{"id":2987,"date":"2022-02-20T21:11:15","date_gmt":"2022-02-20T13:11:15","guid":{"rendered":"https:\/\/egonlin.com\/?p=2987"},"modified":"2022-02-20T21:23:41","modified_gmt":"2022-02-20T13:23:41","slug":"%e7%ac%ac%e4%ba%94%e8%8a%82%ef%bc%9a%e5%a4%9a%e9%a1%b9%e5%bc%8f%e5%9b%9e%e5%bd%92%e6%b3%a2%e5%a3%ab%e9%a1%bf%e6%88%bf%e4%bb%b7%e9%a2%84%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/egonlin.com\/?p=2987","title":{"rendered":"\u7b2c\u4e94\u8282\uff1a\u591a\u9879\u5f0f\u56de\u5f52"},"content":{"rendered":"<h1>\u591a\u9879\u5f0f\u56de\u5f52(\u6ce2\u58eb\u987f\u623f\u4ef7\u9884\u6d4b)<\/h1>\n<h1>\u5bfc\u5165\u6a21\u5757<\/h1>\n<pre><code class=\"language-python\">import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib.font_manager import FontProperties\nfrom sklearn.preprocessing import PolynomialFeatures\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.metrics import r2_score\n%matplotlib inline\nfont = FontProperties(fname=&#039;\/Library\/Fonts\/Heiti.ttc&#039;)<\/code><\/pre>\n<h1>\u83b7\u53d6\u6570\u636e<\/h1>\n<p>&emsp;&emsp;\u5728\u300a\u4ee3\u7801-\u666e\u901a\u7ebf\u6027\u56de\u5f52\u300b\u7684\u65f6\u5019\u8bf4\u5230\u7279\u5f81LSTAT\u548c\u6807\u8bb0MEDV\u6709\u6700\u9ad8\u7684\u76f8\u5173\u6027\uff0c\u4f46\u662f\u5b83\u4eec\u4e4b\u95f4\u5e76\u4e0d\u662f\u7ebf\u6027\u5173\u7cfb\uff0c\u56e0\u6b64\u8fd9\u6b21\u5c1d\u8bd5\u4f7f\u7528\u591a\u9879\u5f0f\u56de\u5f52\u62df\u5408\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<pre><code class=\"language-python\">df = pd.read_csv(&#039;housing-data.txt&#039;, sep=&#039;\\s+&#039;, header=0)\nX = df[[&#039;LSTAT&#039;]].values\ny = df[&#039;MEDV&#039;].values<\/code><\/pre>\n<h1>\u8bad\u7ec3\u6a21\u578b<\/h1>\n<pre><code class=\"language-python\"># \u589e\u52a0\u4e8c\u6b21\u65b9\uff0c\u5373\u4e8c\u9879\u5f0f\u56de\u5f52\nquadratic = PolynomialFeatures(degree=2)\n# \u589e\u52a0\u4e09\u6b21\u65b9\uff0c\u5373\u4e09\u9879\u5f0f\u56de\u5f52\ncubic = PolynomialFeatures(degree=3)\n# \u8bad\u7ec3\u4e8c\u9879\u5f0f\u548c\u4e09\u9879\u5f0f\u56de\u5f52\u5f97\u5230\u4e8c\u6b21\u65b9\u548c\u4e09\u6b21\u65b9\u7684X\nX_quad = quadratic.fit_transform(X)\nX_cubic = cubic.fit_transform(X)\n\n# \u589e\u52a0x\u8f74\u5750\u6807\u70b9\nX_fit = np.arange(X.min(), X.max(), 1)[:, np.newaxis]\n\nlr = LinearRegression()\n\n# \u7ebf\u6027\u56de\u5f52\nlr.fit(X, y)\nlr_predict = lr.predict(X_fit)\n# \u8ba1\u7b97\u7ebf\u6027\u56de\u5f52\u7684R2\u503c\nlr_r2 = r2_score(y, lr.predict(X))\n\n# \u4e8c\u9879\u5f0f\u56de\u5f52\nlr = lr.fit(X_quad, y)\nquad_predict = lr.predict(quadratic.fit_transform(X_fit))\n# \u8ba1\u7b97\u4e8c\u9879\u5f0f\u56de\u5f52\u7684R2\u503c\nquadratic_r2 = r2_score(y, lr.predict(X_quad))\n\n# \u4e09\u9879\u5f0f\u56de\u5f52\nlr = lr.fit(X_cubic, y)\ncubic_predict = lr.predict(cubic.fit_transform(X_fit))\n# \u8ba1\u7b97\u4e09\u9879\u5f0f\u56de\u5f52\u7684R2\u503c\ncubic_r2 = r2_score(y, lr.predict(X_cubic))\nprint(lr.score(X_cubic, y))\nprint(cubic_r2)<\/code><\/pre>\n<pre><code>0.6578476405895719\n0.6578476405895719<\/code><\/pre>\n<h2>\u62a5\u544a\u51b3\u5b9a\u7cfb\u6570<\/h2>\n<p><\/p><div id=\"rml_readmorelogin_placeholder\" style=\"position:relative;\"><div id=\"rml_fade_content\" style=\"position: absolute;\r\ntop:-10em;\r\nwidth:100%;\r\nheight:10em;\r\nbackground: -webkit-linear-gradient(rgba(255, 255, 255, 0) 0%,#ffffff 100%);\r\nbackground-image: -moz-linear-gradient(rgba(255, 255, 255, 0) 0%,#ffffff 100%);\r\nbackground-image: -o-linear-gradient(rgba(255, 255, 255, 0) 0%,#ffffff 100%);\r\nbackground-image: linear-gradient(rgba(255, 255, 255, 0) 0%,#ffffff 100%);\r\nbackground-image: -ms-linear-gradient(rgba(255, 255, 255, 0) 0%,#ffffff 100%);\"><\/div><div class=\"wpf-controller aru_rml_from_in_post\" style=\"background-color:#eeeeee;border:5px solid #cce6ff;\" id=\"ARU_ReadMoreLogin_ReadMoreLoginController\"><h2 id=\"Header\">\u67e5\u770b\u66f4\u591a<\/h2><div id=\"Message\"><p>\u8054\u7cfb\u7ba1\u7406\u5458\u5fae\u4fe1tutu19192010\uff0c\u6ce8\u518c\u8d26\u53f7<\/p>\n<\/div><div id=\"StatusBarHeader\"><\/div><form id=\"ARU_ReadMoreLogin_ReadMoreLoginController\"><input name=\"post_id\" value=\"2987\" type=\"hidden\"\/><input name=\"_init_callback\" value=\"InitLogin\" type=\"hidden\"\/><input name=\"post_id\" value=\"2987\" type=\"hidden\"\/><input name=\"rt_ype\" value=\"1\" type=\"hidden\"\/><input name=\"nonce\" value=\"8a3559f28a\" type=\"hidden\"\/><input name=\"_wpnonce\" value=\"b0e6d8f8bf\" type=\"hidden\"\/><input name=\"_controller\" value=\"ARU_ReadMoreLogin\\ReadMoreLoginController\" type=\"hidden\"\/><input name=\"_proxy_controller\" value=\"ARU_ReadMoreLogin\\ReadMoreLoginController\" type=\"hidden\"\/><input name=\"_view\" value=\"ARU_ReadMoreLogin\\ReadMoreLoginView\" type=\"hidden\"\/><table 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style=\"background-color:#4D90FE;;color:#ffffff;;border:1px solid #3079ed;\" name=\"_event\" value=\"ButtonLogin\">Log in<\/button><\/p><\/td><td class=\"wpf-table-placeholder-input\"><\/td><\/tr><\/tbody><\/table><\/form><div id=\"ButtonStartRegister\"><a href=\"https:\/\/egonlin.com\/wp-login.php?action=register\">Register<\/a><\/div><div id=\"Link1\"><a href=\"https:\/\/egonlin.com\/wp-login.php?action=lostpassword\">Forgotten username or password?<\/a><\/div><div id=\"StatusBarFooter\"><\/div><\/div><\/div><div id=aru_remaining_content><\/div>","protected":false},"excerpt":{"rendered":"<p>\u591a\u9879\u5f0f\u56de\u5f52(\u6ce2\u58eb\u987f\u623f\u4ef7\u9884\u6d4b) \u5bfc\u5165\u6a21\u5757 import pandas as pd import numpy as [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2988,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[276,286],"tags":[],"_links":{"self":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/2987"}],"collection":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2987"}],"version-history":[{"count":0,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/2987\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/media\/2988"}],"wp:attachment":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2987"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2987"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2987"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}