{"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\/jp\/wiki\/smote\/","title":{"rendered":"\u30ea\u30e2\u30fc\u30c8"},"content":{"rendered":"

SMOTE \u306f Synthetic Minority Over-sampling Technique \u306e\u7565\u3067\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u6a5f\u68b0\u5b66\u7fd2\u3067\u4f7f\u7528\u3055\u308c\u308b\u5f37\u529b\u306a\u30c7\u30fc\u30bf\u62e1\u5f35\u65b9\u6cd5\u3067\u3059\u3002\u591a\u304f\u306e\u73fe\u5b9f\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u4e0d\u5747\u8861\u306a\u30af\u30e9\u30b9\u5206\u5e03\u304c\u542b\u307e\u308c\u308b\u3053\u3068\u304c\u591a\u304f\u30011 \u3064\u306e\u30af\u30e9\u30b9 (\u5c11\u6570\u30af\u30e9\u30b9) \u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u6570\u304c\u4ed6\u306e\u30af\u30e9\u30b9 (\u591a\u6570\u30af\u30e9\u30b9) \u306b\u6bd4\u3079\u3066\u5927\u5e45\u306b\u5c11\u306a\u304f\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u4e0d\u5747\u8861\u306b\u3088\u308a\u3001\u5c11\u6570\u30af\u30e9\u30b9\u306e\u8a8d\u8b58\u304c\u3046\u307e\u304f\u3044\u304b\u306a\u3044\u504f\u3063\u305f\u30e2\u30c7\u30eb\u304c\u751f\u6210\u3055\u308c\u3001\u4e88\u6e2c\u304c\u6700\u9069\u3067\u306f\u306a\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

SMOTE \u306f\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u5408\u6210\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3067\u3053\u306e\u554f\u984c\u306b\u53d6\u308a\u7d44\u3080\u305f\u3081\u306b\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30af\u30e9\u30b9\u5206\u5e03\u306e\u30d0\u30e9\u30f3\u30b9\u304c\u3068\u308c\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u304b\u3089\u5b66\u7fd2\u3059\u308b\u30e2\u30c7\u30eb\u306e\u80fd\u529b\u304c\u5f37\u5316\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u6280\u8853\u306f\u3001\u533b\u7642\u8a3a\u65ad\u3001\u4e0d\u6b63\u884c\u70ba\u691c\u51fa\u3001\u753b\u50cf\u5206\u985e\u306a\u3069\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u8513\u5ef6\u3059\u308b\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u6570\u591a\u304f\u306e\u7528\u9014\u304c\u898b\u51fa\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

SMOTE \u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2<\/h2>\n

SMOTE \u306f\u30012002 \u5e74\u306b\u767a\u8868\u3055\u308c\u305f\u300cSMOTE: Synthetic Minority Over-sampling Technique\u300d\u3068\u3044\u3046\u30bf\u30a4\u30c8\u30eb\u306e\u72ec\u5275\u7684\u306a\u8ad6\u6587\u3067\u3001Nitesh V. Chawla\u3001Kevin W. Bowyer\u3001Lawrence O. Hall\u3001W. Philip Kegelmeyer \u306b\u3088\u3063\u3066\u63d0\u6848\u3055\u308c\u307e\u3057\u305f\u3002\u8457\u8005\u3089\u306f\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3088\u3063\u3066\u3082\u305f\u3089\u3055\u308c\u308b\u8ab2\u984c\u3092\u8a8d\u8b58\u3057\u3001\u305d\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3088\u3063\u3066\u5f15\u304d\u8d77\u3053\u3055\u308c\u308b\u504f\u308a\u3092\u8efd\u6e1b\u3059\u308b\u9769\u65b0\u7684\u306a\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3068\u3057\u3066 SMOTE \u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002<\/p>\n

Chawla\u3089\u306b\u3088\u308b\u7814\u7a76\u3002 SMOTE \u306f\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u969b\u306e\u5206\u985e\u5668\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5927\u5e45\u306b\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u3092\u5b9f\u8a3c\u3057\u307e\u3057\u305f\u3002\u305d\u308c\u4ee5\u6765\u3001SMOTE \u306f\u4eba\u6c17\u3092\u535a\u3057\u3001\u6a5f\u68b0\u5b66\u7fd2\u5206\u91ce\u306e\u57fa\u672c\u7684\u306a\u6280\u8853\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

SMOTE\u306e\u8a73\u7d30\u60c5\u5831<\/h2>\n

SMOTE \u306e\u5185\u90e8\u69cb\u9020 \u2013 SMOTE \u306e\u4ed5\u7d44\u307f<\/h3>\n

SMOTE \u306f\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u65e2\u5b58\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u88dc\u9593\u3057\u3066\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u5408\u6210\u30b5\u30f3\u30d7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3067\u6a5f\u80fd\u3057\u307e\u3059\u3002SMOTE \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4e3b\u306a\u624b\u9806\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

    \n
  1. \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u8b58\u5225\u3057\u307e\u3059\u3002<\/li>\n
  2. \u5404\u5c11\u6570\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u3064\u3044\u3066\u3001\u5c11\u6570\u30af\u30e9\u30b9\u5185\u306e k \u500b\u306e\u6700\u3082\u8fd1\u3044\u8fd1\u508d\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002<\/li>\n
  3. k \u500b\u306e\u6700\u8fd1\u508d\u306e\u3046\u3061\u306e 1 \u3064\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3057\u307e\u3059\u3002<\/li>\n
  4. \u9078\u629e\u3057\u305f\u8fd1\u508d\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3068\u5143\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u7dda\u5f62\u7d50\u5408\u3092\u53d6\u5f97\u3057\u3066\u3001\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n

    SMOTE \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u6b21\u306e\u65b9\u7a0b\u5f0f\u3067\u8981\u7d04\u3067\u304d\u307e\u3059\u3002\u3053\u3053\u3067\u3001x_i \u306f\u5143\u306e\u5c11\u6570\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u8868\u3057\u3001x_n \u306f\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3055\u308c\u305f\u8fd1\u508d\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3001\u03b1 \u306f 0 \u304b\u3089 1 \u307e\u3067\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u5024\u3067\u3059\u3002<\/p>\n

    \u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9 = x_i + \u03b1 * (x_n \u2013 x_i)<\/p>\n

    SMOTE \u3092\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u7e70\u308a\u8fd4\u3057\u9069\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u30af\u30e9\u30b9\u306e\u5206\u5e03\u304c\u518d\u30d0\u30e9\u30f3\u30b9\u3055\u308c\u3001\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306e\u3088\u308a\u4ee3\u8868\u7684\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n

    SMOTE \u306e\u4e3b\u306a\u6a5f\u80fd\u306e\u5206\u6790<\/h2>\n

    SMOTE \u306e\u4e3b\u306a\u6a5f\u80fd\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

      \n
    1. \n

      \u30c7\u30fc\u30bf\u62e1\u5f35<\/strong>: SMOTE \u306f\u3001\u5408\u6210\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3067\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u3092\u5f37\u5316\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u30af\u30e9\u30b9\u306e\u4e0d\u5747\u8861\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    2. \n

      \u30d0\u30a4\u30a2\u30b9\u306e\u4f4e\u6e1b<\/strong>: SMOTE \u306f\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u6570\u3092\u5897\u3084\u3059\u3053\u3068\u3067\u5206\u985e\u5668\u306e\u504f\u308a\u3092\u6e1b\u3089\u3057\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u4e88\u6e2c\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u5411\u4e0a\u306b\u3064\u306a\u304c\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

    3. \n

      \u4e00\u822c\u5316\u53ef\u80fd\u6027<\/strong>SMOTE \u306f\u3055\u307e\u3056\u307e\u306a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u9069\u7528\u3067\u304d\u3001\u7279\u5b9a\u306e\u30e2\u30c7\u30eb\u30bf\u30a4\u30d7\u306b\u9650\u5b9a\u3055\u308c\u307e\u305b\u3093\u3002<\/p>\n<\/li>\n

    4. \n

      \u7c21\u5358\u306a\u5b9f\u88c5<\/strong>: SMOTE \u306f\u5b9f\u88c5\u304c\u7c21\u5358\u3067\u3001\u65e2\u5b58\u306e\u6a5f\u68b0\u5b66\u7fd2\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306b\u30b7\u30fc\u30e0\u30ec\u30b9\u306b\u7d71\u5408\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

      SMOTE\u306e\u7a2e\u985e<\/h2>\n

      SMOTE \u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30bf\u30a4\u30d7\u306e\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u5fdc\u3059\u308b\u305f\u3081\u306e\u3044\u304f\u3064\u304b\u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3068\u9069\u5fdc\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b SMOTE \u306e\u30bf\u30a4\u30d7\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

        \n
      1. \n

        \u901a\u5e38\u306eSMOTE<\/strong>: \u3053\u308c\u306f\u3001\u4e0a\u8a18\u3067\u8aac\u660e\u3057\u305f SMOTE \u306e\u6a19\u6e96\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u3042\u308a\u3001\u5c11\u6570\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3068\u305d\u306e\u96a3\u63a5\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u63a5\u7d9a\u3059\u308b\u7dda\u306b\u6cbf\u3063\u3066\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

      2. \n

        \u5883\u754c\u7dda\u306eSMOTE<\/strong>: \u3053\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u306f\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u3068\u591a\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u9593\u306e\u5883\u754c\u7dda\u4ed8\u8fd1\u3067\u5408\u6210\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u304a\u308a\u3001\u91cd\u8907\u3059\u308b\u30af\u30e9\u30b9\u3092\u6301\u3064\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u3066\u3088\u308a\u52b9\u679c\u7684\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

      3. \n

        ADASYN (\u9069\u5fdc\u5408\u6210\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0)<\/strong>ADASYN \u306f\u3001\u5b66\u7fd2\u304c\u96e3\u3057\u3044\u5c11\u6570\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u9ad8\u3044\u91cd\u8981\u5ea6\u3092\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u3067 SMOTE \u3092\u6539\u826f\u3057\u3001\u4e00\u822c\u5316\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n

      4. \n

        \u30b9\u30e2\u30fc\u30c8\u30d6\u30fc\u30b9\u30c8<\/strong>: SMOTEBoost \u306f\u3001SMOTE \u3068\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3059\u308b\u5206\u985e\u5668\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u3055\u3089\u306b\u5f37\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

      5. \n

        \u5b89\u5168\u30ec\u30d9\u30eb\u306eSMOTE<\/strong>: \u3053\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u306f\u3001\u5404\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u5b89\u5168\u30ec\u30d9\u30eb\u306b\u57fa\u3065\u3044\u3066\u751f\u6210\u3055\u308c\u308b\u5408\u6210\u30b5\u30f3\u30d7\u30eb\u306e\u6570\u3092\u5236\u5fa1\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u904e\u5270\u9069\u5408\u306e\u30ea\u30b9\u30af\u3092\u8efd\u6e1b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u4ee5\u4e0b\u306f\u3001\u3053\u308c\u3089\u306e SMOTE \u30d0\u30ea\u30a2\u30f3\u30c8\u306e\u9055\u3044\u3092\u307e\u3068\u3081\u305f\u6bd4\u8f03\u8868\u3067\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
        SMOTE \u306e\u30d0\u30ea\u30a2\u30f3\u30c8<\/th>\n\u30a2\u30d7\u30ed\u30fc\u30c1<\/th>\n\u96c6\u4e2d<\/th>\n\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u5236\u5fa1<\/th>\n<\/tr>\n<\/thead>\n
        \u901a\u5e38\u306eSMOTE<\/td>\n\u7dda\u5f62\u88dc\u9593<\/td>\n\u8a72\u5f53\u306a\u3057<\/td>\n\u3044\u3044\u3048<\/td>\n<\/tr>\n
        \u5883\u754c\u7dda\u306eSMOTE<\/td>\n\u975e\u7dda\u5f62\u88dc\u9593<\/td>\n\u30af\u30e9\u30b9\u306e\u5883\u754c\u4ed8\u8fd1<\/td>\n\u3044\u3044\u3048<\/td>\n<\/tr>\n
        \u30a2\u30c0\u30b7\u30f3<\/td>\n\u52a0\u91cd\u88dc\u9593<\/td>\n\u5b66\u3076\u306e\u304c\u96e3\u3057\u3044\u5c11\u6570\u6d3e\u306e\u30b1\u30fc\u30b9<\/td>\n\u3044\u3044\u3048<\/td>\n<\/tr>\n
        \u30b9\u30e2\u30fc\u30c8\u30d6\u30fc\u30b9\u30c8<\/td>\n\u30d6\u30fc\u30b9\u30c8 + SMOTE<\/td>\n\u8a72\u5f53\u306a\u3057<\/td>\n\u306f\u3044<\/td>\n<\/tr>\n
        \u5b89\u5168\u30ec\u30d9\u30eb\u306eSMOTE<\/td>\n\u7dda\u5f62\u88dc\u9593<\/td>\n\u5b89\u5168\u30ec\u30d9\u30eb\u306b\u57fa\u3065\u304f<\/td>\n\u306f\u3044<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        SMOTE\u306e\u4f7f\u3044\u65b9\u3001\u4f7f\u7528\u4e0a\u306e\u554f\u984c\u70b9\u3068\u305d\u306e\u89e3\u6c7a\u7b56<\/h2>\n

        SMOTE\u306e\u4f7f\u3044\u65b9<\/h3>\n

        SMOTE \u306f\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u3067\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n

          \n
        1. \n

          \u524d\u51e6\u7406<\/strong>: \u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u524d\u306b SMOTE \u3092\u9069\u7528\u3057\u3066\u30af\u30e9\u30b9\u5206\u5e03\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u3068\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

        2. \n

          \u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u306e\u30c6\u30af\u30cb\u30c3\u30af<\/strong>: \u3088\u308a\u826f\u3044\u7d50\u679c\u3092\u5f97\u308b\u306b\u306f\u3001SMOTE \u3092\u30e9\u30f3\u30c0\u30e0 \u30d5\u30a9\u30ec\u30b9\u30c8\u3084\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u306a\u3069\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u624b\u6cd5\u3068\u7d44\u307f\u5408\u308f\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n

        3. \n

          \u30ef\u30f3\u30af\u30e9\u30b9\u5b66\u7fd2<\/strong>: SMOTE \u3092\u4f7f\u7528\u3057\u3066\u3001\u6559\u5e2b\u306a\u3057\u5b66\u7fd2\u30bf\u30b9\u30af\u306e 1 \u30af\u30e9\u30b9 \u30c7\u30fc\u30bf\u3092\u5f37\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u554f\u984c\u3068\u89e3\u6c7a\u7b56<\/h3>\n

          SMOTE \u306f\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3059\u304c\u3001\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u304c\u306a\u3044\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n

            \n
          1. \n

            \u904e\u5b66\u7fd2<\/strong>: \u751f\u6210\u3059\u308b\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u304c\u591a\u3059\u304e\u308b\u3068\u904e\u5270\u9069\u5408\u304c\u767a\u751f\u3057\u3001\u76ee\u306b\u898b\u3048\u306a\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u4f4e\u4e0b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u5b89\u5168\u30ec\u30d9\u30eb\u306e SMOTE \u307e\u305f\u306f ADASYN \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u306e\u5236\u5fa1\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n

          2. \n

            \u6b21\u5143\u306e\u546a\u3044<\/strong>: SMOTE \u306e\u6709\u52b9\u6027\u306f\u3001\u30c7\u30fc\u30bf\u304c\u307e\u3070\u3089\u3067\u3042\u308b\u305f\u3081\u3001\u9ad8\u6b21\u5143\u7279\u5fb4\u7a7a\u9593\u3067\u306f\u4f4e\u4e0b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u306b\u306f\u3001\u7279\u5fb4\u9078\u629e\u307e\u305f\u306f\u6b21\u5143\u524a\u6e1b\u6280\u8853\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

          3. \n

            \u30ce\u30a4\u30ba\u5897\u5e45<\/strong>: \u5143\u306e\u30c7\u30fc\u30bf\u306b\u5916\u308c\u5024\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u5834\u5408\u3001SMOTE \u306f\u30ce\u30a4\u30ba\u306e\u591a\u3044\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u751f\u6210\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u7570\u5e38\u5024\u3092\u9664\u53bb\u3059\u308b\u6280\u8853\u3084 SMOTE \u5b9f\u88c5\u3092\u4fee\u6b63\u3059\u308b\u3068\u3001\u3053\u306e\u554f\u984c\u3092\u8efd\u6e1b\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u4e3b\u306a\u7279\u5fb4\u3068\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03<\/h2>\n\n\n\n\n\n\n\n\n\n\n
            \u7279\u5fb4<\/th>\n\u30ea\u30e2\u30fc\u30c8<\/th>\n\u30a2\u30c0\u30b7\u30f3<\/th>\n\u30e9\u30f3\u30c0\u30e0\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0<\/th>\n<\/tr>\n<\/thead>\n
            \u30bf\u30a4\u30d7<\/td>\n\u30c7\u30fc\u30bf\u62e1\u5f35<\/td>\n\u30c7\u30fc\u30bf\u62e1\u5f35<\/td>\n\u30c7\u30fc\u30bf\u62e1\u5f35<\/td>\n<\/tr>\n
            \u5408\u6210\u30b5\u30f3\u30d7\u30eb\u30bd\u30fc\u30b9<\/td>\n\u6700\u3082\u8fd1\u3044\u96a3\u4eba<\/td>\n\u985e\u4f3c\u6027\u306b\u57fa\u3065\u304f<\/td>\n\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u8907\u88fd<\/td>\n<\/tr>\n
            \u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u5236\u5fa1<\/td>\n\u3044\u3044\u3048<\/td>\n\u306f\u3044<\/td>\n\u3044\u3044\u3048<\/td>\n<\/tr>\n
            \u30ce\u30a4\u30ba\u306e\u591a\u3044\u30c7\u30fc\u30bf\u306e\u51e6\u7406<\/td>\n\u306f\u3044<\/td>\n\u306f\u3044<\/td>\n\u3044\u3044\u3048<\/td>\n<\/tr>\n
            \u8907\u96d1<\/td>\n\u4f4e\u3044<\/td>\n\u9069\u5ea6<\/td>\n\u4f4e\u3044<\/td>\n<\/tr>\n
            \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9<\/td>\n\u826f\u3044<\/td>\n\u3088\u308a\u826f\u3044<\/td>\n\u4e0d\u5b9a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            SMOTE\u306b\u95a2\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u6280\u8853<\/h2>\n

            SMOTE \u3068\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u51e6\u7406\u306e\u5c06\u6765\u306f\u6709\u671b\u3067\u3059\u3002\u7814\u7a76\u8005\u3084\u5c02\u9580\u5bb6\u306f\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3088\u3063\u3066\u3082\u305f\u3089\u3055\u308c\u308b\u8ab2\u984c\u306b\u3001\u3088\u308a\u52b9\u679c\u7684\u306b\u5bfe\u51e6\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3001\u65e2\u5b58\u306e\u6280\u8853\u306e\u958b\u767a\u3068\u6539\u826f\u3092\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002\u5c06\u6765\u306e\u53ef\u80fd\u6027\u306e\u3042\u308b\u65b9\u5411\u6027\u3068\u3057\u3066\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

              \n
            1. \n

              \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u62e1\u5f35\u6a5f\u80fd<\/strong>: \u8907\u96d1\u306a\u30bf\u30b9\u30af\u3067\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u3001SMOTE \u306e\u3088\u3046\u306a\u6280\u8853\u3092\u6df1\u5c64\u5b66\u7fd2\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u7d71\u5408\u3059\u308b\u65b9\u6cd5\u3092\u6a21\u7d22\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n

            2. \n

              AutoML\u7d71\u5408<\/strong>: SMOTE \u3092\u81ea\u52d5\u6a5f\u68b0\u5b66\u7fd2 (AutoML) \u30c4\u30fc\u30eb\u306b\u7d71\u5408\u3057\u3066\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u81ea\u52d5\u30c7\u30fc\u30bf\u524d\u51e6\u7406\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

            3. \n

              \u30c9\u30e1\u30a4\u30f3\u56fa\u6709\u306e\u9069\u5fdc<\/strong>: \u30d8\u30eb\u30b9\u30b1\u30a2\u3001\u91d1\u878d\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306a\u3069\u306e\u7279\u5b9a\u306e\u30c9\u30e1\u30a4\u30f3\u306b\u5408\u308f\u305b\u3066 SMOTE \u30d0\u30ea\u30a2\u30f3\u30c8\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3057\u3001\u7279\u6b8a\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306e\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u4f7f\u7528\u65b9\u6cd5\u307e\u305f\u306f SMOTE \u3068\u306e\u95a2\u9023\u4ed8\u3051\u65b9\u6cd5<\/h2>\n

              \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001SMOTE \u3067\u4f7f\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u5f37\u5316\u3059\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092 SMOTE \u306b\u95a2\u9023\u4ed8\u3051\u308b\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u65b9\u6cd5\u304c\u8003\u3048\u3089\u308c\u307e\u3059\u3002<\/p>\n

                \n
              1. \n

                \u30c7\u30fc\u30bf\u306e\u533f\u540d\u5316<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001SMOTE \u3092\u9069\u7528\u3059\u308b\u524d\u306b\u6a5f\u5bc6\u30c7\u30fc\u30bf\u3092\u533f\u540d\u5316\u3067\u304d\u308b\u305f\u3081\u3001\u751f\u6210\u3055\u308c\u305f\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3067\u500b\u4eba\u60c5\u5831\u304c\u6f0f\u6d29\u3059\u308b\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<\/li>\n

              2. \n

                \u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u8907\u6570\u306e\u5834\u6240\u306b\u308f\u305f\u308b SMOTE \u5b9f\u88c5\u306e\u5206\u6563\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u4fc3\u9032\u3057\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u52b9\u7387\u7684\u306a\u51e6\u7406\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

              3. \n

                \u30c7\u30fc\u30bf\u53ce\u96c6<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u3055\u307e\u3056\u307e\u306a\u30bd\u30fc\u30b9\u304b\u3089\u3055\u307e\u3056\u307e\u306a\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3067\u304d\u3001SMOTE \u306e\u3088\u308a\u4ee3\u8868\u7684\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210\u306b\u8ca2\u732e\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

                \u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n

                SMOTE \u304a\u3088\u3073\u95a2\u9023\u6280\u8853\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

                  \n
                1. \u30aa\u30ea\u30b8\u30ca\u30ebSMOTE\u30da\u30fc\u30d1\u30fc<\/a><\/li>\n
                2. ADASYN: \u4e0d\u5747\u8861\u5b66\u7fd2\u306e\u305f\u3081\u306e\u9069\u5fdc\u5408\u6210\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u30a2\u30d7\u30ed\u30fc\u30c1<\/a><\/li>\n
                3. SMOTEBoost: \u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u4e88\u6e2c\u306e\u6539\u5584<\/a><\/li>\n
                4. \u30dc\u30fc\u30c0\u30fc\u30e9\u30a4\u30f3-SMOTE: \u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5b66\u7fd2\u306b\u304a\u3051\u308b\u65b0\u3057\u3044\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u624b\u6cd5<\/a><\/li>\n
                5. \u5b89\u5168\u30ec\u30d9\u30eb SMOTE: \u30af\u30e9\u30b9\u4e0d\u5747\u8861\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306e\u5b89\u5168\u30ec\u30d9\u30eb\u5408\u6210\u5c11\u6570\u6d3e\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u624b\u6cd5<\/a><\/li>\n<\/ol>\n

                  \u7d50\u8ad6\u3068\u3057\u3066\u3001SMOTE \u306f\u3001\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u30c4\u30fc\u30eb\u30dc\u30c3\u30af\u30b9\u306e\u91cd\u8981\u306a\u30c4\u30fc\u30eb\u3067\u3059\u3002 SMOTE \u306f\u3001\u5c11\u6570\u6d3e\u30af\u30e9\u30b9\u306e\u5408\u6210\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u5206\u985e\u5b50\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5f37\u5316\u3057\u3001\u3088\u308a\u512a\u308c\u305f\u4e00\u822c\u5316\u3092\u4fdd\u8a3c\u3057\u307e\u3059\u3002\u305d\u306e\u9069\u5fdc\u6027\u3001\u5b9f\u88c5\u306e\u5bb9\u6613\u3055\u3001\u6709\u52b9\u6027\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u4e0d\u53ef\u6b20\u306a\u6280\u8853\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u73fe\u5728\u9032\u884c\u4e2d\u306e\u7814\u7a76\u3068\u6280\u8853\u306e\u9032\u6b69\u306b\u3088\u308a\u3001\u5c06\u6765\u7684\u306b\u306f SMOTE \u3068\u6a5f\u68b0\u5b66\u7fd2\u306e\u9032\u6b69\u306b\u304a\u3051\u308b SMOTE \u306e\u5f79\u5272\u306b\u523a\u6fc0\u7684\u306a\u5c55\u671b\u304c\u5e83\u304c\u3063\u3066\u3044\u307e\u3059\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\/jp\/wp-json\/wp\/v2\/wiki\/479036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/479036\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/470514"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=479036"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}