{"id":50794,"date":"2022-04-22T00:00:00","date_gmt":"2022-04-22T07:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-purchasing-habits-with-the-random-forest-algorithm\/"},"modified":"2025-11-14T07:55:20","modified_gmt":"2025-11-14T15:55:20","slug":"predicting-purchasing-habits-with-the-random-forest-algorithm","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-purchasing-habits-with-the-random-forest-algorithm\/","title":{"rendered":"\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u8cfc\u8cb7\u7fd2\u6163\u306e\u4e88\u6e2c"},"content":{"rendered":"

\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f\u5206\u985e\u3084\u56de\u5e30\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u7528\u3044\u3089\u308c\u308b\u6559\u5e2b\u3042\u308a\u306e\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u8907\u96d1\u306a\u554f\u984c\u3092\u89e3\u6c7a\u3057\u3001\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u591a\u304f\u306e\u5206\u985e\u5668\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u30d7\u30ed\u30bb\u30b9\u3067\u3042\u308b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2<\/em>\u306e\u6982\u5ff5\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u5206\u985e\u5668\u306f\u3001\u7279\u5b9a\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69d8\u3005\u306a\u30b5\u30d6\u30bb\u30c3\u30c8\u306b\u5bfe\u3059\u308b\u591a\u6570\u306e\u6c7a\u5b9a\u6728\u3092\u542b\u307f\u3001\u305d\u306e\u5e73\u5747\u5024\u3092\u7528\u3044\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e88\u6e2c\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f1\u3064\u306e\u6c7a\u5b9a\u6728\u306b\u4f9d\u5b58\u305b\u305a\u3001\u5404\u6c7a\u5b9a\u6728\u304b\u3089\u306e\u4e88\u6e2c\u3092\u53d6\u308a\u8fbc\u307f\u3001\u4e88\u6e2c\u306e\u591a\u6570\u6c7a\u306b\u57fa\u3065\u3044\u3066\u6700\u7d42\u7684\u306a\u4e88\u6e2c\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n

\u30d5\u30a9\u30ec\u30b9\u30c8\u5185\u306e\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u6570\u304c\u591a\u3044\u307b\u3069\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7cbe\u5ea6\u304c\u5411\u4e0a\u3057\u3001\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u306e\u53ef\u80fd\u6027\u304c\u4f4e\u304f\u306a\u308a\u307e\u3059\u3002\u4eca\u56de\u306fJava\u306e\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068GridDB\u3092\u4f7f\u3063\u3066\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u6027\u5225\u3001\u5e74\u9f62\u3001\u7d66\u4e0e\u304b\u3089SUV\u3092\u8cfc\u5165\u3059\u308b\u304b\u3069\u3046\u304b\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/p>\n

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

\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306f\u3001\u6027\u5225\u3001\u5e74\u9f62\u3001\u7d66\u4e0e\u3001SUV\u3092\u8cfc\u5165\u3057\u305f\u304b\u3069\u3046\u304b\u3067\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u306f\u3001”suv.csv “\u3068\u3044\u3046CSV\u30d5\u30a1\u30a4\u30eb\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u3092GridDB\u306b\u683c\u7d0d\u3057\u3001\u30af\u30a8\u30ea\u306e\u6027\u80fd\u5411\u4e0a\u306a\u3069\u306e\u30e1\u30ea\u30c3\u30c8\u3092\u4eab\u53d7\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u307e\u305a\u3001\u3053\u308c\u306b\u4f7f\u7528\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u4e00\u5f0f\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n

\n
import java.io.File;\nimport java.util.Scanner;\nimport java.io.IOException;\nimport java.util.Properties;\nimport java.util.Collection;\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
\u305d\u308c\u3067\u306f\u3001\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b GridDB \u30b3\u30f3\u30c6\u30ca\u3092\u8868\u3059\u9759\u7684 Java \u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
public static class SuvData {\n     @RowKey int user_id;\n     String gender;\n     int age;\n     int estimatedSalary;\n     int purchased;\n    } <\/code><\/pre>\n<\/div>\n
GridDB\u30b3\u30f3\u30c6\u30ca\u306e5\u3064\u306e\u30ab\u30e9\u30e0\u306f\u3001\u4e0a\u8a18\u306e\u30af\u30e9\u30b9\u3067\u306f\u305d\u308c\u305e\u308c\u5909\u6570\u3068\u3057\u3066\u8868\u73fe\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n
GridDB\u30b3\u30f3\u30c6\u30ca\u3078\u306e\u63a5\u7d9a\u3092\u652f\u63f4\u3059\u308bJava\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u3053\u3053\u3067\u306f\u3001GridDB\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u969b\u306e\u8a8d\u8a3c\u60c5\u5831\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n
\n
        Properties props = new Properties();\n        props.setProperty(\"notificationAddress\", \"239.0.0.1\");\n        props.setProperty(\"notificationPort\", \"31999\");\n        props.setProperty(\"clusterName\", \"defaultCluster\");\n        props.setProperty(\"user\", \"admin\");\n        props.setProperty(\"password\", \"admin\");\n        GridStore store = GridStoreFactory.getInstance().getGridStore(props);<\/code><\/pre>\n<\/div>\n
GridDB \u3078\u306e\u63a5\u7d9a\u304c\u78ba\u7acb\u3055\u308c\u305f\u306e\u3067\u3001\u3053\u308c\u304b\u3089\u6271\u3046\u30b3\u30f3\u30c6\u30ca\u3092\u9078\u629e\u3057\u307e\u3057\u3087\u3046\u3002\u30b3\u30f3\u30c6\u30ca\u306e\u540d\u524d\u306f SuvData<\/code> \u3068\u3057\u307e\u3059\u3002<\/p>\n
\n
Collection<String, SuvData> coll = store.putCollection(\"col01\", SuvData.class);<\/code><\/pre>\n<\/div>\n
\u30b3\u30f3\u30c6\u30ca\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3001coll<\/code>\u3068\u3044\u3046\u540d\u524d\u3092\u4ed8\u3051\u307e\u3057\u305f\u3002\u3053\u306e\u540d\u524d\u3092\u7528\u3044\u3066\u30b3\u30f3\u30c6\u30ca\u3092\u53c2\u7167\u3059\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\u4eca\u5ea6\u306f suv.csv<\/code> \u30d5\u30a1\u30a4\u30eb\u304b\u3089 GridDB \u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u307f\u307e\u3059\u3002<\/p>\n
\n
                File file1 = new File(\"suv.csv\");\n                Scanner sc = new Scanner(file1);\n                String data = sc.next();\n \n                while (sc.hasNext()){\n                        String scData = sc.next();\n                        String dataList[] = scData.split(\",\");\n                        String user_id = dataList[0];\n                        String gender = dataList[1];\n                        String age = dataList[2];\n                        String estimatedSalary = dataList[3];\n                        String purchased = dataList[4];\n\n                        SuvData sd = new SuvData();\n                        sd.user_id = Integer.parseInt(user_id);\n                        sd.gender = gender;\n                        sd.age = Integer.parseInt(age);\n                        sd.estimatedSalary = Integer.parseInt(estimatedSalary);\n                        sd.purchased = Integer.parseInt(purchased);\n              \n                        coll.append(sd);\n                }<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u6307\u5b9a\u3055\u308c\u305fGridDB\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n
\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n
GridDB\u306b\u683c\u7d0d\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3055\u305b\u308b\u305f\u3081\u306b\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
                Query<suvdata> query = coll.query(\"select *\");\n                RowSet<suvdata> rs = query.fetch(false);\n                RowSet res = query.fetch();<\/code><\/pre>\n<\/div>\n
\u3053\u3053\u3067\u306f\u3001select *<\/code>\u30b9\u30c6\u30fc\u30c8\u30e1\u30f3\u30c8\u3092\u4f7f\u7528\u3057\u3066\u3001GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u5206\u985e\u5668\u306e\u5b9f\u88c5<\/h2>\n
\u3053\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u5206\u985e\u5668\u3092\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001Weka\u304c\u63d0\u4f9b\u3059\u308b\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u5206\u985e\u5668\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u307e\u305a\u306f\u305d\u306e\u70ba\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30dd\u30fc\u30c8\u304b\u3089\u59cb\u3081\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
import java.io.File;\nimport weka.core.Instances;\nimport weka.filters.Filter;\nimport java.io.IOException;\nimport java.io.FileReader;\nimport java.io.BufferedReader;\nimport weka.core.Instance;\nimport weka.classifiers.Classifier;\nimport weka.classifiers.Evaluation;\nimport weka.core.converters.ArffLoader;\nimport weka.classifiers.trees.RandomForest;\nimport weka.filters.unsupervised.attribute.StringToWordVector;<\/code><\/pre>\n<\/div>\n
\u30c7\u30fc\u30bf\u3092\u30e1\u30e2\u30ea\u30d0\u30c3\u30d5\u30a1\u306b\u683c\u7d0d\u3057\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u5909\u63db\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
        BufferedReader bufferedReader = new BufferedReader(new FileReader(res));\n \n        \/\/ Create dataset instances\n        Instances datasetInstances = new Instances(bufferedReader);<\/code><\/pre>\n<\/div>\n
\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u300110\u672c\u306e\u6728\u304b\u3089\u306a\u308b\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u5206\u985e\u5668\u3092\u4f5c\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4e88\u5099\u3068\u3057\u3066\u3001\u305d\u308c\u3092\u4f7f\u3063\u3066\u4e88\u6e2c\u3092\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
        datasetInstances.setClassIndex(datasetInstances.numAttributes()-1);\n\n        RandomForest forest=new RandomForest();\n        forest.setNumTrees(10);\n        \n        forest.buildClassifier(datasetInstances);<\/code><\/pre>\n<\/div>\n
\u305d\u308c\u3067\u306f\u3001\u3053\u306e\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3057\u3001\u305d\u306e\u30b5\u30de\u30ea\u30fc\u7d71\u8a08\u3092\u6c42\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\n
        Evaluation eval = new Evaluation(datasetInstances);\n        eval.evaluateModel(forest, datasetInstances);\n\n        System.out.println(\"Random Forest Classifier Evaluation Summary\");\n        System.out.println(eval.toSummaryString());\n        System.out.print(\" The expression for the input data as per algorithm is: \");\n        System.out.println(forest);<\/code><\/pre>\n<\/div>\n
\u4e88\u6e2c\u3059\u308b<\/h2>\n
\u3053\u308c\u3067\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f7f\u3063\u3066\u4e88\u6e2c\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002Weka \u30e9\u30a4\u30d6\u30e9\u30ea\u306e classifyInstance()<\/code> \u95a2\u6570\u306f\u3001\u30e6\u30fc\u30b6\u304c SUV \u3092\u8cb7\u3046\u304b\u3069\u3046\u304b\u3092\u77e5\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002\u3053\u308c\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\n
        Instance pred = datasetInstances.lastInstance();\n        double answer = forest.classifyInstance(pred);\n        System.out.println(answer);<\/code><\/pre>\n<\/div>\n
\u30e2\u30c7\u30eb\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3068\u5b9f\u884c<\/h2>\n
\u4e0a\u8a18\u306e\u30e2\u30c7\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u3066\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u3001Weka API\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002API\u306f\u4ee5\u4e0b\u306eURL\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\n
http:\/\/www.java2s.com\/Code\/Jar\/w\/weka.htm<\/code><\/pre>\n<\/div>\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\u3059\u3002\u79fb\u52d5\u5148\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
\n
\/griddb_4.6.0-1_amd64\/usr\/griddb-4.6.0\/bin<\/code><\/pre>\n<\/div>\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
\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001.java<\/code>\u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\n
javac -cp weka-3-7-0\/weka.jar RandomForestAlgorithm.java<\/code><\/pre>\n<\/div>\n
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\n
java -cp .:weka-3-7-0\/weka.jar RandomForestAlgorithm<\/code><\/pre>\n<\/div>\n
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[…]<\/p>\n","protected":false},"author":41,"featured_media":49401,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50794","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"\n\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u8cfc\u8cb7\u7fd2\u6163\u306e\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" 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