{"id":252,"date":"2024-09-09T16:52:41","date_gmt":"2024-09-09T08:52:41","guid":{"rendered":"https:\/\/www.luisss.top\/?p=252"},"modified":"2026-03-24T20:31:37","modified_gmt":"2026-03-24T12:31:37","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.luisss.top\/index.php\/2024\/09\/09\/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd\/","title":{"rendered":"\u673a\u5668\u5b66\u4e60"},"content":{"rendered":"\n
\"\"<\/div><\/figure>\n\n\n\n

PR(KD DD KDDM<\/strong> (\u52a8\u6001\u9886\u57df\u6a21\u578b))<\/p>\n\n\n\n

Pattern Recognition and Machine Learning<\/strong>(PRML)<\/p>\n\n\n\n

\u6a21\u5f0f\u8bc6\u522b<\/strong>\u53c8\u5e38\u79f0\u4f5c\u6a21\u5f0f\u5206\u7c7b\uff0c\u4ece\u5904\u7406\u95ee\u9898\u7684\u6027\u8d28\u548c\u89e3\u51b3\u95ee\u9898\u7684\u65b9\u6cd5\u7b49\u89d2\u5ea6<\/a>\uff0c\u6a21\u5f0f\u8bc6\u522b\u5206\u4e3a\u6709\u76d1\u7763\u7684\u5206\u7c7b\uff08Supervised Classification\uff09\u548c\u65e0\u76d1\u7763\u7684\u5206\u7c7b(Unsupervised Classification)\u4e24\u79cd\u3002<\/p>\n\n\n\n

\u4f20\u7edf\u673a\u5668\u5b66\u4e60<\/strong>\u7684\u7814\u7a76\u65b9\u5411\u4e3b\u8981\u5305\u62ec\u51b3\u7b56\u6811<\/a>\u3001\u968f\u673a\u68ee\u6797<\/a>\u3001\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc<\/a>\u3001\u8d1d\u53f6\u65af\u5b66\u4e60<\/a>\u7b49\u65b9\u9762\u7684\u7814\u7a76\u3002\u673a\u5668\u5b66\u4e60\u662f\u4e00\u95e8\u591a\u5b66\u79d1\u4ea4\u53c9\u4e13\u4e1a\uff0c\u6db5\u76d6\u6982\u7387\u8bba\u77e5\u8bc6\uff0c\u7edf\u8ba1\u5b66\u77e5\u8bc6\uff0c\u8fd1\u4f3c\u7406\u8bba\u77e5\u8bc6\u548c\u590d\u6742\u7b97\u6cd5\u77e5\u8bc6\u3002<\/p>\n\n\n\n

\u673a\u5668\u5b66\u4e60\u7b97\u6cd5<\/strong>\u662f\u4e00\u7c7b\u4ece\u6570\u636e<\/a>\u4e2d\u81ea\u52a8\u5206\u6790\u83b7\u5f97\u89c4\u5f8b<\/a>\uff0c\u5e76\u5229\u7528\u89c4\u5f8b\u5bf9\u672a\u77e5\u6570\u636e\u8fdb\u884c\u9884\u6d4b\u7684\u7b97\u6cd5\u3002<\/p>\n\n\n\n

\u6df1\u5ea6\u5b66\u4e60<\/strong>\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u79cd\uff0c\u800c\u673a\u5668\u5b66\u4e60\u662f\u5b9e\u73b0\u4eba\u5de5\u667a\u80fd\u7684\u5fc5\u7ecf\u8def\u5f84\u3002\u7814\u7a76\u6df1\u5ea6\u5b66\u4e60\u7684\u52a8\u673a\u5728\u4e8e\u5efa\u7acb\u6a21\u62df\u4eba\u8111\u8fdb\u884c\u5206\u6790\u5b66\u4e60\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u6a21\u4eff\u4eba\u8111\u7684\u673a\u5236\u6765\u89e3\u91ca\u6570\u636e\uff0c\u4f8b\u5982\u56fe\u50cf\uff0c\u58f0\u97f3\u548c\u6587\u672c\u7b49\u3002<\/p>\n\n\n\n

\u667a\u80fd\u7cfb\u7edf<\/strong>\uff08Intelligence system\uff09\u662f\u6307\u80fd\u4ea7\u751f\u4eba\u7c7b\u667a\u80fd<\/a>\u884c\u4e3a\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf<\/a>\u3002<\/p>\n\n\n\n

\u6a21\u5f0f\u8bc6\u522b\u4e0e\u673a\u5668\u5b66\u4e60\u5173\u7cfb<\/strong>\uff1a\u6a21\u5f0f\u8bc6\u522b\u662f\u6839\u636e\u5df2\u6709\u7684\u7279\u5f81\uff0c\u901a\u8fc7\u7c7b\u6bd4\u5206\u6790\u7684\u65b9\u6cd5\u4ece\u800c\u8fbe\u5230\u5224\u522b\u76ee\u7684\uff0c\u673a\u5668\u5b66\u4e60\u4fa7\u91cd\u4e8e\u5728\u7279\u5f81\u4e0d\u660e\u786e\u7684\u60c5\u51b5\u4e0b\uff0c\u7528\u67d0\u79cd\u5177\u6709\u666e\u9002\u6027\u7684\u7b97\u6cd5\u786e\u5b9a\u4e8b\u7269\u4e4b\u95f4\u7684\u5173\u7cfb\u6216\u8005\u8054\u7cfb<\/p>\n\n\n\n

<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u5206\u7c7b \u56de\u5f52 \u805a\u7c7b<\/strong><\/p>\n\n\n\n

\u56de\u5f52(<\/strong>regression)<\/p>\n\n\n\n

\u5c31\u662f\u5728\u5904\u7406\u8fde\u7eed\u6570\u636e,\u5982\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65f6\u4f7f\u7528\u7684\u6280\u672f\u3002<\/p>\n\n\n\n

\u5747\u65b9\u8bef\u5dee<\/strong>\uff1a\u4e00\u79cd\u8bc4\u4ef7\u6807\u51c6<\/p>\n\n\n\n

\u5206\u7c7b<\/strong>(classification)<\/p>\n\n\n\n

\u9274\u522b\u5783\u573e\u90ae\u4ef6\u5c31\u53ef\u4ee5\u5f52\u7c7b\u4e3a\u5206\u7c7b\u95ee\u9898\u3002\u53ea\u6709\u4e24\u4e2a\u7c7b\u522b\u7684\u95ee\u9898\u79f0\u4e3a\u4e8c\u5206\u7c7b,\u6709\u4e09\u4e2a\u53ca\u4ee5\u4e0a\u7684\u95ee\u9898\u79f0\u4e3a\u591a\u5206\u7c7b,\u6bd4\u5982\u6570\u5b57\u7684\u8bc6\u522b\u5c31\u5c5e\u4e8e\u591a\u5206\u7c7b\u95ee\u9898\u3002<\/p>\n\n\n\n

\u5206\u7c7b\u7cbe\u5ea6<\/strong>\uff1a\u5206\u7c7b\u7684\u6b63\u786e\u7387<\/p>\n\n\n\n

\u805a\u7c7b<\/strong>(clustering)<\/p>\n\n\n\n

\u805a\u7c7b\u4e0e\u5206\u7c7b\u76f8\u4f3c,\u4e0e\u5206\u7c7b\u7684\u533a\u522b\u5728\u4e8e\u6570\u636e\u5e26\u4e0d\u5e26\u6807\u7b7e\u3002\u4e5f\u6709\u4eba\u628a\u6807\u7b7e\u79f0\u4e3a\u6b63\u786e\u7b54\u6848\u6570\u636e\u3002<\/p>\n\n\n\n

\u6709\u76d1\u7763\u5b66\u4e60 \u65e0\u76d1\u7763\u5b66\u4e60 \u534a\u76d1\u7763\u5b66\u4e60 \u5f3a\u5316\u5b66\u4e60<\/strong> \u591a\u4efb\u52a1\u5b66\u4e60<\/strong><\/p>\n\n\n\n

\u6709\u76d1\u7763\u5b66\u4e60<\/strong>:\u4f7f\u7528\u6709\u6807\u7b7e\u7684\u6570\u636e\u8fdb\u884c\u5b66\u4e60,\u56de\u5f52,\u5206\u7c7b\u5c5e\u4e8e\u6709\u76d1\u7763\u5b66\u4e60<\/p>\n\n\n\n

\u65e0\u76d1\u7763\u5b66\u4e60<\/strong>:\u4f7f\u7528\u6ca1\u6709\u6807\u7b7e\u7684\u5b66\u4e60,\u805a\u7c7b\u5c5e\u4e8e\u65e0\u6807\u7b7e\u5b66\u4e60\u3002<\/p>\n\n\n\n

<\/p>\n\n\n\n

\u6cdb\u5316\u80fd\u529b<\/strong><\/p>\n\n\n\n

\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5bf9\u65b0\u9c9c\u6837\u672c\u7684\u9002\u5e94\u80fd\u529b<\/p>\n\n\n\n

\u5f52\u7eb3\u4e0e\u6f14\u7ece<\/strong><\/p>\n\n\n\n

\u5f52\u7eb3\u6cd5<\/strong>\uff08inductive reasoning\uff09<\/p>\n\n\n\n

\u662f\u4e00\u79cd\u4ece\u7279\u6b8a\u5230\u4e00\u822c\u7684\u8fc7\u7a0b\uff0c\u5728\u6709\u9650\u7684\u5b9e\u4f8b\u89c2\u5bdf\u4e2d\u5f97\u51fa\u4e00\u822c\u89c4\u5f8b\u6216\u539f\u5219\u3002\u7528\u7b80\u5355\u7684\u8bf4\u6cd5\uff0c\u5c31\u662f\u4ece\u4e00\u4e9b\u5177\u4f53\u7684\u4e8b\u7269\u6216\u60c5\u51b5\u4e2d\u603b\u7ed3\u51fa\u4e00\u822c\u6027\u7684\u7ed3\u8bba\u3002<\/p>\n\n\n\n

\u6f14\u7ece\u6cd5<\/strong>\uff08deductive reasoning\uff09<\/p>\n\n\n\n

\u662f\u4e00\u79cd\u4ece\u4e00\u822c\u5230\u7279\u6b8a\u7684\u63a8\u7406\u65b9\u6cd5\uff0c\u6839\u636e\u5df2\u77e5\u7684\u9884\u8bbe\u548c\u4e00\u822c\u89c4\u5f8b\uff0c\u63a8\u5bfc\u51fa\u7279\u6b8a\u7684\u7ed3\u8bba\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5c31\u662f\u6839\u636e\u5df2\u6709\u7684\u89c4\u5219\u548c\u524d\u63d0\u6761\u4ef6\uff0c\u63a8\u65ad\u51fa\u5177\u4f53\u7684\u7ed3\u679c\u3002<\/p>\n\n\n\n

\u5f52\u7eb3\u504f\u597d<\/strong><\/p>\n\n\n\n

\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5728\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u5bf9\u67d0\u79cd\u7c7b\u578b\u5047\u8bbe\u7684\u504f\u597d\uff0c\u79f0\u4e3a\u201c\u5f52\u7eb3\u504f\u597d<\/strong>\u201d(inductive bias)\uff0c\u6216\u8005\u7b80\u79f0\u201c\u504f\u597d\u201d\u3002<\/p>\n\n\n\n

\u6570\u636e\u96c6<\/strong><\/p>\n\n\n

\n
\"\"<\/div><\/figure><\/div>\n\n\n
\"\"<\/div><\/figure>\n\n\n\n

\u5355\u53d8\u91cf\u7ebf\u6027\u56de\u5f52<\/h3>\n\n\n\n

\u7ebf\u6027\u56de\u5f52\u7b97\u6cd5\u7684\u76ee\u7684\u662f\u5efa\u7acb\u4e00\u4e2a\u7ebf\u6027\u6a21\u578b\uff0c\u7528\u6765\u63cf\u8ff0\u81ea\u53d8\u91cf\uff08\u8f93\u5165\u7279\u5f81\uff09\u548c\u56e0\u53d8\u91cf\uff08\u8f93\u51fa\uff09\u4e4b\u95f4\u7684\u5173\u7cfb<\/strong>\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u623f\u5c4b\u4f30\u4ef7\u95ee\u9898\uff08\u5206\u6790\u65b9\u6cd5 \u6a21\u578b\u3001\u7b56\u7565\u3001\u7b97\u6cd5\uff09<\/p>\n\n\n\n

\u6211\u4eec\u6709\u8bad\u7ec3\u6837\u672c\uff0c\u6570\u636e\u6709\u623f\u5c4b\u4ef7\u683c\uff0c\u623f\u5c4b\u9762\u79ef\u3002<\/p>\n\n\n

\n
\"\"<\/div><\/figure><\/div>\n\n\n

\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\uff0c\u4f5c\u56fe\u5e76\u9009\u62e9\u5408\u9002\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n

\u8fd9\u662f\u4e00\u4e2a\u7ebf\u6027\u56de\u5f52\u95ee\u9898\uff0c\u7b97\u6cd5\u6211\u4eec\u53ef\u4ee5\u7528\u6700\u5c0f\u4e8c\u4e58\u6cd5<\/p>\n\n\n\n

\u8bc4\u4f30\u65b9\u6cd5<\/h3>\n\n\n\n

\u7559\u51fa\u6cd5<\/strong>(Holdout Method)?<\/h4>\n\n\n\n

\u2018\u7559\u51fa\u6cd5\u2019 \u76f4\u63a5\u5c06\u6570\u636e\u96c6D\u5212\u5206\u4e3a\u4e24\u4e2a\u4e92\u65a5\u7684\u96c6\u5408\uff0c\u5176\u4e2d\u4e00\u4e2a\u96c6\u5408\u4f5c\u4e3a\u8bad\u7ec3\u96c6S\uff0c\u53e6\u4e00\u4e2a\u4f5c\u4e3a\u6d4b\u8bd5\u96c6T\u5373D=S\u222aT\uff0cS\u2229T\u2260\u2205. \u5728S\u4e0a\u8bad\u7ec3\u51fa\u6a21\u578b\u540e\uff0c\u7528T\u6765\u8bc4\u4f30\u5176\u6d4b\u8bd5\u8bef\u5dee\uff0c\u4f5c\u4e3a\u6cdb\u5316\u8bef\u5dee\u7684\u4f30\u8ba1\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8bad\u7ec3\/\u6d4b\u8bd5\u96c6\u7684\u5212\u5206\u8981\u5c3d\u53ef\u80fd\u4fdd\u6301\u6570\u636e\u5206\u5e03\u7684\u4e00\u81f4\u6027\uff0c\u907f\u514d\u56e0\u6570\u636e\u5212\u5206\u8fc7\u7a0b\u5f15\u5165\u989d\u5916\u7684\u504f\u5dee\u800c\u5bf9\u6700\u7ec8\u7ed3\u679c\u4ea7\u751f\u5f71\u54cd\uff0c\u5728\u5206\u7c7b\u4efb\u52a1\u4e2d\u8981\u4fdd\u6301\u6837\u672c\u7c7b\u522b\u6bd4\u4f8b\u76f8\u4f3c\uff0c\u53d6\u6837\u901a\u5e38\u91c7\u7528\u7684\u662f\u3010\u5206\u5c42\u62bd\u6837<\/strong>\u3011
<\/p>\n\n\n

\n
\"\"<\/div><\/figure><\/div>\n\n\n

\u6b65\u9aa4<\/p>\n\n\n\n

    \n
  1. \u5c06\u539f\u59cb\u6570\u636e\u96c6\u5206\u6210\u4e24\u4e2a\u90e8\u5206<\/strong>\uff1a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u901a\u5e38\uff0c\u8bad\u7ec3\u96c6\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\uff0c\u6d4b\u8bd5\u96c6\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u3002<\/li>\n\n\n\n
  2. \u4f7f\u7528\u8bad\u7ec3\u96c6\u8bad\u7ec3\u6a21\u578b<\/strong>\u3002<\/li>\n\n\n\n
  3. \u4f7f\u7528\u6d4b\u8bd5\u96c6\u8bc4\u4f30\u6a21\u578b\uff0c\u8ba1\u7b97\u6a21\u578b\u7684\u5404\u9879\u6027\u80fd\u6307\u6807\uff0c\u5982\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387<\/strong>\u7b49\u3002<\/li>\n\n\n\n
  4. \u6839\u636e\u6d4b\u8bd5\u96c6\u7684\u8bc4\u4f30\u7ed3\u679c\uff0c\u5bf9\u6a21\u578b\u8fdb\u884c\u8c03\u6574\u548c\u4f18\u5316<\/strong>\u3002<\/li>\n\n\n\n
  5. \u91cd\u590d\u6b65\u9aa4b-d<\/strong>\uff0c\u76f4\u5230\u6a21\u578b\u6027\u80fd\u8fbe\u5230\u6ee1\u610f\u7684\u6c34\u5e73\u3002<\/li>\n<\/ol>\n\n\n\n

    \u4ea4\u53c9\u9a8c\u8bc1\u6cd5 (Cross-Validation Method)<\/strong><\/h4>\n\n\n\n

    Cross Validation\uff1a\u7b80\u8a00\u4e4b\uff0c\u5c31\u662f\u8fdb\u884c\u591a\u6b21train_test_split\u5212\u5206\uff1b
    \u6bcf\u6b21\u5212\u5206\u65f6\uff0c\u5728\u4e0d\u540c\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\u3001\u6d4b\u8bd5\u8bc4\u4f30\uff0c\u4ece\u800c\u5f97\u51fa\u4e00\u4e2a\u8bc4\u4ef7\u7ed3\u679c\uff1b\u5982\u679c\u662f5\u6298\u4ea4\u53c9\u9a8c\u8bc1\uff0c\u610f\u601d\u5c31\u662f\u5728\u539f\u59cb\u6570\u636e\u96c6\u4e0a\uff0c\u8fdb\u884c5\u6b21\u5212\u5206<\/strong>\uff0c\u6bcf\u6b21\u5212\u5206\u8fdb\u884c\u4e00\u6b21\u8bad\u7ec3\u3001\u8bc4\u4f30\uff0c\u6700\u540e\u5f97\u52305\u6b21\u5212\u5206\u540e\u7684\u8bc4\u4f30\u7ed3\u679c\uff0c\u4e00\u822c\u5728\u8fd9\u51e0\u6b21\u8bc4\u4f30\u7ed3\u679c\u4e0a\u53d6\u5e73\u5747\u5f97\u5230\u6700\u540e\u7684\u8bc4\u5206\u3002k-fold cross-validation \uff0c\u5176\u4e2d\uff0ck\u4e00\u822c\u53d65\u621610\u3002\u5982\u679ck=\u6570\u636e\u96c6\u4e2a\u6570\uff0c\u90a3\u4e48\u8fd9\u79cd\u65b9\u6cd5\u53eb\u505a\u7559\u4e00\u6cd5\uff0c\u4e0d\u9002\u7528\u4e8e\u5927\u91cf\u6570\u636e<\/p>\n\n\n\n

    \u4ea4\u53c9\u9a8c\u8bc1\u7684\u4f18\u70b9<\/strong><\/h4>\n\n\n\n

    \u5bf9\u6570\u636e\u7684\u4f7f\u7528\u6548\u7387\u66f4\u9ad8<\/p>\n\n\n\n

    \u6570\u636e\u5212\u5206\u5177\u6709\u5076\u7136\u6027\uff0c\u6570\u636e\u91cf\u8d8a\u5927\uff0c\u6a21\u578b\u51c6\u786e\u7387\u8d8a\u9ad8\uff01<\/p>\n\n\n

    \n
    \"\"<\/div><\/figure><\/div>\n\n\n


    <\/p>\n\n\n\n

    \u4ea4\u53c9\u9a8c\u8bc1\u6cd5\u7684\u4e3b\u8981\u6b65\u9aa4<\/strong>\uff1a<\/p>\n\n\n\n

      \n
    • \u5c06\u539f\u59cb\u6570\u636e\u96c6\u5206\u6210k\u4e2a\u90e8\u5206\uff0c\u5176\u4e2dk-1\u4e2a\u90e8\u5206\u4f5c\u4e3a\u8bad\u7ec3\u96c6\uff0c\u5269\u4f59\u7684\u90e8\u5206\u4f5c\u4e3a\u6d4b\u8bd5\u96c6\u3002<\/li>\n\n\n\n
    • \u4f7f\u7528k-1\u4e2a\u90e8\u5206\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n
    • \u4f7f\u7528\u5269\u4f59\u7684\u90e8\u5206\u6d4b\u8bd5\u6a21\u578b\uff0c\u8ba1\u7b97\u6a21\u578b\u7684\u5404\u9879\u6027\u80fd\u6307\u6807\u3002<\/li>\n\n\n\n
    • \u91cd\u590d\u6b65\u9aa4b-c\uff0c\u76f4\u5230\u6bcf\u4e2a\u90e8\u5206\u90fd\u88ab\u7528\u4f5c\u6d4b\u8bd5\u96c6\u4e00\u6b21\u3002<\/li>\n\n\n\n
    • \u5bf9\u6240\u6709\u7684\u6d4b\u8bd5\u7ed3\u679c\u8fdb\u884c\u5e73\u5747\uff0c\u5f97\u5230\u6a21\u578b\u7684\u6700\u7ec8\u6027\u80fd\u6307\u6807\u3002<\/li>\n\n\n\n
    • \u6839\u636e\u6700\u7ec8\u6027\u80fd\u6307\u6807\uff0c\u5bf9\u6a21\u578b\u8fdb\u884c\u8c03\u6574\u548c\u4f18\u5316\u3002<\/li>\n\n\n\n
    • \u91cd\u590d\u6b65\u9aa4b-f\uff0c\u76f4\u5230\u6a21\u578b\u6027\u80fd\u8fbe\u5230\u6ee1\u610f\u7684\u6c34\u5e73\u3002<\/li>\n<\/ul>\n\n\n\n

      \u81ea\u52a9\u6cd5<\/strong> (Bootstrap Method)<\/h4>\n\n\n\n

      \u81ea\u52a9\u6cd5\u7684\u4f18\u70b9\u662f\u80fd\u591f\u4ece\u6709\u9650\u7684\u6570\u636e\u96c6\u4e2d\u4ea7\u751f\u591a\u4e2a\u4e0d\u540c\u7684\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u4ece\u800c\u66f4\u597d\u5730\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd<\/strong>\u3002\u4f46\u662f\uff0c\u7531\u4e8e\u6bcf\u6b21\u62bd\u6837\u90fd\u4f1a\u4ea7\u751f\u4e0d\u540c\u7684\u6570\u636e\u96c6\uff0c\u56e0\u6b64\u81ea\u52a9\u6cd5\u4f1a\u5f15\u5165\u989d\u5916\u7684\u968f\u673a\u6027\uff0c\u4f7f\u5f97\u6a21\u578b\u8bc4\u4f30\u7684\u7ed3\u679c\u66f4\u52a0\u4e0d\u7a33\u5b9a\u3002\u7531\u4e8e\u6bcf\u6b21\u62bd\u6837\u53ef\u80fd\u4f1a\u4ea7\u751f\u91cd\u590d\u7684\u6837\u672c\uff0c\u56e0\u6b64\u65b0\u6570\u636e\u96c6\u7684\u5927\u5c0f\u4e0e\u539f\u59cb\u6570\u636e\u96c6\u76f8\u540c\uff0c\u4f46\u662f\u5176\u4e2d\u5927\u7ea6\u670936.8%\u7684\u6837\u672c\u6ca1\u6709\u51fa\u73b0\u5728\u65b0\u6570\u636e\u96c6\u4e2d\u3002<\/p>\n\n\n\n

      \u8c03\u53c2\u4e0e\u9a8c\u8bc1\u96c6\u4e0e\u6027\u80fd\u6307\u6807<\/strong><\/h4>\n\n\n\n

      \u8fd9\u91cc\u6d89\u53ca\u5230\u8d85\u53c2\u6570
      \u7ecf\u9a8c\u8bef\u5dee\u4e0e\u8fc7\u62df\u5408
      <\/p>\n\n\n\n

      \u9519\u8bef\u7387 \u7cbe\u5ea6 \u8bef\u5dee<\/strong><\/h3>\n\n\n\n

      \u8bef\u5dee\uff1a\u5206\u8bad\u7ec3\u8bef\u5dee\uff0c\u6d4b\u8bd5\u8bef\u5dee\uff0c\u6cdb\u5316\u8bef\u5dee<\/p>\n\n\n\n

      \u8fc7\u62df\u5408\u6b20\u62df\u5408<\/strong>\uff1a
      \u8bad\u7ec3\u8bef\u5dee\u4f4e \u6d4b\u8bd5\u8bef\u5dee\u9ad8\uff1b\u8bad\u7ec3\u548c\u6d4b\u8bd5\u8bef\u5dee\u90fd\u9ad8
      \u89e3\u51b3\u65b9\u6cd5\uff1a
      \u8fc7\u62df\u5408\uff1a\u4f18\u5316\u76ee\u6807\u52a0\u6b63\u5219\u9879\uff1b\u589e\u52a0\u6837\u672c\u6570\u91cf\uff1b\u63d0\u524d\u505c\u6b62\uff1b
      \u6b20\u62df\u5408\uff1a\u51b3\u7b56\u6811\uff0c\u6269\u5c55\u5206\u652f\uff1b\u795e\u7ecf\u7f51\u7edc\uff0c\u589e\u52a0\u8bad\u7ec3\u8bba\u8ff0\uff1b
      \u6b63\u5219\u9879\uff08\u60e9\u7f5a\u9879\uff09<\/p>\n\n\n\n

      \u7ebf\u6027\u56de\u5f52\u6a21\u578b y=ax+b
      \u635f\u5931\u51fd\u6570 1\/N*\u03a3[ax+b-y]2<\/sup>
      \u4f18\u5316\u7b97\u6cd5 \u6700\u5c0f\u4e8c\u4e58\u6cd5(\u533a\u522b\u8bc4\u4f30\u65b9\u6cd5)<\/p>\n\n\n\n

      \u6027\u80fd\u5ea6\u91cf<\/strong><\/p>\n\n\n\n

      \u56de\u5f52\u662f \u5747\u65b9\u5dee\uff08mse\uff09
      \u5206\u7c7b\u662f <\/p>\n\n\n\n

        \n
      • \u5206\u7c7b\u7cbe\u5ea6\u548c\u5206\u7c7b\u8bef\u5dee<\/strong>(\u9519\u8bef\u7387)<\/li>\n\n\n\n
      • P:\u67e5\u51c6\u7387(precision)<\/li>\n\n\n\n
      • R:\u67e5\u5168\u7387(recall)<\/li>\n\n\n\n
      • F:<\/li>\n<\/ul>\n\n\n\n

        \u6df7\u6dc6\u77e9\u9635
        <\/p>\n\n\n

        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        PR\u66f2\u7ebf<\/p>\n\n\n\n

        \u5e73\u8861\u70b9<\/p>\n\n\n

        \n
        \"\"<\/div>
        PR\u66f2\u7ebf<\/figcaption><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        *\u4ee3\u4ef7\u66f2\u7ebf<\/p>\n\n\n\n

        \u504f\u5dee\u4e0e\u65b9\u5dee<\/strong>
        \u6cdb\u5316\u8bef\u5dee\u53ef\u5206\u89e3\u4e3a\u504f\u5dee\uff08bias\uff09\uff08\u5e73\u5747\u503c\u6bd4\u8f83\uff09\uff0c\u65b9\u5dee\uff08var\uff09\uff08\u7a33\u5b9a\u6027\u6bd4\u8f83\uff09\uff0c\u566a\u58f0\uff08\u03b5\uff09<\/p>\n\n\n

        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        \u8bad\u7ec3\u96c6\u6b63\u786e\u7387-\u6d4b\u8bd5\u96c6\u6b63\u786e\u7387=\u65b9\u5dee\u8bef\u5dee
        1-\u8bad\u7ec3\u96c6\u6b63\u786e\u7387 = \u504f\u5dee\u8bef\u5dee<\/p>\n\n\n

        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        \u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/strong>\uff1f<\/h3>\n\n\n\n

        \u7528\u5411\u91cf\u5f62\u5f0f\u8868\u793a<\/p>\n\n\n

        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        \u5bf9\u6570\u51e0\u7387\u56de\u5f52 – \u6781\u5927\u4f3c\u7136\u6cd5<\/strong><\/h3>\n\n\n\n
        \"\"<\/div><\/figure>\n\n\n\n

        <\/p>\n\n\n\n

        \u795e\u7ecf\u7f51\u7edc<\/p>\n\n\n\n

        \u795e\u7ecf\u5143\u6a21\u578b<\/p>\n\n\n\n

        \u6fc0\u6d3b\u51fd\u6570(\u7c7b\u4f3c\u4e8e\u9636\u8dc3)<\/p>\n\n\n

        \n
        \"\"<\/div><\/figure><\/div>\n\n
        \n
        \"\"<\/div><\/figure><\/div>\n\n\n

        \u8bef\u5dee\u9006\u4f20\u64ad\u7b97\u6cd5<\/p>\n\n\n\n

        \u5176\u4ed6\u795e\u7ecf\u7f51\u7edc\uff08\u7565\uff09<\/p>\n\n\n\n

        \u51b3\u7b56\u6811<\/p>\n\n\n\n

        \u65e0\u76d1\u7763\u65b9\u6cd5<\/p>\n\n\n\n

        <\/p>\n\n\n\n

        \"\"<\/div><\/figure>\n\n\n\n

        \u589e\u76ca\u7387 \u548c \u57fa\u5c3c\u6307\u6570<\/p>\n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        PR(KD DD KDDM (\u52a8\u6001\u9886\u57df\u6a21\u578b)) Pattern Recognition and Machine […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-252","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/posts\/252","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/comments?post=252"}],"version-history":[{"count":46,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/posts\/252\/revisions"}],"predecessor-version":[{"id":1683,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/posts\/252\/revisions\/1683"}],"wp:attachment":[{"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/media?parent=252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/categories?post=252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.luisss.top\/index.php\/wp-json\/wp\/v2\/tags?post=252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}