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!excelR/assignments/Gists/Decision_Tree_Fraud_check.ipynb
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:44.915446Z", | |
| "start_time": "2023-02-26T17:15:44.891526Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "1894d1ec", | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn import tree\nfrom sklearn.metrics import classification_report\nfrom sklearn import preprocessing", | |
| "execution_count": 419, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.040617Z", | |
| "start_time": "2023-02-26T17:15:44.920793Z" | |
| }, | |
| "scrolled": true, | |
| "trusted": false | |
| }, | |
| "id": "bbd945ee", | |
| "cell_type": "code", | |
| "source": "data=pd.read_csv('Fraud_check.csv')\ndata", | |
| "execution_count": 420, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Undergrad</th>\n <th>Marital.Status</th>\n <th>Taxable.Income</th>\n <th>City.Population</th>\n <th>Work.Experience</th>\n <th>Urban</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>NO</td>\n <td>Single</td>\n <td>68833</td>\n <td>50047</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>1</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>33700</td>\n <td>134075</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>2</th>\n <td>NO</td>\n <td>Married</td>\n <td>36925</td>\n <td>160205</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>3</th>\n <td>YES</td>\n <td>Single</td>\n <td>50190</td>\n <td>193264</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>4</th>\n <td>NO</td>\n <td>Married</td>\n <td>81002</td>\n <td>27533</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>5</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>33329</td>\n <td>116382</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>6</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>83357</td>\n <td>80890</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>7</th>\n <td>YES</td>\n <td>Single</td>\n <td>62774</td>\n <td>131253</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>8</th>\n <td>NO</td>\n <td>Single</td>\n <td>83519</td>\n <td>102481</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>9</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>98152</td>\n <td>155482</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>10</th>\n <td>NO</td>\n <td>Single</td>\n <td>29732</td>\n <td>102602</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>11</th>\n <td>NO</td>\n <td>Single</td>\n <td>61063</td>\n <td>94875</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>12</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>11794</td>\n <td>148033</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>13</th>\n <td>NO</td>\n <td>Married</td>\n <td>61830</td>\n <td>86649</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>14</th>\n <td>NO</td>\n <td>Married</td>\n <td>64070</td>\n <td>57529</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>15</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>69869</td>\n <td>107764</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>16</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>24987</td>\n <td>34551</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>17</th>\n <td>YES</td>\n <td>Married</td>\n <td>39476</td>\n <td>57194</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>18</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>97957</td>\n <td>59269</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>19</th>\n <td>NO</td>\n <td>Single</td>\n <td>10987</td>\n <td>126953</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>20</th>\n <td>YES</td>\n <td>Single</td>\n <td>88636</td>\n <td>147222</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>21</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>14310</td>\n <td>29106</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>22</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>78969</td>\n <td>155342</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>23</th>\n <td>NO</td>\n <td>Single</td>\n <td>92040</td>\n <td>50495</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>24</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>38239</td>\n <td>28495</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>25</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>31417</td>\n <td>124606</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>26</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>55299</td>\n <td>169128</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>27</th>\n <td>YES</td>\n <td>Single</td>\n <td>87778</td>\n <td>28542</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>28</th>\n <td>YES</td>\n <td>Single</td>\n <td>10379</td>\n <td>128766</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>29</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>94033</td>\n <td>41863</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>30</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>73854</td>\n <td>117788</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>31</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>64007</td>\n <td>147414</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>32</th>\n <td>YES</td>\n <td>Married</td>\n <td>97200</td>\n <td>51911</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>33</th>\n <td>YES</td>\n <td>Single</td>\n <td>82071</td>\n <td>157251</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>34</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>12514</td>\n <td>183767</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>35</th>\n <td>YES</td>\n <td>Married</td>\n <td>31336</td>\n <td>41117</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>36</th>\n <td>YES</td>\n <td>Married</td>\n <td>10163</td>\n <td>193995</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>37</th>\n <td>NO</td>\n <td>Married</td>\n <td>68513</td>\n <td>66912</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>38</th>\n <td>NO</td>\n <td>Single</td>\n <td>14912</td>\n <td>177575</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>39</th>\n <td>NO</td>\n <td>Married</td>\n <td>74010</td>\n <td>54981</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>40</th>\n <td>NO</td>\n <td>Single</td>\n <td>50777</td>\n <td>199697</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>41</th>\n <td>YES</td>\n <td>Married</td>\n <td>49436</td>\n <td>91524</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>42</th>\n <td>NO</td>\n <td>Single</td>\n <td>96485</td>\n <td>51666</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>43</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>70339</td>\n <td>50020</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>44</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>33614</td>\n <td>98880</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>45</th>\n <td>YES</td>\n <td>Married</td>\n <td>81079</td>\n <td>183095</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>46</th>\n <td>YES</td>\n <td>Married</td>\n <td>31532</td>\n <td>137346</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>47</th>\n <td>YES</td>\n <td>Single</td>\n <td>44034</td>\n <td>34964</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>48</th>\n <td>NO</td>\n <td>Married</td>\n <td>16264</td>\n <td>35480</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>49</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>45706</td>\n <td>160195</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>50</th>\n <td>YES</td>\n <td>Single</td>\n <td>79616</td>\n <td>145804</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>51</th>\n <td>YES</td>\n <td>Single</td>\n <td>40137</td>\n <td>174042</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>52</th>\n <td>NO</td>\n <td>Single</td>\n <td>97703</td>\n <td>91828</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>53</th>\n <td>YES</td>\n <td>Single</td>\n <td>21917</td>\n <td>139143</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>54</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>81939</td>\n <td>98207</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>55</th>\n <td>YES</td>\n <td>Single</td>\n <td>19925</td>\n <td>89965</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>56</th>\n <td>NO</td>\n <td>Married</td>\n <td>34703</td>\n <td>69832</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>57</th>\n <td>NO</td>\n <td>Single</td>\n <td>78573</td>\n <td>70744</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>58</th>\n <td>YES</td>\n <td>Single</td>\n <td>10870</td>\n <td>158047</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>59</th>\n <td>NO</td>\n <td>Single</td>\n <td>65065</td>\n <td>102228</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>60</th>\n <td>YES</td>\n <td>Married</td>\n <td>94418</td>\n <td>91138</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>61</th>\n <td>YES</td>\n <td>Married</td>\n <td>26972</td>\n <td>86169</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>62</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>91684</td>\n <td>147684</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>63</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>51685</td>\n <td>95831</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>64</th>\n <td>YES</td>\n <td>Single</td>\n <td>62158</td>\n <td>118261</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>65</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>58312</td>\n <td>194738</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>66</th>\n <td>YES</td>\n <td>Married</td>\n <td>42507</td>\n <td>66985</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>67</th>\n <td>YES</td>\n <td>Married</td>\n <td>61486</td>\n <td>173986</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>68</th>\n <td>NO</td>\n <td>Single</td>\n <td>10150</td>\n <td>139642</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>69</th>\n <td>YES</td>\n <td>Single</td>\n <td>99619</td>\n <td>86896</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>70</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>89302</td>\n <td>80904</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>71</th>\n <td>NO</td>\n <td>Single</td>\n <td>94287</td>\n <td>105680</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>72</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>41344</td>\n <td>108300</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>73</th>\n <td>YES</td>\n <td>Single</td>\n <td>41382</td>\n <td>174789</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>74</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>32434</td>\n <td>182319</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>75</th>\n <td>NO</td>\n <td>Married</td>\n <td>61105</td>\n <td>50404</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>76</th>\n <td>YES</td>\n <td>Married</td>\n <td>67628</td>\n <td>129164</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>77</th>\n <td>YES</td>\n <td>Married</td>\n <td>31458</td>\n <td>118344</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>78</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>73411</td>\n <td>143153</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>79</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>10329</td>\n <td>140885</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>80</th>\n <td>NO</td>\n <td>Married</td>\n <td>44947</td>\n <td>28184</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>81</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>35610</td>\n <td>121608</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>82</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>66564</td>\n <td>111068</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>83</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>87348</td>\n <td>73963</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>84</th>\n <td>NO</td>\n <td>Married</td>\n <td>69098</td>\n <td>178083</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>85</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>28449</td>\n <td>125155</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>86</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>39277</td>\n <td>97520</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>87</th>\n <td>YES</td>\n <td>Single</td>\n <td>13747</td>\n <td>64075</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>88</th>\n <td>NO</td>\n <td>Married</td>\n <td>86652</td>\n <td>63896</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>89</th>\n <td>YES</td>\n <td>Married</td>\n <td>26741</td>\n <td>176050</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>90</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>77634</td>\n <td>101232</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>91</th>\n <td>YES</td>\n <td>Married</td>\n <td>99325</td>\n <td>73733</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>92</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>85651</td>\n <td>114621</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>93</th>\n <td>YES</td>\n <td>Married</td>\n <td>15296</td>\n <td>137676</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>94</th>\n <td>NO</td>\n <td>Single</td>\n <td>10348</td>\n <td>122705</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>95</th>\n <td>YES</td>\n <td>Single</td>\n <td>41395</td>\n <td>121498</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>96</th>\n <td>NO</td>\n <td>Single</td>\n <td>22258</td>\n <td>63622</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>97</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>79583</td>\n <td>37849</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>98</th>\n <td>YES</td>\n <td>Married</td>\n <td>22187</td>\n <td>77053</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>99</th>\n <td>NO</td>\n <td>Married</td>\n <td>52495</td>\n <td>114350</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>100</th>\n <td>YES</td>\n <td>Single</td>\n <td>93078</td>\n <td>46444</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>101</th>\n <td>YES</td>\n <td>Married</td>\n <td>35072</td>\n <td>50490</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>102</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>32662</td>\n <td>91488</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>103</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>89250</td>\n <td>76318</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>104</th>\n <td>NO</td>\n <td>Single</td>\n <td>41641</td>\n <td>174423</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>105</th>\n <td>NO</td>\n <td>Single</td>\n <td>55873</td>\n <td>46893</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>106</th>\n <td>YES</td>\n <td>Single</td>\n <td>19169</td>\n <td>58535</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>107</th>\n <td>NO</td>\n <td>Married</td>\n <td>46629</td>\n <td>52424</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>108</th>\n <td>YES</td>\n <td>Married</td>\n <td>51927</td>\n <td>120894</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>109</th>\n <td>YES</td>\n <td>Married</td>\n <td>69224</td>\n <td>178585</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>110</th>\n <td>NO</td>\n <td>Single</td>\n <td>24557</td>\n <td>32450</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>111</th>\n <td>NO</td>\n <td>Single</td>\n <td>77762</td>\n <td>164526</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>112</th>\n <td>YES</td>\n <td>Single</td>\n <td>96355</td>\n <td>193038</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>113</th>\n <td>YES</td>\n <td>Married</td>\n <td>90910</td>\n <td>100347</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>114</th>\n <td>NO</td>\n <td>Single</td>\n <td>21945</td>\n <td>197934</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>115</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>79357</td>\n <td>78251</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>116</th>\n <td>NO</td>\n <td>Married</td>\n <td>42784</td>\n <td>132570</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>117</th>\n <td>NO</td>\n <td>Single</td>\n <td>54638</td>\n <td>96370</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>118</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>29944</td>\n <td>199174</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>119</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>97318</td>\n <td>47202</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>120</th>\n <td>YES</td>\n <td>Single</td>\n <td>52022</td>\n <td>135886</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>121</th>\n <td>YES</td>\n <td>Married</td>\n <td>20391</td>\n <td>86648</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>122</th>\n <td>YES</td>\n <td>Married</td>\n <td>21016</td>\n <td>140762</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>123</th>\n <td>YES</td>\n <td>Married</td>\n <td>26679</td>\n <td>79683</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>124</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>70682</td>\n <td>139324</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>125</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>87326</td>\n <td>155669</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>126</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>15853</td>\n <td>195022</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>127</th>\n <td>NO</td>\n <td>Single</td>\n <td>75501</td>\n <td>93035</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>128</th>\n <td>NO</td>\n <td>Married</td>\n <td>97984</td>\n <td>100897</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>129</th>\n <td>YES</td>\n <td>Single</td>\n <td>53378</td>\n <td>65469</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>130</th>\n <td>YES</td>\n <td>Single</td>\n <td>93458</td>\n <td>87730</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>131</th>\n <td>YES</td>\n <td>Single</td>\n <td>56501</td>\n <td>174321</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>132</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>46955</td>\n <td>67820</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>133</th>\n <td>NO</td>\n <td>Single</td>\n <td>33492</td>\n <td>86646</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>134</th>\n <td>YES</td>\n <td>Married</td>\n <td>35832</td>\n <td>190365</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>135</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>12470</td>\n <td>75323</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>136</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>53981</td>\n <td>53513</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>137</th>\n <td>YES</td>\n <td>Single</td>\n <td>22773</td>\n <td>115884</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>138</th>\n <td>NO</td>\n <td>Single</td>\n <td>84691</td>\n <td>155335</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>139</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>50087</td>\n <td>86904</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>140</th>\n <td>YES</td>\n <td>Married</td>\n <td>27877</td>\n <td>93390</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>141</th>\n <td>YES</td>\n <td>Married</td>\n <td>56647</td>\n <td>194364</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>142</th>\n <td>NO</td>\n <td>Single</td>\n <td>59419</td>\n <td>122654</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>143</th>\n <td>YES</td>\n <td>Single</td>\n <td>26783</td>\n <td>154013</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>144</th>\n <td>YES</td>\n <td>Single</td>\n <td>79453</td>\n <td>156503</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>145</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>33962</td>\n <td>197422</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>146</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>84429</td>\n <td>57931</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>147</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>63057</td>\n <td>163252</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>148</th>\n <td>NO</td>\n <td>Married</td>\n <td>43128</td>\n <td>197038</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>149</th>\n <td>NO</td>\n <td>Single</td>\n <td>40220</td>\n <td>49505</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>150</th>\n <td>NO</td>\n <td>Married</td>\n <td>79700</td>\n <td>161759</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>151</th>\n <td>NO</td>\n <td>Single</td>\n <td>67083</td>\n <td>109110</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>152</th>\n <td>NO</td>\n <td>Single</td>\n <td>22054</td>\n <td>91889</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>153</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>18192</td>\n <td>114841</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>154</th>\n <td>NO</td>\n <td>Single</td>\n <td>25222</td>\n <td>82520</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>155</th>\n <td>YES</td>\n <td>Single</td>\n <td>58635</td>\n <td>139624</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>156</th>\n <td>YES</td>\n <td>Married</td>\n <td>39114</td>\n <td>125987</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>157</th>\n <td>YES</td>\n <td>Married</td>\n <td>48738</td>\n <td>115631</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>158</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>28496</td>\n <td>163347</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>159</th>\n <td>YES</td>\n <td>Single</td>\n <td>62209</td>\n <td>28504</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>160</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>87677</td>\n <td>79972</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>161</th>\n <td>YES</td>\n <td>Married</td>\n <td>93659</td>\n <td>185596</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>162</th>\n <td>YES</td>\n <td>Married</td>\n <td>56503</td>\n <td>177468</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>163</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>27081</td>\n <td>91851</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>164</th>\n <td>YES</td>\n <td>Single</td>\n <td>48779</td>\n <td>153192</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>165</th>\n <td>YES</td>\n <td>Married</td>\n <td>91304</td>\n <td>38463</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>166</th>\n <td>NO</td>\n <td>Married</td>\n <td>49520</td>\n <td>73466</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>167</th>\n <td>NO</td>\n <td>Married</td>\n <td>41117</td>\n <td>194381</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>168</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>18199</td>\n <td>167629</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>169</th>\n <td>YES</td>\n <td>Single</td>\n <td>76992</td>\n <td>76933</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>170</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>98588</td>\n <td>143402</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>171</th>\n <td>YES</td>\n <td>Married</td>\n <td>20719</td>\n <td>103614</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>172</th>\n <td>NO</td>\n <td>Married</td>\n <td>13068</td>\n <td>52819</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>173</th>\n <td>YES</td>\n <td>Single</td>\n <td>84835</td>\n <td>105110</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>174</th>\n <td>YES</td>\n <td>Single</td>\n <td>44795</td>\n <td>149857</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>175</th>\n <td>YES</td>\n <td>Single</td>\n <td>39052</td>\n <td>57055</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>176</th>\n <td>NO</td>\n <td>Married</td>\n <td>38704</td>\n <td>75169</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>177</th>\n <td>NO</td>\n <td>Married</td>\n <td>98416</td>\n <td>31156</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>178</th>\n <td>NO</td>\n <td>Single</td>\n <td>86958</td>\n <td>85832</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>179</th>\n <td>YES</td>\n <td>Married</td>\n <td>29222</td>\n <td>192451</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>180</th>\n <td>YES</td>\n <td>Single</td>\n <td>71357</td>\n <td>149101</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>181</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>29543</td>\n <td>36116</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>182</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>23855</td>\n <td>89632</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>183</th>\n <td>NO</td>\n <td>Single</td>\n <td>84836</td>\n <td>39523</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>184</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>93307</td>\n <td>70138</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>185</th>\n <td>NO</td>\n <td>Married</td>\n <td>64614</td>\n <td>92975</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>186</th>\n <td>NO</td>\n <td>Married</td>\n <td>72949</td>\n <td>166976</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>187</th>\n <td>NO</td>\n <td>Single</td>\n <td>79211</td>\n <td>59558</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>188</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>28707</td>\n <td>137569</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>189</th>\n <td>YES</td>\n <td>Married</td>\n <td>83229</td>\n <td>189301</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>190</th>\n <td>NO</td>\n <td>Single</td>\n <td>73620</td>\n <td>90459</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>191</th>\n <td>NO</td>\n <td>Single</td>\n <td>70819</td>\n <td>176341</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>192</th>\n <td>YES</td>\n <td>Married</td>\n <td>48313</td>\n <td>126556</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>193</th>\n <td>YES</td>\n <td>Married</td>\n <td>37481</td>\n <td>198213</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>194</th>\n <td>YES</td>\n <td>Single</td>\n <td>20851</td>\n <td>103981</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>195</th>\n <td>YES</td>\n <td>Single</td>\n <td>86079</td>\n <td>181370</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>196</th>\n <td>YES</td>\n <td>Married</td>\n <td>10933</td>\n <td>28410</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>197</th>\n <td>NO</td>\n <td>Single</td>\n <td>66905</td>\n <td>98056</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>198</th>\n <td>NO</td>\n <td>Single</td>\n <td>36890</td>\n <td>48025</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>199</th>\n <td>YES</td>\n <td>Married</td>\n <td>19060</td>\n <td>145744</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>200</th>\n <td>YES</td>\n <td>Single</td>\n <td>61906</td>\n <td>162777</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>201</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>31088</td>\n <td>58225</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>202</th>\n <td>YES</td>\n <td>Single</td>\n <td>70365</td>\n <td>28661</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>203</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>56536</td>\n <td>117260</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>204</th>\n <td>NO</td>\n <td>Married</td>\n <td>16992</td>\n <td>173091</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>205</th>\n <td>NO</td>\n <td>Married</td>\n <td>14300</td>\n <td>131906</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>206</th>\n <td>YES</td>\n <td>Single</td>\n <td>51914</td>\n <td>52227</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>207</th>\n <td>YES</td>\n <td>Married</td>\n <td>12083</td>\n <td>138108</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>208</th>\n <td>YES</td>\n <td>Single</td>\n <td>71376</td>\n <td>141502</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>209</th>\n <td>YES</td>\n <td>Single</td>\n <td>99307</td>\n <td>186239</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>210</th>\n <td>YES</td>\n <td>Single</td>\n <td>35200</td>\n <td>125993</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>211</th>\n <td>YES</td>\n <td>Married</td>\n <td>70812</td>\n <td>57194</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>212</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>62067</td>\n <td>112659</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>213</th>\n <td>YES</td>\n <td>Single</td>\n <td>62365</td>\n <td>107069</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>214</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>80618</td>\n <td>140159</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>215</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>52891</td>\n <td>28576</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>216</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>31409</td>\n <td>85128</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>217</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>81790</td>\n <td>179220</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>218</th>\n <td>NO</td>\n <td>Married</td>\n <td>57794</td>\n <td>38091</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>219</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>20604</td>\n <td>26814</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>220</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>83459</td>\n <td>115168</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>221</th>\n <td>YES</td>\n <td>Single</td>\n <td>43051</td>\n <td>134135</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>222</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>68911</td>\n <td>168248</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>223</th>\n <td>YES</td>\n <td>Married</td>\n <td>38374</td>\n <td>192297</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>224</th>\n <td>NO</td>\n <td>Married</td>\n <td>86784</td>\n <td>55717</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>225</th>\n <td>YES</td>\n <td>Single</td>\n <td>42488</td>\n <td>125883</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>226</th>\n <td>NO</td>\n <td>Single</td>\n <td>35922</td>\n <td>77719</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>227</th>\n <td>YES</td>\n <td>Single</td>\n <td>46610</td>\n <td>182921</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>228</th>\n <td>NO</td>\n <td>Married</td>\n <td>28764</td>\n <td>100696</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>229</th>\n <td>NO</td>\n <td>Married</td>\n <td>75170</td>\n <td>35780</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>230</th>\n <td>NO</td>\n <td>Married</td>\n <td>24370</td>\n <td>81593</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>231</th>\n <td>YES</td>\n <td>Single</td>\n <td>84083</td>\n <td>153147</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>232</th>\n <td>YES</td>\n <td>Married</td>\n <td>11784</td>\n <td>150349</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>233</th>\n <td>NO</td>\n <td>Married</td>\n <td>10003</td>\n <td>63701</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>234</th>\n <td>NO</td>\n <td>Single</td>\n <td>98970</td>\n <td>102498</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>235</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>77735</td>\n <td>87541</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>236</th>\n <td>YES</td>\n <td>Married</td>\n <td>46070</td>\n <td>193193</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>237</th>\n <td>NO</td>\n <td>Married</td>\n <td>27143</td>\n <td>128996</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>238</th>\n <td>YES</td>\n <td>Single</td>\n <td>56974</td>\n <td>72968</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>239</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>99109</td>\n <td>76145</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>240</th>\n <td>NO</td>\n <td>Single</td>\n <td>32603</td>\n <td>139146</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>241</th>\n <td>YES</td>\n <td>Single</td>\n <td>24215</td>\n <td>31377</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>242</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>33092</td>\n <td>84368</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>243</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>71297</td>\n <td>181549</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>244</th>\n <td>YES</td>\n <td>Single</td>\n <td>68268</td>\n <td>154647</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>245</th>\n <td>NO</td>\n <td>Single</td>\n <td>33810</td>\n <td>183221</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>246</th>\n <td>YES</td>\n <td>Single</td>\n <td>49995</td>\n <td>38139</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>247</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>11865</td>\n <td>108245</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>248</th>\n <td>NO</td>\n <td>Single</td>\n <td>28904</td>\n <td>105374</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>249</th>\n <td>YES</td>\n <td>Single</td>\n <td>39144</td>\n <td>35376</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>250</th>\n <td>NO</td>\n <td>Married</td>\n <td>31591</td>\n <td>156973</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>251</th>\n <td>YES</td>\n <td>Single</td>\n <td>30167</td>\n <td>173228</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>252</th>\n <td>NO</td>\n <td>Single</td>\n <td>72382</td>\n <td>40855</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>253</th>\n <td>YES</td>\n <td>Single</td>\n <td>79869</td>\n <td>77256</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>254</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>70526</td>\n <td>193263</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>255</th>\n <td>YES</td>\n <td>Married</td>\n <td>38143</td>\n <td>170030</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>256</th>\n <td>YES</td>\n <td>Married</td>\n <td>70298</td>\n <td>168568</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>257</th>\n <td>YES</td>\n <td>Married</td>\n <td>54747</td>\n <td>31611</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>258</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>92997</td>\n <td>74119</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>259</th>\n <td>NO</td>\n <td>Married</td>\n <td>24347</td>\n <td>197841</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>260</th>\n <td>YES</td>\n <td>Single</td>\n <td>57445</td>\n <td>92333</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>261</th>\n <td>NO</td>\n <td>Single</td>\n <td>70645</td>\n <td>68788</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>262</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>69540</td>\n <td>120415</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>263</th>\n <td>YES</td>\n <td>Married</td>\n <td>70712</td>\n <td>69386</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>264</th>\n <td>NO</td>\n <td>Single</td>\n <td>32900</td>\n <td>118899</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>265</th>\n <td>NO</td>\n <td>Married</td>\n <td>14326</td>\n <td>101996</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>266</th>\n <td>YES</td>\n <td>Married</td>\n <td>43865</td>\n <td>173276</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>267</th>\n <td>NO</td>\n <td>Single</td>\n <td>29046</td>\n <td>183946</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>268</th>\n <td>NO</td>\n <td>Single</td>\n <td>95088</td>\n <td>98378</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>269</th>\n <td>YES</td>\n <td>Married</td>\n <td>38586</td>\n <td>125450</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>270</th>\n <td>NO</td>\n <td>Married</td>\n <td>30468</td>\n <td>130680</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>271</th>\n <td>NO</td>\n <td>Single</td>\n <td>42254</td>\n <td>183682</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>272</th>\n <td>NO</td>\n <td>Single</td>\n <td>32467</td>\n <td>126488</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>273</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>68404</td>\n <td>58942</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>274</th>\n <td>YES</td>\n <td>Married</td>\n <td>58451</td>\n <td>112584</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>275</th>\n <td>YES</td>\n <td>Married</td>\n <td>86208</td>\n <td>55591</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>276</th>\n <td>NO</td>\n <td>Single</td>\n <td>62426</td>\n <td>44251</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>277</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>63710</td>\n <td>117364</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>278</th>\n <td>NO</td>\n <td>Married</td>\n <td>25062</td>\n <td>114823</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>279</th>\n <td>YES</td>\n <td>Single</td>\n <td>56438</td>\n <td>74136</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>280</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>17783</td>\n <td>33184</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>281</th>\n <td>NO</td>\n <td>Single</td>\n <td>92426</td>\n <td>167403</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>282</th>\n <td>YES</td>\n <td>Married</td>\n <td>64667</td>\n <td>59590</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>283</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>32483</td>\n <td>129276</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>284</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>15673</td>\n <td>188383</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>285</th>\n <td>NO</td>\n <td>Single</td>\n <td>77511</td>\n <td>63420</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>286</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>76182</td>\n <td>113724</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>287</th>\n <td>YES</td>\n <td>Single</td>\n <td>89831</td>\n <td>77102</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>288</th>\n <td>YES</td>\n <td>Married</td>\n <td>12072</td>\n <td>174196</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>289</th>\n <td>NO</td>\n <td>Single</td>\n <td>81231</td>\n <td>196816</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>290</th>\n <td>YES</td>\n <td>Married</td>\n <td>48169</td>\n <td>193003</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>291</th>\n <td>YES</td>\n <td>Single</td>\n <td>31699</td>\n <td>62475</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>292</th>\n <td>YES</td>\n <td>Single</td>\n <td>15710</td>\n <td>76406</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>293</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>31645</td>\n <td>43899</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>294</th>\n <td>YES</td>\n <td>Single</td>\n <td>98933</td>\n <td>74074</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>295</th>\n <td>YES</td>\n <td>Married</td>\n <td>52912</td>\n <td>40089</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>296</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>68756</td>\n <td>167600</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>297</th>\n <td>NO</td>\n <td>Married</td>\n <td>41087</td>\n <td>36924</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>298</th>\n <td>NO</td>\n <td>Single</td>\n <td>46798</td>\n <td>119904</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>299</th>\n <td>YES</td>\n <td>Single</td>\n <td>34475</td>\n <td>197916</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>300</th>\n <td>NO</td>\n <td>Married</td>\n <td>98334</td>\n <td>74052</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>301</th>\n <td>YES</td>\n <td>Married</td>\n <td>10900</td>\n <td>39797</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>302</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>61445</td>\n <td>97109</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>303</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>78796</td>\n <td>189061</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>304</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>62141</td>\n <td>106757</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>305</th>\n <td>NO</td>\n <td>Single</td>\n <td>90945</td>\n <td>161265</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>306</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>88918</td>\n <td>185099</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>307</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>62873</td>\n <td>31819</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>308</th>\n <td>YES</td>\n <td>Married</td>\n <td>70949</td>\n <td>183445</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>309</th>\n <td>YES</td>\n <td>Single</td>\n <td>31521</td>\n <td>123761</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>310</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>59615</td>\n <td>189435</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>311</th>\n <td>NO</td>\n <td>Married</td>\n <td>52111</td>\n <td>50013</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>312</th>\n <td>YES</td>\n <td>Single</td>\n <td>34598</td>\n <td>31641</td>\n <td>18</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>313</th>\n <td>YES</td>\n <td>Single</td>\n <td>61124</td>\n <td>124848</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>314</th>\n <td>NO</td>\n <td>Single</td>\n <td>59689</td>\n <td>85255</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>315</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>23075</td>\n <td>176278</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>316</th>\n <td>NO</td>\n <td>Married</td>\n <td>48192</td>\n <td>70323</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>317</th>\n <td>YES</td>\n <td>Married</td>\n <td>77367</td>\n <td>116745</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>318</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>82625</td>\n <td>121324</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>319</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>51802</td>\n <td>153308</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>320</th>\n <td>YES</td>\n <td>Single</td>\n <td>78922</td>\n <td>78897</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>321</th>\n <td>NO</td>\n <td>Single</td>\n <td>38670</td>\n <td>84215</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>322</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>48392</td>\n <td>160932</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>323</th>\n <td>YES</td>\n <td>Married</td>\n <td>47425</td>\n <td>165175</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>324</th>\n <td>YES</td>\n <td>Single</td>\n <td>73906</td>\n <td>171288</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>325</th>\n <td>NO</td>\n <td>Single</td>\n <td>94013</td>\n <td>25779</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>326</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>27698</td>\n <td>165001</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>327</th>\n <td>YES</td>\n <td>Married</td>\n <td>26793</td>\n <td>162777</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>328</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>67033</td>\n <td>93414</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>329</th>\n <td>NO</td>\n <td>Single</td>\n <td>20109</td>\n <td>39360</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>330</th>\n <td>NO</td>\n <td>Married</td>\n <td>95185</td>\n <td>43176</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>331</th>\n <td>YES</td>\n <td>Married</td>\n <td>27684</td>\n <td>60999</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>332</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>98240</td>\n <td>84132</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>333</th>\n <td>YES</td>\n <td>Single</td>\n <td>18032</td>\n <td>44775</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>334</th>\n <td>NO</td>\n <td>Single</td>\n <td>46470</td>\n <td>118274</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>335</th>\n <td>YES</td>\n <td>Married</td>\n <td>33301</td>\n <td>140998</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>336</th>\n <td>NO</td>\n <td>Married</td>\n <td>62800</td>\n <td>73146</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>337</th>\n <td>YES</td>\n <td>Married</td>\n <td>27520</td>\n <td>73490</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>338</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>26094</td>\n <td>111264</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>339</th>\n <td>YES</td>\n <td>Single</td>\n <td>13571</td>\n <td>110940</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>340</th>\n <td>YES</td>\n <td>Married</td>\n <td>36239</td>\n <td>54437</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>341</th>\n <td>NO</td>\n <td>Married</td>\n <td>77082</td>\n <td>83900</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>342</th>\n <td>YES</td>\n <td>Married</td>\n <td>71572</td>\n <td>31097</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>343</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>30495</td>\n <td>161143</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>344</th>\n <td>NO</td>\n <td>Married</td>\n <td>49771</td>\n <td>192313</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>345</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>32905</td>\n <td>118798</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>346</th>\n <td>NO</td>\n <td>Single</td>\n <td>21337</td>\n <td>134635</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>347</th>\n <td>NO</td>\n <td>Married</td>\n <td>16082</td>\n <td>80991</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>348</th>\n <td>YES</td>\n <td>Single</td>\n <td>43883</td>\n <td>42269</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>349</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>15491</td>\n <td>72255</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>350</th>\n <td>NO</td>\n <td>Married</td>\n <td>48081</td>\n <td>89949</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>351</th>\n <td>YES</td>\n <td>Married</td>\n <td>36317</td>\n <td>114922</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>352</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>15627</td>\n <td>72115</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>353</th>\n <td>YES</td>\n <td>Married</td>\n <td>51028</td>\n <td>141622</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>354</th>\n <td>YES</td>\n <td>Married</td>\n <td>14422</td>\n <td>176891</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>355</th>\n <td>YES</td>\n <td>Single</td>\n <td>45525</td>\n <td>56488</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>356</th>\n <td>NO</td>\n <td>Married</td>\n <td>23480</td>\n <td>46480</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>357</th>\n <td>NO</td>\n <td>Married</td>\n <td>19184</td>\n <td>84034</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>358</th>\n <td>YES</td>\n <td>Single</td>\n <td>80239</td>\n <td>96432</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>359</th>\n <td>YES</td>\n <td>Single</td>\n <td>33215</td>\n <td>157299</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>360</th>\n <td>YES</td>\n <td>Single</td>\n <td>65203</td>\n <td>107937</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>361</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>65190</td>\n <td>62671</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>362</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>16320</td>\n <td>75552</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>363</th>\n <td>YES</td>\n <td>Single</td>\n <td>21696</td>\n <td>52584</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>364</th>\n <td>YES</td>\n <td>Married</td>\n <td>56129</td>\n <td>62943</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>365</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>74971</td>\n <td>134321</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>366</th>\n <td>YES</td>\n <td>Married</td>\n <td>33356</td>\n <td>131469</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>367</th>\n <td>YES</td>\n <td>Married</td>\n <td>29607</td>\n <td>95404</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>368</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>95319</td>\n <td>128428</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>369</th>\n <td>NO</td>\n <td>Married</td>\n <td>94413</td>\n <td>89122</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>370</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>78963</td>\n <td>86119</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>371</th>\n <td>YES</td>\n <td>Single</td>\n <td>66865</td>\n <td>75580</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>372</th>\n <td>YES</td>\n <td>Married</td>\n <td>40427</td>\n <td>168473</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>373</th>\n <td>NO</td>\n <td>Married</td>\n <td>93733</td>\n <td>175719</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>374</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>63543</td>\n <td>147614</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>375</th>\n <td>NO</td>\n <td>Married</td>\n <td>41184</td>\n <td>130935</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>376</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>96652</td>\n <td>188067</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>377</th>\n <td>YES</td>\n <td>Single</td>\n <td>56555</td>\n <td>103490</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>378</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>36457</td>\n <td>152471</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>379</th>\n <td>NO</td>\n <td>Single</td>\n <td>26101</td>\n <td>112774</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>380</th>\n <td>YES</td>\n <td>Married</td>\n <td>36156</td>\n <td>197699</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>381</th>\n <td>NO</td>\n <td>Single</td>\n <td>49958</td>\n <td>61920</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>382</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>68696</td>\n <td>139269</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>383</th>\n <td>YES</td>\n <td>Married</td>\n <td>97453</td>\n <td>148246</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>384</th>\n <td>YES</td>\n <td>Married</td>\n <td>68533</td>\n <td>147346</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>385</th>\n <td>NO</td>\n <td>Single</td>\n <td>96438</td>\n <td>140132</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>386</th>\n <td>NO</td>\n <td>Single</td>\n <td>50348</td>\n <td>140642</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>387</th>\n <td>YES</td>\n <td>Single</td>\n <td>85016</td>\n <td>56597</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>388</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>73188</td>\n <td>151636</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>389</th>\n <td>YES</td>\n <td>Single</td>\n <td>64225</td>\n <td>183187</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>390</th>\n <td>YES</td>\n <td>Single</td>\n <td>64437</td>\n <td>57324</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>391</th>\n <td>NO</td>\n <td>Married</td>\n <td>66330</td>\n <td>29934</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>392</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>26372</td>\n <td>37776</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>393</th>\n <td>NO</td>\n <td>Married</td>\n <td>30714</td>\n <td>68687</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>394</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>84263</td>\n <td>64990</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>395</th>\n <td>YES</td>\n <td>Single</td>\n <td>86531</td>\n <td>183094</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>396</th>\n <td>YES</td>\n <td>Single</td>\n <td>93090</td>\n <td>176330</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>397</th>\n <td>NO</td>\n <td>Married</td>\n <td>79373</td>\n <td>91689</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>398</th>\n <td>NO</td>\n <td>Married</td>\n <td>17440</td>\n <td>64070</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>399</th>\n <td>NO</td>\n <td>Single</td>\n <td>81536</td>\n <td>74497</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>400</th>\n <td>YES</td>\n <td>Married</td>\n <td>62494</td>\n <td>197421</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>401</th>\n <td>NO</td>\n <td>Married</td>\n <td>37580</td>\n <td>73065</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>402</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>60822</td>\n <td>105376</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>403</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>96032</td>\n <td>130912</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>404</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>91545</td>\n <td>34334</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>405</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>73313</td>\n <td>140266</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>406</th>\n <td>NO</td>\n <td>Married</td>\n <td>54345</td>\n <td>107688</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>407</th>\n <td>NO</td>\n <td>Single</td>\n <td>33138</td>\n <td>52144</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>408</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>33579</td>\n <td>77059</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>409</th>\n <td>NO</td>\n <td>Single</td>\n <td>83094</td>\n <td>163058</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>410</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>90065</td>\n <td>41152</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>411</th>\n <td>NO</td>\n <td>Married</td>\n <td>51913</td>\n <td>46253</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>412</th>\n <td>YES</td>\n <td>Single</td>\n <td>81378</td>\n <td>28446</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>413</th>\n <td>YES</td>\n <td>Single</td>\n <td>32236</td>\n <td>112890</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>414</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>97980</td>\n <td>27300</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>415</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>38626</td>\n <td>131493</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>416</th>\n <td>NO</td>\n <td>Single</td>\n <td>64230</td>\n <td>33982</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>417</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>38183</td>\n <td>76625</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>418</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>89277</td>\n <td>104183</td>\n <td>18</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>419</th>\n <td>NO</td>\n <td>Married</td>\n <td>68269</td>\n <td>138074</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>420</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>58751</td>\n <td>84473</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>421</th>\n <td>YES</td>\n <td>Single</td>\n <td>88720</td>\n <td>135185</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>422</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>99311</td>\n <td>191983</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>423</th>\n <td>NO</td>\n <td>Married</td>\n <td>94528</td>\n <td>80249</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>424</th>\n <td>YES</td>\n <td>Married</td>\n <td>72268</td>\n <td>94199</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>425</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>79593</td>\n <td>121506</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>426</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>94247</td>\n <td>50373</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>427</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>76700</td>\n <td>99025</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>428</th>\n <td>YES</td>\n <td>Married</td>\n <td>12011</td>\n <td>128266</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>429</th>\n <td>NO</td>\n <td>Single</td>\n <td>87935</td>\n <td>153748</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>430</th>\n <td>YES</td>\n <td>Married</td>\n <td>98720</td>\n <td>161215</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>431</th>\n <td>NO</td>\n <td>Single</td>\n <td>38638</td>\n <td>168360</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>432</th>\n <td>NO</td>\n <td>Married</td>\n <td>37857</td>\n <td>157217</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>433</th>\n <td>NO</td>\n <td>Married</td>\n <td>15532</td>\n <td>129265</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>434</th>\n <td>YES</td>\n <td>Single</td>\n <td>22159</td>\n <td>87188</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>435</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>91547</td>\n <td>111774</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>436</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>98738</td>\n <td>158057</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>437</th>\n <td>YES</td>\n <td>Married</td>\n <td>21966</td>\n <td>117250</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>438</th>\n <td>NO</td>\n <td>Single</td>\n <td>14398</td>\n <td>74697</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>439</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>18572</td>\n <td>48956</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>440</th>\n <td>NO</td>\n <td>Single</td>\n <td>77312</td>\n <td>170407</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>441</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>42074</td>\n <td>70314</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>442</th>\n <td>YES</td>\n <td>Single</td>\n <td>82799</td>\n <td>193775</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>443</th>\n <td>YES</td>\n <td>Single</td>\n <td>12659</td>\n <td>189209</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>444</th>\n <td>YES</td>\n <td>Single</td>\n <td>19649</td>\n <td>36956</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>445</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>50119</td>\n <td>128451</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>446</th>\n <td>NO</td>\n <td>Single</td>\n <td>18888</td>\n <td>65708</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>447</th>\n <td>NO</td>\n <td>Married</td>\n <td>83061</td>\n <td>166606</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>448</th>\n <td>YES</td>\n <td>Single</td>\n <td>39343</td>\n <td>114597</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>449</th>\n <td>NO</td>\n <td>Married</td>\n <td>92007</td>\n <td>27875</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>450</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>78728</td>\n <td>91936</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>451</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>48640</td>\n <td>108262</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>452</th>\n <td>NO</td>\n <td>Single</td>\n <td>92070</td>\n <td>42620</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>453</th>\n <td>YES</td>\n <td>Single</td>\n <td>97341</td>\n <td>41504</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>454</th>\n <td>NO</td>\n <td>Married</td>\n <td>97493</td>\n <td>29602</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>455</th>\n <td>NO</td>\n <td>Married</td>\n <td>78400</td>\n <td>65533</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>456</th>\n <td>NO</td>\n <td>Single</td>\n <td>52862</td>\n <td>53788</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>457</th>\n <td>NO</td>\n <td>Married</td>\n <td>11804</td>\n <td>36055</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>458</th>\n <td>YES</td>\n <td>Single</td>\n <td>10455</td>\n <td>110892</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>459</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>25766</td>\n <td>125407</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>460</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>58199</td>\n <td>54701</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>461</th>\n <td>NO</td>\n <td>Single</td>\n <td>88613</td>\n <td>163901</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>462</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>16690</td>\n <td>149327</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>463</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>71164</td>\n <td>40460</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>464</th>\n <td>NO</td>\n <td>Married</td>\n <td>48825</td>\n <td>143349</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>465</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>29236</td>\n <td>116282</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>466</th>\n <td>NO</td>\n <td>Married</td>\n <td>59689</td>\n <td>186013</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>467</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>48940</td>\n <td>106946</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>468</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>64320</td>\n <td>38814</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>469</th>\n <td>YES</td>\n <td>Single</td>\n <td>84845</td>\n <td>65487</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>470</th>\n <td>YES</td>\n <td>Married</td>\n <td>52663</td>\n <td>148686</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>471</th>\n <td>NO</td>\n <td>Single</td>\n <td>17957</td>\n <td>192410</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>472</th>\n <td>NO</td>\n <td>Married</td>\n <td>69018</td>\n <td>151963</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>473</th>\n <td>YES</td>\n <td>Single</td>\n <td>58496</td>\n <td>147367</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>474</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>99128</td>\n <td>80729</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>475</th>\n <td>NO</td>\n <td>Single</td>\n <td>35868</td>\n <td>36081</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>476</th>\n <td>NO</td>\n <td>Single</td>\n <td>79478</td>\n <td>183057</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>477</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>57402</td>\n <td>158849</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>478</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>73795</td>\n <td>65242</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>479</th>\n <td>YES</td>\n <td>Married</td>\n <td>58403</td>\n <td>68995</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>480</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>85972</td>\n <td>72252</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>481</th>\n <td>YES</td>\n <td>Single</td>\n <td>62998</td>\n <td>120012</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>482</th>\n <td>NO</td>\n <td>Single</td>\n <td>32786</td>\n <td>125771</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>483</th>\n <td>NO</td>\n <td>Single</td>\n <td>17962</td>\n <td>100961</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>484</th>\n <td>YES</td>\n <td>Married</td>\n <td>59440</td>\n <td>114646</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>485</th>\n <td>NO</td>\n <td>Single</td>\n <td>94772</td>\n <td>52766</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>486</th>\n <td>YES</td>\n <td>Single</td>\n <td>80083</td>\n <td>57230</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>487</th>\n <td>YES</td>\n <td>Single</td>\n <td>81026</td>\n <td>83402</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>488</th>\n <td>YES</td>\n <td>Single</td>\n <td>86883</td>\n <td>76718</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>489</th>\n <td>YES</td>\n <td>Married</td>\n <td>39444</td>\n <td>148821</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>490</th>\n <td>NO</td>\n <td>Married</td>\n <td>35886</td>\n <td>120996</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>491</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>24541</td>\n <td>82029</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>492</th>\n <td>YES</td>\n <td>Single</td>\n <td>54502</td>\n <td>98123</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>493</th>\n <td>NO</td>\n <td>Married</td>\n <td>17183</td>\n <td>103226</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>494</th>\n <td>NO</td>\n <td>Single</td>\n <td>39562</td>\n <td>197045</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>495</th>\n <td>NO</td>\n <td>Married</td>\n <td>70157</td>\n <td>59156</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>496</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>72151</td>\n <td>59382</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>497</th>\n <td>NO</td>\n <td>Single</td>\n <td>65170</td>\n <td>100331</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>498</th>\n <td>YES</td>\n <td>Single</td>\n <td>67936</td>\n <td>164924</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>499</th>\n <td>YES</td>\n <td>Single</td>\n <td>93339</td>\n <td>48744</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>500</th>\n <td>YES</td>\n <td>Single</td>\n <td>57365</td>\n <td>158780</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>501</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>56628</td>\n <td>55842</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>502</th>\n <td>NO</td>\n <td>Married</td>\n <td>83814</td>\n <td>53240</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>503</th>\n <td>YES</td>\n <td>Married</td>\n <td>75324</td>\n <td>81550</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>504</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>46939</td>\n <td>198571</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>505</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>71428</td>\n <td>74910</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>506</th>\n <td>NO</td>\n <td>Single</td>\n <td>23884</td>\n <td>111105</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>507</th>\n <td>YES</td>\n <td>Single</td>\n <td>95145</td>\n <td>101272</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>508</th>\n <td>NO</td>\n <td>Single</td>\n <td>46002</td>\n <td>195357</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>509</th>\n <td>NO</td>\n <td>Married</td>\n <td>20309</td>\n <td>65531</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>510</th>\n <td>YES</td>\n <td>Married</td>\n <td>72115</td>\n <td>75436</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>511</th>\n <td>NO</td>\n <td>Married</td>\n <td>42769</td>\n <td>153233</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>512</th>\n <td>YES</td>\n <td>Single</td>\n <td>91870</td>\n <td>137948</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>513</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>55308</td>\n <td>140400</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>514</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>60789</td>\n <td>31380</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>515</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>51363</td>\n <td>87868</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>516</th>\n <td>YES</td>\n <td>Single</td>\n <td>99239</td>\n <td>76337</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>517</th>\n <td>NO</td>\n <td>Single</td>\n <td>19272</td>\n <td>195078</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>518</th>\n <td>YES</td>\n <td>Single</td>\n <td>44411</td>\n <td>112591</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>519</th>\n <td>YES</td>\n <td>Single</td>\n <td>60915</td>\n <td>162102</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>520</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>98433</td>\n <td>142426</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>521</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>81867</td>\n <td>51104</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>522</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>43980</td>\n <td>103343</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>523</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>50286</td>\n <td>42198</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>524</th>\n <td>YES</td>\n <td>Married</td>\n <td>29385</td>\n <td>164391</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>525</th>\n <td>YES</td>\n <td>Single</td>\n <td>47565</td>\n <td>75307</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>526</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>26494</td>\n <td>82565</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>527</th>\n <td>NO</td>\n <td>Married</td>\n <td>59243</td>\n <td>180274</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>528</th>\n <td>NO</td>\n <td>Married</td>\n <td>91488</td>\n <td>172612</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>529</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>33116</td>\n <td>83388</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>530</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>93364</td>\n <td>194421</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>531</th>\n <td>YES</td>\n <td>Married</td>\n <td>70743</td>\n <td>124440</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>532</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>34007</td>\n <td>98662</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>533</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>26128</td>\n <td>54113</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>534</th>\n <td>YES</td>\n <td>Married</td>\n <td>33748</td>\n <td>91567</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>535</th>\n <td>NO</td>\n <td>Married</td>\n <td>38896</td>\n <td>189851</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>536</th>\n <td>NO</td>\n <td>Single</td>\n <td>40674</td>\n <td>157025</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>537</th>\n <td>YES</td>\n <td>Single</td>\n <td>97111</td>\n <td>100651</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>538</th>\n <td>NO</td>\n <td>Married</td>\n <td>54850</td>\n <td>119976</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>539</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>32948</td>\n <td>57390</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>540</th>\n <td>YES</td>\n <td>Single</td>\n <td>12682</td>\n <td>110308</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>541</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>12453</td>\n <td>191874</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>542</th>\n <td>YES</td>\n <td>Married</td>\n <td>34655</td>\n <td>199778</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>543</th>\n <td>NO</td>\n <td>Single</td>\n <td>59351</td>\n <td>130816</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>544</th>\n <td>NO</td>\n <td>Single</td>\n <td>29916</td>\n <td>133877</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>545</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>36532</td>\n <td>109079</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>546</th>\n <td>NO</td>\n <td>Married</td>\n <td>94583</td>\n <td>59091</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>547</th>\n <td>YES</td>\n <td>Single</td>\n <td>92819</td>\n <td>42690</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>548</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>76535</td>\n <td>154393</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>549</th>\n <td>NO</td>\n <td>Married</td>\n <td>91220</td>\n <td>74058</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>550</th>\n <td>NO</td>\n <td>Married</td>\n <td>71238</td>\n <td>68160</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>551</th>\n <td>YES</td>\n <td>Married</td>\n <td>32356</td>\n <td>123082</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>552</th>\n <td>NO</td>\n <td>Single</td>\n <td>89094</td>\n <td>109191</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>553</th>\n <td>NO</td>\n <td>Single</td>\n <td>91462</td>\n <td>26884</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>554</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>75585</td>\n <td>147788</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>555</th>\n <td>NO</td>\n <td>Single</td>\n <td>31629</td>\n <td>53848</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>556</th>\n <td>NO</td>\n <td>Single</td>\n <td>42063</td>\n <td>34242</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>557</th>\n <td>YES</td>\n <td>Married</td>\n <td>12810</td>\n <td>157421</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>558</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>85570</td>\n <td>191139</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>559</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>72026</td>\n <td>180424</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>560</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>90444</td>\n <td>182562</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>561</th>\n <td>NO</td>\n <td>Married</td>\n <td>50403</td>\n <td>36861</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>562</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>78867</td>\n <td>100064</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>563</th>\n <td>YES</td>\n <td>Married</td>\n <td>95920</td>\n <td>116495</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>564</th>\n <td>YES</td>\n <td>Married</td>\n <td>41545</td>\n <td>30098</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>565</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>63912</td>\n <td>31064</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>566</th>\n <td>NO</td>\n <td>Married</td>\n <td>92498</td>\n <td>33460</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>567</th>\n <td>YES</td>\n <td>Single</td>\n <td>16316</td>\n <td>129912</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>568</th>\n <td>NO</td>\n <td>Single</td>\n <td>68617</td>\n <td>150036</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>569</th>\n <td>YES</td>\n <td>Single</td>\n <td>59860</td>\n <td>38074</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>570</th>\n <td>NO</td>\n <td>Single</td>\n <td>55981</td>\n <td>161629</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>571</th>\n <td>NO</td>\n <td>Single</td>\n <td>34833</td>\n <td>95421</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>572</th>\n <td>YES</td>\n <td>Married</td>\n <td>39818</td>\n <td>148068</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>573</th>\n <td>YES</td>\n <td>Married</td>\n <td>59227</td>\n <td>116161</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>574</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>44809</td>\n <td>28768</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>575</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>10735</td>\n <td>95975</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>576</th>\n <td>YES</td>\n <td>Married</td>\n <td>50242</td>\n <td>79653</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>577</th>\n <td>YES</td>\n <td>Married</td>\n <td>56166</td>\n <td>52940</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>578</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>42483</td>\n <td>185339</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>579</th>\n <td>YES</td>\n <td>Single</td>\n <td>70572</td>\n <td>125112</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>580</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>31721</td>\n <td>123335</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>581</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>31085</td>\n <td>57473</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>582</th>\n <td>YES</td>\n <td>Married</td>\n <td>84931</td>\n <td>32907</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>583</th>\n <td>NO</td>\n <td>Married</td>\n <td>69036</td>\n <td>28874</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>584</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>42679</td>\n <td>155684</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>585</th>\n <td>NO</td>\n <td>Single</td>\n <td>84557</td>\n <td>137622</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>586</th>\n <td>YES</td>\n <td>Single</td>\n <td>54126</td>\n <td>106230</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>587</th>\n <td>NO</td>\n <td>Single</td>\n <td>87685</td>\n <td>154677</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>588</th>\n <td>YES</td>\n <td>Married</td>\n <td>85076</td>\n <td>93242</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>589</th>\n <td>YES</td>\n <td>Married</td>\n <td>31633</td>\n <td>30774</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>590</th>\n <td>NO</td>\n <td>Married</td>\n <td>43018</td>\n <td>85195</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>591</th>\n <td>YES</td>\n <td>Single</td>\n <td>27394</td>\n <td>132859</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>592</th>\n <td>YES</td>\n <td>Single</td>\n <td>68152</td>\n <td>75143</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>593</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>84775</td>\n <td>131963</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>594</th>\n <td>NO</td>\n <td>Married</td>\n <td>47364</td>\n <td>97526</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>595</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>76340</td>\n <td>39492</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>596</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>69967</td>\n <td>55369</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>597</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>47334</td>\n <td>154058</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>598</th>\n <td>YES</td>\n <td>Married</td>\n <td>98592</td>\n <td>180083</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>599</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>96519</td>\n <td>158137</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " Undergrad Marital.Status Taxable.Income City.Population \\\n0 NO Single 68833 50047 \n1 YES Divorced 33700 134075 \n2 NO Married 36925 160205 \n3 YES Single 50190 193264 \n4 NO Married 81002 27533 \n5 NO Divorced 33329 116382 \n6 NO Divorced 83357 80890 \n7 YES Single 62774 131253 \n8 NO Single 83519 102481 \n9 YES Divorced 98152 155482 \n10 NO Single 29732 102602 \n11 NO Single 61063 94875 \n12 NO Divorced 11794 148033 \n13 NO Married 61830 86649 \n14 NO Married 64070 57529 \n15 NO Divorced 69869 107764 \n16 YES Divorced 24987 34551 \n17 YES Married 39476 57194 \n18 YES Divorced 97957 59269 \n19 NO Single 10987 126953 \n20 YES Single 88636 147222 \n21 YES Divorced 14310 29106 \n22 YES Divorced 78969 155342 \n23 NO Single 92040 50495 \n24 NO Divorced 38239 28495 \n25 NO Divorced 31417 124606 \n26 YES Divorced 55299 169128 \n27 YES Single 87778 28542 \n28 YES Single 10379 128766 \n29 YES Divorced 94033 41863 \n30 YES Divorced 73854 117788 \n31 NO Divorced 64007 147414 \n32 YES Married 97200 51911 \n33 YES Single 82071 157251 \n34 YES Divorced 12514 183767 \n35 YES Married 31336 41117 \n36 YES Married 10163 193995 \n37 NO Married 68513 66912 \n38 NO Single 14912 177575 \n39 NO Married 74010 54981 \n40 NO Single 50777 199697 \n41 YES Married 49436 91524 \n42 NO Single 96485 51666 \n43 YES Divorced 70339 50020 \n44 YES Divorced 33614 98880 \n45 YES Married 81079 183095 \n46 YES Married 31532 137346 \n47 YES Single 44034 34964 \n48 NO Married 16264 35480 \n49 NO Divorced 45706 160195 \n50 YES Single 79616 145804 \n51 YES Single 40137 174042 \n52 NO Single 97703 91828 \n53 YES Single 21917 139143 \n54 NO Divorced 81939 98207 \n55 YES Single 19925 89965 \n56 NO Married 34703 69832 \n57 NO Single 78573 70744 \n58 YES Single 10870 158047 \n59 NO Single 65065 102228 \n60 YES Married 94418 91138 \n61 YES Married 26972 86169 \n62 NO Divorced 91684 147684 \n63 YES Divorced 51685 95831 \n64 YES Single 62158 118261 \n65 NO Divorced 58312 194738 \n66 YES Married 42507 66985 \n67 YES Married 61486 173986 \n68 NO Single 10150 139642 \n69 YES Single 99619 86896 \n70 YES Divorced 89302 80904 \n71 NO Single 94287 105680 \n72 YES Divorced 41344 108300 \n73 YES Single 41382 174789 \n74 NO Divorced 32434 182319 \n75 NO Married 61105 50404 \n76 YES Married 67628 129164 \n77 YES Married 31458 118344 \n78 YES Divorced 73411 143153 \n79 NO Divorced 10329 140885 \n80 NO Married 44947 28184 \n81 YES Divorced 35610 121608 \n82 NO Divorced 66564 111068 \n83 NO Divorced 87348 73963 \n84 NO Married 69098 178083 \n85 YES Divorced 28449 125155 \n86 YES Divorced 39277 97520 \n87 YES Single 13747 64075 \n88 NO Married 86652 63896 \n89 YES Married 26741 176050 \n90 NO Divorced 77634 101232 \n91 YES Married 99325 73733 \n92 NO Divorced 85651 114621 \n93 YES Married 15296 137676 \n94 NO Single 10348 122705 \n95 YES Single 41395 121498 \n96 NO Single 22258 63622 \n97 YES Divorced 79583 37849 \n98 YES Married 22187 77053 \n99 NO Married 52495 114350 \n100 YES Single 93078 46444 \n101 YES Married 35072 50490 \n102 YES Divorced 32662 91488 \n103 NO Divorced 89250 76318 \n104 NO Single 41641 174423 \n105 NO Single 55873 46893 \n106 YES Single 19169 58535 \n107 NO Married 46629 52424 \n108 YES Married 51927 120894 \n109 YES Married 69224 178585 \n110 NO Single 24557 32450 \n111 NO Single 77762 164526 \n112 YES Single 96355 193038 \n113 YES Married 90910 100347 \n114 NO Single 21945 197934 \n115 YES Divorced 79357 78251 \n116 NO Married 42784 132570 \n117 NO Single 54638 96370 \n118 NO Divorced 29944 199174 \n119 NO Divorced 97318 47202 \n120 YES Single 52022 135886 \n121 YES Married 20391 86648 \n122 YES Married 21016 140762 \n123 YES Married 26679 79683 \n124 YES Divorced 70682 139324 \n125 YES Divorced 87326 155669 \n126 YES Divorced 15853 195022 \n127 NO Single 75501 93035 \n128 NO Married 97984 100897 \n129 YES Single 53378 65469 \n130 YES Single 93458 87730 \n131 YES Single 56501 174321 \n132 NO Divorced 46955 67820 \n133 NO Single 33492 86646 \n134 YES Married 35832 190365 \n135 YES Divorced 12470 75323 \n136 NO Divorced 53981 53513 \n137 YES Single 22773 115884 \n138 NO Single 84691 155335 \n139 YES Divorced 50087 86904 \n140 YES Married 27877 93390 \n141 YES Married 56647 194364 \n142 NO Single 59419 122654 \n143 YES Single 26783 154013 \n144 YES Single 79453 156503 \n145 NO Divorced 33962 197422 \n146 NO Divorced 84429 57931 \n147 YES Divorced 63057 163252 \n148 NO Married 43128 197038 \n149 NO Single 40220 49505 \n150 NO Married 79700 161759 \n151 NO Single 67083 109110 \n152 NO Single 22054 91889 \n153 YES Divorced 18192 114841 \n154 NO Single 25222 82520 \n155 YES Single 58635 139624 \n156 YES Married 39114 125987 \n157 YES Married 48738 115631 \n158 NO Divorced 28496 163347 \n159 YES Single 62209 28504 \n160 YES Divorced 87677 79972 \n161 YES Married 93659 185596 \n162 YES Married 56503 177468 \n163 YES Divorced 27081 91851 \n164 YES Single 48779 153192 \n165 YES Married 91304 38463 \n166 NO Married 49520 73466 \n167 NO Married 41117 194381 \n168 NO Divorced 18199 167629 \n169 YES Single 76992 76933 \n170 NO Divorced 98588 143402 \n171 YES Married 20719 103614 \n172 NO Married 13068 52819 \n173 YES Single 84835 105110 \n174 YES Single 44795 149857 \n175 YES Single 39052 57055 \n176 NO Married 38704 75169 \n177 NO Married 98416 31156 \n178 NO Single 86958 85832 \n179 YES Married 29222 192451 \n180 YES Single 71357 149101 \n181 NO Divorced 29543 36116 \n182 NO Divorced 23855 89632 \n183 NO Single 84836 39523 \n184 NO Divorced 93307 70138 \n185 NO Married 64614 92975 \n186 NO Married 72949 166976 \n187 NO Single 79211 59558 \n188 NO Divorced 28707 137569 \n189 YES Married 83229 189301 \n190 NO Single 73620 90459 \n191 NO Single 70819 176341 \n192 YES Married 48313 126556 \n193 YES Married 37481 198213 \n194 YES Single 20851 103981 \n195 YES Single 86079 181370 \n196 YES Married 10933 28410 \n197 NO Single 66905 98056 \n198 NO Single 36890 48025 \n199 YES Married 19060 145744 \n200 YES Single 61906 162777 \n201 YES Divorced 31088 58225 \n202 YES Single 70365 28661 \n203 YES Divorced 56536 117260 \n204 NO Married 16992 173091 \n205 NO Married 14300 131906 \n206 YES Single 51914 52227 \n207 YES Married 12083 138108 \n208 YES Single 71376 141502 \n209 YES Single 99307 186239 \n210 YES Single 35200 125993 \n211 YES Married 70812 57194 \n212 YES Divorced 62067 112659 \n213 YES Single 62365 107069 \n214 NO Divorced 80618 140159 \n215 NO Divorced 52891 28576 \n216 NO Divorced 31409 85128 \n217 YES Divorced 81790 179220 \n218 NO Married 57794 38091 \n219 YES Divorced 20604 26814 \n220 YES Divorced 83459 115168 \n221 YES Single 43051 134135 \n222 YES Divorced 68911 168248 \n223 YES Married 38374 192297 \n224 NO Married 86784 55717 \n225 YES Single 42488 125883 \n226 NO Single 35922 77719 \n227 YES Single 46610 182921 \n228 NO Married 28764 100696 \n229 NO Married 75170 35780 \n230 NO Married 24370 81593 \n231 YES Single 84083 153147 \n232 YES Married 11784 150349 \n233 NO Married 10003 63701 \n234 NO Single 98970 102498 \n235 NO Divorced 77735 87541 \n236 YES Married 46070 193193 \n237 NO Married 27143 128996 \n238 YES Single 56974 72968 \n239 NO Divorced 99109 76145 \n240 NO Single 32603 139146 \n241 YES Single 24215 31377 \n242 NO Divorced 33092 84368 \n243 NO Divorced 71297 181549 \n244 YES Single 68268 154647 \n245 NO Single 33810 183221 \n246 YES Single 49995 38139 \n247 YES Divorced 11865 108245 \n248 NO Single 28904 105374 \n249 YES Single 39144 35376 \n250 NO Married 31591 156973 \n251 YES Single 30167 173228 \n252 NO Single 72382 40855 \n253 YES Single 79869 77256 \n254 NO Divorced 70526 193263 \n255 YES Married 38143 170030 \n256 YES Married 70298 168568 \n257 YES Married 54747 31611 \n258 NO Divorced 92997 74119 \n259 NO Married 24347 197841 \n260 YES Single 57445 92333 \n261 NO Single 70645 68788 \n262 NO Divorced 69540 120415 \n263 YES Married 70712 69386 \n264 NO Single 32900 118899 \n265 NO Married 14326 101996 \n266 YES Married 43865 173276 \n267 NO Single 29046 183946 \n268 NO Single 95088 98378 \n269 YES Married 38586 125450 \n270 NO Married 30468 130680 \n271 NO Single 42254 183682 \n272 NO Single 32467 126488 \n273 YES Divorced 68404 58942 \n274 YES Married 58451 112584 \n275 YES Married 86208 55591 \n276 NO Single 62426 44251 \n277 NO Divorced 63710 117364 \n278 NO Married 25062 114823 \n279 YES Single 56438 74136 \n280 NO Divorced 17783 33184 \n281 NO Single 92426 167403 \n282 YES Married 64667 59590 \n283 YES Divorced 32483 129276 \n284 NO Divorced 15673 188383 \n285 NO Single 77511 63420 \n286 YES Divorced 76182 113724 \n287 YES Single 89831 77102 \n288 YES Married 12072 174196 \n289 NO Single 81231 196816 \n290 YES Married 48169 193003 \n291 YES Single 31699 62475 \n292 YES Single 15710 76406 \n293 NO Divorced 31645 43899 \n294 YES Single 98933 74074 \n295 YES Married 52912 40089 \n296 YES Divorced 68756 167600 \n297 NO Married 41087 36924 \n298 NO Single 46798 119904 \n299 YES Single 34475 197916 \n300 NO Married 98334 74052 \n301 YES Married 10900 39797 \n302 YES Divorced 61445 97109 \n303 YES Divorced 78796 189061 \n304 YES Divorced 62141 106757 \n305 NO Single 90945 161265 \n306 YES Divorced 88918 185099 \n307 NO Divorced 62873 31819 \n308 YES Married 70949 183445 \n309 YES Single 31521 123761 \n310 YES Divorced 59615 189435 \n311 NO Married 52111 50013 \n312 YES Single 34598 31641 \n313 YES Single 61124 124848 \n314 NO Single 59689 85255 \n315 YES Divorced 23075 176278 \n316 NO Married 48192 70323 \n317 YES Married 77367 116745 \n318 NO Divorced 82625 121324 \n319 YES Divorced 51802 153308 \n320 YES Single 78922 78897 \n321 NO Single 38670 84215 \n322 NO Divorced 48392 160932 \n323 YES Married 47425 165175 \n324 YES Single 73906 171288 \n325 NO Single 94013 25779 \n326 YES Divorced 27698 165001 \n327 YES Married 26793 162777 \n328 NO Divorced 67033 93414 \n329 NO Single 20109 39360 \n330 NO Married 95185 43176 \n331 YES Married 27684 60999 \n332 YES Divorced 98240 84132 \n333 YES Single 18032 44775 \n334 NO Single 46470 118274 \n335 YES Married 33301 140998 \n336 NO Married 62800 73146 \n337 YES Married 27520 73490 \n338 YES Divorced 26094 111264 \n339 YES Single 13571 110940 \n340 YES Married 36239 54437 \n341 NO Married 77082 83900 \n342 YES Married 71572 31097 \n343 YES Divorced 30495 161143 \n344 NO Married 49771 192313 \n345 YES Divorced 32905 118798 \n346 NO Single 21337 134635 \n347 NO Married 16082 80991 \n348 YES Single 43883 42269 \n349 YES Divorced 15491 72255 \n350 NO Married 48081 89949 \n351 YES Married 36317 114922 \n352 NO Divorced 15627 72115 \n353 YES Married 51028 141622 \n354 YES Married 14422 176891 \n355 YES Single 45525 56488 \n356 NO Married 23480 46480 \n357 NO Married 19184 84034 \n358 YES Single 80239 96432 \n359 YES Single 33215 157299 \n360 YES Single 65203 107937 \n361 YES Divorced 65190 62671 \n362 YES Divorced 16320 75552 \n363 YES Single 21696 52584 \n364 YES Married 56129 62943 \n365 NO Divorced 74971 134321 \n366 YES Married 33356 131469 \n367 YES Married 29607 95404 \n368 YES Divorced 95319 128428 \n369 NO Married 94413 89122 \n370 NO Divorced 78963 86119 \n371 YES Single 66865 75580 \n372 YES Married 40427 168473 \n373 NO Married 93733 175719 \n374 YES Divorced 63543 147614 \n375 NO Married 41184 130935 \n376 NO Divorced 96652 188067 \n377 YES Single 56555 103490 \n378 YES Divorced 36457 152471 \n379 NO Single 26101 112774 \n380 YES Married 36156 197699 \n381 NO Single 49958 61920 \n382 YES Divorced 68696 139269 \n383 YES Married 97453 148246 \n384 YES Married 68533 147346 \n385 NO Single 96438 140132 \n386 NO Single 50348 140642 \n387 YES Single 85016 56597 \n388 YES Divorced 73188 151636 \n389 YES Single 64225 183187 \n390 YES Single 64437 57324 \n391 NO Married 66330 29934 \n392 YES Divorced 26372 37776 \n393 NO Married 30714 68687 \n394 NO Divorced 84263 64990 \n395 YES Single 86531 183094 \n396 YES Single 93090 176330 \n397 NO Married 79373 91689 \n398 NO Married 17440 64070 \n399 NO Single 81536 74497 \n400 YES Married 62494 197421 \n401 NO Married 37580 73065 \n402 YES Divorced 60822 105376 \n403 NO Divorced 96032 130912 \n404 YES Divorced 91545 34334 \n405 NO Divorced 73313 140266 \n406 NO Married 54345 107688 \n407 NO Single 33138 52144 \n408 YES Divorced 33579 77059 \n409 NO Single 83094 163058 \n410 NO Divorced 90065 41152 \n411 NO Married 51913 46253 \n412 YES Single 81378 28446 \n413 YES Single 32236 112890 \n414 NO Divorced 97980 27300 \n415 NO Divorced 38626 131493 \n416 NO Single 64230 33982 \n417 NO Divorced 38183 76625 \n418 YES Divorced 89277 104183 \n419 NO Married 68269 138074 \n420 NO Divorced 58751 84473 \n421 YES Single 88720 135185 \n422 NO Divorced 99311 191983 \n423 NO Married 94528 80249 \n424 YES Married 72268 94199 \n425 YES Divorced 79593 121506 \n426 YES Divorced 94247 50373 \n427 NO Divorced 76700 99025 \n428 YES Married 12011 128266 \n429 NO Single 87935 153748 \n430 YES Married 98720 161215 \n431 NO Single 38638 168360 \n432 NO Married 37857 157217 \n433 NO Married 15532 129265 \n434 YES Single 22159 87188 \n435 NO Divorced 91547 111774 \n436 NO Divorced 98738 158057 \n437 YES Married 21966 117250 \n438 NO Single 14398 74697 \n439 YES Divorced 18572 48956 \n440 NO Single 77312 170407 \n441 NO Divorced 42074 70314 \n442 YES Single 82799 193775 \n443 YES Single 12659 189209 \n444 YES Single 19649 36956 \n445 NO Divorced 50119 128451 \n446 NO Single 18888 65708 \n447 NO Married 83061 166606 \n448 YES Single 39343 114597 \n449 NO Married 92007 27875 \n450 YES Divorced 78728 91936 \n451 YES Divorced 48640 108262 \n452 NO Single 92070 42620 \n453 YES Single 97341 41504 \n454 NO Married 97493 29602 \n455 NO Married 78400 65533 \n456 NO Single 52862 53788 \n457 NO Married 11804 36055 \n458 YES Single 10455 110892 \n459 YES Divorced 25766 125407 \n460 NO Divorced 58199 54701 \n461 NO Single 88613 163901 \n462 NO Divorced 16690 149327 \n463 NO Divorced 71164 40460 \n464 NO Married 48825 143349 \n465 NO Divorced 29236 116282 \n466 NO Married 59689 186013 \n467 YES Divorced 48940 106946 \n468 YES Divorced 64320 38814 \n469 YES Single 84845 65487 \n470 YES Married 52663 148686 \n471 NO Single 17957 192410 \n472 NO Married 69018 151963 \n473 YES Single 58496 147367 \n474 YES Divorced 99128 80729 \n475 NO Single 35868 36081 \n476 NO Single 79478 183057 \n477 YES Divorced 57402 158849 \n478 NO Divorced 73795 65242 \n479 YES Married 58403 68995 \n480 NO Divorced 85972 72252 \n481 YES Single 62998 120012 \n482 NO Single 32786 125771 \n483 NO Single 17962 100961 \n484 YES Married 59440 114646 \n485 NO Single 94772 52766 \n486 YES Single 80083 57230 \n487 YES Single 81026 83402 \n488 YES Single 86883 76718 \n489 YES Married 39444 148821 \n490 NO Married 35886 120996 \n491 NO Divorced 24541 82029 \n492 YES Single 54502 98123 \n493 NO Married 17183 103226 \n494 NO Single 39562 197045 \n495 NO Married 70157 59156 \n496 YES Divorced 72151 59382 \n497 NO Single 65170 100331 \n498 YES Single 67936 164924 \n499 YES Single 93339 48744 \n500 YES Single 57365 158780 \n501 NO Divorced 56628 55842 \n502 NO Married 83814 53240 \n503 YES Married 75324 81550 \n504 NO Divorced 46939 198571 \n505 NO Divorced 71428 74910 \n506 NO Single 23884 111105 \n507 YES Single 95145 101272 \n508 NO Single 46002 195357 \n509 NO Married 20309 65531 \n510 YES Married 72115 75436 \n511 NO Married 42769 153233 \n512 YES Single 91870 137948 \n513 NO Divorced 55308 140400 \n514 NO Divorced 60789 31380 \n515 NO Divorced 51363 87868 \n516 YES Single 99239 76337 \n517 NO Single 19272 195078 \n518 YES Single 44411 112591 \n519 YES Single 60915 162102 \n520 NO Divorced 98433 142426 \n521 NO Divorced 81867 51104 \n522 NO Divorced 43980 103343 \n523 NO Divorced 50286 42198 \n524 YES Married 29385 164391 \n525 YES Single 47565 75307 \n526 NO Divorced 26494 82565 \n527 NO Married 59243 180274 \n528 NO Married 91488 172612 \n529 NO Divorced 33116 83388 \n530 YES Divorced 93364 194421 \n531 YES Married 70743 124440 \n532 YES Divorced 34007 98662 \n533 NO Divorced 26128 54113 \n534 YES Married 33748 91567 \n535 NO Married 38896 189851 \n536 NO Single 40674 157025 \n537 YES Single 97111 100651 \n538 NO Married 54850 119976 \n539 YES Divorced 32948 57390 \n540 YES Single 12682 110308 \n541 YES Divorced 12453 191874 \n542 YES Married 34655 199778 \n543 NO Single 59351 130816 \n544 NO Single 29916 133877 \n545 YES Divorced 36532 109079 \n546 NO Married 94583 59091 \n547 YES Single 92819 42690 \n548 YES Divorced 76535 154393 \n549 NO Married 91220 74058 \n550 NO Married 71238 68160 \n551 YES Married 32356 123082 \n552 NO Single 89094 109191 \n553 NO Single 91462 26884 \n554 NO Divorced 75585 147788 \n555 NO Single 31629 53848 \n556 NO Single 42063 34242 \n557 YES Married 12810 157421 \n558 NO Divorced 85570 191139 \n559 YES Divorced 72026 180424 \n560 NO Divorced 90444 182562 \n561 NO Married 50403 36861 \n562 YES Divorced 78867 100064 \n563 YES Married 95920 116495 \n564 YES Married 41545 30098 \n565 NO Divorced 63912 31064 \n566 NO Married 92498 33460 \n567 YES Single 16316 129912 \n568 NO Single 68617 150036 \n569 YES Single 59860 38074 \n570 NO Single 55981 161629 \n571 NO Single 34833 95421 \n572 YES Married 39818 148068 \n573 YES Married 59227 116161 \n574 YES Divorced 44809 28768 \n575 NO Divorced 10735 95975 \n576 YES Married 50242 79653 \n577 YES Married 56166 52940 \n578 NO Divorced 42483 185339 \n579 YES Single 70572 125112 \n580 YES Divorced 31721 123335 \n581 YES Divorced 31085 57473 \n582 YES Married 84931 32907 \n583 NO Married 69036 28874 \n584 NO Divorced 42679 155684 \n585 NO Single 84557 137622 \n586 YES Single 54126 106230 \n587 NO Single 87685 154677 \n588 YES Married 85076 93242 \n589 YES Married 31633 30774 \n590 NO Married 43018 85195 \n591 YES Single 27394 132859 \n592 YES Single 68152 75143 \n593 NO Divorced 84775 131963 \n594 NO Married 47364 97526 \n595 YES Divorced 76340 39492 \n596 YES Divorced 69967 55369 \n597 NO Divorced 47334 154058 \n598 YES Married 98592 180083 \n599 NO Divorced 96519 158137 \n\n Work.Experience Urban \n0 10 YES \n1 18 YES \n2 30 YES \n3 15 YES \n4 28 NO \n5 0 NO \n6 8 YES \n7 3 YES \n8 12 YES \n9 4 YES \n10 19 YES \n11 6 YES \n12 14 YES \n13 16 YES \n14 13 YES \n15 29 NO \n16 29 NO \n17 25 NO \n18 6 NO \n19 30 YES \n20 26 NO \n21 7 YES \n22 14 NO \n23 12 YES \n24 30 NO \n25 27 YES \n26 15 NO \n27 12 YES \n28 5 YES \n29 30 YES \n30 0 YES \n31 21 NO \n32 23 NO \n33 21 NO \n34 1 YES \n35 30 YES \n36 5 YES \n37 5 YES \n38 3 NO \n39 16 YES \n40 26 YES \n41 1 NO \n42 12 NO \n43 10 NO \n44 22 NO \n45 14 YES \n46 27 YES \n47 2 NO \n48 12 NO \n49 15 YES \n50 3 YES \n51 30 NO \n52 23 NO \n53 7 YES \n54 23 NO \n55 16 YES \n56 25 YES \n57 13 NO \n58 15 NO \n59 11 NO \n60 23 NO \n61 8 NO \n62 13 YES \n63 9 NO \n64 15 NO \n65 29 NO \n66 12 YES \n67 24 NO \n68 5 NO \n69 29 NO \n70 3 YES \n71 22 NO \n72 27 YES \n73 2 YES \n74 17 NO \n75 19 YES \n76 11 NO \n77 26 NO \n78 0 NO \n79 7 YES \n80 26 NO \n81 24 NO \n82 26 YES \n83 18 YES \n84 4 YES \n85 12 YES \n86 29 YES \n87 23 NO \n88 24 YES \n89 20 NO \n90 29 NO \n91 10 YES \n92 13 NO \n93 3 YES \n94 6 YES \n95 28 YES \n96 17 NO \n97 19 YES \n98 18 YES \n99 12 NO \n100 25 NO \n101 20 YES \n102 23 NO \n103 5 YES \n104 14 NO \n105 15 NO \n106 20 YES \n107 6 YES \n108 10 YES \n109 8 YES \n110 19 YES \n111 11 YES \n112 26 YES \n113 7 YES \n114 7 NO \n115 21 YES \n116 12 NO \n117 29 YES \n118 10 NO \n119 30 YES \n120 11 YES \n121 16 YES \n122 26 NO \n123 26 NO \n124 13 NO \n125 11 NO \n126 3 YES \n127 28 YES \n128 27 YES \n129 26 NO \n130 7 YES \n131 16 YES \n132 12 NO \n133 14 YES \n134 28 NO \n135 19 YES \n136 9 NO \n137 6 NO \n138 25 NO \n139 20 NO \n140 4 YES \n141 23 YES \n142 26 YES \n143 11 NO \n144 29 YES \n145 2 YES \n146 28 YES \n147 28 NO \n148 21 NO \n149 25 NO \n150 28 NO \n151 10 NO \n152 16 NO \n153 28 NO \n154 29 YES \n155 7 NO \n156 3 YES \n157 5 NO \n158 11 NO \n159 1 NO \n160 0 YES \n161 30 YES \n162 21 YES \n163 15 YES \n164 28 NO \n165 23 YES \n166 22 YES \n167 25 NO \n168 30 NO \n169 6 YES \n170 10 NO \n171 24 NO \n172 23 YES \n173 16 YES \n174 8 NO \n175 13 NO \n176 28 NO \n177 13 YES \n178 15 YES \n179 22 YES \n180 19 NO \n181 20 NO \n182 4 YES \n183 30 YES \n184 15 YES \n185 0 YES \n186 19 YES \n187 5 YES \n188 10 NO \n189 11 YES \n190 19 NO \n191 7 YES \n192 10 YES \n193 25 NO \n194 28 NO \n195 13 YES \n196 21 NO \n197 4 YES \n198 28 YES \n199 9 YES \n200 17 YES \n201 27 YES \n202 0 YES \n203 4 NO \n204 14 NO \n205 20 YES \n206 16 YES \n207 28 NO \n208 3 NO \n209 25 YES \n210 13 YES \n211 8 YES \n212 14 NO \n213 13 NO \n214 16 NO \n215 22 NO \n216 22 NO \n217 19 YES \n218 19 NO \n219 9 NO \n220 30 NO \n221 14 NO \n222 27 NO \n223 17 YES \n224 25 YES \n225 0 YES \n226 28 NO \n227 17 YES \n228 9 YES \n229 10 NO \n230 14 YES \n231 2 NO \n232 2 NO \n233 19 YES \n234 14 NO \n235 9 NO \n236 3 NO \n237 3 YES \n238 9 YES \n239 26 NO \n240 30 YES \n241 18 YES \n242 2 YES \n243 10 YES \n244 27 NO \n245 24 NO \n246 25 NO \n247 1 NO \n248 17 YES \n249 0 YES \n250 16 NO \n251 7 NO \n252 28 YES \n253 29 NO \n254 26 NO \n255 8 NO \n256 14 NO \n257 17 YES \n258 28 YES \n259 7 NO \n260 28 NO \n261 7 YES \n262 21 NO \n263 21 YES \n264 5 NO \n265 4 YES \n266 17 YES \n267 11 NO \n268 3 YES \n269 13 YES \n270 5 NO \n271 20 NO \n272 1 YES \n273 20 NO \n274 25 NO \n275 0 YES \n276 17 YES \n277 11 NO \n278 11 NO \n279 12 YES \n280 1 NO \n281 7 YES \n282 29 NO \n283 22 NO \n284 22 YES \n285 10 NO \n286 6 NO \n287 1 YES \n288 21 YES \n289 14 NO \n290 30 YES \n291 26 YES \n292 1 YES \n293 21 YES \n294 2 NO \n295 10 NO \n296 26 NO \n297 15 NO \n298 21 YES \n299 7 NO \n300 30 NO \n301 11 NO \n302 27 NO \n303 13 YES \n304 23 YES \n305 29 YES \n306 12 NO \n307 25 NO \n308 30 NO \n309 20 YES \n310 22 YES \n311 19 NO \n312 18 NO \n313 2 NO \n314 4 NO \n315 19 NO \n316 25 NO \n317 23 NO \n318 14 YES \n319 24 YES \n320 11 YES \n321 6 YES \n322 24 YES \n323 13 NO \n324 15 NO \n325 16 YES \n326 19 YES \n327 7 NO \n328 12 YES \n329 10 NO \n330 29 NO \n331 15 YES \n332 1 NO \n333 13 YES \n334 13 YES \n335 15 NO \n336 5 NO \n337 7 NO \n338 23 NO \n339 10 NO \n340 21 YES \n341 8 YES \n342 7 YES \n343 17 NO \n344 5 YES \n345 6 NO \n346 30 YES \n347 0 YES \n348 2 NO \n349 30 YES \n350 25 NO \n351 12 NO \n352 16 YES \n353 29 NO \n354 27 YES \n355 17 NO \n356 27 NO \n357 28 NO \n358 24 YES \n359 11 NO \n360 5 YES \n361 20 NO \n362 17 YES \n363 7 YES \n364 17 NO \n365 10 YES \n366 30 NO \n367 24 YES \n368 14 NO \n369 28 NO \n370 5 YES \n371 5 NO \n372 9 NO \n373 21 YES \n374 9 YES \n375 2 NO \n376 26 NO \n377 30 NO \n378 6 NO \n379 13 NO \n380 2 NO \n381 4 NO \n382 29 NO \n383 5 YES \n384 25 NO \n385 27 NO \n386 27 YES \n387 9 YES \n388 4 YES \n389 5 YES \n390 17 NO \n391 1 NO \n392 15 NO \n393 30 YES \n394 21 YES \n395 5 NO \n396 21 NO \n397 14 YES \n398 2 YES \n399 21 NO \n400 16 NO \n401 20 NO \n402 11 NO \n403 27 YES \n404 21 YES \n405 28 NO \n406 2 NO \n407 6 NO \n408 22 NO \n409 1 NO \n410 27 NO \n411 19 NO \n412 11 NO \n413 11 YES \n414 1 YES \n415 21 NO \n416 30 NO \n417 2 NO \n418 18 NO \n419 20 NO \n420 2 NO \n421 13 NO \n422 14 YES \n423 19 YES \n424 0 YES \n425 27 NO \n426 25 YES \n427 10 NO \n428 24 YES \n429 30 YES \n430 8 NO \n431 25 YES \n432 11 YES \n433 14 YES \n434 19 YES \n435 4 YES \n436 4 YES \n437 20 YES \n438 14 NO \n439 8 NO \n440 13 YES \n441 24 NO \n442 27 NO \n443 9 NO \n444 14 NO \n445 12 NO \n446 28 NO \n447 5 YES \n448 28 YES \n449 11 NO \n450 8 YES \n451 10 YES \n452 10 NO \n453 26 NO \n454 15 YES \n455 23 YES \n456 23 YES \n457 24 YES \n458 18 YES \n459 21 NO \n460 10 YES \n461 6 YES \n462 17 NO \n463 3 YES \n464 16 YES \n465 21 NO \n466 16 NO \n467 20 YES \n468 18 YES \n469 13 YES \n470 26 NO \n471 21 YES \n472 11 YES \n473 16 YES \n474 0 NO \n475 12 YES \n476 7 YES \n477 29 NO \n478 6 NO \n479 21 NO \n480 26 YES \n481 13 NO \n482 12 NO \n483 10 NO \n484 28 YES \n485 23 NO \n486 29 YES \n487 13 YES \n488 10 YES \n489 6 NO \n490 24 NO \n491 10 NO \n492 18 YES \n493 29 NO \n494 13 YES \n495 24 NO \n496 5 YES \n497 3 NO \n498 24 YES \n499 2 YES \n500 11 YES \n501 4 YES \n502 1 YES \n503 17 YES \n504 19 YES \n505 15 YES \n506 8 YES \n507 24 YES \n508 19 NO \n509 27 YES \n510 14 YES \n511 5 YES \n512 22 YES \n513 10 NO \n514 6 NO \n515 13 NO \n516 18 YES \n517 26 NO \n518 26 YES \n519 25 YES \n520 8 YES \n521 15 NO \n522 10 NO \n523 12 NO \n524 27 NO \n525 23 NO \n526 12 NO \n527 27 NO \n528 10 NO \n529 14 NO \n530 17 YES \n531 14 YES \n532 16 NO \n533 19 YES \n534 13 YES \n535 3 NO \n536 14 NO \n537 6 NO \n538 12 NO \n539 8 NO \n540 22 NO \n541 30 YES \n542 27 NO \n543 13 NO \n544 21 YES \n545 8 NO \n546 6 NO \n547 25 YES \n548 9 YES \n549 11 YES \n550 2 YES \n551 0 YES \n552 5 YES \n553 13 YES \n554 27 NO \n555 10 NO \n556 12 NO \n557 10 NO \n558 12 YES \n559 26 NO \n560 24 NO \n561 29 YES \n562 12 NO \n563 6 YES \n564 11 YES \n565 28 NO \n566 28 NO \n567 30 NO \n568 22 YES \n569 12 YES \n570 29 YES \n571 7 YES \n572 13 NO \n573 20 NO \n574 29 YES \n575 13 YES \n576 15 YES \n577 5 YES \n578 6 NO \n579 7 YES \n580 1 YES \n581 10 YES \n582 12 YES \n583 19 NO \n584 4 YES \n585 2 YES \n586 30 NO \n587 26 YES \n588 27 YES \n589 10 NO \n590 14 YES \n591 18 YES \n592 16 NO \n593 10 YES \n594 9 YES \n595 7 YES \n596 2 YES \n597 0 YES \n598 17 NO \n599 16 NO " | |
| }, | |
| "execution_count": 420, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.063932Z", | |
| "start_time": "2023-02-26T17:15:45.041064Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "97b4736d", | |
| "cell_type": "code", | |
| "source": "tax=pd.cut(data['Taxable.Income'],bins=[1,30001,1000000000],labels=['risky','good'])\ntax", | |
| "execution_count": 421, | |
| "outputs": [ | |
| { | |
| "data": { | |
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good\n497 good\n498 good\n499 good\n500 good\n501 good\n502 good\n503 good\n504 good\n505 good\n506 risky\n507 good\n508 good\n509 risky\n510 good\n511 good\n512 good\n513 good\n514 good\n515 good\n516 good\n517 risky\n518 good\n519 good\n520 good\n521 good\n522 good\n523 good\n524 risky\n525 good\n526 risky\n527 good\n528 good\n529 good\n530 good\n531 good\n532 good\n533 risky\n534 good\n535 good\n536 good\n537 good\n538 good\n539 good\n540 risky\n541 risky\n542 good\n543 good\n544 risky\n545 good\n546 good\n547 good\n548 good\n549 good\n550 good\n551 good\n552 good\n553 good\n554 good\n555 good\n556 good\n557 risky\n558 good\n559 good\n560 good\n561 good\n562 good\n563 good\n564 good\n565 good\n566 good\n567 risky\n568 good\n569 good\n570 good\n571 good\n572 good\n573 good\n574 good\n575 risky\n576 good\n577 good\n578 good\n579 good\n580 good\n581 good\n582 good\n583 good\n584 good\n585 good\n586 good\n587 good\n588 good\n589 good\n590 good\n591 risky\n592 good\n593 good\n594 good\n595 good\n596 good\n597 good\n598 good\n599 good\nName: Taxable.Income, dtype: category\nCategories (2, object): ['risky' < 'good']" | |
| }, | |
| "execution_count": 421, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.159929Z", | |
| "start_time": "2023-02-26T17:15:45.063932Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "847f6390", | |
| "cell_type": "code", | |
| "source": "data['Taxable.Income']=tax\ndata", | |
| "execution_count": 422, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Undergrad</th>\n <th>Marital.Status</th>\n <th>Taxable.Income</th>\n <th>City.Population</th>\n <th>Work.Experience</th>\n <th>Urban</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>50047</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>1</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>134075</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>2</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>160205</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>3</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>193264</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>4</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>27533</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>5</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>116382</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>6</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>80890</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>7</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>131253</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>8</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>102481</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>9</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>155482</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>10</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>102602</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>11</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>94875</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>12</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>148033</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>13</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>86649</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>14</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>57529</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>15</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>107764</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>16</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>34551</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>17</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>57194</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>18</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>59269</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>19</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>126953</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>20</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>147222</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>21</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>29106</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>22</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>155342</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>23</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>50495</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>24</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>28495</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>25</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>124606</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>26</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>169128</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>27</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>28542</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>28</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>128766</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>29</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>41863</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>30</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>117788</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>31</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>147414</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>32</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>51911</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>33</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>157251</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>34</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>183767</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>35</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>41117</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>36</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>193995</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>37</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>66912</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>38</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>177575</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>39</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>54981</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>40</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>199697</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>41</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>91524</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>42</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>51666</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>43</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>50020</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>44</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>98880</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>45</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>183095</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>46</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>137346</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>47</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>34964</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>48</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>35480</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>49</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>160195</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>50</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>145804</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>51</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>174042</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>52</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>91828</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>53</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>139143</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>54</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>98207</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>55</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>89965</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>56</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>69832</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>57</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>70744</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>58</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>158047</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>59</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>102228</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>60</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>91138</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>61</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>86169</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>62</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>147684</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>63</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>95831</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>64</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>118261</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>65</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>194738</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>66</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>66985</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>67</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>173986</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>68</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>139642</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>69</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>86896</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>70</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>80904</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>71</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>105680</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>72</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>108300</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>73</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>174789</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>74</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>182319</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>75</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>50404</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>76</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>129164</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>77</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>118344</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>78</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>143153</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>79</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>140885</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>80</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>28184</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>81</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>121608</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>82</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>111068</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>83</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>73963</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>84</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>178083</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>85</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>125155</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>86</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>97520</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>87</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>64075</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>88</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>63896</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>89</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>176050</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>90</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>101232</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>91</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>73733</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>92</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>114621</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>93</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>137676</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>94</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>122705</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>95</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>121498</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>96</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>63622</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>97</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>37849</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>98</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>77053</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>99</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>114350</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>100</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>46444</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>101</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>50490</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>102</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>91488</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>103</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>76318</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>104</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>174423</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>105</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>46893</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>106</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>58535</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>107</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>52424</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>108</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>120894</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>109</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>178585</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>110</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>32450</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>111</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>164526</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>112</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>193038</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>113</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>100347</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>114</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>197934</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>115</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>78251</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>116</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>132570</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>117</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>96370</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>118</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>199174</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>119</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>47202</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>120</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>135886</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>121</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>86648</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>122</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>140762</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>123</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>79683</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>124</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>139324</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>125</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>155669</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>126</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>195022</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>127</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>93035</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>128</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>100897</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>129</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>65469</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>130</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>87730</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>131</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>174321</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>132</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>67820</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>133</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>86646</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>134</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>190365</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>135</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>75323</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>136</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>53513</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>137</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>115884</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>138</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>155335</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>139</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>86904</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>140</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>93390</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>141</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>194364</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>142</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>122654</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>143</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>154013</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>144</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>156503</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>145</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>197422</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>146</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>57931</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>147</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>163252</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>148</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>197038</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>149</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>49505</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>150</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>161759</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>151</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>109110</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>152</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>91889</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>153</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>114841</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>154</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>82520</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>155</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>139624</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>156</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>125987</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>157</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>115631</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>158</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>163347</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>159</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>28504</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>160</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>79972</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>161</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>185596</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>162</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>177468</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>163</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>91851</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>164</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>153192</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>165</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>38463</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>166</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>73466</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>167</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>194381</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>168</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>167629</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>169</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>76933</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>170</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>143402</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>171</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>103614</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>172</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>52819</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>173</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>105110</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>174</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>149857</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>175</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>57055</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>176</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>75169</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>177</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>31156</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>178</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>85832</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>179</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>192451</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>180</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>149101</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>181</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>36116</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>182</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>89632</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>183</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>39523</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>184</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>70138</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>185</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>92975</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>186</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>166976</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>187</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>59558</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>188</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>137569</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>189</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>189301</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>190</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>90459</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>191</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>176341</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>192</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>126556</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>193</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>198213</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>194</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>103981</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>195</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>181370</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>196</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>28410</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>197</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>98056</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>198</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>48025</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>199</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>145744</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>200</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>162777</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>201</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>58225</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>202</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>28661</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>203</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>117260</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>204</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>173091</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>205</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>131906</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>206</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>52227</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>207</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>138108</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>208</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>141502</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>209</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>186239</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>210</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>125993</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>211</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>57194</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>212</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>112659</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>213</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>107069</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>214</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>140159</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>215</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>28576</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>216</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>85128</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>217</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>179220</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>218</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>38091</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>219</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>26814</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>220</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>115168</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>221</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>134135</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>222</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>168248</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>223</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>192297</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>224</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>55717</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>225</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>125883</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>226</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>77719</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>227</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>182921</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>228</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>100696</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>229</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>35780</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>230</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>81593</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>231</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>153147</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>232</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>150349</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>233</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>63701</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>234</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>102498</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>235</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>87541</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>236</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>193193</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>237</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>128996</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>238</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>72968</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>239</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>76145</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>240</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>139146</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>241</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>31377</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>242</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>84368</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>243</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>181549</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>244</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>154647</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>245</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>183221</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>246</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>38139</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>247</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>108245</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>248</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>105374</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>249</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>35376</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>250</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>156973</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>251</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>173228</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>252</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>40855</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>253</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>77256</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>254</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>193263</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>255</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>170030</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>256</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>168568</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>257</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>31611</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>258</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>74119</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>259</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>197841</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>260</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>92333</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>261</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>68788</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>262</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>120415</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>263</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>69386</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>264</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>118899</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>265</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>101996</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>266</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>173276</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>267</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>183946</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>268</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>98378</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>269</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>125450</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>270</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>130680</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>271</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>183682</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>272</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>126488</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>273</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>58942</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>274</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>112584</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>275</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>55591</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>276</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>44251</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>277</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>117364</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>278</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>114823</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>279</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>74136</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>280</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>33184</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>281</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>167403</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>282</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>59590</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>283</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>129276</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>284</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>188383</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>285</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>63420</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>286</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>113724</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>287</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>77102</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>288</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>174196</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>289</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>196816</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>290</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>193003</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>291</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>62475</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>292</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>76406</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>293</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>43899</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>294</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>74074</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>295</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>40089</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>296</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>167600</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>297</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>36924</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>298</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>119904</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>299</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>197916</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>300</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>74052</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>301</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>39797</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>302</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>97109</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>303</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>189061</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>304</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>106757</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>305</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>161265</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>306</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>185099</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>307</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>31819</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>308</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>183445</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>309</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>123761</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>310</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>189435</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>311</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>50013</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>312</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>31641</td>\n <td>18</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>313</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>124848</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>314</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>85255</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>315</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>176278</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>316</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>70323</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>317</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>116745</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>318</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>121324</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>319</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>153308</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>320</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>78897</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>321</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>84215</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>322</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>160932</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>323</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>165175</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>324</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>171288</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>325</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>25779</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>326</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>165001</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>327</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>162777</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>328</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>93414</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>329</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>39360</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>330</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>43176</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>331</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>60999</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>332</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>84132</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>333</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>44775</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>334</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>118274</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>335</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>140998</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>336</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>73146</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>337</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>73490</td>\n <td>7</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>338</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>111264</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>339</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>110940</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>340</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>54437</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>341</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>83900</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>342</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>31097</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>343</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>161143</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>344</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>192313</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>345</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>118798</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>346</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>134635</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>347</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>80991</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>348</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>42269</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>349</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>72255</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>350</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>89949</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>351</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>114922</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>352</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>72115</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>353</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>141622</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>354</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>176891</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>355</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>56488</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>356</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>46480</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>357</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>84034</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>358</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>96432</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>359</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>157299</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>360</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>107937</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>361</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>62671</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>362</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>75552</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>363</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>52584</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>364</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>62943</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>365</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>134321</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>366</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>131469</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>367</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>95404</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>368</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>128428</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>369</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>89122</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>370</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>86119</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>371</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>75580</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>372</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>168473</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>373</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>175719</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>374</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>147614</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>375</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>130935</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>376</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>188067</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>377</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>103490</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>378</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>152471</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>379</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>112774</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>380</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>197699</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>381</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>61920</td>\n <td>4</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>382</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>139269</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>383</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>148246</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>384</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>147346</td>\n <td>25</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>385</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>140132</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>386</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>140642</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>387</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>56597</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>388</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>151636</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>389</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>183187</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>390</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>57324</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>391</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>29934</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>392</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>37776</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>393</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>68687</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>394</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>64990</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>395</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>183094</td>\n <td>5</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>396</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>176330</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>397</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>91689</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>398</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>64070</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>399</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>74497</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>400</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>197421</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>401</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>73065</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>402</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>105376</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>403</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>130912</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>404</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>34334</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>405</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>140266</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>406</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>107688</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>407</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>52144</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>408</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>77059</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>409</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>163058</td>\n <td>1</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>410</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>41152</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>411</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>46253</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>412</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>28446</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>413</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>112890</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>414</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>27300</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>415</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>131493</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>416</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>33982</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>417</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>76625</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>418</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>104183</td>\n <td>18</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>419</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>138074</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>420</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>84473</td>\n <td>2</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>421</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>135185</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>422</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>191983</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>423</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>80249</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>424</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>94199</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>425</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>121506</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>426</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>50373</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>427</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>99025</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>428</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>128266</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>429</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>153748</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>430</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>161215</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>431</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>168360</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>432</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>157217</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>433</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>129265</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>434</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>87188</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>435</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>111774</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>436</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>158057</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>437</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>117250</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>438</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>74697</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>439</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>48956</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>440</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>170407</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>441</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>70314</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>442</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>193775</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>443</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>189209</td>\n <td>9</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>444</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>36956</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>445</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>128451</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>446</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>65708</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>447</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>166606</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>448</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>114597</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>449</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>27875</td>\n <td>11</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>450</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>91936</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>451</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>108262</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>452</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>42620</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>453</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>41504</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>454</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>29602</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>455</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>65533</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>456</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>53788</td>\n <td>23</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>457</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>36055</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>458</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>110892</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>459</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>125407</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>460</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>54701</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>461</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>163901</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>462</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>149327</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>463</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>40460</td>\n <td>3</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>464</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>143349</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>465</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>116282</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>466</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>186013</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>467</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>106946</td>\n <td>20</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>468</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>38814</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>469</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>65487</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>470</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>148686</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>471</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>192410</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>472</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>151963</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>473</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>147367</td>\n <td>16</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>474</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>80729</td>\n <td>0</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>475</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>36081</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>476</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>183057</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>477</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>158849</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>478</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>65242</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>479</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>68995</td>\n <td>21</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>480</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>72252</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>481</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>120012</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>482</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>125771</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>483</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>100961</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>484</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>114646</td>\n <td>28</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>485</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>52766</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>486</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>57230</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>487</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>83402</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>488</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>76718</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>489</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>148821</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>490</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>120996</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>491</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>82029</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>492</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>98123</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>493</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>103226</td>\n <td>29</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>494</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>197045</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>495</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>59156</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>496</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>59382</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>497</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>100331</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>498</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>164924</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>499</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>48744</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>500</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>158780</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>501</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>55842</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>502</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>53240</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>503</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>81550</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>504</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>198571</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>505</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>74910</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>506</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>111105</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>507</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>101272</td>\n <td>24</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>508</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>195357</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>509</th>\n <td>NO</td>\n <td>Married</td>\n <td>risky</td>\n <td>65531</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>510</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>75436</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>511</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>153233</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>512</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>137948</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>513</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>140400</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>514</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>31380</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>515</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>87868</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>516</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>76337</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>517</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>195078</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>518</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>112591</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>519</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>162102</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>520</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>142426</td>\n <td>8</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>521</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>51104</td>\n <td>15</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>522</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>103343</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>523</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>42198</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>524</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>164391</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>525</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>75307</td>\n <td>23</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>526</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>82565</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>527</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>180274</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>528</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>172612</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>529</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>83388</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>530</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>194421</td>\n <td>17</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>531</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>124440</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>532</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>98662</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>533</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>54113</td>\n <td>19</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>534</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>91567</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>535</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>189851</td>\n <td>3</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>536</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>157025</td>\n <td>14</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>537</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>100651</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>538</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>119976</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>539</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>57390</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>540</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>110308</td>\n <td>22</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>541</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>191874</td>\n <td>30</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>542</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>199778</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>543</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>130816</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>544</th>\n <td>NO</td>\n <td>Single</td>\n <td>risky</td>\n <td>133877</td>\n <td>21</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>545</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>109079</td>\n <td>8</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>546</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>59091</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>547</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>42690</td>\n <td>25</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>548</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>154393</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>549</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>74058</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>550</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>68160</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>551</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>123082</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>552</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>109191</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>553</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>26884</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>554</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>147788</td>\n <td>27</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>555</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>53848</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>556</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>34242</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>557</th>\n <td>YES</td>\n <td>Married</td>\n <td>risky</td>\n <td>157421</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>558</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>191139</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>559</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>180424</td>\n <td>26</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>560</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>182562</td>\n <td>24</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>561</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>36861</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>562</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>100064</td>\n <td>12</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>563</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>116495</td>\n <td>6</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>564</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>30098</td>\n <td>11</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>565</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>31064</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>566</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>33460</td>\n <td>28</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>567</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>129912</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>568</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>150036</td>\n <td>22</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>569</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>38074</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>570</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>161629</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>571</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>95421</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>572</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>148068</td>\n <td>13</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>573</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>116161</td>\n <td>20</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>574</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>28768</td>\n <td>29</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>575</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>risky</td>\n <td>95975</td>\n <td>13</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>576</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>79653</td>\n <td>15</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>577</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>52940</td>\n <td>5</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>578</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>185339</td>\n <td>6</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>579</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>125112</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>580</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>123335</td>\n <td>1</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>581</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>57473</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>582</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>32907</td>\n <td>12</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>583</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>28874</td>\n <td>19</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>584</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>155684</td>\n <td>4</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>585</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>137622</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>586</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>106230</td>\n <td>30</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>587</th>\n <td>NO</td>\n <td>Single</td>\n <td>good</td>\n <td>154677</td>\n <td>26</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>588</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>93242</td>\n <td>27</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>589</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>30774</td>\n <td>10</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>590</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>85195</td>\n <td>14</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>591</th>\n <td>YES</td>\n <td>Single</td>\n <td>risky</td>\n <td>132859</td>\n <td>18</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>592</th>\n <td>YES</td>\n <td>Single</td>\n <td>good</td>\n <td>75143</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>593</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>131963</td>\n <td>10</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>594</th>\n <td>NO</td>\n <td>Married</td>\n <td>good</td>\n <td>97526</td>\n <td>9</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>595</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>39492</td>\n <td>7</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>596</th>\n <td>YES</td>\n <td>Divorced</td>\n <td>good</td>\n <td>55369</td>\n <td>2</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>597</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>154058</td>\n <td>0</td>\n <td>YES</td>\n </tr>\n <tr>\n <th>598</th>\n <td>YES</td>\n <td>Married</td>\n <td>good</td>\n <td>180083</td>\n <td>17</td>\n <td>NO</td>\n </tr>\n <tr>\n <th>599</th>\n <td>NO</td>\n <td>Divorced</td>\n <td>good</td>\n <td>158137</td>\n <td>16</td>\n <td>NO</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " Undergrad Marital.Status Taxable.Income City.Population Work.Experience \\\n0 NO Single good 50047 10 \n1 YES Divorced good 134075 18 \n2 NO Married good 160205 30 \n3 YES Single good 193264 15 \n4 NO Married good 27533 28 \n5 NO Divorced good 116382 0 \n6 NO Divorced good 80890 8 \n7 YES Single good 131253 3 \n8 NO Single good 102481 12 \n9 YES Divorced good 155482 4 \n10 NO Single risky 102602 19 \n11 NO Single good 94875 6 \n12 NO Divorced risky 148033 14 \n13 NO Married good 86649 16 \n14 NO Married good 57529 13 \n15 NO Divorced good 107764 29 \n16 YES Divorced risky 34551 29 \n17 YES Married good 57194 25 \n18 YES Divorced good 59269 6 \n19 NO Single risky 126953 30 \n20 YES Single good 147222 26 \n21 YES Divorced risky 29106 7 \n22 YES Divorced good 155342 14 \n23 NO Single good 50495 12 \n24 NO Divorced good 28495 30 \n25 NO Divorced good 124606 27 \n26 YES Divorced good 169128 15 \n27 YES Single good 28542 12 \n28 YES Single risky 128766 5 \n29 YES Divorced good 41863 30 \n30 YES Divorced good 117788 0 \n31 NO Divorced good 147414 21 \n32 YES Married good 51911 23 \n33 YES Single good 157251 21 \n34 YES Divorced risky 183767 1 \n35 YES Married good 41117 30 \n36 YES Married risky 193995 5 \n37 NO Married good 66912 5 \n38 NO Single risky 177575 3 \n39 NO Married good 54981 16 \n40 NO Single good 199697 26 \n41 YES Married good 91524 1 \n42 NO Single good 51666 12 \n43 YES Divorced good 50020 10 \n44 YES Divorced good 98880 22 \n45 YES Married good 183095 14 \n46 YES Married good 137346 27 \n47 YES Single good 34964 2 \n48 NO Married risky 35480 12 \n49 NO Divorced good 160195 15 \n50 YES Single good 145804 3 \n51 YES Single good 174042 30 \n52 NO Single good 91828 23 \n53 YES Single risky 139143 7 \n54 NO Divorced good 98207 23 \n55 YES Single risky 89965 16 \n56 NO Married good 69832 25 \n57 NO Single good 70744 13 \n58 YES Single risky 158047 15 \n59 NO Single good 102228 11 \n60 YES Married good 91138 23 \n61 YES Married risky 86169 8 \n62 NO Divorced good 147684 13 \n63 YES Divorced good 95831 9 \n64 YES Single good 118261 15 \n65 NO Divorced good 194738 29 \n66 YES Married good 66985 12 \n67 YES Married good 173986 24 \n68 NO Single risky 139642 5 \n69 YES Single good 86896 29 \n70 YES Divorced good 80904 3 \n71 NO Single good 105680 22 \n72 YES Divorced good 108300 27 \n73 YES Single good 174789 2 \n74 NO Divorced good 182319 17 \n75 NO Married good 50404 19 \n76 YES Married good 129164 11 \n77 YES Married good 118344 26 \n78 YES Divorced good 143153 0 \n79 NO Divorced risky 140885 7 \n80 NO Married good 28184 26 \n81 YES Divorced good 121608 24 \n82 NO Divorced good 111068 26 \n83 NO Divorced good 73963 18 \n84 NO Married good 178083 4 \n85 YES Divorced risky 125155 12 \n86 YES Divorced good 97520 29 \n87 YES Single risky 64075 23 \n88 NO Married good 63896 24 \n89 YES Married risky 176050 20 \n90 NO Divorced good 101232 29 \n91 YES Married good 73733 10 \n92 NO Divorced good 114621 13 \n93 YES Married risky 137676 3 \n94 NO Single risky 122705 6 \n95 YES Single good 121498 28 \n96 NO Single risky 63622 17 \n97 YES Divorced good 37849 19 \n98 YES Married risky 77053 18 \n99 NO Married good 114350 12 \n100 YES Single good 46444 25 \n101 YES Married good 50490 20 \n102 YES Divorced good 91488 23 \n103 NO Divorced good 76318 5 \n104 NO Single good 174423 14 \n105 NO Single good 46893 15 \n106 YES Single risky 58535 20 \n107 NO Married good 52424 6 \n108 YES Married good 120894 10 \n109 YES Married good 178585 8 \n110 NO Single risky 32450 19 \n111 NO Single good 164526 11 \n112 YES Single good 193038 26 \n113 YES Married good 100347 7 \n114 NO Single risky 197934 7 \n115 YES Divorced good 78251 21 \n116 NO Married good 132570 12 \n117 NO Single good 96370 29 \n118 NO Divorced risky 199174 10 \n119 NO Divorced good 47202 30 \n120 YES Single good 135886 11 \n121 YES Married risky 86648 16 \n122 YES Married risky 140762 26 \n123 YES Married risky 79683 26 \n124 YES Divorced good 139324 13 \n125 YES Divorced good 155669 11 \n126 YES Divorced risky 195022 3 \n127 NO Single good 93035 28 \n128 NO Married good 100897 27 \n129 YES Single good 65469 26 \n130 YES Single good 87730 7 \n131 YES Single good 174321 16 \n132 NO Divorced good 67820 12 \n133 NO Single good 86646 14 \n134 YES Married good 190365 28 \n135 YES Divorced risky 75323 19 \n136 NO Divorced good 53513 9 \n137 YES Single risky 115884 6 \n138 NO Single good 155335 25 \n139 YES Divorced good 86904 20 \n140 YES Married risky 93390 4 \n141 YES Married good 194364 23 \n142 NO Single good 122654 26 \n143 YES Single risky 154013 11 \n144 YES Single good 156503 29 \n145 NO Divorced good 197422 2 \n146 NO Divorced good 57931 28 \n147 YES Divorced good 163252 28 \n148 NO Married good 197038 21 \n149 NO Single good 49505 25 \n150 NO Married good 161759 28 \n151 NO Single good 109110 10 \n152 NO Single risky 91889 16 \n153 YES Divorced risky 114841 28 \n154 NO Single risky 82520 29 \n155 YES Single good 139624 7 \n156 YES Married good 125987 3 \n157 YES Married good 115631 5 \n158 NO Divorced risky 163347 11 \n159 YES Single good 28504 1 \n160 YES Divorced good 79972 0 \n161 YES Married good 185596 30 \n162 YES Married good 177468 21 \n163 YES Divorced risky 91851 15 \n164 YES Single good 153192 28 \n165 YES Married good 38463 23 \n166 NO Married good 73466 22 \n167 NO Married good 194381 25 \n168 NO Divorced risky 167629 30 \n169 YES Single good 76933 6 \n170 NO Divorced good 143402 10 \n171 YES Married risky 103614 24 \n172 NO Married risky 52819 23 \n173 YES Single good 105110 16 \n174 YES Single good 149857 8 \n175 YES Single good 57055 13 \n176 NO Married good 75169 28 \n177 NO Married good 31156 13 \n178 NO Single good 85832 15 \n179 YES Married risky 192451 22 \n180 YES Single good 149101 19 \n181 NO Divorced risky 36116 20 \n182 NO Divorced risky 89632 4 \n183 NO Single good 39523 30 \n184 NO Divorced good 70138 15 \n185 NO Married good 92975 0 \n186 NO Married good 166976 19 \n187 NO Single good 59558 5 \n188 NO Divorced risky 137569 10 \n189 YES Married good 189301 11 \n190 NO Single good 90459 19 \n191 NO Single good 176341 7 \n192 YES Married good 126556 10 \n193 YES Married good 198213 25 \n194 YES Single risky 103981 28 \n195 YES Single good 181370 13 \n196 YES Married risky 28410 21 \n197 NO Single good 98056 4 \n198 NO Single good 48025 28 \n199 YES Married risky 145744 9 \n200 YES Single good 162777 17 \n201 YES Divorced good 58225 27 \n202 YES Single good 28661 0 \n203 YES Divorced good 117260 4 \n204 NO Married risky 173091 14 \n205 NO Married risky 131906 20 \n206 YES Single good 52227 16 \n207 YES Married risky 138108 28 \n208 YES Single good 141502 3 \n209 YES Single good 186239 25 \n210 YES Single good 125993 13 \n211 YES Married good 57194 8 \n212 YES Divorced good 112659 14 \n213 YES Single good 107069 13 \n214 NO Divorced good 140159 16 \n215 NO Divorced good 28576 22 \n216 NO Divorced good 85128 22 \n217 YES Divorced good 179220 19 \n218 NO Married good 38091 19 \n219 YES Divorced risky 26814 9 \n220 YES Divorced good 115168 30 \n221 YES Single good 134135 14 \n222 YES Divorced good 168248 27 \n223 YES Married good 192297 17 \n224 NO Married good 55717 25 \n225 YES Single good 125883 0 \n226 NO Single good 77719 28 \n227 YES Single good 182921 17 \n228 NO Married risky 100696 9 \n229 NO Married good 35780 10 \n230 NO Married risky 81593 14 \n231 YES Single good 153147 2 \n232 YES Married risky 150349 2 \n233 NO Married risky 63701 19 \n234 NO Single good 102498 14 \n235 NO Divorced good 87541 9 \n236 YES Married good 193193 3 \n237 NO Married risky 128996 3 \n238 YES Single good 72968 9 \n239 NO Divorced good 76145 26 \n240 NO Single good 139146 30 \n241 YES Single risky 31377 18 \n242 NO Divorced good 84368 2 \n243 NO Divorced good 181549 10 \n244 YES Single good 154647 27 \n245 NO Single good 183221 24 \n246 YES Single good 38139 25 \n247 YES Divorced risky 108245 1 \n248 NO Single risky 105374 17 \n249 YES Single good 35376 0 \n250 NO Married good 156973 16 \n251 YES Single good 173228 7 \n252 NO Single good 40855 28 \n253 YES Single good 77256 29 \n254 NO Divorced good 193263 26 \n255 YES Married good 170030 8 \n256 YES Married good 168568 14 \n257 YES Married good 31611 17 \n258 NO Divorced good 74119 28 \n259 NO Married risky 197841 7 \n260 YES Single good 92333 28 \n261 NO Single good 68788 7 \n262 NO Divorced good 120415 21 \n263 YES Married good 69386 21 \n264 NO Single good 118899 5 \n265 NO Married risky 101996 4 \n266 YES Married good 173276 17 \n267 NO Single risky 183946 11 \n268 NO Single good 98378 3 \n269 YES Married good 125450 13 \n270 NO Married good 130680 5 \n271 NO Single good 183682 20 \n272 NO Single good 126488 1 \n273 YES Divorced good 58942 20 \n274 YES Married good 112584 25 \n275 YES Married good 55591 0 \n276 NO Single good 44251 17 \n277 NO Divorced good 117364 11 \n278 NO Married risky 114823 11 \n279 YES Single good 74136 12 \n280 NO Divorced risky 33184 1 \n281 NO Single good 167403 7 \n282 YES Married good 59590 29 \n283 YES Divorced good 129276 22 \n284 NO Divorced risky 188383 22 \n285 NO Single good 63420 10 \n286 YES Divorced good 113724 6 \n287 YES Single good 77102 1 \n288 YES Married risky 174196 21 \n289 NO Single good 196816 14 \n290 YES Married good 193003 30 \n291 YES Single good 62475 26 \n292 YES Single risky 76406 1 \n293 NO Divorced good 43899 21 \n294 YES Single good 74074 2 \n295 YES Married good 40089 10 \n296 YES Divorced good 167600 26 \n297 NO Married good 36924 15 \n298 NO Single good 119904 21 \n299 YES Single good 197916 7 \n300 NO Married good 74052 30 \n301 YES Married risky 39797 11 \n302 YES Divorced good 97109 27 \n303 YES Divorced good 189061 13 \n304 YES Divorced good 106757 23 \n305 NO Single good 161265 29 \n306 YES Divorced good 185099 12 \n307 NO Divorced good 31819 25 \n308 YES Married good 183445 30 \n309 YES Single good 123761 20 \n310 YES Divorced good 189435 22 \n311 NO Married good 50013 19 \n312 YES Single good 31641 18 \n313 YES Single good 124848 2 \n314 NO Single good 85255 4 \n315 YES Divorced risky 176278 19 \n316 NO Married good 70323 25 \n317 YES Married good 116745 23 \n318 NO Divorced good 121324 14 \n319 YES Divorced good 153308 24 \n320 YES Single good 78897 11 \n321 NO Single good 84215 6 \n322 NO Divorced good 160932 24 \n323 YES Married good 165175 13 \n324 YES Single good 171288 15 \n325 NO Single good 25779 16 \n326 YES Divorced risky 165001 19 \n327 YES Married risky 162777 7 \n328 NO Divorced good 93414 12 \n329 NO Single risky 39360 10 \n330 NO Married good 43176 29 \n331 YES Married risky 60999 15 \n332 YES Divorced good 84132 1 \n333 YES Single risky 44775 13 \n334 NO Single good 118274 13 \n335 YES Married good 140998 15 \n336 NO Married good 73146 5 \n337 YES Married risky 73490 7 \n338 YES Divorced risky 111264 23 \n339 YES Single risky 110940 10 \n340 YES Married good 54437 21 \n341 NO Married good 83900 8 \n342 YES Married good 31097 7 \n343 YES Divorced good 161143 17 \n344 NO Married good 192313 5 \n345 YES Divorced good 118798 6 \n346 NO Single risky 134635 30 \n347 NO Married risky 80991 0 \n348 YES Single good 42269 2 \n349 YES Divorced risky 72255 30 \n350 NO Married good 89949 25 \n351 YES Married good 114922 12 \n352 NO Divorced risky 72115 16 \n353 YES Married good 141622 29 \n354 YES Married risky 176891 27 \n355 YES Single good 56488 17 \n356 NO Married risky 46480 27 \n357 NO Married risky 84034 28 \n358 YES Single good 96432 24 \n359 YES Single good 157299 11 \n360 YES Single good 107937 5 \n361 YES Divorced good 62671 20 \n362 YES Divorced risky 75552 17 \n363 YES Single risky 52584 7 \n364 YES Married good 62943 17 \n365 NO Divorced good 134321 10 \n366 YES Married good 131469 30 \n367 YES Married risky 95404 24 \n368 YES Divorced good 128428 14 \n369 NO Married good 89122 28 \n370 NO Divorced good 86119 5 \n371 YES Single good 75580 5 \n372 YES Married good 168473 9 \n373 NO Married good 175719 21 \n374 YES Divorced good 147614 9 \n375 NO Married good 130935 2 \n376 NO Divorced good 188067 26 \n377 YES Single good 103490 30 \n378 YES Divorced good 152471 6 \n379 NO Single risky 112774 13 \n380 YES Married good 197699 2 \n381 NO Single good 61920 4 \n382 YES Divorced good 139269 29 \n383 YES Married good 148246 5 \n384 YES Married good 147346 25 \n385 NO Single good 140132 27 \n386 NO Single good 140642 27 \n387 YES Single good 56597 9 \n388 YES Divorced good 151636 4 \n389 YES Single good 183187 5 \n390 YES Single good 57324 17 \n391 NO Married good 29934 1 \n392 YES Divorced risky 37776 15 \n393 NO Married good 68687 30 \n394 NO Divorced good 64990 21 \n395 YES Single good 183094 5 \n396 YES Single good 176330 21 \n397 NO Married good 91689 14 \n398 NO Married risky 64070 2 \n399 NO Single good 74497 21 \n400 YES Married good 197421 16 \n401 NO Married good 73065 20 \n402 YES Divorced good 105376 11 \n403 NO Divorced good 130912 27 \n404 YES Divorced good 34334 21 \n405 NO Divorced good 140266 28 \n406 NO Married good 107688 2 \n407 NO Single good 52144 6 \n408 YES Divorced good 77059 22 \n409 NO Single good 163058 1 \n410 NO Divorced good 41152 27 \n411 NO Married good 46253 19 \n412 YES Single good 28446 11 \n413 YES Single good 112890 11 \n414 NO Divorced good 27300 1 \n415 NO Divorced good 131493 21 \n416 NO Single good 33982 30 \n417 NO Divorced good 76625 2 \n418 YES Divorced good 104183 18 \n419 NO Married good 138074 20 \n420 NO Divorced good 84473 2 \n421 YES Single good 135185 13 \n422 NO Divorced good 191983 14 \n423 NO Married good 80249 19 \n424 YES Married good 94199 0 \n425 YES Divorced good 121506 27 \n426 YES Divorced good 50373 25 \n427 NO Divorced good 99025 10 \n428 YES Married risky 128266 24 \n429 NO Single good 153748 30 \n430 YES Married good 161215 8 \n431 NO Single good 168360 25 \n432 NO Married good 157217 11 \n433 NO Married risky 129265 14 \n434 YES Single risky 87188 19 \n435 NO Divorced good 111774 4 \n436 NO Divorced good 158057 4 \n437 YES Married risky 117250 20 \n438 NO Single risky 74697 14 \n439 YES Divorced risky 48956 8 \n440 NO Single good 170407 13 \n441 NO Divorced good 70314 24 \n442 YES Single good 193775 27 \n443 YES Single risky 189209 9 \n444 YES Single risky 36956 14 \n445 NO Divorced good 128451 12 \n446 NO Single risky 65708 28 \n447 NO Married good 166606 5 \n448 YES Single good 114597 28 \n449 NO Married good 27875 11 \n450 YES Divorced good 91936 8 \n451 YES Divorced good 108262 10 \n452 NO Single good 42620 10 \n453 YES Single good 41504 26 \n454 NO Married good 29602 15 \n455 NO Married good 65533 23 \n456 NO Single good 53788 23 \n457 NO Married risky 36055 24 \n458 YES Single risky 110892 18 \n459 YES Divorced risky 125407 21 \n460 NO Divorced good 54701 10 \n461 NO Single good 163901 6 \n462 NO Divorced risky 149327 17 \n463 NO Divorced good 40460 3 \n464 NO Married good 143349 16 \n465 NO Divorced risky 116282 21 \n466 NO Married good 186013 16 \n467 YES Divorced good 106946 20 \n468 YES Divorced good 38814 18 \n469 YES Single good 65487 13 \n470 YES Married good 148686 26 \n471 NO Single risky 192410 21 \n472 NO Married good 151963 11 \n473 YES Single good 147367 16 \n474 YES Divorced good 80729 0 \n475 NO Single good 36081 12 \n476 NO Single good 183057 7 \n477 YES Divorced good 158849 29 \n478 NO Divorced good 65242 6 \n479 YES Married good 68995 21 \n480 NO Divorced good 72252 26 \n481 YES Single good 120012 13 \n482 NO Single good 125771 12 \n483 NO Single risky 100961 10 \n484 YES Married good 114646 28 \n485 NO Single good 52766 23 \n486 YES Single good 57230 29 \n487 YES Single good 83402 13 \n488 YES Single good 76718 10 \n489 YES Married good 148821 6 \n490 NO Married good 120996 24 \n491 NO Divorced risky 82029 10 \n492 YES Single good 98123 18 \n493 NO Married risky 103226 29 \n494 NO Single good 197045 13 \n495 NO Married good 59156 24 \n496 YES Divorced good 59382 5 \n497 NO Single good 100331 3 \n498 YES Single good 164924 24 \n499 YES Single good 48744 2 \n500 YES Single good 158780 11 \n501 NO Divorced good 55842 4 \n502 NO Married good 53240 1 \n503 YES Married good 81550 17 \n504 NO Divorced good 198571 19 \n505 NO Divorced good 74910 15 \n506 NO Single risky 111105 8 \n507 YES Single good 101272 24 \n508 NO Single good 195357 19 \n509 NO Married risky 65531 27 \n510 YES Married good 75436 14 \n511 NO Married good 153233 5 \n512 YES Single good 137948 22 \n513 NO Divorced good 140400 10 \n514 NO Divorced good 31380 6 \n515 NO Divorced good 87868 13 \n516 YES Single good 76337 18 \n517 NO Single risky 195078 26 \n518 YES Single good 112591 26 \n519 YES Single good 162102 25 \n520 NO Divorced good 142426 8 \n521 NO Divorced good 51104 15 \n522 NO Divorced good 103343 10 \n523 NO Divorced good 42198 12 \n524 YES Married risky 164391 27 \n525 YES Single good 75307 23 \n526 NO Divorced risky 82565 12 \n527 NO Married good 180274 27 \n528 NO Married good 172612 10 \n529 NO Divorced good 83388 14 \n530 YES Divorced good 194421 17 \n531 YES Married good 124440 14 \n532 YES Divorced good 98662 16 \n533 NO Divorced risky 54113 19 \n534 YES Married good 91567 13 \n535 NO Married good 189851 3 \n536 NO Single good 157025 14 \n537 YES Single good 100651 6 \n538 NO Married good 119976 12 \n539 YES Divorced good 57390 8 \n540 YES Single risky 110308 22 \n541 YES Divorced risky 191874 30 \n542 YES Married good 199778 27 \n543 NO Single good 130816 13 \n544 NO Single risky 133877 21 \n545 YES Divorced good 109079 8 \n546 NO Married good 59091 6 \n547 YES Single good 42690 25 \n548 YES Divorced good 154393 9 \n549 NO Married good 74058 11 \n550 NO Married good 68160 2 \n551 YES Married good 123082 0 \n552 NO Single good 109191 5 \n553 NO Single good 26884 13 \n554 NO Divorced good 147788 27 \n555 NO Single good 53848 10 \n556 NO Single good 34242 12 \n557 YES Married risky 157421 10 \n558 NO Divorced good 191139 12 \n559 YES Divorced good 180424 26 \n560 NO Divorced good 182562 24 \n561 NO Married good 36861 29 \n562 YES Divorced good 100064 12 \n563 YES Married good 116495 6 \n564 YES Married good 30098 11 \n565 NO Divorced good 31064 28 \n566 NO Married good 33460 28 \n567 YES Single risky 129912 30 \n568 NO Single good 150036 22 \n569 YES Single good 38074 12 \n570 NO Single good 161629 29 \n571 NO Single good 95421 7 \n572 YES Married good 148068 13 \n573 YES Married good 116161 20 \n574 YES Divorced good 28768 29 \n575 NO Divorced risky 95975 13 \n576 YES Married good 79653 15 \n577 YES Married good 52940 5 \n578 NO Divorced good 185339 6 \n579 YES Single good 125112 7 \n580 YES Divorced good 123335 1 \n581 YES Divorced good 57473 10 \n582 YES Married good 32907 12 \n583 NO Married good 28874 19 \n584 NO Divorced good 155684 4 \n585 NO Single good 137622 2 \n586 YES Single good 106230 30 \n587 NO Single good 154677 26 \n588 YES Married good 93242 27 \n589 YES Married good 30774 10 \n590 NO Married good 85195 14 \n591 YES Single risky 132859 18 \n592 YES Single good 75143 16 \n593 NO Divorced good 131963 10 \n594 NO Married good 97526 9 \n595 YES Divorced good 39492 7 \n596 YES Divorced good 55369 2 \n597 NO Divorced good 154058 0 \n598 YES Married good 180083 17 \n599 NO Divorced good 158137 16 \n\n Urban \n0 YES \n1 YES \n2 YES \n3 YES \n4 NO \n5 NO \n6 YES \n7 YES \n8 YES \n9 YES \n10 YES \n11 YES \n12 YES \n13 YES \n14 YES \n15 NO \n16 NO \n17 NO \n18 NO \n19 YES \n20 NO \n21 YES \n22 NO \n23 YES \n24 NO \n25 YES \n26 NO \n27 YES \n28 YES \n29 YES \n30 YES \n31 NO \n32 NO \n33 NO \n34 YES \n35 YES \n36 YES \n37 YES \n38 NO \n39 YES \n40 YES \n41 NO \n42 NO \n43 NO \n44 NO \n45 YES \n46 YES \n47 NO \n48 NO \n49 YES \n50 YES \n51 NO \n52 NO \n53 YES \n54 NO \n55 YES \n56 YES \n57 NO \n58 NO \n59 NO \n60 NO \n61 NO \n62 YES \n63 NO \n64 NO \n65 NO \n66 YES \n67 NO \n68 NO \n69 NO \n70 YES \n71 NO \n72 YES \n73 YES \n74 NO \n75 YES \n76 NO \n77 NO \n78 NO \n79 YES \n80 NO \n81 NO \n82 YES \n83 YES \n84 YES \n85 YES \n86 YES \n87 NO \n88 YES \n89 NO \n90 NO \n91 YES \n92 NO \n93 YES \n94 YES \n95 YES \n96 NO \n97 YES \n98 YES \n99 NO \n100 NO \n101 YES \n102 NO \n103 YES \n104 NO \n105 NO \n106 YES \n107 YES \n108 YES \n109 YES \n110 YES \n111 YES \n112 YES \n113 YES \n114 NO \n115 YES \n116 NO \n117 YES \n118 NO \n119 YES \n120 YES \n121 YES \n122 NO \n123 NO \n124 NO \n125 NO \n126 YES \n127 YES \n128 YES \n129 NO \n130 YES \n131 YES \n132 NO \n133 YES \n134 NO \n135 YES \n136 NO \n137 NO \n138 NO \n139 NO \n140 YES \n141 YES \n142 YES \n143 NO \n144 YES \n145 YES \n146 YES \n147 NO \n148 NO \n149 NO \n150 NO \n151 NO \n152 NO \n153 NO \n154 YES \n155 NO \n156 YES \n157 NO \n158 NO \n159 NO \n160 YES \n161 YES \n162 YES \n163 YES \n164 NO \n165 YES \n166 YES \n167 NO \n168 NO \n169 YES \n170 NO \n171 NO \n172 YES \n173 YES \n174 NO \n175 NO \n176 NO \n177 YES \n178 YES \n179 YES \n180 NO \n181 NO \n182 YES \n183 YES \n184 YES \n185 YES \n186 YES \n187 YES \n188 NO \n189 YES \n190 NO \n191 YES \n192 YES \n193 NO \n194 NO \n195 YES \n196 NO \n197 YES \n198 YES \n199 YES \n200 YES \n201 YES \n202 YES \n203 NO \n204 NO \n205 YES \n206 YES \n207 NO \n208 NO \n209 YES \n210 YES \n211 YES \n212 NO \n213 NO \n214 NO \n215 NO \n216 NO \n217 YES \n218 NO \n219 NO \n220 NO \n221 NO \n222 NO \n223 YES \n224 YES \n225 YES \n226 NO \n227 YES \n228 YES \n229 NO \n230 YES \n231 NO \n232 NO \n233 YES \n234 NO \n235 NO \n236 NO \n237 YES \n238 YES \n239 NO \n240 YES \n241 YES \n242 YES \n243 YES \n244 NO \n245 NO \n246 NO \n247 NO \n248 YES \n249 YES \n250 NO \n251 NO \n252 YES \n253 NO \n254 NO \n255 NO \n256 NO \n257 YES \n258 YES \n259 NO \n260 NO \n261 YES \n262 NO \n263 YES \n264 NO \n265 YES \n266 YES \n267 NO \n268 YES \n269 YES \n270 NO \n271 NO \n272 YES \n273 NO \n274 NO \n275 YES \n276 YES \n277 NO \n278 NO \n279 YES \n280 NO \n281 YES \n282 NO \n283 NO \n284 YES \n285 NO \n286 NO \n287 YES \n288 YES \n289 NO \n290 YES \n291 YES \n292 YES \n293 YES \n294 NO \n295 NO \n296 NO \n297 NO \n298 YES \n299 NO \n300 NO \n301 NO \n302 NO \n303 YES \n304 YES \n305 YES \n306 NO \n307 NO \n308 NO \n309 YES \n310 YES \n311 NO \n312 NO \n313 NO \n314 NO \n315 NO \n316 NO \n317 NO \n318 YES \n319 YES \n320 YES \n321 YES \n322 YES \n323 NO \n324 NO \n325 YES \n326 YES \n327 NO \n328 YES \n329 NO \n330 NO \n331 YES \n332 NO \n333 YES \n334 YES \n335 NO \n336 NO \n337 NO \n338 NO \n339 NO \n340 YES \n341 YES \n342 YES \n343 NO \n344 YES \n345 NO \n346 YES \n347 YES \n348 NO \n349 YES \n350 NO \n351 NO \n352 YES \n353 NO \n354 YES \n355 NO \n356 NO \n357 NO \n358 YES \n359 NO \n360 YES \n361 NO \n362 YES \n363 YES \n364 NO \n365 YES \n366 NO \n367 YES \n368 NO \n369 NO \n370 YES \n371 NO \n372 NO \n373 YES \n374 YES \n375 NO \n376 NO \n377 NO \n378 NO \n379 NO \n380 NO \n381 NO \n382 NO \n383 YES \n384 NO \n385 NO \n386 YES \n387 YES \n388 YES \n389 YES \n390 NO \n391 NO \n392 NO \n393 YES \n394 YES \n395 NO \n396 NO \n397 YES \n398 YES \n399 NO \n400 NO \n401 NO \n402 NO \n403 YES \n404 YES \n405 NO \n406 NO \n407 NO \n408 NO \n409 NO \n410 NO \n411 NO \n412 NO \n413 YES \n414 YES \n415 NO \n416 NO \n417 NO \n418 NO \n419 NO \n420 NO \n421 NO \n422 YES \n423 YES \n424 YES \n425 NO \n426 YES \n427 NO \n428 YES \n429 YES \n430 NO \n431 YES \n432 YES \n433 YES \n434 YES \n435 YES \n436 YES \n437 YES \n438 NO \n439 NO \n440 YES \n441 NO \n442 NO \n443 NO \n444 NO \n445 NO \n446 NO \n447 YES \n448 YES \n449 NO \n450 YES \n451 YES \n452 NO \n453 NO \n454 YES \n455 YES \n456 YES \n457 YES \n458 YES \n459 NO \n460 YES \n461 YES \n462 NO \n463 YES \n464 YES \n465 NO \n466 NO \n467 YES \n468 YES \n469 YES \n470 NO \n471 YES \n472 YES \n473 YES \n474 NO \n475 YES \n476 YES \n477 NO \n478 NO \n479 NO \n480 YES \n481 NO \n482 NO \n483 NO \n484 YES \n485 NO \n486 YES \n487 YES \n488 YES \n489 NO \n490 NO \n491 NO \n492 YES \n493 NO \n494 YES \n495 NO \n496 YES \n497 NO \n498 YES \n499 YES \n500 YES \n501 YES \n502 YES \n503 YES \n504 YES \n505 YES \n506 YES \n507 YES \n508 NO \n509 YES \n510 YES \n511 YES \n512 YES \n513 NO \n514 NO \n515 NO \n516 YES \n517 NO \n518 YES \n519 YES \n520 YES \n521 NO \n522 NO \n523 NO \n524 NO \n525 NO \n526 NO \n527 NO \n528 NO \n529 NO \n530 YES \n531 YES \n532 NO \n533 YES \n534 YES \n535 NO \n536 NO \n537 NO \n538 NO \n539 NO \n540 NO \n541 YES \n542 NO \n543 NO \n544 YES \n545 NO \n546 NO \n547 YES \n548 YES \n549 YES \n550 YES \n551 YES \n552 YES \n553 YES \n554 NO \n555 NO \n556 NO \n557 NO \n558 YES \n559 NO \n560 NO \n561 YES \n562 NO \n563 YES \n564 YES \n565 NO \n566 NO \n567 NO \n568 YES \n569 YES \n570 YES \n571 YES \n572 NO \n573 NO \n574 YES \n575 YES \n576 YES \n577 YES \n578 NO \n579 YES \n580 YES \n581 YES \n582 YES \n583 NO \n584 YES \n585 YES \n586 NO \n587 YES \n588 YES \n589 NO \n590 YES \n591 YES \n592 NO \n593 YES \n594 YES \n595 YES \n596 YES \n597 YES \n598 NO \n599 NO " | |
| }, | |
| "execution_count": 422, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.174852Z", | |
| "start_time": "2023-02-26T17:15:45.164836Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "d9df226b", | |
| "cell_type": "code", | |
| "source": "label_encoder=preprocessing.LabelEncoder()", | |
| "execution_count": 423, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.195524Z", | |
| "start_time": "2023-02-26T17:15:45.174852Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "578b321f", | |
| "cell_type": "code", | |
| "source": "data['Taxable.Income']= label_encoder.fit_transform(data['Taxable.Income']) \ndata['Undergrad']=label_encoder.fit_transform(data['Undergrad'])\ndata['Urban']=label_encoder.fit_transform(data['Urban'])\ndata['Marital.Status']=label_encoder.fit_transform(data['Marital.Status'])", | |
| "execution_count": 424, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.241577Z", | |
| "start_time": "2023-02-26T17:15:45.195524Z" | |
| }, | |
| "scrolled": true, | |
| "trusted": false | |
| }, | |
| "id": "43992561", | |
| "cell_type": "code", | |
| "source": "data.value_counts()", | |
| "execution_count": 425, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Undergrad Marital.Status Taxable.Income City.Population Work.Experience Urban\n0 0 0 27300 1 1 1\n1 1 0 57194 25 0 1\n 62943 17 0 1\n 66985 12 1 1\n 68995 21 0 1\n 69386 21 1 1\n 73733 10 1 1\n 75436 14 1 1\n 79653 15 1 1\n 81550 17 1 1\n 91138 23 0 1\n 91524 1 0 1\n 91567 13 1 1\n 93242 27 1 1\n 94199 0 1 1\n 100347 7 1 1\n 112584 25 0 1\n 59590 29 0 1\n 57194 8 1 1\n 114922 12 0 1\n 55591 0 1 1\n 0 1 183767 1 1 1\n 191874 30 1 1\n 195022 3 1 1\n 1 0 30098 11 1 1\n 30774 10 0 1\n 31097 7 1 1\n 31611 17 1 1\n 32907 12 1 1\n 38463 23 1 1\n 40089 10 0 1\n 41117 30 1 1\n 50490 20 1 1\n 51911 23 0 1\n 52940 5 1 1\n 54437 21 1 1\n 114646 28 1 1\n 115631 5 0 1\n0 0 0 28495 30 0 1\n1 1 0 148686 26 0 1\n 161215 8 0 1\n 165175 13 0 1\n 168473 9 0 1\n 168568 14 0 1\n 170030 8 0 1\n 173276 17 1 1\n 173986 24 0 1\n 177468 21 1 1\n 178585 8 1 1\n 180083 17 0 1\n 183095 14 1 1\n 183445 30 0 1\n 185596 30 1 1\n 189301 11 1 1\n 190365 28 0 1\n 148821 6 0 1\n 148246 5 1 1\n 116161 20 0 1\n 148068 13 0 1\n 116495 6 1 1\n 116745 23 0 1\n 118344 26 0 1\n 120894 10 1 1\n 123082 0 1 1\n 124440 14 1 1\n 125450 13 1 1\n 125987 3 1 1\n 126556 10 1 1\n 129164 11 0 1\n 131469 30 0 1\n 137346 27 1 1\n 140998 15 0 1\n 141622 29 0 1\n 147346 25 0 1\n 0 1 176278 19 0 1\n 165001 19 1 1\n 125407 21 0 1\n 0 104183 18 0 1\n 106757 23 1 1\n 106946 20 1 1\n 108262 10 1 1\n 108300 27 1 1\n 109079 8 0 1\n 112659 14 0 1\n 113724 6 0 1\n 115168 30 0 1\n 117260 4 0 1\n 117788 0 1 1\n 118798 6 0 1\n 121506 27 0 1\n 121608 24 0 1\n 123335 1 1 1\n 128428 14 0 1\n 105376 11 0 1\n 100064 12 0 1\n 1 125155 12 1 1\n 0 98880 22 0 1\n 59382 5 1 1\n 62671 20 0 1\n 77059 22 0 1\n 78251 21 1 1\n 79972 0 1 1\n 80729 0 0 1\n 80904 3 1 1\n 84132 1 0 1\n 86904 20 0 1\n 91488 23 0 1\n 91936 8 1 1\n 95831 9 0 1\n 97109 27 0 1\n 97520 29 1 1\n 98662 16 0 1\n 129276 22 0 1\n 134075 18 1 1\n 139269 29 0 1\n 139324 13 0 1\n 189061 13 1 1\n 189435 22 1 1\n 194421 17 1 1\n 1 26814 9 0 1\n 29106 7 1 1\n 34551 29 0 1\n 37776 15 0 1\n 48956 8 0 1\n 72255 30 1 1\n 75323 19 1 1\n 75552 17 1 1\n 91851 15 1 1\n 108245 1 0 1\n 111264 23 0 1\n 114841 28 0 1\n 0 185099 12 0 1\n 180424 26 0 1\n 179220 19 1 1\n 155342 14 0 1\n 143153 0 0 1\n 147614 9 1 1\n 151636 4 1 1\n 152471 6 0 1\n 153308 24 1 1\n 154393 9 1 1\n 155482 4 1 1\n 169128 15 0 1\n 155669 11 0 1\n 158849 29 0 1\n 161143 17 0 1\n 163252 28 0 1\n 167600 26 0 1\n 168248 27 0 1\n 1 0 192297 17 1 1\n 193003 30 1 1\n 193193 3 0 1\n 2 0 135886 11 1 1\n 139624 7 0 1\n 141502 3 0 1\n 145804 3 1 1\n 147222 26 0 1\n 147367 16 1 1\n 149101 19 0 1\n 149857 8 0 1\n 153147 2 0 1\n 153192 28 0 1\n 154647 27 0 1\n 156503 29 1 1\n 157251 21 0 1\n 157299 11 0 1\n 158780 11 1 1\n 162102 25 1 1\n 137948 22 1 1\n 135185 13 0 1\n 103490 30 0 1\n 134135 14 0 1\n 106230 30 0 1\n 107069 13 0 1\n 107937 5 1 1\n 112591 26 1 1\n 112890 11 1 1\n 114597 28 1 1\n 118261 15 0 1\n 120012 13 0 1\n 121498 28 1 1\n 123761 20 1 1\n 124848 2 0 1\n 125112 7 1 1\n 125883 0 1 1\n 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| "execution_count": 425, | |
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| "source": "pd.set_option(\"display.max_rows\",None)", | |
| "execution_count": 426, | |
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| { | |
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| "id": "23735527", | |
| "cell_type": "code", | |
| "source": "y=data['Taxable.Income']\ny", | |
| "execution_count": 427, | |
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| { | |
| "data": { | |
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| "id": "2a692aea", | |
| "cell_type": "code", | |
| "source": "y.value_counts()", | |
| "execution_count": 428, | |
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| "execution_count": 428, | |
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| "id": "ef4b180b", | |
| "cell_type": "code", | |
| "source": "x=data.drop('Taxable.Income',axis=1)\nx", | |
| "execution_count": 429, | |
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| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Undergrad</th>\n <th>Marital.Status</th>\n <th>City.Population</th>\n <th>Work.Experience</th>\n <th>Urban</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>0</td>\n <td>2</td>\n <td>50047</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>0</td>\n <td>134075</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>2</th>\n <td>0</td>\n <td>1</td>\n <td>160205</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>2</td>\n <td>193264</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>0</td>\n <td>1</td>\n <td>27533</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>0</td>\n 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<td>107764</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>16</th>\n <td>1</td>\n <td>0</td>\n <td>34551</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>17</th>\n <td>1</td>\n <td>1</td>\n <td>57194</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>18</th>\n <td>1</td>\n <td>0</td>\n <td>59269</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>19</th>\n <td>0</td>\n <td>2</td>\n <td>126953</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>20</th>\n <td>1</td>\n <td>2</td>\n <td>147222</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>21</th>\n <td>1</td>\n <td>0</td>\n <td>29106</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>22</th>\n <td>1</td>\n <td>0</td>\n <td>155342</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>23</th>\n <td>0</td>\n <td>2</td>\n <td>50495</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>24</th>\n <td>0</td>\n <td>0</td>\n <td>28495</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>25</th>\n <td>0</td>\n <td>0</td>\n <td>124606</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>26</th>\n <td>1</td>\n <td>0</td>\n <td>169128</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>27</th>\n <td>1</td>\n <td>2</td>\n <td>28542</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>28</th>\n <td>1</td>\n <td>2</td>\n <td>128766</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>29</th>\n <td>1</td>\n <td>0</td>\n <td>41863</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>30</th>\n <td>1</td>\n <td>0</td>\n <td>117788</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>31</th>\n <td>0</td>\n <td>0</td>\n <td>147414</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>32</th>\n <td>1</td>\n <td>1</td>\n <td>51911</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>33</th>\n <td>1</td>\n <td>2</td>\n <td>157251</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>34</th>\n <td>1</td>\n <td>0</td>\n <td>183767</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>35</th>\n <td>1</td>\n <td>1</td>\n <td>41117</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>36</th>\n <td>1</td>\n <td>1</td>\n <td>193995</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>37</th>\n <td>0</td>\n <td>1</td>\n <td>66912</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>38</th>\n <td>0</td>\n <td>2</td>\n <td>177575</td>\n <td>3</td>\n <td>0</td>\n </tr>\n <tr>\n <th>39</th>\n <td>0</td>\n <td>1</td>\n <td>54981</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>40</th>\n <td>0</td>\n <td>2</td>\n <td>199697</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>41</th>\n <td>1</td>\n <td>1</td>\n <td>91524</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>42</th>\n <td>0</td>\n <td>2</td>\n <td>51666</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>43</th>\n <td>1</td>\n <td>0</td>\n <td>50020</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>44</th>\n <td>1</td>\n <td>0</td>\n <td>98880</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>45</th>\n <td>1</td>\n <td>1</td>\n <td>183095</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>46</th>\n <td>1</td>\n <td>1</td>\n <td>137346</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>47</th>\n <td>1</td>\n <td>2</td>\n <td>34964</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>48</th>\n <td>0</td>\n <td>1</td>\n <td>35480</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>49</th>\n <td>0</td>\n <td>0</td>\n <td>160195</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>50</th>\n <td>1</td>\n <td>2</td>\n <td>145804</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>51</th>\n <td>1</td>\n <td>2</td>\n <td>174042</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>52</th>\n <td>0</td>\n <td>2</td>\n <td>91828</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>53</th>\n <td>1</td>\n <td>2</td>\n <td>139143</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>54</th>\n <td>0</td>\n <td>0</td>\n <td>98207</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>55</th>\n <td>1</td>\n <td>2</td>\n <td>89965</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>56</th>\n <td>0</td>\n <td>1</td>\n <td>69832</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>57</th>\n <td>0</td>\n <td>2</td>\n <td>70744</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>58</th>\n <td>1</td>\n <td>2</td>\n <td>158047</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>59</th>\n <td>0</td>\n <td>2</td>\n <td>102228</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>60</th>\n <td>1</td>\n <td>1</td>\n <td>91138</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>61</th>\n <td>1</td>\n <td>1</td>\n <td>86169</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>62</th>\n <td>0</td>\n <td>0</td>\n <td>147684</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>63</th>\n <td>1</td>\n <td>0</td>\n <td>95831</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>64</th>\n <td>1</td>\n <td>2</td>\n <td>118261</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>65</th>\n <td>0</td>\n <td>0</td>\n <td>194738</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>66</th>\n <td>1</td>\n <td>1</td>\n <td>66985</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>67</th>\n <td>1</td>\n <td>1</td>\n <td>173986</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>68</th>\n <td>0</td>\n <td>2</td>\n <td>139642</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>69</th>\n <td>1</td>\n <td>2</td>\n <td>86896</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>70</th>\n <td>1</td>\n <td>0</td>\n <td>80904</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>71</th>\n <td>0</td>\n <td>2</td>\n <td>105680</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>72</th>\n <td>1</td>\n <td>0</td>\n <td>108300</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>73</th>\n <td>1</td>\n <td>2</td>\n <td>174789</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>74</th>\n <td>0</td>\n <td>0</td>\n <td>182319</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>75</th>\n <td>0</td>\n <td>1</td>\n <td>50404</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>76</th>\n <td>1</td>\n <td>1</td>\n <td>129164</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>77</th>\n <td>1</td>\n <td>1</td>\n <td>118344</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>78</th>\n <td>1</td>\n <td>0</td>\n <td>143153</td>\n <td>0</td>\n <td>0</td>\n </tr>\n <tr>\n <th>79</th>\n <td>0</td>\n <td>0</td>\n <td>140885</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>80</th>\n <td>0</td>\n <td>1</td>\n <td>28184</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>81</th>\n <td>1</td>\n <td>0</td>\n <td>121608</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>82</th>\n <td>0</td>\n <td>0</td>\n <td>111068</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>83</th>\n <td>0</td>\n <td>0</td>\n <td>73963</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>84</th>\n <td>0</td>\n <td>1</td>\n <td>178083</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>85</th>\n <td>1</td>\n <td>0</td>\n <td>125155</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>86</th>\n <td>1</td>\n <td>0</td>\n <td>97520</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>87</th>\n <td>1</td>\n <td>2</td>\n <td>64075</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>88</th>\n <td>0</td>\n <td>1</td>\n <td>63896</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>89</th>\n <td>1</td>\n <td>1</td>\n <td>176050</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>90</th>\n <td>0</td>\n <td>0</td>\n <td>101232</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>91</th>\n <td>1</td>\n <td>1</td>\n <td>73733</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>92</th>\n <td>0</td>\n <td>0</td>\n <td>114621</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>93</th>\n <td>1</td>\n <td>1</td>\n <td>137676</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>94</th>\n <td>0</td>\n <td>2</td>\n <td>122705</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>95</th>\n <td>1</td>\n <td>2</td>\n <td>121498</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>96</th>\n <td>0</td>\n <td>2</td>\n <td>63622</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>97</th>\n <td>1</td>\n <td>0</td>\n <td>37849</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>98</th>\n <td>1</td>\n <td>1</td>\n <td>77053</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>99</th>\n <td>0</td>\n <td>1</td>\n <td>114350</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>100</th>\n <td>1</td>\n <td>2</td>\n <td>46444</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>101</th>\n <td>1</td>\n <td>1</td>\n <td>50490</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>102</th>\n <td>1</td>\n <td>0</td>\n <td>91488</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>103</th>\n <td>0</td>\n <td>0</td>\n <td>76318</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>104</th>\n <td>0</td>\n <td>2</td>\n <td>174423</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>105</th>\n <td>0</td>\n <td>2</td>\n <td>46893</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>106</th>\n <td>1</td>\n <td>2</td>\n <td>58535</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>107</th>\n <td>0</td>\n <td>1</td>\n <td>52424</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>108</th>\n <td>1</td>\n <td>1</td>\n <td>120894</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>109</th>\n <td>1</td>\n <td>1</td>\n <td>178585</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>110</th>\n <td>0</td>\n <td>2</td>\n <td>32450</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>111</th>\n <td>0</td>\n <td>2</td>\n <td>164526</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>112</th>\n <td>1</td>\n <td>2</td>\n <td>193038</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>113</th>\n <td>1</td>\n <td>1</td>\n <td>100347</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>114</th>\n <td>0</td>\n <td>2</td>\n <td>197934</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>115</th>\n <td>1</td>\n <td>0</td>\n <td>78251</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>116</th>\n <td>0</td>\n <td>1</td>\n <td>132570</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>117</th>\n <td>0</td>\n <td>2</td>\n <td>96370</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>118</th>\n <td>0</td>\n <td>0</td>\n <td>199174</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>119</th>\n <td>0</td>\n <td>0</td>\n <td>47202</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>120</th>\n <td>1</td>\n <td>2</td>\n <td>135886</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>121</th>\n <td>1</td>\n <td>1</td>\n <td>86648</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>122</th>\n <td>1</td>\n <td>1</td>\n <td>140762</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>123</th>\n <td>1</td>\n <td>1</td>\n <td>79683</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>124</th>\n <td>1</td>\n <td>0</td>\n <td>139324</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>125</th>\n <td>1</td>\n <td>0</td>\n <td>155669</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>126</th>\n <td>1</td>\n <td>0</td>\n <td>195022</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>127</th>\n <td>0</td>\n <td>2</td>\n <td>93035</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>128</th>\n <td>0</td>\n <td>1</td>\n <td>100897</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>129</th>\n <td>1</td>\n <td>2</td>\n <td>65469</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>130</th>\n <td>1</td>\n <td>2</td>\n <td>87730</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>131</th>\n <td>1</td>\n <td>2</td>\n <td>174321</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>132</th>\n <td>0</td>\n <td>0</td>\n <td>67820</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>133</th>\n <td>0</td>\n <td>2</td>\n <td>86646</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>134</th>\n <td>1</td>\n <td>1</td>\n <td>190365</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>135</th>\n <td>1</td>\n <td>0</td>\n <td>75323</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>136</th>\n <td>0</td>\n <td>0</td>\n <td>53513</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>137</th>\n <td>1</td>\n <td>2</td>\n <td>115884</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>138</th>\n <td>0</td>\n <td>2</td>\n <td>155335</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>139</th>\n <td>1</td>\n <td>0</td>\n <td>86904</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>140</th>\n <td>1</td>\n <td>1</td>\n <td>93390</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>141</th>\n <td>1</td>\n <td>1</td>\n <td>194364</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>142</th>\n <td>0</td>\n <td>2</td>\n <td>122654</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>143</th>\n <td>1</td>\n <td>2</td>\n <td>154013</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>144</th>\n <td>1</td>\n <td>2</td>\n <td>156503</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>145</th>\n <td>0</td>\n <td>0</td>\n <td>197422</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>146</th>\n <td>0</td>\n <td>0</td>\n <td>57931</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>147</th>\n <td>1</td>\n <td>0</td>\n <td>163252</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>148</th>\n <td>0</td>\n <td>1</td>\n <td>197038</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>149</th>\n <td>0</td>\n <td>2</td>\n <td>49505</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>150</th>\n <td>0</td>\n <td>1</td>\n <td>161759</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>151</th>\n <td>0</td>\n <td>2</td>\n <td>109110</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>152</th>\n <td>0</td>\n <td>2</td>\n <td>91889</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>153</th>\n <td>1</td>\n <td>0</td>\n <td>114841</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>154</th>\n <td>0</td>\n <td>2</td>\n <td>82520</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>155</th>\n <td>1</td>\n <td>2</td>\n <td>139624</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>156</th>\n <td>1</td>\n <td>1</td>\n <td>125987</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>157</th>\n <td>1</td>\n <td>1</td>\n <td>115631</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>158</th>\n <td>0</td>\n <td>0</td>\n <td>163347</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>159</th>\n <td>1</td>\n <td>2</td>\n <td>28504</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>160</th>\n <td>1</td>\n <td>0</td>\n <td>79972</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>161</th>\n <td>1</td>\n <td>1</td>\n <td>185596</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>162</th>\n <td>1</td>\n <td>1</td>\n <td>177468</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>163</th>\n <td>1</td>\n <td>0</td>\n <td>91851</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>164</th>\n <td>1</td>\n <td>2</td>\n <td>153192</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>165</th>\n <td>1</td>\n <td>1</td>\n <td>38463</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>166</th>\n <td>0</td>\n <td>1</td>\n <td>73466</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>167</th>\n <td>0</td>\n <td>1</td>\n <td>194381</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>168</th>\n <td>0</td>\n <td>0</td>\n <td>167629</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>169</th>\n <td>1</td>\n <td>2</td>\n <td>76933</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>170</th>\n <td>0</td>\n <td>0</td>\n <td>143402</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>171</th>\n <td>1</td>\n <td>1</td>\n <td>103614</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>172</th>\n <td>0</td>\n <td>1</td>\n <td>52819</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>173</th>\n <td>1</td>\n <td>2</td>\n <td>105110</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>174</th>\n <td>1</td>\n <td>2</td>\n <td>149857</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>175</th>\n <td>1</td>\n <td>2</td>\n <td>57055</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>176</th>\n <td>0</td>\n <td>1</td>\n <td>75169</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>177</th>\n <td>0</td>\n <td>1</td>\n <td>31156</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>178</th>\n <td>0</td>\n <td>2</td>\n <td>85832</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>179</th>\n <td>1</td>\n <td>1</td>\n <td>192451</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>180</th>\n <td>1</td>\n <td>2</td>\n <td>149101</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>181</th>\n <td>0</td>\n <td>0</td>\n <td>36116</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>182</th>\n <td>0</td>\n <td>0</td>\n <td>89632</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>183</th>\n <td>0</td>\n <td>2</td>\n <td>39523</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>184</th>\n <td>0</td>\n <td>0</td>\n <td>70138</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>185</th>\n <td>0</td>\n <td>1</td>\n <td>92975</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>186</th>\n <td>0</td>\n <td>1</td>\n <td>166976</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>187</th>\n <td>0</td>\n <td>2</td>\n <td>59558</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>188</th>\n <td>0</td>\n <td>0</td>\n <td>137569</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>189</th>\n <td>1</td>\n <td>1</td>\n <td>189301</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>190</th>\n <td>0</td>\n <td>2</td>\n <td>90459</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>191</th>\n <td>0</td>\n <td>2</td>\n <td>176341</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>192</th>\n <td>1</td>\n <td>1</td>\n <td>126556</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>193</th>\n <td>1</td>\n <td>1</td>\n <td>198213</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>194</th>\n <td>1</td>\n <td>2</td>\n <td>103981</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>195</th>\n <td>1</td>\n <td>2</td>\n <td>181370</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>196</th>\n <td>1</td>\n <td>1</td>\n <td>28410</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>197</th>\n <td>0</td>\n <td>2</td>\n <td>98056</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>198</th>\n <td>0</td>\n <td>2</td>\n <td>48025</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>199</th>\n <td>1</td>\n <td>1</td>\n <td>145744</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>200</th>\n <td>1</td>\n <td>2</td>\n <td>162777</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>201</th>\n <td>1</td>\n <td>0</td>\n <td>58225</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>202</th>\n <td>1</td>\n <td>2</td>\n <td>28661</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>203</th>\n <td>1</td>\n <td>0</td>\n <td>117260</td>\n <td>4</td>\n <td>0</td>\n </tr>\n <tr>\n <th>204</th>\n <td>0</td>\n <td>1</td>\n <td>173091</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>205</th>\n <td>0</td>\n <td>1</td>\n <td>131906</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>206</th>\n <td>1</td>\n <td>2</td>\n <td>52227</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>207</th>\n <td>1</td>\n <td>1</td>\n <td>138108</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>208</th>\n <td>1</td>\n <td>2</td>\n <td>141502</td>\n <td>3</td>\n <td>0</td>\n </tr>\n <tr>\n <th>209</th>\n <td>1</td>\n <td>2</td>\n <td>186239</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>210</th>\n <td>1</td>\n <td>2</td>\n <td>125993</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>211</th>\n <td>1</td>\n <td>1</td>\n <td>57194</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>212</th>\n <td>1</td>\n <td>0</td>\n <td>112659</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>213</th>\n <td>1</td>\n <td>2</td>\n <td>107069</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>214</th>\n <td>0</td>\n <td>0</td>\n <td>140159</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>215</th>\n <td>0</td>\n <td>0</td>\n <td>28576</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>216</th>\n <td>0</td>\n <td>0</td>\n <td>85128</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>217</th>\n <td>1</td>\n <td>0</td>\n <td>179220</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>218</th>\n <td>0</td>\n <td>1</td>\n <td>38091</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>219</th>\n <td>1</td>\n <td>0</td>\n <td>26814</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>220</th>\n <td>1</td>\n <td>0</td>\n <td>115168</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>221</th>\n <td>1</td>\n <td>2</td>\n <td>134135</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>222</th>\n <td>1</td>\n <td>0</td>\n <td>168248</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>223</th>\n <td>1</td>\n <td>1</td>\n <td>192297</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>224</th>\n <td>0</td>\n <td>1</td>\n <td>55717</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>225</th>\n <td>1</td>\n <td>2</td>\n <td>125883</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>226</th>\n <td>0</td>\n <td>2</td>\n <td>77719</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>227</th>\n <td>1</td>\n <td>2</td>\n <td>182921</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>228</th>\n <td>0</td>\n <td>1</td>\n <td>100696</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>229</th>\n <td>0</td>\n <td>1</td>\n <td>35780</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>230</th>\n <td>0</td>\n <td>1</td>\n <td>81593</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>231</th>\n <td>1</td>\n <td>2</td>\n <td>153147</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>232</th>\n <td>1</td>\n <td>1</td>\n <td>150349</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>233</th>\n <td>0</td>\n <td>1</td>\n <td>63701</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>234</th>\n <td>0</td>\n <td>2</td>\n <td>102498</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>235</th>\n <td>0</td>\n <td>0</td>\n <td>87541</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>236</th>\n <td>1</td>\n <td>1</td>\n <td>193193</td>\n <td>3</td>\n <td>0</td>\n </tr>\n <tr>\n <th>237</th>\n <td>0</td>\n <td>1</td>\n <td>128996</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>238</th>\n <td>1</td>\n <td>2</td>\n <td>72968</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>239</th>\n <td>0</td>\n <td>0</td>\n <td>76145</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>240</th>\n <td>0</td>\n <td>2</td>\n <td>139146</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>241</th>\n <td>1</td>\n <td>2</td>\n <td>31377</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>242</th>\n <td>0</td>\n <td>0</td>\n <td>84368</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>243</th>\n <td>0</td>\n <td>0</td>\n <td>181549</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>244</th>\n <td>1</td>\n <td>2</td>\n <td>154647</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>245</th>\n <td>0</td>\n <td>2</td>\n <td>183221</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>246</th>\n <td>1</td>\n <td>2</td>\n <td>38139</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>247</th>\n <td>1</td>\n <td>0</td>\n <td>108245</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>248</th>\n <td>0</td>\n <td>2</td>\n <td>105374</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>249</th>\n <td>1</td>\n <td>2</td>\n <td>35376</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>250</th>\n <td>0</td>\n <td>1</td>\n <td>156973</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>251</th>\n <td>1</td>\n <td>2</td>\n <td>173228</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>252</th>\n <td>0</td>\n <td>2</td>\n <td>40855</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>253</th>\n <td>1</td>\n <td>2</td>\n <td>77256</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>254</th>\n <td>0</td>\n <td>0</td>\n <td>193263</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>255</th>\n <td>1</td>\n <td>1</td>\n <td>170030</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>256</th>\n <td>1</td>\n <td>1</td>\n <td>168568</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>257</th>\n <td>1</td>\n <td>1</td>\n <td>31611</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>258</th>\n <td>0</td>\n <td>0</td>\n <td>74119</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>259</th>\n <td>0</td>\n <td>1</td>\n <td>197841</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>260</th>\n <td>1</td>\n <td>2</td>\n <td>92333</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>261</th>\n <td>0</td>\n <td>2</td>\n <td>68788</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>262</th>\n <td>0</td>\n <td>0</td>\n <td>120415</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>263</th>\n <td>1</td>\n <td>1</td>\n <td>69386</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>264</th>\n <td>0</td>\n <td>2</td>\n <td>118899</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>265</th>\n <td>0</td>\n <td>1</td>\n <td>101996</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>266</th>\n <td>1</td>\n <td>1</td>\n <td>173276</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>267</th>\n <td>0</td>\n <td>2</td>\n <td>183946</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>268</th>\n <td>0</td>\n <td>2</td>\n <td>98378</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>269</th>\n <td>1</td>\n <td>1</td>\n <td>125450</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>270</th>\n <td>0</td>\n <td>1</td>\n <td>130680</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>271</th>\n <td>0</td>\n <td>2</td>\n <td>183682</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>272</th>\n <td>0</td>\n <td>2</td>\n <td>126488</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>273</th>\n <td>1</td>\n <td>0</td>\n <td>58942</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>274</th>\n <td>1</td>\n <td>1</td>\n <td>112584</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>275</th>\n <td>1</td>\n <td>1</td>\n <td>55591</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>276</th>\n <td>0</td>\n <td>2</td>\n <td>44251</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>277</th>\n <td>0</td>\n <td>0</td>\n <td>117364</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>278</th>\n <td>0</td>\n <td>1</td>\n <td>114823</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>279</th>\n <td>1</td>\n <td>2</td>\n <td>74136</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>280</th>\n <td>0</td>\n <td>0</td>\n <td>33184</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>281</th>\n <td>0</td>\n <td>2</td>\n <td>167403</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>282</th>\n <td>1</td>\n <td>1</td>\n <td>59590</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>283</th>\n <td>1</td>\n <td>0</td>\n <td>129276</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>284</th>\n <td>0</td>\n <td>0</td>\n <td>188383</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>285</th>\n <td>0</td>\n <td>2</td>\n <td>63420</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>286</th>\n <td>1</td>\n <td>0</td>\n <td>113724</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>287</th>\n <td>1</td>\n <td>2</td>\n <td>77102</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>288</th>\n <td>1</td>\n <td>1</td>\n <td>174196</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>289</th>\n <td>0</td>\n <td>2</td>\n <td>196816</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>290</th>\n <td>1</td>\n <td>1</td>\n <td>193003</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>291</th>\n <td>1</td>\n <td>2</td>\n <td>62475</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>292</th>\n <td>1</td>\n <td>2</td>\n <td>76406</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>293</th>\n <td>0</td>\n <td>0</td>\n <td>43899</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>294</th>\n <td>1</td>\n <td>2</td>\n <td>74074</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>295</th>\n <td>1</td>\n <td>1</td>\n <td>40089</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>296</th>\n <td>1</td>\n <td>0</td>\n <td>167600</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>297</th>\n <td>0</td>\n <td>1</td>\n <td>36924</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>298</th>\n <td>0</td>\n <td>2</td>\n <td>119904</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>299</th>\n <td>1</td>\n <td>2</td>\n <td>197916</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>300</th>\n <td>0</td>\n <td>1</td>\n <td>74052</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>301</th>\n <td>1</td>\n <td>1</td>\n <td>39797</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>302</th>\n <td>1</td>\n <td>0</td>\n <td>97109</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>303</th>\n <td>1</td>\n <td>0</td>\n <td>189061</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>304</th>\n <td>1</td>\n <td>0</td>\n <td>106757</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>305</th>\n <td>0</td>\n <td>2</td>\n <td>161265</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>306</th>\n <td>1</td>\n <td>0</td>\n <td>185099</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>307</th>\n <td>0</td>\n <td>0</td>\n <td>31819</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>308</th>\n <td>1</td>\n <td>1</td>\n <td>183445</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>309</th>\n <td>1</td>\n <td>2</td>\n <td>123761</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>310</th>\n <td>1</td>\n <td>0</td>\n <td>189435</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>311</th>\n <td>0</td>\n <td>1</td>\n <td>50013</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>312</th>\n <td>1</td>\n <td>2</td>\n <td>31641</td>\n <td>18</td>\n <td>0</td>\n </tr>\n <tr>\n <th>313</th>\n <td>1</td>\n <td>2</td>\n <td>124848</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>314</th>\n <td>0</td>\n <td>2</td>\n <td>85255</td>\n <td>4</td>\n <td>0</td>\n </tr>\n <tr>\n <th>315</th>\n <td>1</td>\n <td>0</td>\n <td>176278</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>316</th>\n <td>0</td>\n <td>1</td>\n <td>70323</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>317</th>\n <td>1</td>\n <td>1</td>\n <td>116745</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>318</th>\n <td>0</td>\n <td>0</td>\n <td>121324</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>319</th>\n <td>1</td>\n <td>0</td>\n <td>153308</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>320</th>\n <td>1</td>\n <td>2</td>\n <td>78897</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>321</th>\n <td>0</td>\n <td>2</td>\n <td>84215</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>322</th>\n <td>0</td>\n <td>0</td>\n <td>160932</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>323</th>\n <td>1</td>\n <td>1</td>\n <td>165175</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>324</th>\n <td>1</td>\n <td>2</td>\n <td>171288</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>325</th>\n <td>0</td>\n <td>2</td>\n <td>25779</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>326</th>\n <td>1</td>\n <td>0</td>\n <td>165001</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>327</th>\n <td>1</td>\n <td>1</td>\n <td>162777</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>328</th>\n <td>0</td>\n <td>0</td>\n <td>93414</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>329</th>\n <td>0</td>\n <td>2</td>\n <td>39360</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>330</th>\n <td>0</td>\n <td>1</td>\n <td>43176</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>331</th>\n <td>1</td>\n <td>1</td>\n <td>60999</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>332</th>\n <td>1</td>\n <td>0</td>\n <td>84132</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>333</th>\n <td>1</td>\n <td>2</td>\n <td>44775</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>334</th>\n <td>0</td>\n <td>2</td>\n <td>118274</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>335</th>\n <td>1</td>\n <td>1</td>\n <td>140998</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>336</th>\n <td>0</td>\n <td>1</td>\n <td>73146</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>337</th>\n <td>1</td>\n <td>1</td>\n <td>73490</td>\n <td>7</td>\n <td>0</td>\n </tr>\n <tr>\n <th>338</th>\n <td>1</td>\n <td>0</td>\n <td>111264</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>339</th>\n <td>1</td>\n <td>2</td>\n <td>110940</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>340</th>\n <td>1</td>\n <td>1</td>\n <td>54437</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>341</th>\n <td>0</td>\n <td>1</td>\n <td>83900</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>342</th>\n <td>1</td>\n <td>1</td>\n <td>31097</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>343</th>\n <td>1</td>\n <td>0</td>\n <td>161143</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>344</th>\n <td>0</td>\n <td>1</td>\n <td>192313</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>345</th>\n <td>1</td>\n <td>0</td>\n <td>118798</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>346</th>\n <td>0</td>\n <td>2</td>\n <td>134635</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>347</th>\n <td>0</td>\n <td>1</td>\n <td>80991</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>348</th>\n <td>1</td>\n <td>2</td>\n <td>42269</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>349</th>\n <td>1</td>\n <td>0</td>\n <td>72255</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>350</th>\n <td>0</td>\n <td>1</td>\n <td>89949</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>351</th>\n <td>1</td>\n <td>1</td>\n <td>114922</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>352</th>\n <td>0</td>\n <td>0</td>\n <td>72115</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>353</th>\n <td>1</td>\n <td>1</td>\n <td>141622</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>354</th>\n <td>1</td>\n <td>1</td>\n <td>176891</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>355</th>\n <td>1</td>\n <td>2</td>\n <td>56488</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>356</th>\n <td>0</td>\n <td>1</td>\n <td>46480</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>357</th>\n <td>0</td>\n <td>1</td>\n <td>84034</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>358</th>\n <td>1</td>\n <td>2</td>\n <td>96432</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>359</th>\n <td>1</td>\n <td>2</td>\n <td>157299</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>360</th>\n <td>1</td>\n <td>2</td>\n <td>107937</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>361</th>\n <td>1</td>\n <td>0</td>\n <td>62671</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>362</th>\n <td>1</td>\n <td>0</td>\n <td>75552</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>363</th>\n <td>1</td>\n <td>2</td>\n <td>52584</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>364</th>\n <td>1</td>\n <td>1</td>\n <td>62943</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>365</th>\n <td>0</td>\n <td>0</td>\n <td>134321</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>366</th>\n <td>1</td>\n <td>1</td>\n <td>131469</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>367</th>\n <td>1</td>\n <td>1</td>\n <td>95404</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>368</th>\n <td>1</td>\n <td>0</td>\n <td>128428</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>369</th>\n <td>0</td>\n <td>1</td>\n <td>89122</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>370</th>\n <td>0</td>\n <td>0</td>\n <td>86119</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>371</th>\n <td>1</td>\n <td>2</td>\n <td>75580</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>372</th>\n <td>1</td>\n <td>1</td>\n <td>168473</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>373</th>\n <td>0</td>\n <td>1</td>\n <td>175719</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>374</th>\n <td>1</td>\n <td>0</td>\n <td>147614</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>375</th>\n <td>0</td>\n <td>1</td>\n <td>130935</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>376</th>\n <td>0</td>\n <td>0</td>\n <td>188067</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>377</th>\n <td>1</td>\n <td>2</td>\n <td>103490</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>378</th>\n <td>1</td>\n <td>0</td>\n <td>152471</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>379</th>\n <td>0</td>\n <td>2</td>\n <td>112774</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>380</th>\n <td>1</td>\n <td>1</td>\n <td>197699</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>381</th>\n <td>0</td>\n <td>2</td>\n <td>61920</td>\n <td>4</td>\n <td>0</td>\n </tr>\n <tr>\n <th>382</th>\n <td>1</td>\n <td>0</td>\n <td>139269</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>383</th>\n <td>1</td>\n <td>1</td>\n <td>148246</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>384</th>\n <td>1</td>\n <td>1</td>\n <td>147346</td>\n <td>25</td>\n <td>0</td>\n </tr>\n <tr>\n <th>385</th>\n <td>0</td>\n <td>2</td>\n <td>140132</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>386</th>\n <td>0</td>\n <td>2</td>\n <td>140642</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>387</th>\n <td>1</td>\n <td>2</td>\n <td>56597</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>388</th>\n <td>1</td>\n <td>0</td>\n <td>151636</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>389</th>\n <td>1</td>\n <td>2</td>\n <td>183187</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>390</th>\n <td>1</td>\n <td>2</td>\n <td>57324</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>391</th>\n <td>0</td>\n <td>1</td>\n <td>29934</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>392</th>\n <td>1</td>\n <td>0</td>\n <td>37776</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>393</th>\n <td>0</td>\n <td>1</td>\n <td>68687</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>394</th>\n <td>0</td>\n <td>0</td>\n <td>64990</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>395</th>\n <td>1</td>\n <td>2</td>\n <td>183094</td>\n <td>5</td>\n <td>0</td>\n </tr>\n <tr>\n <th>396</th>\n <td>1</td>\n <td>2</td>\n <td>176330</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>397</th>\n <td>0</td>\n <td>1</td>\n <td>91689</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>398</th>\n <td>0</td>\n <td>1</td>\n <td>64070</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>399</th>\n <td>0</td>\n <td>2</td>\n <td>74497</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>400</th>\n <td>1</td>\n <td>1</td>\n <td>197421</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>401</th>\n <td>0</td>\n <td>1</td>\n <td>73065</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>402</th>\n <td>1</td>\n <td>0</td>\n <td>105376</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>403</th>\n <td>0</td>\n <td>0</td>\n <td>130912</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>404</th>\n <td>1</td>\n <td>0</td>\n <td>34334</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>405</th>\n <td>0</td>\n <td>0</td>\n <td>140266</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>406</th>\n <td>0</td>\n <td>1</td>\n <td>107688</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>407</th>\n <td>0</td>\n <td>2</td>\n <td>52144</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>408</th>\n <td>1</td>\n <td>0</td>\n <td>77059</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>409</th>\n <td>0</td>\n <td>2</td>\n <td>163058</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>410</th>\n <td>0</td>\n <td>0</td>\n <td>41152</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>411</th>\n <td>0</td>\n <td>1</td>\n <td>46253</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>412</th>\n <td>1</td>\n <td>2</td>\n <td>28446</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>413</th>\n <td>1</td>\n <td>2</td>\n <td>112890</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>414</th>\n <td>0</td>\n <td>0</td>\n <td>27300</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>415</th>\n <td>0</td>\n <td>0</td>\n <td>131493</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>416</th>\n <td>0</td>\n <td>2</td>\n <td>33982</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>417</th>\n <td>0</td>\n <td>0</td>\n <td>76625</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>418</th>\n <td>1</td>\n <td>0</td>\n <td>104183</td>\n <td>18</td>\n <td>0</td>\n </tr>\n <tr>\n <th>419</th>\n <td>0</td>\n <td>1</td>\n <td>138074</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>420</th>\n <td>0</td>\n <td>0</td>\n <td>84473</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>421</th>\n <td>1</td>\n <td>2</td>\n <td>135185</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>422</th>\n <td>0</td>\n <td>0</td>\n <td>191983</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>423</th>\n <td>0</td>\n <td>1</td>\n <td>80249</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>424</th>\n <td>1</td>\n <td>1</td>\n <td>94199</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>425</th>\n <td>1</td>\n <td>0</td>\n <td>121506</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>426</th>\n <td>1</td>\n <td>0</td>\n <td>50373</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>427</th>\n <td>0</td>\n <td>0</td>\n <td>99025</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>428</th>\n <td>1</td>\n <td>1</td>\n <td>128266</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>429</th>\n <td>0</td>\n <td>2</td>\n <td>153748</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>430</th>\n <td>1</td>\n <td>1</td>\n <td>161215</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>431</th>\n <td>0</td>\n <td>2</td>\n <td>168360</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>432</th>\n <td>0</td>\n <td>1</td>\n <td>157217</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>433</th>\n <td>0</td>\n <td>1</td>\n <td>129265</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>434</th>\n <td>1</td>\n <td>2</td>\n <td>87188</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>435</th>\n <td>0</td>\n <td>0</td>\n <td>111774</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>436</th>\n <td>0</td>\n <td>0</td>\n <td>158057</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>437</th>\n <td>1</td>\n <td>1</td>\n <td>117250</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>438</th>\n <td>0</td>\n <td>2</td>\n <td>74697</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>439</th>\n <td>1</td>\n <td>0</td>\n <td>48956</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>440</th>\n <td>0</td>\n <td>2</td>\n <td>170407</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>441</th>\n <td>0</td>\n <td>0</td>\n <td>70314</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>442</th>\n <td>1</td>\n <td>2</td>\n <td>193775</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>443</th>\n <td>1</td>\n <td>2</td>\n <td>189209</td>\n <td>9</td>\n <td>0</td>\n </tr>\n <tr>\n <th>444</th>\n <td>1</td>\n <td>2</td>\n <td>36956</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>445</th>\n <td>0</td>\n <td>0</td>\n <td>128451</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>446</th>\n <td>0</td>\n <td>2</td>\n <td>65708</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>447</th>\n <td>0</td>\n <td>1</td>\n <td>166606</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>448</th>\n <td>1</td>\n <td>2</td>\n <td>114597</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>449</th>\n <td>0</td>\n <td>1</td>\n <td>27875</td>\n <td>11</td>\n <td>0</td>\n </tr>\n <tr>\n <th>450</th>\n <td>1</td>\n <td>0</td>\n <td>91936</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>451</th>\n <td>1</td>\n <td>0</td>\n <td>108262</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>452</th>\n <td>0</td>\n <td>2</td>\n <td>42620</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>453</th>\n <td>1</td>\n <td>2</td>\n <td>41504</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>454</th>\n <td>0</td>\n <td>1</td>\n <td>29602</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>455</th>\n <td>0</td>\n <td>1</td>\n <td>65533</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>456</th>\n <td>0</td>\n <td>2</td>\n <td>53788</td>\n <td>23</td>\n <td>1</td>\n </tr>\n <tr>\n <th>457</th>\n <td>0</td>\n <td>1</td>\n <td>36055</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>458</th>\n <td>1</td>\n <td>2</td>\n <td>110892</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>459</th>\n <td>1</td>\n <td>0</td>\n <td>125407</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>460</th>\n <td>0</td>\n <td>0</td>\n <td>54701</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>461</th>\n <td>0</td>\n <td>2</td>\n <td>163901</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>462</th>\n <td>0</td>\n <td>0</td>\n <td>149327</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>463</th>\n <td>0</td>\n <td>0</td>\n <td>40460</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>464</th>\n <td>0</td>\n <td>1</td>\n <td>143349</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>465</th>\n <td>0</td>\n <td>0</td>\n <td>116282</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>466</th>\n <td>0</td>\n <td>1</td>\n <td>186013</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>467</th>\n <td>1</td>\n <td>0</td>\n <td>106946</td>\n <td>20</td>\n <td>1</td>\n </tr>\n <tr>\n <th>468</th>\n <td>1</td>\n <td>0</td>\n <td>38814</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>469</th>\n <td>1</td>\n <td>2</td>\n <td>65487</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>470</th>\n <td>1</td>\n <td>1</td>\n <td>148686</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>471</th>\n <td>0</td>\n <td>2</td>\n <td>192410</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>472</th>\n <td>0</td>\n <td>1</td>\n <td>151963</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>473</th>\n <td>1</td>\n <td>2</td>\n <td>147367</td>\n <td>16</td>\n <td>1</td>\n </tr>\n <tr>\n <th>474</th>\n <td>1</td>\n <td>0</td>\n <td>80729</td>\n <td>0</td>\n <td>0</td>\n </tr>\n <tr>\n <th>475</th>\n <td>0</td>\n <td>2</td>\n <td>36081</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>476</th>\n <td>0</td>\n <td>2</td>\n <td>183057</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>477</th>\n <td>1</td>\n <td>0</td>\n <td>158849</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>478</th>\n <td>0</td>\n <td>0</td>\n <td>65242</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>479</th>\n <td>1</td>\n <td>1</td>\n <td>68995</td>\n <td>21</td>\n <td>0</td>\n </tr>\n <tr>\n <th>480</th>\n <td>0</td>\n <td>0</td>\n <td>72252</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>481</th>\n <td>1</td>\n <td>2</td>\n <td>120012</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>482</th>\n <td>0</td>\n <td>2</td>\n <td>125771</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>483</th>\n <td>0</td>\n <td>2</td>\n <td>100961</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>484</th>\n <td>1</td>\n <td>1</td>\n <td>114646</td>\n <td>28</td>\n <td>1</td>\n </tr>\n <tr>\n <th>485</th>\n <td>0</td>\n <td>2</td>\n <td>52766</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>486</th>\n <td>1</td>\n <td>2</td>\n <td>57230</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>487</th>\n <td>1</td>\n <td>2</td>\n <td>83402</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>488</th>\n <td>1</td>\n <td>2</td>\n <td>76718</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>489</th>\n <td>1</td>\n <td>1</td>\n <td>148821</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>490</th>\n <td>0</td>\n <td>1</td>\n <td>120996</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>491</th>\n <td>0</td>\n <td>0</td>\n <td>82029</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>492</th>\n <td>1</td>\n <td>2</td>\n <td>98123</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>493</th>\n <td>0</td>\n <td>1</td>\n <td>103226</td>\n <td>29</td>\n <td>0</td>\n </tr>\n <tr>\n <th>494</th>\n <td>0</td>\n <td>2</td>\n <td>197045</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>495</th>\n <td>0</td>\n <td>1</td>\n <td>59156</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>496</th>\n <td>1</td>\n <td>0</td>\n <td>59382</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>497</th>\n <td>0</td>\n <td>2</td>\n <td>100331</td>\n <td>3</td>\n <td>0</td>\n </tr>\n <tr>\n <th>498</th>\n <td>1</td>\n <td>2</td>\n <td>164924</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>499</th>\n <td>1</td>\n <td>2</td>\n <td>48744</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>500</th>\n <td>1</td>\n <td>2</td>\n <td>158780</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>501</th>\n <td>0</td>\n <td>0</td>\n <td>55842</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>502</th>\n <td>0</td>\n <td>1</td>\n <td>53240</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>503</th>\n <td>1</td>\n <td>1</td>\n <td>81550</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>504</th>\n <td>0</td>\n <td>0</td>\n <td>198571</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>505</th>\n <td>0</td>\n <td>0</td>\n <td>74910</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>506</th>\n <td>0</td>\n <td>2</td>\n <td>111105</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>507</th>\n <td>1</td>\n <td>2</td>\n <td>101272</td>\n <td>24</td>\n <td>1</td>\n </tr>\n <tr>\n <th>508</th>\n <td>0</td>\n <td>2</td>\n <td>195357</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>509</th>\n <td>0</td>\n <td>1</td>\n <td>65531</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>510</th>\n <td>1</td>\n <td>1</td>\n <td>75436</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>511</th>\n <td>0</td>\n <td>1</td>\n <td>153233</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>512</th>\n <td>1</td>\n <td>2</td>\n <td>137948</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>513</th>\n <td>0</td>\n <td>0</td>\n <td>140400</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>514</th>\n <td>0</td>\n <td>0</td>\n <td>31380</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>515</th>\n <td>0</td>\n <td>0</td>\n <td>87868</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>516</th>\n <td>1</td>\n <td>2</td>\n <td>76337</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>517</th>\n <td>0</td>\n <td>2</td>\n <td>195078</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>518</th>\n <td>1</td>\n <td>2</td>\n <td>112591</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>519</th>\n <td>1</td>\n <td>2</td>\n <td>162102</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>520</th>\n <td>0</td>\n <td>0</td>\n <td>142426</td>\n <td>8</td>\n <td>1</td>\n </tr>\n <tr>\n <th>521</th>\n <td>0</td>\n <td>0</td>\n <td>51104</td>\n <td>15</td>\n <td>0</td>\n </tr>\n <tr>\n <th>522</th>\n <td>0</td>\n <td>0</td>\n <td>103343</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>523</th>\n <td>0</td>\n <td>0</td>\n <td>42198</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>524</th>\n <td>1</td>\n <td>1</td>\n <td>164391</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>525</th>\n <td>1</td>\n <td>2</td>\n <td>75307</td>\n <td>23</td>\n <td>0</td>\n </tr>\n <tr>\n <th>526</th>\n <td>0</td>\n <td>0</td>\n <td>82565</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>527</th>\n <td>0</td>\n <td>1</td>\n <td>180274</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>528</th>\n <td>0</td>\n <td>1</td>\n <td>172612</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>529</th>\n <td>0</td>\n <td>0</td>\n <td>83388</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>530</th>\n <td>1</td>\n <td>0</td>\n <td>194421</td>\n <td>17</td>\n <td>1</td>\n </tr>\n <tr>\n <th>531</th>\n <td>1</td>\n <td>1</td>\n <td>124440</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>532</th>\n <td>1</td>\n <td>0</td>\n <td>98662</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>533</th>\n <td>0</td>\n <td>0</td>\n <td>54113</td>\n <td>19</td>\n <td>1</td>\n </tr>\n <tr>\n <th>534</th>\n <td>1</td>\n <td>1</td>\n <td>91567</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>535</th>\n <td>0</td>\n <td>1</td>\n <td>189851</td>\n <td>3</td>\n <td>0</td>\n </tr>\n <tr>\n <th>536</th>\n <td>0</td>\n <td>2</td>\n <td>157025</td>\n <td>14</td>\n <td>0</td>\n </tr>\n <tr>\n <th>537</th>\n <td>1</td>\n <td>2</td>\n <td>100651</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>538</th>\n <td>0</td>\n <td>1</td>\n <td>119976</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>539</th>\n <td>1</td>\n <td>0</td>\n <td>57390</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>540</th>\n <td>1</td>\n <td>2</td>\n <td>110308</td>\n <td>22</td>\n <td>0</td>\n </tr>\n <tr>\n <th>541</th>\n <td>1</td>\n <td>0</td>\n <td>191874</td>\n <td>30</td>\n <td>1</td>\n </tr>\n <tr>\n <th>542</th>\n <td>1</td>\n <td>1</td>\n <td>199778</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>543</th>\n <td>0</td>\n <td>2</td>\n <td>130816</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>544</th>\n <td>0</td>\n <td>2</td>\n <td>133877</td>\n <td>21</td>\n <td>1</td>\n </tr>\n <tr>\n <th>545</th>\n <td>1</td>\n <td>0</td>\n <td>109079</td>\n <td>8</td>\n <td>0</td>\n </tr>\n <tr>\n <th>546</th>\n <td>0</td>\n <td>1</td>\n <td>59091</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>547</th>\n <td>1</td>\n <td>2</td>\n <td>42690</td>\n <td>25</td>\n <td>1</td>\n </tr>\n <tr>\n <th>548</th>\n <td>1</td>\n <td>0</td>\n <td>154393</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>549</th>\n <td>0</td>\n <td>1</td>\n <td>74058</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>550</th>\n <td>0</td>\n <td>1</td>\n <td>68160</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>551</th>\n <td>1</td>\n <td>1</td>\n <td>123082</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>552</th>\n <td>0</td>\n <td>2</td>\n <td>109191</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>553</th>\n <td>0</td>\n <td>2</td>\n <td>26884</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>554</th>\n <td>0</td>\n <td>0</td>\n <td>147788</td>\n <td>27</td>\n <td>0</td>\n </tr>\n <tr>\n <th>555</th>\n <td>0</td>\n <td>2</td>\n <td>53848</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>556</th>\n <td>0</td>\n <td>2</td>\n <td>34242</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>557</th>\n <td>1</td>\n <td>1</td>\n <td>157421</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>558</th>\n <td>0</td>\n <td>0</td>\n <td>191139</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>559</th>\n <td>1</td>\n <td>0</td>\n <td>180424</td>\n <td>26</td>\n <td>0</td>\n </tr>\n <tr>\n <th>560</th>\n <td>0</td>\n <td>0</td>\n <td>182562</td>\n <td>24</td>\n <td>0</td>\n </tr>\n <tr>\n <th>561</th>\n <td>0</td>\n <td>1</td>\n <td>36861</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>562</th>\n <td>1</td>\n <td>0</td>\n <td>100064</td>\n <td>12</td>\n <td>0</td>\n </tr>\n <tr>\n <th>563</th>\n <td>1</td>\n <td>1</td>\n <td>116495</td>\n <td>6</td>\n <td>1</td>\n </tr>\n <tr>\n <th>564</th>\n <td>1</td>\n <td>1</td>\n <td>30098</td>\n <td>11</td>\n <td>1</td>\n </tr>\n <tr>\n <th>565</th>\n <td>0</td>\n <td>0</td>\n <td>31064</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>566</th>\n <td>0</td>\n <td>1</td>\n <td>33460</td>\n <td>28</td>\n <td>0</td>\n </tr>\n <tr>\n <th>567</th>\n <td>1</td>\n <td>2</td>\n <td>129912</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>568</th>\n <td>0</td>\n <td>2</td>\n <td>150036</td>\n <td>22</td>\n <td>1</td>\n </tr>\n <tr>\n <th>569</th>\n <td>1</td>\n <td>2</td>\n <td>38074</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>570</th>\n <td>0</td>\n <td>2</td>\n <td>161629</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>571</th>\n <td>0</td>\n <td>2</td>\n <td>95421</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>572</th>\n <td>1</td>\n <td>1</td>\n <td>148068</td>\n <td>13</td>\n <td>0</td>\n </tr>\n <tr>\n <th>573</th>\n <td>1</td>\n <td>1</td>\n <td>116161</td>\n <td>20</td>\n <td>0</td>\n </tr>\n <tr>\n <th>574</th>\n <td>1</td>\n <td>0</td>\n <td>28768</td>\n <td>29</td>\n <td>1</td>\n </tr>\n <tr>\n <th>575</th>\n <td>0</td>\n <td>0</td>\n <td>95975</td>\n <td>13</td>\n <td>1</td>\n </tr>\n <tr>\n <th>576</th>\n <td>1</td>\n <td>1</td>\n <td>79653</td>\n <td>15</td>\n <td>1</td>\n </tr>\n <tr>\n <th>577</th>\n <td>1</td>\n <td>1</td>\n <td>52940</td>\n <td>5</td>\n <td>1</td>\n </tr>\n <tr>\n <th>578</th>\n <td>0</td>\n <td>0</td>\n <td>185339</td>\n <td>6</td>\n <td>0</td>\n </tr>\n <tr>\n <th>579</th>\n <td>1</td>\n <td>2</td>\n <td>125112</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>580</th>\n <td>1</td>\n <td>0</td>\n <td>123335</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>581</th>\n <td>1</td>\n <td>0</td>\n <td>57473</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>582</th>\n <td>1</td>\n <td>1</td>\n <td>32907</td>\n <td>12</td>\n <td>1</td>\n </tr>\n <tr>\n <th>583</th>\n <td>0</td>\n <td>1</td>\n <td>28874</td>\n <td>19</td>\n <td>0</td>\n </tr>\n <tr>\n <th>584</th>\n <td>0</td>\n <td>0</td>\n <td>155684</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>585</th>\n <td>0</td>\n <td>2</td>\n <td>137622</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>586</th>\n <td>1</td>\n <td>2</td>\n <td>106230</td>\n <td>30</td>\n <td>0</td>\n </tr>\n <tr>\n <th>587</th>\n <td>0</td>\n <td>2</td>\n <td>154677</td>\n <td>26</td>\n <td>1</td>\n </tr>\n <tr>\n <th>588</th>\n <td>1</td>\n <td>1</td>\n <td>93242</td>\n <td>27</td>\n <td>1</td>\n </tr>\n <tr>\n <th>589</th>\n <td>1</td>\n <td>1</td>\n <td>30774</td>\n <td>10</td>\n <td>0</td>\n </tr>\n <tr>\n <th>590</th>\n <td>0</td>\n <td>1</td>\n <td>85195</td>\n <td>14</td>\n <td>1</td>\n </tr>\n <tr>\n <th>591</th>\n <td>1</td>\n <td>2</td>\n <td>132859</td>\n <td>18</td>\n <td>1</td>\n </tr>\n <tr>\n <th>592</th>\n <td>1</td>\n <td>2</td>\n <td>75143</td>\n <td>16</td>\n <td>0</td>\n </tr>\n <tr>\n <th>593</th>\n <td>0</td>\n <td>0</td>\n <td>131963</td>\n <td>10</td>\n <td>1</td>\n </tr>\n <tr>\n <th>594</th>\n <td>0</td>\n <td>1</td>\n <td>97526</td>\n <td>9</td>\n <td>1</td>\n </tr>\n <tr>\n <th>595</th>\n <td>1</td>\n <td>0</td>\n <td>39492</td>\n <td>7</td>\n <td>1</td>\n </tr>\n <tr>\n <th>596</th>\n <td>1</td>\n <td>0</td>\n <td>55369</td>\n <td>2</td>\n <td>1</td>\n </tr>\n <tr>\n <th>597</th>\n <td>0</td>\n <td>0</td>\n <td>154058</td>\n <td>0</td>\n <td>1</td>\n </tr>\n <tr>\n <th>598</th>\n <td>1</td>\n <td>1</td>\n <td>180083</td>\n <td>17</td>\n <td>0</td>\n </tr>\n <tr>\n <th>599</th>\n <td>0</td>\n <td>0</td>\n <td>158137</td>\n <td>16</td>\n <td>0</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " Undergrad Marital.Status City.Population Work.Experience Urban\n0 0 2 50047 10 1\n1 1 0 134075 18 1\n2 0 1 160205 30 1\n3 1 2 193264 15 1\n4 0 1 27533 28 0\n5 0 0 116382 0 0\n6 0 0 80890 8 1\n7 1 2 131253 3 1\n8 0 2 102481 12 1\n9 1 0 155482 4 1\n10 0 2 102602 19 1\n11 0 2 94875 6 1\n12 0 0 148033 14 1\n13 0 1 86649 16 1\n14 0 1 57529 13 1\n15 0 0 107764 29 0\n16 1 0 34551 29 0\n17 1 1 57194 25 0\n18 1 0 59269 6 0\n19 0 2 126953 30 1\n20 1 2 147222 26 0\n21 1 0 29106 7 1\n22 1 0 155342 14 0\n23 0 2 50495 12 1\n24 0 0 28495 30 0\n25 0 0 124606 27 1\n26 1 0 169128 15 0\n27 1 2 28542 12 1\n28 1 2 128766 5 1\n29 1 0 41863 30 1\n30 1 0 117788 0 1\n31 0 0 147414 21 0\n32 1 1 51911 23 0\n33 1 2 157251 21 0\n34 1 0 183767 1 1\n35 1 1 41117 30 1\n36 1 1 193995 5 1\n37 0 1 66912 5 1\n38 0 2 177575 3 0\n39 0 1 54981 16 1\n40 0 2 199697 26 1\n41 1 1 91524 1 0\n42 0 2 51666 12 0\n43 1 0 50020 10 0\n44 1 0 98880 22 0\n45 1 1 183095 14 1\n46 1 1 137346 27 1\n47 1 2 34964 2 0\n48 0 1 35480 12 0\n49 0 0 160195 15 1\n50 1 2 145804 3 1\n51 1 2 174042 30 0\n52 0 2 91828 23 0\n53 1 2 139143 7 1\n54 0 0 98207 23 0\n55 1 2 89965 16 1\n56 0 1 69832 25 1\n57 0 2 70744 13 0\n58 1 2 158047 15 0\n59 0 2 102228 11 0\n60 1 1 91138 23 0\n61 1 1 86169 8 0\n62 0 0 147684 13 1\n63 1 0 95831 9 0\n64 1 2 118261 15 0\n65 0 0 194738 29 0\n66 1 1 66985 12 1\n67 1 1 173986 24 0\n68 0 2 139642 5 0\n69 1 2 86896 29 0\n70 1 0 80904 3 1\n71 0 2 105680 22 0\n72 1 0 108300 27 1\n73 1 2 174789 2 1\n74 0 0 182319 17 0\n75 0 1 50404 19 1\n76 1 1 129164 11 0\n77 1 1 118344 26 0\n78 1 0 143153 0 0\n79 0 0 140885 7 1\n80 0 1 28184 26 0\n81 1 0 121608 24 0\n82 0 0 111068 26 1\n83 0 0 73963 18 1\n84 0 1 178083 4 1\n85 1 0 125155 12 1\n86 1 0 97520 29 1\n87 1 2 64075 23 0\n88 0 1 63896 24 1\n89 1 1 176050 20 0\n90 0 0 101232 29 0\n91 1 1 73733 10 1\n92 0 0 114621 13 0\n93 1 1 137676 3 1\n94 0 2 122705 6 1\n95 1 2 121498 28 1\n96 0 2 63622 17 0\n97 1 0 37849 19 1\n98 1 1 77053 18 1\n99 0 1 114350 12 0\n100 1 2 46444 25 0\n101 1 1 50490 20 1\n102 1 0 91488 23 0\n103 0 0 76318 5 1\n104 0 2 174423 14 0\n105 0 2 46893 15 0\n106 1 2 58535 20 1\n107 0 1 52424 6 1\n108 1 1 120894 10 1\n109 1 1 178585 8 1\n110 0 2 32450 19 1\n111 0 2 164526 11 1\n112 1 2 193038 26 1\n113 1 1 100347 7 1\n114 0 2 197934 7 0\n115 1 0 78251 21 1\n116 0 1 132570 12 0\n117 0 2 96370 29 1\n118 0 0 199174 10 0\n119 0 0 47202 30 1\n120 1 2 135886 11 1\n121 1 1 86648 16 1\n122 1 1 140762 26 0\n123 1 1 79683 26 0\n124 1 0 139324 13 0\n125 1 0 155669 11 0\n126 1 0 195022 3 1\n127 0 2 93035 28 1\n128 0 1 100897 27 1\n129 1 2 65469 26 0\n130 1 2 87730 7 1\n131 1 2 174321 16 1\n132 0 0 67820 12 0\n133 0 2 86646 14 1\n134 1 1 190365 28 0\n135 1 0 75323 19 1\n136 0 0 53513 9 0\n137 1 2 115884 6 0\n138 0 2 155335 25 0\n139 1 0 86904 20 0\n140 1 1 93390 4 1\n141 1 1 194364 23 1\n142 0 2 122654 26 1\n143 1 2 154013 11 0\n144 1 2 156503 29 1\n145 0 0 197422 2 1\n146 0 0 57931 28 1\n147 1 0 163252 28 0\n148 0 1 197038 21 0\n149 0 2 49505 25 0\n150 0 1 161759 28 0\n151 0 2 109110 10 0\n152 0 2 91889 16 0\n153 1 0 114841 28 0\n154 0 2 82520 29 1\n155 1 2 139624 7 0\n156 1 1 125987 3 1\n157 1 1 115631 5 0\n158 0 0 163347 11 0\n159 1 2 28504 1 0\n160 1 0 79972 0 1\n161 1 1 185596 30 1\n162 1 1 177468 21 1\n163 1 0 91851 15 1\n164 1 2 153192 28 0\n165 1 1 38463 23 1\n166 0 1 73466 22 1\n167 0 1 194381 25 0\n168 0 0 167629 30 0\n169 1 2 76933 6 1\n170 0 0 143402 10 0\n171 1 1 103614 24 0\n172 0 1 52819 23 1\n173 1 2 105110 16 1\n174 1 2 149857 8 0\n175 1 2 57055 13 0\n176 0 1 75169 28 0\n177 0 1 31156 13 1\n178 0 2 85832 15 1\n179 1 1 192451 22 1\n180 1 2 149101 19 0\n181 0 0 36116 20 0\n182 0 0 89632 4 1\n183 0 2 39523 30 1\n184 0 0 70138 15 1\n185 0 1 92975 0 1\n186 0 1 166976 19 1\n187 0 2 59558 5 1\n188 0 0 137569 10 0\n189 1 1 189301 11 1\n190 0 2 90459 19 0\n191 0 2 176341 7 1\n192 1 1 126556 10 1\n193 1 1 198213 25 0\n194 1 2 103981 28 0\n195 1 2 181370 13 1\n196 1 1 28410 21 0\n197 0 2 98056 4 1\n198 0 2 48025 28 1\n199 1 1 145744 9 1\n200 1 2 162777 17 1\n201 1 0 58225 27 1\n202 1 2 28661 0 1\n203 1 0 117260 4 0\n204 0 1 173091 14 0\n205 0 1 131906 20 1\n206 1 2 52227 16 1\n207 1 1 138108 28 0\n208 1 2 141502 3 0\n209 1 2 186239 25 1\n210 1 2 125993 13 1\n211 1 1 57194 8 1\n212 1 0 112659 14 0\n213 1 2 107069 13 0\n214 0 0 140159 16 0\n215 0 0 28576 22 0\n216 0 0 85128 22 0\n217 1 0 179220 19 1\n218 0 1 38091 19 0\n219 1 0 26814 9 0\n220 1 0 115168 30 0\n221 1 2 134135 14 0\n222 1 0 168248 27 0\n223 1 1 192297 17 1\n224 0 1 55717 25 1\n225 1 2 125883 0 1\n226 0 2 77719 28 0\n227 1 2 182921 17 1\n228 0 1 100696 9 1\n229 0 1 35780 10 0\n230 0 1 81593 14 1\n231 1 2 153147 2 0\n232 1 1 150349 2 0\n233 0 1 63701 19 1\n234 0 2 102498 14 0\n235 0 0 87541 9 0\n236 1 1 193193 3 0\n237 0 1 128996 3 1\n238 1 2 72968 9 1\n239 0 0 76145 26 0\n240 0 2 139146 30 1\n241 1 2 31377 18 1\n242 0 0 84368 2 1\n243 0 0 181549 10 1\n244 1 2 154647 27 0\n245 0 2 183221 24 0\n246 1 2 38139 25 0\n247 1 0 108245 1 0\n248 0 2 105374 17 1\n249 1 2 35376 0 1\n250 0 1 156973 16 0\n251 1 2 173228 7 0\n252 0 2 40855 28 1\n253 1 2 77256 29 0\n254 0 0 193263 26 0\n255 1 1 170030 8 0\n256 1 1 168568 14 0\n257 1 1 31611 17 1\n258 0 0 74119 28 1\n259 0 1 197841 7 0\n260 1 2 92333 28 0\n261 0 2 68788 7 1\n262 0 0 120415 21 0\n263 1 1 69386 21 1\n264 0 2 118899 5 0\n265 0 1 101996 4 1\n266 1 1 173276 17 1\n267 0 2 183946 11 0\n268 0 2 98378 3 1\n269 1 1 125450 13 1\n270 0 1 130680 5 0\n271 0 2 183682 20 0\n272 0 2 126488 1 1\n273 1 0 58942 20 0\n274 1 1 112584 25 0\n275 1 1 55591 0 1\n276 0 2 44251 17 1\n277 0 0 117364 11 0\n278 0 1 114823 11 0\n279 1 2 74136 12 1\n280 0 0 33184 1 0\n281 0 2 167403 7 1\n282 1 1 59590 29 0\n283 1 0 129276 22 0\n284 0 0 188383 22 1\n285 0 2 63420 10 0\n286 1 0 113724 6 0\n287 1 2 77102 1 1\n288 1 1 174196 21 1\n289 0 2 196816 14 0\n290 1 1 193003 30 1\n291 1 2 62475 26 1\n292 1 2 76406 1 1\n293 0 0 43899 21 1\n294 1 2 74074 2 0\n295 1 1 40089 10 0\n296 1 0 167600 26 0\n297 0 1 36924 15 0\n298 0 2 119904 21 1\n299 1 2 197916 7 0\n300 0 1 74052 30 0\n301 1 1 39797 11 0\n302 1 0 97109 27 0\n303 1 0 189061 13 1\n304 1 0 106757 23 1\n305 0 2 161265 29 1\n306 1 0 185099 12 0\n307 0 0 31819 25 0\n308 1 1 183445 30 0\n309 1 2 123761 20 1\n310 1 0 189435 22 1\n311 0 1 50013 19 0\n312 1 2 31641 18 0\n313 1 2 124848 2 0\n314 0 2 85255 4 0\n315 1 0 176278 19 0\n316 0 1 70323 25 0\n317 1 1 116745 23 0\n318 0 0 121324 14 1\n319 1 0 153308 24 1\n320 1 2 78897 11 1\n321 0 2 84215 6 1\n322 0 0 160932 24 1\n323 1 1 165175 13 0\n324 1 2 171288 15 0\n325 0 2 25779 16 1\n326 1 0 165001 19 1\n327 1 1 162777 7 0\n328 0 0 93414 12 1\n329 0 2 39360 10 0\n330 0 1 43176 29 0\n331 1 1 60999 15 1\n332 1 0 84132 1 0\n333 1 2 44775 13 1\n334 0 2 118274 13 1\n335 1 1 140998 15 0\n336 0 1 73146 5 0\n337 1 1 73490 7 0\n338 1 0 111264 23 0\n339 1 2 110940 10 0\n340 1 1 54437 21 1\n341 0 1 83900 8 1\n342 1 1 31097 7 1\n343 1 0 161143 17 0\n344 0 1 192313 5 1\n345 1 0 118798 6 0\n346 0 2 134635 30 1\n347 0 1 80991 0 1\n348 1 2 42269 2 0\n349 1 0 72255 30 1\n350 0 1 89949 25 0\n351 1 1 114922 12 0\n352 0 0 72115 16 1\n353 1 1 141622 29 0\n354 1 1 176891 27 1\n355 1 2 56488 17 0\n356 0 1 46480 27 0\n357 0 1 84034 28 0\n358 1 2 96432 24 1\n359 1 2 157299 11 0\n360 1 2 107937 5 1\n361 1 0 62671 20 0\n362 1 0 75552 17 1\n363 1 2 52584 7 1\n364 1 1 62943 17 0\n365 0 0 134321 10 1\n366 1 1 131469 30 0\n367 1 1 95404 24 1\n368 1 0 128428 14 0\n369 0 1 89122 28 0\n370 0 0 86119 5 1\n371 1 2 75580 5 0\n372 1 1 168473 9 0\n373 0 1 175719 21 1\n374 1 0 147614 9 1\n375 0 1 130935 2 0\n376 0 0 188067 26 0\n377 1 2 103490 30 0\n378 1 0 152471 6 0\n379 0 2 112774 13 0\n380 1 1 197699 2 0\n381 0 2 61920 4 0\n382 1 0 139269 29 0\n383 1 1 148246 5 1\n384 1 1 147346 25 0\n385 0 2 140132 27 0\n386 0 2 140642 27 1\n387 1 2 56597 9 1\n388 1 0 151636 4 1\n389 1 2 183187 5 1\n390 1 2 57324 17 0\n391 0 1 29934 1 0\n392 1 0 37776 15 0\n393 0 1 68687 30 1\n394 0 0 64990 21 1\n395 1 2 183094 5 0\n396 1 2 176330 21 0\n397 0 1 91689 14 1\n398 0 1 64070 2 1\n399 0 2 74497 21 0\n400 1 1 197421 16 0\n401 0 1 73065 20 0\n402 1 0 105376 11 0\n403 0 0 130912 27 1\n404 1 0 34334 21 1\n405 0 0 140266 28 0\n406 0 1 107688 2 0\n407 0 2 52144 6 0\n408 1 0 77059 22 0\n409 0 2 163058 1 0\n410 0 0 41152 27 0\n411 0 1 46253 19 0\n412 1 2 28446 11 0\n413 1 2 112890 11 1\n414 0 0 27300 1 1\n415 0 0 131493 21 0\n416 0 2 33982 30 0\n417 0 0 76625 2 0\n418 1 0 104183 18 0\n419 0 1 138074 20 0\n420 0 0 84473 2 0\n421 1 2 135185 13 0\n422 0 0 191983 14 1\n423 0 1 80249 19 1\n424 1 1 94199 0 1\n425 1 0 121506 27 0\n426 1 0 50373 25 1\n427 0 0 99025 10 0\n428 1 1 128266 24 1\n429 0 2 153748 30 1\n430 1 1 161215 8 0\n431 0 2 168360 25 1\n432 0 1 157217 11 1\n433 0 1 129265 14 1\n434 1 2 87188 19 1\n435 0 0 111774 4 1\n436 0 0 158057 4 1\n437 1 1 117250 20 1\n438 0 2 74697 14 0\n439 1 0 48956 8 0\n440 0 2 170407 13 1\n441 0 0 70314 24 0\n442 1 2 193775 27 0\n443 1 2 189209 9 0\n444 1 2 36956 14 0\n445 0 0 128451 12 0\n446 0 2 65708 28 0\n447 0 1 166606 5 1\n448 1 2 114597 28 1\n449 0 1 27875 11 0\n450 1 0 91936 8 1\n451 1 0 108262 10 1\n452 0 2 42620 10 0\n453 1 2 41504 26 0\n454 0 1 29602 15 1\n455 0 1 65533 23 1\n456 0 2 53788 23 1\n457 0 1 36055 24 1\n458 1 2 110892 18 1\n459 1 0 125407 21 0\n460 0 0 54701 10 1\n461 0 2 163901 6 1\n462 0 0 149327 17 0\n463 0 0 40460 3 1\n464 0 1 143349 16 1\n465 0 0 116282 21 0\n466 0 1 186013 16 0\n467 1 0 106946 20 1\n468 1 0 38814 18 1\n469 1 2 65487 13 1\n470 1 1 148686 26 0\n471 0 2 192410 21 1\n472 0 1 151963 11 1\n473 1 2 147367 16 1\n474 1 0 80729 0 0\n475 0 2 36081 12 1\n476 0 2 183057 7 1\n477 1 0 158849 29 0\n478 0 0 65242 6 0\n479 1 1 68995 21 0\n480 0 0 72252 26 1\n481 1 2 120012 13 0\n482 0 2 125771 12 0\n483 0 2 100961 10 0\n484 1 1 114646 28 1\n485 0 2 52766 23 0\n486 1 2 57230 29 1\n487 1 2 83402 13 1\n488 1 2 76718 10 1\n489 1 1 148821 6 0\n490 0 1 120996 24 0\n491 0 0 82029 10 0\n492 1 2 98123 18 1\n493 0 1 103226 29 0\n494 0 2 197045 13 1\n495 0 1 59156 24 0\n496 1 0 59382 5 1\n497 0 2 100331 3 0\n498 1 2 164924 24 1\n499 1 2 48744 2 1\n500 1 2 158780 11 1\n501 0 0 55842 4 1\n502 0 1 53240 1 1\n503 1 1 81550 17 1\n504 0 0 198571 19 1\n505 0 0 74910 15 1\n506 0 2 111105 8 1\n507 1 2 101272 24 1\n508 0 2 195357 19 0\n509 0 1 65531 27 1\n510 1 1 75436 14 1\n511 0 1 153233 5 1\n512 1 2 137948 22 1\n513 0 0 140400 10 0\n514 0 0 31380 6 0\n515 0 0 87868 13 0\n516 1 2 76337 18 1\n517 0 2 195078 26 0\n518 1 2 112591 26 1\n519 1 2 162102 25 1\n520 0 0 142426 8 1\n521 0 0 51104 15 0\n522 0 0 103343 10 0\n523 0 0 42198 12 0\n524 1 1 164391 27 0\n525 1 2 75307 23 0\n526 0 0 82565 12 0\n527 0 1 180274 27 0\n528 0 1 172612 10 0\n529 0 0 83388 14 0\n530 1 0 194421 17 1\n531 1 1 124440 14 1\n532 1 0 98662 16 0\n533 0 0 54113 19 1\n534 1 1 91567 13 1\n535 0 1 189851 3 0\n536 0 2 157025 14 0\n537 1 2 100651 6 0\n538 0 1 119976 12 0\n539 1 0 57390 8 0\n540 1 2 110308 22 0\n541 1 0 191874 30 1\n542 1 1 199778 27 0\n543 0 2 130816 13 0\n544 0 2 133877 21 1\n545 1 0 109079 8 0\n546 0 1 59091 6 0\n547 1 2 42690 25 1\n548 1 0 154393 9 1\n549 0 1 74058 11 1\n550 0 1 68160 2 1\n551 1 1 123082 0 1\n552 0 2 109191 5 1\n553 0 2 26884 13 1\n554 0 0 147788 27 0\n555 0 2 53848 10 0\n556 0 2 34242 12 0\n557 1 1 157421 10 0\n558 0 0 191139 12 1\n559 1 0 180424 26 0\n560 0 0 182562 24 0\n561 0 1 36861 29 1\n562 1 0 100064 12 0\n563 1 1 116495 6 1\n564 1 1 30098 11 1\n565 0 0 31064 28 0\n566 0 1 33460 28 0\n567 1 2 129912 30 0\n568 0 2 150036 22 1\n569 1 2 38074 12 1\n570 0 2 161629 29 1\n571 0 2 95421 7 1\n572 1 1 148068 13 0\n573 1 1 116161 20 0\n574 1 0 28768 29 1\n575 0 0 95975 13 1\n576 1 1 79653 15 1\n577 1 1 52940 5 1\n578 0 0 185339 6 0\n579 1 2 125112 7 1\n580 1 0 123335 1 1\n581 1 0 57473 10 1\n582 1 1 32907 12 1\n583 0 1 28874 19 0\n584 0 0 155684 4 1\n585 0 2 137622 2 1\n586 1 2 106230 30 0\n587 0 2 154677 26 1\n588 1 1 93242 27 1\n589 1 1 30774 10 0\n590 0 1 85195 14 1\n591 1 2 132859 18 1\n592 1 2 75143 16 0\n593 0 0 131963 10 1\n594 0 1 97526 9 1\n595 1 0 39492 7 1\n596 1 0 55369 2 1\n597 0 0 154058 0 1\n598 1 1 180083 17 0\n599 0 0 158137 16 0" | |
| }, | |
| "execution_count": 429, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.413981Z", | |
| "start_time": "2023-02-26T17:15:45.396847Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "316b62db", | |
| "cell_type": "code", | |
| "source": "colnames=list(x.columns)\ncolnames", | |
| "execution_count": 430, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "['Undergrad', 'Marital.Status', 'City.Population', 'Work.Experience', 'Urban']" | |
| }, | |
| "execution_count": 430, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.431298Z", | |
| "start_time": "2023-02-26T17:15:45.413981Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "6a0d87dc", | |
| "cell_type": "code", | |
| "source": "#splitting data\nx_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2,random_state=40)", | |
| "execution_count": 431, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": {}, | |
| "id": "ef807376", | |
| "cell_type": "markdown", | |
| "source": "# Decision Tree Model" | |
| }, | |
| { | |
| "metadata": {}, | |
| "id": "3fa95657", | |
| "cell_type": "markdown", | |
| "source": "## Using entropy" | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.462511Z", | |
| "start_time": "2023-02-26T17:15:45.439295Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "9a937be7", | |
| "cell_type": "code", | |
| "source": "model=DecisionTreeClassifier(criterion='entropy',max_depth=3)\nmodel.fit(x_train,y_train)", | |
| "execution_count": 432, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=3)" | |
| }, | |
| "execution_count": 432, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:45.969919Z", | |
| "start_time": "2023-02-26T17:15:45.462511Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "2a161914", | |
| "cell_type": "code", | |
| "source": "# plotting\ntree.plot_tree(model);", | |
| "execution_count": 433, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 640x480 with 1 Axes>" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.503769Z", | |
| "start_time": "2023-02-26T17:15:45.969919Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "b79e0e9c", | |
| "cell_type": "code", | |
| "source": "fn=['Undergrad',\n 'Marital.Status',\n 'City.Population',\n 'Work.Experience',\n 'Urban']\n\ncn=['risky','good']\nfig, axes = plt.subplots(nrows = 1,ncols = 1,figsize = (4,4), dpi=300)\ntree.plot_tree(model,\n feature_names = fn, \n class_names=cn,\n filled = True); ", | |
| "execution_count": 434, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 1200x1200 with 1 Axes>" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.518956Z", | |
| "start_time": "2023-02-26T17:15:46.503769Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "03fdbfb8", | |
| "cell_type": "code", | |
| "source": "text=tree.export_text(model,max_depth=4)\nprint(text)", | |
| "execution_count": 435, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "|--- feature_2 <= 63983.00\n| |--- feature_3 <= 23.50\n| | |--- feature_2 <= 40128.50\n| | | |--- class: 0\n| | |--- feature_2 > 40128.50\n| | | |--- class: 0\n| |--- feature_3 > 23.50\n| | |--- class: 0\n|--- feature_2 > 63983.00\n| |--- feature_2 <= 64532.50\n| | |--- class: 1\n| |--- feature_2 > 64532.50\n| | |--- feature_2 <= 130296.00\n| | | |--- class: 0\n| | |--- feature_2 > 130296.00\n| | | |--- class: 0\n\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.566681Z", | |
| "start_time": "2023-02-26T17:15:46.522473Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "3da22470", | |
| "cell_type": "code", | |
| "source": "model.feature_importances_", | |
| "execution_count": 436, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "array([0. , 0. , 0.71003667, 0.28996333, 0. ])" | |
| }, | |
| "execution_count": 436, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.596514Z", | |
| "start_time": "2023-02-26T17:15:46.566681Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "50a935bd", | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nfeature_imp = pd.Series(model.feature_importances_,index=fn).sort_values(ascending=False) \nfeature_imp", | |
| "execution_count": 437, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "City.Population 0.710037\nWork.Experience 0.289963\nUndergrad 0.000000\nMarital.Status 0.000000\nUrban 0.000000\ndtype: float64" | |
| }, | |
| "execution_count": 437, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.733972Z", | |
| "start_time": "2023-02-26T17:15:46.596514Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "16847eb7", | |
| "cell_type": "code", | |
| "source": "import matplotlib.pyplot as plt\nimport seaborn as sns\n%matplotlib inline\nsns.barplot(x=feature_imp,y=feature_imp.index)\nplt.xlabel('Feature importance score')\nplt.ylabel('Features')\nplt.title('Visualizing important features')\nplt.show()", | |
| "execution_count": 438, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 640x480 with 1 Axes>" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.757710Z", | |
| "start_time": "2023-02-26T17:15:46.734680Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "fdb39d6f", | |
| "cell_type": "code", | |
| "source": "#predicting test data\npreds=model.predict(x_test)\npd.Series(preds).value_counts()", | |
| "execution_count": 439, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "0 120\ndtype: int64" | |
| }, | |
| "execution_count": 439, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.807861Z", | |
| "start_time": "2023-02-26T17:15:46.760310Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "5e44f855", | |
| "cell_type": "code", | |
| "source": "preds", | |
| "execution_count": 440, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])" | |
| }, | |
| "execution_count": 440, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.841584Z", | |
| "start_time": "2023-02-26T17:15:46.807861Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "aad4779e", | |
| "cell_type": "code", | |
| "source": "pd.crosstab(y_test,preds)", | |
| "execution_count": 441, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>col_0</th>\n <th>0</th>\n </tr>\n <tr>\n <th>Taxable.Income</th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>92</td>\n </tr>\n <tr>\n <th>1</th>\n <td>28</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": "col_0 0\nTaxable.Income \n0 92\n1 28" | |
| }, | |
| "execution_count": 441, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:15:46.856390Z", | |
| "start_time": "2023-02-26T17:15:46.841584Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "4c103cef", | |
| "cell_type": "code", | |
| "source": "#accuracy\nnp.mean(preds==y_test)", | |
| "execution_count": 442, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "0.7666666666666667" | |
| }, | |
| "execution_count": 442, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "id": "2b710ab3", | |
| "cell_type": "markdown", | |
| "source": "## Using Gini criteria" | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:41.645977Z", | |
| "start_time": "2023-02-26T17:21:41.622606Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "abdbf895", | |
| "cell_type": "code", | |
| "source": "from sklearn.tree import DecisionTreeClassifier\nmodel_gini=DecisionTreeClassifier(criterion='gini',max_depth=4)", | |
| "execution_count": 451, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:46.083429Z", | |
| "start_time": "2023-02-26T17:21:46.058598Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "ec9b23fd", | |
| "cell_type": "code", | |
| "source": "model_gini.fit(x_train,y_train)", | |
| "execution_count": 452, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "DecisionTreeClassifier(max_depth=4)" | |
| }, | |
| "execution_count": 452, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:46.110247Z", | |
| "start_time": "2023-02-26T17:21:46.089696Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "15b33f7a", | |
| "cell_type": "code", | |
| "source": "preds1=model_gini.predict(x_test)\nnp.mean(preds1==y_test)", | |
| "execution_count": 453, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "0.75" | |
| }, | |
| "execution_count": 453, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:46.132491Z", | |
| "start_time": "2023-02-26T17:21:46.111728Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "a576bd2b", | |
| "cell_type": "code", | |
| "source": "model_gini.feature_importances_", | |
| "execution_count": 454, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "array([0.0583974 , 0. , 0.8477052 , 0.06306542, 0.03083198])" | |
| }, | |
| "execution_count": 454, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:46.147994Z", | |
| "start_time": "2023-02-26T17:21:46.133401Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "0bb5c35b", | |
| "cell_type": "code", | |
| "source": "feature_imp1 = pd.Series(model_gini.feature_importances_,index=fn).sort_values(ascending=False) \nfeature_imp1", | |
| "execution_count": 455, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "City.Population 0.847705\nWork.Experience 0.063065\nUndergrad 0.058397\nUrban 0.030832\nMarital.Status 0.000000\ndtype: float64" | |
| }, | |
| "execution_count": 455, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:21:46.315790Z", | |
| "start_time": "2023-02-26T17:21:46.149930Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "ebff198e", | |
| "cell_type": "code", | |
| "source": "sns.barplot(x=feature_imp1,y=feature_imp1.index)\nplt.xlabel('Feature importance score')\nplt.ylabel('Features')\nplt.title('Visualizing important features')\nplt.show()", | |
| "execution_count": 456, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 640x480 with 1 Axes>" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2023-02-26T17:22:58.893796Z", | |
| "start_time": "2023-02-26T17:22:58.860756Z" | |
| }, | |
| "trusted": false | |
| }, | |
| "id": "2b07b04c", | |
| "cell_type": "code", | |
| "source": "pd.crosstab(y_test,preds1)", | |
| "execution_count": 457, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>col_0</th>\n <th>0</th>\n <th>1</th>\n </tr>\n <tr>\n <th>Taxable.Income</th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>89</td>\n <td>3</td>\n </tr>\n <tr>\n <th>1</th>\n <td>27</td>\n <td>1</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": "col_0 0 1\nTaxable.Income \n0 89 3\n1 27 1" | |
| }, | |
| "execution_count": 457, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "6c1761e5", | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python" | |
| }, | |
| "language_info": { | |
| "name": "python", | |
| "version": "3.9.13", | |
| "mimetype": "text/x-python", | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "pygments_lexer": "ipython3", | |
| "nbconvert_exporter": "python", | |
| "file_extension": ".py" | |
| }, | |
| "gist": { | |
| "id": "", | |
| "data": { | |
| "description": "!excelR/assignments/Gists/Decision_Tree_Fraud_check.ipynb", | |
| "public": true | |
| } | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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