{"id":3741,"date":"2023-07-15T20:06:32","date_gmt":"2023-07-15T20:06:32","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e5%a4%9a%e9%87%8d%e5%85%b1%e7%ba%bf%e6%80%a7\/"},"modified":"2023-07-15T20:06:32","modified_gmt":"2023-07-15T20:06:32","slug":"python-%e4%b8%ad%e7%9a%84%e5%a4%9a%e9%87%8d%e5%85%b1%e7%ba%bf%e6%80%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84%e5%a4%9a%e9%87%8d%e5%85%b1%e7%ba%bf%e6%80%a7\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u6d4b\u8bd5\u591a\u91cd\u5171\u7ebf\u6027"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728\u56de\u5f52\u5206\u6790\u4e2d\uff0c\u5f53\u4e24\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u5f7c\u6b64\u9ad8\u5ea6\u76f8\u5173\uff0c\u4ee5\u81f4\u5b83\u4eec\u5728\u56de\u5f52\u6a21\u578b\u4e2d\u4e0d\u63d0\u4f9b\u552f\u4e00\u6216\u72ec\u7acb\u7684\u4fe1\u606f\u65f6\uff0c\u5c31\u4f1a\u51fa\u73b0<a href=\"https:\/\/statorials.org\/cn\/\u591a\u91cd\u5171\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u591a\u91cd\u5171\u7ebf\u6027<\/a>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u9884\u6d4b\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u5173\u7a0b\u5ea6\u8db3\u591f\u9ad8\uff0c\u5219\u5728\u62df\u5408\u548c\u89e3\u91ca\u56de\u5f52\u6a21\u578b\u65f6\u53ef\u80fd\u4f1a\u51fa\u73b0\u95ee\u9898\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u68c0\u6d4b\u56de\u5f52\u6a21\u578b\u4e2d\u7684\u591a\u91cd\u5171\u7ebf\u6027\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u8ba1\u7b97\u79f0\u4e3a\u65b9\u5dee\u81a8\u80c0\u56e0\u5b50\uff08\u901a\u5e38\u7f29\u5199\u4e3a<strong>VIF \uff09<\/strong>\u7684\u6307\u6807\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">VIF \u8861\u91cf\u6a21\u578b\u4e2d\u9884\u6d4b\u53d8\u91cf\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u5f3a\u5ea6\u3002\u5b83\u7684\u503c\u4ecb\u4e8e 1 \u548c\u6b63\u65e0\u7a77\u5927\u4e4b\u95f4\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u4f7f\u7528\u4ee5\u4e0b\u7ecf\u9a8c\u6cd5\u5219\u6765\u89e3\u91ca VIF \u503c\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>VIF = 1\uff1a<\/strong>\u7ed9\u5b9a\u9884\u6d4b\u53d8\u91cf\u4e0e\u6a21\u578b\u4e2d\u7684\u4efb\u4f55\u5176\u4ed6\u9884\u6d4b\u53d8\u91cf\u4e4b\u95f4\u4e0d\u5b58\u5728\u76f8\u5173\u6027\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>VIF \u4ecb\u4e8e 1 \u548c 5 \u4e4b\u95f4\uff1a<\/strong>\u7ed9\u5b9a\u9884\u6d4b\u53d8\u91cf\u4e0e\u6a21\u578b\u4e2d\u7684\u5176\u4ed6\u9884\u6d4b\u53d8\u91cf\u4e4b\u95f4\u5b58\u5728\u4e2d\u7b49\u76f8\u5173\u6027\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>VIF &gt; 5<\/strong> \uff1a\u7ed9\u5b9a\u9884\u6d4b\u53d8\u91cf\u4e0e\u6a21\u578b\u4e2d\u7684\u5176\u4ed6\u9884\u6d4b\u53d8\u91cf\u4e4b\u95f4\u5b58\u5728\u5f88\u5f3a\u7684\u76f8\u5173\u6027\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u8ba1\u7b97\u6a21\u578b\u4e2d\u6bcf\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684 VIF \u503c\u6765\u68c0\u6d4b Python \u56de\u5f52\u6a21\u578b\u4e2d\u7684\u591a\u91cd\u5171\u7ebf\u6027\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aPython \u4e2d\u7684\u591a\u91cd\u5171\u7ebf\u6027\u6d4b\u8bd5<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u5404\u79cd\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">rating<\/span> ': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n\trating points assists rebounds\n0 90 25 5 11\n1 85 20 7 8\n2 82 14 7 10\n3 88 16 8 6\n4 94 27 5 6\n5 90 20 7 9\n6 76 12 6 6\n7 75 15 9 10\n8 87 14 9 10\n9 86 19 5 7<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u60f3\u8981\u62df\u5408\u4e00\u4e2a<a href=\"https:\/\/statorials.org\/cn\/\u591a\u5143\u7ebf\u6027\u56de\u5f52-1\/\" target=\"_blank\" rel=\"noopener\">\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c<\/a>\u4f7f\u7528<strong>\u5f97\u5206<\/strong>\u4f5c\u4e3a\u54cd\u5e94\u53d8\u91cf\uff0c<strong>\u5f97\u5206<\/strong>\u3001<strong>\u52a9\u653b<\/strong>\u548c<strong>\u7bee\u677f<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u8ba1\u7b97\u6a21\u578b\u4e2d\u6bcf\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684<strong>VIF<\/strong> \uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>statsmodels<\/strong>\u5e93\u4e2d\u7684<a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.stats.outliers_influence.variance_inflation_factor.html\" target=\"_blank\" rel=\"noopener\">variance_inflation_factor()<\/a>\u51fd\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> patsy <span style=\"color: #107d3f;\">import<\/span> damatrices\n<span style=\"color: #107d3f;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">outliers_influence<\/span> <span style=\"color: #107d3f;\">import<\/span> variance_inflation_factor\n\n<span style=\"color: #008080;\">#find design matrix for regression model using 'rating' as response variable<\/span> \n<span style=\"color: #ff0000;\">y<\/span> <span style=\"color: #ff0000;\">,<\/span>\n\n<span style=\"color: #008080;\">#create DataFrame to hold VIF values\n<\/span>vive_df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ()\nvive_df[' <span style=\"color: #ff0000;\">variable<\/span> '] = <span style=\"color: #3366ff;\">X.columns<\/span> \n\n<span style=\"color: #008080;\">#calculate VIF for each predictor variable<\/span> \nvive_df[' <span style=\"color: #ff0000;\">VIF<\/span> '] = [variance_inflation_factor(X. <span style=\"color: #3366ff;\">values<\/span> , i) <span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(X. <span style=\"color: #3366ff;\">shape<\/span> [1])]\n\n<span style=\"color: #008080;\">#view VIF for each predictor variable<\/span> \n<span style=\"color: #008000;\">print<\/span> (viv_df)\n\n\t       Variable VIF\n0 101.258171 Intercept\n1 1.763977 points\n2 1.959104 assists\n3 1.175030 rebounds<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6bcf\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684 VIF \u503c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u79ef\u5206\uff1a<\/strong> 1.76<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u52a9\u653b\uff1a<\/strong> 1.96<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u7bee\u677f\u6570\uff1a<\/strong> 1.18<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f\uff1a<\/strong>\u5ffd\u7565\u6a21\u677f\u4e2d\u201cIntercept\u201d\u7684 VIF\uff0c\u56e0\u4e3a\u8be5\u503c\u4e0d\u76f8\u5173\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7531\u4e8e\u6a21\u578b\u4e2d\u9884\u6d4b\u53d8\u91cf\u7684\u6bcf\u4e2a VIF \u503c\u90fd\u63a5\u8fd1 1\uff0c\u56e0\u6b64\u591a\u91cd\u5171\u7ebf\u6027\u5728\u6a21\u578b\u4e2d\u4e0d\u662f\u95ee\u9898\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/python-\u4e2d\u7684\u7b80\u5355\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u7b80\u5355\u7ebf\u6027\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u7ebf\u6027\u56de\u5f52-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u591a\u5143\u7ebf\u6027\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-\u6b8b\u5dee\u56fe\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u521b\u5efa\u6b8b\u5dee\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u56de\u5f52\u5206\u6790\u4e2d\uff0c\u5f53\u4e24\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u5f7c\u6b64\u9ad8\u5ea6\u76f8\u5173\uff0c\u4ee5\u81f4\u5b83\u4eec\u5728\u56de\u5f52\u6a21\u578b\u4e2d\u4e0d\u63d0\u4f9b\u552f\u4e00\u6216\u72ec\u7acb\u7684\u4fe1\u606f\u65f6\uff0c\u5c31\u4f1a\u51fa\u73b0\u591a\u91cd\u5171\u7ebf [&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-3741","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast 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