devbox
AllinToyou
这个屌丝很懒，什么也没留下！
关注作者
热门标签
热门文章
当前位置:   article > 正文

决策树算法(三)_res=estimator.predict()

作者：AllinToyou | 2024-03-29 03:12:13

赞

踩

res=estimator.predict()

日萌社

人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）

决策树算法(一)

决策树算法(二)

决策树算法(三)

决策树算法(四)

4.6 案例：泰坦尼克号乘客生存预测

1 案例背景

泰坦尼克号沉没是历史上最臭名昭着的沉船之一。1912年4月15日，在她的处女航中，泰坦尼克号在与冰山相撞后沉没，在2224名乘客和机组人员中造成1502人死亡。这场耸人听闻的悲剧震惊了国际社会，并为船舶制定了更好的安全规定。 造成海难失事的原因之一是乘客和机组人员没有足够的救生艇。尽管幸存下沉有一些运气因素，但有些人比其他人更容易生存，例如妇女，儿童和上流社会。 在这个案例中，我们要求您完成对哪些人可能存活的分析。特别是，我们要求您运用机器学习工具来预测哪些乘客幸免于悲剧。

案例：https://www.kaggle.com/c/titanic/overview

我们提取到的数据集中的特征包括票的类别，是否存活，乘坐班次，年龄，登陆home.dest，房间，船和性别等。

数据：http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/titanic.txt

经过观察数据得到:

  • 1 乘坐班是指乘客班（1，2，3），是社会经济阶层的代表。

  • 2 其中age数据存在缺失。

2 步骤分析

  • 1.获取数据
  • 2.数据基本处理
    • 2.1 确定特征值,目标值
    • 2.2 缺失值处理
    • 2.3 数据集划分
  • 3.特征工程(字典特征抽取)
  • 4.机器学习(决策树)
  • 5.模型评估

3 代码实现

  • 导入需要的模块
  1. import pandas as pd
  2. import numpy as np
  3. from sklearn.feature_extraction import DictVectorizer
  4. from sklearn.model_selection import train_test_split
  5. from sklearn.tree import DecisionTreeClassifier, export_graphviz
  • 1.获取数据
  1. # 1、获取数据
  2. titan = pd.read_csv("http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/titanic.txt")

  • 2.数据基本处理

    • 2.1 确定特征值,目标值
    1. x = titan[["pclass", "age", "sex"]]
    2. y = titan["survived"]
    • 2.2 缺失值处理
    1. # 缺失值需要处理，将特征当中有类别的这些特征进行字典特征抽取
    2. x['age'].fillna(x['age'].mean(), inplace=True)
    • 2.3 数据集划分
    x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=22)

  • 3.特征工程(字典特征抽取)

特征中出现类别符号，需要进行one-hot编码处理(DictVectorizer)

x.to_dict(orient="records") 需要将数组特征转换成字典数据

  1. # 对于x转换成字典数据x.to_dict(orient="records")
  2. # [{"pclass": "1st", "age": 29.00, "sex": "female"}, {}]
  3.  
  4. transfer = DictVectorizer(sparse=False)
  5.  
  6. x_train = transfer.fit_transform(x_train.to_dict(orient="records"))
  7. x_test = transfer.fit_transform(x_test.to_dict(orient="records"))
  • 4.决策树模型训练和模型评估

决策树API当中，如果没有指定max_depth那么会根据信息熵的条件直到最终结束。这里我们可以指定树的深度来进行限制树的大小

  1. # 4.机器学习(决策树)
  2. estimator = DecisionTreeClassifier(criterion="entropy", max_depth=5)
  3. estimator.fit(x_train, y_train)
  4.  
  5. # 5.模型评估
  6. estimator.score(x_test, y_test)
  7.  
  8. estimator.predict(x_test)

决策树的结构是可以直接显示

4 决策树可视化

4.1 保存树的结构到dot文件

  • sklearn.tree.export_graphviz() 该函数能够导出DOT格式
    • tree.export_graphviz(estimator,out_file='tree.dot’,feature_names=[‘’,’’])
export_graphviz(estimator, out_file="./data/tree.dot", feature_names=['age', 'pclass=1st', 'pclass=2nd', 'pclass=3rd', '女性', '男性'])

dot文件当中的内容如下

  1. digraph Tree {
  2. node [shape=box] ;
  3. 0 [label="petal length (cm) <= 2.45\nentropy = 1.584\nsamples = 112\nvalue = [39, 37, 36]"] ;
  4. 1 [label="entropy = 0.0\nsamples = 39\nvalue = [39, 0, 0]"] ;
  5. 0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
  6. 2 [label="petal width (cm) <= 1.75\nentropy = 1.0\nsamples = 73\nvalue = [0, 37, 36]"] ;
  7. 0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
  8. 3 [label="petal length (cm) <= 5.05\nentropy = 0.391\nsamples = 39\nvalue = [0, 36, 3]"] ;
  9. 2 -> 3 ;
  10. 4 [label="sepal length (cm) <= 4.95\nentropy = 0.183\nsamples = 36\nvalue = [0, 35, 1]"] ;
  11. 3 -> 4 ;
  12. 5 [label="petal length (cm) <= 3.9\nentropy = 1.0\nsamples = 2\nvalue = [0, 1, 1]"] ;
  13. 4 -> 5 ;
  14. 6 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;
  15. 5 -> 6 ;
  16. 7 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 0, 1]"] ;
  17. 5 -> 7 ;
  18. 8 [label="entropy = 0.0\nsamples = 34\nvalue = [0, 34, 0]"] ;
  19. 4 -> 8 ;
  20. 9 [label="petal width (cm) <= 1.55\nentropy = 0.918\nsamples = 3\nvalue = [0, 1, 2]"] ;
  21. 3 -> 9 ;
  22. 10 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 0, 2]"] ;
  23. 9 -> 10 ;
  24. 11 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;
  25. 9 -> 11 ;
  26. 12 [label="petal length (cm) <= 4.85\nentropy = 0.191\nsamples = 34\nvalue = [0, 1, 33]"] ;
  27. 2 -> 12 ;
  28. 13 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1, 0]"] ;
  29. 12 -> 13 ;
  30. 14 [label="entropy = 0.0\nsamples = 33\nvalue = [0, 0, 33]"] ;
  31. 12 -> 14 ;
  32. }

那么这个结构不能看清结构，所以可以在一个网站上显示

4.2 网站显示结构

5 决策树总结

  • 优点：
    • 简单的理解和解释，树木可视化。
  • 缺点：
    • 决策树学习者可以创建不能很好地推广数据的过于复杂的树,容易发生过拟合。
  • 改进：
    • 减枝cart算法
    • 随机森林（集成学习的一种）

注：企业重要决策，由于决策树很好的分析能力，在决策过程应用较多， 可以选择特征

6 小结

  • 案例流程分析【了解】
    • 1.获取数据
    • 2.数据基本处理
      • 2.1 确定特征值,目标值
      • 2.2 缺失值处理
      • 2.3 数据集划分
    • 3.特征工程(字典特征抽取)
    • 4.机器学习(决策树)
    • 5.模型评估
  • 决策树可视化【了解】
    • sklearn.tree.export_graphviz()
  • 决策树优缺点总结【知道】
    • 优点：
      • 简单的理解和解释，树木可视化。
    • 缺点：
      • 决策树学习者可以创建不能很好地推广数据的过于复杂的树,容易发生过拟合。
    • 改进：
      • 减枝cart算法
      • 随机森林（集成学习的一种）

In [1]:

# 1.获取数据
# 2.数据基本处理
# 2.1 确定特征值,目标值
# 2.2 缺失值处理
# 2.3 数据集划分
# 3.特征工程(字典特征抽取)
# 4.机器学习(决策树)
# 5.模型评估

In [2]:

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction import DictVectorizer
from sklearn.tree import DecisionTreeClassifier, export_graphviz

In [3]:

# 1.获取数据
titan = pd.read_csv("http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/titanic.txt")

In [4]:

titan

Out[4]:

row.namespclasssurvivednameageembarkedhome.destroomticketboatsex
011st1Allen, Miss Elisabeth Walton29.0000SouthamptonSt Louis, MOB-524160 L2212female
121st0Allison, Miss Helen Loraine2.0000SouthamptonMontreal, PQ / Chesterville, ONC26NaNNaNfemale
231st0Allison, Mr Hudson Joshua Creighton30.0000SouthamptonMontreal, PQ / Chesterville, ONC26NaN(135)male
341st0Allison, Mrs Hudson J.C. (Bessie Waldo Daniels)25.0000SouthamptonMontreal, PQ / Chesterville, ONC26NaNNaNfemale
451st1Allison, Master Hudson Trevor0.9167SouthamptonMontreal, PQ / Chesterville, ONC22NaN11male
561st1Anderson, Mr Harry47.0000SouthamptonNew York, NYE-12NaN3male
671st1Andrews, Miss Kornelia Theodosia63.0000SouthamptonHudson, NYD-713502 L7710female
781st0Andrews, Mr Thomas, jr39.0000SouthamptonBelfast, NIA-36NaNNaNmale
891st1Appleton, Mrs Edward Dale (Charlotte Lamson)58.0000SouthamptonBayside, Queens, NYC-101NaN2female
9101st0Artagaveytia, Mr Ramon71.0000CherbourgMontevideo, UruguayNaNNaN(22)male
10111st0Astor, Colonel John Jacob47.0000CherbourgNew York, NYNaN17754 L224 10s 6d(124)male
11121st1Astor, Mrs John Jacob (Madeleine Talmadge Force)19.0000CherbourgNew York, NYNaN17754 L224 10s 6d4female
12131st1Aubert, Mrs Leontine PaulineNaNCherbourgParis, FranceB-3517477 L69 6s9female
13141st1Barkworth, Mr Algernon H.NaNSouthamptonHessle, YorksA-23NaNBmale
14151st0Baumann, Mr John D.NaNSouthamptonNew York, NYNaNNaNNaNmale
15161st1Baxter, Mrs James (Helene DeLaudeniere Chaput)50.0000CherbourgMontreal, PQB-58/60NaN6female
16171st0Baxter, Mr Quigg Edmond24.0000CherbourgMontreal, PQB-58/60NaNNaNmale
17181st0Beattie, Mr Thomson36.0000CherbourgWinnipeg, MNC-6NaNNaNmale
18191st1Beckwith, Mr Richard Leonard37.0000SouthamptonNew York, NYD-35NaN5male
19201st1Beckwith, Mrs Richard Leonard (Sallie Monypeny)47.0000SouthamptonNew York, NYD-35NaN5female
20211st1Behr, Mr Karl Howell26.0000CherbourgNew York, NYC-148NaN5male
21221st0Birnbaum, Mr Jakob25.0000CherbourgSan Francisco, CANaNNaN(148)male
22231st1Bishop, Mr Dickinson H.25.0000CherbourgDowagiac, MIB-49NaN7male
23241st1Bishop, Mrs Dickinson H. (Helen Walton)19.0000CherbourgDowagiac, MIB-49NaN7female
24251st1Bjornstrm-Steffansson, Mr Mauritz Hakan28.0000SouthamptonStockholm, Sweden / Washington, DCNaNDmale
25261st0Blackwell, Mr Stephen Weart45.0000SouthamptonTrenton, NJNaNNaN(241)male
26271st1Blank, Mr Henry39.0000CherbourgGlen Ridge, NJA-31NaN7male
27281st1Bonnell, Miss Caroline30.0000SouthamptonYoungstown, OHC-7NaN8female
28291st1Bonnell, Miss Elizabeth58.0000SouthamptonBirkdale, England Cleveland, OhioC-103NaN8female
29301st0Borebank, Mr John JamesNaNSouthamptonLondon / Winnipeg, MBD-21/2NaNNaNmale
....................................
128312843rd0Vestrom, Miss Hulda Amanda AdolfinaNaNNaNNaNNaNNaNNaNfemale
128412853rd0Vonk, Mr JenkoNaNNaNNaNNaNNaNNaNmale
128512863rd0Ware, Mr FrederickNaNNaNNaNNaNNaNNaNmale
128612873rd0Warren, Mr Charles WilliamNaNNaNNaNNaNNaNNaNmale
128712883rd0Wazli, Mr YousifNaNNaNNaNNaNNaNNaNmale
128812893rd0Webber, Mr JamesNaNNaNNaNNaNNaNNaNmale
128912903rd1Wennerstrom, Mr August EdvardNaNNaNNaNNaNNaNNaNmale
129012913rd0Wenzel, Mr LinhartNaNNaNNaNNaNNaNNaNmale
129112923rd0Widegren, Mr Charles PeterNaNNaNNaNNaNNaNNaNmale
129212933rd0Wiklund, Mr Jacob AlfredNaNNaNNaNNaNNaNNaNmale
129312943rd1Wilkes, Mrs EllenNaNNaNNaNNaNNaNNaNfemale
129412953rd0Willer, Mr AaronNaNNaNNaNNaNNaNNaNmale
129512963rd0Willey, Mr EdwardNaNNaNNaNNaNNaNNaNmale
129612973rd0Williams, Mr Howard HughNaNNaNNaNNaNNaNNaNmale
129712983rd0Williams, Mr LeslieNaNNaNNaNNaNNaNNaNmale
129812993rd0Windelov, Mr EinarNaNNaNNaNNaNNaNNaNmale
129913003rd0Wirz, Mr AlbertNaNNaNNaNNaNNaNNaNmale
130013013rd0Wiseman, Mr PhillippeNaNNaNNaNNaNNaNNaNmale
130113023rd0Wittevrongel, Mr CamielNaNNaNNaNNaNNaNNaNmale
130213033rd1Yalsevac, Mr IvanNaNNaNNaNNaNNaNNaNmale
130313043rd0Yasbeck, Mr AntoniNaNNaNNaNNaNNaNNaNmale
130413053rd1Yasbeck, Mrs AntoniNaNNaNNaNNaNNaNNaNfemale
130513063rd0Youssef, Mr GeriosNaNNaNNaNNaNNaNNaNmale
130613073rd0Zabour, Miss HileniNaNNaNNaNNaNNaNNaNfemale
130713083rd0Zabour, Miss TaminiNaNNaNNaNNaNNaNNaNfemale
130813093rd0Zakarian, Mr ArtunNaNNaNNaNNaNNaNNaNmale
130913103rd0Zakarian, Mr MapriederNaNNaNNaNNaNNaNNaNmale
131013113rd0Zenn, Mr PhilipNaNNaNNaNNaNNaNNaNmale
131113123rd0Zievens, ReneNaNNaNNaNNaNNaNNaNfemale
131213133rd0Zimmerman, LeoNaNNaNNaNNaNNaNNaNmale

1313 rows × 11 columns

In [5]:

titan.describe()

Out[5]:

row.namessurvivedage
count1313.0000001313.000000633.000000
mean657.0000000.34196531.194181
std379.1747620.47454914.747525
min1.0000000.0000000.166700
25%329.0000000.00000021.000000
50%657.0000000.00000030.000000
75%985.0000001.00000041.000000
max1313.0000001.00000071.000000

In [6]:

# 2.数据基本处理
# 2.1 确定特征值,目标值
x = titan[["pclass", "age", "sex"]]
y = titan["survived"]

In [7]:

x.head()

Out[7]:

pclassagesex
01st29.0000female
11st2.0000female
21st30.0000male
31st25.0000female
41st0.9167male

In [8]:

y.head()

Out[8]:

  1. 0    1
  2. 1    0
  3. 2    0
  4. 3    0
  5. 4    1
  6. Name: survived, dtype: int64

In [9]:

# 2.2 缺失值处理
x['age'].fillna(value=titan["age"].mean(), inplace=True)

In [10]:

x.head()

Out[10]:

pclassagesex
01st29.0000female
11st2.0000female
21st30.0000male
31st25.0000female
41st0.9167male

In [11]:

# 2.3 数据集划分
x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=22, test_size=0.2)

In [12]:

# 3.特征工程(字典特征抽取)

In [13]:

x_train.head()

Out[13]:

pclassagesex
6493rd45.000000female
10783rd31.194181male
591st31.194181female
2011st18.000000male
611st31.194181female

In [14]:

x_train = x_train.to_dict(orient="records")
x_test = x_test.to_dict(orient="records")

In [15]:

x_train

Out[15]:

  1. [{'pclass': '3rd', 'age': 45.0, 'sex': 'female'},
  2.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  3.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  4.  {'pclass': '1st', 'age': 18.0, 'sex': 'male'},
  5.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  6.  {'pclass': '3rd', 'age': 6.0, 'sex': 'male'},
  7.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  8.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  9.  {'pclass': '3rd', 'age': 27.0, 'sex': 'female'},
  10.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  11.  {'pclass': '2nd', 'age': 21.0, 'sex': 'male'},
  12.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  13.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  14.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  15.  {'pclass': '2nd', 'age': 4.0, 'sex': 'female'},
  16.  {'pclass': '1st', 'age': 31.0, 'sex': 'male'},
  17.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  18.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  19.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  20.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  21.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  22.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  23.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  24.  {'pclass': '3rd', 'age': 13.0, 'sex': 'male'},
  25.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  26.  {'pclass': '3rd', 'age': 30.0, 'sex': 'male'},
  27.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  28.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  29.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  30.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  31.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  32.  {'pclass': '1st', 'age': 30.0, 'sex': 'female'},
  33.  {'pclass': '2nd', 'age': 50.0, 'sex': 'female'},
  34.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  35.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  36.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  37.  {'pclass': '1st', 'age': 22.0, 'sex': 'female'},
  38.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  39.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  40.  {'pclass': '1st', 'age': 49.0, 'sex': 'male'},
  41.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  42.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  43.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  44.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  45.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  46.  {'pclass': '1st', 'age': 62.0, 'sex': 'male'},
  47.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  48.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  49.  {'pclass': '3rd', 'age': 32.0, 'sex': 'female'},
  50.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  51.  {'pclass': '1st', 'age': 64.0, 'sex': 'female'},
  52.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  53.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  54.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  55.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  56.  {'pclass': '1st', 'age': 55.0, 'sex': 'male'},
  57.  {'pclass': '3rd', 'age': 24.0, 'sex': 'male'},
  58.  {'pclass': '1st', 'age': 6.0, 'sex': 'male'},
  59.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  60.  {'pclass': '3rd', 'age': 10.0, 'sex': 'female'},
  61.  {'pclass': '1st', 'age': 53.0, 'sex': 'female'},
  62.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  63.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  64.  {'pclass': '2nd', 'age': 18.0, 'sex': 'male'},
  65.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  66.  {'pclass': '2nd', 'age': 36.0, 'sex': 'female'},
  67.  {'pclass': '1st', 'age': 19.0, 'sex': 'male'},
  68.  {'pclass': '1st', 'age': 28.0, 'sex': 'male'},
  69.  {'pclass': '1st', 'age': 17.0, 'sex': 'male'},
  70.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  71.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  72.  {'pclass': '3rd', 'age': 21.0, 'sex': 'female'},
  73.  {'pclass': '1st', 'age': 25.0, 'sex': 'female'},
  74.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  75.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  76.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  77.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  78.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  79.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  80.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  81.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  82.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  83.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  84.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  85.  {'pclass': '1st', 'age': 21.0, 'sex': 'female'},
  86.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  87.  {'pclass': '2nd', 'age': 48.0, 'sex': 'male'},
  88.  {'pclass': '2nd', 'age': 27.0, 'sex': 'male'},
  89.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  90.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  91.  {'pclass': '1st', 'age': 46.0, 'sex': 'male'},
  92.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  93.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  94.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  95.  {'pclass': '2nd', 'age': 29.0, 'sex': 'female'},
  96.  {'pclass': '1st', 'age': 35.0, 'sex': 'male'},
  97.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  98.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  99.  {'pclass': '3rd', 'age': 38.0, 'sex': 'male'},
  100.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  101.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  102.  {'pclass': '2nd', 'age': 32.0, 'sex': 'male'},
  103.  {'pclass': '1st', 'age': 16.0, 'sex': 'female'},
  104.  {'pclass': '2nd', 'age': 30.0, 'sex': 'female'},
  105.  {'pclass': '2nd', 'age': 18.0, 'sex': 'female'},
  106.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  107.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  108.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  109.  {'pclass': '3rd', 'age': 16.0, 'sex': 'male'},
  110.  {'pclass': '1st', 'age': 33.0, 'sex': 'female'},
  111.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  112.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  113.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  114.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  115.  {'pclass': '3rd', 'age': 17.0, 'sex': 'male'},
  116.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  117.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  118.  {'pclass': '2nd', 'age': 18.0, 'sex': 'male'},
  119.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  120.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  121.  {'pclass': '3rd', 'age': 30.0, 'sex': 'male'},
  122.  {'pclass': '2nd', 'age': 20.0, 'sex': 'male'},
  123.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  124.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  125.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  126.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  127.  {'pclass': '3rd', 'age': 33.0, 'sex': 'female'},
  128.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  129.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  130.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  131.  {'pclass': '1st', 'age': 52.0, 'sex': 'female'},
  132.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  133.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  134.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  135.  {'pclass': '3rd', 'age': 35.0, 'sex': 'male'},
  136.  {'pclass': '2nd', 'age': 25.0, 'sex': 'male'},
  137.  {'pclass': '2nd', 'age': 45.0, 'sex': 'female'},
  138.  {'pclass': '2nd', 'age': 50.0, 'sex': 'female'},
  139.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  140.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  141.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  142.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  143.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  144.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  145.  {'pclass': '1st', 'age': 52.0, 'sex': 'male'},
  146.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  147.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  148.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  149.  {'pclass': '2nd', 'age': 20.0, 'sex': 'female'},
  150.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  151.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  152.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  153.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  154.  {'pclass': '2nd', 'age': 32.0, 'sex': 'female'},
  155.  {'pclass': '2nd', 'age': 34.0, 'sex': 'female'},
  156.  {'pclass': '3rd', 'age': 33.0, 'sex': 'female'},
  157.  {'pclass': '3rd', 'age': 21.0, 'sex': 'male'},
  158.  {'pclass': '3rd', 'age': 45.0, 'sex': 'female'},
  159.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  160.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  161.  {'pclass': '1st', 'age': 43.0, 'sex': 'female'},
  162.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  163.  {'pclass': '3rd', 'age': 59.0, 'sex': 'male'},
  164.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  165.  {'pclass': '1st', 'age': 47.0, 'sex': 'female'},
  166.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  167.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  168.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  169.  {'pclass': '3rd', 'age': 38.0, 'sex': 'male'},
  170.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  171.  {'pclass': '2nd', 'age': 51.0, 'sex': 'male'},
  172.  {'pclass': '3rd', 'age': 36.0, 'sex': 'male'},
  173.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  174.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  175.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  176.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  177.  {'pclass': '3rd', 'age': 6.0, 'sex': 'female'},
  178.  {'pclass': '1st', 'age': 58.0, 'sex': 'female'},
  179.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  180.  {'pclass': '3rd', 'age': 4.0, 'sex': 'male'},
  181.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  182.  {'pclass': '2nd', 'age': 20.0, 'sex': 'male'},
  183.  {'pclass': '3rd', 'age': 35.0, 'sex': 'male'},
  184.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  185.  {'pclass': '2nd', 'age': 12.0, 'sex': 'female'},
  186.  {'pclass': '2nd', 'age': 19.0, 'sex': 'male'},
  187.  {'pclass': '1st', 'age': 64.0, 'sex': 'male'},
  188.  {'pclass': '1st', 'age': 27.0, 'sex': 'female'},
  189.  {'pclass': '2nd', 'age': 34.0, 'sex': 'male'},
  190.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  191.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  192.  {'pclass': '3rd', 'age': 18.0, 'sex': 'male'},
  193.  {'pclass': '1st', 'age': 48.0, 'sex': 'female'},
  194.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  195.  {'pclass': '2nd', 'age': 50.0, 'sex': 'male'},
  196.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  197.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  198.  {'pclass': '3rd', 'age': 18.0, 'sex': 'female'},
  199.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  200.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  201.  {'pclass': '3rd', 'age': 34.0, 'sex': 'male'},
  202.  {'pclass': '2nd', 'age': 21.0, 'sex': 'female'},
  203.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  204.  {'pclass': '1st', 'age': 44.0, 'sex': 'female'},
  205.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  206.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  207.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  208.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  209.  {'pclass': '1st', 'age': 39.0, 'sex': 'male'},
  210.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  211.  {'pclass': '1st', 'age': 42.0, 'sex': 'male'},
  212.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  213.  {'pclass': '1st', 'age': 69.0, 'sex': 'female'},
  214.  {'pclass': '2nd', 'age': 2.0, 'sex': 'female'},
  215.  {'pclass': '2nd', 'age': 22.0, 'sex': 'male'},
  216.  {'pclass': '1st', 'age': 47.0, 'sex': 'male'},
  217.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  218.  {'pclass': '2nd', 'age': 22.0, 'sex': 'female'},
  219.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  220.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  221.  {'pclass': '3rd', 'age': 42.0, 'sex': 'male'},
  222.  {'pclass': '1st', 'age': 21.0, 'sex': 'male'},
  223.  {'pclass': '2nd', 'age': 48.0, 'sex': 'male'},
  224.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  225.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  226.  {'pclass': '3rd', 'age': 45.0, 'sex': 'male'},
  227.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  228.  {'pclass': '1st', 'age': 45.0, 'sex': 'male'},
  229.  {'pclass': '3rd', 'age': 39.0, 'sex': 'male'},
  230.  {'pclass': '1st', 'age': 14.0, 'sex': 'female'},
  231.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  232.  {'pclass': '3rd', 'age': 30.0, 'sex': 'female'},
  233.  {'pclass': '3rd', 'age': 32.0, 'sex': 'male'},
  234.  {'pclass': '2nd', 'age': 54.0, 'sex': 'male'},
  235.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  236.  {'pclass': '3rd', 'age': 36.0, 'sex': 'female'},
  237.  {'pclass': '1st', 'age': 47.0, 'sex': 'male'},
  238.  {'pclass': '2nd', 'age': 0.8333, 'sex': 'male'},
  239.  {'pclass': '1st', 'age': 53.0, 'sex': 'female'},
  240.  {'pclass': '3rd', 'age': 24.0, 'sex': 'female'},
  241.  {'pclass': '1st', 'age': 37.0, 'sex': 'male'},
  242.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  243.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  244.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  245.  {'pclass': '3rd', 'age': 25.0, 'sex': 'male'},
  246.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  247.  {'pclass': '3rd', 'age': 40.0, 'sex': 'male'},
  248.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  249.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  250.  {'pclass': '3rd', 'age': 20.0, 'sex': 'female'},
  251.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  252.  {'pclass': '3rd', 'age': 23.0, 'sex': 'male'},
  253.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  254.  {'pclass': '1st', 'age': 22.0, 'sex': 'female'},
  255.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  256.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  257.  {'pclass': '2nd', 'age': 29.0, 'sex': 'male'},
  258.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  259.  {'pclass': '1st', 'age': 55.0, 'sex': 'female'},
  260.  {'pclass': '2nd', 'age': 26.0, 'sex': 'male'},
  261.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  262.  {'pclass': '2nd', 'age': 49.0, 'sex': 'female'},
  263.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  264.  {'pclass': '2nd', 'age': 18.0, 'sex': 'male'},
  265.  {'pclass': '2nd', 'age': 24.0, 'sex': 'female'},
  266.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  267.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  268.  {'pclass': '2nd', 'age': 22.0, 'sex': 'female'},
  269.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  270.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  271.  {'pclass': '2nd', 'age': 54.0, 'sex': 'male'},
  272.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  273.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  274.  {'pclass': '1st', 'age': 38.0, 'sex': 'male'},
  275.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  276.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  277.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  278.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  279.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  280.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  281.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  282.  {'pclass': '3rd', 'age': 42.0, 'sex': 'male'},
  283.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  284.  {'pclass': '2nd', 'age': 52.0, 'sex': 'male'},
  285.  {'pclass': '3rd', 'age': 19.0, 'sex': 'female'},
  286.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  287.  {'pclass': '2nd', 'age': 8.0, 'sex': 'male'},
  288.  {'pclass': '2nd', 'age': 57.0, 'sex': 'male'},
  289.  {'pclass': '1st', 'age': 22.0, 'sex': 'female'},
  290.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  291.  {'pclass': '3rd', 'age': 16.0, 'sex': 'female'},
  292.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  293.  {'pclass': '2nd', 'age': 45.0, 'sex': 'female'},
  294.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  295.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  296.  {'pclass': '1st', 'age': 28.0, 'sex': 'female'},
  297.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  298.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  299.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  300.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  301.  {'pclass': '2nd', 'age': 30.0, 'sex': 'female'},
  302.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  303.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  304.  {'pclass': '2nd', 'age': 19.0, 'sex': 'female'},
  305.  {'pclass': '2nd', 'age': 28.0, 'sex': 'male'},
  306.  {'pclass': '1st', 'age': 24.0, 'sex': 'male'},
  307.  {'pclass': '2nd', 'age': 31.0, 'sex': 'male'},
  308.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  309.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  310.  {'pclass': '3rd', 'age': 38.0, 'sex': 'female'},
  311.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  312.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  313.  {'pclass': '3rd', 'age': 36.0, 'sex': 'female'},
  314.  {'pclass': '1st', 'age': 55.0, 'sex': 'male'},
  315.  {'pclass': '2nd', 'age': 25.0, 'sex': 'female'},
  316.  {'pclass': '2nd', 'age': 32.0, 'sex': 'male'},
  317.  {'pclass': '3rd', 'age': 9.0, 'sex': 'male'},
  318.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  319.  {'pclass': '1st', 'age': 29.0, 'sex': 'male'},
  320.  {'pclass': '3rd', 'age': 40.0, 'sex': 'male'},
  321.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  322.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  323.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  324.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  325.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  326.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  327.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  328.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  329.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  330.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  331.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  332.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  333.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  334.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  335.  {'pclass': '1st', 'age': 39.0, 'sex': 'male'},
  336.  {'pclass': '2nd', 'age': 25.0, 'sex': 'male'},
  337.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  338.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  339.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  340.  {'pclass': '2nd', 'age': 49.0, 'sex': 'male'},
  341.  {'pclass': '1st', 'age': 36.0, 'sex': 'female'},
  342.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  343.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  344.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  345.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  346.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  347.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  348.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  349.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  350.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  351.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  352.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  353.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  354.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  355.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  356.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  357.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  358.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  359.  {'pclass': '3rd', 'age': 17.0, 'sex': 'male'},
  360.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  361.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  362.  {'pclass': '3rd', 'age': 24.0, 'sex': 'male'},
  363.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  364.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  365.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  366.  {'pclass': '2nd', 'age': 28.0, 'sex': 'male'},
  367.  {'pclass': '1st', 'age': 40.0, 'sex': 'female'},
  368.  {'pclass': '2nd', 'age': 6.0, 'sex': 'female'},
  369.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  370.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  371.  {'pclass': '2nd', 'age': 17.0, 'sex': 'female'},
  372.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  373.  {'pclass': '2nd', 'age': 34.0, 'sex': 'male'},
  374.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  375.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  376.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  377.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  378.  {'pclass': '2nd', 'age': 41.0, 'sex': 'male'},
  379.  {'pclass': '2nd', 'age': 28.0, 'sex': 'female'},
  380.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  381.  {'pclass': '1st', 'age': 61.0, 'sex': 'male'},
  382.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  383.  {'pclass': '3rd', 'age': 17.0, 'sex': 'female'},
  384.  {'pclass': '2nd', 'age': 3.0, 'sex': 'male'},
  385.  {'pclass': '1st', 'age': 24.0, 'sex': 'male'},
  386.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  387.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  388.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  389.  {'pclass': '3rd', 'age': 30.0, 'sex': 'female'},
  390.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  391.  {'pclass': '1st', 'age': 41.0, 'sex': 'male'},
  392.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  393.  {'pclass': '2nd', 'age': 42.0, 'sex': 'female'},
  394.  {'pclass': '2nd', 'age': 28.0, 'sex': 'male'},
  395.  {'pclass': '1st', 'age': 48.0, 'sex': 'male'},
  396.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  397.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  398.  {'pclass': '1st', 'age': 50.0, 'sex': 'female'},
  399.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  400.  {'pclass': '3rd', 'age': 16.0, 'sex': 'male'},
  401.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  402.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  403.  {'pclass': '1st', 'age': 40.0, 'sex': 'female'},
  404.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  405.  {'pclass': '3rd', 'age': 23.0, 'sex': 'female'},
  406.  {'pclass': '1st', 'age': 34.0, 'sex': 'male'},
  407.  {'pclass': '3rd', 'age': 39.0, 'sex': 'female'},
  408.  {'pclass': '2nd', 'age': 34.0, 'sex': 'male'},
  409.  {'pclass': '2nd', 'age': 22.0, 'sex': 'female'},
  410.  {'pclass': '3rd', 'age': 9.0, 'sex': 'male'},
  411.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  412.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  413.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  414.  {'pclass': '3rd', 'age': 22.0, 'sex': 'male'},
  415.  {'pclass': '3rd', 'age': 30.0, 'sex': 'female'},
  416.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  417.  {'pclass': '1st', 'age': 25.0, 'sex': 'male'},
  418.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  419.  {'pclass': '3rd', 'age': 24.0, 'sex': 'male'},
  420.  {'pclass': '2nd', 'age': 26.0, 'sex': 'female'},
  421.  {'pclass': '1st', 'age': 57.0, 'sex': 'male'},
  422.  {'pclass': '2nd', 'age': 39.0, 'sex': 'male'},
  423.  {'pclass': '1st', 'age': 35.0, 'sex': 'female'},
  424.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  425.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  426.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  427.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  428.  {'pclass': '3rd', 'age': 41.0, 'sex': 'male'},
  429.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  430.  {'pclass': '1st', 'age': 67.0, 'sex': 'male'},
  431.  {'pclass': '3rd', 'age': 11.0, 'sex': 'female'},
  432.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  433.  {'pclass': '2nd', 'age': 22.0, 'sex': 'female'},
  434.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  435.  {'pclass': '2nd', 'age': 20.0, 'sex': 'female'},
  436.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  437.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  438.  {'pclass': '1st', 'age': 50.0, 'sex': 'male'},
  439.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  440.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  441.  {'pclass': '3rd', 'age': 33.0, 'sex': 'male'},
  442.  {'pclass': '2nd', 'age': 36.0, 'sex': 'male'},
  443.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  444.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  445.  {'pclass': '1st', 'age': 48.0, 'sex': 'female'},
  446.  {'pclass': '1st', 'age': 59.0, 'sex': 'female'},
  447.  {'pclass': '2nd', 'age': 25.0, 'sex': 'male'},
  448.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  449.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  450.  {'pclass': '3rd', 'age': 17.0, 'sex': 'male'},
  451.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  452.  {'pclass': '1st', 'age': 45.0, 'sex': 'female'},
  453.  {'pclass': '1st', 'age': 49.0, 'sex': 'male'},
  454.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  455.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  456.  {'pclass': '2nd', 'age': 33.0, 'sex': 'male'},
  457.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  458.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  459.  {'pclass': '2nd', 'age': 46.0, 'sex': 'male'},
  460.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  461.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  462.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  463.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  464.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  465.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  466.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  467.  {'pclass': '1st', 'age': 52.0, 'sex': 'male'},
  468.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  469.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  470.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  471.  {'pclass': '2nd', 'age': 36.0, 'sex': 'female'},
  472.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  473.  {'pclass': '3rd', 'age': 28.0, 'sex': 'male'},
  474.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  475.  {'pclass': '3rd', 'age': 28.0, 'sex': 'male'},
  476.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  477.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  478.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  479.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  480.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  481.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  482.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  483.  {'pclass': '2nd', 'age': 19.0, 'sex': 'female'},
  484.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  485.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  486.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  487.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  488.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  489.  {'pclass': '3rd', 'age': 43.0, 'sex': 'male'},
  490.  {'pclass': '1st', 'age': 31.0, 'sex': 'female'},
  491.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  492.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  493.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  494.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  495.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  496.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  497.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  498.  {'pclass': '1st', 'age': 51.0, 'sex': 'male'},
  499.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  500.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  501.  {'pclass': '2nd', 'age': 3.0, 'sex': 'male'},
  502.  {'pclass': '1st', 'age': 48.0, 'sex': 'female'},
  503.  {'pclass': '2nd', 'age': 48.0, 'sex': 'female'},
  504.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  505.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  506.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  507.  {'pclass': '1st', 'age': 16.0, 'sex': 'female'},
  508.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  509.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  510.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  511.  {'pclass': '2nd', 'age': 44.0, 'sex': 'male'},
  512.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  513.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  514.  {'pclass': '2nd', 'age': 36.0, 'sex': 'female'},
  515.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  516.  {'pclass': '1st', 'age': 37.0, 'sex': 'male'},
  517.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  518.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  519.  {'pclass': '2nd', 'age': 30.0, 'sex': 'female'},
  520.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  521.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  522.  {'pclass': '1st', 'age': 32.0, 'sex': 'male'},
  523.  {'pclass': '1st', 'age': 30.0, 'sex': 'male'},
  524.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  525.  {'pclass': '3rd', 'age': 22.0, 'sex': 'male'},
  526.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  527.  {'pclass': '3rd', 'age': 40.0, 'sex': 'female'},
  528.  {'pclass': '3rd', 'age': 24.0, 'sex': 'male'},
  529.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  530.  {'pclass': '3rd', 'age': 65.0, 'sex': 'male'},
  531.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  532.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  533.  {'pclass': '3rd', 'age': 37.0, 'sex': 'female'},
  534.  {'pclass': '1st', 'age': 52.0, 'sex': 'female'},
  535.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  536.  {'pclass': '3rd', 'age': 23.0, 'sex': 'male'},
  537.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  538.  {'pclass': '2nd', 'age': 0.8333, 'sex': 'male'},
  539.  {'pclass': '2nd', 'age': 35.0, 'sex': 'male'},
  540.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  541.  {'pclass': '2nd', 'age': 26.0, 'sex': 'male'},
  542.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  543.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  544.  {'pclass': '2nd', 'age': 27.0, 'sex': 'male'},
  545.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  546.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  547.  {'pclass': '3rd', 'age': 27.0, 'sex': 'male'},
  548.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  549.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  550.  {'pclass': '2nd', 'age': 41.0, 'sex': 'female'},
  551.  {'pclass': '3rd', 'age': 18.0, 'sex': 'male'},
  552.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  553.  {'pclass': '3rd', 'age': 33.0, 'sex': 'male'},
  554.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  555.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  556.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  557.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  558.  {'pclass': '1st', 'age': 56.0, 'sex': 'male'},
  559.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  560.  {'pclass': '2nd', 'age': 40.0, 'sex': 'male'},
  561.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  562.  {'pclass': '3rd', 'age': 9.0, 'sex': 'female'},
  563.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  564.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  565.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  566.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  567.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  568.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  569.  {'pclass': '1st', 'age': 28.0, 'sex': 'male'},
  570.  {'pclass': '2nd', 'age': 26.0, 'sex': 'male'},
  571.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  572.  {'pclass': '1st', 'age': 30.0, 'sex': 'male'},
  573.  {'pclass': '3rd', 'age': 25.0, 'sex': 'male'},
  574.  {'pclass': '3rd', 'age': 48.0, 'sex': 'female'},
  575.  {'pclass': '1st', 'age': 36.0, 'sex': 'female'},
  576.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  577.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  578.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  579.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  580.  {'pclass': '2nd', 'age': 35.0, 'sex': 'male'},
  581.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  582.  {'pclass': '2nd', 'age': 1.0, 'sex': 'male'},
  583.  {'pclass': '2nd', 'age': 2.0, 'sex': 'male'},
  584.  {'pclass': '2nd', 'age': 32.0, 'sex': 'male'},
  585.  {'pclass': '3rd', 'age': 25.0, 'sex': 'male'},
  586.  {'pclass': '1st', 'age': 29.0, 'sex': 'female'},
  587.  {'pclass': '3rd', 'age': 21.0, 'sex': 'male'},
  588.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  589.  {'pclass': '2nd', 'age': 27.0, 'sex': 'male'},
  590.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  591.  {'pclass': '1st', 'age': 38.0, 'sex': 'female'},
  592.  {'pclass': '2nd', 'age': 28.0, 'sex': 'female'},
  593.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  594.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  595.  {'pclass': '1st', 'age': 0.9167, 'sex': 'male'},
  596.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  597.  {'pclass': '1st', 'age': 39.0, 'sex': 'male'},
  598.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  599.  {'pclass': '3rd', 'age': 9.0, 'sex': 'male'},
  600.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  601.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  602.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  603.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  604.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  605.  {'pclass': '1st', 'age': 45.0, 'sex': 'female'},
  606.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  607.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  608.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  609.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  610.  {'pclass': '2nd', 'age': 20.0, 'sex': 'male'},
  611.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  612.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  613.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  614.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  615.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  616.  {'pclass': '1st', 'age': 36.0, 'sex': 'female'},
  617.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  618.  {'pclass': '2nd', 'age': 14.0, 'sex': 'male'},
  619.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  620.  {'pclass': '1st', 'age': 30.0, 'sex': 'male'},
  621.  {'pclass': '2nd', 'age': 22.0, 'sex': 'male'},
  622.  {'pclass': '1st', 'age': 60.0, 'sex': 'male'},
  623.  {'pclass': '2nd', 'age': 20.0, 'sex': 'male'},
  624.  {'pclass': '1st', 'age': 48.0, 'sex': 'male'},
  625.  {'pclass': '2nd', 'age': 28.0, 'sex': 'female'},
  626.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  627.  {'pclass': '3rd', 'age': 23.0, 'sex': 'male'},
  628.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  629.  {'pclass': '3rd', 'age': 32.0, 'sex': 'male'},
  630.  {'pclass': '1st', 'age': 30.0, 'sex': 'male'},
  631.  {'pclass': '1st', 'age': 46.0, 'sex': 'male'},
  632.  {'pclass': '2nd', 'age': 31.0, 'sex': 'female'},
  633.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  634.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  635.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  636.  {'pclass': '2nd', 'age': 32.0, 'sex': 'male'},
  637.  {'pclass': '1st', 'age': 27.0, 'sex': 'female'},
  638.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  639.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  640.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  641.  {'pclass': '1st', 'age': 61.0, 'sex': 'male'},
  642.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  643.  {'pclass': '1st', 'age': 39.0, 'sex': 'female'},
  644.  {'pclass': '3rd', 'age': 0.1667, 'sex': 'female'},
  645.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  646.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  647.  {'pclass': '2nd', 'age': 15.0, 'sex': 'female'},
  648.  {'pclass': '2nd', 'age': 18.0, 'sex': 'male'},
  649.  {'pclass': '2nd', 'age': 24.0, 'sex': 'male'},
  650.  {'pclass': '1st', 'age': 17.0, 'sex': 'female'},
  651.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  652.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  653.  {'pclass': '2nd', 'age': 42.0, 'sex': 'female'},
  654.  {'pclass': '1st', 'age': 20.0, 'sex': 'female'},
  655.  {'pclass': '1st', 'age': 62.0, 'sex': 'female'},
  656.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  657.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  658.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  659.  {'pclass': '1st', 'age': 49.0, 'sex': 'male'},
  660.  {'pclass': '1st', 'age': 23.0, 'sex': 'female'},
  661.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  662.  {'pclass': '1st', 'age': 33.0, 'sex': 'female'},
  663.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  664.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  665.  {'pclass': '1st', 'age': 45.0, 'sex': 'male'},
  666.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  667.  {'pclass': '1st', 'age': 70.0, 'sex': 'male'},
  668.  {'pclass': '1st', 'age': 31.0, 'sex': 'female'},
  669.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  670.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  671.  {'pclass': '1st', 'age': 37.0, 'sex': 'female'},
  672.  {'pclass': '2nd', 'age': 28.0, 'sex': 'male'},
  673.  {'pclass': '1st', 'age': 54.0, 'sex': 'male'},
  674.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  675.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  676.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  677.  {'pclass': '1st', 'age': 51.0, 'sex': 'female'},
  678.  {'pclass': '1st', 'age': 21.0, 'sex': 'male'},
  679.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  680.  {'pclass': '1st', 'age': 64.0, 'sex': 'male'},
  681.  {'pclass': '2nd', 'age': 29.0, 'sex': 'female'},
  682.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  683.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  684.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  685.  {'pclass': '3rd', 'age': 33.0, 'sex': 'male'},
  686.  {'pclass': '1st', 'age': 50.0, 'sex': 'female'},
  687.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  688.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  689.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  690.  {'pclass': '1st', 'age': 31.0, 'sex': 'male'},
  691.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  692.  {'pclass': '2nd', 'age': 59.0, 'sex': 'male'},
  693.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  694.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  695.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  696.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  697.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  698.  {'pclass': '2nd', 'age': 18.0, 'sex': 'female'},
  699.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  700.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  701.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  702.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  703.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  704.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  705.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  706.  {'pclass': '1st', 'age': 49.0, 'sex': 'male'},
  707.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  708.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  709.  {'pclass': '2nd', 'age': 38.0, 'sex': 'male'},
  710.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  711.  {'pclass': '1st', 'age': 48.0, 'sex': 'female'},
  712.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  713.  {'pclass': '1st', 'age': 54.0, 'sex': 'female'},
  714.  {'pclass': '1st', 'age': 19.0, 'sex': 'female'},
  715.  {'pclass': '3rd', 'age': 3.0, 'sex': 'male'},
  716.  {'pclass': '3rd', 'age': 18.0, 'sex': 'female'},
  717.  {'pclass': '3rd', 'age': 22.0, 'sex': 'female'},
  718.  {'pclass': '2nd', 'age': 34.0, 'sex': 'female'},
  719.  {'pclass': '3rd', 'age': 28.0, 'sex': 'female'},
  720.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  721.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  722.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  723.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  724.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  725.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  726.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  727.  {'pclass': '3rd', 'age': 15.0, 'sex': 'female'},
  728.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  729.  {'pclass': '2nd', 'age': 40.0, 'sex': 'female'},
  730.  {'pclass': '1st', 'age': 46.0, 'sex': 'male'},
  731.  {'pclass': '2nd', 'age': 8.0, 'sex': 'female'},
  732.  {'pclass': '1st', 'age': 63.0, 'sex': 'female'},
  733.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  734.  {'pclass': '3rd', 'age': 43.0, 'sex': 'female'},
  735.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  736.  {'pclass': '3rd', 'age': 16.0, 'sex': 'female'},
  737.  {'pclass': '3rd', 'age': 38.0, 'sex': 'female'},
  738.  {'pclass': '2nd', 'age': 1.0, 'sex': 'male'},
  739.  {'pclass': '2nd', 'age': 35.0, 'sex': 'male'},
  740.  {'pclass': '1st', 'age': 31.0, 'sex': 'male'},
  741.  {'pclass': '1st', 'age': 42.0, 'sex': 'male'},
  742.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  743.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  744.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  745.  {'pclass': '1st', 'age': 38.0, 'sex': 'male'},
  746.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  747.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  748.  {'pclass': '1st', 'age': 17.0, 'sex': 'female'},
  749.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  750.  {'pclass': '1st', 'age': 40.0, 'sex': 'male'},
  751.  {'pclass': '1st', 'age': 4.0, 'sex': 'male'},
  752.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  753.  {'pclass': '2nd', 'age': 29.0, 'sex': 'male'},
  754.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  755.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  756.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  757.  {'pclass': '2nd', 'age': 22.0, 'sex': 'male'},
  758.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  759.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  760.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  761.  {'pclass': '1st', 'age': 57.0, 'sex': 'male'},
  762.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  763.  {'pclass': '1st', 'age': 40.0, 'sex': 'female'},
  764.  {'pclass': '3rd', 'age': 47.0, 'sex': 'male'},
  765.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  766.  {'pclass': '1st', 'age': 37.0, 'sex': 'male'},
  767.  {'pclass': '2nd', 'age': 42.0, 'sex': 'male'},
  768.  {'pclass': '3rd', 'age': 21.0, 'sex': 'male'},
  769.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  770.  {'pclass': '3rd', 'age': 5.0, 'sex': 'female'},
  771.  {'pclass': '1st', 'age': 21.0, 'sex': 'female'},
  772.  {'pclass': '3rd', 'age': 40.0, 'sex': 'male'},
  773.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  774.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  775.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  776.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  777.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  778.  {'pclass': '3rd', 'age': 9.0, 'sex': 'female'},
  779.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  780.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  781.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  782.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  783.  {'pclass': '2nd', 'age': 41.0, 'sex': 'male'},
  784.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  785.  {'pclass': '1st', 'age': 36.0, 'sex': 'female'},
  786.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  787.  {'pclass': '2nd', 'age': 28.0, 'sex': 'male'},
  788.  {'pclass': '1st', 'age': 39.0, 'sex': 'female'},
  789.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  790.  {'pclass': '1st', 'age': 35.0, 'sex': 'female'},
  791.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  792.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  793.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  794.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  795.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  796.  {'pclass': '2nd', 'age': 24.0, 'sex': 'male'},
  797.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  798.  {'pclass': '3rd', 'age': 45.0, 'sex': 'male'},
  799.  {'pclass': '2nd', 'age': 24.0, 'sex': 'male'},
  800.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  801.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  802.  {'pclass': '1st', 'age': 50.0, 'sex': 'female'},
  803.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  804.  {'pclass': '1st', 'age': 56.0, 'sex': 'male'},
  805.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  806.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  807.  {'pclass': '3rd', 'age': 32.0, 'sex': 'male'},
  808.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  809.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  810.  {'pclass': '2nd', 'age': 18.0, 'sex': 'male'},
  811.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  812.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  813.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  814.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  815.  {'pclass': '1st', 'age': 45.0, 'sex': 'male'},
  816.  {'pclass': '3rd', 'age': 22.0, 'sex': 'male'},
  817.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  818.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  819.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  820.  {'pclass': '3rd', 'age': 20.0, 'sex': 'female'},
  821.  {'pclass': '2nd', 'age': 50.0, 'sex': 'female'},
  822.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  823.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  824.  {'pclass': '3rd', 'age': 30.0, 'sex': 'male'},
  825.  {'pclass': '1st', 'age': 24.0, 'sex': 'male'},
  826.  {'pclass': '3rd', 'age': 40.0, 'sex': 'male'},
  827.  {'pclass': '2nd', 'age': 21.0, 'sex': 'male'},
  828.  {'pclass': '2nd', 'age': 52.0, 'sex': 'male'},
  829.  {'pclass': '1st', 'age': 45.0, 'sex': 'male'},
  830.  {'pclass': '1st', 'age': 11.0, 'sex': 'male'},
  831.  {'pclass': '2nd', 'age': 23.0, 'sex': 'female'},
  832.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  833.  {'pclass': '1st', 'age': 26.0, 'sex': 'female'},
  834.  {'pclass': '3rd', 'age': 40.0, 'sex': 'male'},
  835.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  836.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  837.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  838.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  839.  {'pclass': '1st', 'age': 49.0, 'sex': 'male'},
  840.  {'pclass': '1st', 'age': 18.0, 'sex': 'female'},
  841.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  842.  {'pclass': '2nd', 'age': 18.0, 'sex': 'female'},
  843.  {'pclass': '3rd', 'age': 9.0, 'sex': 'male'},
  844.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  845.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  846.  {'pclass': '3rd', 'age': 25.0, 'sex': 'male'},
  847.  {'pclass': '2nd', 'age': 35.0, 'sex': 'female'},
  848.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  849.  {'pclass': '2nd', 'age': 32.0, 'sex': 'female'},
  850.  {'pclass': '2nd', 'age': 21.0, 'sex': 'male'},
  851.  {'pclass': '3rd', 'age': 32.0, 'sex': 'male'},
  852.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  853.  {'pclass': '2nd', 'age': 45.0, 'sex': 'male'},
  854.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  855.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  856.  {'pclass': '1st', 'age': 26.0, 'sex': 'male'},
  857.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  858.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  859.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  860.  {'pclass': '2nd', 'age': 30.0, 'sex': 'female'},
  861.  {'pclass': '2nd', 'age': 21.0, 'sex': 'female'},
  862.  {'pclass': '2nd', 'age': 25.0, 'sex': 'male'},
  863.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  864.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  865.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  866.  {'pclass': '1st', 'age': 27.0, 'sex': 'male'},
  867.  {'pclass': '1st', 'age': 24.0, 'sex': 'female'},
  868.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  869.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  870.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  871.  {'pclass': '1st', 'age': 18.0, 'sex': 'female'},
  872.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  873.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  874.  {'pclass': '1st', 'age': 56.0, 'sex': 'female'},
  875.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  876.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  877.  {'pclass': '3rd', 'age': 16.0, 'sex': 'female'},
  878.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  879.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  880.  {'pclass': '3rd', 'age': 18.0, 'sex': 'female'},
  881.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  882.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  883.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  884.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  885.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  886.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  887.  {'pclass': '1st', 'age': 64.0, 'sex': 'male'},
  888.  {'pclass': '1st', 'age': 46.0, 'sex': 'male'},
  889.  {'pclass': '3rd', 'age': 18.0, 'sex': 'male'},
  890.  {'pclass': '1st', 'age': 46.0, 'sex': 'male'},
  891.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  892.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  893.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  894.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  895.  {'pclass': '3rd', 'age': 29.0, 'sex': 'male'},
  896.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  897.  {'pclass': '2nd', 'age': 18.0, 'sex': 'female'},
  898.  {'pclass': '1st', 'age': 33.0, 'sex': 'male'},
  899.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  900.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  901.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  902.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  903.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  904.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  905.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  906.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  907.  {'pclass': '2nd', 'age': 34.0, 'sex': 'male'},
  908.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  909.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  910.  {'pclass': '3rd', 'age': 0.8333, 'sex': 'male'},
  911.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  912.  {'pclass': '1st', 'age': 58.0, 'sex': 'female'},
  913.  {'pclass': '1st', 'age': 60.0, 'sex': 'female'},
  914.  {'pclass': '3rd', 'age': 23.0, 'sex': 'male'},
  915.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  916.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  917.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'male'},
  918.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  919.  {'pclass': '1st', 'age': 44.0, 'sex': 'female'},
  920.  {'pclass': '3rd', 'age': 31.0, 'sex': 'male'},
  921.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  922.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  923.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  924.  {'pclass': '2nd', 'age': 71.0, 'sex': 'male'},
  925.  {'pclass': '2nd', 'age': 13.0, 'sex': 'female'},
  926.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  927.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  928.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  929.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  930.  {'pclass': '1st', 'age': 58.0, 'sex': 'male'},
  931.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  932.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  933.  {'pclass': '2nd', 'age': 4.0, 'sex': 'female'},
  934.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  935.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  936.  {'pclass': '3rd', 'age': 16.0, 'sex': 'male'},
  937.  {'pclass': '2nd', 'age': 33.0, 'sex': 'female'},
  938.  {'pclass': '1st', 'age': 33.0, 'sex': 'male'},
  939.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  940.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  941.  {'pclass': '1st', 'age': 48.0, 'sex': 'male'},
  942.  {'pclass': '1st', 'age': 28.0, 'sex': 'male'},
  943.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  944.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  945.  {'pclass': '1st', 'age': 55.0, 'sex': 'female'},
  946.  {'pclass': '1st', 'age': 54.0, 'sex': 'male'},
  947.  {'pclass': '1st', 'age': 71.0, 'sex': 'male'},
  948.  {'pclass': '1st', 'age': 47.0, 'sex': 'female'},
  949.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  950.  {'pclass': '2nd', 'age': 21.0, 'sex': 'male'},
  951.  {'pclass': '3rd', 'age': 21.0, 'sex': 'male'},
  952.  {'pclass': '3rd', 'age': 24.0, 'sex': 'male'},
  953.  {'pclass': '1st', 'age': 23.0, 'sex': 'female'},
  954.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  955.  {'pclass': '3rd', 'age': 18.0, 'sex': 'female'},
  956.  {'pclass': '1st', 'age': 54.0, 'sex': 'male'},
  957.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  958.  {'pclass': '3rd', 'age': 17.0, 'sex': 'female'},
  959.  {'pclass': '3rd', 'age': 6.0, 'sex': 'male'},
  960.  {'pclass': '1st', 'age': 45.0, 'sex': 'female'},
  961.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  962.  {'pclass': '2nd', 'age': 36.0, 'sex': 'female'},
  963.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'female'},
  964.  {'pclass': '1st', 'age': 55.0, 'sex': 'male'},
  965.  {'pclass': '3rd', 'age': 26.0, 'sex': 'male'},
  966.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  967.  {'pclass': '1st', 'age': 65.0, 'sex': 'male'},
  968.  {'pclass': '1st', 'age': 27.0, 'sex': 'male'},
  969.  {'pclass': '1st', 'age': 31.19418104265403, 'sex': 'female'},
  970.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  971.  {'pclass': '3rd', 'age': 22.0, 'sex': 'female'},
  972.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  973.  {'pclass': '2nd', 'age': 7.0, 'sex': 'female'},
  974.  {'pclass': '2nd', 'age': 30.0, 'sex': 'male'},
  975.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  976.  {'pclass': '1st', 'age': 39.0, 'sex': 'female'},
  977.  {'pclass': '1st', 'age': 19.0, 'sex': 'female'},
  978.  {'pclass': '3rd', 'age': 19.0, 'sex': 'male'},
  979.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  980.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  981.  {'pclass': '3rd', 'age': 20.0, 'sex': 'male'},
  982.  {'pclass': '1st', 'age': 56.0, 'sex': 'male'},
  983.  {'pclass': '2nd', 'age': 38.0, 'sex': 'female'},
  984.  {'pclass': '2nd', 'age': 23.0, 'sex': 'female'},
  985.  {'pclass': '2nd', 'age': 31.19418104265403, 'sex': 'male'},
  986.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  987.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  988.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  989.  {'pclass': '1st', 'age': 42.0, 'sex': 'male'},
  990.  {'pclass': '2nd', 'age': 23.0, 'sex': 'male'},
  991.  {'pclass': '2nd', 'age': 25.0, 'sex': 'male'},
  992.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  993.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  994.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  995.  {'pclass': '2nd', 'age': 16.0, 'sex': 'male'},
  996.  {'pclass': '2nd', 'age': 42.0, 'sex': 'male'},
  997.  {'pclass': '3rd', 'age': 2.0, 'sex': 'female'},
  998.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'female'},
  999.  {'pclass': '3rd', 'age': 31.19418104265403, 'sex': 'male'},
  1000.  {'pclass': '1st', 'age': 36.0, 'sex': 'male'},
  1001.  ...]

In [16]:

transfer = DictVectorizer()

x_train = transfer.fit_transform(x_train)
x_test = transfer.fit_transform(x_test)

In [17]:

x_test

Out[17]:

  1. <263x6 sparse matrix of type '<class 'numpy.float64'>'
  2. 	with 789 stored elements in Compressed Sparse Row format>

In [18]:

# 4.机器学习(决策树)
estimator = DecisionTreeClassifier(max_depth=15)
estimator.fit(x_train, y_train)

Out[18]:

  1. DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',
  2.                        max_depth=15, max_features=None, max_leaf_nodes=None,
  3.                        min_impurity_decrease=0.0, min_impurity_split=None,
  4.                        min_samples_leaf=1, min_samples_split=2,
  5.                        min_weight_fraction_leaf=0.0, presort='deprecated',
  6.                        random_state=None, splitter='best')

In [19]:

# 5.模型评估
y_pre = estimator.predict(x_test)

In [20]:

y_pre

Out[20]:

  1. array([0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
  2.        0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
  3.        0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
  4.        0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0,
  5.        0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
  6.        1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0,
  7.        0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,
  8.        0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
  9.        1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1,
  10.        0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0,
  11.        1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1,
  12.        1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1])

In [21]:

ret = estimator.score(x_test, y_test)
print(ret)

0.779467680608365

In [22]:

export_graphviz(estimator, out_file="./data/tree.dot", feature_names=['age', 'pclass=1st', 'pclass=2nd', 'pclass=3rd', '女性', '男性'])

In [23]:

# 实例化一个随机森林
from sklearn.ensemble import RandomForestClassifier
rf = RandomForestClassifier()

In [26]:

# 通过超参数调优
from sklearn.model_selection import GridSearchCV

param = {"n_estimators":[100, 120, 300], "max_depth":[3, 7, 11]}

gc = GridSearchCV(rf, param_grid=param, cv=3)

gc.fit(x_train, y_train)

Out[26]:

  1. GridSearchCV(cv=3, error_score=nan,
  2.              estimator=RandomForestClassifier(bootstrap=True, ccp_alpha=0.0,
  3.                                               class_weight=None,
  4.                                               criterion='gini', max_depth=None,
  5.                                               max_features='auto',
  6.                                               max_leaf_nodes=None,
  7.                                               max_samples=None,
  8.                                               min_impurity_decrease=0.0,
  9.                                               min_impurity_split=None,
  10.                                               min_samples_leaf=1,
  11.                                               min_samples_split=2,
  12.                                               min_weight_fraction_leaf=0.0,
  13.                                               n_estimators=100, n_jobs=None,
  14.                                               oob_score=False,
  15.                                               random_state=None, verbose=0,
  16.                                               warm_start=False),
  17.              iid='deprecated', n_jobs=None,
  18.              param_grid={'max_depth': [3, 7, 11],
  19.                          'n_estimators': [100, 120, 300]},
  20.              pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
  21.              scoring=None, verbose=0)

In [27]:

print("随机森林预测结果是:\n", gc.score(x_test, y_test))

  1. 随机森林预测结果是:
  2.  0.779467680608365

声明：本文内容由网友自发贡献，不代表【wpsshop博客】立场，版权归原作者所有，本站不承担相应法律责任。如您发现有侵权的内容，请联系我们。转载请注明出处：https://www.wpsshop.cn/w/AllinToyou/article/detail/333398
推荐阅读
相关标签

Copyright © 2003-2013 www.wpsshop.cn 版权所有，并保留所有权利。

  

闽ICP备14008679号