model_creation_and_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "dba621eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76803c2e",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "215120e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/all_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "6f6be1c7",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>bracket</th>\n",
       "      <th>round</th>\n",
       "      <th>location</th>\n",
       "      <th>team_one_rank</th>\n",
       "      <th>team_one</th>\n",
       "      <th>team_one_score</th>\n",
       "      <th>team_two_rank</th>\n",
       "      <th>team_two</th>\n",
       "      <th>team_two_score</th>\n",
       "      <th>...</th>\n",
       "      <th>conference_losses_two</th>\n",
       "      <th>conference_win_loss_percentage_two</th>\n",
       "      <th>own_points_per_game_two</th>\n",
       "      <th>opp_points_per_game_two</th>\n",
       "      <th>strength_of_schedule_two</th>\n",
       "      <th>simple_rating_system_two</th>\n",
       "      <th>ap_pre_two</th>\n",
       "      <th>ap_high_two</th>\n",
       "      <th>ap_final_two</th>\n",
       "      <th>conference_tournament_champion_two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1985</td>\n",
       "      <td>East</td>\n",
       "      <td>First Round</td>\n",
       "      <td>Hartford, CT</td>\n",
       "      <td>1</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>68</td>\n",
       "      <td>16</td>\n",
       "      <td>Lehigh</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.429</td>\n",
       "      <td>65.0</td>\n",
       "      <td>70.1</td>\n",
       "      <td>-12.02</td>\n",
       "      <td>-6.89</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1985</td>\n",
       "      <td>East</td>\n",
       "      <td>Second Round</td>\n",
       "      <td>Hartford, CT</td>\n",
       "      <td>1</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>63</td>\n",
       "      <td>8</td>\n",
       "      <td>Temple</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>64.8</td>\n",
       "      <td>57.8</td>\n",
       "      <td>7.67</td>\n",
       "      <td>0.67</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1985</td>\n",
       "      <td>East</td>\n",
       "      <td>Sweet Sixteen</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>1</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>65</td>\n",
       "      <td>4</td>\n",
       "      <td>Loyola (IL)</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.929</td>\n",
       "      <td>83.5</td>\n",
       "      <td>77.3</td>\n",
       "      <td>10.29</td>\n",
       "      <td>4.07</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1985</td>\n",
       "      <td>East</td>\n",
       "      <td>Elite Eight</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>1</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>60</td>\n",
       "      <td>2</td>\n",
       "      <td>Georgia Tech</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.643</td>\n",
       "      <td>69.9</td>\n",
       "      <td>60.9</td>\n",
       "      <td>16.45</td>\n",
       "      <td>7.42</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1985</td>\n",
       "      <td>East</td>\n",
       "      <td>Sweet Sixteen</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>3</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>Georgia Tech</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.643</td>\n",
       "      <td>69.9</td>\n",
       "      <td>60.9</td>\n",
       "      <td>16.45</td>\n",
       "      <td>7.42</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1859</th>\n",
       "      <td>2023</td>\n",
       "      <td>West</td>\n",
       "      <td>First Round</td>\n",
       "      <td>14\\nGrand Canyon\\n70</td>\n",
       "      <td>3</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>82</td>\n",
       "      <td>14</td>\n",
       "      <td>Grand Canyon</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.588</td>\n",
       "      <td>72.2</td>\n",
       "      <td>69.1</td>\n",
       "      <td>4.43</td>\n",
       "      <td>1.27</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1860</th>\n",
       "      <td>2023</td>\n",
       "      <td>West</td>\n",
       "      <td>Sweet Sixteen</td>\n",
       "      <td>Las Vegas, NV</td>\n",
       "      <td>3</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>79</td>\n",
       "      <td>2</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.900</td>\n",
       "      <td>74.1</td>\n",
       "      <td>60.7</td>\n",
       "      <td>22.11</td>\n",
       "      <td>8.66</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1861</th>\n",
       "      <td>2023</td>\n",
       "      <td>West</td>\n",
       "      <td>Second Round</td>\n",
       "      <td>Sacramento, CA</td>\n",
       "      <td>7</td>\n",
       "      <td>Northwestern</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.900</td>\n",
       "      <td>74.1</td>\n",
       "      <td>60.7</td>\n",
       "      <td>22.11</td>\n",
       "      <td>8.66</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>False</td>\n",
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       "      <th>1862</th>\n",
       "      <td>2023</td>\n",
       "      <td>West</td>\n",
       "      <td>First Round</td>\n",
       "      <td>Sacramento, CA</td>\n",
       "      <td>7</td>\n",
       "      <td>Northwestern</td>\n",
       "      <td>75</td>\n",
       "      <td>10</td>\n",
       "      <td>Boise State</td>\n",
       "      <td>67</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.722</td>\n",
       "      <td>71.5</td>\n",
       "      <td>65.0</td>\n",
       "      <td>12.78</td>\n",
       "      <td>6.21</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>1863</th>\n",
       "      <td>2023</td>\n",
       "      <td>West</td>\n",
       "      <td>First Round</td>\n",
       "      <td>Sacramento, CA</td>\n",
       "      <td>2</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>86</td>\n",
       "      <td>15</td>\n",
       "      <td>UNC Asheville</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>72.4</td>\n",
       "      <td>69.8</td>\n",
       "      <td>-1.74</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>True</td>\n",
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       "  </tbody>\n",
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       "<p>1864 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year bracket          round              location  team_one_rank  \\\n",
       "0     1985    East    First Round          Hartford, CT              1   \n",
       "1     1985    East   Second Round          Hartford, CT              1   \n",
       "2     1985    East  Sweet Sixteen        Providence, RI              1   \n",
       "3     1985    East    Elite Eight        Providence, RI              1   \n",
       "4     1985    East  Sweet Sixteen        Providence, RI              3   \n",
       "...    ...     ...            ...                   ...            ...   \n",
       "1859  2023    West    First Round  14\\nGrand Canyon\\n70              3   \n",
       "1860  2023    West  Sweet Sixteen         Las Vegas, NV              3   \n",
       "1861  2023    West   Second Round        Sacramento, CA              7   \n",
       "1862  2023    West    First Round        Sacramento, CA              7   \n",
       "1863  2023    West    First Round        Sacramento, CA              2   \n",
       "\n",
       "          team_one  team_one_score  team_two_rank       team_two  \\\n",
       "0       Georgetown              68             16         Lehigh   \n",
       "1       Georgetown              63              8         Temple   \n",
       "2       Georgetown              65              4    Loyola (IL)   \n",
       "3       Georgetown              60              2   Georgia Tech   \n",
       "4         Illinois              53              2   Georgia Tech   \n",
       "...            ...             ...            ...            ...   \n",
       "1859       Gonzaga              82             14   Grand Canyon   \n",
       "1860       Gonzaga              79              2           UCLA   \n",
       "1861  Northwestern              63              2           UCLA   \n",
       "1862  Northwestern              75             10    Boise State   \n",
       "1863          UCLA              86             15  UNC Asheville   \n",
       "\n",
       "      team_two_score  ...  conference_losses_two  \\\n",
       "0                 43  ...                    8.0   \n",
       "1                 46  ...                    3.0   \n",
       "2                 53  ...                    1.0   \n",
       "3                 54  ...                    5.0   \n",
       "4                 61  ...                    5.0   \n",
       "...              ...  ...                    ...   \n",
       "1859              70  ...                    7.0   \n",
       "1860              76  ...                    2.0   \n",
       "1861              68  ...                    2.0   \n",
       "1862              67  ...                    5.0   \n",
       "1863              53  ...                    2.0   \n",
       "\n",
       "     conference_win_loss_percentage_two  own_points_per_game_two  \\\n",
       "0                                 0.429                     65.0   \n",
       "1                                 0.833                     64.8   \n",
       "2                                 0.929                     83.5   \n",
       "3                                 0.643                     69.9   \n",
       "4                                 0.643                     69.9   \n",
       "...                                 ...                      ...   \n",
       "1859                              0.588                     72.2   \n",
       "1860                              0.900                     74.1   \n",
       "1861                              0.900                     74.1   \n",
       "1862                              0.722                     71.5   \n",
       "1863                              0.889                     72.4   \n",
       "\n",
       "      opp_points_per_game_two  strength_of_schedule_two  \\\n",
       "0                        70.1                    -12.02   \n",
       "1                        57.8                      7.67   \n",
       "2                        77.3                     10.29   \n",
       "3                        60.9                     16.45   \n",
       "4                        60.9                     16.45   \n",
       "...                       ...                       ...   \n",
       "1859                     69.1                      4.43   \n",
       "1860                     60.7                     22.11   \n",
       "1861                     60.7                     22.11   \n",
       "1862                     65.0                     12.78   \n",
       "1863                     69.8                     -1.74   \n",
       "\n",
       "      simple_rating_system_two  ap_pre_two  ap_high_two  ap_final_two  \\\n",
       "0                        -6.89        26.0         26.0          26.0   \n",
       "1                         0.67        26.0         26.0          26.0   \n",
       "2                         4.07        26.0         14.0          14.0   \n",
       "3                         7.42        20.0          6.0           6.0   \n",
       "4                         7.42        20.0          6.0           6.0   \n",
       "...                        ...         ...          ...           ...   \n",
       "1859                      1.27        26.0         26.0          26.0   \n",
       "1860                      8.66         8.0          2.0           7.0   \n",
       "1861                      8.66         8.0          2.0           7.0   \n",
       "1862                      6.21        26.0         26.0          26.0   \n",
       "1863                     -4.35        26.0         26.0          26.0   \n",
       "\n",
       "      conference_tournament_champion_two  \n",
       "0                                   True  \n",
       "1                                   True  \n",
       "2                                   True  \n",
       "3                                   True  \n",
       "4                                   True  \n",
       "...                                  ...  \n",
       "1859                                True  \n",
       "1860                               False  \n",
       "1861                               False  \n",
       "1862                               False  \n",
       "1863                                True  \n",
       "\n",
       "[1864 rows x 43 columns]"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "a67d49fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>bracket</th>\n",
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       "      <th>conference_win_loss_percentage_two</th>\n",
       "      <th>own_points_per_game_two</th>\n",
       "      <th>opp_points_per_game_two</th>\n",
       "      <th>strength_of_schedule_two</th>\n",
       "      <th>simple_rating_system_two</th>\n",
       "      <th>ap_pre_two</th>\n",
       "      <th>ap_high_two</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1985</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Lexington, KY</td>\n",
       "      <td>8</td>\n",
       "      <td>Villanova</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>Memphis</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.929</td>\n",
       "      <td>72.9</td>\n",
       "      <td>63.7</td>\n",
       "      <td>14.93</td>\n",
       "      <td>5.73</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1985</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Lexington, KY</td>\n",
       "      <td>1</td>\n",
       "      <td>St. John's (NY)</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>74.0</td>\n",
       "      <td>58.9</td>\n",
       "      <td>20.89</td>\n",
       "      <td>5.77</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1986</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Dallas, TX</td>\n",
       "      <td>1</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>71</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.857</td>\n",
       "      <td>79.8</td>\n",
       "      <td>67.2</td>\n",
       "      <td>22.10</td>\n",
       "      <td>9.50</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1987</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>6</td>\n",
       "      <td>Providence</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>82.1</td>\n",
       "      <td>72.4</td>\n",
       "      <td>17.98</td>\n",
       "      <td>8.23</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>1988</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Kansas City, MO</td>\n",
       "      <td>6</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>66</td>\n",
       "      <td>2</td>\n",
       "      <td>Duke</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.643</td>\n",
       "      <td>83.8</td>\n",
       "      <td>68.8</td>\n",
       "      <td>23.33</td>\n",
       "      <td>8.38</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>1988</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Kansas City, MO</td>\n",
       "      <td>1</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>86</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.857</td>\n",
       "      <td>102.9</td>\n",
       "      <td>81.0</td>\n",
       "      <td>29.48</td>\n",
       "      <td>7.61</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>1989</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Setle, WA</td>\n",
       "      <td>2</td>\n",
       "      <td>Duke</td>\n",
       "      <td>78</td>\n",
       "      <td>3</td>\n",
       "      <td>Seton Hall</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.688</td>\n",
       "      <td>81.1</td>\n",
       "      <td>69.3</td>\n",
       "      <td>20.91</td>\n",
       "      <td>9.16</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1989</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Setle, WA</td>\n",
       "      <td>3</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.778</td>\n",
       "      <td>86.4</td>\n",
       "      <td>74.1</td>\n",
       "      <td>24.68</td>\n",
       "      <td>12.42</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>1990</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Denver, CO</td>\n",
       "      <td>4</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>83</td>\n",
       "      <td>3</td>\n",
       "      <td>Duke</td>\n",
       "      <td>97</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.643</td>\n",
       "      <td>89.1</td>\n",
       "      <td>76.6</td>\n",
       "      <td>21.34</td>\n",
       "      <td>8.81</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>1992</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>81</td>\n",
       "      <td>2</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.778</td>\n",
       "      <td>83.4</td>\n",
       "      <td>65.8</td>\n",
       "      <td>30.05</td>\n",
       "      <td>12.43</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>1992</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>4</td>\n",
       "      <td>Cincinnati</td>\n",
       "      <td>72</td>\n",
       "      <td>6</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.611</td>\n",
       "      <td>77.9</td>\n",
       "      <td>71.4</td>\n",
       "      <td>18.79</td>\n",
       "      <td>12.29</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>1993</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>1</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>81.9</td>\n",
       "      <td>71.8</td>\n",
       "      <td>22.01</td>\n",
       "      <td>11.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1994</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Charlotte, NC</td>\n",
       "      <td>3</td>\n",
       "      <td>Florida</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>Duke</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>77.6</td>\n",
       "      <td>67.3</td>\n",
       "      <td>19.29</td>\n",
       "      <td>9.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>1994</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Charlotte, NC</td>\n",
       "      <td>1</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>91</td>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.778</td>\n",
       "      <td>89.3</td>\n",
       "      <td>74.4</td>\n",
       "      <td>23.76</td>\n",
       "      <td>8.90</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>1995</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Setle, WA</td>\n",
       "      <td>1</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>74</td>\n",
       "      <td>4</td>\n",
       "      <td>Oklahoma State</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.714</td>\n",
       "      <td>75.9</td>\n",
       "      <td>64.4</td>\n",
       "      <td>21.72</td>\n",
       "      <td>10.26</td>\n",
       "      <td>21.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>1996</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>East Rutherford, NJ</td>\n",
       "      <td>5</td>\n",
       "      <td>Mississippi State</td>\n",
       "      <td>69</td>\n",
       "      <td>4</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>76.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>18.99</td>\n",
       "      <td>11.35</td>\n",
       "      <td>26.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>1997</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>69</td>\n",
       "      <td>1</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.813</td>\n",
       "      <td>82.6</td>\n",
       "      <td>62.6</td>\n",
       "      <td>29.29</td>\n",
       "      <td>9.26</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>1998</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>2</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>86</td>\n",
       "      <td>3</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>79.7</td>\n",
       "      <td>68.9</td>\n",
       "      <td>18.95</td>\n",
       "      <td>8.12</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>1999</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>St. Petersburg, FL</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>91.8</td>\n",
       "      <td>67.2</td>\n",
       "      <td>34.79</td>\n",
       "      <td>10.12</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>2000</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>53</td>\n",
       "      <td>8</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>59.9</td>\n",
       "      <td>55.8</td>\n",
       "      <td>16.67</td>\n",
       "      <td>12.50</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>2001</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>95</td>\n",
       "      <td>3</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.625</td>\n",
       "      <td>85.2</td>\n",
       "      <td>72.4</td>\n",
       "      <td>23.83</td>\n",
       "      <td>11.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>2001</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>61</td>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>80.8</td>\n",
       "      <td>66.5</td>\n",
       "      <td>26.85</td>\n",
       "      <td>12.56</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>2002</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>1</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>97</td>\n",
       "      <td>1</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>90.1</td>\n",
       "      <td>75.0</td>\n",
       "      <td>24.38</td>\n",
       "      <td>9.36</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>2002</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>2</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>64</td>\n",
       "      <td>5</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>73</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.688</td>\n",
       "      <td>69.6</td>\n",
       "      <td>62.5</td>\n",
       "      <td>19.19</td>\n",
       "      <td>12.08</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>2003</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>3</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>Texas</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.813</td>\n",
       "      <td>79.3</td>\n",
       "      <td>69.7</td>\n",
       "      <td>18.91</td>\n",
       "      <td>9.28</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>2003</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>3</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>61</td>\n",
       "      <td>2</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>94</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>81.4</td>\n",
       "      <td>66.9</td>\n",
       "      <td>25.00</td>\n",
       "      <td>10.53</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>2004</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>2</td>\n",
       "      <td>Oklahoma State</td>\n",
       "      <td>65</td>\n",
       "      <td>3</td>\n",
       "      <td>Georgia Tech</td>\n",
       "      <td>67</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.563</td>\n",
       "      <td>76.6</td>\n",
       "      <td>67.2</td>\n",
       "      <td>20.66</td>\n",
       "      <td>11.21</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>2005</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>St. Louis, MO</td>\n",
       "      <td>4</td>\n",
       "      <td>Louisville</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.938</td>\n",
       "      <td>76.2</td>\n",
       "      <td>60.6</td>\n",
       "      <td>24.11</td>\n",
       "      <td>8.48</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>2006</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>3</td>\n",
       "      <td>Florida</td>\n",
       "      <td>73</td>\n",
       "      <td>11</td>\n",
       "      <td>George Mason</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>69.4</td>\n",
       "      <td>60.1</td>\n",
       "      <td>12.11</td>\n",
       "      <td>2.77</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1074</th>\n",
       "      <td>2007</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>2</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>Ohio State</td>\n",
       "      <td>67</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.938</td>\n",
       "      <td>74.5</td>\n",
       "      <td>62.0</td>\n",
       "      <td>21.54</td>\n",
       "      <td>9.03</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>2007</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>1</td>\n",
       "      <td>Florida</td>\n",
       "      <td>76</td>\n",
       "      <td>2</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>70.9</td>\n",
       "      <td>59.8</td>\n",
       "      <td>20.90</td>\n",
       "      <td>9.84</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129</th>\n",
       "      <td>2008</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>1</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>Memphis</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>79.9</td>\n",
       "      <td>61.9</td>\n",
       "      <td>23.73</td>\n",
       "      <td>5.76</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>2010</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>78</td>\n",
       "      <td>2</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>57</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.722</td>\n",
       "      <td>72.4</td>\n",
       "      <td>63.5</td>\n",
       "      <td>19.16</td>\n",
       "      <td>10.26</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>2010</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>5</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>Butler</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>68.7</td>\n",
       "      <td>59.4</td>\n",
       "      <td>14.37</td>\n",
       "      <td>5.08</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>2012</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>2</td>\n",
       "      <td>Ohio State</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>73.5</td>\n",
       "      <td>61.7</td>\n",
       "      <td>21.72</td>\n",
       "      <td>9.93</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1326</th>\n",
       "      <td>2012</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>1</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>69</td>\n",
       "      <td>4</td>\n",
       "      <td>Louisville</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.556</td>\n",
       "      <td>68.2</td>\n",
       "      <td>61.0</td>\n",
       "      <td>16.19</td>\n",
       "      <td>9.02</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1354</th>\n",
       "      <td>2013</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>4</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>56</td>\n",
       "      <td>4</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>74.5</td>\n",
       "      <td>63.3</td>\n",
       "      <td>21.29</td>\n",
       "      <td>10.05</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>2013</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>1</td>\n",
       "      <td>Louisville</td>\n",
       "      <td>72</td>\n",
       "      <td>9</td>\n",
       "      <td>Wichita State</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>69.7</td>\n",
       "      <td>61.2</td>\n",
       "      <td>14.68</td>\n",
       "      <td>6.09</td>\n",
       "      <td>26.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1411</th>\n",
       "      <td>2014</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Arlington, TX</td>\n",
       "      <td>2</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>73</td>\n",
       "      <td>8</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>74.8</td>\n",
       "      <td>66.6</td>\n",
       "      <td>18.07</td>\n",
       "      <td>9.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>2015</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Duke</td>\n",
       "      <td>81</td>\n",
       "      <td>7</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>71.1</td>\n",
       "      <td>63.6</td>\n",
       "      <td>17.46</td>\n",
       "      <td>10.00</td>\n",
       "      <td>18.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>2015</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>71</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.889</td>\n",
       "      <td>72.5</td>\n",
       "      <td>58.2</td>\n",
       "      <td>24.61</td>\n",
       "      <td>10.29</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1541</th>\n",
       "      <td>2016</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>2\\nOklahoma\\n51</td>\n",
       "      <td>2</td>\n",
       "      <td>Villanova</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>51</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>79.7</td>\n",
       "      <td>71.1</td>\n",
       "      <td>19.76</td>\n",
       "      <td>11.14</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>2017</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Glendale, AZ</td>\n",
       "      <td>7</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.944</td>\n",
       "      <td>82.6</td>\n",
       "      <td>61.5</td>\n",
       "      <td>25.26</td>\n",
       "      <td>4.13</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1611</th>\n",
       "      <td>2018</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>1</td>\n",
       "      <td>Villanova</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.722</td>\n",
       "      <td>81.4</td>\n",
       "      <td>71.9</td>\n",
       "      <td>21.39</td>\n",
       "      <td>11.88</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>2018</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>San Antonio, TX</td>\n",
       "      <td>11</td>\n",
       "      <td>Loyola (IL)</td>\n",
       "      <td>57</td>\n",
       "      <td>3</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.722</td>\n",
       "      <td>72.9</td>\n",
       "      <td>63.3</td>\n",
       "      <td>19.03</td>\n",
       "      <td>9.41</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1668</th>\n",
       "      <td>2019</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>3</td>\n",
       "      <td>Texas Tech</td>\n",
       "      <td>61</td>\n",
       "      <td>2</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>51</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.800</td>\n",
       "      <td>77.6</td>\n",
       "      <td>65.0</td>\n",
       "      <td>24.93</td>\n",
       "      <td>12.34</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>2019</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>1</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>63</td>\n",
       "      <td>5</td>\n",
       "      <td>Auburn</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.611</td>\n",
       "      <td>79.1</td>\n",
       "      <td>69.2</td>\n",
       "      <td>20.84</td>\n",
       "      <td>10.92</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1717</th>\n",
       "      <td>2021</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>93</td>\n",
       "      <td>11</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.684</td>\n",
       "      <td>73.4</td>\n",
       "      <td>68.4</td>\n",
       "      <td>16.30</td>\n",
       "      <td>11.34</td>\n",
       "      <td>22.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1739</th>\n",
       "      <td>2021</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>1</td>\n",
       "      <td>Baylor</td>\n",
       "      <td>78</td>\n",
       "      <td>2</td>\n",
       "      <td>Houston</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.824</td>\n",
       "      <td>74.9</td>\n",
       "      <td>58.6</td>\n",
       "      <td>21.66</td>\n",
       "      <td>5.37</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1798</th>\n",
       "      <td>2022</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>New Orleans, LA</td>\n",
       "      <td>2</td>\n",
       "      <td>Villanova</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.778</td>\n",
       "      <td>78.2</td>\n",
       "      <td>67.3</td>\n",
       "      <td>22.28</td>\n",
       "      <td>11.30</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1826</th>\n",
       "      <td>2023</td>\n",
       "      <td>National</td>\n",
       "      <td>Final Four</td>\n",
       "      <td>Houston, TX</td>\n",
       "      <td>9</td>\n",
       "      <td>Florida Atlantic</td>\n",
       "      <td>71</td>\n",
       "      <td>5</td>\n",
       "      <td>San Diego State</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>70.5</td>\n",
       "      <td>63.6</td>\n",
       "      <td>15.81</td>\n",
       "      <td>8.92</td>\n",
       "      <td>19.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>51 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year   bracket       round             location  team_one_rank  \\\n",
       "18    1985  National  Final Four        Lexington, KY              8   \n",
       "28    1985  National  Final Four        Lexington, KY              1   \n",
       "60    1986  National  Final Four           Dallas, TX              1   \n",
       "98    1987  National  Final Four      New Orleans, LA              6   \n",
       "140   1988  National  Final Four      Kansas City, MO              6   \n",
       "156   1988  National  Final Four      Kansas City, MO              1   \n",
       "192   1989  National  Final Four            Setle, WA              2   \n",
       "219   1989  National  Final Four            Setle, WA              3   \n",
       "232   1990  National  Final Four           Denver, CO              4   \n",
       "318   1992  National  Final Four      Minneapolis, MN              1   \n",
       "322   1992  National  Final Four      Minneapolis, MN              4   \n",
       "386   1993  National  Final Four      New Orleans, LA              1   \n",
       "416   1994  National  Final Four        Charlotte, NC              3   \n",
       "431   1994  National  Final Four        Charlotte, NC              1   \n",
       "469   1995  National  Final Four            Setle, WA              1   \n",
       "530   1996  National  Final Four  East Rutherford, NJ              5   \n",
       "580   1997  National  Final Four     Indianapolis, IN              1   \n",
       "627   1998  National  Final Four      San Antonio, TX              2   \n",
       "686   1999  National  Final Four   St. Petersburg, FL              1   \n",
       "740   2000  National  Final Four     Indianapolis, IN              1   \n",
       "773   2001  National  Final Four      Minneapolis, MN              1   \n",
       "779   2001  National  Final Four      Minneapolis, MN              1   \n",
       "823   2002  National  Final Four          Atlanta, GA              1   \n",
       "826   2002  National  Final Four          Atlanta, GA              2   \n",
       "880   2003  National  Final Four      New Orleans, LA              3   \n",
       "882   2003  National  Final Four      New Orleans, LA              3   \n",
       "940   2004  National  Final Four      San Antonio, TX              2   \n",
       "974   2005  National  Final Four        St. Louis, MO              4   \n",
       "1038  2006  National  Final Four     Indianapolis, IN              3   \n",
       "1074  2007  National  Final Four          Atlanta, GA              2   \n",
       "1082  2007  National  Final Four          Atlanta, GA              1   \n",
       "1129  2008  National  Final Four      San Antonio, TX              1   \n",
       "1210  2010  National  Final Four     Indianapolis, IN              1   \n",
       "1223  2010  National  Final Four     Indianapolis, IN              5   \n",
       "1309  2012  National  Final Four      New Orleans, LA              2   \n",
       "1326  2012  National  Final Four      New Orleans, LA              1   \n",
       "1354  2013  National  Final Four          Atlanta, GA              4   \n",
       "1370  2013  National  Final Four          Atlanta, GA              1   \n",
       "1411  2014  National  Final Four        Arlington, TX              2   \n",
       "1457  2015  National  Final Four     Indianapolis, IN              1   \n",
       "1469  2015  National  Final Four     Indianapolis, IN              1   \n",
       "1541  2016  National  Final Four      2\\nOklahoma\\n51              2   \n",
       "1565  2017  National  Final Four         Glendale, AZ              7   \n",
       "1611  2018  National  Final Four      San Antonio, TX              1   \n",
       "1613  2018  National  Final Four      San Antonio, TX             11   \n",
       "1668  2019  National  Final Four      Minneapolis, MN              3   \n",
       "1692  2019  National  Final Four      Minneapolis, MN              1   \n",
       "1717  2021  National  Final Four     Indianapolis, IN              1   \n",
       "1739  2021  National  Final Four     Indianapolis, IN              1   \n",
       "1798  2022  National  Final Four      New Orleans, LA              2   \n",
       "1826  2023  National  Final Four          Houston, TX              9   \n",
       "\n",
       "               team_one  team_one_score  team_two_rank         team_two  \\\n",
       "18            Villanova              52              2          Memphis   \n",
       "28      St. John's (NY)              59              1       Georgetown   \n",
       "60               Kansas              67              1             Duke   \n",
       "98           Providence              63              2         Syracuse   \n",
       "140              Kansas              66              2             Duke   \n",
       "156             Arizona              78              1         Oklahoma   \n",
       "192                Duke              78              3       Seton Hall   \n",
       "219            Michigan              83              1         Illinois   \n",
       "232            Arkansas              83              3             Duke   \n",
       "318                Duke              81              2          Indiana   \n",
       "322          Cincinnati              72              6         Michigan   \n",
       "386            Kentucky              78              1         Michigan   \n",
       "416             Florida              65              2             Duke   \n",
       "431            Arkansas              91              2          Arizona   \n",
       "469                UCLA              74              4   Oklahoma State   \n",
       "530   Mississippi State              69              4         Syracuse   \n",
       "580           Minnesota              69              1         Kentucky   \n",
       "627            Kentucky              86              3         Stanford   \n",
       "686      Michigan State              62              1             Duke   \n",
       "740      Michigan State              53              8        Wisconsin   \n",
       "773                Duke              95              3         Maryland   \n",
       "779      Michigan State              61              2          Arizona   \n",
       "823            Maryland              97              1           Kansas   \n",
       "826            Oklahoma              64              5          Indiana   \n",
       "880            Syracuse              95              1            Texas   \n",
       "882           Marquette              61              2           Kansas   \n",
       "940      Oklahoma State              65              3     Georgia Tech   \n",
       "974          Louisville              57              1         Illinois   \n",
       "1038            Florida              73             11     George Mason   \n",
       "1074         Georgetown              60              1       Ohio State   \n",
       "1082            Florida              76              2             UCLA   \n",
       "1129               UCLA              63              1          Memphis   \n",
       "1210               Duke              78              2    West Virginia   \n",
       "1223     Michigan State              50              5           Butler   \n",
       "1309         Ohio State              62              2           Kansas   \n",
       "1326           Kentucky              69              4       Louisville   \n",
       "1354           Syracuse              56              4         Michigan   \n",
       "1370         Louisville              72              9    Wichita State   \n",
       "1411          Wisconsin              73              8         Kentucky   \n",
       "1457               Duke              81              7   Michigan State   \n",
       "1469           Kentucky              64              1        Wisconsin   \n",
       "1541          Villanova              95              2         Oklahoma   \n",
       "1565     South Carolina              73              1          Gonzaga   \n",
       "1611          Villanova              95              1           Kansas   \n",
       "1613        Loyola (IL)              57              3         Michigan   \n",
       "1668         Texas Tech              61              2   Michigan State   \n",
       "1692           Virginia              63              5           Auburn   \n",
       "1717            Gonzaga              93             11             UCLA   \n",
       "1739             Baylor              78              2          Houston   \n",
       "1798          Villanova              65              1           Kansas   \n",
       "1826   Florida Atlantic              71              5  San Diego State   \n",
       "\n",
       "      team_two_score  ...  conference_losses_two  \\\n",
       "18                45  ...                    1.0   \n",
       "28                77  ...                    2.0   \n",
       "60                71  ...                    2.0   \n",
       "98                77  ...                    4.0   \n",
       "140               59  ...                    5.0   \n",
       "156               86  ...                    2.0   \n",
       "192               95  ...                    5.0   \n",
       "219               81  ...                    4.0   \n",
       "232               97  ...                    5.0   \n",
       "318               78  ...                    4.0   \n",
       "322               76  ...                    7.0   \n",
       "386               81  ...                    3.0   \n",
       "416               70  ...                    4.0   \n",
       "431               82  ...                    4.0   \n",
       "469               61  ...                    4.0   \n",
       "530               77  ...                    6.0   \n",
       "580               78  ...                    3.0   \n",
       "627               85  ...                    3.0   \n",
       "686               68  ...                    0.0   \n",
       "740               41  ...                    8.0   \n",
       "773               84  ...                    6.0   \n",
       "779               80  ...                    3.0   \n",
       "823               88  ...                    0.0   \n",
       "826               73  ...                    5.0   \n",
       "880               84  ...                    3.0   \n",
       "882               94  ...                    2.0   \n",
       "940               67  ...                    7.0   \n",
       "974               72  ...                    1.0   \n",
       "1038              58  ...                    3.0   \n",
       "1074              67  ...                    1.0   \n",
       "1082              66  ...                    3.0   \n",
       "1129              78  ...                    0.0   \n",
       "1210              57  ...                    5.0   \n",
       "1223              52  ...                    0.0   \n",
       "1309              64  ...                    2.0   \n",
       "1326              61  ...                    8.0   \n",
       "1354              61  ...                    6.0   \n",
       "1370              68  ...                    6.0   \n",
       "1411              74  ...                    6.0   \n",
       "1457              61  ...                    6.0   \n",
       "1469              71  ...                    2.0   \n",
       "1541              51  ...                    6.0   \n",
       "1565              77  ...                    1.0   \n",
       "1611              79  ...                    5.0   \n",
       "1613              69  ...                    5.0   \n",
       "1668              51  ...                    4.0   \n",
       "1692              62  ...                    7.0   \n",
       "1717              90  ...                    6.0   \n",
       "1739              59  ...                    3.0   \n",
       "1798              81  ...                    4.0   \n",
       "1826              72  ...                    3.0   \n",
       "\n",
       "     conference_win_loss_percentage_two  own_points_per_game_two  \\\n",
       "18                                0.929                     72.9   \n",
       "28                                0.875                     74.0   \n",
       "60                                0.857                     79.8   \n",
       "98                                0.750                     82.1   \n",
       "140                               0.643                     83.8   \n",
       "156                               0.857                    102.9   \n",
       "192                               0.688                     81.1   \n",
       "219                               0.778                     86.4   \n",
       "232                               0.643                     89.1   \n",
       "318                               0.778                     83.4   \n",
       "322                               0.611                     77.9   \n",
       "386                               0.833                     81.9   \n",
       "416                               0.750                     77.6   \n",
       "431                               0.778                     89.3   \n",
       "469                               0.714                     75.9   \n",
       "530                               0.667                     76.2   \n",
       "580                               0.813                     82.6   \n",
       "627                               0.833                     79.7   \n",
       "686                               1.000                     91.8   \n",
       "740                               0.500                     59.9   \n",
       "773                               0.625                     85.2   \n",
       "779                               0.833                     80.8   \n",
       "823                               1.000                     90.1   \n",
       "826                               0.688                     69.6   \n",
       "880                               0.813                     79.3   \n",
       "882                               0.875                     81.4   \n",
       "940                               0.563                     76.6   \n",
       "974                               0.938                     76.2   \n",
       "1038                              0.833                     69.4   \n",
       "1074                              0.938                     74.5   \n",
       "1082                              0.833                     70.9   \n",
       "1129                              1.000                     79.9   \n",
       "1210                              0.722                     72.4   \n",
       "1223                              1.000                     68.7   \n",
       "1309                              0.889                     73.5   \n",
       "1326                              0.556                     68.2   \n",
       "1354                              0.667                     74.5   \n",
       "1370                              0.667                     69.7   \n",
       "1411                              0.667                     74.8   \n",
       "1457                              0.667                     71.1   \n",
       "1469                              0.889                     72.5   \n",
       "1541                              0.667                     79.7   \n",
       "1565                              0.944                     82.6   \n",
       "1611                              0.722                     81.4   \n",
       "1613                              0.722                     72.9   \n",
       "1668                              0.800                     77.6   \n",
       "1692                              0.611                     79.1   \n",
       "1717                              0.684                     73.4   \n",
       "1739                              0.824                     74.9   \n",
       "1798                              0.778                     78.2   \n",
       "1826                              0.833                     70.5   \n",
       "\n",
       "      opp_points_per_game_two  strength_of_schedule_two  \\\n",
       "18                       63.7                     14.93   \n",
       "28                       58.9                     20.89   \n",
       "60                       67.2                     22.10   \n",
       "98                       72.4                     17.98   \n",
       "140                      68.8                     23.33   \n",
       "156                      81.0                     29.48   \n",
       "192                      69.3                     20.91   \n",
       "219                      74.1                     24.68   \n",
       "232                      76.6                     21.34   \n",
       "318                      65.8                     30.05   \n",
       "322                      71.4                     18.79   \n",
       "386                      71.8                     22.01   \n",
       "416                      67.3                     19.29   \n",
       "431                      74.4                     23.76   \n",
       "469                      64.4                     21.72   \n",
       "530                      68.6                     18.99   \n",
       "580                      62.6                     29.29   \n",
       "627                      68.9                     18.95   \n",
       "686                      67.2                     34.79   \n",
       "740                      55.8                     16.67   \n",
       "773                      72.4                     23.83   \n",
       "779                      66.5                     26.85   \n",
       "823                      75.0                     24.38   \n",
       "826                      62.5                     19.19   \n",
       "880                      69.7                     18.91   \n",
       "882                      66.9                     25.00   \n",
       "940                      67.2                     20.66   \n",
       "974                      60.6                     24.11   \n",
       "1038                     60.1                     12.11   \n",
       "1074                     62.0                     21.54   \n",
       "1082                     59.8                     20.90   \n",
       "1129                     61.9                     23.73   \n",
       "1210                     63.5                     19.16   \n",
       "1223                     59.4                     14.37   \n",
       "1309                     61.7                     21.72   \n",
       "1326                     61.0                     16.19   \n",
       "1354                     63.3                     21.29   \n",
       "1370                     61.2                     14.68   \n",
       "1411                     66.6                     18.07   \n",
       "1457                     63.6                     17.46   \n",
       "1469                     58.2                     24.61   \n",
       "1541                     71.1                     19.76   \n",
       "1565                     61.5                     25.26   \n",
       "1611                     71.9                     21.39   \n",
       "1613                     63.3                     19.03   \n",
       "1668                     65.0                     24.93   \n",
       "1692                     69.2                     20.84   \n",
       "1717                     68.4                     16.30   \n",
       "1739                     58.6                     21.66   \n",
       "1798                     67.3                     22.28   \n",
       "1826                     63.6                     15.81   \n",
       "\n",
       "      simple_rating_system_two  ap_pre_two  ap_high_two  ap_final_two  \\\n",
       "18                        5.73         8.0          3.0           5.0   \n",
       "28                        5.77         1.0          1.0           1.0   \n",
       "60                        9.50         6.0          1.0           1.0   \n",
       "98                        8.23        15.0          5.0          10.0   \n",
       "140                       8.38        15.0          4.0           5.0   \n",
       "156                       7.61        19.0          3.0           4.0   \n",
       "192                       9.16        26.0          9.0          11.0   \n",
       "219                      12.42         9.0          1.0           3.0   \n",
       "232                       8.81        10.0          3.0          15.0   \n",
       "318                      12.43         2.0          2.0           5.0   \n",
       "322                      12.29        20.0         11.0          15.0   \n",
       "386                      11.90         1.0          1.0           3.0   \n",
       "416                       9.00         4.0          1.0           6.0   \n",
       "431                       8.90        18.0          6.0           9.0   \n",
       "469                      10.26        21.0         14.0          14.0   \n",
       "530                      11.35        26.0         11.0          15.0   \n",
       "580                       9.26         3.0          3.0           5.0   \n",
       "627                       8.12        14.0          4.0          10.0   \n",
       "686                      10.12         1.0          1.0           1.0   \n",
       "740                      12.50        26.0         26.0          26.0   \n",
       "773                      11.00         5.0          5.0          11.0   \n",
       "779                      12.56         1.0          1.0           5.0   \n",
       "823                       9.36         7.0          1.0           2.0   \n",
       "826                      12.08        22.0         20.0          26.0   \n",
       "880                       9.28         4.0          2.0           5.0   \n",
       "882                      10.53         2.0          2.0           6.0   \n",
       "940                      11.21        26.0          3.0          14.0   \n",
       "974                       8.48         5.0          1.0           1.0   \n",
       "1038                      2.77        26.0         26.0          26.0   \n",
       "1074                      9.03         7.0          1.0           1.0   \n",
       "1082                      9.84         6.0          1.0           7.0   \n",
       "1129                      5.76         3.0          1.0           2.0   \n",
       "1210                     10.26         8.0          5.0           6.0   \n",
       "1223                      5.08        11.0         11.0          11.0   \n",
       "1309                      9.93        13.0          3.0           6.0   \n",
       "1326                      9.02         9.0          4.0          17.0   \n",
       "1354                     10.05         5.0          1.0          10.0   \n",
       "1370                      6.09        26.0         15.0          26.0   \n",
       "1411                      9.90         1.0          1.0          26.0   \n",
       "1457                     10.00        18.0         18.0          23.0   \n",
       "1469                     10.29         3.0          2.0           3.0   \n",
       "1541                     11.14         8.0          1.0           7.0   \n",
       "1565                      4.13        14.0          1.0           2.0   \n",
       "1611                     11.88         4.0          2.0           4.0   \n",
       "1613                      9.41        26.0          7.0           7.0   \n",
       "1668                     12.34        10.0          5.0           5.0   \n",
       "1692                     10.92        11.0          7.0          14.0   \n",
       "1717                     11.34        22.0         21.0          26.0   \n",
       "1739                      5.37        17.0          5.0           6.0   \n",
       "1798                     11.30         3.0          3.0           3.0   \n",
       "1826                      8.92        19.0         17.0          18.0   \n",
       "\n",
       "      conference_tournament_champion_two  \n",
       "18                                  True  \n",
       "28                                  True  \n",
       "60                                  True  \n",
       "98                                 False  \n",
       "140                                 True  \n",
       "156                                 True  \n",
       "192                                False  \n",
       "219                                False  \n",
       "232                                False  \n",
       "318                                False  \n",
       "322                                False  \n",
       "386                                False  \n",
       "416                                False  \n",
       "431                                False  \n",
       "469                                 True  \n",
       "530                                False  \n",
       "580                                 True  \n",
       "627                                False  \n",
       "686                                 True  \n",
       "740                                False  \n",
       "773                                False  \n",
       "779                                False  \n",
       "823                                False  \n",
       "826                                False  \n",
       "880                                False  \n",
       "882                                False  \n",
       "940                                False  \n",
       "974                                 True  \n",
       "1038                               False  \n",
       "1074                                True  \n",
       "1082                               False  \n",
       "1129                                True  \n",
       "1210                                True  \n",
       "1223                                True  \n",
       "1309                               False  \n",
       "1326                                True  \n",
       "1354                               False  \n",
       "1370                               False  \n",
       "1411                               False  \n",
       "1457                               False  \n",
       "1469                                True  \n",
       "1541                               False  \n",
       "1565                                True  \n",
       "1611                                True  \n",
       "1613                                True  \n",
       "1668                                True  \n",
       "1692                                True  \n",
       "1717                               False  \n",
       "1739                                True  \n",
       "1798                                True  \n",
       "1826                                True  \n",
       "\n",
       "[51 rows x 43 columns]"
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['round'] == 'Final Four']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "90f3b187",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "team_one_wins                         bool\n",
       "conference_tournament_champion_one    bool\n",
       "conference_tournament_champion_two    bool\n",
       "dtype: object"
      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.get_dummies(df).dtypes[pd.get_dummies(df).dtypes == 'bool']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "124b230b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['team_one_wins'] = (df['team_one_wins'] == True).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "4b76a921",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['conference_tournament_champion_one'] = (df['conference_tournament_champion_one'] == True).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "id": "124ac1bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['conference_tournament_champion_two'] = (df['conference_tournament_champion_two'] == True).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "id": "28b8a1d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.get_dummies(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "id": "32feb31b",
   "metadata": {},
   "outputs": [],
   "source": [
    "additional_cols = [\"team_one_Saint Mary's (CA)\",\n",
    " 'team_two_Grambling',\n",
    " \"team_two_Saint Peter's\",\n",
    " 'team_one_Connecticut',\n",
    " 'team_two_Wagner',\n",
    " 'team_one_North Carolina',\n",
    " 'team_two_Duquesne',\n",
    " 'team_one_Brigham Young',\n",
    " 'team_two_Stetson',\n",
    "'team_one_McNeese State', 'team_one_Grand Canyon', 'team_two_Brigham Young', 'team_two_North Carolina']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "id": "29ec8166",
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in additional_cols:\n",
    "    data[c] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "id": "815dc6ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>team_one_rank</th>\n",
       "      <th>team_one_score</th>\n",
       "      <th>team_two_rank</th>\n",
       "      <th>team_two_score</th>\n",
       "      <th>team_one_wins</th>\n",
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       "      <th>overall_wins_one</th>\n",
       "      <th>overall_losses_one</th>\n",
       "      <th>overall_win_loss_percentage_one</th>\n",
       "      <th>...</th>\n",
       "      <th>team_one_Connecticut</th>\n",
       "      <th>team_two_Wagner</th>\n",
       "      <th>team_one_North Carolina</th>\n",
       "      <th>team_two_Duquesne</th>\n",
       "      <th>team_one_Brigham Young</th>\n",
       "      <th>team_two_Stetson</th>\n",
       "      <th>team_one_McNeese State</th>\n",
       "      <th>team_one_Grand Canyon</th>\n",
       "      <th>team_two_Brigham Young</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1985</td>\n",
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       "      <th>4</th>\n",
       "      <td>1985</td>\n",
       "      <td>3</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1859</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>82</td>\n",
       "      <td>14</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1860</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>79</td>\n",
       "      <td>2</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.838</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1861</th>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
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       "      <td>12.0</td>\n",
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       "    <tr>\n",
       "      <th>1862</th>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>75</td>\n",
       "      <td>10</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
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       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1863</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>86</td>\n",
       "      <td>15</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.838</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1864 rows × 741 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year  team_one_rank  team_one_score  team_two_rank  team_two_score  \\\n",
       "0     1985              1              68             16              43   \n",
       "1     1985              1              63              8              46   \n",
       "2     1985              1              65              4              53   \n",
       "3     1985              1              60              2              54   \n",
       "4     1985              3              53              2              61   \n",
       "...    ...            ...             ...            ...             ...   \n",
       "1859  2023              3              82             14              70   \n",
       "1860  2023              3              79              2              76   \n",
       "1861  2023              7              63              2              68   \n",
       "1862  2023              7              75             10              67   \n",
       "1863  2023              2              86             15              53   \n",
       "\n",
       "      team_one_wins  rank_one  overall_wins_one  overall_losses_one  \\\n",
       "0                 1       2.0              35.0                 3.0   \n",
       "1                 1       2.0              35.0                 3.0   \n",
       "2                 1       2.0              35.0                 3.0   \n",
       "3                 1       2.0              35.0                 3.0   \n",
       "4                 0       2.0              26.0                 9.0   \n",
       "...             ...       ...               ...                 ...   \n",
       "1859              1       1.0              31.0                 6.0   \n",
       "1860              1       1.0              31.0                 6.0   \n",
       "1861              0       3.0              22.0                12.0   \n",
       "1862              1       3.0              22.0                12.0   \n",
       "1863              1       1.0              31.0                 6.0   \n",
       "\n",
       "      overall_win_loss_percentage_one  ...  team_one_Connecticut  \\\n",
       "0                               0.921  ...                     0   \n",
       "1                               0.921  ...                     0   \n",
       "2                               0.921  ...                     0   \n",
       "3                               0.921  ...                     0   \n",
       "4                               0.743  ...                     0   \n",
       "...                               ...  ...                   ...   \n",
       "1859                            0.838  ...                     0   \n",
       "1860                            0.838  ...                     0   \n",
       "1861                            0.647  ...                     0   \n",
       "1862                            0.647  ...                     0   \n",
       "1863                            0.838  ...                     0   \n",
       "\n",
       "      team_two_Wagner  team_one_North Carolina  team_two_Duquesne  \\\n",
       "0                   0                        0                  0   \n",
       "1                   0                        0                  0   \n",
       "2                   0                        0                  0   \n",
       "3                   0                        0                  0   \n",
       "4                   0                        0                  0   \n",
       "...               ...                      ...                ...   \n",
       "1859                0                        0                  0   \n",
       "1860                0                        0                  0   \n",
       "1861                0                        0                  0   \n",
       "1862                0                        0                  0   \n",
       "1863                0                        0                  0   \n",
       "\n",
       "      team_one_Brigham Young  team_two_Stetson  team_one_McNeese State  \\\n",
       "0                          0                 0                       0   \n",
       "1                          0                 0                       0   \n",
       "2                          0                 0                       0   \n",
       "3                          0                 0                       0   \n",
       "4                          0                 0                       0   \n",
       "...                      ...               ...                     ...   \n",
       "1859                       0                 0                       0   \n",
       "1860                       0                 0                       0   \n",
       "1861                       0                 0                       0   \n",
       "1862                       0                 0                       0   \n",
       "1863                       0                 0                       0   \n",
       "\n",
       "      team_one_Grand Canyon  team_two_Brigham Young  team_two_North Carolina  \n",
       "0                         0                       0                        0  \n",
       "1                         0                       0                        0  \n",
       "2                         0                       0                        0  \n",
       "3                         0                       0                        0  \n",
       "4                         0                       0                        0  \n",
       "...                     ...                     ...                      ...  \n",
       "1859                      0                       0                        0  \n",
       "1860                      0                       0                        0  \n",
       "1861                      0                       0                        0  \n",
       "1862                      0                       0                        0  \n",
       "1863                      0                       0                        0  \n",
       "\n",
       "[1864 rows x 741 columns]"
      ]
     },
     "execution_count": 317,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "038dd84b",
   "metadata": {},
   "source": [
    "## Train-Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "id": "7fb41fcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "id": "3f6a8e0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(['year', 'team_one_score', 'team_two_score'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "175f3f96",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_one_rank</th>\n",
       "      <th>team_two_rank</th>\n",
       "      <th>rank_one</th>\n",
       "      <th>overall_wins_one</th>\n",
       "      <th>overall_losses_one</th>\n",
       "      <th>overall_win_loss_percentage_one</th>\n",
       "      <th>conference_wins_one</th>\n",
       "      <th>conference_losses_one</th>\n",
       "      <th>conference_win_loss_percentage_one</th>\n",
       "      <th>own_points_per_game_one</th>\n",
       "      <th>...</th>\n",
       "      <th>team_one_Connecticut</th>\n",
       "      <th>team_two_Wagner</th>\n",
       "      <th>team_one_North Carolina</th>\n",
       "      <th>team_two_Duquesne</th>\n",
       "      <th>team_one_Brigham Young</th>\n",
       "      <th>team_two_Stetson</th>\n",
       "      <th>team_one_McNeese State</th>\n",
       "      <th>team_one_Grand Canyon</th>\n",
       "      <th>team_two_Brigham Young</th>\n",
       "      <th>team_two_North Carolina</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.921</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>74.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.921</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>74.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.921</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>74.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.743</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>68.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1859</th>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.838</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>85.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1860</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.838</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.875</td>\n",
       "      <td>85.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1861</th>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.600</td>\n",
       "      <td>67.7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1862</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.600</td>\n",
       "      <td>67.7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1863</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.838</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.900</td>\n",
       "      <td>74.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1864 rows × 737 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      team_one_rank  team_two_rank  rank_one  overall_wins_one  \\\n",
       "0                 1             16       2.0              35.0   \n",
       "1                 1              8       2.0              35.0   \n",
       "2                 1              4       2.0              35.0   \n",
       "3                 1              2       2.0              35.0   \n",
       "4                 3              2       2.0              26.0   \n",
       "...             ...            ...       ...               ...   \n",
       "1859              3             14       1.0              31.0   \n",
       "1860              3              2       1.0              31.0   \n",
       "1861              7              2       3.0              22.0   \n",
       "1862              7             10       3.0              22.0   \n",
       "1863              2             15       1.0              31.0   \n",
       "\n",
       "      overall_losses_one  overall_win_loss_percentage_one  \\\n",
       "0                    3.0                            0.921   \n",
       "1                    3.0                            0.921   \n",
       "2                    3.0                            0.921   \n",
       "3                    3.0                            0.921   \n",
       "4                    9.0                            0.743   \n",
       "...                  ...                              ...   \n",
       "1859                 6.0                            0.838   \n",
       "1860                 6.0                            0.838   \n",
       "1861                12.0                            0.647   \n",
       "1862                12.0                            0.647   \n",
       "1863                 6.0                            0.838   \n",
       "\n",
       "      conference_wins_one  conference_losses_one  \\\n",
       "0                    14.0                    2.0   \n",
       "1                    14.0                    2.0   \n",
       "2                    14.0                    2.0   \n",
       "3                    14.0                    2.0   \n",
       "4                    12.0                    6.0   \n",
       "...                   ...                    ...   \n",
       "1859                 14.0                    2.0   \n",
       "1860                 14.0                    2.0   \n",
       "1861                 12.0                    8.0   \n",
       "1862                 12.0                    8.0   \n",
       "1863                 18.0                    2.0   \n",
       "\n",
       "      conference_win_loss_percentage_one  own_points_per_game_one  ...  \\\n",
       "0                                  0.875                     74.0  ...   \n",
       "1                                  0.875                     74.0  ...   \n",
       "2                                  0.875                     74.0  ...   \n",
       "3                                  0.875                     74.0  ...   \n",
       "4                                  0.667                     68.2  ...   \n",
       "...                                  ...                      ...  ...   \n",
       "1859                               0.875                     85.2  ...   \n",
       "1860                               0.875                     85.2  ...   \n",
       "1861                               0.600                     67.7  ...   \n",
       "1862                               0.600                     67.7  ...   \n",
       "1863                               0.900                     74.1  ...   \n",
       "\n",
       "      team_one_Connecticut  team_two_Wagner  team_one_North Carolina  \\\n",
       "0                        0                0                        0   \n",
       "1                        0                0                        0   \n",
       "2                        0                0                        0   \n",
       "3                        0                0                        0   \n",
       "4                        0                0                        0   \n",
       "...                    ...              ...                      ...   \n",
       "1859                     0                0                        0   \n",
       "1860                     0                0                        0   \n",
       "1861                     0                0                        0   \n",
       "1862                     0                0                        0   \n",
       "1863                     0                0                        0   \n",
       "\n",
       "      team_two_Duquesne  team_one_Brigham Young  team_two_Stetson  \\\n",
       "0                     0                       0                 0   \n",
       "1                     0                       0                 0   \n",
       "2                     0                       0                 0   \n",
       "3                     0                       0                 0   \n",
       "4                     0                       0                 0   \n",
       "...                 ...                     ...               ...   \n",
       "1859                  0                       0                 0   \n",
       "1860                  0                       0                 0   \n",
       "1861                  0                       0                 0   \n",
       "1862                  0                       0                 0   \n",
       "1863                  0                       0                 0   \n",
       "\n",
       "      team_one_McNeese State  team_one_Grand Canyon  team_two_Brigham Young  \\\n",
       "0                          0                      0                       0   \n",
       "1                          0                      0                       0   \n",
       "2                          0                      0                       0   \n",
       "3                          0                      0                       0   \n",
       "4                          0                      0                       0   \n",
       "...                      ...                    ...                     ...   \n",
       "1859                       0                      0                       0   \n",
       "1860                       0                      0                       0   \n",
       "1861                       0                      0                       0   \n",
       "1862                       0                      0                       0   \n",
       "1863                       0                      0                       0   \n",
       "\n",
       "      team_two_North Carolina  \n",
       "0                           0  \n",
       "1                           0  \n",
       "2                           0  \n",
       "3                           0  \n",
       "4                           0  \n",
       "...                       ...  \n",
       "1859                        0  \n",
       "1860                        0  \n",
       "1861                        0  \n",
       "1862                        0  \n",
       "1863                        0  \n",
       "\n",
       "[1864 rows x 737 columns]"
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data.drop(['team_one_wins'], axis=1)\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "id": "fde21cac",
   "metadata": {},
   "outputs": [],
   "source": [
    "og_data = X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "2bbeb8d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stored 'og_data' (DataFrame)\n"
     ]
    }
   ],
   "source": [
    "%store og_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "b140eca6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       1\n",
       "2       1\n",
       "3       1\n",
       "4       0\n",
       "       ..\n",
       "1859    1\n",
       "1860    1\n",
       "1861    0\n",
       "1862    1\n",
       "1863    1\n",
       "Name: team_one_wins, Length: 1864, dtype: int64"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = data['team_one_wins']\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "48022d00",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.10, random_state=101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "ba21a253",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1677, 737), (1677,))"
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "id": "1f4e1cb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((187, 737), (187,))"
      ]
     },
     "execution_count": 326,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52899871",
   "metadata": {},
   "source": [
    "## Model Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "id": "f0b5250b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "id": "ac9520c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = AdaBoostClassifier(n_estimators=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "a6526e48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-16 {color: black;background-color: white;}#sk-container-id-16 pre{padding: 0;}#sk-container-id-16 div.sk-toggleable {background-color: white;}#sk-container-id-16 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-16 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-16 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-16 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-16 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-16 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-16 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-16 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-16 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-16 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-16 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-16 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-16 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-16 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-16 div.sk-item {position: relative;z-index: 1;}#sk-container-id-16 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-16 div.sk-item::before, #sk-container-id-16 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-16 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-16 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-16 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-16 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-16 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-16 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-16 div.sk-label-container {text-align: center;}#sk-container-id-16 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-16 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-16\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>AdaBoostClassifier(n_estimators=18)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-26\" type=\"checkbox\" checked><label for=\"sk-estimator-id-26\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier(n_estimators=18)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "AdaBoostClassifier(n_estimators=18)"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "id": "912137e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report,plot_confusion_matrix,accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "id": "9047cae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "id": "5e1661d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0,\n",
       "       1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1,\n",
       "       0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0,\n",
       "       1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0,\n",
       "       1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1,\n",
       "       0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0,\n",
       "       1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1,\n",
       "       1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1])"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "id": "9f074950",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'for i in range(len(predictions)):\\n    row_index = X_test.iloc[i].name\\n    one_wins = f\"{df.iloc[row_index][\\'team_one\\']} wins\"\\n    two_wins = f\"{df.iloc[row_index][\\'team_two\\']} wins\"\\n    print(f\"{df.iloc[row_index][\\'team_one\\']} vs {df.iloc[row_index][\\'team_two\\']} - {one_wins if predictions[i] else two_wins}\")\\n'"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"for i in range(len(predictions)):\n",
    "    row_index = X_test.iloc[i].name\n",
    "    one_wins = f\"{df.iloc[row_index]['team_one']} wins\"\n",
    "    two_wins = f\"{df.iloc[row_index]['team_two']} wins\"\n",
    "    print(f\"{df.iloc[row_index]['team_one']} vs {df.iloc[row_index]['team_two']} - {one_wins if predictions[i] else two_wins}\")\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16041023",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "id": "0d2a637a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.71      0.66      0.68        64\n",
      "           1       0.83      0.86      0.84       123\n",
      "\n",
      "    accuracy                           0.79       187\n",
      "   macro avg       0.77      0.76      0.76       187\n",
      "weighted avg       0.79      0.79      0.79       187\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "9fb3357d",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rates = []\n",
    "\n",
    "for n in range(1,96):\n",
    "    \n",
    "    model = AdaBoostClassifier(n_estimators=n)\n",
    "    model.fit(X_train,y_train)\n",
    "    preds = model.predict(X_test)\n",
    "    err = 1 - accuracy_score(y_test,preds)\n",
    "    \n",
    "    error_rates.append(err)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "id": "737e3eaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "id": "2dc07829",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x124664430>]"
      ]
     },
     "execution_count": 337,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1,96),error_rates)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f10e6739",
   "metadata": {},
   "source": [
    "## Cross Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "id": "925d6f85",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "id": "00eea8ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_grid = {\n",
    "    'n_estimators': range(1,96)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "b1e847cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = AdaBoostClassifier()\n",
    "g_search = GridSearchCV(model, param_grid, scoring=\"neg_mean_squared_error\", cv=5, verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "f5f34bf8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 95 candidates, totalling 475 fits\n",
      "[CV] END .....................................n_estimators=1; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=1; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=1; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=1; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=1; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=2; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=2; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=2; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=2; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=2; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=3; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=3; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=3; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=3; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=3; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=4; total time=   0.0s\n",
      "[CV] END .....................................n_estimators=4; total time=   0.1s\n",
      "[CV] END .....................................n_estimators=4; total time=   0.1s\n",
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      "[CV] END .....................................n_estimators=4; total time=   0.1s\n",
      "[CV] END .....................................n_estimators=5; total time=   0.1s\n",
      "[CV] END .....................................n_estimators=5; total time=   0.1s\n",
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      "[CV] END .....................................n_estimators=6; total time=   0.1s\n",
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      "[CV] END .....................................n_estimators=7; total time=   0.1s\n",
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      "[CV] END .....................................n_estimators=7; total time=   0.1s\n",
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      "[CV] END ....................................n_estimators=11; total time=   0.1s\n",
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      "[CV] END ....................................n_estimators=20; total time=   0.2s\n",
      "[CV] END ....................................n_estimators=21; total time=   0.2s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END ....................................n_estimators=21; total time=   0.2s\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END ....................................n_estimators=41; total time=   0.3s\n",
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       "             param_grid={&#x27;n_estimators&#x27;: range(1, 96)},\n",
       "             scoring=&#x27;neg_mean_squared_error&#x27;, verbose=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-27\" type=\"checkbox\" ><label for=\"sk-estimator-id-27\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=AdaBoostClassifier(),\n",
       "             param_grid={&#x27;n_estimators&#x27;: range(1, 96)},\n",
       "             scoring=&#x27;neg_mean_squared_error&#x27;, verbose=2)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-28\" type=\"checkbox\" ><label for=\"sk-estimator-id-28\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-29\" type=\"checkbox\" ><label for=\"sk-estimator-id-29\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5, estimator=AdaBoostClassifier(),\n",
       "             param_grid={'n_estimators': range(1, 96)},\n",
       "             scoring='neg_mean_squared_error', verbose=2)"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g_search.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "b6fa6b9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_estimators': 52}"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g_search.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a1847b4",
   "metadata": {},
   "source": [
    "## Model Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "id": "0148f306",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error, mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "id": "a34756fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "id": "47d96c0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_predict = g_search.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "id": "b44955d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.17647058823529413"
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mae = mean_absolute_error(y_test, y_predict)\n",
    "mae"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "id": "052efd38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.17647058823529413"
      ]
     },
     "execution_count": 347,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mse = mean_squared_error(y_test, y_predict)\n",
    "mse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "id": "fbc56a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.42008402520840293"
      ]
     },
     "execution_count": 348,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse = math.sqrt(mse)\n",
    "rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "e4114874",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8235294117647058\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(y_test,y_predict))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1afda704",
   "metadata": {},
   "source": [
    "## Model Performance on Whole Data Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "id": "40e58684",
   "metadata": {},
   "outputs": [],
   "source": [
    "full_y_predict = g_search.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "b27fde6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8615879828326181\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(y,full_y_predict))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5db4628",
   "metadata": {},
   "source": [
    "## Model Export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "id": "5da96d26",
   "metadata": {},
   "outputs": [],
   "source": [
    "import joblib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "f5046de8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['final_model.pkl']"
      ]
     },
     "execution_count": 353,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "joblib.dump(g_search,'final_model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68438d9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b476b32",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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