{"id":50825,"date":"2022-10-27T00:00:00","date_gmt":"2022-10-27T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/graduate-admissions-prediction-using-machine-learning-java-and-griddb\/"},"modified":"2025-11-14T07:55:44","modified_gmt":"2025-11-14T15:55:44","slug":"graduate-admissions-prediction-using-machine-learning-java-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/graduate-admissions-prediction-using-machine-learning-java-and-griddb\/","title":{"rendered":"\u6a5f\u68b0\u5b66\u7fd2\u3001Java\u3001GridDB\u3092\u7528\u3044\u305f\u5927\u5b66\u9662\u5165\u8a66\u306e\u4e88\u6e2c"},"content":{"rendered":"

\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f\u5206\u985e\u4e88\u6e2c\u306b\u4f7f\u7528\u3067\u304d\u308b\u5f37\u529b\u306a\u30e2\u30b8\u30e5\u30fc\u30eb\u3067\u3001\u6c7a\u5b9a\u6728\u3088\u308a\u3082\u826f\u3044\u6027\u80fd\u3092\u767a\u63ee\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30e2\u30b8\u30e5\u30fc\u30eb\u3068\u30af\u30ea\u30fc\u30f3\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u3042\u308b\u5927\u5b66\u9662\u3078\u306e\u5927\u5b66\u751f\u306e\u5165\u5b66\u53ef\u80fd\u6027\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3059\u3002\u3053\u306e\u554f\u984c\u306f\u3001\u696d\u754c\u3067\u3088\u304f\u77e5\u3089\u308c\u305f\u4e88\u6e2c\u30bb\u30c3\u30c8\u3067\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u3001Java\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u306e\u30d7\u30ed\u30bb\u30b9\u306b\u3064\u3044\u3066\u3001\u696d\u754c\u6a19\u6e96\u306e\u30d7\u30ed\u30bb\u30b9\u306b\u5f93\u3044\u307e\u3059\u3002\u6700\u521d\u306b\u3001\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3001\u305d\u308c\u3092\u6e96\u5099\u3057\u3001\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f5c\u6210\u3057\u3001\u305d\u308c\u3092\u5b9f\u884c\u3057\u3001\u6700\u5f8c\u306b\u7d50\u679c\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u305d\u308c\u3092\u30c6\u30b9\u30c8\u3057\u307e\u3059\u3002<\/p>\n

\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3068\u30c7\u30fc\u30bf\u306f\u3053\u3061\u3089: https:\/\/github.com\/griddbnet\/Blogs\/tree\/admissions<\/a><\/p>\n

\u5fc5\u8981\u6761\u4ef6<\/h2>\n

\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4f5c\u6210\u3059\u308b\u306b\u3042\u305f\u308a\u3001\u4e8c\u6b21\u8a18\u61b6\u88c5\u7f6e\u3068\u3057\u3066GridDB<\/strong>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002GridDB<\/strong>\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304a\u3088\u3073\u8a2d\u5b9a\u3057\u3001GridDB<\/strong>\u304c\u3042\u306a\u305f\u306e\u30b7\u30b9\u30c6\u30e0\u3067\u7a3c\u50cd\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/p>\n

\u5fc5\u305a\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001\u5fc5\u8981\u306a\u74b0\u5883\u5909\u6570\u3092\u66f4\u65b0\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

\n
export GS_HOME=$PWD\nexport GS_LOG=$PWD\/log\nexport PATH=${PATH}:$GS_HOME\/bin\nexport CLASSPATH=$CLASSPATH:\/usr\/share\/java\/gridstore.jar\nexport CLASSPATH=${CLASSPATH}:\/usr\/share\/java\/weka.jar<\/code><\/pre>\n<\/div>\n
GridDB<\/strong>\u30af\u30e9\u30b9\u30bf\u304c\u52d5\u4f5c\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u306b\u3001Java\u30af\u30e9\u30b9\u3067\u5b9f\u88c5\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u30bf\u30b9\u30af\u306f GridDB<\/strong> \u30b3\u30f3\u30c6\u30ca\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304b\u3089\u59cb\u3081\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30ab\u30e9\u30e0\u306e\u5f62\u3067\u8868\u793a\u3055\u308c\u308b\u30b3\u30f3\u30c6\u30ca\u30fb\u30b9\u30ad\u30fc\u30de\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/p>\n
\u4e0a\u8a18\u306e\u4f5c\u696d\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
\/\/ Manage connection to GridDB\nProperties properties = new Properties();\nproperties.setProperty(\"notificationAddress\", \"239.0.0.1\");\nproperties.setProperty(\"notificationPort\", \"31999\");\nproperties.setProperty(\"clusterName\", \"cluster\");\nproperties.setProperty(\"database\", \"public\");\nproperties.setProperty(\"user\", \"admin\");\nproperties.setProperty(\"password\", \"admin\");\n\n\/\/ Get Store and Container\nGridStore store = GridStoreFactory.getInstance().getGridStore(properties);\n\nstore.getContainer(\"newContainer\");\n\nString containerName = \"mContainer\";\n\n\/\/ Define container schema and columns\nContainerInfo containerInfo = new ContainerInfo();\nList<columninfo> columnList = new ArrayList<columninfo>();\n\ncolumnList.add(new ColumnInfo(\"key\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"Serial No.\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"GRE Score\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"TOEFL Score\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"University Rating\", GSType.INTEGER));\n\ncolumnList.add(new ColumnInfo(\"SOP\", GSType.FLOAT));\ncolumnList.add(new ColumnInfo(\"LOR\", GSType.FLOAT));\ncolumnList.add(new ColumnInfo(\"CGPA\", GSType.FLOAT));\n\ncolumnList.add(new ColumnInfo(\"Research\", GSType.INTEGER));\n\ncolumnList.add(new ColumnInfo(\"Chance of Admit\", GSType.FLOAT));\n\ncontainerInfo.setColumnInfoList(columnList);\ncontainerInfo.setRowKeyAssigned(true);\n\nCollection<Void, Row> collection = store.putCollection(containerName, containerInfo, false);\nList<row> rowList = new ArrayList<row>();<\/code><\/pre>\n<\/div>\n
\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306eJava\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u306f\u30014\u3064\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u7fa4\u304b\u3089\u30af\u30e9\u30b9\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
    \n
  • java.util<\/code>: \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u3068\u66f8\u304d\u8fbc\u307f\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n
  • java.io<\/code>: \u5165\u51fa\u529b\u30bf\u30b9\u30af\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n
  • com.toshiba.mwcloud.gs<\/code>: GridDB<\/strong> \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u8a2d\u5b9a\u3068\u64cd\u4f5c\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n
  • weka.classifier.trees<\/code>: \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n
    \u4e0a\u8a18\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308bJava\u30b3\u30fc\u30c9\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
    \n
    \/\/ ---------- Java Util ---------\nimport java.util.ArrayList;\nimport java.util.List;\nimport java.util.Properties;\nimport java.util.Random;\nimport java.util.Scanner;\n \n\/\/ ---------- Java IO ---------\nimport java.io.IOException;\nimport java.io.File;\nimport java.io.BufferedReader;\nimport java.io.FileReader;\n \n\/\/ ---------- GridDB ---------\nimport com.toshiba.mwcloud.gs.Collection;\nimport com.toshiba.mwcloud.gs.ColumnInfo;\nimport com.toshiba.mwcloud.gs.Container;\nimport com.toshiba.mwcloud.gs.ContainerInfo;\nimport com.toshiba.mwcloud.gs.GSType;\nimport com.toshiba.mwcloud.gs.GridStore;\nimport com.toshiba.mwcloud.gs.GridStoreFactory;\nimport com.toshiba.mwcloud.gs.Query;\nimport com.toshiba.mwcloud.gs.Row;\nimport com.toshiba.mwcloud.gs.RowSet;\n \n \n\/\/----------- Weka ---------\nimport weka.core.Instances;\nimport weka.core.converters.ConverterUtils.DataSource;\nimport weka.classifiers.trees.RandomForest;\nimport weka.classifiers.Evaluation;\n<\/code><\/pre>\n<\/div>\n
    \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/h2>\n
    \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306b\u3001\u3042\u308b\u5927\u5b66\u3078\u306e\u5165\u5b66\u3092\u4e88\u6e2c\u3059\u308b\u305f\u3081\u306eadmission\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f9<\/strong>\u500b\u306e\u5c5e\u6027\u3068400<\/strong>\u500b\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u304b\u3089\u69cb\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n
    \u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u69cb\u6210\u3059\u308b\u5c5e\u6027\u306f\u3001\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
      \n
    • Serial No<\/strong>: \u5b66\u751f\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u6570\u5024<\/li>\n
    • GRE Score<\/strong>: \u5b66\u751f\u306eGRE\u30b9\u30b3\u30a2\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • TOEFL Score<\/strong>: \u5b66\u751f\u306eTOEFL\u30b9\u30b3\u30a2\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • University Rating<\/strong>: \u5927\u5b66\u30e9\u30f3\u30ad\u30f3\u30b0\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • SOP<\/strong>: \u5b66\u751f\u306eSOP\u30b9\u30b3\u30a2\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • LOR<\/strong>: \u5b66\u751f\u306eLOR\u30b9\u30b3\u30a2\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • CGPA<\/strong>: \u5b66\u751f\u306e\u7d2f\u7a4dGPA\u30b9\u30b3\u30a2\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e<\/li>\n
    • Research<\/strong>: \u5b66\u751f\u306e\u7814\u7a76\u6210\u7e3e\u3092\u6570\u5024\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b2\u5024<\/li>\n
    • Chance of Admit<\/strong>: \u5165\u5b66\u306e\u53ef\u80fd\u6027\u3092\u6570\u5024\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b2\u5024<\/li>\n<\/ul>\n
      \u4ee5\u4e0b\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4e00\u90e8\u629c\u7c8b\u3057\u305f\u3082\u306e\u3067\u3059\u3002<\/p>\n
      \n
      Serial No.,GRE Score,TOEFL Score,University Rating,SOP,LOR ,CGPA,Research,Chance of Admit \n1,337,118,4,4.5,4.5,9.65,1,0.92\n2,324,107,4,4,4.5,8.87,1,0.76\n3,316,104,3,3,3.5,8,1,0.72\n4,322,110,3,3.5,2.5,8.67,1,0.8\n5,314,103,2,2,3,8.21,0,0.65\n6,330,115,5,4.5,3,9.34,1,0.9<\/code><\/pre>\n<\/div>\n
      \u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3078\u306e\u6e96\u5099\u3092\u78ba\u5b9f\u306b\u3059\u308b\u305f\u3081\u306b\u3001Java\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u4f5c\u696d\u304c\u7d42\u308f\u3063\u305f\u3089\u3001\u6b21\u306f\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092GridDB<\/strong>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u4f7f\u3063\u3066\u9577\u671f\u4fdd\u5b58\u5834\u6240\u306b\u66f8\u304d\u8fbc\u3080\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
      \u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u4e0a\u8a18\u306e\u30b9\u30c6\u30c3\u30d7\u3092\u5b9f\u88c5\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
      \n
      File data = new File(\"\/home\/ubuntu\/griddb\/gsSample\/Admission_Predict.csv\");\nScanner sc = new Scanner(data);\nsc.useDelimiter(\"n\");\n\nwhile (sc.hasNext())  \/\/ Returns a boolean value\n{\n    int i = 0;\n    Row row = collection.createRow();\n\n    String line = sc.next();\n    String columns[] = line.split(\",\");\n\n    int serial = Integer.parseInt(columns[0]);\n    int gre = Integer.parseInt(columns[1]);\n    int toefl = Integer.parseInt(columns[2]);\n    int rating = Integer.parseInt(columns[3]);\n\n    float sop = Float.parseFloat(columns[4]);\n    float lor = Float.parseFloat(columns[5]);\n    float cgpa = Float.parseFloat(columns[6]);\n\n    int research = Integer.parseInt(columns[7]);\n\n    float admitclass = Float.parseFloat(columns[8]);\n\n    row.setInteger(0, i);\n    row.setInteger(1, serial);\n    row.setInteger(2, gre);\n    row.setInteger(3, toefl);\n    row.setInteger(4, rating);\n\n    row.setFloat(5, sop);\n    row.setFloat(6, lor);\n    row.setFloat(7, cgpa);\n\n    row.setInteger(8, research);\n\n    row.setFloat(9, admitclass);\n\n    rowList.add(row);\n\n    i++;\n}<\/code><\/pre>\n<\/div>\n
      Java\u306b\u3088\u308b\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5b9f\u88c5<\/h2>\n
      \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u6c7a\u5b9a\u6728\u3088\u308a\u3082\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee\u3059\u308b\u5206\u985e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u3092\u9078\u629e\u3057\u305f\u80cc\u666f\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u6c7a\u5b9a\u6728\u3068\u6bd4\u8f03\u3057\u305f\u5834\u5408\u306e\u5229\u70b9\u3092\u8aac\u660e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305a\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u591a\u304f\u306e\u30c4\u30ea\u30fc\u3092\u4f5c\u6210\u3057\u3001\u305d\u306e\u7d50\u679c\u3092\u5e73\u5747\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u53ef\u80fd\u306a\u9650\u308a\u6700\u9ad8\u306e\u7cbe\u5ea6\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u305f\u3081\u3001\u6570\u5024\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u9069\u3057\u305f\u30e2\u30b8\u30e5\u30fc\u30eb\u3068\u8a00\u3048\u307e\u3059\u3002\u7b2c\u4e8c\u306b\u3001\u6211\u3005\u306e\u554f\u984c\u6587\u306f\u3001\u5927\u5b66\u306e\u70b9\u6570\u3068\u6210\u7e3e\u306b\u5927\u304d\u304f\u4f9d\u5b58\u3059\u308b\u5165\u5b66\u8005\u9078\u629c\u306e\u4e88\u6e2c\u3092\u6271\u3063\u3066\u3044\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3053\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u3001\u6570\u5024\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3042\u308b\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u304c\u6700\u9069\u306a\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3068\u306a\u308a\u307e\u3059\u3002Java\u306b\u3088\u308b\u5b9f\u88c5\u3067\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u304c\u542b\u307e\u308c\u3066\u3044\u308b weka.classifier.trees<\/code> \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u6211\u3005\u306e\u30e2\u30c7\u30eb\u3092\u5b9f\u88c5\u3057\u3001\u30c7\u30fc\u30bf\u306e\u59a5\u5f53\u6027\u3068\u7cbe\u5ea6\u3092\u30c1\u30a7\u30c3\u30af\u3059\u308b\u305f\u3081\u306e\u8a55\u4fa1\u30d7\u30ed\u30bb\u30b9\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n
      GridDB\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080<\/h2>\n
      \u9577\u671f\u4fdd\u5b58\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080\u3053\u3068\u306f\u3001\u518d\u5229\u7528\u6027\u3068\u30e2\u30c7\u30eb\u306e\u30a2\u30af\u30bb\u30b7\u30d3\u30ea\u30c6\u30a3\u306b\u3068\u3063\u3066\u91cd\u8981\u3067\u3059\u3002\u3053\u306e\u30bb\u30c3\u30c8\u306f List<Row><\/code> \u30c7\u30fc\u30bf\u578b\u3092\u4f7f\u7528\u3057\u3066\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u3001\u30ea\u30b9\u30c8\u306b\u5024\u3092\u683c\u7d0d\u3059\u308b\u3053\u3068\u304b\u3089\u59cb\u3081\u3066\u3001\u5f8c\u3067 GridDB<\/strong> \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n
      \u672c\u7bc0\u3067\u8aac\u660e\u3059\u308b\u4f5c\u696d\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      row.setInteger(0, i);\nrow.setInteger(1, serial);\nrow.setInteger(2, gre);\nrow.setInteger(3, toefl);\nrow.setInteger(4, rating);\n\nrow.setFloat(5, sop);\nrow.setFloat(6, lor);\nrow.setFloat(7, cgpa);\n\nrow.setInteger(8, research);\n\nrow.setFloat(9, admitclass);\n\nrowList.add(row);<\/code><\/pre>\n<\/div>\n
      GridDB\u306b\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b<\/h2>\n
      \u30c7\u30fc\u30bf\u3092 GridDB<\/strong> \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u683c\u7d0d\u3059\u308b\u305f\u3081\u306b\u3001\u9069\u5207\u306a\u30ab\u30e9\u30e0\u540d\u3068\u30c7\u30fc\u30bf\u578b\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305a\u3001\u3053\u306e\u4f5c\u696d\u306f\u5c5e\u6027\u306e\u30c7\u30fc\u30bf\u578b\u3092\u8abf\u3079\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3067\u305d\u306e\u578b\u3092\u30de\u30c3\u30d4\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u9054\u6210\u3055\u308c\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8abf\u67fb\u3057\u305f\u7d50\u679c\u3001\u3059\u3079\u3066\u306e\u5c5e\u6027\u304c\u6570\u5024\u3067\u3042\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3057\u305f\u3002\u3064\u307e\u308a\u3001\u6587\u5b57\u5217\u3084\u30ad\u30e3\u30e9\u30af\u30bf\u30fc\u3092\u30de\u30c3\u30d4\u30f3\u30b0\u3059\u308b\u5fc5\u8981\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u6b21\u306b\u3001\u6574\u6570\u5024\u3068\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u3092\u533a\u5225\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u975e\u5e38\u306b\u7c21\u5358\u3067\u3001\u5927\u5b66\u306e\u6210\u7e3e\u306f\u3059\u3079\u3066\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u3067\u3001\u305d\u306e\u4ed6\u306e\u5024\u306f\u6574\u6570\u5024\u3067\u3042\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
      \u672c\u7bc0\u3067\u8aac\u660e\u3059\u308b\u4f5c\u696d\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      ContainerInfo containerInfo = new ContainerInfo();\nList<columninfo> columnList = new ArrayList<columninfo>();\n\ncolumnList.add(new ColumnInfo(\"key\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"Serial No.\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"GRE Score\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"TOEFL Score\", GSType.INTEGER));\ncolumnList.add(new ColumnInfo(\"University Rating\", GSType.INTEGER));\n\ncolumnList.add(new ColumnInfo(\"SOP\", GSType.FLOAT));\ncolumnList.add(new ColumnInfo(\"LOR\", GSType.FLOAT));\ncolumnList.add(new ColumnInfo(\"CGPA\", GSType.FLOAT));\n\ncolumnList.add(new ColumnInfo(\"Research\", GSType.INTEGER));\n\ncolumnList.add(new ColumnInfo(\"Chance of Admit\", GSType.FLOAT));<\/code><\/pre>\n<\/div>\n
      GridDB\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n
      \u30b3\u30fc\u30c9\u306e\u6709\u52b9\u6027\u3092\u30c6\u30b9\u30c8\u3059\u308b\u3053\u3068\u306f\u3001\u79c1\u305f\u3061\u306e\u4e3b\u8981\u306a\u512a\u5148\u4e8b\u9805\u306e1\u3064\u3067\u3042\u308b\u3079\u304d\u3067\u3059\u3002\u3053\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30c7\u30fc\u30bf\u304c\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u6b63\u3057\u304f\u4fdd\u5b58\u3055\u308c\u3001\u554f\u984c\u304c\u306a\u3044\u3053\u3068\u3092\u691c\u8a3c\u3057\u307e\u3059\u3002\u3053\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u3059\u3079\u3066\u306e\u5024\u3092\u8fd4\u3059 SELECT<\/code> \u30af\u30a8\u30ea\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
      \u672c\u7bc0\u3067\u8aac\u660e\u3059\u308b\u4f5c\u696d\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      Container container = store.getContainer(containerName);\n\nif (container == null) {\n    throw new Exception(\"Container not found.\");\n}\n\nQuery<row> query = container.query(\"SELECT * \");\nRowSet<row> rowset = query.fetch();<\/code><\/pre>\n<\/div>\n
      \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u305f\u3089\u3001\u6b21\u306f\u30c7\u30fc\u30bf\u3092\u8868\u793a\u3059\u308b\u4f5c\u696d\u3067\u3059\u3002\u3053\u306e\u4f5c\u696d\u306b\u306f\u3001Java\u306e\u30eb\u30fc\u30d7\u3068print\u6587\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n
      \u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001GridDB<\/strong>\u306e\u30c7\u30fc\u30bf\u3092\u8868\u793a\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      while (rowset.hasNext()) {\n\n    Row row = rowset.next();\n\n    int serial = row.getInt(0);\n\n    float gre = row.getFloat(1);\n    float toefl = row.getFloat(2);\n    float rating = row.getFloat(3);\n\n    int sop = row.getInt(4);\n    int lor = row.getInt(5);\n    int cgpa = row.getInt(6);\n    int research = row.getInt(7);\n\n    float admitclass =row.getFloat(8);\n\n    System.out.println(admitclass);\n}<\/code><\/pre>\n<\/div>\n
      \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u69cb\u7bc9<\/h2>\n
      \u30e9\u30f3\u30c0\u30e0\u30fb\u30d5\u30a9\u30ec\u30b9\u30c8\u30fb\u30e2\u30c7\u30eb\u306f\u3001\u3042\u308b\u5b66\u751f\u306e\u5927\u5b66\u3078\u306e\u5165\u5b66\u4e88\u6e2c\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u306b\u3001Java \u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u547c\u3073\u51fa\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u307e\u305a\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u521d\u671f\u5316\u3057\u307e\u3059\u3002\u6b21\u306b\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u306e WEKA<\/code> \u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
      \u672c\u7bc0\u3067\u8aac\u660e\u3059\u308b\u4f5c\u696d\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      RandomForest randomForest = new RandomForest();\n\nString[] parameters = new String[14];\n     \nparameters[0] = \"-P\";\nparameters[1] = \"100\";\nparameters[2] = \"-I\";\nparameters[3] = \"100\";\nparameters[4] = \"-num-slots\";\nparameters[5] = \"1\";\nparameters[6] = \"-K\";\nparameters[7] = \"0\";\nparameters[8] = \"-M\";\nparameters[9] = \"1.0\";\nparameters[10] = \"-V\";\nparameters[11] = \"0.001\";\nparameters[12] = \"-S\";\nparameters[13] = \"1\";\n   \nrandomForest.setOptions(parameters);<\/code><\/pre>\n<\/div>\n
      \u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5b9a\u7fa9\u3057\u305f\u3089\u3001\u305d\u308c\u3092\u30e2\u30c7\u30eb\u306b\u8a2d\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001\u5b66\u7fd2\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3055\u305b\u307e\u3059\u3002\u6700\u5f8c\u306b\u3001\u5165\u5834\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3055\u305b\u305f\u3089\u3001\u305d\u306e\u7d50\u679c\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u3067\u30b3\u30fc\u30c9\u3092\u7d42\u4e86\u3057\u307e\u3059\u3002<\/p>\n
      \u672c\u7bc0\u3067\u8aac\u660e\u3059\u308b\u4f5c\u696d\u3092\u884c\u3046\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n
      \n
      randomForest.setOptions(parameters);\n\nrandomForest.buildClassifier(datasetInstances);\n\nEvaluation evaluation = new Evaluation(datasetInstances);\n\nevaluation.crossValidateModel(randomForest, datasetInstances, numFolds, new Random(1));\n\nSystem.out.println(evaluation.toSummaryString(\"nResultsn======n\", true));<\/code><\/pre>\n<\/div>\n
      \u30b3\u30fc\u30c9\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3068\u5b9f\u884c<\/h2>\n
      Java\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3059\u308b\u305f\u3081\u306b\u3001GridDB\u30d5\u30a9\u30eb\u30c0\u3092\u63a2\u3057\u3001\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002Java\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3059\u308b\u305f\u3081\u306b\u3001javac<\/code>\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u30b3\u30f3\u30d1\u30a4\u30eb\u304c\u5b8c\u4e86\u3057\u305f\u3089\u3001\u6b21\u306b java<\/code> \u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n
      \u5177\u4f53\u7684\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30de\u30f3\u30c9\u3067\u3059\u3002<\/p>\n
      \n
      javac gsSample\/randomForest.java<\/code><\/pre>\n<\/div>\n
      \n
      java gsSample\/randomForest<\/code><\/pre>\n<\/div>\n
      \u7d50\u8ad6\u3068\u7d50\u679c<\/h2>\n
      \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306eJava\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u305f\u5f8c\u3001\u79c1\u305f\u3061\u306e\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u7d50\u679c\u3092\u8abf\u3079\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u7d50\u679c\u306e\u8981\u7d04\u306b\u306f\u3001\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u7d50\u679c\u306e\u30b5\u30de\u30ea\u30fc\u306b\u306f\u3001\u5c5e\u6027\u6570\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u6570\u3001\u30e2\u30c7\u30eb\u306e\u60c5\u5831\u306e\u7cbe\u5ea6\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u6211\u3005\u306e\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f\u3001\u308f\u305a\u304b400<\/strong>\u500b\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f7f\u7528\u3057\u3066\u300191.05%<\/strong>\u306e\u7cbe\u5ea6\u306b\u9054\u3057\u307e\u3057\u305f\u3002\u8aac\u660e\u3059\u308b\u3068\u3001\u6211\u3005\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u6570\u306f\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8868\u3057\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u306e\u3067\u3059\u3002\u3064\u307e\u308a\u3001\u3088\u308a\u5927\u304d\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3042\u308c\u3070\u3001\u3088\u308a\u5e83\u7bc4\u56f2\u306b\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u3059\u3002\u3055\u3089\u306b\u3001GridDB<\/strong>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306f\u52d5\u7684\u3067\u3042\u308a\u3001\u6211\u3005\u306e\u30e2\u30c7\u30eb\u3067\u5b9f\u884c\u3059\u308b\u8ffd\u52a0\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u5bb9\u6613\u306b\u683c\u7d0d\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
      \u4ee5\u4e0b\u306e\u8981\u7d04\u51fa\u529b\u306f\u3001\u79c1\u305f\u3061\u306e\u7d50\u679c\u3068\u8a55\u4fa1\u60c5\u5831\u3092\u8868\u73fe\u3057\u305f\u3082\u306e\u3067\u3059\u3002<\/p>\n
      \n
      === Run information ===\n\nRelation:     Admission_Predict\nInstances:    400\nAttributes:   9\n              Serial No.\n              GRE Score\n              TOEFL Score\n              University Rating\n              SOP\n              LOR \n              CGPA\n              Research\n              Chance of Admit \n\n=== Summary ===\n\nCorrectly Classified Instances          91.05 %\nIncorrectly Classified Instances        8.96 %  \nMean absolute error                     0.0896\nRelative absolute error                 9.19   %\nRoot relative squared error             34.3846 %\nTotal Number of Instances               400   <\/code><\/pre>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
      \u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f\u5206\u985e\u4e88\u6e2c\u306b\u4f7f\u7528\u3067\u304d\u308b\u5f37\u529b\u306a\u30e2\u30b8\u30e5\u30fc\u30eb\u3067\u3001\u6c7a\u5b9a\u6728\u3088\u308a\u3082\u826f\u3044\u6027\u80fd\u3092\u767a\u63ee\u3057\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30e2\u30b8\u30e5\u30fc\u30eb\u3068\u30af\u30ea\u30fc\u30f3\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u3042\u308b\u5927\u5b66\u9662\u3078\u306e\u5927\u5b66\u751f\u306e\u5165\u5b66\u53ef\u80fd\u6027\u3092\u4e88\u6e2c\u3059\u308b\u3053 […]<\/p>\n","protected":false},"author":41,"featured_media":49480,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"\n\u6a5f\u68b0\u5b66\u7fd2\u3001Java\u3001GridDB\u3092\u7528\u3044\u305f\u5927\u5b66\u9662\u5165\u8a66\u306e\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" 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