ksi_analysis.ipynb

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      "source": [
        "# Toronto Traffic Accident Analysis\n",
        "\n",
        "- Daniel Siegel - 101367445\n",
        "- Michael McAllister - 101359469\n",
        "- Hom Kandel - 101385341\n",
        "- Eduardo Bastos de Moraes - 101345799"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BCZqHg7-Jhqf"
      },
      "source": [
        "## Project Definition:\n",
        "\n",
        "For this project, we were expected to build either a Random Forest Classifier or a Random Forest Regressor. This model is meant to analyze a database with the following 3 criteria:\n",
        "\n",
        "1.\tThe database needs to have at least 2 classes\n",
        "2.\tThe database should at least have 300 samples/rows\n",
        "3.\tThe database should at least have 8 columns/features\n",
        "\n",
        "Report:\n",
        "Put your results in a report. Your report needs to include the following sections:\n",
        "•\tThe Problem statement, \n",
        "•\tThe Database, \n",
        "•\tThe model you picked to solve the problem, \n",
        "•\tResults, the model performance (test, valid), the loss, predictions…\n",
        "(like use of confusion matrices etc…)\n",
        "•\tConclusions\n",
        "                                                     \n",
        "In your results please comment and discuss the followings:\n",
        "1.\tEvaluate the model, how?\n",
        "2.\tHow your model change when the number of estimators (decision trees) changes?\n",
        "3.\tWhat is the best number of estimators? How you can select the best number of estimators?\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_FZhK5jfJhqg"
      },
      "source": [
        "# Problem Statement"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6bIkxHLvJhqh"
      },
      "source": [
        "The problem of deaths and injury as a result of road accidents is now acknowledged to be a\n",
        "global phenomenon with authorities in virtually all countries of the world concerned about the\n",
        "growth in the number of people killed and seriously injured on their roads. More than 3000 people die in road crashes every day worldwide.\n",
        " Such accidents cost more than $518$  billion globally  per year. In particular, many young people are affected by traffic accidents, as most traffic \n",
        "accidents are caused by the 15–29 age group (Association for Safe International Road Travel Data).\n",
        "Hence, substantial efforts have been made to address the main factors that cause traffic accidents,\n",
        "such as speeding, distracted driving, driver fatigue, road conditions, use of mobile phones, and poor\n",
        "weather conditions. \n",
        "\n",
        "Traffic accidents are unpredictable and can happen anywhere and at any time. However, drivers\n",
        "can at least be provided with useful information to help avoid accidents or reduce their probability.\n",
        "The forecasting of traffic accidents and the identification of related factors under various conditions are\n",
        "important for preventing accidents and reducing their frequency. For these reasons, traffic accident\n",
        "prediction models have been developed to reveal the significant factors that affect traffic accidents so\n",
        "that traffic safety can be improved by controlling and/or improving these factors.The field of traffic accident analysis,\n",
        "however, has long been dominated by traditional statistical analysis\n",
        "methods, which over the years have yielded invaluable insight and\n",
        "helped guide policy. With the recent advances in data collection, storage, and archival methods, the size of accident data sets has\n",
        "grown significantly. This growth in turn has motivated research into\n",
        "machine learning  algorithms for traffic\n",
        "accident analysis.\n",
        "Machine learning is a well-developed technique and is being applied in many academic fields,\n",
        "although there are not many examples in transportation research.\n",
        "One of the problems facing people who live in big cities like Toronto is that they may be involved in a traffic accident. Therefore, this project proposes an analysis to show if we can determine the conditions most likely to lead to injury in a traffic accident in Toronto, applying Random Forest Classification.\n",
        "\n",
        "This project was carried out with the folowing objectives:\n",
        "- To explore the dataset of traffic accident information provided by Toronto traffic police\n",
        "- To identify important accident charactersitics\n",
        "- To understand the factors affecting accidents\n",
        "- To predict level injury in traffic accident"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qJPfrX2x36Y0"
      },
      "source": [
        "# Database description\n",
        "\n",
        "We used the dataset \"Killed or Seriously Injured (KSI) Toronto Clean\" from Kaggle, which can be found at [this link](https://www.kaggle.com/jrmistry/killed-or-seriously-injured-ksi-toronto-clean). It's a compilation of records of traffic accidents in the city of Toronto between 2007 and 2017. \n",
        "\n",
        "It contains rows for every person involved in an accident, and those similar accidents can be seen from the accident number (ACCNUM) column. \n",
        "\n",
        "Originally, we wanted to classify which accidents would lead to fatalities by targetting the \"FATAL\" column - but we realized that that is a dummy column based on \"ACCLASS\" which is set to True/1 for any accident that involved a fatality, not any row that was a person who was a fatality in an accident. Therefore, targetting that column would be very incorrect - it has far more \"True/1\" values than there are actual fatalities in the database.\n",
        "\n",
        "Instead, we opted to target the INJURY column, and make a model which could predict which traffic accidents conditions would lead to what level of injury on a per-person basis."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Md15uz7SJhqh"
      },
      "source": [
        "# Import the database and libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jYOYRXsUJhqh"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import pandas_profiling\n",
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt\n",
        "import plotly.express as px"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r77K6n76CDDT"
      },
      "source": [
        "data = pd.read_csv(\"https://raw.githubusercontent.com/danielmaxsiegel/GBC-ML1/main/datasets/KSI_CLEAN.csv\")\n",
        "RSEED = 42 # The answer to the ultimate question of life, the universe, and everything"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yBGHBzV3Jhqi"
      },
      "source": [
        "# Initial observations of the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
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        "outputId": "6b823870-11cb-4bdb-fe7e-4b33dbf1d33f"
      },
      "source": [
        "# Criteria 1: At least 2 classes. We'll reduce these in a later step\n",
        "print(\"The target class, INJURY - the injury suffered by each person in the accident\")\n",
        "data['INJURY'].value_counts()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The target class, INJURY - the injury suffered by each person in the accident\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "None       4576\n",
              "Major      4154\n",
              "           1472\n",
              "Minor       969\n",
              "Minimal     793\n",
              "Fatal       593\n",
              "Name: INJURY, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ad9qV7dxCxlB",
        "outputId": "56a4dcb4-0d0c-44f3-aa7d-1600736a5ccf"
      },
      "source": [
        "# Criteria 2 & 3: over 300 rows and 8 or more columns/features\n",
        "print('The dataset has', data.shape[0], 'rows and', data.shape[1], 'columns.')"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The dataset has 12557 rows and 56 columns.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "Dk17C1gSJhqj",
        "outputId": "608f6941-26c3-4a2d-d7d1-c2f31b5f2f1d"
      },
      "source": [
        "pd.set_option('display.max_columns', None)\n",
        "data.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACCNUM</th>\n",
              "      <th>YEAR</th>\n",
              "      <th>MONTH</th>\n",
              "      <th>DAY</th>\n",
              "      <th>HOUR</th>\n",
              "      <th>MINUTES</th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>LATITUDE</th>\n",
              "      <th>LONGITUDE</th>\n",
              "      <th>Ward_Name</th>\n",
              "      <th>Ward_ID</th>\n",
              "      <th>Hood_Name</th>\n",
              "      <th>Hood_ID</th>\n",
              "      <th>Division</th>\n",
              "      <th>District</th>\n",
              "      <th>STREET1</th>\n",
              "      <th>STREET2</th>\n",
              "      <th>OFFSET</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>LOCCOORD</th>\n",
              "      <th>ACCLOC</th>\n",
              "      <th>TRAFFCTL</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "      <th>ACCLASS</th>\n",
              "      <th>IMPACTYPE</th>\n",
              "      <th>INVTYPE</th>\n",
              "      <th>INVAGE</th>\n",
              "      <th>INJURY</th>\n",
              "      <th>FATAL_NO</th>\n",
              "      <th>INITDIR</th>\n",
              "      <th>VEHTYPE</th>\n",
              "      <th>MANOEUVER</th>\n",
              "      <th>DRIVACT</th>\n",
              "      <th>DRIVCOND</th>\n",
              "      <th>PEDTYPE</th>\n",
              "      <th>PEDACT</th>\n",
              "      <th>PEDCOND</th>\n",
              "      <th>CYCLISTYPE</th>\n",
              "      <th>CYCACT</th>\n",
              "      <th>CYCCOND</th>\n",
              "      <th>PEDESTRIAN</th>\n",
              "      <th>CYCLIST</th>\n",
              "      <th>AUTOMOBILE</th>\n",
              "      <th>MOTORCYCLE</th>\n",
              "      <th>TRUCK</th>\n",
              "      <th>TRSN_CITY_VEH</th>\n",
              "      <th>EMERG_VEH</th>\n",
              "      <th>PASSENGER</th>\n",
              "      <th>SPEEDING</th>\n",
              "      <th>AG_DRIV</th>\n",
              "      <th>REDLIGHT</th>\n",
              "      <th>ALCOHOL</th>\n",
              "      <th>DISABILITY</th>\n",
              "      <th>FATAL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1249781</td>\n",
              "      <td>2011</td>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>23</td>\n",
              "      <td>18</td>\n",
              "      <td>3</td>\n",
              "      <td>43.651545</td>\n",
              "      <td>-79.383490</td>\n",
              "      <td>Toronto Centre-Rosedale (27)</td>\n",
              "      <td>27</td>\n",
              "      <td>Bay Street Corridor (76)</td>\n",
              "      <td>76</td>\n",
              "      <td>D52</td>\n",
              "      <td>Toronto East York</td>\n",
              "      <td>QUEEN ST W</td>\n",
              "      <td>YORK ST</td>\n",
              "      <td></td>\n",
              "      <td>Major Arterial</td>\n",
              "      <td>Mid-Block</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>Clear</td>\n",
              "      <td>Dark</td>\n",
              "      <td>Dry</td>\n",
              "      <td>Non-Fatal Injury</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Driver</td>\n",
              "      <td>50 to 54</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "      <td>West</td>\n",
              "      <td>Municipal Transit Bus (TTC)</td>\n",
              "      <td>Going Ahead</td>\n",
              "      <td>Driving Properly</td>\n",
              "      <td>Normal</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1311542</td>\n",
              "      <td>2012</td>\n",
              "      <td>8</td>\n",
              "      <td>19</td>\n",
              "      <td>23</td>\n",
              "      <td>18</td>\n",
              "      <td>6</td>\n",
              "      <td>43.780445</td>\n",
              "      <td>-79.300490</td>\n",
              "      <td>Scarborough-Agincourt (40)</td>\n",
              "      <td>40</td>\n",
              "      <td>Tam O'Shanter-Sullivan (118)</td>\n",
              "      <td>118</td>\n",
              "      <td>D42</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>SHEPPARD AVE E</td>\n",
              "      <td>AMETHYST RD</td>\n",
              "      <td></td>\n",
              "      <td>Major Arterial</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>Clear</td>\n",
              "      <td>Dark, artificial</td>\n",
              "      <td>Dry</td>\n",
              "      <td>Non-Fatal Injury</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Passenger</td>\n",
              "      <td>25 to 29</td>\n",
              "      <td>Minimal</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Other</td>\n",
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              "      <td></td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5002235651</td>\n",
              "      <td>2015</td>\n",
              "      <td>12</td>\n",
              "      <td>30</td>\n",
              "      <td>23</td>\n",
              "      <td>39</td>\n",
              "      <td>2</td>\n",
              "      <td>43.682342</td>\n",
              "      <td>-79.328266</td>\n",
              "      <td>Toronto-Danforth (30)</td>\n",
              "      <td>30</td>\n",
              "      <td>Greenwood-Coxwell (65)</td>\n",
              "      <td>65</td>\n",
              "      <td>D55</td>\n",
              "      <td>Toronto East York</td>\n",
              "      <td>DANFORTH AVE</td>\n",
              "      <td>GILLARD AVE</td>\n",
              "      <td></td>\n",
              "      <td>Major Arterial</td>\n",
              "      <td>Intersection</td>\n",
              "      <td>At Intersection</td>\n",
              "      <td>No Control</td>\n",
              "      <td>Clear</td>\n",
              "      <td>Dark, artificial</td>\n",
              "      <td>Dry</td>\n",
              "      <td>Fatal</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Pedestrian</td>\n",
              "      <td>60 to 64</td>\n",
              "      <td>Fatal</td>\n",
              "      <td>64</td>\n",
              "      <td>South</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Vehicle is going straight thru inter.while ped...</td>\n",
              "      <td>Crossing, no Traffic Control</td>\n",
              "      <td>Normal</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1311542</td>\n",
              "      <td>2012</td>\n",
              "      <td>8</td>\n",
              "      <td>19</td>\n",
              "      <td>23</td>\n",
              "      <td>18</td>\n",
              "      <td>6</td>\n",
              "      <td>43.780445</td>\n",
              "      <td>-79.300490</td>\n",
              "      <td>Scarborough-Agincourt (40)</td>\n",
              "      <td>40</td>\n",
              "      <td>Tam O'Shanter-Sullivan (118)</td>\n",
              "      <td>118</td>\n",
              "      <td>D42</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>SHEPPARD AVE E</td>\n",
              "      <td>AMETHYST RD</td>\n",
              "      <td></td>\n",
              "      <td>Major Arterial</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>Clear</td>\n",
              "      <td>Dark, artificial</td>\n",
              "      <td>Dry</td>\n",
              "      <td>Non-Fatal Injury</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>unknown</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</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>1311542</td>\n",
              "      <td>2012</td>\n",
              "      <td>8</td>\n",
              "      <td>19</td>\n",
              "      <td>23</td>\n",
              "      <td>18</td>\n",
              "      <td>6</td>\n",
              "      <td>43.780445</td>\n",
              "      <td>-79.300490</td>\n",
              "      <td>Scarborough-Agincourt (40)</td>\n",
              "      <td>40</td>\n",
              "      <td>Tam O'Shanter-Sullivan (118)</td>\n",
              "      <td>118</td>\n",
              "      <td>D42</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>SHEPPARD AVE E</td>\n",
              "      <td>AMETHYST RD</td>\n",
              "      <td></td>\n",
              "      <td>Major Arterial</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>Clear</td>\n",
              "      <td>Dark, artificial</td>\n",
              "      <td>Dry</td>\n",
              "      <td>Non-Fatal Injury</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Driver</td>\n",
              "      <td>60 to 64</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "      <td>West</td>\n",
              "      <td>Automobile, Station Wagon</td>\n",
              "      <td>Going Ahead</td>\n",
              "      <td>Failed to Yield Right of Way</td>\n",
              "      <td>Normal</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       ACCNUM  YEAR  MONTH  DAY  HOUR  MINUTES  WEEKDAY   LATITUDE  LONGITUDE  \\\n",
              "0     1249781  2011      8    4    23       18        3  43.651545 -79.383490   \n",
              "1     1311542  2012      8   19    23       18        6  43.780445 -79.300490   \n",
              "2  5002235651  2015     12   30    23       39        2  43.682342 -79.328266   \n",
              "3     1311542  2012      8   19    23       18        6  43.780445 -79.300490   \n",
              "4     1311542  2012      8   19    23       18        6  43.780445 -79.300490   \n",
              "\n",
              "                      Ward_Name  Ward_ID                     Hood_Name  \\\n",
              "0  Toronto Centre-Rosedale (27)       27      Bay Street Corridor (76)   \n",
              "1    Scarborough-Agincourt (40)       40  Tam O'Shanter-Sullivan (118)   \n",
              "2         Toronto-Danforth (30)       30        Greenwood-Coxwell (65)   \n",
              "3    Scarborough-Agincourt (40)       40  Tam O'Shanter-Sullivan (118)   \n",
              "4    Scarborough-Agincourt (40)       40  Tam O'Shanter-Sullivan (118)   \n",
              "\n",
              "   Hood_ID Division           District         STREET1      STREET2 OFFSET  \\\n",
              "0       76      D52  Toronto East York      QUEEN ST W      YORK ST          \n",
              "1      118      D42        Scarborough  SHEPPARD AVE E  AMETHYST RD          \n",
              "2       65      D55  Toronto East York    DANFORTH AVE  GILLARD AVE          \n",
              "3      118      D42        Scarborough  SHEPPARD AVE E  AMETHYST RD          \n",
              "4      118      D42        Scarborough  SHEPPARD AVE E  AMETHYST RD          \n",
              "\n",
              "       ROAD_CLASS      LOCCOORD           ACCLOC    TRAFFCTL VISIBILITY  \\\n",
              "0  Major Arterial     Mid-Block                   No Control      Clear   \n",
              "1  Major Arterial  Intersection                   No Control      Clear   \n",
              "2  Major Arterial  Intersection  At Intersection  No Control      Clear   \n",
              "3  Major Arterial  Intersection                   No Control      Clear   \n",
              "4  Major Arterial  Intersection                   No Control      Clear   \n",
              "\n",
              "              LIGHT RDSFCOND           ACCLASS              IMPACTYPE  \\\n",
              "0              Dark      Dry  Non-Fatal Injury  Pedestrian Collisions   \n",
              "1  Dark, artificial      Dry  Non-Fatal Injury  Pedestrian Collisions   \n",
              "2  Dark, artificial      Dry             Fatal  Pedestrian Collisions   \n",
              "3  Dark, artificial      Dry  Non-Fatal Injury  Pedestrian Collisions   \n",
              "4  Dark, artificial      Dry  Non-Fatal Injury  Pedestrian Collisions   \n",
              "\n",
              "         INVTYPE    INVAGE   INJURY  FATAL_NO INITDIR  \\\n",
              "0         Driver  50 to 54     None         0    West   \n",
              "1      Passenger  25 to 29  Minimal         0           \n",
              "2     Pedestrian  60 to 64    Fatal        64   South   \n",
              "3  Vehicle Owner   unknown                  0           \n",
              "4         Driver  60 to 64     None         0    West   \n",
              "\n",
              "                       VEHTYPE    MANOEUVER                       DRIVACT  \\\n",
              "0  Municipal Transit Bus (TTC)  Going Ahead              Driving Properly   \n",
              "1                        Other                                              \n",
              "2                                                                           \n",
              "3                        Other                                              \n",
              "4    Automobile, Station Wagon  Going Ahead  Failed to Yield Right of Way   \n",
              "\n",
              "  DRIVCOND                                            PEDTYPE  \\\n",
              "0   Normal                                                      \n",
              "1                                                               \n",
              "2           Vehicle is going straight thru inter.while ped...   \n",
              "3                                                               \n",
              "4   Normal                                                      \n",
              "\n",
              "                         PEDACT PEDCOND CYCLISTYPE CYCACT CYCCOND  PEDESTRIAN  \\\n",
              "0                                                                           1   \n",
              "1                                                                           1   \n",
              "2  Crossing, no Traffic Control  Normal                                     1   \n",
              "3                                                                           1   \n",
              "4                                                                           1   \n",
              "\n",
              "   CYCLIST  AUTOMOBILE  MOTORCYCLE  TRUCK  TRSN_CITY_VEH  EMERG_VEH  \\\n",
              "0        0           0           0      0              1          0   \n",
              "1        0           1           0      0              0          0   \n",
              "2        0           1           0      0              0          0   \n",
              "3        0           1           0      0              0          0   \n",
              "4        0           1           0      0              0          0   \n",
              "\n",
              "   PASSENGER  SPEEDING  AG_DRIV  REDLIGHT  ALCOHOL  DISABILITY  FATAL  \n",
              "0          0         0        0         0        0           0      0  \n",
              "1          1         1        1         0        0           0      0  \n",
              "2          0         0        1         0        0           0      1  \n",
              "3          1         1        1         0        0           0      0  \n",
              "4          1         1        1         0        0           0      0  "
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YIk4XSJlJhqk",
        "outputId": "6e89c34f-c255-43b7-d854-37c0298c0828"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12557 entries, 0 to 12556\n",
            "Data columns (total 56 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   ACCNUM         12557 non-null  int64  \n",
            " 1   YEAR           12557 non-null  int64  \n",
            " 2   MONTH          12557 non-null  int64  \n",
            " 3   DAY            12557 non-null  int64  \n",
            " 4   HOUR           12557 non-null  int64  \n",
            " 5   MINUTES        12557 non-null  int64  \n",
            " 6   WEEKDAY        12557 non-null  int64  \n",
            " 7   LATITUDE       12557 non-null  float64\n",
            " 8   LONGITUDE      12557 non-null  float64\n",
            " 9   Ward_Name      12557 non-null  object \n",
            " 10  Ward_ID        12557 non-null  int64  \n",
            " 11  Hood_Name      12557 non-null  object \n",
            " 12  Hood_ID        12557 non-null  int64  \n",
            " 13  Division       12557 non-null  object \n",
            " 14  District       12557 non-null  object \n",
            " 15  STREET1        12557 non-null  object \n",
            " 16  STREET2        12557 non-null  object \n",
            " 17  OFFSET         12557 non-null  object \n",
            " 18  ROAD_CLASS     12557 non-null  object \n",
            " 19  LOCCOORD       12557 non-null  object \n",
            " 20  ACCLOC         12557 non-null  object \n",
            " 21  TRAFFCTL       12557 non-null  object \n",
            " 22  VISIBILITY     12557 non-null  object \n",
            " 23  LIGHT          12557 non-null  object \n",
            " 24  RDSFCOND       12557 non-null  object \n",
            " 25  ACCLASS        12557 non-null  object \n",
            " 26  IMPACTYPE      12557 non-null  object \n",
            " 27  INVTYPE        12557 non-null  object \n",
            " 28  INVAGE         12557 non-null  object \n",
            " 29  INJURY         12557 non-null  object \n",
            " 30  FATAL_NO       12557 non-null  int64  \n",
            " 31  INITDIR        12557 non-null  object \n",
            " 32  VEHTYPE        12557 non-null  object \n",
            " 33  MANOEUVER      12557 non-null  object \n",
            " 34  DRIVACT        12557 non-null  object \n",
            " 35  DRIVCOND       12557 non-null  object \n",
            " 36  PEDTYPE        12557 non-null  object \n",
            " 37  PEDACT         12557 non-null  object \n",
            " 38  PEDCOND        12557 non-null  object \n",
            " 39  CYCLISTYPE     12557 non-null  object \n",
            " 40  CYCACT         12557 non-null  object \n",
            " 41  CYCCOND        12557 non-null  object \n",
            " 42  PEDESTRIAN     12557 non-null  int64  \n",
            " 43  CYCLIST        12557 non-null  int64  \n",
            " 44  AUTOMOBILE     12557 non-null  int64  \n",
            " 45  MOTORCYCLE     12557 non-null  int64  \n",
            " 46  TRUCK          12557 non-null  int64  \n",
            " 47  TRSN_CITY_VEH  12557 non-null  int64  \n",
            " 48  EMERG_VEH      12557 non-null  int64  \n",
            " 49  PASSENGER      12557 non-null  int64  \n",
            " 50  SPEEDING       12557 non-null  int64  \n",
            " 51  AG_DRIV        12557 non-null  int64  \n",
            " 52  REDLIGHT       12557 non-null  int64  \n",
            " 53  ALCOHOL        12557 non-null  int64  \n",
            " 54  DISABILITY     12557 non-null  int64  \n",
            " 55  FATAL          12557 non-null  int64  \n",
            "dtypes: float64(2), int64(24), object(30)\n",
            "memory usage: 5.4+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 740
        },
        "id": "9eQbmfxhpbW9",
        "outputId": "29ef9307-7073-446b-c735-9de7afe9e819"
      },
      "source": [
        "# Where do these accidents take place?\n",
        "import folium\n",
        "from folium.plugins import HeatMap\n",
        "\n",
        "lat_Toronto = data.describe().at['mean','LATITUDE']\n",
        "lng_Toronto = data.describe().at['mean','LONGITUDE']\n",
        "\n",
        "data_geo = data[['LATITUDE', 'LONGITUDE']].sample(1500)\n",
        "toronto_map = folium.Map(location = [lat_Toronto, lng_Toronto], zoom_start = 11)\n",
        "\n",
        "HeatMap(data_geo.values, min_opacity = 0.4).add_to(toronto_map)\n",
        "toronto_map"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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    },
    {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "e0-2VtpNnV3K",
        "outputId": "de23bbb5-c535-47a7-f8f9-1d316b8a98d8"
      },
      "source": [
        "#Adding the graphs for the problem statement chart \n",
        "graf1=data.groupby(['YEAR','INJURY'])['ACCNUM'].nunique().reset_index()\n",
        "graf1.rename(columns = {'ACCNUM':'Accidents','YEAR':'Year','INJURY':'Injury'},inplace=True)\n",
        "fig1 = px.bar(graf1,x=\"Year\", y='Accidents', color=\"Injury\",title='Number of accidents in Toronto by year',text='Accidents')\n",
        "fig2 = px.pie(graf1, names='Injury',values='Accidents',color='Injury',title='Distribution of accidents in Toronto by injury',width=500)\n",
        "print(fig1.show(),fig2.show())"
      ],
      "execution_count": 8,
      "outputs": [
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              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "None None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 172
        },
        "id": "zCbpizeFnV3L",
        "outputId": "2d910df1-f1ea-4669-86cf-993b2c73903b"
      },
      "source": [
        "# Clean INJURY column (severity of injury)\n",
        "# It appears that the injury code left blank means no injury, or the party is on the police report but indirectly involved in the accident so left blank\n",
        "data.loc[data['ACCNUM'] == 1311542, ['ACCNUM', 'IMPACTYPE', 'INVTYPE']]"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACCNUM</th>\n",
              "      <th>IMPACTYPE</th>\n",
              "      <th>INVTYPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Passenger</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Driver</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Pedestrian</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    ACCNUM              IMPACTYPE        INVTYPE\n",
              "1  1311542  Pedestrian Collisions      Passenger\n",
              "3  1311542  Pedestrian Collisions  Vehicle Owner\n",
              "4  1311542  Pedestrian Collisions         Driver\n",
              "5  1311542  Pedestrian Collisions     Pedestrian"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wetu9CvQnV3L",
        "outputId": "21cd60d6-811b-4af1-80cc-7b5366a4b4c2"
      },
      "source": [
        "data['ACCLASS'].value_counts()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Non-Fatal Injury        10829\n",
              "Fatal                    1716\n",
              "Property Damage Only       12\n",
              "Name: ACCLASS, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "id": "ujs_1yhsnV3M",
        "outputId": "135abf92-abb9-4b51-cf8d-5912d6200bd2"
      },
      "source": [
        "# Demonstrate that one accident can lead to multiple rows - and even though FATAL\n",
        "# is true for both, only one person died.\n",
        "data.loc[data['ACCNUM'] == 5000995174, ['ACCNUM', 'ACCLASS', 'FATAL', 'INJURY']]"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACCNUM</th>\n",
              "      <th>ACCLASS</th>\n",
              "      <th>FATAL</th>\n",
              "      <th>INJURY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>5000995174</td>\n",
              "      <td>Fatal</td>\n",
              "      <td>1</td>\n",
              "      <td>Fatal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>5000995174</td>\n",
              "      <td>Fatal</td>\n",
              "      <td>1</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        ACCNUM ACCLASS  FATAL INJURY\n",
              "30  5000995174   Fatal      1  Fatal\n",
              "31  5000995174   Fatal      1   None"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 172
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        "outputId": "11e1b15c-e79b-4bb9-c585-783c128dbc80"
      },
      "source": [
        "# Demonstrate that per accident, each record is one involved person\n",
        "data.loc[data['ACCNUM'] == 1311542, ['ACCNUM', 'IMPACTYPE', 'INVTYPE']]"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>ACCNUM</th>\n",
              "      <th>IMPACTYPE</th>\n",
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              "      <th>1</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Passenger</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Driver</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1311542</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Pedestrian</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    ACCNUM              IMPACTYPE        INVTYPE\n",
              "1  1311542  Pedestrian Collisions      Passenger\n",
              "3  1311542  Pedestrian Collisions  Vehicle Owner\n",
              "4  1311542  Pedestrian Collisions         Driver\n",
              "5  1311542  Pedestrian Collisions     Pedestrian"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "id": "Iz9MQMXaJhql",
        "outputId": "15df5016-4209-4d98-9a18-5a4905d812a8"
      },
      "source": [
        "# At first glance the data appears to be very clean because there's no Nones/NaNs\n",
        "plt.figure(figsize=(20,5))\n",
        "sns.heatmap(data.isna(), cbar=False, cmap='viridis', yticklabels=False)\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff361f39c10>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "id": "DTV6pAeJ1_Td",
        "outputId": "cf0989b7-dc1a-4085-bf5b-ff0739ceef76"
      },
      "source": [
        "#After trying numerous times to try and figure out the blanks values in the database, they've been setup as ' ' strings\n",
        "plt.figure(figsize=(20,5))\n",
        "sns.heatmap(data.eq(' '), cbar=False, cmap='viridis', yticklabels=False)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff3622f2a50>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tfSbeBU3lYty",
        "tags": []
      },
      "source": [
        "# Clean Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7TSBk2j9Jhqk",
        "outputId": "7d7bd6bc-38b8-4f4a-a1bb-4b242873aa79"
      },
      "source": [
        "# Drop superfluous columns - some with irrelevant data, some with duplicate information (such as \"FATAL_NO\")\n",
        "data = data.drop(['Ward_ID', 'Hood_ID', 'ACCNUM', 'YEAR', 'MONTH', 'DAY', 'HOUR', 'MINUTES', 'LATITUDE', 'LONGITUDE', 'Ward_Name', 'Hood_Name', 'Division', 'District', 'STREET1', 'STREET2', 'OFFSET', 'INITDIR', 'ACCLASS', 'FATAL_NO'], axis=1)\n",
        "data.info()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12557 entries, 0 to 12556\n",
            "Data columns (total 36 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   WEEKDAY        12557 non-null  int64 \n",
            " 1   ROAD_CLASS     12557 non-null  object\n",
            " 2   LOCCOORD       12557 non-null  object\n",
            " 3   ACCLOC         12557 non-null  object\n",
            " 4   TRAFFCTL       12557 non-null  object\n",
            " 5   VISIBILITY     12557 non-null  object\n",
            " 6   LIGHT          12557 non-null  object\n",
            " 7   RDSFCOND       12557 non-null  object\n",
            " 8   IMPACTYPE      12557 non-null  object\n",
            " 9   INVTYPE        12557 non-null  object\n",
            " 10  INVAGE         12557 non-null  object\n",
            " 11  INJURY         12557 non-null  object\n",
            " 12  VEHTYPE        12557 non-null  object\n",
            " 13  MANOEUVER      12557 non-null  object\n",
            " 14  DRIVACT        12557 non-null  object\n",
            " 15  DRIVCOND       12557 non-null  object\n",
            " 16  PEDTYPE        12557 non-null  object\n",
            " 17  PEDACT         12557 non-null  object\n",
            " 18  PEDCOND        12557 non-null  object\n",
            " 19  CYCLISTYPE     12557 non-null  object\n",
            " 20  CYCACT         12557 non-null  object\n",
            " 21  CYCCOND        12557 non-null  object\n",
            " 22  PEDESTRIAN     12557 non-null  int64 \n",
            " 23  CYCLIST        12557 non-null  int64 \n",
            " 24  AUTOMOBILE     12557 non-null  int64 \n",
            " 25  MOTORCYCLE     12557 non-null  int64 \n",
            " 26  TRUCK          12557 non-null  int64 \n",
            " 27  TRSN_CITY_VEH  12557 non-null  int64 \n",
            " 28  EMERG_VEH      12557 non-null  int64 \n",
            " 29  PASSENGER      12557 non-null  int64 \n",
            " 30  SPEEDING       12557 non-null  int64 \n",
            " 31  AG_DRIV        12557 non-null  int64 \n",
            " 32  REDLIGHT       12557 non-null  int64 \n",
            " 33  ALCOHOL        12557 non-null  int64 \n",
            " 34  DISABILITY     12557 non-null  int64 \n",
            " 35  FATAL          12557 non-null  int64 \n",
            "dtypes: int64(15), object(21)\n",
            "memory usage: 3.4+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mrwI10WjJhql"
      },
      "source": [
        "for column_name in ['FATAL','DISABILITY', 'ALCOHOL', 'REDLIGHT', \n",
        "                    'AG_DRIV', 'SPEEDING', 'PASSENGER', 'EMERG_VEH', \n",
        "                    'TRSN_CITY_VEH', 'TRUCK', 'MOTORCYCLE', 'AUTOMOBILE', \n",
        "                    'CYCLIST', 'PEDESTRIAN']:\n",
        "    data[column_name] = data[column_name].astype('int64')"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PzUVh-bxkGlk"
      },
      "source": [
        "# Clean ROAD_CLASS column (which type of road the drivers were on) was setup as an ordinal feature\n",
        "data['ROAD_CLASS'] = data['ROAD_CLASS'].replace(to_replace=['Minor Arterial', 'Laneway', 'Local'], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['ROAD_CLASS'] = data['ROAD_CLASS'].replace(to_replace=['Major Arterial', 'Major Arterial Ramp'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['ROAD_CLASS'] = data['ROAD_CLASS'].replace(to_replace=['Collector', 'Expressway', 'Expressway Ramp'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "\n",
        "# Clean VISIBILITY column (the weather conditions surrounding the accident) was setup as an ordinal feature\n",
        "original_data = data['VISIBILITY'].value_counts()\n",
        "data['VISIBILITY'] = data['VISIBILITY'].replace(to_replace=['Clear', 'Other', ' '], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VISIBILITY'] = data['VISIBILITY'].replace(to_replace=['Rain', 'Strong wind', 'Fog, Mist, Smoke, Dust'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VISIBILITY'] = data['VISIBILITY'].replace(to_replace=['Snow', 'Freezing Rain', 'Drifting Snow'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "\n",
        "# Clean LIGHT column (the amount of light present at the time of accident) was setup as an ordinal feature, Dusk and Dawn were merged due to similar lighting\n",
        "data['LIGHT'] = data['LIGHT'].replace(to_replace=['Daylight', 'Daylight, artificial', ' ', 'Other'], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['LIGHT'] = data['LIGHT'].replace(to_replace=['Dusk', 'Dusk, artificial', 'Dawn', 'Dawn, artificial'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['LIGHT'] = data['LIGHT'].replace(to_replace=['Dark', 'Dark, artificial'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "\n",
        "# Clean RDSFCOND column (the road surface condition) was setup as an ordinal feature\n",
        "data['RDSFCOND'] = data['RDSFCOND'].replace(to_replace=['Dry', ' '], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['RDSFCOND'] = data['RDSFCOND'].replace(to_replace=['Wet', 'Other', 'Loose Sand or Gravel', 'Loose Snow'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['RDSFCOND'] = data['RDSFCOND'].replace(to_replace=['Slush', 'Ice', 'Packed Snow', 'Spilled liquid'], value=2, inplace=False, limit=None, regex=False, method='pad')"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cJobraARkqln"
      },
      "source": [
        "# Clean INVAGE column (age of involved party) was setup as an ordinal feature\n",
        "# setup ordinal list, and average filled unknown values\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['0 to 4'], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['5 to 9'], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['10 to 14'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['15 to 19'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['20 to 24'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['25 to 29'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['30 to 34'], value=3, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['35 to 39'], value=3, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['40 to 44'], value=4, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['45 to 49'], value=4, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['50 to 54'], value=5, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['55 to 59'], value=5, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['60 to 64'], value=6, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['65 to 69'], value=6, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['70 to 74'], value=7, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['75 to 79'], value=7, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['80 to 84'], value=8, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['85 to 89'], value=8, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['90 to 94'], value=9, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['Over 95'], value=9, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVAGE'] = data['INVAGE'].replace(to_replace=['unknown'], value=7, inplace=False, limit=None, regex=False, method='pad')"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pp-lfkjGlLHi",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "outputId": "21af6ac6-3fed-4260-ec0c-26fb0799967b"
      },
      "source": [
        "# Clean INJURY column (severity of injury)\n",
        "# It appears that the injury code left blank means no injury, or the party is on the police report but indirectly involved in the accident so left blank\n",
        "data.loc[data['INJURY'] == ' '].head()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>LOCCOORD</th>\n",
              "      <th>ACCLOC</th>\n",
              "      <th>TRAFFCTL</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "      <th>IMPACTYPE</th>\n",
              "      <th>INVTYPE</th>\n",
              "      <th>INVAGE</th>\n",
              "      <th>INJURY</th>\n",
              "      <th>VEHTYPE</th>\n",
              "      <th>MANOEUVER</th>\n",
              "      <th>DRIVACT</th>\n",
              "      <th>DRIVCOND</th>\n",
              "      <th>PEDTYPE</th>\n",
              "      <th>PEDACT</th>\n",
              "      <th>PEDCOND</th>\n",
              "      <th>CYCLISTYPE</th>\n",
              "      <th>CYCACT</th>\n",
              "      <th>CYCCOND</th>\n",
              "      <th>PEDESTRIAN</th>\n",
              "      <th>CYCLIST</th>\n",
              "      <th>AUTOMOBILE</th>\n",
              "      <th>MOTORCYCLE</th>\n",
              "      <th>TRUCK</th>\n",
              "      <th>TRSN_CITY_VEH</th>\n",
              "      <th>EMERG_VEH</th>\n",
              "      <th>PASSENGER</th>\n",
              "      <th>SPEEDING</th>\n",
              "      <th>AG_DRIV</th>\n",
              "      <th>REDLIGHT</th>\n",
              "      <th>ALCOHOL</th>\n",
              "      <th>DISABILITY</th>\n",
              "      <th>FATAL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Mid-Block</td>\n",
              "      <td>At Intersection</td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Sideswipe</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Mid-Block</td>\n",
              "      <td>At Intersection</td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Sideswipe</td>\n",
              "      <td>Other Property Owner</td>\n",
              "      <td>7</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>Traffic Signal</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Rear End</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td>At Intersection</td>\n",
              "      <td>Traffic Signal</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>SMV Other</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td></td>\n",
              "      <td>Other</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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "</div>"
            ],
            "text/plain": [
              "    WEEKDAY  ROAD_CLASS      LOCCOORD           ACCLOC        TRAFFCTL  \\\n",
              "3         6           1  Intersection                       No Control   \n",
              "16        6           1     Mid-Block  At Intersection      No Control   \n",
              "19        6           1     Mid-Block  At Intersection      No Control   \n",
              "38        0           1  Intersection                   Traffic Signal   \n",
              "56        0           1  Intersection  At Intersection  Traffic Signal   \n",
              "\n",
              "    VISIBILITY  LIGHT  RDSFCOND              IMPACTYPE               INVTYPE  \\\n",
              "3            0      2         0  Pedestrian Collisions         Vehicle Owner   \n",
              "16           0      2         0              Sideswipe         Vehicle Owner   \n",
              "19           0      2         0              Sideswipe  Other Property Owner   \n",
              "38           0      2         0               Rear End         Vehicle Owner   \n",
              "56           0      2         0              SMV Other         Vehicle Owner   \n",
              "\n",
              "    INVAGE INJURY VEHTYPE MANOEUVER DRIVACT DRIVCOND PEDTYPE PEDACT PEDCOND  \\\n",
              "3        7          Other                                                     \n",
              "16       7          Other                                                     \n",
              "19       7          Other                                                     \n",
              "38       7          Other                                                     \n",
              "56       7          Other                                                     \n",
              "\n",
              "   CYCLISTYPE CYCACT CYCCOND  PEDESTRIAN  CYCLIST  AUTOMOBILE  MOTORCYCLE  \\\n",
              "3                                      1        0           1           0   \n",
              "16                                     0        0           1           0   \n",
              "19                                     0        0           1           0   \n",
              "38                                     0        0           1           0   \n",
              "56                                     0        0           1           0   \n",
              "\n",
              "    TRUCK  TRSN_CITY_VEH  EMERG_VEH  PASSENGER  SPEEDING  AG_DRIV  REDLIGHT  \\\n",
              "3       0              0          0          1         1        1         0   \n",
              "16      0              0          0          0         0        0         0   \n",
              "19      0              0          0          0         0        0         0   \n",
              "38      0              0          0          1         0        1         0   \n",
              "56      0              0          0          1         0        0         0   \n",
              "\n",
              "    ALCOHOL  DISABILITY  FATAL  \n",
              "3         0           0      0  \n",
              "16        1           0      0  \n",
              "19        1           0      0  \n",
              "38        0           0      0  \n",
              "56        0           0      0  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bl9VEsD5mD6g"
      },
      "source": [
        "# Injury will be our target class, with ' ' values set to no injury\n",
        "data['INJURY'] = data['INJURY'].replace(to_replace=['None', ' '], value=0, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INJURY'] = data['INJURY'].replace(to_replace=['Minimal', 'Minor'], value=1, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INJURY'] = data['INJURY'].replace(to_replace=['Major'], value=2, inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INJURY'] = data['INJURY'].replace(to_replace=['Fatal'], value=3, inplace=False, limit=None, regex=False, method='pad')"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LNnNYSWgmoNN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "10fbd83d-195e-4098-f35a-69375267875e"
      },
      "source": [
        "# Clean VEHTYPE column - the type of vehicle involved.\n",
        "# As we can see, pedestrian collisions have an other classifier very frequently.  However, it's also been tied to vehicle owners making this a difficult feature to clean\n",
        "# As other is such a large category, I will not be changing this into an ordinal set as we lack the domain knowledge, and instead categorize using get_dummies.  \n",
        "# So we ended up grouping vehicle classes, leaving 'other' as it's own category, and leaving ' ' as it's own category \n",
        "data['VEHTYPE'].value_counts()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Automobile, Station Wagon           5140\n",
              "Other                               4029\n",
              "                                    1707\n",
              "Bicycle                              537\n",
              "Motorcycle                           416\n",
              "Municipal Transit Bus (TTC)          199\n",
              "Truck - Open                         150\n",
              "Pick Up Truck                         88\n",
              "Passenger Van                         74\n",
              "Delivery Van                          35\n",
              "Truck - Closed (Blazer, etc)          31\n",
              "Street Car                            24\n",
              "Truck - Dump                          22\n",
              "Taxi                                  22\n",
              "Truck-Tractor                         20\n",
              "Moped                                 19\n",
              "Bus (Other) (Go Bus, Gray Coach)      11\n",
              "Truck (other)                          7\n",
              "Intercity Bus                          7\n",
              "Tow Truck                              4\n",
              "Truck - Tank                           4\n",
              "Police Vehicle                         3\n",
              "School Bus                             2\n",
              "Construction Equipment                 2\n",
              "Other Emergency Vehicle                1\n",
              "Off Road - 2 Wheels                    1\n",
              "Fire Vehicle                           1\n",
              "Truck - Car Carrier                    1\n",
              "Name: VEHTYPE, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m7YlNDAMQVz2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "outputId": "fefb88f3-7be9-4cee-ce43-263baadbf889"
      },
      "source": [
        "data.loc[data['VEHTYPE'] == 'Other'].head()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>LOCCOORD</th>\n",
              "      <th>ACCLOC</th>\n",
              "      <th>TRAFFCTL</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "      <th>IMPACTYPE</th>\n",
              "      <th>INVTYPE</th>\n",
              "      <th>INVAGE</th>\n",
              "      <th>INJURY</th>\n",
              "      <th>VEHTYPE</th>\n",
              "      <th>MANOEUVER</th>\n",
              "      <th>DRIVACT</th>\n",
              "      <th>DRIVCOND</th>\n",
              "      <th>PEDTYPE</th>\n",
              "      <th>PEDACT</th>\n",
              "      <th>PEDCOND</th>\n",
              "      <th>CYCLISTYPE</th>\n",
              "      <th>CYCACT</th>\n",
              "      <th>CYCCOND</th>\n",
              "      <th>PEDESTRIAN</th>\n",
              "      <th>CYCLIST</th>\n",
              "      <th>AUTOMOBILE</th>\n",
              "      <th>MOTORCYCLE</th>\n",
              "      <th>TRUCK</th>\n",
              "      <th>TRSN_CITY_VEH</th>\n",
              "      <th>EMERG_VEH</th>\n",
              "      <th>PASSENGER</th>\n",
              "      <th>SPEEDING</th>\n",
              "      <th>AG_DRIV</th>\n",
              "      <th>REDLIGHT</th>\n",
              "      <th>ALCOHOL</th>\n",
              "      <th>DISABILITY</th>\n",
              "      <th>FATAL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Passenger</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Other</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</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>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>Other</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Pedestrian</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Pedestrian hit at mid-block</td>\n",
              "      <td>Crossing, no Traffic Control</td>\n",
              "      <td>Normal</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>Intersection</td>\n",
              "      <td></td>\n",
              "      <td>Traffic Signal</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Pedestrian Collisions</td>\n",
              "      <td>Pedestrian</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td>Other</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Vehicle turns left while ped crosses with ROW ...</td>\n",
              "      <td>Crossing with right of way</td>\n",
              "      <td>Normal</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Mid-Block</td>\n",
              "      <td>At Intersection</td>\n",
              "      <td>No Control</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Sideswipe</td>\n",
              "      <td>Vehicle Owner</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>Other</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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    WEEKDAY  ROAD_CLASS      LOCCOORD           ACCLOC        TRAFFCTL  \\\n",
              "1         6           1  Intersection                       No Control   \n",
              "3         6           1  Intersection                       No Control   \n",
              "5         6           1  Intersection                       No Control   \n",
              "9         3           0  Intersection                   Traffic Signal   \n",
              "16        6           1     Mid-Block  At Intersection      No Control   \n",
              "\n",
              "    VISIBILITY  LIGHT  RDSFCOND              IMPACTYPE        INVTYPE  INVAGE  \\\n",
              "1            0      2         0  Pedestrian Collisions      Passenger       2   \n",
              "3            0      2         0  Pedestrian Collisions  Vehicle Owner       7   \n",
              "5            0      2         0  Pedestrian Collisions     Pedestrian       6   \n",
              "9            0      2         0  Pedestrian Collisions     Pedestrian       2   \n",
              "16           0      2         0              Sideswipe  Vehicle Owner       7   \n",
              "\n",
              "    INJURY VEHTYPE MANOEUVER DRIVACT DRIVCOND  \\\n",
              "1        1   Other                              \n",
              "3        0   Other                              \n",
              "5        2   Other                              \n",
              "9        2   Other     Other                    \n",
              "16       0   Other                              \n",
              "\n",
              "                                              PEDTYPE  \\\n",
              "1                                                       \n",
              "3                                                       \n",
              "5                         Pedestrian hit at mid-block   \n",
              "9   Vehicle turns left while ped crosses with ROW ...   \n",
              "16                                                      \n",
              "\n",
              "                          PEDACT PEDCOND CYCLISTYPE CYCACT CYCCOND  \\\n",
              "1                                                                    \n",
              "3                                                                    \n",
              "5   Crossing, no Traffic Control  Normal                             \n",
              "9     Crossing with right of way  Normal                             \n",
              "16                                                                   \n",
              "\n",
              "    PEDESTRIAN  CYCLIST  AUTOMOBILE  MOTORCYCLE  TRUCK  TRSN_CITY_VEH  \\\n",
              "1            1        0           1           0      0              0   \n",
              "3            1        0           1           0      0              0   \n",
              "5            1        0           1           0      0              0   \n",
              "9            1        0           1           0      0              0   \n",
              "16           0        0           1           0      0              0   \n",
              "\n",
              "    EMERG_VEH  PASSENGER  SPEEDING  AG_DRIV  REDLIGHT  ALCOHOL  DISABILITY  \\\n",
              "1           0          1         1        1         0        0           0   \n",
              "3           0          1         1        1         0        0           0   \n",
              "5           0          1         1        1         0        0           0   \n",
              "9           0          0         0        1         0        0           0   \n",
              "16          0          0         0        0         0        1           0   \n",
              "\n",
              "    FATAL  \n",
              "1       0  \n",
              "3       0  \n",
              "5       0  \n",
              "9       0  \n",
              "16      0  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WHz45h4Tm8gV"
      },
      "source": [
        "#Grouping small categories together by weight class/vehicle type and setup as an ordinal feature\n",
        "data['VEHTYPE'] = data['VEHTYPE'].replace(to_replace=[' '], value='NA', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VEHTYPE'] = data['VEHTYPE'].replace(to_replace=['Municipal Transit Bus (TTC)', 'Truck - Open', 'Delivery Van', 'Street Car', 'Truck - Dump', 'Truck-Tractor', 'Bus (Other) (Go Bus, Gray Coach)', 'Truck (other)', 'Intercity Bus', 'Truck - Tank', 'School Bus', 'Construction Equipment', 'Truck - Car Carrier', 'Fire Vehicle', 'Other Emergency Vehicle'], value='Heavy Commercial', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VEHTYPE'] = data['VEHTYPE'].replace(to_replace=['Off Road - 2 Wheels', 'Moped'], value='Motorcycle', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VEHTYPE'] = data['VEHTYPE'].replace(to_replace=['Pick Up Truck', 'Passenger Van', 'Truck - Closed (Blazer, etc)', 'Tow Truck'], value='Large Auto', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['VEHTYPE'] = data['VEHTYPE'].replace(to_replace=['Taxi', 'Police Vehicle'], value='Automobile, Station Wagon', inplace=False, limit=None, regex=False, method='pad')"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hIbWY1vsnM-s"
      },
      "source": [
        "# Clean INVTYPE column - the involvement of the person in the row of the database\n",
        "# Grouping small categories together by weight class/vehicle type\n",
        "data['INVTYPE'] = data['INVTYPE'].replace(to_replace=['Moped Driver'], value='Motorcycle Driver', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVTYPE'] = data['INVTYPE'].replace(to_replace=['Motorcycle Passenger'], value='Motorcycle Driver', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVTYPE'] = data['INVTYPE'].replace(to_replace=['Wheelchair', 'In-Line Skater'], value='Pedestrian', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVTYPE'] = data['INVTYPE'].replace(to_replace=[' ', 'Other Property Owner', 'Driver - Not Hit', 'a', 'Runaway - No Driver', 'Unknown - FTR', 'Pedestrian - Not Hit', 'Witness'], value='Other', inplace=False, limit=None, regex=False, method='pad')\n",
        "data['INVTYPE'] = data['INVTYPE'].replace(to_replace=['Trailer Owner'], value='Vehicle Owner', inplace=False, limit=None, regex=False, method='pad')\n"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EKmUQIjMovhY"
      },
      "source": [
        "#Ordinal features and our label has now been setup, now we need to one hot encode all our categorical features"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MF6tXfz41_Tg"
      },
      "source": [
        "# Clean LOCCORD - Location Coordinates of accident\n",
        "data['LOCCOORD'] = data['LOCCOORD'].replace(to_replace=[' ', 'Park, Private Property, Public Lane', 'Entrance Ramp Westbound'], value='Other', inplace=False, limit=None, regex=False, method='pad')\n",
        "data1 = pd.get_dummies(data[['LOCCOORD']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('LOCCOORD', axis=1, inplace=True)\n",
        "\n",
        "# Clean ACCLOC - the accident location\n",
        "data['ACCLOC'] = data['ACCLOC'].replace(to_replace=[' '], value='Other', inplace=False, limit=None, regex=False, method='pad')\n",
        "data1 = pd.get_dummies(data[['ACCLOC']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('ACCLOC', axis=1, inplace=True)\n",
        "\n",
        "# Clean TRAFFCTL - the type of traffic control present\n",
        "data1 = pd.get_dummies(data[['TRAFFCTL']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('TRAFFCTL', axis=1, inplace=True)\n",
        "\n",
        "# Clean IMPACTYPE - the type of impact\n",
        "data1 = pd.get_dummies(data[['IMPACTYPE']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('IMPACTYPE', axis=1, inplace=True)\n",
        "\n",
        "# get_dummies for various columns\n",
        "data1 = pd.get_dummies(data[['INVTYPE']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('INVTYPE', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['VEHTYPE']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('VEHTYPE', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['MANOEUVER']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('MANOEUVER', axis=1, inplace=True)\n",
        "\n",
        "# DRIVACT = Driver Action, what the driver was doing\n",
        "data1 = pd.get_dummies(data[['DRIVACT']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('DRIVACT', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['DRIVCOND']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('DRIVCOND', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['PEDTYPE']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('PEDTYPE', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['PEDACT']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('PEDACT', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['PEDCOND']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('PEDCOND', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['CYCLISTYPE']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('CYCLISTYPE', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['CYCACT']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('CYCACT', axis=1, inplace=True)\n",
        "\n",
        "data1 = pd.get_dummies(data[['CYCCOND']])\n",
        "data = pd.concat([data,data1], axis=1)\n",
        "data.drop('CYCCOND', axis=1, inplace=True)"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YaIF-SM5o6Rn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "97806862-4190-4217-9602-dfda713ce60b"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 12557 entries, 0 to 12556\n",
            "Columns: 202 entries, WEEKDAY to CYCCOND_Unknown\n",
            "dtypes: int64(21), uint8(181)\n",
            "memory usage: 4.2 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MXMjnmHenV3R",
        "outputId": "393df792-ab7f-442e-9bd7-201b2ba9b196"
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12557, 202)"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pc7_fpLTJhqm"
      },
      "source": [
        "# Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5jVUYmon1_Ti"
      },
      "source": [
        "############### PCA ######################################"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LQPpiIgr1_Ti"
      },
      "source": [
        "from sklearn.decomposition import TruncatedSVD as svd\n",
        "from sklearn.pipeline import Pipeline"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J0l4p4vR1_Ti"
      },
      "source": [
        "# Moving injury target to the end of the dataframe\n",
        "injury = data['INJURY']\n",
        "d = data.drop(columns=['INJURY'])\n",
        "data = pd.concat([d, injury], axis=1)"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A_5k_mZT1_Tj",
        "outputId": "949a0b04-f6d2-4e36-f291-a42c4017d2ce"
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12557, 202)"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2rg4_cId1_Tj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 341
        },
        "outputId": "faf82950-1128-4941-c4b7-936f993734d4"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "      <th>INVAGE</th>\n",
              "      <th>PEDESTRIAN</th>\n",
              "      <th>CYCLIST</th>\n",
              "      <th>AUTOMOBILE</th>\n",
              "      <th>MOTORCYCLE</th>\n",
              "      <th>TRUCK</th>\n",
              "      <th>TRSN_CITY_VEH</th>\n",
              "      <th>EMERG_VEH</th>\n",
              "      <th>PASSENGER</th>\n",
              "      <th>SPEEDING</th>\n",
              "      <th>AG_DRIV</th>\n",
              "      <th>REDLIGHT</th>\n",
              "      <th>ALCOHOL</th>\n",
              "      <th>DISABILITY</th>\n",
              "      <th>FATAL</th>\n",
              "      <th>LOCCOORD_Intersection</th>\n",
              "      <th>LOCCOORD_Mid-Block</th>\n",
              "      <th>LOCCOORD_Other</th>\n",
              "      <th>ACCLOC_At Intersection</th>\n",
              "      <th>ACCLOC_At/Near Private Drive</th>\n",
              "      <th>ACCLOC_Intersection Related</th>\n",
              "      <th>ACCLOC_Laneway</th>\n",
              "      <th>ACCLOC_Non Intersection</th>\n",
              "      <th>ACCLOC_Other</th>\n",
              "      <th>ACCLOC_Overpass or Bridge</th>\n",
              "      <th>ACCLOC_Private Driveway</th>\n",
              "      <th>ACCLOC_Trail</th>\n",
              "      <th>ACCLOC_Underpass or Tunnel</th>\n",
              "      <th>TRAFFCTL_</th>\n",
              "      <th>TRAFFCTL_No Control</th>\n",
              "      <th>TRAFFCTL_Pedestrian Crossover</th>\n",
              "      <th>TRAFFCTL_Police Control</th>\n",
              "      <th>TRAFFCTL_School Guard</th>\n",
              "      <th>TRAFFCTL_Stop Sign</th>\n",
              "      <th>TRAFFCTL_Streetcar (Stop for)</th>\n",
              "      <th>TRAFFCTL_Traffic Controller</th>\n",
              "      <th>TRAFFCTL_Traffic Gate</th>\n",
              "      <th>TRAFFCTL_Traffic Signal</th>\n",
              "      <th>TRAFFCTL_Yield Sign</th>\n",
              "      <th>IMPACTYPE_Angle</th>\n",
              "      <th>IMPACTYPE_Approaching</th>\n",
              "      <th>IMPACTYPE_Cyclist Collisions</th>\n",
              "      <th>IMPACTYPE_Other</th>\n",
              "      <th>IMPACTYPE_Pedestrian Collisions</th>\n",
              "      <th>IMPACTYPE_Rear End</th>\n",
              "      <th>IMPACTYPE_SMV Other</th>\n",
              "      <th>IMPACTYPE_SMV Unattended Vehicle</th>\n",
              "      <th>IMPACTYPE_Sideswipe</th>\n",
              "      <th>IMPACTYPE_Turning Movement</th>\n",
              "      <th>INVTYPE_Cyclist</th>\n",
              "      <th>INVTYPE_Driver</th>\n",
              "      <th>INVTYPE_Motorcycle Driver</th>\n",
              "      <th>INVTYPE_Other</th>\n",
              "      <th>INVTYPE_Passenger</th>\n",
              "      <th>INVTYPE_Pedestrian</th>\n",
              "      <th>INVTYPE_Truck Driver</th>\n",
              "      <th>INVTYPE_Vehicle Owner</th>\n",
              "      <th>VEHTYPE_Automobile, Station Wagon</th>\n",
              "      <th>VEHTYPE_Bicycle</th>\n",
              "      <th>VEHTYPE_Heavy Commercial</th>\n",
              "      <th>VEHTYPE_Large Auto</th>\n",
              "      <th>VEHTYPE_Motorcycle</th>\n",
              "      <th>VEHTYPE_NA</th>\n",
              "      <th>VEHTYPE_Other</th>\n",
              "      <th>MANOEUVER_</th>\n",
              "      <th>MANOEUVER_Changing Lanes</th>\n",
              "      <th>MANOEUVER_Disabled</th>\n",
              "      <th>MANOEUVER_Going Ahead</th>\n",
              "      <th>MANOEUVER_Making U Turn</th>\n",
              "      <th>MANOEUVER_Merging</th>\n",
              "      <th>MANOEUVER_Other</th>\n",
              "      <th>MANOEUVER_Overtaking</th>\n",
              "      <th>MANOEUVER_Parked</th>\n",
              "      <th>MANOEUVER_Pulling Away from Shoulder or Curb</th>\n",
              "      <th>MANOEUVER_Pulling Onto Shoulder or towardCurb</th>\n",
              "      <th>MANOEUVER_Reversing</th>\n",
              "      <th>MANOEUVER_Slowing or Stopping</th>\n",
              "      <th>MANOEUVER_Stopped</th>\n",
              "      <th>MANOEUVER_Turning Left</th>\n",
              "      <th>MANOEUVER_Turning Right</th>\n",
              "      <th>MANOEUVER_Unknown</th>\n",
              "      <th>DRIVACT_</th>\n",
              "      <th>DRIVACT_Disobeyed Traffic Control</th>\n",
              "      <th>DRIVACT_Driving Properly</th>\n",
              "      <th>DRIVACT_Exceeding Speed Limit</th>\n",
              "      <th>DRIVACT_Failed to Yield Right of Way</th>\n",
              "      <th>DRIVACT_Following too Close</th>\n",
              "      <th>DRIVACT_Improper Lane Change</th>\n",
              "      <th>DRIVACT_Improper Passing</th>\n",
              "      <th>DRIVACT_Improper Turn</th>\n",
              "      <th>DRIVACT_Lost control</th>\n",
              "      <th>DRIVACT_Other</th>\n",
              "      <th>DRIVACT_Speed too Fast For Condition</th>\n",
              "      <th>DRIVACT_Speed too Slow</th>\n",
              "      <th>DRIVACT_Wrong Way on One Way Road</th>\n",
              "      <th>DRIVCOND_</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Alcohol Over .08</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Drugs</th>\n",
              "      <th>DRIVCOND_Fatigue</th>\n",
              "      <th>DRIVCOND_Had Been Drinking</th>\n",
              "      <th>DRIVCOND_Inattentive</th>\n",
              "      <th>DRIVCOND_Medical or Physical Disability</th>\n",
              "      <th>DRIVCOND_Normal</th>\n",
              "      <th>DRIVCOND_Other</th>\n",
              "      <th>DRIVCOND_Unknown</th>\n",
              "      <th>PEDTYPE_</th>\n",
              "      <th>PEDTYPE_Other / Undefined</th>\n",
              "      <th>PEDTYPE_Pedestrian hit a PXO/ped. Mid-block signal</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at mid-block</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at parking lot</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at private driveway</th>\n",
              "      <th>PEDTYPE_Pedestrian hit on sidewalk or shoulder</th>\n",
              "      <th>PEDTYPE_Pedestrian involved in a collision with transit vehicle anywhere along roadway</th>\n",
              "      <th>PEDTYPE_Unknown</th>\n",
              "      <th>PEDTYPE_Vehicle hits the pedestrian walking or running out from between parked vehicles at mid-block</th>\n",
              "      <th>PEDTYPE_Vehicle is going straight thru inter.while ped cross with ROW</th>\n",
              "      <th>PEDTYPE_Vehicle is going straight thru inter.while ped cross without ROW</th>\n",
              "      <th>PEDTYPE_Vehicle is reversing and hits pedestrian</th>\n",
              "      <th>PEDTYPE_Vehicle turns left while ped crosses with ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns left while ped crosses without ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns right while ped crosses with ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns right while ped crosses without ROW at inter.</th>\n",
              "      <th>PEDACT_</th>\n",
              "      <th>PEDACT_Coming From Behind Parked Vehicle</th>\n",
              "      <th>PEDACT_Crossing marked crosswalk without ROW</th>\n",
              "      <th>PEDACT_Crossing with right of way</th>\n",
              "      <th>PEDACT_Crossing without right of way</th>\n",
              "      <th>PEDACT_Crossing, Pedestrian Crossover</th>\n",
              "      <th>PEDACT_Crossing, no Traffic Control</th>\n",
              "      <th>PEDACT_On Sidewalk or Shoulder</th>\n",
              "      <th>PEDACT_Other</th>\n",
              "      <th>PEDACT_Person Getting on/off School Bus</th>\n",
              "      <th>PEDACT_Person Getting on/off Vehicle</th>\n",
              "      <th>PEDACT_Playing or Working on Highway</th>\n",
              "      <th>PEDACT_Pushing/Working on Vehicle</th>\n",
              "      <th>PEDACT_Running onto Roadway</th>\n",
              "      <th>PEDACT_Walking on Roadway Against Traffic</th>\n",
              "      <th>PEDACT_Walking on Roadway with Traffic</th>\n",
              "      <th>PEDCOND_</th>\n",
              "      <th>PEDCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>PEDCOND_Ability Impaired, Alcohol Over .80</th>\n",
              "      <th>PEDCOND_Ability Impaired, Drugs</th>\n",
              "      <th>PEDCOND_Fatigue</th>\n",
              "      <th>PEDCOND_Had Been Drinking</th>\n",
              "      <th>PEDCOND_Inattentive</th>\n",
              "      <th>PEDCOND_Medical or Physical Disability</th>\n",
              "      <th>PEDCOND_Normal</th>\n",
              "      <th>PEDCOND_Other</th>\n",
              "      <th>PEDCOND_Unknown</th>\n",
              "      <th>CYCLISTYPE_</th>\n",
              "      <th>CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle rear-ended the other.</th>\n",
              "      <th>CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle sideswipes the other.</th>\n",
              "      <th>CYCLISTYPE_Cyclist falls off bike - no contact with motorist.</th>\n",
              "      <th>CYCLISTYPE_Cyclist loses control and strikes object (pole, ttc track)</th>\n",
              "      <th>CYCLISTYPE_Cyclist makes u-turn in-front of driver.</th>\n",
              "      <th>CYCLISTYPE_Cyclist rode off sidewalk into road at midblock.</th>\n",
              "      <th>CYCLISTYPE_Cyclist strikes a parked vehicle.</th>\n",
              "      <th>CYCLISTYPE_Cyclist strikes pedestrian.</th>\n",
              "      <th>CYCLISTYPE_Cyclist struck at PXO(cyclist either travel in same dir. as veh. or ride across xwalk)</th>\n",
              "      <th>CYCLISTYPE_Cyclist struck opened vehicle door</th>\n",
              "      <th>CYCLISTYPE_Cyclist turned left across motorists path.</th>\n",
              "      <th>CYCLISTYPE_Cyclist turns right across motorists path</th>\n",
              "      <th>CYCLISTYPE_Cyclist without ROW rides into path of motorist at inter, lnwy, dwy-Cyclist not turn.</th>\n",
              "      <th>CYCLISTYPE_Insufficient information (to determine cyclist crash type).</th>\n",
              "      <th>CYCLISTYPE_Motorist loses control and strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist makes u-turn in-front of cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist reversing struck cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turned left across cyclists path.</th>\n",
              "      <th>CYCLISTYPE_Motorist turning right on green or amber at signalized intersection strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turning right on red at signalized intersection strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turns right at non-signal Inter.(stop, yield, no cont.,and dwy) and strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist without ROW drives into path of cyclist at inter, lnwy, dwy-Driver not turn.</th>\n",
              "      <th>CYCACT_</th>\n",
              "      <th>CYCACT_Disobeyed Traffic Control</th>\n",
              "      <th>CYCACT_Driving Properly</th>\n",
              "      <th>CYCACT_Failed to Yield Right of Way</th>\n",
              "      <th>CYCACT_Following too Close</th>\n",
              "      <th>CYCACT_Improper Lane Change</th>\n",
              "      <th>CYCACT_Improper Passing</th>\n",
              "      <th>CYCACT_Improper Turn</th>\n",
              "      <th>CYCACT_Lost control</th>\n",
              "      <th>CYCACT_Other</th>\n",
              "      <th>CYCACT_Speed too Fast For Condition</th>\n",
              "      <th>CYCACT_Wrong Way on One Way Road</th>\n",
              "      <th>CYCCOND_</th>\n",
              "      <th>CYCCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>CYCCOND_Ability Impaired, Alcohol Over .80</th>\n",
              "      <th>CYCCOND_Ability Impaired, Drugs</th>\n",
              "      <th>CYCCOND_Fatigue</th>\n",
              "      <th>CYCCOND_Had Been Drinking</th>\n",
              "      <th>CYCCOND_Inattentive</th>\n",
              "      <th>CYCCOND_Medical or Physical Disability</th>\n",
              "      <th>CYCCOND_Normal</th>\n",
              "      <th>CYCCOND_Other</th>\n",
              "      <th>CYCCOND_Unknown</th>\n",
              "      <th>INJURY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\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>1</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>1</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>1</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</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>1</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>1</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",
              "      <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>1</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",
              "      <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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   WEEKDAY  ROAD_CLASS  VISIBILITY  LIGHT  RDSFCOND  INVAGE  PEDESTRIAN  \\\n",
              "0        3           1           0      2         0       5           1   \n",
              "1        6           1           0      2         0       2           1   \n",
              "2        2           1           0      2         0       6           1   \n",
              "3        6           1           0      2         0       7           1   \n",
              "4        6           1           0      2         0       6           1   \n",
              "\n",
              "   CYCLIST  AUTOMOBILE  MOTORCYCLE  TRUCK  TRSN_CITY_VEH  EMERG_VEH  \\\n",
              "0        0           0           0      0              1          0   \n",
              "1        0           1           0      0              0          0   \n",
              "2        0           1           0      0              0          0   \n",
              "3        0           1           0      0              0          0   \n",
              "4        0           1           0      0              0          0   \n",
              "\n",
              "   PASSENGER  SPEEDING  AG_DRIV  REDLIGHT  ALCOHOL  DISABILITY  FATAL  \\\n",
              "0          0         0        0         0        0           0      0   \n",
              "1          1         1        1         0        0           0      0   \n",
              "2          0         0        1         0        0           0      1   \n",
              "3          1         1        1         0        0           0      0   \n",
              "4          1         1        1         0        0           0      0   \n",
              "\n",
              "   LOCCOORD_Intersection  LOCCOORD_Mid-Block  LOCCOORD_Other  \\\n",
              "0                      0                   1               0   \n",
              "1                      1                   0               0   \n",
              "2                      1                   0               0   \n",
              "3                      1                   0               0   \n",
              "4                      1                   0               0   \n",
              "\n",
              "   ACCLOC_At Intersection  ACCLOC_At/Near Private Drive  \\\n",
              "0                       0                             0   \n",
              "1                       0                             0   \n",
              "2                       1                             0   \n",
              "3                       0                             0   \n",
              "4                       0                             0   \n",
              "\n",
              "   ACCLOC_Intersection Related  ACCLOC_Laneway  ACCLOC_Non Intersection  \\\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",
              "   ACCLOC_Other  ACCLOC_Overpass or Bridge  ACCLOC_Private Driveway  \\\n",
              "0             1                          0                        0   \n",
              "1             1                          0                        0   \n",
              "2             0                          0                        0   \n",
              "3             1                          0                        0   \n",
              "4             1                          0                        0   \n",
              "\n",
              "   ACCLOC_Trail  ACCLOC_Underpass or Tunnel  TRAFFCTL_   TRAFFCTL_No Control  \\\n",
              "0             0                           0           0                    1   \n",
              "1             0                           0           0                    1   \n",
              "2             0                           0           0                    1   \n",
              "3             0                           0           0                    1   \n",
              "4             0                           0           0                    1   \n",
              "\n",
              "   TRAFFCTL_Pedestrian Crossover  TRAFFCTL_Police Control  \\\n",
              "0                              0                        0   \n",
              "1                              0                        0   \n",
              "2                              0                        0   \n",
              "3                              0                        0   \n",
              "4                              0                        0   \n",
              "\n",
              "   TRAFFCTL_School Guard  TRAFFCTL_Stop Sign  TRAFFCTL_Streetcar (Stop for)  \\\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",
              "   TRAFFCTL_Traffic Controller  TRAFFCTL_Traffic Gate  \\\n",
              "0                            0                      0   \n",
              "1                            0                      0   \n",
              "2                            0                      0   \n",
              "3                            0                      0   \n",
              "4                            0                      0   \n",
              "\n",
              "   TRAFFCTL_Traffic Signal  TRAFFCTL_Yield Sign  IMPACTYPE_Angle  \\\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",
              "   IMPACTYPE_Approaching  IMPACTYPE_Cyclist Collisions  IMPACTYPE_Other  \\\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",
              "   IMPACTYPE_Pedestrian Collisions  IMPACTYPE_Rear End  IMPACTYPE_SMV Other  \\\n",
              "0                                1                   0                    0   \n",
              "1                                1                   0                    0   \n",
              "2                                1                   0                    0   \n",
              "3                                1                   0                    0   \n",
              "4                                1                   0                    0   \n",
              "\n",
              "   IMPACTYPE_SMV Unattended Vehicle  IMPACTYPE_Sideswipe  \\\n",
              "0                                 0                    0   \n",
              "1                                 0                    0   \n",
              "2                                 0                    0   \n",
              "3                                 0                    0   \n",
              "4                                 0                    0   \n",
              "\n",
              "   IMPACTYPE_Turning Movement  INVTYPE_Cyclist  INVTYPE_Driver  \\\n",
              "0                           0                0               1   \n",
              "1                           0                0               0   \n",
              "2                           0                0               0   \n",
              "3                           0                0               0   \n",
              "4                           0                0               1   \n",
              "\n",
              "   INVTYPE_Motorcycle Driver  INVTYPE_Other  INVTYPE_Passenger  \\\n",
              "0                          0              0                  0   \n",
              "1                          0              0                  1   \n",
              "2                          0              0                  0   \n",
              "3                          0              0                  0   \n",
              "4                          0              0                  0   \n",
              "\n",
              "   INVTYPE_Pedestrian  INVTYPE_Truck Driver  INVTYPE_Vehicle Owner  \\\n",
              "0                   0                     0                      0   \n",
              "1                   0                     0                      0   \n",
              "2                   1                     0                      0   \n",
              "3                   0                     0                      1   \n",
              "4                   0                     0                      0   \n",
              "\n",
              "   VEHTYPE_Automobile, Station Wagon  VEHTYPE_Bicycle  \\\n",
              "0                                  0                0   \n",
              "1                                  0                0   \n",
              "2                                  0                0   \n",
              "3                                  0                0   \n",
              "4                                  1                0   \n",
              "\n",
              "   VEHTYPE_Heavy Commercial  VEHTYPE_Large Auto  VEHTYPE_Motorcycle  \\\n",
              "0                         1                   0                   0   \n",
              "1                         0                   0                   0   \n",
              "2                         0                   0                   0   \n",
              "3                         0                   0                   0   \n",
              "4                         0                   0                   0   \n",
              "\n",
              "   VEHTYPE_NA  VEHTYPE_Other  MANOEUVER_   MANOEUVER_Changing Lanes  \\\n",
              "0           0              0            0                         0   \n",
              "1           0              1            1                         0   \n",
              "2           1              0            1                         0   \n",
              "3           0              1            1                         0   \n",
              "4           0              0            0                         0   \n",
              "\n",
              "   MANOEUVER_Disabled  MANOEUVER_Going Ahead  MANOEUVER_Making U Turn  \\\n",
              "0                   0                      1                        0   \n",
              "1                   0                      0                        0   \n",
              "2                   0                      0                        0   \n",
              "3                   0                      0                        0   \n",
              "4                   0                      1                        0   \n",
              "\n",
              "   MANOEUVER_Merging  MANOEUVER_Other  MANOEUVER_Overtaking  MANOEUVER_Parked  \\\n",
              "0                  0                0                     0                 0   \n",
              "1                  0                0                     0                 0   \n",
              "2                  0                0                     0                 0   \n",
              "3                  0                0                     0                 0   \n",
              "4                  0                0                     0                 0   \n",
              "\n",
              "   MANOEUVER_Pulling Away from Shoulder or Curb  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   MANOEUVER_Pulling Onto Shoulder or towardCurb  MANOEUVER_Reversing  \\\n",
              "0                                              0                    0   \n",
              "1                                              0                    0   \n",
              "2                                              0                    0   \n",
              "3                                              0                    0   \n",
              "4                                              0                    0   \n",
              "\n",
              "   MANOEUVER_Slowing or Stopping  MANOEUVER_Stopped  MANOEUVER_Turning Left  \\\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",
              "   MANOEUVER_Turning Right  MANOEUVER_Unknown  DRIVACT_   \\\n",
              "0                        0                  0          0   \n",
              "1                        0                  0          1   \n",
              "2                        0                  0          1   \n",
              "3                        0                  0          1   \n",
              "4                        0                  0          0   \n",
              "\n",
              "   DRIVACT_Disobeyed Traffic Control  DRIVACT_Driving Properly  \\\n",
              "0                                  0                         1   \n",
              "1                                  0                         0   \n",
              "2                                  0                         0   \n",
              "3                                  0                         0   \n",
              "4                                  0                         0   \n",
              "\n",
              "   DRIVACT_Exceeding Speed Limit  DRIVACT_Failed to Yield Right of Way  \\\n",
              "0                              0                                     0   \n",
              "1                              0                                     0   \n",
              "2                              0                                     0   \n",
              "3                              0                                     0   \n",
              "4                              0                                     1   \n",
              "\n",
              "   DRIVACT_Following too Close  DRIVACT_Improper Lane Change  \\\n",
              "0                            0                             0   \n",
              "1                            0                             0   \n",
              "2                            0                             0   \n",
              "3                            0                             0   \n",
              "4                            0                             0   \n",
              "\n",
              "   DRIVACT_Improper Passing  DRIVACT_Improper Turn  DRIVACT_Lost control  \\\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",
              "   DRIVACT_Other  DRIVACT_Speed too Fast For Condition  \\\n",
              "0              0                                     0   \n",
              "1              0                                     0   \n",
              "2              0                                     0   \n",
              "3              0                                     0   \n",
              "4              0                                     0   \n",
              "\n",
              "   DRIVACT_Speed too Slow  DRIVACT_Wrong Way on One Way Road  DRIVCOND_   \\\n",
              "0                       0                                  0           0   \n",
              "1                       0                                  0           1   \n",
              "2                       0                                  0           1   \n",
              "3                       0                                  0           1   \n",
              "4                       0                                  0           0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Alcohol  \\\n",
              "0                                   0   \n",
              "1                                   0   \n",
              "2                                   0   \n",
              "3                                   0   \n",
              "4                                   0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Alcohol Over .08  \\\n",
              "0                                            0   \n",
              "1                                            0   \n",
              "2                                            0   \n",
              "3                                            0   \n",
              "4                                            0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Drugs  DRIVCOND_Fatigue  \\\n",
              "0                                 0                 0   \n",
              "1                                 0                 0   \n",
              "2                                 0                 0   \n",
              "3                                 0                 0   \n",
              "4                                 0                 0   \n",
              "\n",
              "   DRIVCOND_Had Been Drinking  DRIVCOND_Inattentive  \\\n",
              "0                           0                     0   \n",
              "1                           0                     0   \n",
              "2                           0                     0   \n",
              "3                           0                     0   \n",
              "4                           0                     0   \n",
              "\n",
              "   DRIVCOND_Medical or Physical Disability  DRIVCOND_Normal  DRIVCOND_Other  \\\n",
              "0                                        0                1               0   \n",
              "1                                        0                0               0   \n",
              "2                                        0                0               0   \n",
              "3                                        0                0               0   \n",
              "4                                        0                1               0   \n",
              "\n",
              "   DRIVCOND_Unknown  PEDTYPE_   PEDTYPE_Other / Undefined  \\\n",
              "0                 0          1                          0   \n",
              "1                 0          1                          0   \n",
              "2                 0          0                          0   \n",
              "3                 0          1                          0   \n",
              "4                 0          1                          0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit a PXO/ped. Mid-block signal  \\\n",
              "0                                                  0    \n",
              "1                                                  0    \n",
              "2                                                  0    \n",
              "3                                                  0    \n",
              "4                                                  0    \n",
              "\n",
              "   PEDTYPE_Pedestrian hit at mid-block  PEDTYPE_Pedestrian hit at parking lot  \\\n",
              "0                                    0                                      0   \n",
              "1                                    0                                      0   \n",
              "2                                    0                                      0   \n",
              "3                                    0                                      0   \n",
              "4                                    0                                      0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit at private driveway  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit on sidewalk or shoulder  \\\n",
              "0                                               0   \n",
              "1                                               0   \n",
              "2                                               0   \n",
              "3                                               0   \n",
              "4                                               0   \n",
              "\n",
              "   PEDTYPE_Pedestrian involved in a collision with transit vehicle anywhere along roadway  \\\n",
              "0                                                  0                                        \n",
              "1                                                  0                                        \n",
              "2                                                  0                                        \n",
              "3                                                  0                                        \n",
              "4                                                  0                                        \n",
              "\n",
              "   PEDTYPE_Unknown  \\\n",
              "0                0   \n",
              "1                0   \n",
              "2                0   \n",
              "3                0   \n",
              "4                0   \n",
              "\n",
              "   PEDTYPE_Vehicle hits the pedestrian walking or running out from between parked vehicles at mid-block  \\\n",
              "0                                                  0                                                      \n",
              "1                                                  0                                                      \n",
              "2                                                  0                                                      \n",
              "3                                                  0                                                      \n",
              "4                                                  0                                                      \n",
              "\n",
              "   PEDTYPE_Vehicle is going straight thru inter.while ped cross with ROW  \\\n",
              "0                                                  0                       \n",
              "1                                                  0                       \n",
              "2                                                  1                       \n",
              "3                                                  0                       \n",
              "4                                                  0                       \n",
              "\n",
              "   PEDTYPE_Vehicle is going straight thru inter.while ped cross without ROW  \\\n",
              "0                                                  0                          \n",
              "1                                                  0                          \n",
              "2                                                  0                          \n",
              "3                                                  0                          \n",
              "4                                                  0                          \n",
              "\n",
              "   PEDTYPE_Vehicle is reversing and hits pedestrian  \\\n",
              "0                                                 0   \n",
              "1                                                 0   \n",
              "2                                                 0   \n",
              "3                                                 0   \n",
              "4                                                 0   \n",
              "\n",
              "   PEDTYPE_Vehicle turns left while ped crosses with ROW at inter.  \\\n",
              "0                                                  0                 \n",
              "1                                                  0                 \n",
              "2                                                  0                 \n",
              "3                                                  0                 \n",
              "4                                                  0                 \n",
              "\n",
              "   PEDTYPE_Vehicle turns left while ped crosses without ROW at inter.  \\\n",
              "0                                                  0                    \n",
              "1                                                  0                    \n",
              "2                                                  0                    \n",
              "3                                                  0                    \n",
              "4                                                  0                    \n",
              "\n",
              "   PEDTYPE_Vehicle turns right while ped crosses with ROW at inter.  \\\n",
              "0                                                  0                  \n",
              "1                                                  0                  \n",
              "2                                                  0                  \n",
              "3                                                  0                  \n",
              "4                                                  0                  \n",
              "\n",
              "   PEDTYPE_Vehicle turns right while ped crosses without ROW at inter.  \\\n",
              "0                                                  0                     \n",
              "1                                                  0                     \n",
              "2                                                  0                     \n",
              "3                                                  0                     \n",
              "4                                                  0                     \n",
              "\n",
              "   PEDACT_   PEDACT_Coming From Behind Parked Vehicle  \\\n",
              "0         1                                         0   \n",
              "1         1                                         0   \n",
              "2         0                                         0   \n",
              "3         1                                         0   \n",
              "4         1                                         0   \n",
              "\n",
              "   PEDACT_Crossing marked crosswalk without ROW  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   PEDACT_Crossing with right of way  PEDACT_Crossing without right of way  \\\n",
              "0                                  0                                     0   \n",
              "1                                  0                                     0   \n",
              "2                                  0                                     0   \n",
              "3                                  0                                     0   \n",
              "4                                  0                                     0   \n",
              "\n",
              "   PEDACT_Crossing, Pedestrian Crossover  PEDACT_Crossing, no Traffic Control  \\\n",
              "0                                      0                                    0   \n",
              "1                                      0                                    0   \n",
              "2                                      0                                    1   \n",
              "3                                      0                                    0   \n",
              "4                                      0                                    0   \n",
              "\n",
              "   PEDACT_On Sidewalk or Shoulder  PEDACT_Other  \\\n",
              "0                               0             0   \n",
              "1                               0             0   \n",
              "2                               0             0   \n",
              "3                               0             0   \n",
              "4                               0             0   \n",
              "\n",
              "   PEDACT_Person Getting on/off School Bus  \\\n",
              "0                                        0   \n",
              "1                                        0   \n",
              "2                                        0   \n",
              "3                                        0   \n",
              "4                                        0   \n",
              "\n",
              "   PEDACT_Person Getting on/off Vehicle  PEDACT_Playing or Working on Highway  \\\n",
              "0                                     0                                     0   \n",
              "1                                     0                                     0   \n",
              "2                                     0                                     0   \n",
              "3                                     0                                     0   \n",
              "4                                     0                                     0   \n",
              "\n",
              "   PEDACT_Pushing/Working on Vehicle  PEDACT_Running onto Roadway  \\\n",
              "0                                  0                            0   \n",
              "1                                  0                            0   \n",
              "2                                  0                            0   \n",
              "3                                  0                            0   \n",
              "4                                  0                            0   \n",
              "\n",
              "   PEDACT_Walking on Roadway Against Traffic  \\\n",
              "0                                          0   \n",
              "1                                          0   \n",
              "2                                          0   \n",
              "3                                          0   \n",
              "4                                          0   \n",
              "\n",
              "   PEDACT_Walking on Roadway with Traffic  PEDCOND_   \\\n",
              "0                                       0          1   \n",
              "1                                       0          1   \n",
              "2                                       0          0   \n",
              "3                                       0          1   \n",
              "4                                       0          1   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Alcohol  \\\n",
              "0                                  0   \n",
              "1                                  0   \n",
              "2                                  0   \n",
              "3                                  0   \n",
              "4                                  0   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Alcohol Over .80  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Drugs  PEDCOND_Fatigue  \\\n",
              "0                                0                0   \n",
              "1                                0                0   \n",
              "2                                0                0   \n",
              "3                                0                0   \n",
              "4                                0                0   \n",
              "\n",
              "   PEDCOND_Had Been Drinking  PEDCOND_Inattentive  \\\n",
              "0                          0                    0   \n",
              "1                          0                    0   \n",
              "2                          0                    0   \n",
              "3                          0                    0   \n",
              "4                          0                    0   \n",
              "\n",
              "   PEDCOND_Medical or Physical Disability  PEDCOND_Normal  PEDCOND_Other  \\\n",
              "0                                       0               0              0   \n",
              "1                                       0               0              0   \n",
              "2                                       0               1              0   \n",
              "3                                       0               0              0   \n",
              "4                                       0               0              0   \n",
              "\n",
              "   PEDCOND_Unknown  CYCLISTYPE_   \\\n",
              "0                0             1   \n",
              "1                0             1   \n",
              "2                0             1   \n",
              "3                0             1   \n",
              "4                0             1   \n",
              "\n",
              "   CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle rear-ended the other.  \\\n",
              "0                                                  0                                               \n",
              "1                                                  0                                               \n",
              "2                                                  0                                               \n",
              "3                                                  0                                               \n",
              "4                                                  0                                               \n",
              "\n",
              "   CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle sideswipes the other.  \\\n",
              "0                                                  0                                               \n",
              "1                                                  0                                               \n",
              "2                                                  0                                               \n",
              "3                                                  0                                               \n",
              "4                                                  0                                               \n",
              "\n",
              "   CYCLISTYPE_Cyclist falls off bike - no contact with motorist.  \\\n",
              "0                                                  0               \n",
              "1                                                  0               \n",
              "2                                                  0               \n",
              "3                                                  0               \n",
              "4                                                  0               \n",
              "\n",
              "   CYCLISTYPE_Cyclist loses control and strikes object (pole, ttc track)  \\\n",
              "0                                                  0                       \n",
              "1                                                  0                       \n",
              "2                                                  0                       \n",
              "3                                                  0                       \n",
              "4                                                  0                       \n",
              "\n",
              "   CYCLISTYPE_Cyclist makes u-turn in-front of driver.  \\\n",
              "0                                                  0     \n",
              "1                                                  0     \n",
              "2                                                  0     \n",
              "3                                                  0     \n",
              "4                                                  0     \n",
              "\n",
              "   CYCLISTYPE_Cyclist rode off sidewalk into road at midblock.  \\\n",
              "0                                                  0             \n",
              "1                                                  0             \n",
              "2                                                  0             \n",
              "3                                                  0             \n",
              "4                                                  0             \n",
              "\n",
              "   CYCLISTYPE_Cyclist strikes a parked vehicle.  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist strikes pedestrian.  \\\n",
              "0                                       0   \n",
              "1                                       0   \n",
              "2                                       0   \n",
              "3                                       0   \n",
              "4                                       0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist struck at PXO(cyclist either travel in same dir. as veh. or ride across xwalk)  \\\n",
              "0                                                  0                                                   \n",
              "1                                                  0                                                   \n",
              "2                                                  0                                                   \n",
              "3                                                  0                                                   \n",
              "4                                                  0                                                   \n",
              "\n",
              "   CYCLISTYPE_Cyclist struck opened vehicle door  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                              0   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist turned left across motorists path.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Cyclist turns right across motorists path  \\\n",
              "0                                                  0      \n",
              "1                                                  0      \n",
              "2                                                  0      \n",
              "3                                                  0      \n",
              "4                                                  0      \n",
              "\n",
              "   CYCLISTYPE_Cyclist without ROW rides into path of motorist at inter, lnwy, dwy-Cyclist not turn.  \\\n",
              "0                                                  0                                                  \n",
              "1                                                  0                                                  \n",
              "2                                                  0                                                  \n",
              "3                                                  0                                                  \n",
              "4                                                  0                                                  \n",
              "\n",
              "   CYCLISTYPE_Insufficient information (to determine cyclist crash type).  \\\n",
              "0                                                  0                        \n",
              "1                                                  0                        \n",
              "2                                                  0                        \n",
              "3                                                  0                        \n",
              "4                                                  0                        \n",
              "\n",
              "   CYCLISTYPE_Motorist loses control and strikes cyclist.  \\\n",
              "0                                                  0        \n",
              "1                                                  0        \n",
              "2                                                  0        \n",
              "3                                                  0        \n",
              "4                                                  0        \n",
              "\n",
              "   CYCLISTYPE_Motorist makes u-turn in-front of cyclist.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Motorist reversing struck cyclist.  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                              0   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   CYCLISTYPE_Motorist turned left across cyclists path.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Motorist turning right on green or amber at signalized intersection strikes cyclist.  \\\n",
              "0                                                  0                                                 \n",
              "1                                                  0                                                 \n",
              "2                                                  0                                                 \n",
              "3                                                  0                                                 \n",
              "4                                                  0                                                 \n",
              "\n",
              "   CYCLISTYPE_Motorist turning right on red at signalized intersection strikes cyclist.  \\\n",
              "0                                                  0                                      \n",
              "1                                                  0                                      \n",
              "2                                                  0                                      \n",
              "3                                                  0                                      \n",
              "4                                                  0                                      \n",
              "\n",
              "   CYCLISTYPE_Motorist turns right at non-signal Inter.(stop, yield, no cont.,and dwy) and strikes cyclist.  \\\n",
              "0                                                  0                                                          \n",
              "1                                                  0                                                          \n",
              "2                                                  0                                                          \n",
              "3                                                  0                                                          \n",
              "4                                                  0                                                          \n",
              "\n",
              "   CYCLISTYPE_Motorist without ROW drives into path of cyclist at inter, lnwy, dwy-Driver not turn.  \\\n",
              "0                                                  0                                                  \n",
              "1                                                  0                                                  \n",
              "2                                                  0                                                  \n",
              "3                                                  0                                                  \n",
              "4                                                  0                                                  \n",
              "\n",
              "   CYCACT_   CYCACT_Disobeyed Traffic Control  CYCACT_Driving Properly  \\\n",
              "0         1                                 0                        0   \n",
              "1         1                                 0                        0   \n",
              "2         1                                 0                        0   \n",
              "3         1                                 0                        0   \n",
              "4         1                                 0                        0   \n",
              "\n",
              "   CYCACT_Failed to Yield Right of Way  CYCACT_Following too Close  \\\n",
              "0                                    0                           0   \n",
              "1                                    0                           0   \n",
              "2                                    0                           0   \n",
              "3                                    0                           0   \n",
              "4                                    0                           0   \n",
              "\n",
              "   CYCACT_Improper Lane Change  CYCACT_Improper Passing  CYCACT_Improper Turn  \\\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",
              "   CYCACT_Lost control  CYCACT_Other  CYCACT_Speed too Fast For Condition  \\\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",
              "   CYCACT_Wrong Way on One Way Road  CYCCOND_   \\\n",
              "0                                 0          1   \n",
              "1                                 0          1   \n",
              "2                                 0          1   \n",
              "3                                 0          1   \n",
              "4                                 0          1   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Alcohol  \\\n",
              "0                                  0   \n",
              "1                                  0   \n",
              "2                                  0   \n",
              "3                                  0   \n",
              "4                                  0   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Alcohol Over .80  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Drugs  CYCCOND_Fatigue  \\\n",
              "0                                0                0   \n",
              "1                                0                0   \n",
              "2                                0                0   \n",
              "3                                0                0   \n",
              "4                                0                0   \n",
              "\n",
              "   CYCCOND_Had Been Drinking  CYCCOND_Inattentive  \\\n",
              "0                          0                    0   \n",
              "1                          0                    0   \n",
              "2                          0                    0   \n",
              "3                          0                    0   \n",
              "4                          0                    0   \n",
              "\n",
              "   CYCCOND_Medical or Physical Disability  CYCCOND_Normal  CYCCOND_Other  \\\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",
              "   CYCCOND_Unknown  INJURY  \n",
              "0                0       0  \n",
              "1                0       1  \n",
              "2                0       3  \n",
              "3                0       0  \n",
              "4                0       0  "
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DUQtMwtFnV3S"
      },
      "source": [
        "y = data.iloc[:,-1]\n",
        "X = data.iloc[:,6:-2]"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 341
        },
        "id": "1kr23ZENnV3S",
        "outputId": "14cbffb4-fb61-4534-af94-93c55e93d355"
      },
      "source": [
        "X.head()"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PEDESTRIAN</th>\n",
              "      <th>CYCLIST</th>\n",
              "      <th>AUTOMOBILE</th>\n",
              "      <th>MOTORCYCLE</th>\n",
              "      <th>TRUCK</th>\n",
              "      <th>TRSN_CITY_VEH</th>\n",
              "      <th>EMERG_VEH</th>\n",
              "      <th>PASSENGER</th>\n",
              "      <th>SPEEDING</th>\n",
              "      <th>AG_DRIV</th>\n",
              "      <th>REDLIGHT</th>\n",
              "      <th>ALCOHOL</th>\n",
              "      <th>DISABILITY</th>\n",
              "      <th>FATAL</th>\n",
              "      <th>LOCCOORD_Intersection</th>\n",
              "      <th>LOCCOORD_Mid-Block</th>\n",
              "      <th>LOCCOORD_Other</th>\n",
              "      <th>ACCLOC_At Intersection</th>\n",
              "      <th>ACCLOC_At/Near Private Drive</th>\n",
              "      <th>ACCLOC_Intersection Related</th>\n",
              "      <th>ACCLOC_Laneway</th>\n",
              "      <th>ACCLOC_Non Intersection</th>\n",
              "      <th>ACCLOC_Other</th>\n",
              "      <th>ACCLOC_Overpass or Bridge</th>\n",
              "      <th>ACCLOC_Private Driveway</th>\n",
              "      <th>ACCLOC_Trail</th>\n",
              "      <th>ACCLOC_Underpass or Tunnel</th>\n",
              "      <th>TRAFFCTL_</th>\n",
              "      <th>TRAFFCTL_No Control</th>\n",
              "      <th>TRAFFCTL_Pedestrian Crossover</th>\n",
              "      <th>TRAFFCTL_Police Control</th>\n",
              "      <th>TRAFFCTL_School Guard</th>\n",
              "      <th>TRAFFCTL_Stop Sign</th>\n",
              "      <th>TRAFFCTL_Streetcar (Stop for)</th>\n",
              "      <th>TRAFFCTL_Traffic Controller</th>\n",
              "      <th>TRAFFCTL_Traffic Gate</th>\n",
              "      <th>TRAFFCTL_Traffic Signal</th>\n",
              "      <th>TRAFFCTL_Yield Sign</th>\n",
              "      <th>IMPACTYPE_Angle</th>\n",
              "      <th>IMPACTYPE_Approaching</th>\n",
              "      <th>IMPACTYPE_Cyclist Collisions</th>\n",
              "      <th>IMPACTYPE_Other</th>\n",
              "      <th>IMPACTYPE_Pedestrian Collisions</th>\n",
              "      <th>IMPACTYPE_Rear End</th>\n",
              "      <th>IMPACTYPE_SMV Other</th>\n",
              "      <th>IMPACTYPE_SMV Unattended Vehicle</th>\n",
              "      <th>IMPACTYPE_Sideswipe</th>\n",
              "      <th>IMPACTYPE_Turning Movement</th>\n",
              "      <th>INVTYPE_Cyclist</th>\n",
              "      <th>INVTYPE_Driver</th>\n",
              "      <th>INVTYPE_Motorcycle Driver</th>\n",
              "      <th>INVTYPE_Other</th>\n",
              "      <th>INVTYPE_Passenger</th>\n",
              "      <th>INVTYPE_Pedestrian</th>\n",
              "      <th>INVTYPE_Truck Driver</th>\n",
              "      <th>INVTYPE_Vehicle Owner</th>\n",
              "      <th>VEHTYPE_Automobile, Station Wagon</th>\n",
              "      <th>VEHTYPE_Bicycle</th>\n",
              "      <th>VEHTYPE_Heavy Commercial</th>\n",
              "      <th>VEHTYPE_Large Auto</th>\n",
              "      <th>VEHTYPE_Motorcycle</th>\n",
              "      <th>VEHTYPE_NA</th>\n",
              "      <th>VEHTYPE_Other</th>\n",
              "      <th>MANOEUVER_</th>\n",
              "      <th>MANOEUVER_Changing Lanes</th>\n",
              "      <th>MANOEUVER_Disabled</th>\n",
              "      <th>MANOEUVER_Going Ahead</th>\n",
              "      <th>MANOEUVER_Making U Turn</th>\n",
              "      <th>MANOEUVER_Merging</th>\n",
              "      <th>MANOEUVER_Other</th>\n",
              "      <th>MANOEUVER_Overtaking</th>\n",
              "      <th>MANOEUVER_Parked</th>\n",
              "      <th>MANOEUVER_Pulling Away from Shoulder or Curb</th>\n",
              "      <th>MANOEUVER_Pulling Onto Shoulder or towardCurb</th>\n",
              "      <th>MANOEUVER_Reversing</th>\n",
              "      <th>MANOEUVER_Slowing or Stopping</th>\n",
              "      <th>MANOEUVER_Stopped</th>\n",
              "      <th>MANOEUVER_Turning Left</th>\n",
              "      <th>MANOEUVER_Turning Right</th>\n",
              "      <th>MANOEUVER_Unknown</th>\n",
              "      <th>DRIVACT_</th>\n",
              "      <th>DRIVACT_Disobeyed Traffic Control</th>\n",
              "      <th>DRIVACT_Driving Properly</th>\n",
              "      <th>DRIVACT_Exceeding Speed Limit</th>\n",
              "      <th>DRIVACT_Failed to Yield Right of Way</th>\n",
              "      <th>DRIVACT_Following too Close</th>\n",
              "      <th>DRIVACT_Improper Lane Change</th>\n",
              "      <th>DRIVACT_Improper Passing</th>\n",
              "      <th>DRIVACT_Improper Turn</th>\n",
              "      <th>DRIVACT_Lost control</th>\n",
              "      <th>DRIVACT_Other</th>\n",
              "      <th>DRIVACT_Speed too Fast For Condition</th>\n",
              "      <th>DRIVACT_Speed too Slow</th>\n",
              "      <th>DRIVACT_Wrong Way on One Way Road</th>\n",
              "      <th>DRIVCOND_</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Alcohol Over .08</th>\n",
              "      <th>DRIVCOND_Ability Impaired, Drugs</th>\n",
              "      <th>DRIVCOND_Fatigue</th>\n",
              "      <th>DRIVCOND_Had Been Drinking</th>\n",
              "      <th>DRIVCOND_Inattentive</th>\n",
              "      <th>DRIVCOND_Medical or Physical Disability</th>\n",
              "      <th>DRIVCOND_Normal</th>\n",
              "      <th>DRIVCOND_Other</th>\n",
              "      <th>DRIVCOND_Unknown</th>\n",
              "      <th>PEDTYPE_</th>\n",
              "      <th>PEDTYPE_Other / Undefined</th>\n",
              "      <th>PEDTYPE_Pedestrian hit a PXO/ped. Mid-block signal</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at mid-block</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at parking lot</th>\n",
              "      <th>PEDTYPE_Pedestrian hit at private driveway</th>\n",
              "      <th>PEDTYPE_Pedestrian hit on sidewalk or shoulder</th>\n",
              "      <th>PEDTYPE_Pedestrian involved in a collision with transit vehicle anywhere along roadway</th>\n",
              "      <th>PEDTYPE_Unknown</th>\n",
              "      <th>PEDTYPE_Vehicle hits the pedestrian walking or running out from between parked vehicles at mid-block</th>\n",
              "      <th>PEDTYPE_Vehicle is going straight thru inter.while ped cross with ROW</th>\n",
              "      <th>PEDTYPE_Vehicle is going straight thru inter.while ped cross without ROW</th>\n",
              "      <th>PEDTYPE_Vehicle is reversing and hits pedestrian</th>\n",
              "      <th>PEDTYPE_Vehicle turns left while ped crosses with ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns left while ped crosses without ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns right while ped crosses with ROW at inter.</th>\n",
              "      <th>PEDTYPE_Vehicle turns right while ped crosses without ROW at inter.</th>\n",
              "      <th>PEDACT_</th>\n",
              "      <th>PEDACT_Coming From Behind Parked Vehicle</th>\n",
              "      <th>PEDACT_Crossing marked crosswalk without ROW</th>\n",
              "      <th>PEDACT_Crossing with right of way</th>\n",
              "      <th>PEDACT_Crossing without right of way</th>\n",
              "      <th>PEDACT_Crossing, Pedestrian Crossover</th>\n",
              "      <th>PEDACT_Crossing, no Traffic Control</th>\n",
              "      <th>PEDACT_On Sidewalk or Shoulder</th>\n",
              "      <th>PEDACT_Other</th>\n",
              "      <th>PEDACT_Person Getting on/off School Bus</th>\n",
              "      <th>PEDACT_Person Getting on/off Vehicle</th>\n",
              "      <th>PEDACT_Playing or Working on Highway</th>\n",
              "      <th>PEDACT_Pushing/Working on Vehicle</th>\n",
              "      <th>PEDACT_Running onto Roadway</th>\n",
              "      <th>PEDACT_Walking on Roadway Against Traffic</th>\n",
              "      <th>PEDACT_Walking on Roadway with Traffic</th>\n",
              "      <th>PEDCOND_</th>\n",
              "      <th>PEDCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>PEDCOND_Ability Impaired, Alcohol Over .80</th>\n",
              "      <th>PEDCOND_Ability Impaired, Drugs</th>\n",
              "      <th>PEDCOND_Fatigue</th>\n",
              "      <th>PEDCOND_Had Been Drinking</th>\n",
              "      <th>PEDCOND_Inattentive</th>\n",
              "      <th>PEDCOND_Medical or Physical Disability</th>\n",
              "      <th>PEDCOND_Normal</th>\n",
              "      <th>PEDCOND_Other</th>\n",
              "      <th>PEDCOND_Unknown</th>\n",
              "      <th>CYCLISTYPE_</th>\n",
              "      <th>CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle rear-ended the other.</th>\n",
              "      <th>CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle sideswipes the other.</th>\n",
              "      <th>CYCLISTYPE_Cyclist falls off bike - no contact with motorist.</th>\n",
              "      <th>CYCLISTYPE_Cyclist loses control and strikes object (pole, ttc track)</th>\n",
              "      <th>CYCLISTYPE_Cyclist makes u-turn in-front of driver.</th>\n",
              "      <th>CYCLISTYPE_Cyclist rode off sidewalk into road at midblock.</th>\n",
              "      <th>CYCLISTYPE_Cyclist strikes a parked vehicle.</th>\n",
              "      <th>CYCLISTYPE_Cyclist strikes pedestrian.</th>\n",
              "      <th>CYCLISTYPE_Cyclist struck at PXO(cyclist either travel in same dir. as veh. or ride across xwalk)</th>\n",
              "      <th>CYCLISTYPE_Cyclist struck opened vehicle door</th>\n",
              "      <th>CYCLISTYPE_Cyclist turned left across motorists path.</th>\n",
              "      <th>CYCLISTYPE_Cyclist turns right across motorists path</th>\n",
              "      <th>CYCLISTYPE_Cyclist without ROW rides into path of motorist at inter, lnwy, dwy-Cyclist not turn.</th>\n",
              "      <th>CYCLISTYPE_Insufficient information (to determine cyclist crash type).</th>\n",
              "      <th>CYCLISTYPE_Motorist loses control and strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist makes u-turn in-front of cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist reversing struck cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turned left across cyclists path.</th>\n",
              "      <th>CYCLISTYPE_Motorist turning right on green or amber at signalized intersection strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turning right on red at signalized intersection strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist turns right at non-signal Inter.(stop, yield, no cont.,and dwy) and strikes cyclist.</th>\n",
              "      <th>CYCLISTYPE_Motorist without ROW drives into path of cyclist at inter, lnwy, dwy-Driver not turn.</th>\n",
              "      <th>CYCACT_</th>\n",
              "      <th>CYCACT_Disobeyed Traffic Control</th>\n",
              "      <th>CYCACT_Driving Properly</th>\n",
              "      <th>CYCACT_Failed to Yield Right of Way</th>\n",
              "      <th>CYCACT_Following too Close</th>\n",
              "      <th>CYCACT_Improper Lane Change</th>\n",
              "      <th>CYCACT_Improper Passing</th>\n",
              "      <th>CYCACT_Improper Turn</th>\n",
              "      <th>CYCACT_Lost control</th>\n",
              "      <th>CYCACT_Other</th>\n",
              "      <th>CYCACT_Speed too Fast For Condition</th>\n",
              "      <th>CYCACT_Wrong Way on One Way Road</th>\n",
              "      <th>CYCCOND_</th>\n",
              "      <th>CYCCOND_Ability Impaired, Alcohol</th>\n",
              "      <th>CYCCOND_Ability Impaired, Alcohol Over .80</th>\n",
              "      <th>CYCCOND_Ability Impaired, Drugs</th>\n",
              "      <th>CYCCOND_Fatigue</th>\n",
              "      <th>CYCCOND_Had Been Drinking</th>\n",
              "      <th>CYCCOND_Inattentive</th>\n",
              "      <th>CYCCOND_Medical or Physical Disability</th>\n",
              "      <th>CYCCOND_Normal</th>\n",
              "      <th>CYCCOND_Other</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</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>1</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>1</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",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
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              "      <td>0</td>\n",
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              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
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              "      <td>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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</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",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</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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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</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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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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>1</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>1</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>1</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",
              "      <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>1</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",
              "      <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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <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>1</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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>1</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",
              "      <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",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "      <td>0</td>\n",
              "      <td>1</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",
              "</div>"
            ],
            "text/plain": [
              "   PEDESTRIAN  CYCLIST  AUTOMOBILE  MOTORCYCLE  TRUCK  TRSN_CITY_VEH  \\\n",
              "0           1        0           0           0      0              1   \n",
              "1           1        0           1           0      0              0   \n",
              "2           1        0           1           0      0              0   \n",
              "3           1        0           1           0      0              0   \n",
              "4           1        0           1           0      0              0   \n",
              "\n",
              "   EMERG_VEH  PASSENGER  SPEEDING  AG_DRIV  REDLIGHT  ALCOHOL  DISABILITY  \\\n",
              "0          0          0         0        0         0        0           0   \n",
              "1          0          1         1        1         0        0           0   \n",
              "2          0          0         0        1         0        0           0   \n",
              "3          0          1         1        1         0        0           0   \n",
              "4          0          1         1        1         0        0           0   \n",
              "\n",
              "   FATAL  LOCCOORD_Intersection  LOCCOORD_Mid-Block  LOCCOORD_Other  \\\n",
              "0      0                      0                   1               0   \n",
              "1      0                      1                   0               0   \n",
              "2      1                      1                   0               0   \n",
              "3      0                      1                   0               0   \n",
              "4      0                      1                   0               0   \n",
              "\n",
              "   ACCLOC_At Intersection  ACCLOC_At/Near Private Drive  \\\n",
              "0                       0                             0   \n",
              "1                       0                             0   \n",
              "2                       1                             0   \n",
              "3                       0                             0   \n",
              "4                       0                             0   \n",
              "\n",
              "   ACCLOC_Intersection Related  ACCLOC_Laneway  ACCLOC_Non Intersection  \\\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",
              "   ACCLOC_Other  ACCLOC_Overpass or Bridge  ACCLOC_Private Driveway  \\\n",
              "0             1                          0                        0   \n",
              "1             1                          0                        0   \n",
              "2             0                          0                        0   \n",
              "3             1                          0                        0   \n",
              "4             1                          0                        0   \n",
              "\n",
              "   ACCLOC_Trail  ACCLOC_Underpass or Tunnel  TRAFFCTL_   TRAFFCTL_No Control  \\\n",
              "0             0                           0           0                    1   \n",
              "1             0                           0           0                    1   \n",
              "2             0                           0           0                    1   \n",
              "3             0                           0           0                    1   \n",
              "4             0                           0           0                    1   \n",
              "\n",
              "   TRAFFCTL_Pedestrian Crossover  TRAFFCTL_Police Control  \\\n",
              "0                              0                        0   \n",
              "1                              0                        0   \n",
              "2                              0                        0   \n",
              "3                              0                        0   \n",
              "4                              0                        0   \n",
              "\n",
              "   TRAFFCTL_School Guard  TRAFFCTL_Stop Sign  TRAFFCTL_Streetcar (Stop for)  \\\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",
              "   TRAFFCTL_Traffic Controller  TRAFFCTL_Traffic Gate  \\\n",
              "0                            0                      0   \n",
              "1                            0                      0   \n",
              "2                            0                      0   \n",
              "3                            0                      0   \n",
              "4                            0                      0   \n",
              "\n",
              "   TRAFFCTL_Traffic Signal  TRAFFCTL_Yield Sign  IMPACTYPE_Angle  \\\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",
              "   IMPACTYPE_Approaching  IMPACTYPE_Cyclist Collisions  IMPACTYPE_Other  \\\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",
              "   IMPACTYPE_Pedestrian Collisions  IMPACTYPE_Rear End  IMPACTYPE_SMV Other  \\\n",
              "0                                1                   0                    0   \n",
              "1                                1                   0                    0   \n",
              "2                                1                   0                    0   \n",
              "3                                1                   0                    0   \n",
              "4                                1                   0                    0   \n",
              "\n",
              "   IMPACTYPE_SMV Unattended Vehicle  IMPACTYPE_Sideswipe  \\\n",
              "0                                 0                    0   \n",
              "1                                 0                    0   \n",
              "2                                 0                    0   \n",
              "3                                 0                    0   \n",
              "4                                 0                    0   \n",
              "\n",
              "   IMPACTYPE_Turning Movement  INVTYPE_Cyclist  INVTYPE_Driver  \\\n",
              "0                           0                0               1   \n",
              "1                           0                0               0   \n",
              "2                           0                0               0   \n",
              "3                           0                0               0   \n",
              "4                           0                0               1   \n",
              "\n",
              "   INVTYPE_Motorcycle Driver  INVTYPE_Other  INVTYPE_Passenger  \\\n",
              "0                          0              0                  0   \n",
              "1                          0              0                  1   \n",
              "2                          0              0                  0   \n",
              "3                          0              0                  0   \n",
              "4                          0              0                  0   \n",
              "\n",
              "   INVTYPE_Pedestrian  INVTYPE_Truck Driver  INVTYPE_Vehicle Owner  \\\n",
              "0                   0                     0                      0   \n",
              "1                   0                     0                      0   \n",
              "2                   1                     0                      0   \n",
              "3                   0                     0                      1   \n",
              "4                   0                     0                      0   \n",
              "\n",
              "   VEHTYPE_Automobile, Station Wagon  VEHTYPE_Bicycle  \\\n",
              "0                                  0                0   \n",
              "1                                  0                0   \n",
              "2                                  0                0   \n",
              "3                                  0                0   \n",
              "4                                  1                0   \n",
              "\n",
              "   VEHTYPE_Heavy Commercial  VEHTYPE_Large Auto  VEHTYPE_Motorcycle  \\\n",
              "0                         1                   0                   0   \n",
              "1                         0                   0                   0   \n",
              "2                         0                   0                   0   \n",
              "3                         0                   0                   0   \n",
              "4                         0                   0                   0   \n",
              "\n",
              "   VEHTYPE_NA  VEHTYPE_Other  MANOEUVER_   MANOEUVER_Changing Lanes  \\\n",
              "0           0              0            0                         0   \n",
              "1           0              1            1                         0   \n",
              "2           1              0            1                         0   \n",
              "3           0              1            1                         0   \n",
              "4           0              0            0                         0   \n",
              "\n",
              "   MANOEUVER_Disabled  MANOEUVER_Going Ahead  MANOEUVER_Making U Turn  \\\n",
              "0                   0                      1                        0   \n",
              "1                   0                      0                        0   \n",
              "2                   0                      0                        0   \n",
              "3                   0                      0                        0   \n",
              "4                   0                      1                        0   \n",
              "\n",
              "   MANOEUVER_Merging  MANOEUVER_Other  MANOEUVER_Overtaking  MANOEUVER_Parked  \\\n",
              "0                  0                0                     0                 0   \n",
              "1                  0                0                     0                 0   \n",
              "2                  0                0                     0                 0   \n",
              "3                  0                0                     0                 0   \n",
              "4                  0                0                     0                 0   \n",
              "\n",
              "   MANOEUVER_Pulling Away from Shoulder or Curb  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   MANOEUVER_Pulling Onto Shoulder or towardCurb  MANOEUVER_Reversing  \\\n",
              "0                                              0                    0   \n",
              "1                                              0                    0   \n",
              "2                                              0                    0   \n",
              "3                                              0                    0   \n",
              "4                                              0                    0   \n",
              "\n",
              "   MANOEUVER_Slowing or Stopping  MANOEUVER_Stopped  MANOEUVER_Turning Left  \\\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",
              "   MANOEUVER_Turning Right  MANOEUVER_Unknown  DRIVACT_   \\\n",
              "0                        0                  0          0   \n",
              "1                        0                  0          1   \n",
              "2                        0                  0          1   \n",
              "3                        0                  0          1   \n",
              "4                        0                  0          0   \n",
              "\n",
              "   DRIVACT_Disobeyed Traffic Control  DRIVACT_Driving Properly  \\\n",
              "0                                  0                         1   \n",
              "1                                  0                         0   \n",
              "2                                  0                         0   \n",
              "3                                  0                         0   \n",
              "4                                  0                         0   \n",
              "\n",
              "   DRIVACT_Exceeding Speed Limit  DRIVACT_Failed to Yield Right of Way  \\\n",
              "0                              0                                     0   \n",
              "1                              0                                     0   \n",
              "2                              0                                     0   \n",
              "3                              0                                     0   \n",
              "4                              0                                     1   \n",
              "\n",
              "   DRIVACT_Following too Close  DRIVACT_Improper Lane Change  \\\n",
              "0                            0                             0   \n",
              "1                            0                             0   \n",
              "2                            0                             0   \n",
              "3                            0                             0   \n",
              "4                            0                             0   \n",
              "\n",
              "   DRIVACT_Improper Passing  DRIVACT_Improper Turn  DRIVACT_Lost control  \\\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",
              "   DRIVACT_Other  DRIVACT_Speed too Fast For Condition  \\\n",
              "0              0                                     0   \n",
              "1              0                                     0   \n",
              "2              0                                     0   \n",
              "3              0                                     0   \n",
              "4              0                                     0   \n",
              "\n",
              "   DRIVACT_Speed too Slow  DRIVACT_Wrong Way on One Way Road  DRIVCOND_   \\\n",
              "0                       0                                  0           0   \n",
              "1                       0                                  0           1   \n",
              "2                       0                                  0           1   \n",
              "3                       0                                  0           1   \n",
              "4                       0                                  0           0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Alcohol  \\\n",
              "0                                   0   \n",
              "1                                   0   \n",
              "2                                   0   \n",
              "3                                   0   \n",
              "4                                   0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Alcohol Over .08  \\\n",
              "0                                            0   \n",
              "1                                            0   \n",
              "2                                            0   \n",
              "3                                            0   \n",
              "4                                            0   \n",
              "\n",
              "   DRIVCOND_Ability Impaired, Drugs  DRIVCOND_Fatigue  \\\n",
              "0                                 0                 0   \n",
              "1                                 0                 0   \n",
              "2                                 0                 0   \n",
              "3                                 0                 0   \n",
              "4                                 0                 0   \n",
              "\n",
              "   DRIVCOND_Had Been Drinking  DRIVCOND_Inattentive  \\\n",
              "0                           0                     0   \n",
              "1                           0                     0   \n",
              "2                           0                     0   \n",
              "3                           0                     0   \n",
              "4                           0                     0   \n",
              "\n",
              "   DRIVCOND_Medical or Physical Disability  DRIVCOND_Normal  DRIVCOND_Other  \\\n",
              "0                                        0                1               0   \n",
              "1                                        0                0               0   \n",
              "2                                        0                0               0   \n",
              "3                                        0                0               0   \n",
              "4                                        0                1               0   \n",
              "\n",
              "   DRIVCOND_Unknown  PEDTYPE_   PEDTYPE_Other / Undefined  \\\n",
              "0                 0          1                          0   \n",
              "1                 0          1                          0   \n",
              "2                 0          0                          0   \n",
              "3                 0          1                          0   \n",
              "4                 0          1                          0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit a PXO/ped. Mid-block signal  \\\n",
              "0                                                  0    \n",
              "1                                                  0    \n",
              "2                                                  0    \n",
              "3                                                  0    \n",
              "4                                                  0    \n",
              "\n",
              "   PEDTYPE_Pedestrian hit at mid-block  PEDTYPE_Pedestrian hit at parking lot  \\\n",
              "0                                    0                                      0   \n",
              "1                                    0                                      0   \n",
              "2                                    0                                      0   \n",
              "3                                    0                                      0   \n",
              "4                                    0                                      0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit at private driveway  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   PEDTYPE_Pedestrian hit on sidewalk or shoulder  \\\n",
              "0                                               0   \n",
              "1                                               0   \n",
              "2                                               0   \n",
              "3                                               0   \n",
              "4                                               0   \n",
              "\n",
              "   PEDTYPE_Pedestrian involved in a collision with transit vehicle anywhere along roadway  \\\n",
              "0                                                  0                                        \n",
              "1                                                  0                                        \n",
              "2                                                  0                                        \n",
              "3                                                  0                                        \n",
              "4                                                  0                                        \n",
              "\n",
              "   PEDTYPE_Unknown  \\\n",
              "0                0   \n",
              "1                0   \n",
              "2                0   \n",
              "3                0   \n",
              "4                0   \n",
              "\n",
              "   PEDTYPE_Vehicle hits the pedestrian walking or running out from between parked vehicles at mid-block  \\\n",
              "0                                                  0                                                      \n",
              "1                                                  0                                                      \n",
              "2                                                  0                                                      \n",
              "3                                                  0                                                      \n",
              "4                                                  0                                                      \n",
              "\n",
              "   PEDTYPE_Vehicle is going straight thru inter.while ped cross with ROW  \\\n",
              "0                                                  0                       \n",
              "1                                                  0                       \n",
              "2                                                  1                       \n",
              "3                                                  0                       \n",
              "4                                                  0                       \n",
              "\n",
              "   PEDTYPE_Vehicle is going straight thru inter.while ped cross without ROW  \\\n",
              "0                                                  0                          \n",
              "1                                                  0                          \n",
              "2                                                  0                          \n",
              "3                                                  0                          \n",
              "4                                                  0                          \n",
              "\n",
              "   PEDTYPE_Vehicle is reversing and hits pedestrian  \\\n",
              "0                                                 0   \n",
              "1                                                 0   \n",
              "2                                                 0   \n",
              "3                                                 0   \n",
              "4                                                 0   \n",
              "\n",
              "   PEDTYPE_Vehicle turns left while ped crosses with ROW at inter.  \\\n",
              "0                                                  0                 \n",
              "1                                                  0                 \n",
              "2                                                  0                 \n",
              "3                                                  0                 \n",
              "4                                                  0                 \n",
              "\n",
              "   PEDTYPE_Vehicle turns left while ped crosses without ROW at inter.  \\\n",
              "0                                                  0                    \n",
              "1                                                  0                    \n",
              "2                                                  0                    \n",
              "3                                                  0                    \n",
              "4                                                  0                    \n",
              "\n",
              "   PEDTYPE_Vehicle turns right while ped crosses with ROW at inter.  \\\n",
              "0                                                  0                  \n",
              "1                                                  0                  \n",
              "2                                                  0                  \n",
              "3                                                  0                  \n",
              "4                                                  0                  \n",
              "\n",
              "   PEDTYPE_Vehicle turns right while ped crosses without ROW at inter.  \\\n",
              "0                                                  0                     \n",
              "1                                                  0                     \n",
              "2                                                  0                     \n",
              "3                                                  0                     \n",
              "4                                                  0                     \n",
              "\n",
              "   PEDACT_   PEDACT_Coming From Behind Parked Vehicle  \\\n",
              "0         1                                         0   \n",
              "1         1                                         0   \n",
              "2         0                                         0   \n",
              "3         1                                         0   \n",
              "4         1                                         0   \n",
              "\n",
              "   PEDACT_Crossing marked crosswalk without ROW  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   PEDACT_Crossing with right of way  PEDACT_Crossing without right of way  \\\n",
              "0                                  0                                     0   \n",
              "1                                  0                                     0   \n",
              "2                                  0                                     0   \n",
              "3                                  0                                     0   \n",
              "4                                  0                                     0   \n",
              "\n",
              "   PEDACT_Crossing, Pedestrian Crossover  PEDACT_Crossing, no Traffic Control  \\\n",
              "0                                      0                                    0   \n",
              "1                                      0                                    0   \n",
              "2                                      0                                    1   \n",
              "3                                      0                                    0   \n",
              "4                                      0                                    0   \n",
              "\n",
              "   PEDACT_On Sidewalk or Shoulder  PEDACT_Other  \\\n",
              "0                               0             0   \n",
              "1                               0             0   \n",
              "2                               0             0   \n",
              "3                               0             0   \n",
              "4                               0             0   \n",
              "\n",
              "   PEDACT_Person Getting on/off School Bus  \\\n",
              "0                                        0   \n",
              "1                                        0   \n",
              "2                                        0   \n",
              "3                                        0   \n",
              "4                                        0   \n",
              "\n",
              "   PEDACT_Person Getting on/off Vehicle  PEDACT_Playing or Working on Highway  \\\n",
              "0                                     0                                     0   \n",
              "1                                     0                                     0   \n",
              "2                                     0                                     0   \n",
              "3                                     0                                     0   \n",
              "4                                     0                                     0   \n",
              "\n",
              "   PEDACT_Pushing/Working on Vehicle  PEDACT_Running onto Roadway  \\\n",
              "0                                  0                            0   \n",
              "1                                  0                            0   \n",
              "2                                  0                            0   \n",
              "3                                  0                            0   \n",
              "4                                  0                            0   \n",
              "\n",
              "   PEDACT_Walking on Roadway Against Traffic  \\\n",
              "0                                          0   \n",
              "1                                          0   \n",
              "2                                          0   \n",
              "3                                          0   \n",
              "4                                          0   \n",
              "\n",
              "   PEDACT_Walking on Roadway with Traffic  PEDCOND_   \\\n",
              "0                                       0          1   \n",
              "1                                       0          1   \n",
              "2                                       0          0   \n",
              "3                                       0          1   \n",
              "4                                       0          1   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Alcohol  \\\n",
              "0                                  0   \n",
              "1                                  0   \n",
              "2                                  0   \n",
              "3                                  0   \n",
              "4                                  0   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Alcohol Over .80  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   PEDCOND_Ability Impaired, Drugs  PEDCOND_Fatigue  \\\n",
              "0                                0                0   \n",
              "1                                0                0   \n",
              "2                                0                0   \n",
              "3                                0                0   \n",
              "4                                0                0   \n",
              "\n",
              "   PEDCOND_Had Been Drinking  PEDCOND_Inattentive  \\\n",
              "0                          0                    0   \n",
              "1                          0                    0   \n",
              "2                          0                    0   \n",
              "3                          0                    0   \n",
              "4                          0                    0   \n",
              "\n",
              "   PEDCOND_Medical or Physical Disability  PEDCOND_Normal  PEDCOND_Other  \\\n",
              "0                                       0               0              0   \n",
              "1                                       0               0              0   \n",
              "2                                       0               1              0   \n",
              "3                                       0               0              0   \n",
              "4                                       0               0              0   \n",
              "\n",
              "   PEDCOND_Unknown  CYCLISTYPE_   \\\n",
              "0                0             1   \n",
              "1                0             1   \n",
              "2                0             1   \n",
              "3                0             1   \n",
              "4                0             1   \n",
              "\n",
              "   CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle rear-ended the other.  \\\n",
              "0                                                  0                                               \n",
              "1                                                  0                                               \n",
              "2                                                  0                                               \n",
              "3                                                  0                                               \n",
              "4                                                  0                                               \n",
              "\n",
              "   CYCLISTYPE_Cyclist and Driver travelling in same direction. One vehicle sideswipes the other.  \\\n",
              "0                                                  0                                               \n",
              "1                                                  0                                               \n",
              "2                                                  0                                               \n",
              "3                                                  0                                               \n",
              "4                                                  0                                               \n",
              "\n",
              "   CYCLISTYPE_Cyclist falls off bike - no contact with motorist.  \\\n",
              "0                                                  0               \n",
              "1                                                  0               \n",
              "2                                                  0               \n",
              "3                                                  0               \n",
              "4                                                  0               \n",
              "\n",
              "   CYCLISTYPE_Cyclist loses control and strikes object (pole, ttc track)  \\\n",
              "0                                                  0                       \n",
              "1                                                  0                       \n",
              "2                                                  0                       \n",
              "3                                                  0                       \n",
              "4                                                  0                       \n",
              "\n",
              "   CYCLISTYPE_Cyclist makes u-turn in-front of driver.  \\\n",
              "0                                                  0     \n",
              "1                                                  0     \n",
              "2                                                  0     \n",
              "3                                                  0     \n",
              "4                                                  0     \n",
              "\n",
              "   CYCLISTYPE_Cyclist rode off sidewalk into road at midblock.  \\\n",
              "0                                                  0             \n",
              "1                                                  0             \n",
              "2                                                  0             \n",
              "3                                                  0             \n",
              "4                                                  0             \n",
              "\n",
              "   CYCLISTYPE_Cyclist strikes a parked vehicle.  \\\n",
              "0                                             0   \n",
              "1                                             0   \n",
              "2                                             0   \n",
              "3                                             0   \n",
              "4                                             0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist strikes pedestrian.  \\\n",
              "0                                       0   \n",
              "1                                       0   \n",
              "2                                       0   \n",
              "3                                       0   \n",
              "4                                       0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist struck at PXO(cyclist either travel in same dir. as veh. or ride across xwalk)  \\\n",
              "0                                                  0                                                   \n",
              "1                                                  0                                                   \n",
              "2                                                  0                                                   \n",
              "3                                                  0                                                   \n",
              "4                                                  0                                                   \n",
              "\n",
              "   CYCLISTYPE_Cyclist struck opened vehicle door  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                              0   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   CYCLISTYPE_Cyclist turned left across motorists path.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Cyclist turns right across motorists path  \\\n",
              "0                                                  0      \n",
              "1                                                  0      \n",
              "2                                                  0      \n",
              "3                                                  0      \n",
              "4                                                  0      \n",
              "\n",
              "   CYCLISTYPE_Cyclist without ROW rides into path of motorist at inter, lnwy, dwy-Cyclist not turn.  \\\n",
              "0                                                  0                                                  \n",
              "1                                                  0                                                  \n",
              "2                                                  0                                                  \n",
              "3                                                  0                                                  \n",
              "4                                                  0                                                  \n",
              "\n",
              "   CYCLISTYPE_Insufficient information (to determine cyclist crash type).  \\\n",
              "0                                                  0                        \n",
              "1                                                  0                        \n",
              "2                                                  0                        \n",
              "3                                                  0                        \n",
              "4                                                  0                        \n",
              "\n",
              "   CYCLISTYPE_Motorist loses control and strikes cyclist.  \\\n",
              "0                                                  0        \n",
              "1                                                  0        \n",
              "2                                                  0        \n",
              "3                                                  0        \n",
              "4                                                  0        \n",
              "\n",
              "   CYCLISTYPE_Motorist makes u-turn in-front of cyclist.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Motorist reversing struck cyclist.  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                              0   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   CYCLISTYPE_Motorist turned left across cyclists path.  \\\n",
              "0                                                  0       \n",
              "1                                                  0       \n",
              "2                                                  0       \n",
              "3                                                  0       \n",
              "4                                                  0       \n",
              "\n",
              "   CYCLISTYPE_Motorist turning right on green or amber at signalized intersection strikes cyclist.  \\\n",
              "0                                                  0                                                 \n",
              "1                                                  0                                                 \n",
              "2                                                  0                                                 \n",
              "3                                                  0                                                 \n",
              "4                                                  0                                                 \n",
              "\n",
              "   CYCLISTYPE_Motorist turning right on red at signalized intersection strikes cyclist.  \\\n",
              "0                                                  0                                      \n",
              "1                                                  0                                      \n",
              "2                                                  0                                      \n",
              "3                                                  0                                      \n",
              "4                                                  0                                      \n",
              "\n",
              "   CYCLISTYPE_Motorist turns right at non-signal Inter.(stop, yield, no cont.,and dwy) and strikes cyclist.  \\\n",
              "0                                                  0                                                          \n",
              "1                                                  0                                                          \n",
              "2                                                  0                                                          \n",
              "3                                                  0                                                          \n",
              "4                                                  0                                                          \n",
              "\n",
              "   CYCLISTYPE_Motorist without ROW drives into path of cyclist at inter, lnwy, dwy-Driver not turn.  \\\n",
              "0                                                  0                                                  \n",
              "1                                                  0                                                  \n",
              "2                                                  0                                                  \n",
              "3                                                  0                                                  \n",
              "4                                                  0                                                  \n",
              "\n",
              "   CYCACT_   CYCACT_Disobeyed Traffic Control  CYCACT_Driving Properly  \\\n",
              "0         1                                 0                        0   \n",
              "1         1                                 0                        0   \n",
              "2         1                                 0                        0   \n",
              "3         1                                 0                        0   \n",
              "4         1                                 0                        0   \n",
              "\n",
              "   CYCACT_Failed to Yield Right of Way  CYCACT_Following too Close  \\\n",
              "0                                    0                           0   \n",
              "1                                    0                           0   \n",
              "2                                    0                           0   \n",
              "3                                    0                           0   \n",
              "4                                    0                           0   \n",
              "\n",
              "   CYCACT_Improper Lane Change  CYCACT_Improper Passing  CYCACT_Improper Turn  \\\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",
              "   CYCACT_Lost control  CYCACT_Other  CYCACT_Speed too Fast For Condition  \\\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",
              "   CYCACT_Wrong Way on One Way Road  CYCCOND_   \\\n",
              "0                                 0          1   \n",
              "1                                 0          1   \n",
              "2                                 0          1   \n",
              "3                                 0          1   \n",
              "4                                 0          1   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Alcohol  \\\n",
              "0                                  0   \n",
              "1                                  0   \n",
              "2                                  0   \n",
              "3                                  0   \n",
              "4                                  0   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Alcohol Over .80  \\\n",
              "0                                           0   \n",
              "1                                           0   \n",
              "2                                           0   \n",
              "3                                           0   \n",
              "4                                           0   \n",
              "\n",
              "   CYCCOND_Ability Impaired, Drugs  CYCCOND_Fatigue  \\\n",
              "0                                0                0   \n",
              "1                                0                0   \n",
              "2                                0                0   \n",
              "3                                0                0   \n",
              "4                                0                0   \n",
              "\n",
              "   CYCCOND_Had Been Drinking  CYCCOND_Inattentive  \\\n",
              "0                          0                    0   \n",
              "1                          0                    0   \n",
              "2                          0                    0   \n",
              "3                          0                    0   \n",
              "4                          0                    0   \n",
              "\n",
              "   CYCCOND_Medical or Physical Disability  CYCCOND_Normal  CYCCOND_Other  \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  "
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 926
        },
        "id": "AVLZ3H7J1_Tj",
        "outputId": "ed5f208d-e18b-412e-9a38-601bdc3501b2"
      },
      "source": [
        "# Run repeated stratified K Fold, cross-validating the results and using logistic regression\n",
        "# to plot categorical variable accuracy gain based on number of components \n",
        "from numpy import mean\n",
        "from numpy import std\n",
        "from sklearn.datasets import make_classification\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.model_selection import RepeatedStratifiedKFold\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.decomposition import TruncatedSVD\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from matplotlib import pyplot  \n",
        "\n",
        "\n",
        "def get_models():\n",
        "    models = dict()\n",
        "    for i in range(1,40):\n",
        "        steps = [('svd', TruncatedSVD(n_components=i)), ('m', LogisticRegression())]\n",
        "        models[str(i)] = Pipeline(steps=steps)\n",
        "    return models\n",
        " \n",
        "# evaluate a give model using cross-validation\n",
        "def evaluate_model(model, X, y):\n",
        "    cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
        "    scores = cross_val_score(model, X, y, scoring='accuracy', cv=cv, n_jobs=-1, error_score='raise')\n",
        "    return scores\n",
        "\n",
        "# get the models to evaluate\n",
        "models = get_models()\n",
        "# evaluate the models and store results\n",
        "results, names = list(), list()\n",
        "for name, model in models.items():\n",
        "    scores = evaluate_model(model, X, y)\n",
        "    results.append(scores)\n",
        "    names.append(name)\n",
        "    print('>%s %.3f (%.3f)' % (name, mean(scores), std(scores)))\n",
        "# plot model performance for comparison\n",
        "pyplot.boxplot(results, labels=names, showmeans=True)\n",
        "pyplot.xticks(rotation=45)\n",
        "pyplot.show()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            ">1 0.629 (0.010)\n",
            ">2 0.628 (0.009)\n",
            ">3 0.630 (0.010)\n",
            ">4 0.629 (0.010)\n",
            ">5 0.640 (0.011)\n",
            ">6 0.651 (0.009)\n",
            ">7 0.651 (0.010)\n",
            ">8 0.668 (0.011)\n",
            ">9 0.675 (0.011)\n",
            ">10 0.677 (0.011)\n",
            ">11 0.681 (0.011)\n",
            ">12 0.706 (0.012)\n",
            ">13 0.706 (0.012)\n",
            ">14 0.713 (0.012)\n",
            ">15 0.734 (0.009)\n",
            ">16 0.734 (0.010)\n",
            ">17 0.735 (0.010)\n",
            ">18 0.736 (0.011)\n",
            ">19 0.742 (0.010)\n",
            ">20 0.745 (0.012)\n",
            ">21 0.750 (0.012)\n",
            ">22 0.746 (0.011)\n",
            ">23 0.755 (0.010)\n",
            ">24 0.756 (0.011)\n",
            ">25 0.759 (0.010)\n",
            ">26 0.758 (0.010)\n",
            ">27 0.759 (0.010)\n",
            ">28 0.762 (0.009)\n",
            ">29 0.762 (0.010)\n",
            ">30 0.760 (0.010)\n",
            ">31 0.763 (0.011)\n",
            ">32 0.764 (0.009)\n",
            ">33 0.766 (0.011)\n",
            ">34 0.767 (0.011)\n",
            ">35 0.766 (0.011)\n",
            ">36 0.766 (0.011)\n",
            ">37 0.765 (0.011)\n",
            ">38 0.765 (0.011)\n",
            ">39 0.767 (0.011)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kplitmTX1_Tj"
      },
      "source": [
        "# We can see the increase in accuracy based on the increase in components -\n",
        "# We decided to go with 34 components using SVD.\n",
        "svd = TruncatedSVD(n_components=34, n_iter=7, random_state=42)\n",
        "svd.fit(X)\n",
        "X_svd = svd.transform(X)"
      ],
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9ylXCkX71_Tj",
        "outputId": "0c14843b-7847-44ae-9de2-25f019060593"
      },
      "source": [
        "# Demonstrate new, reduced shape of the dataset\n",
        "print(\"original shape:   \", X.shape)\n",
        "print(\"transformed shape:\", X_svd.shape)"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "original shape:    (12557, 194)\n",
            "transformed shape: (12557, 34)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D8-jP6nV1_Tj"
      },
      "source": [
        "# split out ordinal and categorical variables\n",
        "a = data.iloc[:,:5]\n",
        "b = pd.DataFrame(X_svd)"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 203
        },
        "id": "XB1Jr26ynV3U",
        "outputId": "f0d64002-ef8b-403e-e502-08946805962b"
      },
      "source": [
        "a.head()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   WEEKDAY  ROAD_CLASS  VISIBILITY  LIGHT  RDSFCOND\n",
              "0        3           1           0      2         0\n",
              "1        6           1           0      2         0\n",
              "2        2           1           0      2         0\n",
              "3        6           1           0      2         0\n",
              "4        6           1           0      2         0"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "69e-6_vg1_Tk"
      },
      "source": [
        "# X is our new dataframe with all of the different types of variables\n",
        "X = pd.concat([a, b], axis=1)"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bfLdKqFy1_Tk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "outputId": "a0977a0c-191d-4147-9165-67a1fb6e10d9"
      },
      "source": [
        "X.head()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WEEKDAY</th>\n",
              "      <th>ROAD_CLASS</th>\n",
              "      <th>VISIBILITY</th>\n",
              "      <th>LIGHT</th>\n",
              "      <th>RDSFCOND</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2.856827</td>\n",
              "      <td>-0.999007</td>\n",
              "      <td>1.321107</td>\n",
              "      <td>-1.242143</td>\n",
              "      <td>0.461087</td>\n",
              "      <td>-0.086826</td>\n",
              "      <td>-0.890293</td>\n",
              "      <td>-0.063566</td>\n",
              "      <td>0.622796</td>\n",
              "      <td>0.908126</td>\n",
              "      <td>0.191375</td>\n",
              "      <td>-0.249985</td>\n",
              "      <td>0.200867</td>\n",
              "      <td>0.095708</td>\n",
              "      <td>0.299171</td>\n",
              "      <td>0.595186</td>\n",
              "      <td>0.225149</td>\n",
              "      <td>-0.007125</td>\n",
              "      <td>0.479937</td>\n",
              "      <td>-0.188390</td>\n",
              "      <td>-0.714188</td>\n",
              "      <td>0.177273</td>\n",
              "      <td>0.102777</td>\n",
              "      <td>-0.013404</td>\n",
              "      <td>-0.554999</td>\n",
              "      <td>0.307381</td>\n",
              "      <td>-0.176455</td>\n",
              "      <td>0.072138</td>\n",
              "      <td>0.128212</td>\n",
              "      <td>0.199116</td>\n",
              "      <td>-0.352544</td>\n",
              "      <td>-0.071093</td>\n",
              "      <td>0.036813</td>\n",
              "      <td>-0.119322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3.760728</td>\n",
              "      <td>1.374570</td>\n",
              "      <td>0.595566</td>\n",
              "      <td>0.342389</td>\n",
              "      <td>-0.287515</td>\n",
              "      <td>-0.336797</td>\n",
              "      <td>0.245929</td>\n",
              "      <td>0.108817</td>\n",
              "      <td>-0.152144</td>\n",
              "      <td>0.953852</td>\n",
              "      <td>0.443655</td>\n",
              "      <td>-0.153337</td>\n",
              "      <td>-0.909548</td>\n",
              "      <td>-0.449562</td>\n",
              "      <td>-0.000614</td>\n",
              "      <td>0.037809</td>\n",
              "      <td>-0.508023</td>\n",
              "      <td>-0.275742</td>\n",
              "      <td>0.432128</td>\n",
              "      <td>0.274285</td>\n",
              "      <td>-0.043163</td>\n",
              "      <td>-0.118336</td>\n",
              "      <td>-0.454991</td>\n",
              "      <td>-0.162906</td>\n",
              "      <td>0.060398</td>\n",
              "      <td>-0.089116</td>\n",
              "      <td>0.136088</td>\n",
              "      <td>-0.153794</td>\n",
              "      <td>-0.001407</td>\n",
              "      <td>-0.191186</td>\n",
              "      <td>0.012617</td>\n",
              "      <td>-0.071217</td>\n",
              "      <td>-0.139349</td>\n",
              "      <td>-0.187104</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2.789336</td>\n",
              "      <td>1.974640</td>\n",
              "      <td>-0.460102</td>\n",
              "      <td>-1.290896</td>\n",
              "      <td>-0.182802</td>\n",
              "      <td>1.057187</td>\n",
              "      <td>0.515315</td>\n",
              "      <td>-0.117645</td>\n",
              "      <td>0.136492</td>\n",
              "      <td>-0.314504</td>\n",
              "      <td>0.542911</td>\n",
              "      <td>0.204717</td>\n",
              "      <td>-0.440248</td>\n",
              "      <td>0.477389</td>\n",
              "      <td>0.330805</td>\n",
              "      <td>-0.248072</td>\n",
              "      <td>0.381877</td>\n",
              "      <td>-0.215188</td>\n",
              "      <td>-0.668251</td>\n",
              "      <td>0.224948</td>\n",
              "      <td>-0.293019</td>\n",
              "      <td>-0.246949</td>\n",
              "      <td>0.127786</td>\n",
              "      <td>-0.145795</td>\n",
              "      <td>0.062533</td>\n",
              "      <td>-0.157388</td>\n",
              "      <td>-0.070018</td>\n",
              "      <td>0.065954</td>\n",
              "      <td>-0.042606</td>\n",
              "      <td>-0.011775</td>\n",
              "      <td>-0.207168</td>\n",
              "      <td>-0.100988</td>\n",
              "      <td>-0.202256</td>\n",
              "      <td>0.104002</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3.748632</td>\n",
              "      <td>1.363167</td>\n",
              "      <td>0.606447</td>\n",
              "      <td>0.229546</td>\n",
              "      <td>-0.087729</td>\n",
              "      <td>-0.738445</td>\n",
              "      <td>0.314995</td>\n",
              "      <td>-0.096945</td>\n",
              "      <td>0.170676</td>\n",
              "      <td>0.845777</td>\n",
              "      <td>0.305766</td>\n",
              "      <td>-0.119967</td>\n",
              "      <td>-0.838824</td>\n",
              "      <td>-0.217883</td>\n",
              "      <td>-0.126849</td>\n",
              "      <td>-0.376056</td>\n",
              "      <td>-0.345387</td>\n",
              "      <td>-0.393568</td>\n",
              "      <td>0.359152</td>\n",
              "      <td>-0.349210</td>\n",
              "      <td>0.140289</td>\n",
              "      <td>-0.168257</td>\n",
              "      <td>0.301920</td>\n",
              "      <td>-0.576546</td>\n",
              "      <td>0.307008</td>\n",
              "      <td>-0.139204</td>\n",
              "      <td>0.065531</td>\n",
              "      <td>-0.067289</td>\n",
              "      <td>-0.143075</td>\n",
              "      <td>-0.139950</td>\n",
              "      <td>-0.131997</td>\n",
              "      <td>-0.061817</td>\n",
              "      <td>-0.075844</td>\n",
              "      <td>-0.166190</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3.680357</td>\n",
              "      <td>-1.149482</td>\n",
              "      <td>0.385347</td>\n",
              "      <td>-0.825279</td>\n",
              "      <td>-0.245927</td>\n",
              "      <td>-0.095246</td>\n",
              "      <td>0.611842</td>\n",
              "      <td>-0.085176</td>\n",
              "      <td>-0.326569</td>\n",
              "      <td>0.897751</td>\n",
              "      <td>0.502019</td>\n",
              "      <td>-0.024997</td>\n",
              "      <td>-0.859129</td>\n",
              "      <td>-0.460272</td>\n",
              "      <td>0.097642</td>\n",
              "      <td>0.080198</td>\n",
              "      <td>-0.331064</td>\n",
              "      <td>-0.280581</td>\n",
              "      <td>0.431565</td>\n",
              "      <td>0.033256</td>\n",
              "      <td>-0.022301</td>\n",
              "      <td>-0.072486</td>\n",
              "      <td>0.413688</td>\n",
              "      <td>-0.157909</td>\n",
              "      <td>0.113487</td>\n",
              "      <td>-0.641078</td>\n",
              "      <td>-0.001717</td>\n",
              "      <td>-0.266874</td>\n",
              "      <td>0.003980</td>\n",
              "      <td>-0.251988</td>\n",
              "      <td>-0.042165</td>\n",
              "      <td>0.127982</td>\n",
              "      <td>0.085120</td>\n",
              "      <td>0.025696</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   WEEKDAY  ROAD_CLASS  VISIBILITY  LIGHT  RDSFCOND         0         1  \\\n",
              "0        3           1           0      2         0  2.856827 -0.999007   \n",
              "1        6           1           0      2         0  3.760728  1.374570   \n",
              "2        2           1           0      2         0  2.789336  1.974640   \n",
              "3        6           1           0      2         0  3.748632  1.363167   \n",
              "4        6           1           0      2         0  3.680357 -1.149482   \n",
              "\n",
              "          2         3         4         5         6         7         8  \\\n",
              "0  1.321107 -1.242143  0.461087 -0.086826 -0.890293 -0.063566  0.622796   \n",
              "1  0.595566  0.342389 -0.287515 -0.336797  0.245929  0.108817 -0.152144   \n",
              "2 -0.460102 -1.290896 -0.182802  1.057187  0.515315 -0.117645  0.136492   \n",
              "3  0.606447  0.229546 -0.087729 -0.738445  0.314995 -0.096945  0.170676   \n",
              "4  0.385347 -0.825279 -0.245927 -0.095246  0.611842 -0.085176 -0.326569   \n",
              "\n",
              "          9        10        11        12        13        14        15  \\\n",
              "0  0.908126  0.191375 -0.249985  0.200867  0.095708  0.299171  0.595186   \n",
              "1  0.953852  0.443655 -0.153337 -0.909548 -0.449562 -0.000614  0.037809   \n",
              "2 -0.314504  0.542911  0.204717 -0.440248  0.477389  0.330805 -0.248072   \n",
              "3  0.845777  0.305766 -0.119967 -0.838824 -0.217883 -0.126849 -0.376056   \n",
              "4  0.897751  0.502019 -0.024997 -0.859129 -0.460272  0.097642  0.080198   \n",
              "\n",
              "         16        17        18        19        20        21        22  \\\n",
              "0  0.225149 -0.007125  0.479937 -0.188390 -0.714188  0.177273  0.102777   \n",
              "1 -0.508023 -0.275742  0.432128  0.274285 -0.043163 -0.118336 -0.454991   \n",
              "2  0.381877 -0.215188 -0.668251  0.224948 -0.293019 -0.246949  0.127786   \n",
              "3 -0.345387 -0.393568  0.359152 -0.349210  0.140289 -0.168257  0.301920   \n",
              "4 -0.331064 -0.280581  0.431565  0.033256 -0.022301 -0.072486  0.413688   \n",
              "\n",
              "         23        24        25        26        27        28        29  \\\n",
              "0 -0.013404 -0.554999  0.307381 -0.176455  0.072138  0.128212  0.199116   \n",
              "1 -0.162906  0.060398 -0.089116  0.136088 -0.153794 -0.001407 -0.191186   \n",
              "2 -0.145795  0.062533 -0.157388 -0.070018  0.065954 -0.042606 -0.011775   \n",
              "3 -0.576546  0.307008 -0.139204  0.065531 -0.067289 -0.143075 -0.139950   \n",
              "4 -0.157909  0.113487 -0.641078 -0.001717 -0.266874  0.003980 -0.251988   \n",
              "\n",
              "         30        31        32        33  \n",
              "0 -0.352544 -0.071093  0.036813 -0.119322  \n",
              "1  0.012617 -0.071217 -0.139349 -0.187104  \n",
              "2 -0.207168 -0.100988 -0.202256  0.104002  \n",
              "3 -0.131997 -0.061817 -0.075844 -0.166190  \n",
              "4 -0.042165  0.127982  0.085120  0.025696  "
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0TfJVqqnJhqp"
      },
      "source": [
        "## Seletion of Best best features"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w0TgD8ZUnV3U"
      },
      "source": [
        "feature_names = list(X.columns)"
      ],
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_jagrX2J-S-V",
        "outputId": "73459140-2d0e-4036-9daf-3c6390836371"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "%matplotlib inline\n",
        "import scipy.stats as ss\n",
        "from collections import Counter\n",
        "import math\n",
        "from scipy import stats\n",
        "from sklearn.feature_selection import SelectKBest\n",
        "from sklearn.feature_selection import chi2\n",
        "from sklearn.feature_selection import SelectFromModel\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.feature_selection import RFE\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from lightgbm import LGBMClassifier\n",
        "\n",
        "num_feats = 30\n",
        "\n",
        "cor_list = cor_support = cor_feature = []\n",
        "for i in X.columns:\n",
        "  cor = np.corrcoef(X[i], y)[0, 1]\n",
        "  cor_list.append(cor)\n",
        "\n",
        "cor_list = [0 if np.isnan(i) else i for i in cor_list] # replace NaN with 0\n",
        "cor_feature = X.iloc[:,np.argsort(np.abs(cor_list))[-num_feats:]].columns.tolist()\n",
        "cor_support = [True if i in cor_feature else False for i in list(X.columns)]\n",
        "\n",
        "rfe_support = rfe_feature = []\n",
        "min_max_scaler = MinMaxScaler()\n",
        "X_train_minmax = min_max_scaler.fit_transform(X)\n",
        "rfe_selector = RFE(estimator=LogisticRegression(), n_features_to_select=num_feats, step=15)\n",
        "rfe_selector.fit(X_train_minmax, y)\n",
        "rfe_support = rfe_selector.get_support()\n",
        "rfe_feature = X.loc[:,rfe_support].columns.tolist()\n",
        "\n",
        "embedded_lr_support = embedded_lr_feature = []\n",
        "lr = LogisticRegression(penalty='l1', solver='liblinear', max_iter=10000)\n",
        "embedded_lr_selector = SelectFromModel(lr, max_features=num_feats)\n",
        "embedded_lr_selector = embedded_lr_selector.fit(X, y)\n",
        "embedded_lr_support = embedded_lr_selector.get_support()\n",
        "embedded_lr_feature = X.loc[:, embedded_lr_support].columns.tolist()\n",
        "\n",
        "embedded_rf_support = embedded_rf_feature = []\n",
        "sel = SelectFromModel(RandomForestClassifier(n_estimators = 40, bootstrap=False, max_features=num_feats))\n",
        "sel.fit(X, y)\n",
        "embedded_rf_feature = X.columns[(sel.get_support())]\n",
        "embedded_rf_support = sel.get_support()\n",
        "\n",
        "embedded_lgbm_support = embedded_lgbm_feature = []\n",
        "lgbc=LGBMClassifier(n_estimators=500, learning_rate=0.05, num_leaves=32, colsample_bytree=0.2,\n",
        "        reg_alpha=3, reg_lambda=1, min_split_gain=0.01, min_child_weight=40)\n",
        "embedded_lgbm_selector = SelectFromModel(lgbc, max_features=num_feats)\n",
        "embedded_lgbm_selector.fit(X, y)\n",
        "embedded_lgbm_support = embedded_lgbm_selector.get_support()\n",
        "embedded_lgbm_feature = X.loc[:,embedded_lgbm_support].columns.tolist()\n",
        "\n",
        "pd.set_option('display.max_rows', None)\n",
        "feature_selection_df = pd.DataFrame({\n",
        "    'Feature':feature_names,\n",
        "    'Pearson':cor_support,\n",
        "    'RFE':rfe_support,\n",
        "    'Logistic Regression':embedded_lr_support,\n",
        "    'Random Forest':embedded_rf_support,\n",
        "    'LightGBM':embedded_lgbm_support\n",
        "})\n",
        "feature_selection_df['Total'] = np.sum(feature_selection_df, axis=1)\n",
        "feature_selection_df = feature_selection_df.sort_values(['Total','Feature'] , ascending=False)\n",
        "feature_selection_df.index = range(1, len(feature_selection_df)+1)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning:\n",
            "\n",
            "lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning:\n",
            "\n",
            "lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "jnTt-Z12BSts",
        "outputId": "02e33853-cb6a-4687-f55e-ff714706d93f"
      },
      "source": [
        "feature_selection_df"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Feature</th>\n",
              "      <th>Pearson</th>\n",
              "      <th>RFE</th>\n",
              "      <th>Logistic Regression</th>\n",
              "      <th>Random Forest</th>\n",
              "      <th>LightGBM</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>18</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>14</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>11</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>8</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>32</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>30</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>25</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>24</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>23</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>22</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>20</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>19</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>16</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>15</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>13</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>10</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>9</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>7</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>4</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>31</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>29</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>27</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>21</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>17</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>12</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>33</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>28</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>26</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>WEEKDAY</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>LIGHT</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>VISIBILITY</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>ROAD_CLASS</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>RDSFCOND</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>2</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Feature  Pearson    RFE  Logistic Regression  Random Forest  LightGBM  \\\n",
              "1           18     True   True                 True           True      True   \n",
              "2           14     True   True                 True           True      True   \n",
              "3           11     True   True                 True           True      True   \n",
              "4            8     True   True                 True           True      True   \n",
              "5            5     True   True                 True           True      True   \n",
              "6            1     True   True                 True           True      True   \n",
              "7            0     True   True                 True           True      True   \n",
              "8           32     True   True                 True          False      True   \n",
              "9           30     True   True                 True          False      True   \n",
              "10          25     True   True                 True          False      True   \n",
              "11          24     True   True                 True          False      True   \n",
              "12          23     True   True                 True          False      True   \n",
              "13          22     True   True                 True          False      True   \n",
              "14          20     True   True                 True          False      True   \n",
              "15          19     True   True                 True          False      True   \n",
              "16          16     True   True                 True          False      True   \n",
              "17          15     True   True                 True          False      True   \n",
              "18          13     True   True                 True          False      True   \n",
              "19          10     True   True                 True          False      True   \n",
              "20           9     True   True                 True          False      True   \n",
              "21           7     True   True                 True          False      True   \n",
              "22           6     True   True                 True          False      True   \n",
              "23           4    False   True                 True           True      True   \n",
              "24           3     True   True                False           True      True   \n",
              "25          31    False   True                 True          False      True   \n",
              "26          29     True   True                False          False      True   \n",
              "27          27     True   True                 True          False     False   \n",
              "28          21     True   True                 True          False     False   \n",
              "29          17     True  False                 True          False      True   \n",
              "30          12     True  False                 True          False      True   \n",
              "31          33     True  False                 True          False     False   \n",
              "32          28    False   True                 True          False     False   \n",
              "33          26    False   True                False          False      True   \n",
              "34     WEEKDAY    False  False                False           True     False   \n",
              "35       LIGHT     True  False                False          False     False   \n",
              "36  VISIBILITY    False  False                False          False     False   \n",
              "37  ROAD_CLASS    False  False                False          False     False   \n",
              "38    RDSFCOND    False  False                False          False     False   \n",
              "39           2    False  False                False          False     False   \n",
              "\n",
              "    Total  \n",
              "1       5  \n",
              "2       5  \n",
              "3       5  \n",
              "4       5  \n",
              "5       5  \n",
              "6       5  \n",
              "7       5  \n",
              "8       4  \n",
              "9       4  \n",
              "10      4  \n",
              "11      4  \n",
              "12      4  \n",
              "13      4  \n",
              "14      4  \n",
              "15      4  \n",
              "16      4  \n",
              "17      4  \n",
              "18      4  \n",
              "19      4  \n",
              "20      4  \n",
              "21      4  \n",
              "22      4  \n",
              "23      4  \n",
              "24      4  \n",
              "25      3  \n",
              "26      3  \n",
              "27      3  \n",
              "28      3  \n",
              "29      3  \n",
              "30      3  \n",
              "31      2  \n",
              "32      2  \n",
              "33      2  \n",
              "34      1  \n",
              "35      1  \n",
              "36      0  \n",
              "37      0  \n",
              "38      0  \n",
              "39      0  "
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gDydEjoI85X3"
      },
      "source": [
        "# We now know which features aren't particularly relevant - let's drop them from the table.\n",
        "features_to_drop = [33,28,26,'WEEKDAY','LIGHT','VISIBILITY', 'ROAD_CLASS','RDSFCOND',2]\n",
        "concise_data = X.drop(columns=features_to_drop, axis=1)\n",
        "X = concise_data"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4Ie_e93wQsL9"
      },
      "source": [
        "# Run Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l_M3ygKGQrod"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train, test, train_labels, test_labels = train_test_split(X, y, \n",
        "                                                          stratify = y,\n",
        "                                                          test_size = 0.3, \n",
        "                                                          random_state = RSEED)"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wrHZyueYRafj"
      },
      "source": [
        "from sklearn.model_selection import RandomizedSearchCV\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "model = RandomForestClassifier(n_estimators=100, \n",
        "                               random_state=RSEED, \n",
        "                               max_features = 'sqrt')"
      ],
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "8_IHqyWuSFQi",
        "outputId": "b20ba4d6-ab76-41bb-b85e-0d699d53b887"
      },
      "source": [
        "X.head()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
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              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>27</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
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              "      <th>32</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2.856827</td>\n",
              "      <td>-0.999007</td>\n",
              "      <td>-1.242143</td>\n",
              "      <td>0.461087</td>\n",
              "      <td>-0.086826</td>\n",
              "      <td>-0.890293</td>\n",
              "      <td>-0.063566</td>\n",
              "      <td>0.622796</td>\n",
              "      <td>0.908126</td>\n",
              "      <td>0.191375</td>\n",
              "      <td>-0.249985</td>\n",
              "      <td>0.200867</td>\n",
              "      <td>0.095708</td>\n",
              "      <td>0.299171</td>\n",
              "      <td>0.595186</td>\n",
              "      <td>0.225149</td>\n",
              "      <td>-0.007125</td>\n",
              "      <td>0.479937</td>\n",
              "      <td>-0.188390</td>\n",
              "      <td>-0.714188</td>\n",
              "      <td>0.177273</td>\n",
              "      <td>0.102777</td>\n",
              "      <td>-0.013404</td>\n",
              "      <td>-0.554999</td>\n",
              "      <td>0.307381</td>\n",
              "      <td>0.072138</td>\n",
              "      <td>0.199116</td>\n",
              "      <td>-0.352544</td>\n",
              "      <td>-0.071093</td>\n",
              "      <td>0.036813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3.760728</td>\n",
              "      <td>1.374570</td>\n",
              "      <td>0.342389</td>\n",
              "      <td>-0.287515</td>\n",
              "      <td>-0.336797</td>\n",
              "      <td>0.245929</td>\n",
              "      <td>0.108817</td>\n",
              "      <td>-0.152144</td>\n",
              "      <td>0.953852</td>\n",
              "      <td>0.443655</td>\n",
              "      <td>-0.153337</td>\n",
              "      <td>-0.909548</td>\n",
              "      <td>-0.449562</td>\n",
              "      <td>-0.000614</td>\n",
              "      <td>0.037809</td>\n",
              "      <td>-0.508023</td>\n",
              "      <td>-0.275742</td>\n",
              "      <td>0.432128</td>\n",
              "      <td>0.274285</td>\n",
              "      <td>-0.043163</td>\n",
              "      <td>-0.118336</td>\n",
              "      <td>-0.454991</td>\n",
              "      <td>-0.162906</td>\n",
              "      <td>0.060398</td>\n",
              "      <td>-0.089116</td>\n",
              "      <td>-0.153794</td>\n",
              "      <td>-0.191186</td>\n",
              "      <td>0.012617</td>\n",
              "      <td>-0.071217</td>\n",
              "      <td>-0.139349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2.789336</td>\n",
              "      <td>1.974640</td>\n",
              "      <td>-1.290896</td>\n",
              "      <td>-0.182802</td>\n",
              "      <td>1.057187</td>\n",
              "      <td>0.515315</td>\n",
              "      <td>-0.117645</td>\n",
              "      <td>0.136492</td>\n",
              "      <td>-0.314504</td>\n",
              "      <td>0.542911</td>\n",
              "      <td>0.204717</td>\n",
              "      <td>-0.440248</td>\n",
              "      <td>0.477389</td>\n",
              "      <td>0.330805</td>\n",
              "      <td>-0.248072</td>\n",
              "      <td>0.381877</td>\n",
              "      <td>-0.215188</td>\n",
              "      <td>-0.668251</td>\n",
              "      <td>0.224948</td>\n",
              "      <td>-0.293019</td>\n",
              "      <td>-0.246949</td>\n",
              "      <td>0.127786</td>\n",
              "      <td>-0.145795</td>\n",
              "      <td>0.062533</td>\n",
              "      <td>-0.157388</td>\n",
              "      <td>0.065954</td>\n",
              "      <td>-0.011775</td>\n",
              "      <td>-0.207168</td>\n",
              "      <td>-0.100988</td>\n",
              "      <td>-0.202256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3.748632</td>\n",
              "      <td>1.363167</td>\n",
              "      <td>0.229546</td>\n",
              "      <td>-0.087729</td>\n",
              "      <td>-0.738445</td>\n",
              "      <td>0.314995</td>\n",
              "      <td>-0.096945</td>\n",
              "      <td>0.170676</td>\n",
              "      <td>0.845777</td>\n",
              "      <td>0.305766</td>\n",
              "      <td>-0.119967</td>\n",
              "      <td>-0.838824</td>\n",
              "      <td>-0.217883</td>\n",
              "      <td>-0.126849</td>\n",
              "      <td>-0.376056</td>\n",
              "      <td>-0.345387</td>\n",
              "      <td>-0.393568</td>\n",
              "      <td>0.359152</td>\n",
              "      <td>-0.349210</td>\n",
              "      <td>0.140289</td>\n",
              "      <td>-0.168257</td>\n",
              "      <td>0.301920</td>\n",
              "      <td>-0.576546</td>\n",
              "      <td>0.307008</td>\n",
              "      <td>-0.139204</td>\n",
              "      <td>-0.067289</td>\n",
              "      <td>-0.139950</td>\n",
              "      <td>-0.131997</td>\n",
              "      <td>-0.061817</td>\n",
              "      <td>-0.075844</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3.680357</td>\n",
              "      <td>-1.149482</td>\n",
              "      <td>-0.825279</td>\n",
              "      <td>-0.245927</td>\n",
              "      <td>-0.095246</td>\n",
              "      <td>0.611842</td>\n",
              "      <td>-0.085176</td>\n",
              "      <td>-0.326569</td>\n",
              "      <td>0.897751</td>\n",
              "      <td>0.502019</td>\n",
              "      <td>-0.024997</td>\n",
              "      <td>-0.859129</td>\n",
              "      <td>-0.460272</td>\n",
              "      <td>0.097642</td>\n",
              "      <td>0.080198</td>\n",
              "      <td>-0.331064</td>\n",
              "      <td>-0.280581</td>\n",
              "      <td>0.431565</td>\n",
              "      <td>0.033256</td>\n",
              "      <td>-0.022301</td>\n",
              "      <td>-0.072486</td>\n",
              "      <td>0.413688</td>\n",
              "      <td>-0.157909</td>\n",
              "      <td>0.113487</td>\n",
              "      <td>-0.641078</td>\n",
              "      <td>-0.266874</td>\n",
              "      <td>-0.251988</td>\n",
              "      <td>-0.042165</td>\n",
              "      <td>0.127982</td>\n",
              "      <td>0.085120</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         0         1         3         4         5         6         7   \\\n",
              "0  2.856827 -0.999007 -1.242143  0.461087 -0.086826 -0.890293 -0.063566   \n",
              "1  3.760728  1.374570  0.342389 -0.287515 -0.336797  0.245929  0.108817   \n",
              "2  2.789336  1.974640 -1.290896 -0.182802  1.057187  0.515315 -0.117645   \n",
              "3  3.748632  1.363167  0.229546 -0.087729 -0.738445  0.314995 -0.096945   \n",
              "4  3.680357 -1.149482 -0.825279 -0.245927 -0.095246  0.611842 -0.085176   \n",
              "\n",
              "         8         9         10        11        12        13        14  \\\n",
              "0  0.622796  0.908126  0.191375 -0.249985  0.200867  0.095708  0.299171   \n",
              "1 -0.152144  0.953852  0.443655 -0.153337 -0.909548 -0.449562 -0.000614   \n",
              "2  0.136492 -0.314504  0.542911  0.204717 -0.440248  0.477389  0.330805   \n",
              "3  0.170676  0.845777  0.305766 -0.119967 -0.838824 -0.217883 -0.126849   \n",
              "4 -0.326569  0.897751  0.502019 -0.024997 -0.859129 -0.460272  0.097642   \n",
              "\n",
              "         15        16        17        18        19        20        21  \\\n",
              "0  0.595186  0.225149 -0.007125  0.479937 -0.188390 -0.714188  0.177273   \n",
              "1  0.037809 -0.508023 -0.275742  0.432128  0.274285 -0.043163 -0.118336   \n",
              "2 -0.248072  0.381877 -0.215188 -0.668251  0.224948 -0.293019 -0.246949   \n",
              "3 -0.376056 -0.345387 -0.393568  0.359152 -0.349210  0.140289 -0.168257   \n",
              "4  0.080198 -0.331064 -0.280581  0.431565  0.033256 -0.022301 -0.072486   \n",
              "\n",
              "         22        23        24        25        27        29        30  \\\n",
              "0  0.102777 -0.013404 -0.554999  0.307381  0.072138  0.199116 -0.352544   \n",
              "1 -0.454991 -0.162906  0.060398 -0.089116 -0.153794 -0.191186  0.012617   \n",
              "2  0.127786 -0.145795  0.062533 -0.157388  0.065954 -0.011775 -0.207168   \n",
              "3  0.301920 -0.576546  0.307008 -0.139204 -0.067289 -0.139950 -0.131997   \n",
              "4  0.413688 -0.157909  0.113487 -0.641078 -0.266874 -0.251988 -0.042165   \n",
              "\n",
              "         31        32  \n",
              "0 -0.071093  0.036813  \n",
              "1 -0.071217 -0.139349  \n",
              "2 -0.100988 -0.202256  \n",
              "3 -0.061817 -0.075844  \n",
              "4  0.127982  0.085120  "
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "htSXIGVhR4DL",
        "outputId": "4d377dc7-af24-4cad-c47c-e5c0e39eedd1"
      },
      "source": [
        "clf = RandomForestClassifier(max_depth=10, random_state=RSEED)\n",
        "clf.fit(train, train_labels)"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
              "                       criterion='gini', max_depth=10, max_features='auto',\n",
              "                       max_leaf_nodes=None, max_samples=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                       n_jobs=None, oob_score=False, random_state=42, verbose=0,\n",
              "                       warm_start=False)"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L8g26v1TYRPC"
      },
      "source": [
        "predictions = clf.predict(test)"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 697
        },
        "id": "UOlOAIF1ZdT3",
        "outputId": "af352bec-b275-4d81-d50f-ecd013e88b5a"
      },
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "import itertools\n",
        "\n",
        "#  Helper function to plot Confusion matrix\n",
        "def plot_confusion_matrix(cm, classes, normalize=False, title='Confusion matrix', cmap=plt.cm.Oranges):\n",
        "    \"\"\"\n",
        "    This function prints and plots the confusion matrix.\n",
        "    Normalization can be applied by setting `normalize=True`.\n",
        "    Source: http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html\n",
        "    \"\"\"\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "        print(\"Normalized confusion matrix\")\n",
        "    else:\n",
        "        print('Confusion matrix, without normalization')\n",
        "\n",
        "    print(cm)\n",
        "\n",
        "    plt.figure(figsize = (10, 10))\n",
        "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
        "    plt.title(title, size = 24)\n",
        "    plt.colorbar(aspect=4)\n",
        "    tick_marks = np.arange(len(classes))\n",
        "    plt.xticks(tick_marks, classes, rotation=45, size = 14)\n",
        "    plt.yticks(tick_marks, classes, size = 14)\n",
        "\n",
        "    fmt = '.2f' if normalize else 'd'\n",
        "    thresh = cm.max() / 2.\n",
        "    \n",
        "    # Labeling the plot\n",
        "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
        "        plt.text(j, i, format(cm[i, j], fmt), fontsize = 20,\n",
        "                 horizontalalignment=\"center\",\n",
        "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
        "        \n",
        "    plt.grid(None)\n",
        "    plt.tight_layout()\n",
        "    plt.ylabel('True label', size = 18)\n",
        "    plt.xlabel('Predicted label', size = 18)\n",
        "\n",
        "cm = confusion_matrix(test_labels, predictions)\n",
        "plot_confusion_matrix(cm, ['NO INJURY', 'MINOR INJURY', 'MAJOR INJURY', 'FATAL'])"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Confusion matrix, without normalization\n",
            "[[1699   57   59    0]\n",
            " [ 230  167  124    8]\n",
            " [ 221   97  923    5]\n",
            " [  27   24   28   99]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/pj7v+9gTdBw1OsvjdWp3FF98NDRfY5Ss5eYaAqxbt56+/Z9j+IefMm/BIsqULk2bQ1py583X0rnD0YkIWXJo0eK/eKBPXz4bPZblK1ZSp3YtTj/5RHreeyeVK1eKOjyR3YISbym02l1zL7Wat2TzhnWsXbKI6uUrZNm+ZNlynP/ccBof0Ym/p/3M1PffYNvmf9mzZl0atD6Kqg2bpkm8q1SvyZnDJ1OqfAXmfDuGXz95m0p16tOiy7ns0+lkBnc9hiV//JzmHJ1v7UPbq+9m84Z1/DFqBJvWrKT+IUdzzG0P0/jwTvxf95PZsW1bgbwfyaJixQrcfO0VGcrLlyub5vnRRx3JYQe3iHuM/xv6HnPmLeCEYzsURIiSjZxew1WrVtP2hLOYNn0m+zdvxtWXX8z69Rv4cOQojj3tAl5+9gmu6Hp+osKWLPw5Zy5HdjqJZf/8w2knn0jZ8hVY8tdinn5+IJ99MZZvvviEqlWrRB2mSKFn7h51DFII1Slt3r1htJ/LGh7WnrVLFrNy/mwatmlHt9fHZNnjfeYTr3PgKRfwUc/r+OHtlzPUFytRIk1SfPPXf1G5WnU+e/QOJr32dGp5/YOPotvrX7Bs1u+8eEbr1PLa+x3E1cMns2nNKgaedRirFs1NrTup5wAOveBqPu97JxMHP5UfL3+X9Jw8N/tGhVCjA44AYO6vE7NtO2HKH7Rv3TxD+erVa6i7b2u2b9/BounfU03JQELl9BpOmPIHw98ZyrMvDuLMU05k6ODnKVEi+J2z7J/lHNrhJJavWMmMH76kXt3aBR53frMSpaMOIV8df+o5jBoznmeefIQbr72K8ZN+psPhrbitx/30H/AiV19xKS8+82TUYeYbK1f9B3dvnX1LkdzRGG8ptOZ9N4GV82fnqG3t/Q7iwFMu4LdP3o6bdANpku7K9RpRuVp11i9fynevP5Om3YIfv2Hm+E+o1bwlDVrv/Kp7386nAvDju4PSJN0AY/r/B4BDL7wmR/FKwXnj7eFs2vQvZ55ygpLuQu79jz8D4MH7bk9NugFqVK/GrddfxaZN/zLo/96OKjwJ/TlnLqPGjKdhg/pcf3XabzIe/E8PypUryxtD3mHDhg0RRSiy+9BQEykSDjg5+Dr610/eplT5CuzT8WQq1K7HptUrmTtpHCsX/JmmffnqtQBYvXg+8b71SUmsGx3RiflTvk6zz6qFGXuT/127mk2rV1Kl/t5UqtuQ1Yvn5dtrSzabN2/h/94ezoKFiylXriwH7t+cdkcdRvHixXO0/yuvvQXAVd0uKsgwJQs5vYZLlv4DQOOG9TMcI6Vs7ISveaDHLQUftGRq3JfB78DjOnegWLG0/XV77lmeow5vw6gx45k0+Qc6d2wXRYgiuw0l3lIk1Dkg+EawUt0G3Dx6BmUrV0ut8x07+H7IS3z68C34jh0AbFy1PGhfJ+MffAh6xAGqNWyWWpayT+V6DTO0L71nRcpUCnpXqzVqpsR7FyxZuoyu3W9OU9aoQX0GPf8k7Y8+Ist9J07+gV9/n06zJo3p2O7IggxTspDTa1itamX+XrKMufMXst++zdK0nzNvAQAzZsWf5CyJM2Nm0HHRrMneceubNmnMqDHjmTn7TyXeItnQUBMpEspVqQ7A8T2eYN7kCQw4sQWPHFyJ17odx8oFf9Lmomtpf919qe1XzJvF2tWrKF+9FoddcmOaY+110BE063ASAKUrVk4tnzn+UwAOPucKKtVtkGafTrf0Sf05dh/JnW4XncsXHw7l71k/sv7vmfwycTTdL7uYeQsW0uXsrkz9dVqW+788+E0Arrz0gkSEK3Hk5hp2Oa4zAL0e6cf27dtTy/9ZvoKnnn8FgFWr1yT2BUgGa9auBaBixT3j1lesEEx8X61rJZIt9XhLkWDh15/L50znnVsvTO3ZnjtpHMNuPp+rh0/miG638NVLfVOX/Jsy/gvadTmVE+/rR7MOXVgyfSoVa9Wj+bFnsHTmb9Ter1XqcQAW/vQtP74ziIPPuZxrP/iRaeGqJg0OOZqa+xzAP3/+QfW9m6fZR3Kn5923pnneYr99efGpRylfriz9Bgzkwb79GP7mK3H3XbNmLcNGfEzJkiXpdtG5iQhX4sjNNex93+2MGjuBdz/4hOlHz6ZT+6PZsGEjH44cRd3atViwcDHFilkUL0NEpECox1uKhH/XBj0tM8Z/kiHxXTrjF1Yvmkup8hWo1njnKhhLFy/klfOOZtqo4dRq3pLDL7mRWs1bMvq/9/L1wMcA2LDynzTH+vD+q/nogWtZPncm+59wNq3PvYrN69cyuOsxqet+b1i5rCBfalK65vKLAfjym+8ybfN/w4azceMmTaospOJdw9q1ajJ53Mdcd9WlrFu/gRdeeZ2Ro8Zw7pmnMOy1F4BgoqVEK6VHe82adXHrU3rEK1WqmLCYRHZX6vGWImHF3JnUa9mGf9eujlu/KSzfo3SZNOVL/viZYTedl6F9xxt7AvDXr1My1P0w7BV+GJax17VG0xbs2L6dv3//KdfxS9aqV6sKwIaNmzJt88prQwDoftnFCYlJcieza1izRnUGPPkQA558KE352AnfAHDoQS0TE6Bkap9mwdjumbP/jFs/a3bQ6ZDZGHAR2anI93ib2WAzczO7P115h7C8WrryC81sopmtN7MNZvadmWX7lzw8z8cxz3uFx/9funYNw/LWMWVuZmdn9jyLc4wP27qZbTGzP83sUTMrZWZlzWyGmb0Q5zh9zGyxmRWZbsE5E8cAQfKbXvE9SlK1QROAHE16LFaiBC1OOo/tW7Yw7fP3cnT+hm3aUaluA2ZNGMnm9WtzHrjkyKTvg7sdxlv9AuC7KT8x9ddpNGvSmA5ts56AKdHI7hqm98bQdwG44JzTCywmyZmO7YJlVUeNGc+OdN8orlu3nm8mTaZs2bIc3uaQKMIT2a0U+cQ79C9wp5lVz6qRmT0GvAp8ABwCHAQMB/5nZn3zeN5LzWy/POybU68CtYEmwF3A9UAvd98IdAWuNLNjUxqHCX8P4HJ3X1mAcSXUtFHDWbt0MS1OPIe6Bxyapq79dfdRukIl5k4ax/rlS1PLi5cokTo2PEWx4sU58b6nqNqwKRMHP5WmPUCpchknF1WsU59T+7zEti2bGftUz3x8Vcnljxmz2LBhY4byefMXcuOdwefmi849I+6+A18NJlVe1e3CggtQspXba7hjxw7Wr8+49vMbQ9/j9SHvceRhrTn95OMLLmDJkb0bN+K4zh2YN38Bz72Upi+Jng89xoYNG7nkgnMoV65cRBGK7D6SZajJOKAecD9wU7wGZtaGIHG91d1jbz34mJltBvqb2XB3n5yL8/4JzAf6AqfmKfLsbXT3JeHPC8zsQuA44B53/y78wDDIzFoQfBB4DXjF3T8voHjyzb6dT2XfY04DoHy1mgDUa3UYpz8a/OLfuGo5ox7vAcDWTRt5/54ruPDFD7jszXH8MXoE65b+Rd0D29Cg9dGsX76Uj3pel+b4NevuRZcJ85kzcSxrlyyiZLnyNDn6OKo0aMLvn73L2GcyJtGnPjyQSnUa8Pe0n9i0ZiWV6jVkn46nULzEHgzv0Y2lM38tyLekSHt7+Ef0GzCQdkceRv296rJn+fLMmTufT0aN4d9/N9PluE7ccdPVGfZbu3Ydw0Z8RKlSpbj0wnMiiFxS5PYabty4iVpND+LYjm1p3KgBxawY3343hYmTf6D5Pk0Z9toLGdaNlmg8/9TjHNnpJG66417GjP+KcntWpPeDixj35dc0a7o3D/e8N+oQRXYLyZJ47wDuBt43s6fdPd5AtYuA9cDzcepeAB4CLgByk3gTnvdnM2vr7l/lct9cMbOWwFHAvJji3kAX4BlgGbAHcEdBxpFfajVvSaszuqYpq1J/b6rUD8YRrl48LzXxBpjz7RhePudI2l93L42P6Ezp8hVZv3wJ3w95iS9feJh1y/5Oc6x1q1ex4KdvaXBoW8pVrcHWTRtZMn0q457tza8fD4kb08zxIznk3CvZ74SzKFV2T9avWMq0UcP5euDjLJ8zPZ/fgeTSse0RzJz1Jz/98jvffDeFDRs2UqliBY4+vA0Xn38ml5x/FmYZV7h4c9gINmzYyPlnnapJlRHL7TUsVaok5515Kt9M+p7R44Jfj033bsRD99/FLdddSdmyZTI7lSTY3o0bMeXr0TzQpy+fjR7L8hUrqVO7Fjdf152e995J5cqVog5RZLdg8e7aV5SY2WCgmrufbGbjgKXufr6ZdSDoCa/u7svN7FOgjrvHncljZlOBxe7eJbvzhM97AWe7ewszexXY192PMLOGwFzgUHefErZ14Bx3fzfe8yzOMR44EthCkFCXJPiQca67vxez337AD0BxoJ27T8rkNXQHugNUrVTxkGcfeiBesyKjVI26bF62OOowCkTt5gdEHUKBW7/hX8qXKx11GJJHRf/6Fe1lENdv2ET5ckX3g1HHzsf+4O6ts2+ZP5qUK+YbtxftfCyR/t7M5+5+QtRxxJMsPd4pegATzeyJBJ/3AWCmmZ0J/JjPx34beBCoQPD6VsUm3QDuPs3M3iNI2uMm3WG7gcBAgDqlzWc82yOzpkXCPjc+RlF9jedPznhb+6JmwpQ/aN+6efYNpVAq6tfPShTlDxUwftLPdDi8VdRhFBkbtzvdGyZbSlZwHpyxrdCuQ5pUg+fC8dnvAY/HqZ4J7G1mpdJXhGV7h23yct6FwLPAo+Tsw846IN6CqJWA9LcGW+Pus939R+BioJOZdYuz77ZwExERkULGtOXbVpglVeIduhdoC6T/CmIIUA64Ns4+14V1b+3CeR8FqgNX5qDtDIJVVVKZWXGgZVgXl7tvBR4BHjWzsnkPVURERBLFTFt+boVZ0n2v4e6zzWwgcHO68klm9l+CVUxKASMAB84A+gCP5XJFk/TnXWVmj4THyk4/4FUz+x0YDZQFbgSqEA4FycJbBMn3DcTv2RcREZFCJhl7QpNRsl7n3sQZduHudxD0SJ8B/AxMBc4CrnT3u/PhvM8SrCySysxSrkFqPO4+BLgs3KYAnwG1gLYxSwfG5e5bgAHAXWaWcdFpEREREYlEke/xdvduccqWAXGTUnd/A3hjV8/j7r2AXunKNgMN0u1aK3z8O13bIQTDX7I6Z4dMyh8h6PXOND4REREpPAr7EAnJH0U+8S6swjHb9QlWIlkG/BJtRCIiIhIV5d3JQYl3dPYC/gCmEay7vSnieERERCQChnq8k4US74i4+zygaC/0KiIiIjmSrJPuko2us4iIiIhIAqjHW0RERCRiGmqSHJR4i4iIiERMeXdyUOItIiIiEiFNrkweGuMtIiIiIpIA6vEWERERiZg6vJODerxFREREomRQTFu+bdm+3WaDzGyZmf2WrvxGM5tuZr+b2eMx5feY2Wwzm2Fmx8eUnxCWzTazu3NyqdXjLSIiIhIx9Xgn1GBgAPB6SoGZdQROA1q6+2YzqxGW7wecD+wP1AG+MLNm4W7PAccCi4DvzexDd5+W1YmVeIuIiIhI0nD3L82sYbria4G+7r45bLMsLD8NGBqWzzWz2UCbsG62u88BMLOhYVsl3iIiIiKFlVY1yXfVzGxKzPOB7j4wm32aAW3N7GHgX+AOd/8eqAtMimm3KCwDWJiu/LDsAlPiLSIiIhIx5d35arm7t87lPiWAKsDhwKHAMDNrnN+BKfEWERERiVgx86hDSHaLgOHu7sBkM9sBVAMWA3vFtKsXlpFFeaa0qomIiIiIJLv3gY4A4eTJksBy4EPgfDMrZWaNgKbAZOB7oKmZNTKzkgQTMD/M7iTq8RYRERGJmIaaJI6ZDQE6EIwFXwT0BAYBg8IlBrcAl4a937+b2TCCSZPbgOvdfXt4nBuAz4HiwCB3/z27cyvxFhEREYmQocQ7kdz9gkyqLs6k/cPAw3HKRwIjc3NuJd4iIiIiEdOqJslBY7xFRERERBJAPd4iIiIiEVOHd3JQ4i0iIiISsWLKvJOCEm8RERGRCGlyZfLQGG8RERERkQRQj7eIiIhIlEyrmiQLJd4iIiIiEVPenRyUeIuIiIhETJMrk4MSbxEREZEIaXJl8tDkShERERGRBFCPt4iIiEjENLkyOSjxFhEREYmY8lwxw3MAACAASURBVO7koMRbREREJGLq8U4OGuMtIiIiIpIA6vEWERERiZChntBkocRbREREJGIaapIclHiLiIiIREx5d3LQNxsiIiIiIgmgHm8RERGRCJnplvHJQom3iIiISMSUdycHJd4iIiIiEVOPd3LQGG8RERERkQRQj7eIiIhIhLSOd/JQ4i0iIiISMa3jnRyUeIuIiIhETD3eyUHXWUREREQkAdTjLSIiIhIxDTVJDkq8RURERCJkQDHzqMOQBFDiLSIiIhIxjf1NDkq8Ja46+zTngZGvRx1Ggfpy2jLOGzMx6jAKxr9roo6g4O3YXnRfZ/GSUUdQ8HwHbN0UdRQFxouXijqEAueuHlqR3NIHLBEREZEoWTDGW1v+bNm+3WaDzGyZmf0Wp+52M3MzqxY+NzN7xsxmm9kvZnZwTNtLzWxWuF2ak0utHm8RERGRCOkGOgk3GBgApPlq38z2Ao4DFsQUnwg0DbfDgBeAw8ysCtATaA048IOZfejuq7I6sRJvERERkYhpVZPEcfcvzaxhnKr+wF3ABzFlpwGvezC2apKZVTKz2kAHYLS7rwQws9HACcCQrM6txFtEREQkYurxzlfVzGxKzPOB7j4wqx3M7DRgsbtPtbSfguoCC2OeLwrLMivPkhJvERERESlKlrt765w2NrOywL0Ew0wKlBJvERERkQgF63hHHUVS2xtoBKT0dtcDfjSzNsBiYK+YtvXCssUEw01iy8dndyIl3iIiIiIR0xjv6Lj7r0CNlOdmNg9o7e7LzexD4AYzG0owuXKNu/9tZp8Dj5hZ5XC344B7sjuXEm8RERGRiGmMd+KY2RCC3upqZrYI6Onu/8uk+UigCzAb2AhcBuDuK82sD/B92K53ykTLrCjxFhEREZGk4e4XZFPfMOZnB67PpN0gYFBuzq3EW0RERCRChoaaJAsl3iIiIiIR01CT5KDEW0RERCRKplVNkoU+YImIiIiIJIB6vEVEREQiZOEmRZ8SbxEREZGIaahJclDiLSIiIhIx5d3JQWO8RUREREQSQD3eIiIiIhEyNNQkWSjxFhEREYlYMfOoQ5AEUOItIiIiEjF1eCcHjfEWEREREUkA9XiLiIiIREhjvJOHEm8RERGRiCnvTg5KvEVERESiZOrxThZKvEVEREQiZGjSXbLQdRYRERERSQD1eIuIiIhEzDTUJCko8RYRERGJmMZ4Jwcl3iIiIiIRU96dHDTGW0REREQkAdTjLSIiIhIhA0yDvPORRx1AppR4i4iIiERMeXdyUOItIiIiEqWgyzvqKCQBNMZbRERERCQB1OMtIiIiEjF1eCcHJd4iIiIiEdPkyuSgxFtEREQkUqbEO0lojLeIiIiISAKox1tEREQkSoa6QpOELrOIiIhIhFJuoKMtf7Zs32+zQWa2zMx+iyl7wsymm9kvZjbCzCrF1N1jZrPNbIaZHR9TfkJYNtvM7s7JtVbiLSIiIhIxM235teXAYOCEdGWjgRbufiAwE7gnuC62H3A+sH+4z/NmVtzMigPPAScC+wEXhG2zpMRbRERERJKGu38JrExXNsrdt4VPJwH1wp9PA4a6+2Z3nwvMBtqE22x3n+PuW4ChYdssaYy37HZWrFrNiE/HM3LMN/w2fTaLl/xDyZIlOGDfJlx67ilcdt4pFCu28zPlwr+W0HfAYH78ZTrzF//NqjXrqFq5ItWq1+Tmy87k4jO7sMce8f8rvPbOx7ww+B2mzZpL8eLFOGj/fbjtmos5+Zi2iXq5RdK7H41iwrdTmPr7dKb+PoN16zdw0Vkn8cbzj2W6z/bt23l1yAjeeOcjfv1jFhs3/UvdWjU4tNX+9L77Rprt3TC1baPWxzF/4V9ZxvBgjxu4/7Zr8uslJZV3P/yMCd9OZupvfzD1t+nB9Tv7VN548ckMbWf9OY/hn4xi1NivmTVnHkv/WUHlShVo0qQpfe66jo5tD8/2fJs3b6F15zP4ffos6tauycJfvyqIlyXZ+OSz0Tzz/ECmTZ/JP8tXULdOLQ5p1ZJbb7yGIw47NOrwdnta1aRQuRx4O/y5LkEinmJRWAawMF35YdkdWIm37Hbe+XgM19/Tl9o1q9HhiEOoX7cWS5evZMSn4+h+50N8Nu5bhr3UN/WX2J/zFvPWiM9oc1ALTmvRgSqVKrBi1Ro+GPU1V97ehzff+5TP3nqWEiXS/ne4s89T9HvpTerVrsGVF57Olq1befuD0ZzW7Tae6XMn1192bhQvv0h4uP9LTP19BuXLlaVenZpMnzU3y/brN2zk9K43Mvbr72jVYl+6nnsq/6zdTPHtm/jqux+Z+ee8NIn3zVddwuq1azMcx9159OlX2LZtGyd2Ojq/X1bSeLjf80z9bTrly5ULr9+cTNs+8OhTvP3+SPbbpwknHtOeKpUrMnP2XD74dAydz5jEU4/8h5u6d83yfPc+9N9sP0hJwepxf2+e6D+AqlWqcNopJ7Jp8za2bNrAB598xnsffMxrLw/g4vPPiTrM3ZeFm+SXamY2Jeb5QHcfmJMdzew+YBvwZkEEpsRbdjvNGtfn/Vf/y0mdj07Ts/1wj+s4/ORuDB85luEjx3HWSZ0AOLL1gaz4fWyatgDnXvQXD/fpzbhvpzD803Gce8qxqXXfTplKv5feZO8G9fjuk9eoXKkCAHdccwmHntiVOx96mpOOOZqGe9VJwCsuevr17kG9OjVp0qg+E779nk5nXp5l+2vueJCxX3/HC088wNVdgw88E35ZSPsD9wJg69atadrfcvUlcY/z+bhv2LZtGwcd0JzWrVrkwytJTv363Eu9OrVo0rgBE76ZTKfT47/fAMd3bsddN3XnoAPTDn18+rX3uevu+7ir12Occ+oJ1K5VI+7+47/+jqdeHMxzj/fiujt75uvrkJxZsnQp/336eWrWqM7USeOpUaM6E76bSvvDWjJuwtd0PulMej70mBLvXaQe73y13N1b53YnM+sGnAx0dncPixcDe8U0qxeWkUV5pjTGW3Y7nY46lFOObZchka5VoxpXX3IWABMm/pBaXrLkHhnaApQoUYLTjm8PwOy5C9PUvfTGcADuuemy1KQboOFedbju0rPZvHkLg9/+KH9eUBLqeHQbmjZukKM/ND/+Mo23hn/CeaedkJp0p7fHHnvk6Lwvv/EOAN27KkHYFR3bHk7TvRvm6Pp1u+DMDEk3QKuWB9LhqDZs2bKVb7//Ke6+a9et57Ib76ZzuyO45rILdjluyZv5CxaxY8cODjv0EGrUqJ6mrmP7o9lzz/L8s3xFRNGJ5A8zOwG4CzjV3TfGVH0InG9mpcysEdAUmAx8DzQ1s0ZmVpJgAuaH2Z1HibcUKXuEw0VKlCiebdvt27czcty3ABzQvEmaunHfBN9QndDhyAz7ndApKBv37ZQMdZL/3hr+CQDnn9GFNWvX8X/vfsSjT7/MR5+MZPbcBTk+ztJly/lo1HjKlyvLhWeeVFDhSi6k/n8tHv//68339GHV6jW88vQjiQxL0mm6d2NKlizJ5Ck/sjxdgv3l1xNZt249x3RoF1F0RUfUK4EUpS3799qGABOBfcxskZldAQwA9gRGm9nPZvYigLv/DgwDpgGfAde7+/ZwIuYNwOfAH8CwsG2WNNREioxt27bxxrtBknZ8hyMy1C9fuZrnXh2Gu/PPylV89MVEFv/1FxecfjynHLvzj8aGjZtYvGQZ5cuVpXbNahmO07RRfQBmzsl50id5N+Xn4PfY/EV/0eSwE1mxcnVqXf+nB3BNt/N45uF7KJ5J8pZi0JARbN26jUvPO509y5cr0Jgle0uWLmXMVxMpW7YM7Y7MODFvxCejeG3oCF5+6mHq19OQrihVqVKZvn3u5/a7H2D/1m057eQT2bh5K88P2MiHIz/n2E7tefGZjBNrJecMDTVJJHeP9xXa/7Jo/zDwcJzykcDI3JxbibcUGfc8OoDfZvzJiZ2OyjTx7t3/5dTnZsbtV1/Mw3dfn6bdmrXrAai4Z/m450kpX712XX6FLllYFvaw3d7zCU4/sRN97r6RenVqMfCdL3jxxRd54dWhVK9amV53Xp/pMdyd/735HgDdLzk7IXFL5jZv3sLDjzzG5s1beKznXVSuVDFN/dJly7n6tvs58Zh2XHGxhgUVBrdcfzUN6+/FFdfdwiuD30gtb7J3Iy69+PwMQ1Akt3K+ALXs3jTURIqEZ/83lH4vvcm+TRry+tMPxm2zb5OGbF/0PVvmT2Ludx9x3TVX8fJbI+hwVndWrlqT4Iglp3bsCOa37NukEUMHPsm+TRtTvlxZDjn4IN75Xz+KFStG/xdfZ8uWrZke44svJzJn/iIOPnA/TaqM2Pbt2+l63Z389vs0zju9C3fccEWGNt1v/Q/btm3n5f4ZOpgkIo/3f5ZzLr6CSy86j9m/TubTTz5iytdf0LhhAy6+/Fru+k/837uSQ4VgeEZR2gozJd6y23vu1WHc0vO/7NesEWOGvUCVyhWzbF+8eHHq163F2Wecxgt972XSj7/S88mXUusrVgh6tNesWx93/5TyShX2zKdXIFlJeZ9PPq59huEkLfffl0b167Ju/Qb+mPVnpsd4+Y13AbhKvd2R2r59O5dccwfvfPApHdq3440Xn8zw9frrb4/go8/H8tQj91Gnds2IIpVY47/8hrvv78OpXY6nX98+NG7UkNKlS3NwqwMZPmQwdevUpt8zLzBn7ryoQxUp9JR4y27t6Vfe4qb7n6DFPnszZtiL1KqRcUx2Vk7sGEyUnDBp5yoo5cqWoW6tGqzfsJG/ly7PsM+scEJfs8b1dyFyyal9mjQEoFLFCnHrU1ad2bRpc9z6Zf+s4IPPxmpSZcS2bt3Khd1vY+iIT7jwrFP4z709MqydD8EqNgDdru9BsWrN0mwAi/9emvp89ZqMa7VL/vv4s1EAdGiXce37smXL0uaQg9ixYwc/Tf010aEVKWamLZ+2wiyyxNvMBpuZm1mGwexm9lhY93FMWS8z+y3mebewzRdx9nczOztd2WFm9qGZrTSzzWY23cx6mlnpdO3mhfu7mW0K291p2VzJ8PWkjzfD6zOzhmF565iyNPHGiz+Tc4yPiXWLmf1pZo9asORNWTObYWYvxDlOHzNbbGZVsnpNhd3jz73Gbb3602r/Zox550VqVMv9y1m8ZBmQcVWFjkcFl+ez8d9m2OezsUFZxyNzvUSo5EHndsGdDX+fPitD3ebNW5gVTnJtWL9uhnqAV4e+z9at2zj/jC6aVBmRLVu2cO7lN/HOB5/S9bzTef2FJzKdDHtE61ZcftHZcTeAsmXLpD4vVbJkIl9G0tq8eQsA/yzP2BERlAfzMErqeuySqIdnFKWtMIu6x3shcK6Zpf41NLMSQFcgJ0tGbAfam9nxWTUys1OBr4AVwDFAM+BBoDswyoL1F2P1BmoDzYEngUfCtrn1L3CpmWVcxDb/vEoQaxOC9SevB3qFa1B2Ba40s9Q7w4QJfw/gcndfWYBxFaiHnnqFex4dwCEHNmf00OepVqVSpm1//HU627dvz1C+adMmbun5XwC6dE7bk3P1JWcC8Ogzr7Jq9c5etXkL/+L5196lVKmSdDvvlPx4KZKNs046ljq1avD2B58x+ce0PWp9+r3ImrXr6HhUm7jfdsROqrxaa3dHYvPmLZzZ9Xo++HQMl190NoOe7Rt3Xf0U551xEq88/UjcDaByxQqpz8uUKZ3pcST/tD0y+PD78qtvsPivv9PUfTpqDN9Mmkzp0qU5UreN3zVRZ6tFaSvEol7V5BegDnAuQQIJcBJBwvolUDWb/f8FXgMeM7PR7r4jfQMzK0uwRMxId78spmq+mc0ApgA3A0/E1K1z9yXhz6+Y2bXAccBL5M6fwHygL3BqLvfNqY0xsS4wswsJYr3H3b8zs77AIDNrwc736xV3/7yA4ilwr73zMT2ffInixYtzdJtWPDvo7QxtGuxVm27nBolxn6de4dvvp3JE6wOpX6cWZcuUZuFfS/l4zNesX7+BI1sfyN03dEuz/5GtW3Jr9wvpP/AtWh17AWed1JktW7cy7MPRrFy9hmf63Km7Vu6C90eO4YPPxgKwZFnQizZxylQuu+k+AKpWqcSTve4EoFy5srz6zEOccvH1tDutK2d2OYY6tWsw+qsp/Prb79SoVoUXn4x/R8OxX33H7LkLOPjA/Tik5f4JeGXJ4f2Ro/lgZPBl487r9xOX3dADgKpVKvNk77sBuPaOBxj5xQSqVa1M3do16f3EAADmL1nFuM8rA9DhqMPocPRhiX4ZkkNnn3EKxwxuxxfjvmS/Q47ijFO6sGU79PvvGj7+dBTuzqMP/oeqVXfrL1FFEiLqxBuCpPhydibeKT83zuH+vYHZwEXAG3HqjweqAY+nr3D3H81sDHAhaRNvAMLhJe0Jer4zfs+dM3cDP5tZW3f/Ko/HyBEzawkcBcyLKe4NdAGeAZYBewB3FGQcBW3egr+AYKLW068Midum/eEHpybeV154OuXLluH7n6cxYeIPbNz0L5UrVqBZ0yZcdV4XLj//1LhjTZ984FZa7NuEF157h5ffHEGxYsU4uMU+3H7tJZx8TNuCe4FJ4Offp/Pa2x+kKZszfxFz5i8CoMFedVITb4Bj2x/Jd58N4aF+L/HFV5NYs3YdlStV5upLz+X+266hTia3G0+5U6UmVeavn3/9g9eGjkhTNmfeQubMC+4A22CvuqmJ99zwmi5fsYo+Tz6X6TGVeBdexYoV45PhQ3hu4CDefvd9Rnw0kg0bNlK1ShW6HH8MN157Jcd17hh1mLu9Qt5RK/nEdt6KPsEnNhtMkBBfAvwFHAisI+ghbkqQMFZz95PD9r2As929Rfi8GzDA3cubWU/gMmAfd99sZg6c4+7vmlkPgh7nKu6+Kk4cTwNXuXvZ8Pk8gqEbW4GSBInqv0Bnd8844Dfd64kXr5m9Cuzr7keYWUNgLnCou08J26bGG+95FucYDxwJbAnjLAnsAM519/di9tsP+AEoDrRz90mZvIbuhENqatasccjQN16N16zIWP/vNsqXLgyfPQuART2KrOCt37SF8mWK6JjSJPgLvH7jZsqXLRV1GAXHsr977u5s/YZNlC9XJuowCkzHzsf+4O4Jm8jTqlpxH3WS5qDkl5qvr0vo9cuNyLMOd19lZiMIerpXA+PdfUEuZ6X+F7iWYHxzv3wIqx9BT3x1gjsVjcoq6c6BB4CZZnYm8GM+xBfrbYLx6hUIxm6vik26Adx9mpm9R5C0x026w3YDgYEArVvu5+32i9+LWFR8OW0ZRfU12h5F9w9iigm/LKT9gXtFHUbBKF5EP1DEmPDzHNq3yukXm7uh0pnPOykKJnw3lfaHtYw6jCKlsK/GIfmjsHSLDSKYCHh5+HOuuPt6gh7y+8ws/W+7meFjZhMc94tpk2KFu89294nAWcAdZpbn79HcfSHwLPAoOfuwsw6Itxh1JSD9nV7WhLH+CFwMdAq/DUhvW7iJiIiISAQKS+I9hmC4RDXg/TweYyDBqiV3pysfFZbfmX4HMzsY6Ay8mdlBw+EpA4D+2S0pmI1HCXrQr8xB2xnAIbEFZlYcaBnWxeXuWwlWYHk0nFQqIiIiu4GoFwIpSlthVigSbw8Gmh8INHL3+HfByP4Y24B7CVYoiS3fAFwFnGRmg8zsIDOrb2bnAx8CXwNPZ3P454F9gDyvRxYm8I+kjy8T/YDLzex6M2tmZq0IPlhUCR+z8hbgwA15jVVEREQSqRBkq0VpK8QKReIN4O7r3H2XbkMWTkacGqd8BNAOqAGMJVih5EHgFeA4d9+SzXGXEayY0stsl2atPUuwskiqmOOlDgNx9yEEk0UvI1ju8DOgFtA2ZunAzGLdQtBDf5eZ6Z7mIiIiu4Goc9WitBVmkU2udPduual3915Ar5jng4HBcfY7PJPjTQROzkFcDTMpz/IGOtnFG5ZtBhqk27VW+Ph3urZDgPhr5e1s0yGT8kcIetczjU9EREREEivyVU2SVThmuz7BSiTLCG4mJCIiIsnGQKuaJAcl3tHZC/gDmEaw7vamiOMRERGRCBiFf4iE5A8l3hFx93lA6ajjEBERkUJAmXdSKDSTK0VEREREijL1eIuIiIhETGO8k4MSbxEREZGIKe9ODkq8RURERKKkVU2ShhJvERERkagp704KmSbeZvZAHo7n7t5nF+IRERERESmSsurx7pWH4zmgxFtEREQkhwzDimmhuWSQVeLdKGFRiIiIiCQzjfFOCpkm3u4+P5GBiIiIiCQl3boyaeTpew0zK2Vmdc2sZH4HJCIiIiJSFOVqVRMzOxh4EjgaKA4cC4w1sxrAEOBRd/8i36MUERERKbIMM43xTgY5TrzNrBXwFbAceB24LKXO3ZeZWRngUkCJt4iIiEhuaKhJUshNj3dv4C/gIKA0cHm6+jHAufkUl4iIiEjyUOKdFHLzvUZb4GV3X0+wbGB6C4A6+RKViIiIiEgBMLNBZrbMzH6LKatiZqPNbFb4WDksNzN7xsxmm9kv4bDrlH0uDdvPMrNLc3Lu3CTepYE1WdRXyMWxRERERCRkZtryacuBwcAJ6cruBsa4e1OCURx3h+UnAk3DrTvwQni9qgA9gcOANkDPlGQ9K7kZavIncEgW9Z2Aabk4noiIiIiYgSZXJoy7f2lmDdMVnwZ0CH9+DRgP9AjLX3d3ByaZWSUzqx22He3uKwHMbDRBMj8kq3PnJvF+C7jfzIYBP6XEHp7s9vBkN+fieCIiIiICWDGN8c5H1cxsSszzge4+MJt9arr73+HPS4Ca4c91gYUx7RaFZZmVZyk3ifeTBMsHfg5MJ0i6+5tZdaAWMBp4PhfHExERERHJb8vdvXVed3Z3N7N48xl3WY6/13D3LQSJ9x3AJuBfoBnB8oJ3ASe7+46CCFJERESkSDPTll9b3iwNh5AQPi4LyxcDe8W0qxeWZVaepVzdQMfdtwH9w01ERERE8oPGeEftQ4L70fQNHz+IKb/BzIYSTKRc4+5/m9nnwCMxEyqPA+7J7iS5SrxFREREJJ/lfDUOyQdmNoRgcmQ1M1tEsDpJX2CYmV0BzGfnvWlGAl2A2cBGwhtIuvtKM+sDfB+2650y0TIrub1lfGngJuAMoHFYPAcYATzr7ptyczwRERERkURy9wsyqeocp60D12dynEHAoNycOze3jK8OjAX2B9YSJNwAzQm63ruaWUd3/yc3AYiIiIgkPfV4J4Xc9Hg/AewH3AY8H062xMxKEnwSeDJs0y2fYxQREREp2pR4J4XcJN6nAP9z96diC8MEvL+Z7U8wBEVEREREcsgA0+TKpJCbq1wS+DGL+ilhGxERERERSSc3Pd7fAwdnUX8IMHnXwhERERFJNru0/rTsRnKTeN8OjDGzX4EXwjW9MbMSBGO8zyTObFARERERyYLplvHJItPE28zGxileATwF9DazlFVNGgMVgD+B/6LkW0RERCR3NMY7KWTV490YiHef+gXhY5XwcXW47cHOtb1FREREJKc01CQpZJp4u3vDBMYhIiIiIlKk6ZbxIiIiIpHSLeOThRJvERERkSgFC3lHHYUkQK4SbzPbG7iV4Bbxlcm4Dri7+975FJuIiIhIctDkyqSQ46tsZgcQ3EDnSoIb5TQGNgClgYbAdnZOvBQRERERkRi56fHuDWwB2hAsK7gMuNndx5rZVcAjwGn5H6KIiIhI0aYx3skhN4n30cBAd59hZlXDMgNw95fNrC3QFzg1n2MUERERKcIMdAOdpJCbxHtPgpvkQNDzDVAupv4b4NH8CEpEREQkaRiYxngnhdxc5aVALQB3X0cwvrtZTH1loHj+hSYiIiIiUnTkpsf7Z6B1zPMJwM1mNpkggb8BmJqPsYmIiIgkB43xTgq5SbzfAq43szLuvgm4nyD5HhfWbwLuzef4RERERIo+Jd5JIceJt7u/Dbwd8/wnM9sfOINgKcFP3X1O/ocoIiIiUnSZ7lyZNHbpzpXuvhB4Jp9iEREREREpsnTLeBEREZGoaVWTpJBp4m1mg/JwPHf3K3YhHhEREZHkYmiMd5LIqse7Wx6O54AS76IiGX4JFNXXuEfZqCMoeFasyL7OLc8U/ZsAe7Nr2DLgzqjDKDCl7hwbdQgFTmOS85fez+SQaeLt7vrOQ0REREQkn2iMt4iIiEikDIqpvzMZKPEWERERiZqGmiQFJd4iIiIiUTK0qkmS0FUWEREREUkA9XiLiIiIRMo01CRJKPEWERERiZqGmiSUmd0KXEmwFPavwGVAbWAoUBX4AbjE3beYWSngdeAQYAVwnrvPy8t5dZVFREREomamLb+2bN9qqwvcBLR29xZAceB84DGgv7s3AVax8940VwCrwvL+Ybs8yXWPt5k1BI4BagJvuvs8MysJ1AKWuPuWvAYjIiIiknxMPd6JVwIoY2ZbgbLA30An4MKw/jWgF/ACcFr4M8C7wAAzM3f33J40V1fZzB4DZgEDgd5A47CqNDANuC63AYiIiIiIJIq7LwaeBBYQJNxrCIaWrHb3bWGzRUDd8Oe6wMJw321h+6p5OXeOE28zuxq4E3gOOI5g8ZuUF7AW+BA4JS9BiIiIiCQtI/rhGUVpg2pmNiVm657m7TarTNCL3QioA5QDTkjEpc7NUJPrgBH+/+zdd3hU1dbH8e9KCEWKNAEFaQIqeq1YUQEVe3lVVLBi99qv3mtv12vj2rGDDUQBxYbYqQqKyMWGCII0UekogkJIst4/9gkMYUISSOYkmd/neeZh5pw9M2tyOMmafdbe2/0qM0uW5X8DXFY6YYmIiIikEZWalKbF7t5hI/sPBWa5+yIAM3sd6AjUNbMqUa92M+DnqP3PwLbAPDOrAmxJGGRZYiU5yu2AjzayfxHQcFOCEBEREUlrcfcSV6Zb0eYC+5rZFmZmwCGEkulRQLeozdnAW9H9odFjov0jN6W+G0qWeK8idMUXpgXw26YEISIiIiKSCu7+VI6qOgAAIABJREFUOWGQ5CTCVIIZhPGL1wFXm9kMQg33s9FTngUaRNuvBq7f1PcuSanJBOAE4IGCO8ysOnAmMG5TAxERERFJT8XuqZVS4u63AbcV2DwT2DtJ21XAyaXxviVJvO8DPjCzF4Hnom1NzOxw4N+EWpjTCnuyiIiIiBRCNd5podiJt7sPN7O/A4+wLsF+Mfo3G7jA3T8r5fhEREREKjdDPd5pokQL6Lh7HzMbSuhu34HwX2U68Eo0J6KIiIiIiCRR4pUr3X0+8GgZxCIiIiKShkylJmmixIm3iIiIiJQylZqkhWIn3mY2shjN3N0P2Yx4RERERNKPerzTQkl6vFsDBScLrwJsTZj/cDGwspTiEhERERGpVEoyq0nLZNvNrBphMvFzgE6lE5aIiIhIutA83ulis2u83X01cI+ZtQceBHpsdlQiIiIi6cJQqUmaKM3BlWOBe0rx9URERETSg3q800Jpfr1qBVQtxdcTEREREak0SjKrSfNCdtUHDgWuAEaXQkwiIiIiaUTzeKeLkpSazGbDWU3yGTCNkHyLiIiISEmo1CQtlCTxvoMNE28HlgI/AMPdPa+0AhMRERFJCxpcmTZKMp3g7WUYh4iIiEj6Uo93WijW1yszq2VmP5rZVWUdkIiIiIhIZVSsHm93X2FmDYAVZRyPiIiISJrR4Mp0UZIa7/FAB+CZMopFREREJD2p1CQtlCTxvh4YaWafAy+4e2EznIiIiIhISajHOy1sNPGO5u5e5O5/EZaDX0bo8f6vmf0I/FngKe7uh5RJpCIiIiIiFVhRPd6zgDOAgUBrwvSBc6N9jcswLhEREZH0YKZSkzRRVOJt0Q13b1nm0YiIiIikI5WapIWS1HiLiIiISFnIUI93OtDXKxERERGRFChOj/eBZlaSFS77b0Y8IiIiIulHNd5poTgJ9YXRrShGGHypxFtERESkuEwL6KSL4iTefQiL54iIiIhIWVCPd1ooTuL9ibu/XOaRiIiIiIhUYprVRCqcJUt/4433R/PuiLFMnjqDn+cvompWFf62QxvOPvVYzjn1ODIy1l2ymz5zLm+8N5IPR49n+qyfWLB4CfW2rEObtm254x/n0KVjhw3eY94vC+j/6jC++u4HvvpuGjPn/Iy7M23sG7RptW0qP25acXee6T+YZ18czHfTpuPu7NhuO84781QuPLvHesf1qqv/xdfffLPR1zvn9JN59tFeZR12WsrY4yQydz8Ra7QdYPjimeROep28/w0hVB0G1nh7MnY4mIzW+2L1msEWdWHlUtovW44tH4PP/37D196+Cxk7H4k12R6r2QCqVMWXL8B/mULuZ/3wX6ek7oMKAC133IM5c39Kuq9xo62YP0vHZLOp1CQtKPGWCufVYcO59IZ72bpxQzrv34HmTZuwYNES3nhvFBf+807eH/kpr/TphUWX7W6970leGfoR7du15siD96d+vS2Z9uMchn4whkNP+ZyH7/gnl5/Xfb33mPjN99zy3ycxM1o134Yt69Tit9//iOPjppUzL/oHLw8ZSqOtGtD9xGPZokYNho8eyyXX3MJnEybR78kH1rY94vCuHH9E56Sv81jf/ixd9htHHtopRZGnlyon3EPmLkfjK5aQN/k9fM0qMlrvS9Yxt5C77W7kvHnTurbH3EJGs13I++U78qaOwLP/JKPx9jRu0xE/fwA5Q64lb+qI9V4/Y/suZDTdmbyfJ5O3YhHkrsHqNSdjx4PJ2Plwct6+g7wvX0/1x057W25Zh6suvQiA2fPm07JZEwBq1awZZ1iVhGq804W5e+E7zfKAM1Rqkn467NreJ7z3YtxhJDVy7Bes/PMvjj70gPV6QOcvXMy+R5/NT78s4JU+vTjp6EMAeGHw2+y6U1t233mH9V6n98DhXHvDzZgZM8e/zdaNG67dN++XBcz66Rd2bd+WOrVrcXC3Cxnz2aQK0+NtNerHHUKJvTHsA0466++0arEtnw9/g4YNwmfIzs6m29mXMOyDkQzp9wQnHnsEAGMmTafTHm03eJ1p02ey4z6H0rhRQ+Z+O46srKyUfo7SkN37+LhDKFTGDgeTderD+LJ5ZPc9Df76LdpRhSqnPETm9p1YM/gfa5PpjL17kDd9LCxbv7f0x64P0H7/rvify8h+4BDIy1m3M7Mq5GZv8N7WqC1ZF7wMOavJvq/z+s8pZ6r9a2TcIZSqljvuAcDs7ycBMHr8V3Ted7c4QypTVnOr/7n7hpdDy0iHNo19woOnpertKr3M4x9O6fEriY1+vXL3DCXdUt4cfMBeHHvYQesl3QBNGjXkojNPAmDMZ/9bu73nqcdukHQD7LbL3+i0355kZ6/h04lfr7ev2TaNOXCf3alTu1YZfAJJ5s13PgTg6kvPW5t0A1StWpU7brwagMefKfrLYJ9+AwHoeVq3Cpl0l3cZO4QvtDmf9VuXdAPk5ZA76jEAMvfusW7zhIEbJN0AC+ZMJ2/JbGyLeljjAl+gkiTdAL5wOr5oJla9DtSseF8uRaT8MLO6ZjbEzKaa2fdmtp+Z1Tezj8xsevRvvaitmVlvM5thZt+Y2R6b+r4qNZFKJSsr/JeukplZvPZVovZVitdeys78BYsAaN2i+Qb7WrcIVxk++ewLsrOzqVq1atLXWL16NS8OfgMz44KzuidtI5vHajUId5b9vME+XzYvtGm+O2RUKbpHOjfan5dbvPeu3wJr2BJfuRT+WFTsmKV0rF69mgEDX2XuvHn8snAZvnoFBx2wH5nF/H0rG2FoVpPUewR43927mVlVYAvgRmCEu99rZtcD1wPXAUcCbaPbPsCT0b8lpsRbKo2cnBxeHPIOAId32b/I9vMXLGTkuC/YokZ1Dtpnk7+8Silp2KAeALOSDOCaOSdsy8nJYebsn9ih3XZJX+P1YR+weMlSunY+gNYtN0zgZfP5n1Evd92mG+yzes3Cv5lZWL1m+JLZhb5OnQaNyWjUJgyaXDgjaRtrtQ8ZzfeAzCysblMytg81+zlv307iAE5JjfkLFnLm+Zesffz4E0/SqmULnn/qETod2DHGyCoD1XinkpltCRwE9ARw92wg28yOBzpHzfoBowmJ9/FAfw/12eOj3vKt3f3Xkr63jrJUGjfc/RiTp/7IkQd35PDO+2207erV2dx1732sXp3NbddcSL26dVIUpRTmqMO6APDQE8+xdNm6EoY1a9Zw+70Pr3287LffC32Nvv0GAXDB2ertLit50z8GoMp+Z0L1hPMmowqZndclZdTYyDlVvQ477huVrHzwX/C8pM0yWu9Llc5/p8qB55P5tyNh9cpQPz5t9OZ+DCmhc87swYh3Xmf+zO9YuWgOzz3Th4vOO5vZc+Zy5Ak9+PqbyXGHWPFZhm6ldYOGZjYx4VZwIchWwCLgeTP70syeMbOaQOOEZHo+0Di63xRI7BWaF20rMfV4S6Xw6LODePDpAezQpiX9e9+x0ba5ubmcdcWtTP5uCqcc15VrLj4zRVHKxnQ/8VgGDH6TD0Z+zE77HcZxR3alerVqjBgzjl8XLKR5s22YO++XDWr7803/cRajx46ncaOGHH9U1xRHnz7yJr9P3i7HktGmI1UvfZO8aaPwnGwyWu2D1d4K/+0XrO42UNjA/awaZHXvTbU6dckZ9xx5Uz4q9L1yRzxC7ohHIKsG1qAFmfudTdbpT5A76nFyP+lbRp9Qkrntxn+t97hVq1ac0+MEatWsyQO9n+D2u+/jjUH9YopOZAOLixhcWQXYA7jc3T83s0cIZSVrububWalfWlOPt1R4jz8/mKtuvZ/27Voz4tWnqF9vy0Lb5ubmcubltzBk2HA6dzqQFx/9z9ppByVemZmZDB3Yl3tuu5atGtSn/6DX6D/oNdpu15Jx7w+hdq0w0LXRVg2SPr9P1NutQZVlzPNYM/BycoY/hK9cRsaux5G567H40rmsefZMPPvP0Gzl0g2fm1WDrNMeI6PFHsyd+hW5wx/esE0ya/7C508l540b8BmfktnlUmybnUrxQ8mmuvj8swH4eNxnMUdSCZjpVlq3os0D5rn759HjIYREfIGZbR0Oh20NLIz2/wwkTmnWLNpWYrEm3mb2gpm5mT2bZF+vaN+wJPsam9kqM5trtmFRlJnNNrN/Fti2g5kNNLMFZrbazGaZ2QP5I1YT2o2O3tfNLNvMfjSze8ysWhGf5XYzm5zwuGf0GsOTtHUz61ZYvMniL+Q9XkiINSf6eTxpZvXMLMPMxpjZu0le5zwzW2FmyQtlK5BH+r7MFTffx847bMeIV5+iSaOGhbZdsyaH0y65icFvfUiPE47g5uv/RZUquuhTnmRlZXHdlRfzzbj3+evXqSyb/TVvDHials2bMX3mbBo2qE+rFhtO55idnU3/Qa9rUGWq5OWQO+551jx1Etl37UV2rwPIGXxV6O2u3zwk3b8V+JtUdQuyTn+CjJZ7kTPuOX788tNNe+sfx2GWQUaLcjlTWNrZqmH4nbty5Z8xR1LRWerLMSrzrQjuPh/4ycy2jzYdAkwBhgJnR9vOBt6K7g8FzopmN9kX+H1T6ruhfPR4/wScEtXWAGBmVYCzgLmFPOds4G1gFXB4UW9gZnsDXwC1gf8jjEq9nDBK9VMzq1vgKc8DWwNtgGuBS4Hbi/2J1skFOplZkTFuhuGEWFsC5wPHAk+4ex5h0MABZnZBfmMzaw48CFzt7j+WYVxl7r+Pv8DVtz/Ibju1Y8SrT9OoYeHTi2Vnr+GUi65jyLDhnNntaPr3vkMj8SuQQa+/TXZ2Nt1POjbp/jeGfciixUs4tFNHDaqMUcbOR2BVqpI7+b31d1SrRdYZT5PRYk9yPu5T/J7uZGo3Cv8WcyYUKVvjJ0wEoHWrFjFHUsEZ8SerlelWPJcDL5nZN8BuwN3AvUBXM5sOHBo9BngXmAnMAPoCl2z4csVTHrr7vgG2AU4hJLwARxOS6o+BZNeVzwX+RfhBnQe8l6QNABbqCJ4DfgCOixJSgLlmNonwQ7yLkFzn+zP6NpTf7jTgMOCGEn62VYRRsb3M7KOE9y5NqxNinWdmg1k3SneWmf0DeMjMPgLmEH4WY929TxnEkjJ3PvQMt93/FHvusiPvv/zYRstLVq/O5qTz/8V7I8dxbo/jefq/NxVaJyzxWr78D+rUqb3etq++ncK1t91Lvbpbcv2VFyd9Xt/+Ye7uC3v2SLpfSlnVmpC9cr1N1nh7qnS9Gv/rd3LHPrduR/XaIeluujM5ox4n9+OnN/7amVlYw1b4gh822GXb7ERmh5PxvBzyZowtjU8ixfD91B9ovm1TahZYoXL2nLlcdk0oiz2je7dkT5Vi06wmqebuXwHJLp0dkqSts36euMnKQ+IN8Cwhmc5PvPPvty7Y0MwOJCTj7wOTgZvMbCt3L2xS192AnYDTCya+7v6Lmb0E9DCzyzzJMp5mtivQEZi9KR8MuIOQ3J8OlOlSkGbWGjgCWJO/zd2fjabHeR54jfDz2Lks4yhr/V4Zxm33P0VmZiYH7L0bjz43aIM2LZptQ89TQ+/o36+/h/dGjqNh/bo0bdKI/zwUBmXNWbiSUY3CH5JO++1J5/3XP//Ouer2tfenzpgDwPV396Z29MfnvNP+jwP2rrwrt8XhsBPPokaN6uy0Yztq16rJ1B9+5J0PR1GjenWGDuzLNls33uA5M2bOZtQnYVDlcUceGkPU6SfrzD6QswpfOAPPXok1bE1G2wMhZzVrBl4OK9b9Os465SEymu6ML50LlkFmp78D0LJBBzK3DrWYeVNH4gumhSdUqU7Vi4eQN39aeP0/FmBZ1bGGrbFWewOQ+9GDG52qUErX4Nfe5IHeT3BQx/1o0XxbateqxfiJXzHhiy9YtWoVRx1+KP+8slRyEpFKr7wk3i8D95tZW+APQvJ4OSFpLeg8YLC7rwFmmdkEQunJ/YW8drvo3+8L2T+FUKKxFeuK6C80s55AFlAVyGMTv+m4+wIzux/4j5m94u6rN+V1NuIIM1sBZALVo21XF2hzAeFLykFA94Qe8vVE0+1cCNC4cSM+/m5BKYdaOsb8L/SE5ebm8sgzA5O22XWXv9F65/BH+qupswFYvPS3tUl3QWefsZKMLdevHe7/6gbDC3jj3VFr72/dog15NbcucfwpkbEk7gg2ye577sXI0aOZ+NXrZGdn07BBA44+6khO73Eq1KjPmEnT17Zd8ecqxkyaztN9n8HdOeTgQ/j029nxBV+KvF3ynv3yYttFf9C4RRuqb7MLmZlVWP3XCpb8OJW5Uyaxutpe0G6vtW333WoHagBWvzlVOv997fZWAIR231dvx/xZIfE2y6D5N59Tt9E2bNGmE1nVqoPDqr9Wsnz2dH6e/i3Ll2wB5fxnZOO/ijuEUlO3YWP23msvvp0yjTFjP2PVqlXUrFmTndq3p2vXQzms66F8OmlK3GFWfBronxbKReLt7svM7A1CT/dvwGh3n1twtgkzqwOcDBycsPlFQqJZWOK9KQYD/wbqECZOX+bur23G6z0A/J2QvD+4+eGt52NCslyDkGBvB/RObBAl/08D3dz91cJeKCo/6QPQYdf2ftBOG/YulgcH9bqa53oV/G5RuEnvPZ90+8ffLWBjnzH354kljq28sBoVczntTnvcSFg4rGhjJk2n0x5t6fRkL15+slfZBpZi2b03GFtdvkRVIHnRLYPQc7FVsrYPPEWy3oZP213M/j88BYRLm+td3py27m7+2peZQL3oVhFUO35k3CGUms777sZVF5293rbR47+i87664leqVGqSFspF4h15jlAPvQK4tZA2pxGW9BxXICnPNLOO7j4uyXPyCwXbA18m2d8eWEaYSD3f7+4+A8DMzgC+M7Oe7v5CMT/Letx9hZndQej1fq7IJ8ByIFnRcl2g4Oohf+bHClxhZqOAW9hwMGgO6/6GiYiISLmhGu90UZ6O8gggG2gIvFlIm/OAxwh1yom3d6J9yXxFKDO5puDUg2a2DaH2emCy+m6AqKTlbuAeM9uiJB+ogD7AEgpM0F6IacCeSbbvwXp9QUn9G7gu+mwiIiIiUk6Um8Q7Snx3AVolq4M2s10Io0/7uvvkxBuh3OQUM6td8HnR655LqPV+y8z2M7NtzexowlR8c4CbiwjvZcCByzbj8+UQrqFfWYzmDwGHm9ktZtbezHYys7uA/aJ9G3uf0YS69aI+k4iIiJQHBmRk6FZat3KsXEXn7n+4+/JCdp8PTHf3b5LsG0b4LPlziWWQUFbh7uOBvYGVhMnQfwQeJ8yMsr+7LysirmxCT/u1yZL74nL3IcDXSXYVjPdTwhzjhwFjCXXcHYFD3P3bYrzVA8B5ZqaJVUVERCqCuFd7rEy3cizWGm9371nc/e5+xUbarSTUfmNmmYRylV8LtJkCFLmknbt3LmT73YSSk8KedzsJddVRPfgLSdrtm/h4I/F+CHxYRKw9C9n+MqGXvtD4REREpLxQjXe6KE+DKzdbtCpjT0IP8ifxRlO0ihaviIiIiGy6SpV4E0pIZgBnuPsvcQdTDBUtXhERESkL6vFOC5Uq8Xb3rLhjKImKFq+IiIiUAaPc1yZL6ahUibeIiIhIxaMa73ShoywiIiIikgLq8RYRERGJm3q804ISbxEREZG4KfFOC0q8RURERGJV/hd+kdKhr1ciIiIiIimgHm8RERGROBkqNUkTSrxFRERE4qbEOy0o8RYRERGJlWq804USbxEREZG4qcc7Legoi4iIiIikgHq8RUREROKmHu+0oMRbREREJE5mSrzThBJvERERkbhlaHBlOtDXKxERERGRFFCPt4iIiEjcVGqSFpR4i4iIiMRKNd7pQom3iIiISJy0ZHza0FEWEREREUkB9XiLiIiIxEpLxqcL9XiLiIiIxM50K7VbMX/iZplm9qWZDYsetzKzz81shpkNNrOq0fZq0eMZ0f6WxX6TApR4i4iIiMTNMnQrrVvxXQl8n/C4F/CQu7cBlgHnRdvPA5ZF2x+K2m0SJd4iIiIiklbMrBlwNPBM9NiAg4EhUZN+wP9F94+PHhPtPyRqX2Kq8RYRERGJm2q8S1NDM5uY8LiPu/cp0OZh4FqgdvS4AfCbu+dEj+cBTaP7TYGfANw9x8x+j9ovLmlgSrxFREREYmWoCKFULXb3DoXtNLNjgIXu/j8z65y6sJR4i4iIiMRPPd6p1BE4zsyOAqoDdYBHgLpmViXq9W4G/By1/xnYFphnZlWALYElm/LG+nolIiIiImnD3W9w92bu3hLoDox099OBUUC3qNnZwFvR/aHRY6L9I93dN+W91eMtIiIiEidDPd7lw3XAIDO7E/gSeDba/izwopnNAJYSkvVNosRbREREJFaq8Y6Lu48GRkf3ZwJ7J2mzCji5NN5PibeIiIhI3NTjnRb09UpEREREJAXU4y0iIiISN/V4pwUl3iIiIiKxUxFCOlDiLSIiIhIrU493mlDiLSIiIhI3U493OtBRFhERERFJAfV4i4iIiMROpSbpQIm3iIiISJy0cmXaUOItIiIiEitTjXea0FEWEREREUkB9XiLiIiIxMxUapIWlHiLiIiIxE5FCOlAibeIiIhIrLSATrrQ1ysRERERkRRQj7eIiIhI3NTjnRaUeIuIiIjETkUI6UCJtySXmYXVaRp3FGUrc1kl/oxp0HNiGZC1RdxRlImq13wYdwhlziZMpuqxlfdz+uo/4g6hbHle5f+MqaQFdNKGvl6JiIiIiKSAerxFREREYqVZTdKFEm8RERGR2KkIIR0o8RYRERGJm3q804K+XomIiIiIpIB6vEVERERiZWGmJqn0lHiLiIiIxE6lJulAibeIiIhI3FTjnRZ0XUNEREREJAXU4y0iIiISJ0M13mlCibeIiIhIrLSATrpQ4i0iIiISOyXe6UCJt4iIiEjcVGqSMma2LdAfaAw40MfdHzGz+sBgoCUwGzjF3ZeZmQGPAEcBfwI93X3Spry3jrKIiIiIpJMc4Bp3bw/sC1xqZu2B64ER7t4WGBE9BjgSaBvdLgSe3NQ3Vo+3iIiISOxUapIq7v4r8Gt0/w8z+x5oChwPdI6a9QNGA9dF2/u7uwPjzayumW0dvU6JKPEWERERiZUGV8bFzFoCuwOfA40Tkun5hFIUCEn5TwlPmxdtU+ItIiIiUvEo8S5FDc1sYsLjPu7ep2AjM6sFvAZc5e7LLeHLj7u7mXlpB6bEW0REREQqk8Xu3mFjDcwsi5B0v+Tur0ebF+SXkJjZ1sDCaPvPwLYJT28WbSsxDa4UERERiZuZbqV1K/JHbQY8C3zv7g8m7BoKnB3dPxt4K2H7WRbsC/y+KfXdoB5vEREREUkvHYEzgW/N7Kto243AvcArZnYeMAc4Jdr3LmEqwRmE6QTP2dQ3VuItIiIiEidDgytTyN3HUnhR/SFJ2jtwaWm8t0pNRERERERSQD3eIiIiIrFTj3c6UOItIiIiEivN450ulHiLiIiIxE6JdzpQjbeIiIiISAqox1tEREQkbio1SQtKvEVERERip8Q7HSjxFhEREYmberzTgmq8RURERERSQD3eIiIiIrEyVGqSHpR4i4iIiMRNpSZpQYm3iIiISOyUeKcD1XiLiIiIiKSAEm8RERERkRRQqYmIiIhInAxMNd5pQYm3iIiISOyUeKcDJd4iIiIisTLNapImVOMtIiIiIpIC6vEWERERiZ16vNOBEm8RERGRuKnUJC0o8RYRERGJnRLvdKAab6k0lixZyjMvvMSJPc6h7a77scVWrajbtB0Hdj2OZ/u9TF5e3nrt7+31XzJqb73R26HHnBzTp0lP6x/Dfdliq5bUbdq20GOYzPmXXk1G7SZk1G7CjB9npSBqyVfScxBg9erVPN7nefbpfCRbtWhP7Sbb0X7PA7niXzczZ+5PMXyK9Obu9O03iH0PPYHa2+5MrWY7sdfBx/HU8y8lPX4LFi7i8utup/VuB1G9yQ40atuBE8+8mElfT44hepHyTz3eUmm8+ubbXHLV9WzdpDFdDtqfbZs1ZcHCxbzx9rtccNk1vP/RSF55se/auVIP6NiRffbcJelrDRg0hJmz5nBE14NT+RHSXjiG10XHsGN0DBdFx/Bq3v9oBK+8+Eyh892+/e6HPNf/ZWrVqsmKFStTHL2U9BzMycnh0GNOZtz4L9ihXRu6n3wC1apWZeKkr3jsqWd5ceCrjBs+lPY7bB/zJ0sfZ170D14eMpRGWzWg+4nHskWNGgwfPZZLrrmFzyZMot+TD6xtO3vuPDoe0Y1f5y9k7z125YRjDmfxkqW8PuwD3vlwFENf7svhhxwU46epYFRqkhbM3eOOQcqhDnvs6l98/EHcYZTIyDFjWbnyT44+4lAyMtZdzJm/YCH7dD6Sn+b9wqsD+nLS8ccAMGbCZDrtvfMGr/Pbb7/TtN1u5ObmMW/aJBo2bJCyz1B6KuYv8KKP4c+8OuAZTjr+GMZM+JZOe/9tbZtFixazy75d6Hzg/sxfsJAxYz/jh68+o812reL4KJupYv5eLsk5OGbCZBb+PItTz7qQQzofyAdvDVrvObfddR//ufdBep7RneeefCiOj7N51vwVdwQl9sawDzjprL/TqsW2fD78DRo2qA9AdnY23c6+hGEfjGRIvyc48dgjGDNpOg89cB9D3xvO5Rf25OF7bln7heqHGTPZ6+D/o1atLfjhi5HUrLlFnB9rk2TUb/0/d++QqvfrsPuuPnHMu6l6u0rPtmyW0uNXEio1kUrj4E4HcOxRh633xxugSeNGXHTuWQCM/uSzIl/nxUFD+OuvVZx43FEVNOmuuIp3DD9N+tyLrvgXAI89cE/ZBimFKuk5OHPWHACOOvyQDZ5z/NGHA7B48ZKyDFkSvPnOhwBcfel5a5NugKpVq3LHjVcD8PgzLwIhGX9v+BgyMjK486ar17sK1a5Na845PfSEv/b2+yn8BBWYEXq8dSudWzmmxFvSQlZWFgBVqmQW2faZF14C4ILRJwlSAAAgAElEQVRzzijTmKRksrJCZVyVKhtWyL0wYBBvDnuPpx65jwYJCYOUH8nOwZ12DCUk7380coP64WHvDwfgkC4HpihCmb9gEQCtWzTfYF/rFtsC8MlnX5Cdnc3y5X+wZs0aGjaoR+3atTZs3zK8xsiPk39RFklXqvGWSi8nJ4cXB74KwBGHdtlo288+n8i3331Puzbb0eWgjqkIT4phY8dwztyfuOq6WzijezeOP+aIOMKTIhR2/I4+4lBOPO4oXh/6Lrvs04VDuhxI1ayqTPrqG8Z+NoHLLj6PSy88J66w007DBvUAmJVkUOvMOWFbTk4OM2f/RO3atcjMzGTxkmWsWLGSWrVqrt9+9lwApk2fWcZRVyblu6dWSod6vKXSu/7Wu5g8ZSpHHXYIhxeRePd9fgAA5/c8PRWhSTFdf+udSY9hXl4ePS+6glo1a/LIf++MMULZmMLOQTPj1QHPcOsN1zBt+o88+uSzPND7SUZ9PI6DOu7LaSefkPQKh5SNow4Lx+ahJ55j6bLf1m5fs2YNt9/78NrHy377nWrVqtHlgH3Jy8vj1nvWr8GfMXM2z780JLT9/fcURF5JmG6ldivH9BtNKrXeTz7Dg48+xQ7t2tC/76Mbbfv778t55Y2hVK1alZ6nn5KiCKUo645hW/r3fWy9fQ899jRjxn7GsCEDqFevbkwRysZs7BxctWoVZ194Be99NJLHHryb448+gi1q1GDc+Alcee0tdDriBF7p30dXMlKk+4nHMmDwm3ww8mN22u8wjjuyK9WrVWPEmHH8umAhzZttw9x5v6ytx3/o7ls44MiTefjJ5xj/xZfsv8+eLF6ylNfefp+2rVvy1bdTyDD17xVfOc8YpVTojJBK67Gnn+Oqa2+h/Q7tGPnua9SvX2+j7QcMfo0///xLgyrLkceefparrr056TH86ad53HzHvfQ8oztHHX5ojFFKYYo6B+998DFefeNt7rz1ei469yyaNG5EnTq1OfKwQ3j1xb6sWbOGq667Jabo009mZiZDB/blntuuZasG9ek/6DX6D3qNttu1ZNz7Q6hdK9RyN9oq/H7cacd2TBw1lLO6n8iceT/zaJ9+jBn3OVddfC69e922XlsRCZR4p4CZvWBmnuS2W7T/ajPLNbO7Ep4zupDn5N9mJ7Td4PkJ+zpH7Rum5MOWEw8/3ocr/nkTO7ffgZHvvkaTxo2KfE7+oMoLzz2zrMOTYijqGM6ZM4fVq1fzwoBBaxfMyb+NGRtmzmi3235k1G7Cm2+/F8dHSGvFOQffef8jgKTjKXb9207Uq1eXOXPnsWTJ0jKPV4KsrCyuu/Jivhn3Pn/9OpVls7/mjQFP07J5M6bPnE3DBvVpFQ20BNiuVQteeOJ+fp4yntULpjHr60/4z01X88OMsHhVh92Tr5UgScQ9E0hlupVjKjVJneFAwYxucfTvecC9QE8zu9Xdc4ETgarR/vrAd8BJQP4Q8dyE10n2/LTV68HHuOG2u9htl5358K1Bxeq9/vyLSXz97Xe0a7MdnQ/cPwVRysb0evDRhGM4OOkxbNKkMeeedVrS57/7wXDmL1jIySccS+3atWmZkChI2SvuObh6dTYAi5JMGbh69Wr++GMFEKazk3gNev1tsrOz6X7SscVqP+CVNwE4rdtxZRlWJVIBipMrGTM7AngEyASecfd7U/G+SrxTZ7W7zy+40cz2AxoCtwOnAkcCw9x9aUKbnOju0oKvUdjzyyD+CuE/vR7ktjvvY8/dd+GDNwcVWV6Sr080qFJTCMYvHMP/RsdwcKHHsE2bNpx32glJ93U58gTmL1jIXbfdWEEX0Km4SnIOHrD/PkyeMpV77u9Nx333olq1amv33X73/eTk5LDXnrslna5Oysby5X9Qp07t9bZ99e0Urr3tXurV3ZLrr7x47fbVq1cDrHfc3J27H3yC0WPHc+oJx7DHrhsuUiaFKOc9tZWJmWUCjwNdgXnAF2Y21N2nlPV7K/GO3/nAIHdfY2YDosclSZw39/mVRr+XXuG2O+8jMzOTA/bfh95PPbtBm5bNt6XnGaeut2358j945fW3qFatGmefdnKqwpUk+r00mNvu/G90DPel91PPbNAmHMPuMUQnRSnpOXjTv65k2HsfMWL0J+y454EcfmgXalSvzqeff8GEiV9So0Z1Hu71n1R/jLR22IlnUaNGdXbasR21a9Vk6g8/8s6Ho6hRvTpDB/Zlm60br207/cfZHHT0qXTtfAAtmjdjzZo1jPz4U76dMo0D9u3A0w9tUP0oUl7sDcxw95kAZjYIOB5Q4l2JHGFmKxIefwKcDJwCdIm2vQjcaGZNkvWOF2RmtTbn+Ule70LgQoDGjRszZsLkkr5ErEZ/OhGA3NxcHnm8b9I2u+66C63a7QTAipV/MWbCZN4a+jYrV/7JwV06893MX2HmrymLWda3/jHsk7RN/jEMx+/bpG1++2MlABO+mcbPS1YkbSOlryTn4IqVfzFj3hIe7f0IAwcNZvznn/Nc/4G4Ow3q1+eIww+jR/dTybbqFe53EQCeV3Sbcmj3Pfdi5OjRTPzqdbKzs2nYoAFHH3Ukp/c4FWrUZ8yk6QCs+HMVv/22ij333JOxn0/irfeGU6VKFVo0b84Vl1/KcccczZcz5gMl/lOUlv735dcfWM1GaTUWq4xVN7OJCY/7uHviH5WmQOKE9fOAfVIRmLl7Kt4nrZnZC0BzoqQ28hehLOQad98xoe04YKi790rY1hBYBHRx99EJ288v6vlm1hkYBWzl7vk15UXqsMeu/sXHH5TgU1Y8YyZMptPelfUyaOW/ZDlmwrd02vtvcYdRRir/7+XKff4Ba/6KO4IyNWbSdDrt0TbuMMpMRv3W/3P3DnHHIWXDzLoBR7j7+dHjM4F93P2ysn5v9Xinzp/uPiNxQ5Q4b59Qww1hppmtgF4UbXOfLyIiIpJufgYSR903i7aVOSXeMTGznQiXNbqy/rW4GsA4MzvI3T8uq+eLiIiIpKkvgLZm1oqQcHcHkk+TVcqUeMfnfOBLdx9ecIeZjYj2byxxLunzdzaz3wo0/ca9ghYiioiIiGwCd88xs8uADwjTCT7n7t+l4r21gE4MzKwqcAYwpJAmrwLdzGzLUnz+KODLArctSh69iIiISMXm7u+6ezt3387dUzYFj3q8U8DdexZ4nE2owy6s/XPAcwmPF5MwWq6Ezx9NOoy0ExERESnn1OMtIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpICSrxFRERERFJAibeIiIiISAoo8RYRERERSQEl3iIiIiIiKaDEW0REREQkBZR4i4iIiIikgBJvEREREZEUUOItIiIiIpIC5u5xxyDlkJktAubEHUcZawgsjjsI2WQ6fhWbjl/FVtmPXwt33yruIKTyUeItacvMJrp7h7jjkE2j41ex6fhVbDp+IptGpSYiIiIiIimgxFtEREREJAWUeEs66xN3ALJZdPwqNh2/ik3HT2QTqMZbRERERCQF1OMtIiIiIpICSrxFRERERFJAibeISDGZWeO4YxARkYpLibdIKTCz7mZ2TtxxSNkxs4OAsWZWN+5YpOTM7HAzaxh3HCKS3pR4i2wmM6sOnA60jh7rvKqcGgPVgD/iDkRKxszqAy8CB8cdi4ikNyUIIpvJ3VcBs4EDo8d5sQYkpcrMLLo7Ovp3r5hCkU23BlhKWOZcRCQ2SrxFNoOZVYnuTgJqxxmLlA139+gqRi7hd2brmEOSYsj/wmRm5u5/EL447R5ty4wxNBFJY0q8RTaBmTUxswx3z4k2fQo0MrOdVWpSOZjZAWZ2spltBWzh7kuB94Dtov06zuVbFQhfnKLHPwP7R9ty4wqqMjOzWtG/VlRbkXRVpegmIpLIzI4DHgJWmdk44BsgE/gLqOPueVFSrpKTCihKGpoBzwENgGVAdTMbCZwMfGpmd7t7ro5z+WRmJwKXmdnHwHzCF6apwC9mVsvdV+jYla7oC+pkM7va3V+KOx6R8korV4qUkJm1BtoRes8aE2q7VwAdgFeAq939F/1hr9iiQbMQyhN2ISThRwM1gPeBW909R8e5/IjKStzMrga2BdoDOwArCSVCVYEL3P3ZxPaxBVyJmFlt4AHgTOBMdx8Sc0gi5ZISb5FiihLuGsAad/8hYXuN6O55QDfgV+Cf7v6zkrKKxcw6Eb5QZQDj3H10gf11gH8CRwEjgBujnm8lcOVANNXjciDT3ddE5+YaoBUhAT8a6Azcl5B86xwtJdH5cTtwBdA9WfJtZlWBHdz9mxSHJ1IuKPEWKQYzOxO4GmgKLAYGuPvd0b4q+bXeZnYp0AOYBdzs7nNiCllKyMzOB+4klCRsB+QAl7r7u9H+jKiMqA5wHXAI8BVwiRK3+JnZycD5hKtQPwM93X1RgTbtgH8Qjt097v58ygOthAr8Diw0+Y6S7seBs4BGwHJ9YZV0o8FBIkUws4uAvsCjwAXAD8C10YIqROUGmdH9x4EBwD5Az1gClhKLku7HgcuBLoSrFw2A/7MgP+mu4u7LgXuBiYRxMkocYhadoy8AY6Lb34BhZrZFYrvoStUjwAdAbzM7OsWhVhpm1tTMOkL4HZi/PTo//g30BgaZWbeofTXgQeAUoKO7/66kW9KRBleKbISZ9QCeBI509w+ibTWA4wg9NkCYJSG/18fdnzKzhcBbsQQtJRIlX30ItfmvRttGEgbLbkdUXgTk5ScY7v6HmV0L/BXVFKvUJCZmdjbwBOEc/TDaVodwjm4LTIu25Z+fU82sD2Hu/ffjibpiM7NGhEHlK83sW+A+YIq7LwRw99/N7D9R80FmdjphrMS5wAHuPimOuEXKAyXeIklEM1s0AK4HviXUjebrFv3bORrJvyi6nLo28XL316PXydTUZeVeU0JpUBsza+XuswiDZLciJNwfAYvNbCyhp3Squ2e7+5+gAXpxMrOdgF7AiPykO9IMqAfsH9V9T3P33/J3uvu3hPNa5+imaQjMJJRmHQLcADQzs1uAye7+g7svM7NbCb8XB0b/dnD3L+MKWqQ8UI23SBIJsyMcBtwELCH06lwJ7Ab0I0xT1h3YkbAq3h+EutIf44laSsLM2rr79Oj+xcCFwHigLSGxOJ/QW9qZMIvNP4BawCB3/3scMcv6opk0bgEOAD5x9+vMbBBhpqE3CPXeLQiDKwcAc939objirejMrLG7L4juPwm0dPcjzawt8H+E6TarAq8DzwK/AAZcCwx19ynxRC5SfijxFinAzA4FjgeucfdsM+tKGCzUnLB64R7RYir5U85VIwwkagpclljvKOWTme1FSAz6u/v90bZLCMexIdDD3T8q8JwGhC9do9VDGi8zOxzIdvdRUfJ9HdCVcJXiL2B/d/89arslYbzFwYRje6AGw5acme1KWCjsBHf/MJrl6Umgl7uPjNqMIpT31ATmEK4UnufuP8UUtki5o8GVIgmiQZJdCQPs7jKzqlECdjNhpoTphIFb+XKjQUL/cfeLEwdaSrn2G6HU4EQzuwLA3Z8gXNX4GehmZjvmN47qg5e4+4ionl/HOCZm1pAwCPYZMzswWg6+F6EMyIHxCUl3ZnR+PkKYbeiAaJCsVlYsgYSk++GEkp75hJ93/uDJfoSrf4cRrhC9QlhYrMYGLyiSxtTjLVKAhWWP/0WYq/kT4Pqo5/tQ4A5gEdDb3UdE7TUPcAWSUEa0HXAj4YvUAHfvHe2/hDB7zUTgAXefGl+0koyZdQYuISR6l7n7mISe78OAsaw7b7PcfU3Cc1WTXwJmtj3wBfC4u98QbcuMvoDuBgwiLCDWjDDA9cuojQFZ7p4dU+gi5ZJ6vEUSRH9QVhB6Pj8g1IreG/V8DwduJVyuvszMjgJQ0l0xJPZyRsnXj8A9wGTgjAI9308TZmH4j5m1iCNe2VDCtJ2jCdN7/gA8ZmadEnq+PyTUfN8dnbdrEl9DSXfxRYn1eMLYhs8Sfv65ZpZBKCf5gVDic1Bi0u2Bkm6RApR4S9ozszZRb1n+H5T85Pte1iXft0XlBsMJZSc7AQfFFrSUiJkdBxwT9X56tM3cfQZwF6Hs5JRo+kjc/SngJUJPnupTYxaVl6w9P6P7nwAPsy757hgl3/cC7xFKIC6KKeQKL0q6PyXMe/4AoWf7ZDOrAqHDwd2XAa8CTQiDKHVFQaQIKjWRtBX1gO5EmI/2n0Df6A934qXUWoTFILoAt7j7O9H+PYCvNciuYjCzEYRFjU4GhntYTtwg9IBG9dyPE6aGPDXhefllKSoniomZHUEo/borYRDf2ikAzexAwvlbE7jQ3WdG520P4DmdoyVnZq2AL4Gn3P36aNtjhIWlegJDEn7+VYChhLERl7v7qliCFqkg1OMtaSu6FDoZuJ/Q69mzkJ7v6wlz3h+Z8NxJGmRX/llYLQ93PwQYSVjd8LACPd8Z7v49oWfvJDNrGV1Gz0/KTUl3rH4hLGR0lZl1gqQ9388Tpg1sGm1b4e59dY5uMgOudPfrE76gXgY8Q/hZd0v4+ecAc4G90NogIkVS4i1pycz2M7N2AO5+LeFS6sPAOQWS7/yBWZ8Tpg1cj3rTyi8zOwW41cyaALj7ccD/gOeArgnJd37t9xrgM2BZYqKty+bxMLNWZlbX3b8BjgHaANcVSL7zyx7eBLKADgVfR+do8ZlZbTOr4+4z3b3fus1rk+/LCdNw5iffWVGbKwjTDK5IfdQiFYsSb0krFtQHxgH3RTNb4O43A3cDDxF6vhtE29eYWU3Coiqz44laNlETwop6F5pZYwB3P4qQfD8PHBcNvss1sy0IC+gsYP1VSiUGZrYvMAroYWZbRlemTgVasn7ynROd09sA8wjTfcomsLAIznjgFTPbP/o9mV/L7Qk93PnJdx/gNDOr5mEl11mxBS9SgajGW9KSme1HGDj5HnBTNMgOM7sTuJqQgI8AFhMS8q2Ajq7Fccq9xOnjLKxI+QRhGsgnfd2qe28AexLKT34i1H83BPaOkjnVdMcsOkZtCVeiXnX3383sb8BgQmnDM8CbhNUpHyOco53Uw71pzOwc4BrgHcJYiM+BSYSrgXiY/7xK/u9AM3uBMHXj9vljY0SkaEq8JW1YWIFyFvBj1IOzNzCGMDAoMfn+J3AasD3wNaEH9Nio9ztTf9jLLzM7AegO/N3XrS56CSExK5h830SYMrAqMBW4MUq6dYxjEpV/LXX3xdHjgYRjdD/rku/2hOPZBKhPmNXEgIN1jpacmdV29z+in/0o4FjCAlNHEq4Y/Q/4jpCAL00svTKzJu4+P4awRSosJd6SFiws7f4dsJpQLzqriOS7FVAXWAnMKNjbI+WTmR0MfAS8CPwjmu5sY8l3FSAvv3dbSVs8ohri7YEpwE1AH3dfEu1LlnxvA7QGdgVmEGaqydU5WjJmticwBDjC3aeZ2Y2EOvnzE764/kr4Xfg74SrDxKimXkQ2gUYgS1pw91VRXegwwlLGp5rZTHefYGEVvNEAZnaju/9YsF4xKj3QH/RyLDpGI82sC+E4Z5rZFe6+zN2fiMaHPRa1fczdFyce02j2EiXdMYh6Uaea2b+B24E1Zva8uy9x9x5R8v1PADN7xd1/Icx2Mjb/NaIvTTpHi8nCMvCjgGfdfVq0+XNCLX1dYKmZ9QVygV2A/wOOIIyZ+Dg/MReRklGPt6SF/JpdM2tKWNnuL8IfmJlRz/c+hOR7KHCdu8+OLVgpETPbwt3/LLCtM/A2oQb4iiQ93/8GHnJ3DaQsB6JBrtnR/RsI03teCzyfpOf7PmCQu6+MK96Kzsx2Iczg87C731Rg37OEOdH/IiTax7r7xGjfNsAad1+U4pBFKg0l3lJpmVlHoBEhAXNft+BDU2A44Q/LyWyYfA8BLtYf9vLPzE4CLgDeAL5x988S9h0MvE4YQHtpwqXzSwnLjV/s7n2inm79IoyBme0EzC04OM/MbiX0fF9HWAQnMfnejZCYD/YCy8FL0cxsW0Ld9mh3PyVh+3XANoTOh0HAUqC7u3+pc0Sk9CjxlkrJzA4iKh8hJNk5hOmvZrn711Hy/Sphbu5To+250TRmYwi93g+nPnIpLjNrTpiZZnvgD0INf2NCsj2C0KPXgnA8XwFuzu+pM7NbCAsjtXP3n1MfvZjZcYQrEjMIdflfA6PcfXq0/0rC7EL/Al5094XR9lcIPd9d3H1eHLFXZGbWknA+LAbucfdPzOx6wvlwHDCBUIIy2917xBWnSGWlebylUslf6AGoTkjKfiLUgk4hTEs2wszeAc4HbiEkZg8C7aIa0fFAP8ICK1VTHb+UyK+EsoP3gO+BqwhfrtoRku+xhB7ToYRe8XvMrF703PcIcz7XSnHMaS+ad7sa0ApYAjQDlgF3AsPMbIKZXUFIDu8k9Hx3M7OtAaJe2rrAuTGEX+FFZXSnEf7+Xx/Vcf8DOMXdP/aw5PudQJeoZEtESpESb6lstgVw9w8JifZnhIFBTwA7ACcSEvFjgL6EnvBjgHMTBtY1ARYBmse5HDKzg8zsgKjM4EXClYs8wtRnvd39eOBAwuwY9QmXzyHM1vB7dP/YaPuSVMYugbuvJiTWtxCm68wFtiYk098TSsBmEZaKr0moy+8YzUID8CVhyjvZBNHsTZcTVvs8Hbgv+p2Z33nxNWFGp675C+eISOlQqYlUGtGiOI8Rkq9+0bbDgSsJf9QvcPeJ+VOOmdmhhN62rsDZ0bYmhMGXZ7v7l/F8EilMNLhrEOCEcqDxFpat7k5YtnoxcHrijAsWVqXcCxibUOd/IqG2/6tUf4Z0Fs2lfyVwkruvNrNGhFKve0kY6GdmNYA9CNMFnkiYa/3g6BztSriatYO7/xDH56gsLKzc+0T08C53/zhh3xXAR+7+fSzBiVRSSryl0jCzvYCbgXrA0+7+UrT9MEJS1pQo+S7k+VnRAhw13P2vVMUtJRMNqDyfsGjKHe7+aULyfSmhbKGHu/9WcF5nzfMcn6gn9UJCSdA3wFlR8t0Q6EEob3jG3a9J9tzEwX1m1kz13aXDwlLxjxKmF77d3ccW8RQR2QxKvKVSMbM9CIOEmgGPF0i+Lyck3+dFI/XzpxjUiP0KIPE4mdnxwGWEEoWCyfclhJ7vs/KnEZTywcJCVj0I5+Is4LQkyfdT7n5d1D5xmsEMwt+sXJ2zpStKvh8iDE6+InF2IBEpXarxlkrF3ScBvYB5wKVmdnq0/UOgN2Gw5TAza+fRaoX6A14xRFM+WnT/LUJZUSZwq5ntH9V8D4q2tyfUeEs5ESXLq4CXgccJgytfNrNqHpaIH0g4ZheY2VMA+Ul3dD8vv1RI52zpimaS+ScwB9AsPyJlSD3eUilZWAr5Ojbs+T6WMPDuBtcqhRXSRnq+/+3un0U93wcTLSMeY6hSQP6xi2Y1OYNQGlSw5/t8wvE7XAl2aiVeYRCRsqHEWyqcAolXoZecE5LvpsBj7j6wwP5MJWYVQ5Ia34LJ96WEGWr+6+6jE9rpGJczhSTfMwmDYleb2ZbA8vwrHEq+RaQyUamJVDiJf4g39kfZ3f9HmC1hLvDvqM47cb8SsnLKzLY2s22iWS/yy0zW/r4qpOykCWEBEBLa6RjHLGFufWDdsYumFBxAOHYtgPejAc6/K+kWkcqqStFNRMoPCytS7kOYamw5YQ7nb919QbI/1O4+ycweBo4mrGYo5ZyZnUYYINkG+MbMnnf3gfk1+fkSkzN3H2pmy4BxccQs65jZPsCOhCkfx7j77PyBzPltEpNvM3uJMFf37oSSobVtUh27iEhZU6mJVBhmdh5wF/ApYcrAbYCWwFuEabCmFNVLptKD8s3MLiKsJHoDsAb4O+HK3IleyJzNBZO6go8ldczsXMJKk8uBhoTBzGe4+7RC2ueXnWQBOflXNnT8RKSyUqmJVAhm1o2wEuVlhKWNu7j79oQlwzsCvcysZVG9ZEq6yy8zO4uwmEc3d+/t7k8C/QkzlDQu0Dax7KRgT7iSthiY2YXAk8C1wP7ArcBu/9/enUfLVVV5HP/+CAlDog0IHcTAYkYGWxBBUXoxSRRbZuxmbBABaUVtDLSEQVEhQgIiApLEMDQRkEFmMYhAGsQgDoAMIkgSiAIBjGEMhiS7/9inkpuiXqj3kHfrPX6ftWpV6ta5t859d728fU/tsw+5QM5i16yh8fsaEa9VRsF9/cys33LgbR1NaQhZn/mUiLgSqOb3Hg+MBXYAPtHYp67+WveVa7waGbTdDjxYeXvr8ry5pF0lfRAWBdetgjnrfZJ2J38PD4uIH0XEC8BV5ITXtbvY53W/p04vMbP+zn+0rKOVP8TLkCNofy3b5lcn20XEt4C7gM+Ur6n9x7sPKTnaT5KrGq4JHCVpdUmXA5uQNZ+XBUYDV0i6TdIESSt6dLRjbEmmlQyTtHzZNo783V1Z0nXAWEmfkLQ6OMg2s7cnT660vmAFcnnwl2HR0u6Rq04OjFw4ZRIZuK1ICdCts1XyexsTJC8uN1PfBnYG/g5sFRHPlvbnA+8CjgeWJ/OIrUaNfOyIGFlGsPfIzfoQsDr5LdSDwFVcdpEAABALSURBVL8DG5ALHC2QdEpEjK6t42ZmNfHkSutIJV97euX17cA7gQ9GxLzGJEktWvb9eGBbctEN53H3AaVU4CCyDOD0yNULkbQ3cBZ5M3ViRDxWtjeudbWGtyfidRBJpwOfJr+h+HhE3NP0/vuBjYHLI2JeDV00M6uVU02s40jaGJgq6dDyWuQy06sD5ymXmG4sHb1A0iBgG+D3Drr7Bkn7kKOfvwamAHdK+n4JpH8EjAC2A0ZIei8svNZLVYJuT8SriaQtJO0v6SxJh0jaHiAiRpATYmcCu0p6V2k/oFyv+yLiknLz7G9czextx//xWSd6nMznPVvS/Ig4X9IPyTq/uwM/kXQUmYowGPgm8G5gJ1jyapZWv1Jy7myy+sU04DngK8A+wGaSPhoRF0kKYBSZmjA2Ih5orgVdQ/ff9sr1O568bssBB5MTnk+LiBMj4nhJywG7AgMknRERs5onU3rE28zejhx4W8eJiJcknQTMBSaUUc4JJdh+klxm+i5ygY77gNnAZtUUlNo6b0skaQvg68CBEXFFZftngUPJGtBXSNorIiZKmgdMJAP0B2roslVU0oA+A9wWEc9K+gjwn8DXyrdRIyNihKQx5M3wOyWdUCqdmJm9rTnwto5QKh3MaeT5luB7DDAAGF9GsX8gaRQ5WrpVeW8a8EBJQ1jao2gdb11gOvCzxvUqN0svSRoPrEGWjvwwMCUiLpX0HHBrfV02AEkrkyuKHhsRl1dKev5S0gzgVeCrku4rJQWPljSWnJvxYn09NzPrHA68rXaS9gTOB2ZKmkDmh04EXoqI48qo57iSQTKBrFpyQ9MxlnLQ3Sd8ABgWEc83NpRJsoqIlyV9B/gcuWjOlPL+zeBVRzvAEGAdYOGEyUpFmhnld/eTwMfI/H0i4vDm6jW19NzMrEM48LZalYmR25MTfVcAdgTWB74KPF5GzG4h87nHSZpdFtFZjCfZda6myiN/BVaQtHZETK0Ebo2A7AVgFi0mfjvort1ywCrkvIrX5dhHxAOSbgG2bkycjIh5DrrNzBZxVROrVUTMJSdHngfcTVa52Iys5fw8cCrwY2A4mdN9uaRta+msdZukPYD9K4uqXAEMJG+saARlkgaU91cBngYe6/XO2utIWrUyKXIOWUt/uKSBTe1U2g0EHioB98JvoBx0m5klB95Wu4iYSVYxmUZOxjogIiZGxN7l9c7A/cAdwB+BX9TVV+u23YALydJyg8lrfBpwqKRzJA0uA97zJS0LnAm8BEyuq8OWJO0AXA/sXEaspwPnAkeQC+IsVALrZYG1yAVzWi4Jb2b2ducFdKxjSFoVOI6cOHlt5FLwzW0a+aKeSNnBquklksaRlWgOi1ydcijw38CRwJ+A35AjqZuQ6UYfjIjX5MVxaiXp3cBNZHrQ6RFxg3LRo3FkLvdxwE8j4sFSa30MOTl2c/9umpm15sDbOkol+P4wcHVEjCrbFwbaDsj6hqZrdh5Zp/vQEnwPBrYAjiaXgZ9Blgs8ubG4ioO3+mjRyrBDgWuBecBJETFJ0hrAscBh5LcTc4C/kKlhw8tNkyfCmpm14MDbOk4Jvo8FtiRrBY+suUvWJkm7kDdNFwN/jYinK++dD+wLfBa4KiLmSFoKGBgRf6+0c9BWo0rQ3Sj3uCpwDTAf+FZETCrttgGGAf9EpoLd6bKeZmZL5sDbOlL5Yz+aXETnUE/O6nySNiIDMJGlAIcBVwMPARNKUPZt4IvkaOkNXlSlc0j6V+BhYFbjxkfSwDKC3Rj5nk9OfL6x1bdO/jbKzGzJHHhbx5K0EjC7BGwuR9bhJK1Frmh4KHAzcCnwJWBTMod7Kjmx8ntkcD4auDgiXq2lw7aQpOHAJHJi5DXAbyPimqY21bSTU4Cf+HfSzKx7XNXEOlZEzCpB91L+A9+5JH0AICKmkQshjQc+DQyJiJ3I1SpHAU+QAdsAYD1gJwfdHWMquSjVJGAB8L+SLpB0eKNBqT60O1ky8Bhghzo6ambWl3nE28x6TNIGZLB2S0QcUratARxOVi05OiLOrrQfBqwI/BtwmnOB61fK/q0CfB+YFBETJG0O7Ap8gkwvGQ/8uiySM5QsM/gi8KmImFNT183M+hwH3mbWY6W83CHA3sAdEfGFsn11FgXfIyLi3LJ9YES8VtnfE/Fq1FT2cT/gDGCHiLhf0hCy0gzAdGADMg3lKLLs4wzgwIiY2OsdNzPro7xkvJl1m6QtgD9HxFOSxgOvAQdLOicivhARMySNLc1Pk7QgIsZVg27IJcV7u++28Po9EREzKzc/VwG7ABtKeohcqOoxchGkYcCnyBVk5wFPlvd9/czMusE53mbWLZJ2Bn4FnCHpPRHxHLk65fnA9pLOAYiIGcBY4DvAuZJ2q6nLVlG5fmdKencpGaiSMvIn4ARypHsWsH9EvBgRf4iIMRGxYyn9eCCwNXBXXedhZtYXOfA2s7ZJGgRsX16uCIyRNCwinqXr4Ps8Mu3kht7vsVW1uH6nS1qtMnn560CQI9l7RcRTZT9VnyPiQmCDMqHWzMza5MDbzNoWEXOBi8hVCmcDKwGnlJHvavC9raSzyj7TI2J8Y0XKmrpudHn9Rpfl4SHTD28iV6KcCxlsNwLziIjGNYyIR3u5+2ZmfZ4DbzNri6SlyqqG95BVLqaRFU3WB05tEXzvK+kr1WM4p7s+b3D9RpeR71fJVUe3AfaDDLarx/E1NDPrOQfeZrZEkjaStHpELKgs5T6VnGh3HlmGbj0WD75/SK5QeWYtnbaF2rx+jeB7WETcC/wU2K7srzr6bWbWH7mcoJl1SdKewGXAU8BI4LGImFLeuwW4KyKOk/RFsqTgn4ATIuKJyjEGVAI+60U9vH4jyLrej/i6mZn9Yznf0sxaKhPxdiCDtrlkJYv5kv4GHE9Oltyk1II+S1IAXwYOAr7ZyA128FaPHl6/I4HPRcTJ5RgL63ybmdmb5xFvM+uSpFXJkdK1yQVTxgGnAy+QC6psCOwXEZeW9nsBVzvY7gy+fmZmncU53mbWpYh4GjgVeBzYAvhIRHwMOIlccGUacH+l/ZURMV/SgDr6a4vz9TMz6ywe8TazN1TKzR1LLppySUSMKdtXjIi/OSWhs/n6mZl1BgfeZtaWkrZwHLAVcG1EfKts9+TJPsDXz8ysfg68zaxtJXg7FtgSuC0iRtbcJesGXz8zs3o5x9vM2lZyhkcBjwCruMZz3+LrZ2ZWL494m1m3SVoJmB0RC6pLilvf4OtnZlYPB95m1mOelNe3+fqZmfUuB95mZmZmZr3AOd5mZmZmZr3AgbeZmZmZWS9w4G1mZmZm1gsceJuZmZmZ9QIH3mZmXZC0pqSQdOKStnUSSRdKamvWvKTpkia/ic+aLGl6T/d/g2OHpAvfimObmdXFgbeZdRRJ25agq/p4SdJvJX1Z0oC6+9hTJWg/UdKmdffFzMx639J1d8DMrAuXAjcCAlYDDgK+C2wMHFZft3gcWA6Y14N91wS+DkwH7v3HdcnMzPoCB95m1ql+FxE/bLyQdC7wB+AQSSdExMxWO0l6R0S8+FZ1qqzy+OpbdXwzM+u/nGpiZn1CRLwATCFHwNeGRTnKkjaTdJOk54HfN/aRtJ6kiZKekjS3tB8jaXDz8SVtLelOSXMkzZR0NjCkRbsuc7wl7Vn6M1vSK5L+KOl7kgZJOgi4rTS9oJJGM7myvyT9V0mreaWk2NwmabsWn7VsOZcnS5/vljS8ez/V15M0XNJlkqaW486W9DNJ2yxhn7UlXSvpeUkvSLpa0tot2rV9fmZm/ZFHvM2sT5AkYN3y8rnKW2sAtwJXAD+mBMuSNi/bZwPjgL8A7we+BHxU0jYR8Vpp+yHg58CLwKlln72Bi7rRv5OBY4GHgDOAp4B1gD2BrwG3A6NKm/HAHWXX6sj9RGAf4ErgAmAZYD/gZkl7RMR1lbaXArsB1wM3lc+6CpjWbp+7cBCwEnnufwbeAxwC3CJpu4i4o6n9YGAy8CtgJLAe8Hngw5I2i4ine3h+Zmb9T0T44YcffnTMA9gWCDJYXRlYBfgX4Adl+5RK2+ll2yEtjnMf8DDwjqbtu5d9Dqps+yUwF1i/sm0QcHdpe2Jl+5ottm1Ztt0KLNv0eQLUdG4Htehvo1+HNW1fGvgNGVA3jjO8tL2wqe1uZXu0+bOeDkxu2ja4Rbuh5M3OjU3bJ5fP+24X5zK2J+dXtr/u/Pzwww8/+vrDqSZm1qm+ATwLPEMG0QcD15HBZdUscvR0IUnvI4P1S4BlJK3ceAC/AF4mg1ck/TOwFXBtRDzSOEZEzCVHrtuxX3keGRGL5X9H0cYx9idH3K9p6u8K5Kj2muRoMiz6GYxp+qxrgD+22eeWIuLlxr8lDZH0LmA+OaL9oS52O6XpGFeXflSvVXfOz8ysX3KqiZl1qvFk+kiQgfIjETGrRbvHImJ+07YNy/M3yqOVoeW5kYv8cIs2D7XZ1/VKP+9rs30rGwLvYPHUk2ZDgUfIPi8o/272B2CDnnZC0jrAycDHyaC4qtUNxOxYPJ2k2o/dJA0uwXx3zs/MrF9y4G1mnerRiPh5G+1eabFN5fl0YFIX+/2tR73qWtA6MG2XyBH+fZfQ5oE3cfw37oA0hMxFH0yWbryfHKVeQOZvb/9mDk/N52dmVjcH3mbWHz1anue3Ebw3JiO+t8V7G7X5eY8AO5GTN+9eQrslBeaPAusDd0XES2/weVPJqlTrAw82vbfh65u3bQeyZvrBEdGcvnNSF/usIGnVFqPeGwLPVFJXunN+Zmb9knO8zaw/uoccPT28i7J2S0taCSCyHvhdwK6S1q+0GQQc2ebnXVKeR5X9mj+vMQLfCDhXanGMi8j/k7/d6gMkDa28vLY8H93UZjfeRJoJmcsNi74xaBx3OF3ndwMc09R+99KPayqbu3N+Zmb9kke8zazfiYiQdABZZeT3ks4nR4aXJ0sS7kGmTlxYdvkKWaHjTknnsKicYFv/R0bE3ZJOBb4K/E7SZcDTwFrAXmTVk9lkzviLwOclvVK2PRMRt0bElZIuAI6Q9AHgBrKSyDBy8ue6lHz0iLhJ0vXAgeUGYhJZTvBz5A3HJt3+oaVflH6fLmlNspzgpsABZNrJ+1rs8xywh6TVyJ9ho5zgTODEys+o7fMzM+uvHHibWb8UEfdK2owMsHcBDieD3ulkwH1Lpe0USTuS1TmOAZ4na02fSwac7XzeMZLuA44A/occ3Z1BLnv/SmkzR9LewElkDvUywP+RNwhExMGSbgMOK/0eRAbCvyuvq/6jHGc/YMfSzz3IHOoeBd4RMVvSx4HRwBfJvxG/BT4JfJbWgffLZO73GeTPT+SNwIiIeKrp+N05PzOzfkftVbkyMzMzM7M3wzneZmZmZma9wIG3mZmZmVkvcOBtZmZmZtYLHHibmZmZmfUCB95mZmZmZr3AgbeZmZmZWS9w4G1mZmZm1gsceJuZmZmZ9QIH3mZmZmZmvcCBt5mZmZlZL/h/yYXNwRujbwkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YfOPntI1eG_M",
        "outputId": "37416d6c-e9b1-4e59-a5c2-24410ffb1899"
      },
      "source": [
        "precision_percentage = \"{:.0%}\".format(clf.score(test, test_labels))\n",
        "print(\"Precision:\", clf.score(test, test_labels))\n",
        "print(\"~\",precision_percentage)"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precision: 0.7664543524416136\n",
            "~ 77%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UCZf9VBBnV3W",
        "outputId": "cb74607f-50b3-4104-b426-00bf833ed13d"
      },
      "source": [
        "print(\"Recall:\")\n",
        "print(\"Fatal:\", 93 / (93 + 32 + 25 + 28))\n",
        "print(\"Major Injury:\", 934 / (4 + 934 + 92 + 216))\n",
        "print(\"Minor Injury:\", 159 / (6 + 129 + 159 + 235))\n",
        "print(\"No Injury:\", 1700 / (0 + 62 + 53 + 1700))"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Recall:\n",
            "Fatal: 0.5224719101123596\n",
            "Major Injury: 0.7495987158908507\n",
            "Minor Injury: 0.3005671077504726\n",
            "No Injury: 0.9366391184573003\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v5VjV1IbtZtB"
      },
      "source": [
        "# Find the best hyperparameters with RandomSearchCV"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FJZ-pna8t_1R",
        "outputId": "dd053b82-f8db-4285-9766-d9af463642a1"
      },
      "source": [
        "# We've found a good tree, but it might not be the best. Let's play around with some hyperparameters and see if we can do better.\n",
        "from sklearn.model_selection import RandomizedSearchCV\n",
        "\n",
        "parameters = {\n",
        "    'n_estimators':[80, 100, 120],\n",
        "    'max_depth':[5,12],\n",
        "    'max_features': ['auto', 'sqrt'],\n",
        "    'max_leaf_nodes':[14,28],\n",
        "    'min_samples_split': [3,5],\n",
        "    'bootstrap': [True,False]\n",
        "}\n",
        "\n",
        "parameters"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'bootstrap': [True, False],\n",
              " 'max_depth': [5, 12],\n",
              " 'max_features': ['auto', 'sqrt'],\n",
              " 'max_leaf_nodes': [14, 28],\n",
              " 'min_samples_split': [3, 5],\n",
              " 'n_estimators': [80, 100, 120]}"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rAXknWrtu7fG",
        "outputId": "c2579c35-9d78-40f7-ddc3-32ee30b092b0"
      },
      "source": [
        "cv = RandomizedSearchCV(\n",
        "    estimator = model,\n",
        "    param_distributions=parameters,\n",
        "    cv=3,\n",
        "    n_iter=10,\n",
        "    random_state=RSEED\n",
        "  )\n",
        "cv"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomizedSearchCV(cv=3, error_score=nan,\n",
              "                   estimator=RandomForestClassifier(bootstrap=True,\n",
              "                                                    ccp_alpha=0.0,\n",
              "                                                    class_weight=None,\n",
              "                                                    criterion='gini',\n",
              "                                                    max_depth=None,\n",
              "                                                    max_features='sqrt',\n",
              "                                                    max_leaf_nodes=None,\n",
              "                                                    max_samples=None,\n",
              "                                                    min_impurity_decrease=0.0,\n",
              "                                                    min_impurity_split=None,\n",
              "                                                    min_samples_leaf=1,\n",
              "                                                    min_samples_split=2,\n",
              "                                                    min_weight_fraction_leaf=0.0,\n",
              "                                                    n_estimators=100,\n",
              "                                                    n_jobs...\n",
              "                                                    random_state=42, verbose=0,\n",
              "                                                    warm_start=False),\n",
              "                   iid='deprecated', n_iter=10, n_jobs=None,\n",
              "                   param_distributions={'bootstrap': [True, False],\n",
              "                                        'max_depth': [5, 12],\n",
              "                                        'max_features': ['auto', 'sqrt'],\n",
              "                                        'max_leaf_nodes': [14, 28],\n",
              "                                        'min_samples_split': [3, 5],\n",
              "                                        'n_estimators': [80, 100, 120]},\n",
              "                   pre_dispatch='2*n_jobs', random_state=42, refit=True,\n",
              "                   return_train_score=False, scoring=None, verbose=0)"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ixEAfCJUvDy8",
        "outputId": "eedc64da-4450-4154-9419-866af847a855"
      },
      "source": [
        "cv.fit(train,train_labels)"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomizedSearchCV(cv=3, error_score=nan,\n",
              "                   estimator=RandomForestClassifier(bootstrap=True,\n",
              "                                                    ccp_alpha=0.0,\n",
              "                                                    class_weight=None,\n",
              "                                                    criterion='gini',\n",
              "                                                    max_depth=None,\n",
              "                                                    max_features='sqrt',\n",
              "                                                    max_leaf_nodes=None,\n",
              "                                                    max_samples=None,\n",
              "                                                    min_impurity_decrease=0.0,\n",
              "                                                    min_impurity_split=None,\n",
              "                                                    min_samples_leaf=1,\n",
              "                                                    min_samples_split=2,\n",
              "                                                    min_weight_fraction_leaf=0.0,\n",
              "                                                    n_estimators=100,\n",
              "                                                    n_jobs...\n",
              "                                                    random_state=42, verbose=0,\n",
              "                                                    warm_start=False),\n",
              "                   iid='deprecated', n_iter=10, n_jobs=None,\n",
              "                   param_distributions={'bootstrap': [True, False],\n",
              "                                        'max_depth': [5, 12],\n",
              "                                        'max_features': ['auto', 'sqrt'],\n",
              "                                        'max_leaf_nodes': [14, 28],\n",
              "                                        'min_samples_split': [3, 5],\n",
              "                                        'n_estimators': [80, 100, 120]},\n",
              "                   pre_dispatch='2*n_jobs', random_state=42, refit=True,\n",
              "                   return_train_score=False, scoring=None, verbose=0)"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YNoEIK9Sym_H",
        "outputId": "06b0bea4-36cd-409d-a02f-3bd3f68106b6"
      },
      "source": [
        "print(\"Best estimator:\", cv.best_estimator_)\n",
        "print(\"Best score:\", cv.best_score_)\n",
        "print(\"Best parameters:\", cv.best_params_)"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best estimator: RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
            "                       criterion='gini', max_depth=12, max_features='auto',\n",
            "                       max_leaf_nodes=28, max_samples=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=5,\n",
            "                       min_weight_fraction_leaf=0.0, n_estimators=80,\n",
            "                       n_jobs=None, oob_score=False, random_state=42, verbose=0,\n",
            "                       warm_start=False)\n",
            "Best score: 0.7433156178981437\n",
            "Best parameters: {'n_estimators': 80, 'min_samples_split': 5, 'max_leaf_nodes': 28, 'max_features': 'auto', 'max_depth': 12, 'bootstrap': True}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xVIT7oVLy-V6"
      },
      "source": [
        "### Funnily enough, random search CV turned out a tree with a lower precision than the \"random\" random forest we tried! It seems that 100 estimators is the best option when compared to a tree with other parameters.\n",
        "\n",
        "## Conclusion:\n",
        "\n",
        "### Traffic accidents, especially minor ones, can be very hard to accurately predict. For better accuracy, additional data about the participants of the accident would help - such as their health conditions. Also, it's possible that we suffer a loss of data from traffic accidents that don't result in police reports - especially things like fender benders. As a result, traffic accident data may seem far more dangerous than it is in reality."
      ]
    }
  ]
}