\/span><\/code><code><span class=\"code-snippet_outer\">ggplot(data=df2, aes(x=mod, y=va, fill=supp)) +<\/span><\/code><code><span class=\"code-snippet_outer\">geom_bar(stat=<span class=\"code-snippet__string\">\"identity\"<\/span>, position=position_dodge())+<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp;labs(x = <span class=\"code-snippet__string\">\"\"<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\"> &nbsp; &nbsp; &nbsp; &nbsp; y = <span class=\"code-snippet__string\">\"Value\"<\/span>,fill = <span class=\"code-snippet__string\">\"\"<\/span>)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.5909090909090909\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/9_aQAKgia7qVre2zNRDX8IFyCIrCPMsw.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYAwgPzoiaaNZ7NjrQ0yGibTH3ET8iaQAKgia7qVre2zNRDX8IFyCIrCPMsw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"990\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section class=\"code-snippet__fix code-snippet__js\">\n<ul class=\"code-snippet__line-index code-snippet__js\">\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<li><\/li>\n<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u4f46\u662fACC\u597d\u50cf\u968f\u673a\u68ee\u6797\u66f4\u4f18\uff01<\/span><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u770b\u770b\u968f\u673a\u68ee\u6797\u7684\u91cd\u8981\u6027\u8bc4\u5206<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">importance(fit_rf_1$finalModel)<\/span><\/code><code><span class=\"code-snippet_outer\">varImpPlot(fit_rf$finalModel)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"0.4787430683918669\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/10_afEJJpCPXVrrHUXrMibHJe0O10xr4Q.png?w=640\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjSSNSNSA4ZJsgLwqzl7vCHyYHb58nXOUpDXgL3jVFmia0CXxCAiafEJJpCPXVrrHUXrMibHJe0O10xr4Q\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"541\" style=\"vertical-align: middle;width: 100%;\"  data-recalc-dims=\"1\" \/><\/section>\n<\/section>\n<section style=\"text-align: center;margin-top: 10px;margin-bottom: 10px;line-height: 0;\" powered-by=\"xiumi.us\">\n<section style=\"vertical-align: middle;display: inline-block;line-height: 0;\"><img decoding=\"async\" class=\"rich_pages wxw-img\" data-ratio=\"1.0042105263157894\" data-s=\"300,640\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/11_Mo1qenFiaF5W9o08GN5Yrqz46XQaOw.png?w=640\" 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