SparkMllib模型选择与优化-网格搜索和交叉验证

SparkMllib模型选择与优化

• 如何对模型选择与优化

  • 通过Spark提供的CrossValidation、TrainTestSplit方法交叉验证

    • Estimate（估算器）:fit-transform，算法或管道调整
    • Param:网格搜索进行超参数(模型训练之前提前给定的参数，参数是学习过程中学习到最优解的参数)的选择
    • Evaluator:分类(二分类和多分类）和回归不同校验方式

  • 交叉验证

    • K=3，5，10等交叉验证

    • CrossValidator–学习器–校验器–校验方法

      CrossValidator首先将数据集分成一组折叠，这些折叠用作单独的训练和测试数据集。 例如，k = 3倍，CrossValidator将生成3个（训练，测试）数据集对，每个数据集使用2/3的数据进行训练，1/3进行测试。为了评估一个特定的ParamMap，CrossValidator通过在3个不同的（训练，测试）数据集对上拟合Estimator来计算3个模型的平均评估度量。在确定最佳ParamMap之后，CrossValidator最终使用最好的ParamMap和整个数据集重新拟合Estimator。

      案例：通过交叉-验证进行模型选择，如何使用CrossValidator从参数网格中进行选择。请注意，通过参数网格的交叉验证是昂贵的。 例如，在下面的示例中，参数网格具有3个值，用于hashingTF.numFeatures，2个值用于lr.regParam，CrossValidator使用2折交叉验证。 得到模型一共 (3×2)×2 = 12。一般k=3或10较为常用。

    • 超参数的网格搜索

      • ParamGrid–将多个超参数的取值通过Map结构给定
      • 通过交叉验证得到最优参数对数据进行预测分析

    • 简单交叉验证

      • 除了CrossValidator Spark，还提供了用于超参数调整的TrainValidationSplit。 TrainValidationSplit仅对参数每个组合进行一次评估，而在CrossValidator的情况下，则不是k次。 因此，运行的成本较低，但在训练数据集不够大时预测的效果不好。与CrossValidator不同，TrainValidationSplit创建一个（训练，测试）数据集对。 它使用trainRatio参数将数据集分成这两个部分。 例如，trainRatio = 0.75，TrainValidationSplit将生成训练和测试数据集对，其中75％的数据用于训练，25％用于验证。

        像CrossValidator一样，TrainValidationSplit最终适合使用最好的ParamMap和整个数据集的Estimator。

      • TrainValidation检验方式

      • fit-transform方法直接转换

    • 模型选择

      • 通过上述的几个方法选择最优参数的部分

• titanic实战

  import org.apache.spark.ml.{Pipeline, PipelineModel, linalg}
  import org.apache.spark.ml.classification.{RandomForestClassificationModel, RandomForestClassifier}
  import org.apache.spark.ml.evaluation.BinaryClassificationEvaluator
  import org.apache.spark.ml.feature.{StringIndexer, VectorAssembler}
  import org.apache.spark.ml.param.ParamMap
  import org.apache.spark.ml.tuning.{CrossValidator, CrossValidatorModel, ParamGridBuilder}
  import org.apache.spark.sql.functions._
  import org.apache.spark.sql.{Column, DataFrame, SparkSession}
  import org.apache.spark.{SparkConf, SparkContext}
  
  
  // 下面这个UDF函数的含义是将测试集的数据和训练集的数据结合起来，选择年龄这个字段，来求年龄字段的平均值，取出一个年龄的平均值转换称Double类型返回。
  object titanicAnalusis {
  
    def getUserAvgAge(trainDf:DataFrame,testDf:DataFrame) ={
      // .head()  Returns the first row. 返回第一行,返回一行中的位置是0的数以原始双精度值返回。
      trainDf.union(testDf).agg(avg("Age")).head().getDouble(0)
    }
  
    // 平均票价
    def getFareAvgAge(trainDf:DataFrame,testDf:DataFrame) ={
      // .head()  Returns the first row. 返回第一行,返回一行中的位置是0的数以原始双精度值返回。
      trainDf.union(testDf).agg(avg("Fare")).head().getDouble(0)
    }
  
    def main(args: Array[String]): Unit = {
      // 1. 准备环境
      // 1.1 配置SparkConf
      val conf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("titanicAnalusisModel")
      // 1.2 构建SparkSession
      val sparkSession: SparkSession = SparkSession.builder().config(conf).getOrCreate()
      // 1.3 获取SparkContext
      val sc: SparkContext = sparkSession.sparkContext
      sc.setLogLevel("WARN")
      // 2. 准备数据，读取测试集数据和训练集数据
      val trainPath = "train.csv"
      val testPath = "test.csv"
  
  
      // 2.1 从csv中读取数据
      var trainDf: DataFrame = sparkSession.read.format("csv").option("header","true").option("inferSchema","true").load(trainPath)
      var testDf: DataFrame = sparkSession.read.format("csv").option("header","true").option("inferSchema","true").load(trainPath)
  //    trainDf.show(false)
  //    |PassengerId|Survived|Pclass|Name                                                   |Sex   |Age |SibSp|Parch|Ticket          |Fare   |Cabin|Embarked|
  //    +-----------+--------+------+-------------------------------------------------------+------+----+-----+-----+----------------+-------+-----+--------+
  //    |1          |0       |3     |Braund, Mr. Owen Harris                                |male  |22.0|1    |0    |A/5 21171       |7.25   |null |S       |
  //      |2          |1       |1     |Cumings, Mrs. John Bradley (Florence Briggs Thayer)    |female|38.0|1    |0    |PC 17599        |71.2833|C85  |C       |
  //    root
  //    |-- PassengerId: integer (nullable = true)
  //    |-- Survived: integer (nullable = true)
  //    |-- Pclass: integer (nullable = true)
  //    |-- Name: string (nullable = true)
  //    |-- Sex: string (nullable = true)
  //    |-- Age: double (nullable = true)
  //    |-- SibSp: integer (nullable = true)
  //    |-- Parch: integer (nullable = true)
  //    |-- Ticket: string (nullable = true)
  //    |-- Fare: double (nullable = true)
  //    |-- Cabin: string (nullable = true)
  //    |-- Embarked: string (nullable = true)
  
      trainDf.printSchema()
  //    testDf.show(false)
  
      // 3-数据的清洗与处理，使用SparkSql来完成相应的操作。
      // 3-1 处理年龄缺失值的方式，比如使用平均值来代替缺失值，下面定义了一个UDF函数
      //其实就像C语言中的API，通过API对参数进行相关的操作后返回
  
      val avgAge: Double = getUserAvgAge(trainDf,testDf)
      // 3-2 打印一下所有乘客年龄的平均值
      println(avgAge)
  
      // 3-3 对年龄字段中的缺失值填充平均值，na方法的含义是返回一个DataFrameNaFunctions对象来处理缺失值
      trainDf = trainDf.na.fill(avgAge,Array("Age"))
      testDf = testDf.na.fill(avgAge,Array("Age"))
  //    trainDf.show(false)
  //    testDf.show(false)
  
      // Returns a [[DataFrameNaFunctions]] for working with missing data.
      // 3-4 处理上船地址是缺失值的数据，填充为S
      // trainDf = trainDf.na.fill("S",Array("Embarked"))
      trainDf = trainDf.na.fill("S",Array("Embarked"))
      testDf = testDf.na.fill("S",Array("Embarked"))
      // 3-5 乘船票价缺失的项填充为车票的平均值。
      val avgFare: Double = getFareAvgAge(trainDf,testDf)
      println(avgFare)
      trainDf = trainDf.na.fill(avgFare, Array("Fare"))
      testDf = testDf.na.fill(avgFare,Array("Fare"))
  
      // 3-6 定义一个udf函数，从name字段中得出头衔
      // 3-6-1自定义UDF函数
      val getTitleFromName = (name:String) =>{
        if (name.contains("Miss") )
          "Miss"
        else if (name.contains("Mr") )
          "Mr"
        else if (name.contains("Mrs") )
          "Mrs"
        else "RareTitle"
  
      }
      // 3-6-2注册UDF函数
      sparkSession.udf.register("getTitleFromName", getTitleFromName)
  
      // 3-7 使用UDF函数，获取每一行中的Name列，进行处理后得到Title列，如果title存在，则替换，如果不存在则新增
      // 返回一个新的DataSet并添加一个新的列名，如果列名已经存在则进行替换。
      // 第二个参数表示的Column,列的实体，头衔这个列是通过性别的列转换而来。
      trainDf = trainDf.withColumn("title", callUDF("getTitleFromName",trainDf("Name")))
      testDf = testDf.withColumn("title", callUDF("getTitleFromName",testDf("Name")))
      trainDf.show(false)
  //    +-----------+--------+------+-------------------------------------------------------+------+------------------+-----+-----+----------------+-------+-----+--------+---------+
  //    |PassengerId|Survived|Pclass|Name                                                   |Sex   |Age               |SibSp|Parch|Ticket          |Fare   |Cabin|Embarked|title    |
  //    +-----------+--------+------+-------------------------------------------------------+------+------------------+-----+-----+----------------+-------+-----+--------+---------+
  //    |1          |0       |3     |Braund, Mr. Owen Harris                                |male  |22.0              |1    |0    |A/5 21171       |7.25   |null |S       |Mr       |
      // 3.8 如果性别为女，年龄大于18岁，并且有子女或父母，认为这个人是一个母亲，这个是规则，规则跟最终的评判结果还是相关的，那如何找规则，这是一个难点。
      // Parses the expression string into the column that it represents, similar to
      // when(expr(),value).otherwise(other value)将表达式字符串解析到它表达的列中，里面的字符串使用单引号括起来,符合字符串中的规则则返回一个值，不符合则返回另外一个值
      // 将这个Column生成规则放入到withColumn中的第二个参数上
      // 第二个参数表示的Column,列的实体，头衔这个列是通过性别的列转换而来。DSL中的等于号是两个=
      val motherColumn: Column = when(expr("Age > 18 and Parch > 0 and Sex == 'female'"),1).otherwise(0)
      trainDf = trainDf.withColumn("mother",motherColumn)
      testDf = testDf.withColumn("mother",motherColumn)
  //    trainDf.show(false)
  //    testDf.show(false)
  //    +-----------+--------+------+--------------------+------+-----------------+-----+-----+----------------+-------+-----+--------+---------+------+
  //    |PassengerId|Survived|Pclass|                Name|   Sex|              Age|SibSp|Parch|          Ticket|   Fare|Cabin|Embarked|    title|mother|
  //    +-----------+--------+------+--------------------+------+-----------------+-----+-----+----------------+-------+-----+--------+---------+------+
  //    |          1|       0|     3|Braund, Mr. Owen ...|  male|             22.0|    1|    0|       A/5 21171|   7.25| null|       S|       Mr|     0|
      // 4-数据的特征工程
      // 4.1.1 StringIndexer,Sex列进行转换，字符串转换成索引
      val sexIndex: StringIndexer = new StringIndexer().setInputCol("Sex").setOutputCol("SexIndex")
      // 4.1.2 上船位置列从字符串转换成索引
      val emberkedIndex: StringIndexer = new StringIndexer().setInputCol("Embarked").setOutputCol("EmbarkedIndex")
      // 4.1.3 头衔列字符串转换成索引
      val titleIndex: StringIndexer = new StringIndexer().setInputCol("title").setOutputCol("titleIndex")
      // 4.1.4 是否幸存标签列的字符串转换成索引
      val survivedIndex: StringIndexer = new StringIndexer().setInputCol("Survived").setOutputCol("SurvivedIndex")
  
      // 4.1.5 判断将要做特征的列中是否有缺失值，有的话构建模型会失败
  //    println("null column dataFrame ==============")
  //    val nullEmbarked:DataFrame = trainDf.filter(trainDf("Embarked").isNull)
  //    println(nullEmbarked.count())
  //    val nullTitleIndex: DataFrame = trainDf.filter(trainDf("title").isNull)
  //    println(nullTitleIndex.count())
  //    val nullMother: DataFrame = trainDf.filter(trainDf("mother").isNull)
  //    println(nullMother.count())
  //    val nullPclass: DataFrame = trainDf.filter(trainDf("Pclass").isNull)
  //    println(nullPclass.count())
  //    val nullAge: DataFrame = trainDf.filter(trainDf("Age").isNull)
  //    println(nullAge.count())
  //    val nullFare: DataFrame = trainDf.filter(trainDf("Fare").isNull)
  //    println(nullFare.count())
  //    val nullSibSp: DataFrame = trainDf.filter(trainDf("SibSp").isNull)
  //    println(nullSibSp.count())
  //    val nullParch: DataFrame = trainDf.filter(trainDf("Parch").isNull)
  //    println(nullParch.count())
  
      // 4.2 将各个数值型的特征转换成一个特征向量，使用的是VectorAssembler
      val featuresVector: VectorAssembler = new VectorAssembler().
        setInputCols(Array("SexIndex", "EmbarkedIndex", "titleIndex", "mother", "Pclass", "Age", "Fare", "SibSp", "Parch"))//
        .setOutputCol("Features")
      // 5. 通过随机森林算法建立分类模型
      val rfc: RandomForestClassifier = new RandomForestClassifier().setLabelCol("SurvivedIndex").setFeaturesCol("Features")
      // 6. 通过Pipeline实现管道，通过SetStages来设置各个阶段的处理项
      val pipeline: Pipeline = new Pipeline().setStages(Array(sexIndex,emberkedIndex,titleIndex,survivedIndex,featuresVector,rfc))
      // 7-通过网格搜索完成超参数的验证 添加具有多个值的参数，即一个参数有多个候选值，通过交叉验证选择出模型性能最好的参数
      val paramMap: Array[ParamMap] = new ParamGridBuilder()
        .addGrid(rfc.maxDepth, Array(5, 10, 20))
        .addGrid(rfc.numTrees, Array(10, 50, 100))
        .addGrid(rfc.maxBins, Array(16, 32, 48)).build()
  
      // 8. 通过二分类的评估器进行评估
      val evaluator: BinaryClassificationEvaluator = new BinaryClassificationEvaluator().setLabelCol("SurvivedIndex").setMetricName("areaUnderROC")
      // 9. 结合交叉验证得到最佳模型的参数，那么交叉验证中需要设置Pipeline,网格参数生成器，评估器，交叉验证折叠的次数
      // 比如折叠的次数为10，那么会生成10个（测试，训练）数据集对，每一个数据集对中的1/10的数据会当成测试集，9/10的数据会当成训练集
      val cv: CrossValidator = new CrossValidator().setEstimator(pipeline).setEvaluator(evaluator).setEstimatorParamMaps(paramMap).setNumFolds(2)
      // 9.1 交叉验证评估器通过DataFrame数据训练出模型
      val cvModel: CrossValidatorModel = cv.fit(trainDf)
  
      // 10. 通过训练出模型进行预测
      // 10.1 获取最好的模型
      val bestModel: PipelineModel = cvModel.bestModel.asInstanceOf[PipelineModel]
  
      // 10.1.1 选择索引是5的pipelineModel中的成员，PipelineModel中的estimator已经被fit后成为transformer了
       val rfcBestModel: RandomForestClassificationModel = bestModel.asInstanceOf[PipelineModel].stages(5).asInstanceOf[RandomForestClassificationModel]
      // 10.1.2 获取RandomForestClassificationModel的重要的特征
      val importancesVector: linalg.Vector = rfcBestModel.featureImportances
      // 10.1.3 打印特征向量，打印重要的特征
      println(importancesVector)
      //    (9,[0,1,2,3,4,5,6,7,8],[0.3571442316030072,0.02868788017597425,0.13432757515958677,0.02308271177004318,0.12950593321054085,0.07913464623618699,0.1701980601347919,0.05349619741059557,0.024422764299273255])
  
      // 10.2 通过最好的模型对测试数据集进行预测
      val resutl: DataFrame = bestModel.transform(testDf)
      resutl.show(false)
  //    +-----------+--------+------+-------------------------------------------------------+------+------------------+-----+-----+----------------+-------+-----+--------+---------+------+--------+-------------+----------+-------------+------------------------------------------------------+---------------------------------------+----------------------------------------+----------+
  //    |PassengerId|Survived|Pclass|Name                                                   |Sex   |Age               |SibSp|Parch|Ticket          |Fare   |Cabin|Embarked|title    |mother|SexIndex|EmbarkedIndex|titleIndex|SurvivedIndex|Features                                              |rawPrediction                          |probability                             |prediction|
  //    +-----------+--------+------+-------------------------------------------------------+------+------------------+-----+-----+----------------+-------+-----+--------+---------+------+--------+-------------+----------+-------------+------------------------------------------------------+---------------------------------------+----------------------------------------+----------+
  //    |1          |0       |3     |Braund, Mr. Owen Harris                                |male  |22.0              |1    |0    |A/5 21171       |7.25   |null |S       |Mr       |0     |0.0     |0.0          |0.0       |0.0          |(9,[4,5,6,7],[3.0,22.0,7.25,1.0])                     |[45.092430520982006,4.907569479017978] |[0.9018486104196404,0.09815138958035959]|0.0       |
  //      |2          |1       |1     |Cumings, Mrs. John Bradley (Florence Briggs Thayer)    |female|38.0              |1    |0    |PC 17599        |71.2833|C85  |C       |Mr       |0     |1.0     |1.0          |0.0       |1.0          |[1.0,1.0,0.0,0.0,1.0,38.0,71.2833,1.0,0.0]            |[6.04311802019773,43.95688197980227]   |[0.12086236040395461,0.8791376395960454]|1.0       |
  //      |3          |1       |3     |Heikkinen, Miss. Laina                                 |female|26.0              |0    |0    |STON/O2. 3101282|7.925  |null |S       |Miss     |0     |1.0     |0.0          |1.0       |1.0          |[1.0,0.0,1.0,0.0,3.0,26.0,7.925,0.0,0.0]              |[19.06715968377948,30.93284031622052]  |[0.3813431936755896,0.6186568063244104] |1.0       |
  //      |4          |1       |1     |Futrelle, Mrs. Jacques Heath (Lily May Peel)           |female|35.0              |1    |0    |113803          |53.1   |C123 |S       |Mr       |0     |1.0     |0.0          |0.0       |1.0          |[1.0,0.0,0.0,0.0,1.0,35.0,53.1,1.0,0.0]               |[6.943773053856348,43.056226946143646] |[0.13887546107712698,0.861124538922873] |1.0       |
  //      |5          |0       |3     |Allen, Mr. William Henry                               |male  |35.0              |0    |0    |373450          |8.05   |null |S       |Mr       |0     |0.0     |0.0          |0.0       |0.0          |(9,[4,5,6],[3.0,35.0,8.05])                           |[44.11299708243986,5.8870029175601335] |[0.8822599416487974,0.11774005835120269]|0.0       |
  //      |6          |0       |3     |Moran, Mr. James                                       |male  |30.020306859205775|0    |0    |330877          |8.4583 |null |Q       |Mr       |0     |0.0     |2.0          |0.0       |0.0          |(9,[1,4,5,6],[2.0,3.0,30.020306859205775,8.4583])     |[44.20281939314409,5.797180606855912]  |[0.8840563878628818,0.11594361213711825]|0.0       |
      // 10.3获取auc面积值
      val auc: Double = evaluator.evaluate(resutl)
  
      // 10.4 将预测的结果打印出来。
      println(auc)
      //0.9034813946270305
    }
  }
  
  

train.csv

PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
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76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
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106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S
107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S
108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S
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110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q
111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S
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114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S
115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C
116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S
117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q
118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S
119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C
120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S
121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S
122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S
123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C
124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S
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128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S
129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C
130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S
131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C
132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S
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143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S
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148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S
149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S
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156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C
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160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S
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164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S
165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S
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177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S
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180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S
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188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S
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191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S
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214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S
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216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C
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245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C
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255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S
256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C
257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C
258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S
259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C
260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S
261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q
262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S
263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S
264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S
265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q
266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S
267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S
268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S
269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S
270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S
271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S
272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S
273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S
274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C
275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q
276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S
277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S
278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S
279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q
280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S
281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q
282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S
283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S
284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S
285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S
286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C
287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S
288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S
289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S
290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q
291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S
292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C
293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C
294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S
295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S
296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C
297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C
298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S
299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S
300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C
301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q
302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q
303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S
304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q
305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S
306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S
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308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C
309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C
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311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C
312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C
313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S
314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S
315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S
316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S
317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S
318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S
319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S
320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C
321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S
322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S
323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q
324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S
325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S
326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C
327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S
328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S
329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S
330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C
331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q
332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S
333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S
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335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S
336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S
337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S
338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C
339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S
340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S
341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S
342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S
343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S
344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S
345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S
346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S
347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S
348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S
349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S
350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S
351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S
352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S
353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C
354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S
355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C
356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S
357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S
358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S
359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q
360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q
361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S
362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C
363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C
364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S
365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q
366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S
367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C
368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C
369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q
370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C
371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C
372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S
373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S
374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C
375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S
376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C
377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S
378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C
379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C
380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S
381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C
382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C
383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S
384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S
385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S
386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S
387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S
388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S
389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q
390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C
391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S
392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S
393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S
394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C
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396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S
397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S
398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S
399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S
400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S
401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S
402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S
403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S
404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S
405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S
406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S
407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S
408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S
409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S
410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S
411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S
412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q
413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q
414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S
415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S
416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S
417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S
418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S
419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S
420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S
421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C
422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q
423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S
424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S
425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S
426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S
427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S
428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S
429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q
430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S
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434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S
435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S
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437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S
438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S
439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S
440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S
441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S
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446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S
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474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C
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479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S
480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S
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499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S
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503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q
504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S
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509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S
510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S
511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q
512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S
513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S
514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C
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519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S
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530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S
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534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C
535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S
536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S
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538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C
539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S
540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C
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543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S
544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S
545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C
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549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S
550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S
551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C
552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S
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555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S
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557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C
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560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S
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562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S
563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S
564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S
565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S
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570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S
571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S
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573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S
574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q
575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S
576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S
577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S
578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S
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580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S
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583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S
584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C
585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C
586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S
587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S
588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C
589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S
590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S
591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S
592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C
593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S
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595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S
596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S
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601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S
602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S
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605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C
606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S
607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S
608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S
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612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S
613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q
614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q
615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S
616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S
617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S
618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S
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620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S
621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C
622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S
623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C
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625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S
626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S
627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q
628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S
629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S
630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q
631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S
632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S
633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C
634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S
635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S
636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S
637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S
638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S
639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S
640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S
641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S
642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C
643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S
644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S
645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C
646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C
647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S
648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C
649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S
650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S
651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S
652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S
653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S
654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q
655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q
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657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S
658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q
659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S
660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C
661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S
662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C
663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S
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665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S
666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S
667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S
668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S
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670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S
671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S
672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S
673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S
674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S
675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S
676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S
677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S
678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S
679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S
680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C
681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q
682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C
683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S
684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S
685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S
686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C
687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S
688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S
689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S
690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S
691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S
692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C
693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S
694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C
695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S
696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S
697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S
698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q
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test.csv

PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S
701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C
702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S
703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C
704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q
705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S
706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S
707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S
708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S
709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S
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