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\/><\/p>\n<p>\u5982\u679c\u8bf4\u4ec0\u4e48\u6280\u672f\u7684\u51fa\u73b0\u98a0\u8986\u4e86\u4f20\u7edf\u751f\u4fe1\u5708\uff0c\u90a3\u5927\u6d77\u54e5\u89c9\u5f97\u4e00\u5b9a\u662f\u673a\u5668\u5b66\u4e60\uff0c\u673a\u5668\u5b66\u4e60\u7684\u51fa\u73b0\u7ed9\u751f\u7269\u4fe1\u606f\u5b66\u5e26\u6765\u4e86\u8bb8\u591a\u65b0\u7684\u53ef\u80fd\u6027\u548c\u673a\u4f1a\u3002\u4f8b\u5982\u5728\u57fa\u56e0\u7ec4\u5b66\u65b9\u9762\uff0c\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u53ef\u4ee5\u5728\u57fa\u56e0\u7ec4\u5b66\u3001\u751f\u7269\u4fe1\u606f\u6570\u636e\u6316\u6398\u3001\u75be\u75c5\u8bca\u65ad\u548c\u6cbb\u7597\u3001\u836f\u7269\u53d1\u73b0\u4ee5\u53ca\u7cfb\u7edf\u751f\u7269\u5b66\u7b49\u65b9\u9762\u90fd\u53d1\u6325\u51fa\u4e86\u5de8\u5927\u7684\u4fc3\u8fdb\u4f5c\u7528\uff0c\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u5904\u7406\u5927\u89c4\u6a21\u751f\u7269\u6570\u636e\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u8fd8\u4e3a\u6211\u4eec\u7814\u7a76\u4eba\u5458\u4eec\u63d0\u4f9b\u4e86\u65b0\u7684\u7814\u7a76\u601d\u8def\u548c\u65b9\u6cd5\u3002<\/p>\n<p><br \/><\/p>\n<p>\u4eca\u5929\u5927\u6d77\u54e5\u5c31\u6765\u63a8\u8350\u4e00\u4e2a\u7b80\u5355\u597d\u7528\u4e14\u6548\u7387\u9ad8\u7684\u7b97\u6cd5\u2014\u2014CatBoost\u3002\u548b\u4e00\u770b\u540d\u5b57\uff0c\u6709\u4e9b\u5c0f\u4f19\u4f34\u53ef\u80fd\u4e0d\u592a\u4e86\u89e3\uff0c\u5927\u5bb6\u90fd\u53ea\u542c\u8fc7Gradient Boosting Machine\uff08GBM\uff09\u7b97\u6cd5\uff0cCatBoost\u662f\u4ec0\u4e48\u7b97\u6cd5\uff0c\u5176\u5b9e\u554a\uff0cCatBoost\u548cGBM\u90fd\u5c5e\u4e8e\u68af\u5ea6\u63d0\u5347\u7b97\u6cd5\uff0c\u90fd\u5c5e\u4e8e\u96c6\u6210\u5b66\u4e60\u65b9\u6cd5\u3002\u53ea\u4e0d\u8fc7\uff0cCatBoost\u76f8\u6bd4\u4f20\u7edfGBM\uff0c\u5b83\u5177\u6709\u4e00\u4e9b\u4f18\u52bf\u548c\u72ec\u7279\u4e4b\u5904\uff0cCatBoost\u80fd\u591f\u81ea\u52a8\u5904\u7406\u5206\u7c7b\u7279\u5f81\uff0c\u65e0\u9700\u989d\u5916\u7684\u9884\u5904\u7406\uff08\u5982\u72ec\u70ed\u7f16\u7801\uff09\u3002\u5b83\u53ef\u4ee5\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5229\u7528\u7279\u5f81\u7edf\u8ba1\u4fe1\u606f\u6765\u5c06\u5206\u7c7b\u7279\u5f81\u8f6c\u6362\u4e3a\u6570\u503c\u7279\u5f81\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5229\u7528\u8fd9\u4e9b\u4fe1\u606f\u3002\u5e76\u4e14\u5176\u5f15\u5165\u4e86\u4e00\u79cd\u81ea\u52a8\u8c03\u53c2\u6280\u672f\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u5b9a\u4e00\u4e9b\u5168\u5c40\u53c2\u6570\u6765\u81ea\u52a8\u9009\u62e9\u8f83\u4e3a\u5408\u9002\u7684\u5b66\u4e60\u7387\u548c\u6811\u7684\u6570\u91cf\u7b49\u8d85\u53c2\u6570\uff0c\u7b80\u5316\u4e86\u6a21\u578b\u8c03\u4f18\u7684\u8fc7\u7a0b\u3002\u5b83\u8fd8\u80fd\u591f\u5904\u7406\u7f3a\u5931\u503c\uff0c\u65e0\u9700\u989d\u5916\u7684\u5904\u7406\u65b9\u5f0f\u3002\u5728\u51b3\u7b56\u6811\u7684\u5206\u88c2\u8fc7\u7a0b\u4e2d\uff0c\u5b83\u4f1a\u81ea\u52a8\u5904\u7406\u7f3a\u5931\u503c\uff0c\u5e76\u5b66\u4e60\u7f3a\u5931\u503c\u7684\u6a21\u5f0f\u3002CatBoost\u91c7\u7528\u4e86\u4e00\u79cd\u57fa\u4e8e\u5bf9\u79f0\u53f6\u5b50\u5206\u88c2\u7684\u7b97\u6cd5\uff0c\u4ee5\u51cf\u5c11\u8fc7\u62df\u5408\u98ce\u9669\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u901a\u8fc7\u7ec4\u5408\u968f\u673a\u6392\u5217\u6280\u672f\u5f15\u5165\u4e86\u968f\u673a\u6027\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5173\u952e\u7684\u662f\u5b83\u652f\u6301GPU\u8fd0\u7b97\u54e6\uff01<\/p>\n<p><br \/><\/p>\n<p>\u8bf4\u4e86\u90a3\u4e48\u591a\uff0c\u8fd9\u7b97\u6cd5\u90a3\u4e48\u597d\uff0c\u8be5\u600e\u4e48\u8fd0\u7528\u5230\u751f\u4fe1\u6570\u636e\u4e0a\u5462\uff1f\u522b\u7740\u6025\uff0c\u5927\u6d77\u54e5\u51c6\u5907\u4e86\u4e00\u4e2a\u4e34\u5e8a\u6570\u636e\u5206\u6790\u6848\u4f8b\u6765\u6f14\u793a\u8fd9\u4e2a\u7b97\u6cd5\u3002\u8ba9\u6211\u4eec\u5f00\u59cb\u5427\uff01<\/p>\n<p><br \/><\/p>\n<p>\u672c\u6b21\u5206\u6790\u6570\u636e\u96c6\u4e00\u5171\u5305\u542b32\u4e2a\u53d8\u91cf\uff0c\u76ee\u6807\u53d8\u91cf\u4e3a\u75c5\u4eba\u7684\u4e73\u817a\u7ec4\u7ec7\u8bca\u65ad\u7ed3\u679c\uff0c\u5206\u522b\u5bf9\u5e94M(\u6076\u6027)\u548cB(\u826f\u6027)\u3002\u7279\u5f81\u53d8\u91cf\u5305\u542b\u75c5\u4eba\u7684\u4e34\u5e8a\u7279\u5f81\uff0c\u4f8b\u5982\u5bf9\u5e94\u80bf\u7624\u7279\u5f81\uff0c\u5305\u542b\u5927\u5c0f\uff0c\u534a\u5f84\u53d8\u5316\u7b49\u75c5\u4eba\u4e34\u5e8a\u4fe1\u606f\u7684\u5e73\u5747\u503c\u3001\u6807\u51c6\u8bef\u5dee\u548c\u6700\u5dee\u503c\u6216\u6700\u5927\u503c\u7b49\u517131\u4e2a\u7279\u5f81\u53d8\u91cf\u3002<\/p>\n<p><br \/><\/p>\n<p>\u4ee3\u7801\u90e8\u5206<\/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<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u9996\u5148\u5bfc\u5165\u9700\u8981\u7684R\u5305<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">library(tidyverse)<\/span><\/code><code><span class=\"code-snippet_outer\">library(caret)<\/span><\/code><code><span class=\"code-snippet_outer\">library(gbm)<\/span><\/code><code><span class=\"code-snippet_outer\">library(DataExplorer)<\/span><\/code><code><span class=\"code-snippet_outer\">library(pROC)<\/span><\/code><code><span class=\"code-snippet_outer\"><br \/><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8bfb\u53d6\u6570\u636e<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">df_bc = read.csv(<span class=\"code-snippet__string\">\"data.csv\"<\/span>,check.names = <span class=\"code-snippet__built_in\">F<\/span>)[,<span class=\"code-snippet__number\">1<\/span>:<span class=\"code-snippet__number\">32<\/span>]<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u628a\u6570\u636e\u91cc\u7684ID\u53bb\u6389\uff0c\u540c\u65f6\u5bf9\u76ee\u6807\u53d8\u91cf\u8fdb\u884c\u56e0\u5b50\u5316<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">df_bc01 = mutate(df_bc,diagnosis = as.factor(diagnosis))[,-<span class=\"code-snippet__number\">1<\/span>]<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u67e5\u770b\u4e00\u4e0b\u6570\u636e\u7684\u5217\u540d<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">colnames(df_bc01)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"0.31851851851851853\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/1_b0ziaPqffCzO8RKiaq3vfv3JtqPT1A.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhf90JpWrcKdZYFelkutRCzapE5pib0ziaPqffCzO8RKiaq3vfv3JtqPT1A\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/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<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u770b\u4e00\u4e0b\u6570\u636e\u662f\u5426\u6709\u7f3a\u5931\u503c<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">plot_intro(df_bc01)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"0.9685185185185186\" data-s=\"300,640\" src=\"\u56fe\u7247\/\u751f\u4fe1\u679c_2023-08-01_\u300c\u8f6c\u300d\u60f3\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u505a\u9884\u540e\u5206\u6790\uff1f\u8fd8\u4e0d\u5feb\u6765\u8bd5\u8bd5\u8fd9\u4e2a\uff01\/2_crkUfjcINxuozDsMIh21ib3u3icJ7w.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhrU8lzBqibI24dsd15hrgpMNDOelicrkUfjcINxuozDsMIh21ib3u3icJ7w\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/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<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u753b\u4e00\u4e2a\u7bb1\u578b\u56fe\u770b\u770b\u5404\u4e2a\u7279\u5f81\u7684\u6570\u636e\u5206\u5e03\u60c5\u51b5<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">plot_boxplot(df_bc01, by = <span class=\"code-snippet__string\">\"diagnosis\"<\/span>)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"0.9518518518518518\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/3_T8Hd3JWN0x3RhWqSZzQhG6CZ1Ojzuw.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhnicBcWyTPtul81GgiaMluCIKjkT8Hd3JWN0x3RhWqSZzQhG6CZ1Ojzuw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/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<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\">#\u5212\u5206\u4e00\u4e0b\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">set.seed(<span class=\"code-snippet__number\">123<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">indice = createDataPartition(df_bc01$diagnosis, p = <span class=\"code-snippet__number\">.75<\/span>, <span class=\"code-snippet__built_in\">list<\/span> = <span class=\"code-snippet__built_in\">F<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">train = df_bc01[ indice,]<\/span><\/code><code><span class=\"code-snippet_outer\">test  = df_bc01[-indice,]<\/span><\/code><code><span class=\"code-snippet_outer\"><br \/><\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u6784\u5efacatboost\u6a21\u578b<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">set.seed(<span class=\"code-snippet__number\">3456<\/span>) <\/span><\/code><code><span class=\"code-snippet_outer\">fit_control_carboost <- trainControl(method = <span class=\"code-snippet__string\">\"repeatedcv\"<\/span>,  <\/span><\/code><code><span class=\"code-snippet_outer\">                            number = <span class=\"code-snippet__number\">5<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\">                            repeats = <span class=\"code-snippet__number\">5<\/span>,<\/span><\/code><code><span class=\"code-snippet_outer\">                            classProbs = <span class=\"code-snippet__literal\">TRUE<\/span>)  <\/span><\/code><code><span class=\"code-snippet_outer\">grid_carboost<-expand.grid(.iterations = <span class=\"code-snippet__number\">140<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">       , .rsm = <span class=\"code-snippet__number\">0.8<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">       , .border_count = <span class=\"code-snippet__number\">25<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">       , .depth = <span class=\"code-snippet__number\">1<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">       , .learning_rate = <span class=\"code-snippet__number\">0.1<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">       , .l2_leaf_reg = <span class=\"code-snippet__number\">1e-06<\/span>)<\/span><\/code><code><span class=\"code-snippet_outer\">train_carboost<-train<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u5f00\u59cb\u8bad\u7ec3<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">catboost_01 <- train(x= train_carboost[ ,<span class=\"code-snippet__number\">2<\/span>:<span class=\"code-snippet__number\">31<\/span>], <\/span><\/code><code><span class=\"code-snippet_outer\">as.factor(make.names(train_carboost[,<span class=\"code-snippet__built_in\">c<\/span>(<span class=\"code-snippet__string\">\"diagnosis\"<\/span>)])),method = catboost.caret,  <\/span><\/code><code><span class=\"code-snippet_outer\">logging_level = <span class=\"code-snippet__string\">'Silent'<\/span>,tuneGrid = grid_carboost, trControl = fit_control_carboost)  <\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u9884\u6d4b\u4e00\u4e0b\u6d4b\u8bd5\u96c6<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">previsioni_catboost_01 = predict(catboost_01, test[,-<span class=\"code-snippet__number\">1<\/span>])<\/span><\/code><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u8ba1\u7b97\u4e00\u4e0b\u6df7\u6dc6\u77e9\u9635\u5427\uff0c\u770b\u770b\u7cbe\u786e\u5ea6\u5982\u4f55<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">confusionMatrix(previsioni_catboost_01, as.factor(test$diagnosis))<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"1.1851851851851851\" data-s=\"300,640\" src=\"\u56fe\u7247\/\u751f\u4fe1\u679c_2023-08-01_\u300c\u8f6c\u300d\u60f3\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u505a\u9884\u540e\u5206\u6790\uff1f\u8fd8\u4e0d\u5feb\u6765\u8bd5\u8bd5\u8fd9\u4e2a\uff01\/4_aZLI7q75neTZpmaM5eDzfpichEEs3g.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhVvrdib270HCVUDxmRhlhdVqDeYaZLI7q75neTZpmaM5eDzfpichEEs3g\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"font-size: 14px;line-height: 1.8;letter-spacing: 2px;padding-right: 10px;padding-left: 10px;\" powered-by=\"xiumi.us\">\n<p><br \/><\/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<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u7ed3\u679c\u76f8\u5f53\u4e0d\u9519\u54e6\uff01ACC\u503c\u8fbe\u5230\u4e860.9718\uff0c\u8fd8\u53ef\u4ee5\u770b\u770b\u4e0d\u540c\u7684\u7279\u5f81\u7684\u91cd\u8981\u6027<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">library(ggplot2)<\/span><\/code><code><span class=\"code-snippet_outer\">ggplot(varImp(catboost_01)) + <\/span><\/code><code><span class=\"code-snippet_outer\">  geom_bar(stat = <span class=\"code-snippet__string\">'identity'<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">           , fill = <span class=\"code-snippet__string\">'steelblue'<\/span> <\/span><\/code><code><span class=\"code-snippet_outer\">           , color = <span class=\"code-snippet__string\">'black'<\/span>) + <\/span><\/code><code><span class=\"code-snippet_outer\">  theme_light() + <\/span><\/code><code><span class=\"code-snippet_outer\">  ggtitle(<span class=\"code-snippet__string\">'Feature importance - Catboost'<\/span>)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"0.9546296296296296\" data-s=\"300,640\" src=\"http:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2024\/06\/5_axtWRrS930xLxjJ3vlDLcVl4FkUMww.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhmsLXIjwxeiaSEZSuxOr1X1gazaxtWRrS930xLxjJ3vlDLcVl4FkUMww\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/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<\/ul>\n<pre class=\"code-snippet__js\" data-lang=\"r\"><code><span class=\"code-snippet_outer\"><span class=\"code-snippet__comment\">#\u6700\u540e\u753b\u4e00\u4e2aROC\u66f2\u7ebf\u6765\u8bc4\u4ef7\u4e00\u4e0b<\/span><\/span><\/code><code><span class=\"code-snippet_outer\">ggroc(<span class=\"code-snippet__built_in\">list<\/span>(GBM=roc(<span class=\"code-snippet__built_in\">as.numeric<\/span>(test$diagnosis), <span class=\"code-snippet__built_in\">as.numeric<\/span>(previsioni_gbm_01)), <\/span><\/code><code><span class=\"code-snippet_outer\">           Catboost=roc(<span class=\"code-snippet__built_in\">as.numeric<\/span>(test$diagnosis), <span class=\"code-snippet__built_in\">as.numeric<\/span>(previsioni_catboost_01))))+ <\/span><\/code><code><span class=\"code-snippet_outer\">  ggtitle(<span class=\"code-snippet__string\">\"Comparing ROC Curves\"<\/span>)<\/span><\/code><\/pre>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"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=\"0.9703703703703703\" data-s=\"300,640\" src=\"\u56fe\u7247\/\u751f\u4fe1\u679c_2023-08-01_\u300c\u8f6c\u300d\u60f3\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u505a\u9884\u540e\u5206\u6790\uff1f\u8fd8\u4e0d\u5feb\u6765\u8bd5\u8bd5\u8fd9\u4e2a\uff01\/6_ECTvDCjMcsKgUUdXcmAw3HlaJB1Ugw.png\" onerror=\"this.src='https:\/\/mmbiz.qpic.cn\/mmbiz_png\/YHGRXkSxjST9ArwBXiaXNPp8Aa6WEib2jhuf8TeQjNHwfkHWEkMwk2lY3fECTvDCjMcsKgUUdXcmAw3HlaJB1Ugw\/640?wx_fmt=png'\" data-type=\"png\" data-w=\"1080\" style=\"vertical-align: middle;width: 100%;\" \/><\/section>\n<\/section>\n<section style=\"font-size: 12px;line-height: 0;\" powered-by=\"xiumi.us\">\n<p><br \/><\/p>\n<\/section>\n<section style=\"font-size: 14px;line-height: 1.8;letter-spacing: 2px;padding-right: 10px;padding-left: 10px;\" powered-by=\"xiumi.us\">\n<p>#\u53ef\u4ee5\u770b\u5230\u7ed3\u679c\u5f88\u4e0d\u9519\uff0c\u4ee3\u7801\u7684\u590d\u6742\u5ea6\u662f\u4e0d\u662f\u4e5f\u4e0d\u9ad8\uff0c\u540c\u65f6\u4e0d\u540c\u4e8eGBM\u7684\u4e00\u70b9\u5c31\u662f\u6211\u4eec\u4e0d\u9700\u8981\u8bbe\u7f6e\u51b3\u7b56\u6811\u7684\u6570\u91cf\uff0cCatBoost\u4f1a\u81ea\u884c\u5e2e\u4f60\u9009\u62e9\u6700\u5408\u9002\u7684\u51b3\u7b56\u6811\u6570\u91cf\uff0c\u5341\u5206\u4fbf\u6377\uff01<\/p>\n<p><br \/><\/p>\n<p>\u5206\u6790\u5230\u8fd9\u91cc\u5c31\u7ed3\u675f\u4e86\uff0c\u53ef\u4ee5\u770b\u5230\u6700\u540e\u7684CatBoost\u6a21\u578b\u9884\u6d4b\u4e73\u817a\u764c\u662f\u5426\u4e3a\u6076\u6027\u7684\u51c6\u786e\u7387\u8fbe\u5230\u4e8697.18\uff0c\u5e76\u4e14concave points_worst\u548carea_se\u662f\u6a21\u578b\u6700\u4e3a\u91cd\u8981\u7684\u4e24\u4e2a\u53c2\u6570\u3002<\/p>\n<p><br \/><\/p>\n<\/section>\n<section style=\"display: flex;flex-flow: row;margin: 10px 0% 20px;text-align: left;justify-content: flex-start;\" powered-by=\"xiumi.us\">\n<section style=\"display: inline-block;vertical-align: top;width: auto;flex: 0 0 0%;height: auto;align-self: flex-start;line-height: 0;\">\n<section style=\"text-align: right;margin-right: 0%;margin-bottom: -20px;margin-left: 0%;\" powered-by=\"xiumi.us\">\n<section style=\"display: inline-block;width: 8px;height: 20px;vertical-align: top;overflow: hidden;border-width: 0px;border-style: none;border-color: rgb(62, 62, 62);background-color: rgb(245, 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