{"id":50811,"date":"2022-08-09T00:00:00","date_gmt":"2022-08-09T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/adaboost-bagging-stacking-and-voting-in-java-and-griddb\/"},"modified":"2025-11-14T07:55:33","modified_gmt":"2025-11-14T15:55:33","slug":"adaboost-bagging-stacking-and-voting-in-java-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/adaboost-bagging-stacking-and-voting-in-java-and-griddb\/","title":{"rendered":"Java\u3068GridDB\u306b\u3088\u308bAdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001\u304a\u3088\u3073Voting\u306e\u5b9f\u88c5"},"content":{"rendered":"

AdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001Voting\u306f\u3059\u3079\u3066\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3067\u3059\u3002\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u7a2e\u3067\u3001\u4e00\u822c\u306b\u300c\u5f31\u3044\u5b66\u7fd2\u5668\u300d\u3084\u300c\u30d9\u30fc\u30b9\u30e2\u30c7\u30eb\u300d\u3068\u547c\u3070\u308c\u308b\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u7279\u5b9a\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u5b66\u7fd2\u3055\u305b\u3001\u3088\u308a\u826f\u3044\u7d50\u679c\u3092\u5f97\u308b\u305f\u3081\u306b\u7d44\u307f\u5408\u308f\u305b\u308b\u3082\u306e\u3067\u3059\u3002\u5f31\u3044\u30e2\u30c7\u30eb\u3092\u6b63\u3057\u304f\u7d44\u307f\u5408\u308f\u305b\u308b\u3068\u3001\u3088\u308a\u6b63\u78ba\u3067\u9811\u5065\u306a\u30e2\u30c7\u30eb\u304c\u5f97\u3089\u308c\u308b\u3068\u3044\u3046\u4eee\u8aac\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306e\u5168\u6587\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002https:\/\/github.com\/griddbnet\/Blogs\/tree\/adaboost-bagging<\/a><\/p>\n

\u305d\u308c\u3067\u306f\u3001\u4eca\u56de\u4f7f\u7528\u3059\u308b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

1. \u30d0\u30ae\u30f3\u30b0<\/strong><\/p>\n

\u30d0\u30ae\u30f3\u30b0\u306f “Boostrap Aggregation “\u306e\u7565\u3067\u3059\u3002\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u3068\u306f\u3001\u7279\u5b9a\u306e\u5b66\u7fd2\u30bb\u30c3\u30c8\u304b\u3089\u3001\u7f6e\u63db\u3092\u7528\u3044\u3066\u7570\u306a\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3059\u308b\u624b\u6cd5\u306b\u306a\u308a\u307e\u3059\u3002\u30d0\u30ae\u30f3\u30b0\u306f\u30011\u3064\u306e\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u7570\u306a\u308b\u30b5\u30d6\u30bb\u30c3\u30c8\u306b\u9069\u7528\u3057\u3001\u30b5\u30d6\u30bb\u30c3\u30c8\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u7f6e\u63db\uff08\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\uff09\u3092\u7528\u3044\u3066\u884c\u3046\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3067\u3059\u3002<\/p>\n

\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3059\u3079\u3066\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u5b66\u7fd2\u3055\u308c\u305f\u5f8c\u3001\u30d0\u30ae\u30f3\u30b0\u3067\u306f\u3001\u7570\u306a\u308b\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u884c\u3063\u305f\u4e88\u6e2c\u3092\u96c6\u7d04\u3059\u308b\u3053\u3068\u3067\u4e88\u6e2c\u3092\u884c\u3044\u307e\u3059\u3002\u30d9\u30fc\u30b9\u5b66\u7fd2\u5668\u306e\u51fa\u529b\u3092\u96c6\u7d04\u3059\u308b\u305f\u3081\u306b\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5206\u985e\u306b\u306f\u591a\u6570\u6c7a\u3092\u3001\u56de\u5e30\u554f\u984c\u306b\u306f\u5e73\u5747\u5316\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n

2. AdaBoost<\/strong><\/p>\n

AdaBoost\u306f\u5f31\u3044\u5b66\u7fd2\u5668\u3092\u5f37\u3044\u5b66\u7fd2\u5668\u306b\u5909\u63db\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u7fa4\u3067\u3059\u3002\u3053\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u624b\u6cd5\u306f\u3001\u3042\u3089\u3086\u308b\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30e2\u30c7\u30eb\u4e88\u6e2c\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002AdaBoost\u3067\u306f\u3001\u5f31\u3044\u5b66\u7fd2\u5668\u3092\u9806\u6b21\u5b66\u7fd2\u3055\u305b\u3001\u5404\u5b66\u7fd2\u5668\u304c\u4ee5\u524d\u306e\u5b66\u7fd2\u5668\u3092\u4fee\u6b63\u3057\u3088\u3046\u3068\u3057\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u5f31\u3044\u5b66\u7fd2\u5668\u306f\u524d\u306e\u5b66\u7fd2\u5668\u306b\u3088\u3063\u3066\u4fee\u6b63\u3055\u308c\u3001\u5f37\u3044\u5b66\u7fd2\u5668\u3078\u3068\u5909\u63db\u3055\u308c\u307e\u3059\u3002\u88dc\u6b63\u306f\u30d0\u30a4\u30a2\u30b9\u3092\u6e1b\u3089\u3059\u3053\u3068\u3067\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n

3. \u30b9\u30bf\u30c3\u30ad\u30f3\u30b0<\/strong><\/p>\n

\u3053\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u6cd5\u306f\u3001\u591a\u304f\u306e\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u30e1\u30bf\u5b66\u7fd2<\/em>\u306b\u3088\u3063\u3066\u7d44\u307f\u5408\u308f\u305b\u308b\u3082\u306e\u3067\u3059\u3002\u30d9\u30fc\u30b9\u30ec\u30d9\u30eb\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u5b8c\u5168\u306a\u5b66\u7fd2\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u5b66\u7fd2\u3055\u308c\u3001\u30e1\u30bf\u30e2\u30c7\u30eb\u306f\u3059\u3079\u3066\u306e\u30d9\u30fc\u30b9\u30ec\u30d9\u30eb\u306e\u30e2\u30c7\u30eb\u306e\u7d50\u679c\u3092\u7279\u5fb4\u3068\u3057\u3066\u5b66\u7fd2\u3055\u308c\u307e\u3059\u3002\u3042\u307e\u308a\u826f\u304f\u306a\u3044\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3092\u3088\u308a\u826f\u3044\u30e2\u30c7\u30eb\u306e\u5165\u529b\u3068\u3057\u3066\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u4e88\u6e2c\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u4eca\u56de\u306f\u3001\u3053\u308c\u3089\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3092\u3001Java\u3068GridDB\u3092\u7528\u3044\u3066\u5b9f\u88c5\u3057\u307e\u3059\u3002<\/p>\n

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3064\u3044\u3066<\/h2>\n

\u3053\u306e\u8a18\u4e8b\u3067\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306f\u3001\u69d8\u3005\u306a\u6c17\u8c61\u6761\u4ef6\u3068\u3001\u500b\u4eba\u304c\u904a\u3076\u3053\u3068\u304c\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u3001outlook (\u898b\u901a\u3057), temperature (\u6c17\u6e29), humidity (\u6e7f\u5ea6), windy (\u98a8), play (\u904a\u3073) \u306e5\u3064\u306e\u5c5e\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u6700\u521d\u306e4\u3064\u306e\u5c5e\u6027\u304c\u72ec\u7acb\u5909\u6570\u3067\u3001\u6700\u5f8c\u306e\u5c5e\u6027\u304c\u5f93\u5c5e\u5909\u6570\u3067\u3059\u3002\u30c7\u30fc\u30bf\u306f weather.csv<\/code> \u3068\u3044\u3046\u540d\u524d\u306e CSV \u30d5\u30a1\u30a4\u30eb\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

GridDB\u306b\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b<\/h2>\n

GridDB\u306f\u3001CSV\u30d5\u30a1\u30a4\u30eb\u3068\u6bd4\u8f03\u3057\u3066\u69d8\u3005\u306a\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u30af\u30a8\u30ea\u30fc\u306f\u3088\u308a\u9ad8\u901f\u306a\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001CSV\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u79fb\u884c\u3057\u3001GridDB\u306b\u683c\u7d0d\u3059\u308b\u3053\u3068\u306f\u826f\u3044\u3053\u3068\u3060\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u307e\u305a\u3001Java\u306e\u30b3\u30fc\u30c9\u3067\u3053\u308c\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n

\n
import java.io.File;\nimport java.util.Scanner;\nimport java.io.IOException;\nimport java.util.Collection;\nimport java.util.Properties;\n\nimport com.toshiba.mwcloud.gs.Query;\nimport com.toshiba.mwcloud.gs.RowKey;\nimport com.toshiba.mwcloud.gs.RowSet;\nimport com.toshiba.mwcloud.gs.GridStore;\nimport com.toshiba.mwcloud.gs.Collection;\nimport com.toshiba.mwcloud.gs.GSException;\nimport com.toshiba.mwcloud.gs.GridStoreFactory;<\/code><\/pre>\n<\/div>\n
GridDB\u306f\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306e\u683c\u7d0d\u306b\u4f7f\u7528\u3059\u308bGridDB\u30b3\u30f3\u30c6\u30ca\u3092\u8868\u3059\u9759\u7684\u306aJava\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002\u540d\u524d\u306f Weather<\/code> \u3068\u3057\u307e\u3059\u3002<\/p>\n
\n
public static class Weather {\n     @RowKey String outlook;\n     String temperature; \n     String humidity;\n     String windy;\n     String play;\n}  <\/code><\/pre>\n<\/div>\n
\u4e0a\u8a18\u306e\u5404\u5909\u6570\u306f\u3001GridDB \u30b3\u30f3\u30c6\u30ca\u5185\u306e\u30ab\u30e9\u30e0\u3092\u8868\u3057\u307e\u3059\u3002SQL \u306e\u30c6\u30fc\u30d6\u30eb\u3068\u540c\u69d8\u3067\u3059\u3002<\/p>\n
\u6b21\u306b\u3001Java\u304b\u3089GridDB\u306b\u63a5\u7d9a\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u6210\u529f\u3055\u305b\u308b\u305f\u3081\u306b\u306f\u3001\u8a8d\u8a3c\u306a\u3069\u306e\u60c5\u5831\u3092\u63d0\u4f9b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u304c\u305d\u306e\u4f8b\u3067\u3059\u3002<\/p>\n
\n
Properties props = new Properties();\nprops.setProperty(\"notificationAddress\", \"239.0.0.1\");\nprops.setProperty(\"notificationPort\", \"31999\");\nprops.setProperty(\"clusterName\", \"defaultCluster\");\nprops.setProperty(\"user\", \"admin\");\nprops.setProperty(\"password\", \"admin\");\nGridStore store = GridStoreFactory.getInstance().getGridStore(props);<\/code><\/pre>\n<\/div>\n
\u30af\u30e9\u30b9\u30bf\u540d\u3001GriDB\u306b\u63a5\u7d9a\u3059\u308b\u30e6\u30fc\u30b6\u30fc\u306e\u30e6\u30fc\u30b6\u30fc\u540d\u3068\u30d1\u30b9\u30ef\u30fc\u30c9\u304c\u6307\u5b9a\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u5206\u304b\u308a\u307e\u3059\u3002\u63a5\u7d9a\u304c\u78ba\u7acb\u3055\u308c\u305f\u306e\u3067\u3001\u4f5c\u696d\u3059\u308b\u30b3\u30f3\u30c6\u30ca\u3092\u9078\u629e\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
Collection<String, Weather> coll = store.putCollection(\"col01\", Weather.class);<\/code><\/pre>\n<\/div>\n
\u3053\u3053\u3067\u306f\u3001\u30b3\u30f3\u30c6\u30ca\u3092\u53c2\u7167\u3059\u308b\u305f\u3081\u306b coll<\/code> \u3068\u3044\u3046\u540d\u524d\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\u305d\u308c\u3067\u306f\u3001CSV\u30d5\u30a1\u30a4\u30eb\u304b\u3089GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3093\u3067\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
File file1 = new File(\"weather.csv\");\nScanner sc = new Scanner(file1);\nString data = sc.next();\n\nwhile (sc.hasNext()){\n    String scData = sc.next();\n    String dataList[] = scData.split(\",\");\n    String outlook = dataList[0];\n    String temperature = dataList[1];\n    String humidity = dataList[2];\n    String windy = dataList[3];\n    String play = dataList[4];\n    \n    Weather wc = new Weather();\n    wc.outlook = outlook;\n    wc.temperature = temperature;\n    wc.humidity = humidity;\n    wc.windy = windy;\n    wc.play = play;\n    \n    coll.append(wc);\n}<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001GridDB \u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\u3057\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n
\u3053\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3067\u69d8\u3005\u306a\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u305f\u3044\u306e\u3067\u3059\u3002\u3064\u307e\u308a\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u30c7\u30fc\u30bf\u3092\u5f15\u304d\u51fa\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u5b9f\u73fe\u3059\u308b\u306e\u304c\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3059\u3002<\/p>\n
\n
Query<weather> query = coll.query(\"select *\");\nRowSet<weather> rs = query.fetch(false);\nRowSet res = query.fetch();<\/code><\/pre>\n<\/div>\n
\u3053\u3053\u3067\u306f\u3001select *<\/code> \u6587\u3092\u4f7f\u7528\u3057\u3066\u3001Weather<\/code> \u3068\u3044\u3046GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u3092\u9078\u629e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u9069\u5408<\/h2>\n
\u3053\u308c\u3067\u3001\u30c7\u30fc\u30bf\u3068\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u6cd5\u3092\u7528\u3044\u3066\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5f53\u3066\u306f\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u4f7f\u7528\u3059\u308b\u624b\u6cd5\u306f\u3001AdaBoost\u3001Bagging\u3001Stacking\u3001Voting\u306a\u3069\u3067\u3059\u3002<\/p>\n
\u307e\u305a\u3001\u3053\u308c\u3089\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u3001Weka API \u304b\u3089\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
import weka.classifiers.bayes.NaiveBayes;\nimport weka.classifiers.meta.Bagging;\nimport weka.core.Instances;\nimport java.io.BufferedReader;\nimport java.io.FileReader;\nimport weka.classifiers.functions.Logistic;\nimport weka.classifiers.meta.AdaBoostM1;\nimport weka.classifiers.meta.Stacking;\nimport weka.classifiers.trees.DecisionStump;\nimport weka.classifiers.trees.J48;\nimport weka.classifiers.meta.Vote;\nimport weka.classifiers.trees.RandomForest;\nimport weka.classifiers.trees.RandomTree;\nimport weka.core.converters.ConverterUtils.DataSource;\nimport weka.classifiers.functions.LinearRegression;\nimport weka.classifiers.Classifier;<\/code><\/pre>\n<\/div>\n
\u6b21\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u7528\u306e\u30d0\u30c3\u30d5\u30a1\u30fc\u30c9\u30ea\u30fc\u30c0\u30fc\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n
\n
BufferedReader bufferedReader\n    = new BufferedReader(\n        new FileReader(res));\n\n\/\/ Create dataset instances\nInstances datasetInstances\n    = new Instances(bufferedReader);<\/code><\/pre>\n<\/div>\n
Weka API \u306e AdaBoost()<\/code> \u95a2\u6570\u3092\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u5316\u3057\u3066\u3001AdaBoost \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u4e0a\u306b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3059\u308b\u306e\u306b\u5f79\u7acb\u3066\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
datasetInstances.setClassIndex(datasetInstances.numAttributes()-1);\n\n\/**\n * AdaBoost\n *\/\nAdaBoostM1 learner1 = new AdaBoostM1();\nlearner1.setClassifier(new DecisionStump());\nlearner1.setNumIterations(100);\nlearner1.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n
\u6b21\u306b\u3001Bagging\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3057\u307e\u3059\u3002<\/p>\n
\n
\/**\n * bagging\n *\/\nBagging learner2 = new Bagging();\nlearner2.setClassifier(new RandomTree());\nlearner2.setNumIterations(25);\nlearner2.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n
Weka API \u306e Stacking()<\/code> \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u3001Stacking \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
\/**\n * stacking\n *\/\nStacking learner3 = new Stacking();\nlearner3.setMetaClassifier(new Logistic());\nClassifier[] classifiers = {new J48(), new NaiveBayes(), new RandomForest()};\nlearner3.setClassifiers(classifiers);\nlearner3.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n
\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u6c7a\u5b9a\u6728\u3001\u30ca\u30a4\u30fc\u30d6\u30d9\u30a4\u30ba\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u3063\u3066\u4f5c\u3089\u308c\u305f3\u3064\u306e\u30e2\u30c7\u30eb\u3092\u7a4d\u307f\u91cd\u306d\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u305d\u3057\u3066\u6700\u5f8c\u306b\u3001Voting \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3059\u308b\u304b\u3092\u8aac\u660e\u3057\u307e\u3059\u3002\u4e0a\u8a18\u306e\u30d9\u30fc\u30b9\u3068\u306a\u308b\u5b66\u7fd2\u5668\u3084\u5206\u985e\u5668\u3001\u3064\u307e\u308a\u6c7a\u5b9a\u6728\u3001\u30ca\u30a4\u30fc\u30d6\u30d9\u30a4\u30ba\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u5b66\u7fd2\u5668\u306e\u51fa\u529b\u3092\u96c6\u7d04\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306b Weka API \u306e Vote()<\/code> \u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
\/**\n * voting\n *\/\nVote vote = new Vote();\nvote.setClassifiers(classifiers);\nvote.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n
\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3059\u308b\u306b\u306f\u3001Weka API \u304c\u63d0\u4f9b\u3059\u308b Evaluation()<\/code> \u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u305d\u306e\u524d\u306b\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u95a2\u6570\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\n
import weka.classifiers.Evaluation;<\/code><\/pre>\n<\/div>\n
\u305d\u306e\u5f8c\u3001\u95a2\u6570\u3092\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u5316\u3057\u3001\u8a55\u4fa1\u6307\u6a19\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
Evaluation eval = new Evaluation(datasetInstances);\neval.evaluateModel(classifiers, datasetInstances);<\/code><\/pre>\n<\/div>\n
\u305d\u3057\u3066\u3001\u8a55\u4fa1\u6307\u6a19\u306e\u30b5\u30de\u30ea\u30fc\u3092\u51fa\u529b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
System.out.println(eval.toSummaryString());<\/code><\/pre>\n<\/div>\n
\u4e88\u6e2c\u3059\u308b<\/h2>\n
\u6211\u3005\u306f\u3001\u3042\u308b\u4eba\u304c\u5c4b\u5916\u3067\u904a\u3076\u304b\u3069\u3046\u304b\u3092\u77e5\u308b\u305f\u3081\u306b\u4e88\u6e2c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u5229\u7528\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001Weka \u306e ClassifyInstance()<\/code> \u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
Instance pred = datasetInstances.lastInstance();\ndouble answer = classifier.classifyInstance(pred);\nSystem.out.println(answer);<\/code><\/pre>\n<\/div>\n
\u30e2\u30c7\u30eb\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3068\u5b9f\u884c<\/h2>\n
\u30e2\u30c7\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u3066\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001Weka API \u304c\u5fc5\u8981\u3067\u3059\u3002\u4ee5\u4e0b\u306eURL\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
http:\/\/www.java2s.com\/Code\/Jar\/w\/weka.htm<\/a><\/p>\n
\u6b21\u306b\u3001gsadm<\/code> \u30e6\u30fc\u30b6\u3067\u30ed\u30b0\u30a4\u30f3\u3057\u307e\u3059\u3002\u4f5c\u6210\u3057\u305f .java<\/code> \u30d5\u30a1\u30a4\u30eb\u3092 GridDB \u306e bin<\/code> \u30d5\u30a9\u30eb\u30c0\u306b\u79fb\u52d5\u3057\u307e\u3057\u3087\u3046\u3002\u79fb\u52d5\u5148\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin<\/p>\n
Linux\u7aef\u672b\u3067\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3001gridstore.jar\u30d5\u30a1\u30a4\u30eb\u306e\u30d1\u30b9\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\n
export CLASSPATH=$CLASSPATH:\/home\/osboxes\/Downloads\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin\/gridstore.jar<\/code><\/pre>\n<\/div>\n
\u6b21\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066 .java<\/code> \u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u307e\u3059\u3002<\/p>\n
\n
javac -cp weka-3-7-0\/weka.jar EnsembleLearningProject.java<\/code><\/pre>\n<\/div>\n
\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001\u751f\u6210\u3055\u308c\u305f.class\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n
\n
java -cp .:weka-3-7-0\/weka.jar EnsembleLearningProject<\/code><\/pre>\n<\/div>\n
\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30b3\u30fc\u30c9\u306f\u6b63\u5e38\u306b\u5b9f\u884c\u3055\u308c\u308b\u306f\u305a\u3067\u3059\u3002\u4e88\u6e2c\u306e\u51fa\u529b\u306f1.0\u306b\u306a\u308b\u306f\u305a\u3067\u3001\u3053\u308c\u306f\u5c4b\u5916\u3067\u904a\u3076\u3053\u3068\u304c\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
AdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001Voting\u306f\u3059\u3079\u3066\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3067\u3059\u3002\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u7a2e\u3067\u3001\u4e00\u822c\u306b\u300c\u5f31\u3044\u5b66\u7fd2\u5668\u300d\u3084\u300c\u30d9\u30fc\u30b9\u30e2\u30c7\u30eb\u300d\u3068\u547c\u3070\u308c\u308b\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u7279\u5b9a\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u5b66\u7fd2\u3055 […]<\/p>\n","protected":false},"author":41,"featured_media":49411,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50811","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"\nJava\u3068GridDB\u306b\u3088\u308bAdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001\u304a\u3088\u3073Voting\u306e\u5b9f\u88c5 | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"AdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001Voting\u306f\u3059\u3079\u3066\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306e\u624b\u6cd5\u3067\u3059\u3002\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306f\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u7a2e\u3067\u3001\u4e00\u822c\u306b\u300c\u5f31\u3044\u5b66\u7fd2\u5668\u300d\u3084\u300c\u30d9\u30fc\u30b9\u30e2\u30c7\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/adaboost-bagging-stacking-and-voting-in-java-and-griddb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Java\u3068GridDB\u306b\u3088\u308bAdaBoost\u3001\u30d0\u30ae\u30f3\u30b0\u3001\u30b9\u30bf\u30c3\u30ad\u30f3\u30b0\u3001\u304a\u3088\u3073Voting\u306e\u5b9f\u88c5 | GridDB: 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