{"id":479036,"date":"2023-08-09T10:01:33","date_gmt":"2023-08-09T10:01:33","guid":{"rendered":""},"modified":"2023-09-05T11:18:03","modified_gmt":"2023-09-05T11:18:03","slug":"smote","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/smote\/","title":{"rendered":"\u65af\u83ab\u7279"},"content":{"rendered":"

SMOTE \u662f\u5408\u6210\u5c11\u6570\u8fc7\u91c7\u6837\u6280\u672f\u7684\u7f29\u5199\uff0c\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u7528\u4e8e\u89e3\u51b3\u6570\u636e\u96c6\u4e0d\u5e73\u8861\u95ee\u9898\u7684\u4e00\u79cd\u5f3a\u5927\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\u3002\u5728\u8bb8\u591a\u73b0\u5b9e\u573a\u666f\u4e2d\uff0c\u6570\u636e\u96c6\u901a\u5e38\u5305\u542b\u4e0d\u5e73\u8861\u7684\u7c7b\u5206\u5e03\uff0c\u5176\u4e2d\u4e00\u4e2a\u7c7b\uff08\u5c11\u6570\u7c7b\uff09\u7684\u5b9e\u4f8b\u6570\u91cf\u660e\u663e\u5c11\u4e8e\u5176\u4ed6\u7c7b\uff08\u591a\u6570\u7c7b\uff09\u3002\u8fd9\u79cd\u4e0d\u5e73\u8861\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6a21\u578b\u6709\u504f\u5dee\uff0c\u5728\u8bc6\u522b\u5c11\u6570\u7fa4\u4f53\u65b9\u9762\u8868\u73b0\u4e0d\u4f73\uff0c\u4ece\u800c\u5bfc\u81f4\u9884\u6d4b\u4e0d\u7406\u60f3\u3002<\/p>\n

SMOTE \u7684\u5f15\u5165\u662f\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u901a\u8fc7\u751f\u6210\u5c11\u6570\u7c7b\u522b\u7684\u5408\u6210\u6837\u672c\uff0c\u4ece\u800c\u5e73\u8861\u7c7b\u522b\u5206\u5e03\u5e76\u589e\u5f3a\u6a21\u578b\u5411\u5c11\u6570\u7c7b\u522b\u5b66\u4e60\u7684\u80fd\u529b\u3002\u8be5\u6280\u672f\u5728\u533b\u7597\u8bca\u65ad\u3001\u6b3a\u8bc8\u68c0\u6d4b\u548c\u56fe\u50cf\u5206\u7c7b\u7b49\u6570\u636e\u96c6\u4e0d\u5e73\u8861\u666e\u904d\u5b58\u5728\u7684\u9886\u57df\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n

SMOTE \u7684\u8d77\u6e90\u5386\u53f2\u548c\u9996\u6b21\u63d0\u53ca<\/h2>\n

SMOTE \u7531 Nitesh V. Chawla\u3001Kevin W. Bowyer\u3001Lawrence O. Hall \u548c W. Philip Kegelmeyer \u5728 2002 \u5e74\u53d1\u8868\u7684\u9898\u4e3a\u201cSMOTE\uff1a\u5408\u6210\u5c11\u6570\u8fc7\u91c7\u6837\u6280\u672f\u201d\u7684\u5f00\u521b\u6027\u8bba\u6587\u4e2d\u63d0\u51fa\u3002\u4f5c\u8005\u8ba4\u8bc6\u5230\u4e86 SMOTE \u5e26\u6765\u7684\u6311\u6218\u4e0d\u5e73\u8861\u7684\u6570\u636e\u96c6\uff0c\u5e76\u5f00\u53d1\u4e86 SMOTE \u4f5c\u4e3a\u4e00\u79cd\u521b\u65b0\u89e3\u51b3\u65b9\u6848\uff0c\u4ee5\u51cf\u8f7b\u6b64\u7c7b\u6570\u636e\u96c6\u9020\u6210\u7684\u504f\u5dee\u3002<\/p>\n

Chawla \u7b49\u4eba\u7684\u7814\u7a76\u3002\u8bc1\u660e SMOTE \u5728\u5904\u7406\u4e0d\u5e73\u8861\u6570\u636e\u65f6\u663e\u7740\u63d0\u9ad8\u4e86\u5206\u7c7b\u5668\u7684\u6027\u80fd\u3002\u81ea\u6b64\uff0cSMOTE \u5f00\u59cb\u6d41\u884c\u5e76\u6210\u4e3a\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u4e00\u9879\u57fa\u7840\u6280\u672f\u3002<\/p>\n

\u5173\u4e8e SMOTE \u7684\u8be6\u7ec6\u4fe1\u606f<\/h2>\n

SMOTE\u7684\u5185\u90e8\u7ed3\u6784\u2014\u2014SMOTE\u5982\u4f55\u5de5\u4f5c<\/h3>\n

SMOTE \u7684\u5de5\u4f5c\u539f\u7406\u662f\u901a\u8fc7\u5728\u5c11\u6570\u7c7b\u7684\u73b0\u6709\u5b9e\u4f8b\u4e4b\u95f4\u8fdb\u884c\u63d2\u503c\u6765\u4e3a\u5c11\u6570\u7c7b\u521b\u5efa\u5408\u6210\u6837\u672c\u3002 SMOTE\u7b97\u6cd5\u7684\u5173\u952e\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n

    \n
  1. \u8bc6\u522b\u6570\u636e\u96c6\u4e2d\u7684\u5c11\u6570\u7c7b\u5b9e\u4f8b\u3002<\/li>\n
  2. \u5bf9\u4e8e\u6bcf\u4e2a\u5c11\u6570\u5b9e\u4f8b\uff0c\u786e\u5b9a\u5176\u5728\u5c11\u6570\u7c7b\u4e2d\u7684 k \u4e2a\u6700\u8fd1\u90bb\u5c45\u3002<\/li>\n
  3. \u968f\u673a\u9009\u62e9 k \u4e2a\u6700\u8fd1\u90bb\u4e4b\u4e00\u3002<\/li>\n
  4. \u901a\u8fc7\u91c7\u7528\u6240\u9009\u90bb\u5c45\u548c\u539f\u59cb\u5b9e\u4f8b\u7684\u7ebf\u6027\u7ec4\u5408\u6765\u751f\u6210\u5408\u6210\u5b9e\u4f8b\u3002<\/li>\n<\/ol>\n

    SMOTE \u7b97\u6cd5\u53ef\u4ee5\u603b\u7ed3\u4e3a\u4ee5\u4e0b\u7b49\u5f0f\uff0c\u5176\u4e2d x_i \u8868\u793a\u539f\u59cb\u5c11\u6570\u5b9e\u4f8b\uff0cx_n \u662f\u968f\u673a\u9009\u62e9\u7684\u90bb\u5c45\uff0c\u03b1 \u662f 0 \u5230 1 \u4e4b\u95f4\u7684\u968f\u673a\u503c\uff1a<\/p>\n

    \u5408\u6210\u5b9e\u4f8b = x_i + \u03b1 * (x_n \u2013 x_i)<\/p>\n

    \u901a\u8fc7\u8fed\u4ee3\u5730\u5c06 SMOTE \u5e94\u7528\u4e8e\u5c11\u6570\u7c7b\u5b9e\u4f8b\uff0c\u91cd\u65b0\u5e73\u8861\u7c7b\u5206\u5e03\uff0c\u4ece\u800c\u4ea7\u751f\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u7684\u66f4\u5177\u4ee3\u8868\u6027\u7684\u6570\u636e\u96c6\u3002<\/p>\n

    SMOTE\u5173\u952e\u7279\u6027\u5206\u6790<\/h2>\n

    SMOTE\u7684\u4e3b\u8981\u7279\u70b9\u5982\u4e0b\uff1a<\/p>\n

      \n
    1. \n

      \u6570\u636e\u589e\u5f3a<\/strong>\uff1aSMOTE \u901a\u8fc7\u751f\u6210\u5408\u6210\u6837\u672c\u6765\u589e\u5f3a\u5c11\u6570\u7c7b\u522b\uff0c\u89e3\u51b3\u6570\u636e\u96c6\u4e2d\u7684\u7c7b\u522b\u4e0d\u5e73\u8861\u95ee\u9898\u3002<\/p>\n<\/li>\n

    2. \n

      \u51cf\u5c11\u504f\u5dee<\/strong>\uff1a\u901a\u8fc7\u589e\u52a0\u5c11\u6570\u7c7b\u5b9e\u4f8b\u7684\u6570\u91cf\uff0cSMOTE \u51cf\u5c11\u4e86\u5206\u7c7b\u5668\u4e2d\u7684\u504f\u5dee\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u5c11\u6570\u7c7b\u7684\u9884\u6d4b\u6027\u80fd\u3002<\/p>\n<\/li>\n

    3. \n

      \u666e\u904d\u6027<\/strong>\uff1aSMOTE\u53ef\u4ee5\u5e94\u7528\u4e8e\u5404\u79cd\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u4e0d\u9650\u4e8e\u4efb\u4f55\u7279\u5b9a\u7684\u6a21\u578b\u7c7b\u578b\u3002<\/p>\n<\/li>\n

    4. \n

      \u6613\u4e8e\u5b9e\u65bd<\/strong>\uff1aSMOTE \u5b9e\u65bd\u8d77\u6765\u5f88\u7b80\u5355\uff0c\u5e76\u4e14\u53ef\u4ee5\u65e0\u7f1d\u96c6\u6210\u5230\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u7ba1\u9053\u4e2d\u3002<\/p>\n<\/li>\n<\/ol>\n

      SMOTE \u7684\u7c7b\u578b<\/h2>\n

      SMOTE \u6709\u591a\u79cd\u53d8\u4f53\u548c\u9002\u5e94\u6027\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7c7b\u578b\u7684\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u3002\u4e00\u4e9b\u5e38\u7528\u7684 SMOTE \u7c7b\u578b\u5305\u62ec\uff1a<\/p>\n

        \n
      1. \n

        \u5e38\u89c4 SMOTE<\/strong>\uff1a\u8fd9\u662f\u5982\u4e0a\u6240\u8ff0\u7684 SMOTE \u7684\u6807\u51c6\u7248\u672c\uff0c\u5b83\u6cbf\u7740\u8fde\u63a5\u5c11\u6570\u5b9e\u4f8b\u53ca\u5176\u90bb\u5c45\u7684\u7ebf\u521b\u5efa\u5408\u6210\u5b9e\u4f8b\u3002<\/p>\n<\/li>\n

      2. \n

        \u8fb9\u7f18 SMOTE<\/strong>\uff1a\u6b64\u53d8\u4f53\u4fa7\u91cd\u4e8e\u5728\u5c11\u6570\u7c7b\u548c\u591a\u6570\u7c7b\u4e4b\u95f4\u7684\u8fb9\u754c\u9644\u8fd1\u751f\u6210\u5408\u6210\u6837\u672c\uff0c\u4f7f\u5176\u5bf9\u4e8e\u5177\u6709\u91cd\u53e0\u7c7b\u7684\u6570\u636e\u96c6\u66f4\u52a0\u6709\u6548\u3002<\/p>\n<\/li>\n

      3. \n

        ADASYN\uff08\u81ea\u9002\u5e94\u5408\u6210\u91c7\u6837\uff09<\/strong>\uff1aADASYN \u5728 SMOTE \u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u6539\u8fdb\uff0c\u4e3a\u96be\u4ee5\u5b66\u4e60\u7684\u5c11\u6570\u5b9e\u4f8b\u5206\u914d\u4e86\u66f4\u9ad8\u7684\u91cd\u8981\u6027\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u66f4\u597d\u7684\u6cdb\u5316\u3002<\/p>\n<\/li>\n

      4. \n

        SMOTEBoost<\/strong>\uff1aSMOTEBoost \u5c06 SMOTE \u4e0e boosting \u6280\u672f\u76f8\u7ed3\u5408\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u5206\u7c7b\u5668\u5728\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n<\/li>\n

      5. \n

        \u5b89\u5168\u7ea7 SMOTE<\/strong>\uff1a\u6b64\u53d8\u4f53\u901a\u8fc7\u6839\u636e\u6bcf\u4e2a\u5b9e\u4f8b\u7684\u5b89\u5168\u7ea7\u522b\u63a7\u5236\u751f\u6210\u7684\u5408\u6210\u6837\u672c\u7684\u6570\u91cf\u6765\u964d\u4f4e\u8fc7\u5ea6\u62df\u5408\u7684\u98ce\u9669\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u4e0b\u9762\u662f\u4e00\u4e2a\u6bd4\u8f83\u8868\uff0c\u603b\u7ed3\u4e86\u8fd9\u4e9b SMOTE \u53d8\u4f53\u4e4b\u95f4\u7684\u5dee\u5f02\uff1a<\/p>\n\n\n\n\n\n\n\n\n\n
        SMOTE \u53d8\u4f53<\/th>\n\u65b9\u6cd5<\/th>\n\u91cd\u70b9<\/th>\n\u8fc7\u62df\u5408\u63a7\u5236<\/th>\n<\/tr>\n<\/thead>\n
        \u5e38\u89c4 SMOTE<\/td>\n\u7ebf\u6027\u63d2\u503c<\/td>\n\u4e0d\u9002\u7528<\/td>\n\u4e0d<\/td>\n<\/tr>\n
        \u8fb9\u7f18 SMOTE<\/td>\n\u975e\u7ebf\u6027\u63d2\u503c<\/td>\n\u9760\u8fd1\u73ed\u7ea7\u8fb9\u754c<\/td>\n\u4e0d<\/td>\n<\/tr>\n
        ADASYN<\/td>\n\u52a0\u6743\u63d2\u503c<\/td>\n\u96be\u5b66\u7684\u5c11\u6570\u6848\u4f8b<\/td>\n\u4e0d<\/td>\n<\/tr>\n
        SMOTEBoost<\/td>\n\u63d0\u5347+SMOTE<\/td>\n\u4e0d\u9002\u7528<\/td>\n\u662f\u7684<\/td>\n<\/tr>\n
        \u5b89\u5168\u7ea7 SMOTE<\/td>\n\u7ebf\u6027\u63d2\u503c<\/td>\n\u57fa\u4e8e\u5b89\u5168\u7ea7\u522b<\/td>\n\u662f\u7684<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        SMOTE\u7684\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6cd5<\/h2>\n

        SMOTE \u7684\u4f7f\u7528\u65b9\u6cd5<\/h3>\n

        SMOTE \u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u63d0\u9ad8\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5728\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\uff1a<\/p>\n

          \n
        1. \n

          \u9884\u5904\u7406<\/strong>\uff1a\u5728\u8bad\u7ec3\u6a21\u578b\u4e4b\u524d\u5e94\u7528 SMOTE \u6765\u5e73\u8861\u7c7b\u522b\u5206\u5e03\u3002<\/p>\n<\/li>\n

        2. \n

          \u5408\u594f\u6280\u5de7<\/strong>\uff1a\u5c06 SMOTE \u4e0e\u968f\u673a\u68ee\u6797\u6216\u68af\u5ea6\u63d0\u5347\u7b49\u96c6\u6210\u65b9\u6cd5\u76f8\u7ed3\u5408\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u7ed3\u679c\u3002<\/p>\n<\/li>\n

        3. \n

          \u5355\u4e00\u73ed\u7ea7\u5b66\u4e60<\/strong>\uff1a\u4f7f\u7528 SMOTE \u6765\u589e\u5f3a\u65e0\u76d1\u7763\u5b66\u4e60\u4efb\u52a1\u7684\u4e00\u7c7b\u6570\u636e\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u95ee\u9898\u4e0e\u89e3\u51b3\u65b9\u6848<\/h3>\n

          \u867d\u7136 SMOTE \u662f\u5904\u7406\u4e0d\u5e73\u8861\u6570\u636e\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u4f46\u5b83\u5e76\u975e\u6ca1\u6709\u6311\u6218\uff1a<\/p>\n

            \n
          1. \n

            \u8fc7\u62df\u5408<\/strong>\uff1a\u751f\u6210\u8fc7\u591a\u7684\u5408\u6210\u5b9e\u4f8b\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8fc7\u5ea6\u62df\u5408\uff0c\u5bfc\u81f4\u6a21\u578b\u5728\u672a\u89c1\u8fc7\u7684\u6570\u636e\u4e0a\u8868\u73b0\u4e0d\u4f73\u3002\u4f7f\u7528\u5b89\u5168\u7ea7\u522b SMOTE \u6216 ADASYN \u53ef\u4ee5\u5e2e\u52a9\u63a7\u5236\u8fc7\u5ea6\u62df\u5408\u3002<\/p>\n<\/li>\n

          2. \n

            \u7ef4\u5ea6\u8bc5\u5492<\/strong>\uff1a\u7531\u4e8e\u6570\u636e\u7684\u7a00\u758f\u6027\uff0cSMOTE \u7684\u6709\u6548\u6027\u5728\u9ad8\u7ef4\u7279\u5f81\u7a7a\u95f4\u4e2d\u53ef\u80fd\u4f1a\u964d\u4f4e\u3002\u53ef\u4ee5\u91c7\u7528\u7279\u5f81\u9009\u62e9\u6216\u964d\u7ef4\u6280\u672f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n<\/li>\n

          3. \n

            \u566a\u58f0\u653e\u5927<\/strong>\uff1a\u5982\u679c\u539f\u59cb\u6570\u636e\u5305\u542b\u5f02\u5e38\u503c\uff0cSMOTE \u53ef\u80fd\u4f1a\u751f\u6210\u5608\u6742\u7684\u5408\u6210\u5b9e\u4f8b\u3002\u5f02\u5e38\u503c\u53bb\u9664\u6280\u672f\u6216\u4fee\u6539\u7684 SMOTE \u5b9e\u73b0\u53ef\u4ee5\u7f13\u89e3\u6b64\u95ee\u9898\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u4e3b\u8981\u7279\u70b9\u53ca\u4e0e\u540c\u7c7b\u672f\u8bed\u7684\u5176\u4ed6\u6bd4\u8f83<\/h2>\n\n\n\n\n\n\n\n\n\n\n
            \u7279\u5f81<\/th>\n\u65af\u83ab\u7279<\/th>\nADASYN<\/th>\n\u968f\u673a\u8fc7\u91c7\u6837<\/th>\n<\/tr>\n<\/thead>\n
            \u7c7b\u578b<\/td>\n\u6570\u636e\u589e\u5f3a<\/td>\n\u6570\u636e\u589e\u5f3a<\/td>\n\u6570\u636e\u589e\u5f3a<\/td>\n<\/tr>\n
            \u5408\u6210\u6837\u54c1\u6e90<\/td>\n\u6700\u8fd1\u90bb\u5c45<\/td>\n\u57fa\u4e8e\u76f8\u4f3c\u6027<\/td>\n\u590d\u5236\u5b9e\u4f8b<\/td>\n<\/tr>\n
            \u8fc7\u62df\u5408\u63a7\u5236<\/td>\n\u4e0d<\/td>\n\u662f\u7684<\/td>\n\u4e0d<\/td>\n<\/tr>\n
            \u5904\u7406\u566a\u58f0\u6570\u636e<\/td>\n\u662f\u7684<\/td>\n\u662f\u7684<\/td>\n\u4e0d<\/td>\n<\/tr>\n
            \u590d\u6742<\/td>\n\u4f4e\u7684<\/td>\n\u7f13\u548c<\/td>\n\u4f4e\u7684<\/td>\n<\/tr>\n
            \u8868\u73b0<\/td>\n\u597d\u7684<\/td>\n\u66f4\u597d\u7684<\/td>\n\u5404\u4e0d\u76f8\u540c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \u4e0e SMOTE \u76f8\u5173\u7684\u672a\u6765\u524d\u666f\u548c\u6280\u672f<\/h2>\n

            SMOTE \u548c\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u4e0d\u5e73\u8861\u6570\u636e\u5904\u7406\u7684\u672a\u6765\u662f\u5145\u6ee1\u5e0c\u671b\u7684\u3002\u7814\u7a76\u4eba\u5458\u548c\u4ece\u4e1a\u8005\u4e0d\u65ad\u5f00\u53d1\u548c\u6539\u8fdb\u73b0\u6709\u6280\u672f\uff0c\u65e8\u5728\u66f4\u6709\u6548\u5730\u89e3\u51b3\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u5e26\u6765\u7684\u6311\u6218\u3002\u4e00\u4e9b\u6f5c\u5728\u7684\u672a\u6765\u65b9\u5411\u5305\u62ec\uff1a<\/p>\n

              \n
            1. \n

              \u6df1\u5ea6\u5b66\u4e60\u6269\u5c55<\/strong>\uff1a\u63a2\u7d22\u5c06\u7c7b\u4f3c SMOTE \u7684\u6280\u672f\u96c6\u6210\u5230\u6df1\u5ea6\u5b66\u4e60\u67b6\u6784\u4e2d\u7684\u65b9\u6cd5\uff0c\u4ee5\u5904\u7406\u590d\u6742\u4efb\u52a1\u4e2d\u7684\u4e0d\u5e73\u8861\u6570\u636e\u3002<\/p>\n<\/li>\n

            2. \n

              \u81ea\u52a8\u673a\u5668\u5b66\u4e60\u96c6\u6210<\/strong>\uff1a\u5c06 SMOTE \u96c6\u6210\u5230\u81ea\u52a8\u673a\u5668\u5b66\u4e60 (AutoML) \u5de5\u5177\u4e2d\uff0c\u4ee5\u5b9e\u73b0\u5bf9\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u7684\u81ea\u52a8\u6570\u636e\u9884\u5904\u7406\u3002<\/p>\n<\/li>\n

            3. \n

              \u7279\u5b9a\u9886\u57df\u7684\u9002\u5e94<\/strong>\uff1a\u9488\u5bf9\u7279\u5b9a\u9886\u57df\uff08\u4f8b\u5982\u533b\u7597\u4fdd\u5065\u3001\u91d1\u878d\u6216\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff09\u5b9a\u5236 SMOTE \u53d8\u4f53\uff0c\u4ee5\u63d0\u9ad8\u4e13\u4e1a\u5e94\u7528\u4e2d\u7684\u6a21\u578b\u6027\u80fd\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u5982\u4f55\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u5982\u4f55\u5c06\u4ee3\u7406\u670d\u52a1\u5668\u4e0e SMOTE \u5173\u8054<\/h2>\n

              \u4ee3\u7406\u670d\u52a1\u5668\u5728\u589e\u5f3a SMOTE \u4e2d\u4f7f\u7528\u7684\u6570\u636e\u7684\u6027\u80fd\u548c\u9690\u79c1\u65b9\u9762\u53ef\u4ee5\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002\u4ee3\u7406\u670d\u52a1\u5668\u4e0e SMOTE \u5173\u8054\u7684\u4e00\u4e9b\u53ef\u80fd\u65b9\u5f0f\u5305\u62ec\uff1a<\/p>\n

                \n
              1. \n

                \u6570\u636e\u533f\u540d\u5316<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u5728\u5e94\u7528 SMOTE \u4e4b\u524d\u5bf9\u654f\u611f\u6570\u636e\u8fdb\u884c\u533f\u540d\u5316\uff0c\u786e\u4fdd\u751f\u6210\u7684\u5408\u6210\u5b9e\u4f8b\u4e0d\u4f1a\u6cc4\u9732\u79c1\u4eba\u4fe1\u606f\u3002<\/p>\n<\/li>\n

              2. \n

                \u5206\u5e03\u5f0f\u8ba1\u7b97<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u4ee5\u4fc3\u8fdb\u8de8\u591a\u4e2a\u4f4d\u7f6e\u7684 SMOTE \u5b9e\u73b0\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\uff0c\u4ece\u800c\u5b9e\u73b0\u5927\u89c4\u6a21\u6570\u636e\u96c6\u7684\u9ad8\u6548\u5904\u7406\u3002<\/p>\n<\/li>\n

              3. \n

                \u6570\u636e\u91c7\u96c6<\/strong>\uff1a\u4ee3\u7406\u670d\u52a1\u5668\u53ef\u7528\u4e8e\u4ece\u5404\u79cd\u6765\u6e90\u6536\u96c6\u5404\u79cd\u6570\u636e\uff0c\u6709\u52a9\u4e8e\u4e3a SMOTE \u521b\u5efa\u66f4\u5177\u4ee3\u8868\u6027\u7684\u6570\u636e\u96c6\u3002<\/p>\n<\/li>\n<\/ol>\n

                \u76f8\u5173\u94fe\u63a5<\/h2>\n

                \u6709\u5173SMOTE\u53ca\u76f8\u5173\u6280\u672f\u7684\u66f4\u591a\u4fe1\u606f\uff0c\u60a8\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n

                  \n
                1. \u539f\u88c5 SMOTE \u7eb8<\/a><\/li>\n
                2. ADASYN\uff1a\u7528\u4e8e\u4e0d\u5e73\u8861\u5b66\u4e60\u7684\u81ea\u9002\u5e94\u5408\u6210\u91c7\u6837\u65b9\u6cd5<\/a><\/li>\n
                3. SMOTEBoost\uff1a\u5728Boosting\u4e2d\u6539\u8fdb\u5c11\u6570\u7c7b\u7684\u9884\u6d4b<\/a><\/li>\n
                4. Borderline-SMOTE\uff1a\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u5b66\u4e60\u4e2d\u7684\u4e00\u79cd\u65b0\u7684\u8fc7\u91c7\u6837\u65b9\u6cd5<\/a><\/li>\n
                5. Safe-Level SMOTE\uff1a\u5904\u7406\u7c7b\u4e0d\u5e73\u8861\u95ee\u9898\u7684\u5b89\u5168\u7ea7\u5408\u6210\u5c11\u6570\u8fc7\u91c7\u6837\u6280\u672f<\/a><\/li>\n<\/ol>\n

                  \u603b\u4e4b\uff0cSMOTE \u662f\u673a\u5668\u5b66\u4e60\u5de5\u5177\u7bb1\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u5de5\u5177\uff0c\u53ef\u4ee5\u89e3\u51b3\u4e0d\u5e73\u8861\u6570\u636e\u96c6\u7684\u6311\u6218\u3002\u901a\u8fc7\u4e3a\u5c11\u6570\u7c7b\u751f\u6210\u5408\u6210\u5b9e\u4f8b\uff0cSMOTE \u589e\u5f3a\u4e86\u5206\u7c7b\u5668\u7684\u6027\u80fd\u5e76\u786e\u4fdd\u66f4\u597d\u7684\u6cdb\u5316\u3002\u5b83\u7684\u9002\u5e94\u6027\u3001\u6613\u4e8e\u5b9e\u65bd\u6027\u548c\u6709\u6548\u6027\u4f7f\u5176\u6210\u4e3a\u5404\u79cd\u5e94\u7528\u4e2d\u4e0d\u53ef\u6216\u7f3a\u7684\u6280\u672f\u3002\u968f\u7740\u7814\u7a76\u548c\u6280\u672f\u7684\u4e0d\u65ad\u8fdb\u6b65\uff0cSMOTE \u7684\u672a\u6765\u524d\u666f\u53ca\u5176\u5728\u673a\u5668\u5b66\u4e60\u8fdb\u6b65\u4e2d\u7684\u4f5c\u7528\u4ee4\u4eba\u5174\u594b\u3002<\/p>","protected":false},"featured_media":470514,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479036","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about SMOTE: Synthetic Minority Over-sampling Technique<\/mark>","faq_items":[{"question":"What is SMOTE?","answer":"

                  SMOTE stands for Synthetic Minority Over-sampling Technique. It is a data augmentation method used in machine learning to address imbalanced datasets. By generating synthetic samples of the minority class, SMOTE balances the class distribution and improves model performance.<\/p>"},{"question":"How was SMOTE developed?","answer":"

                  SMOTE was introduced in a seminal research paper titled \"SMOTE: Synthetic Minority Over-sampling Technique\" by Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer in 2002.<\/p>"},{"question":"How does SMOTE work?","answer":"

                  SMOTE works by creating synthetic instances of the minority class by interpolating between existing minority instances and their nearest neighbors. These synthetic samples help balance the class distribution and reduce bias in the model.<\/p>"},{"question":"What are the key features of SMOTE?","answer":"

                  The key features of SMOTE include data augmentation, bias reduction, generalizability, and easy implementation.<\/p>"},{"question":"What types of SMOTE variants are there?","answer":"

                  Several SMOTE variants exist, including Regular SMOTE, Borderline SMOTE, ADASYN, SMOTEBoost, and Safe-Level SMOTE. Each variant has its own specific approach and focus.<\/p>"},{"question":"How can I use SMOTE?","answer":"

                  SMOTE can be used in various ways, such as preprocessing, ensemble techniques, and one-class learning, to improve model performance on imbalanced datasets.<\/p>"},{"question":"What problems can arise when using SMOTE?","answer":"

                  Potential issues with SMOTE include overfitting, curse of dimensionality in high-dimensional spaces, and noise amplification. However, there are solutions and adaptations to address these problems.<\/p>"},{"question":"How does SMOTE compare to other data augmentation methods?","answer":"

                  SMOTE can be compared to ADASYN and Random Oversampling. Each method has its own characteristics, complexity, and performance.<\/p>"},{"question":"What is the future outlook for SMOTE in machine learning?","answer":"

                  The future of SMOTE looks promising, with potential advancements in deep learning extensions, AutoML integration, and domain-specific adaptations.<\/p>"},{"question":"How can proxy servers be associated with SMOTE?","answer":"

                  Proxy servers can play a role in anonymizing data, facilitating distributed computing, and collecting diverse data for SMOTE applications. They can enhance the privacy and performance of SMOTE implementations.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/479036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/479036\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/470514"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=479036"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}