1Miniproj_2_Machine_learning.ipynb

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    "## Machine Learning Mini Project 2\n",
    "\n",
    "## Jeba Akewak"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project Description\n",
    "\n",
    "In this Project we are given a dataset that includes the information about the customers of a telecommunication company. The company wants to know why a large number of customers are leaving their landline business and how the company can slow down the process and retain the customers. For this project you need to use a tree-based approach to predict behaviour to retain customers. By analysing the data, you will suggest a customer retention strategy.\n",
    "\n",
    "\n",
    "The information in the dataset is as follows:\n",
    "\n",
    "Churn: The customers who left the company in the past month\n",
    "\n",
    "Type of services that the customers has signed up for\n",
    "\n",
    "The information on customers’ accounts\n",
    "\n",
    "The customers’ demographic information\n",
    "\n",
    "You can use either Matlab/Octave, R or Python for this project. As a part of your task you need to look into available packages for doing tree-based analysis in the programming language of your choice and you need to provide a short explanation on how the package works in your final report.\n",
    "\n",
    " \n",
    "\n",
    "Alongside your code you need to submit a detailed report describing the following points:\n",
    "\n",
    "- introduction (problem statement)\n",
    "\n",
    "- descriptive analysis of the data\n",
    "\n",
    "- short explanation on what the data is about and how you are planning to use it in doing the task of the project\n",
    "\n",
    "- explanation on the packages/tools you are using for the analysis\n",
    "\n",
    "- what are the steps you are taking in order to perform the task and optimising your model (include screen shots whenever needed)\n",
    "\n",
    "- interpreting the output\n",
    "\n",
    "- description of your customer retaining strategy\n",
    "\n",
    "- describe the performance of your model, how efficient is it?\n",
    "\n",
    "- conclusion.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing Libraries\n",
    "\n",
    "The  first thing we need to do is to import all of the relevant python libraries that we will need for our analysis. Libraries such as numpy,pandas, statsmodels, and scikit-learn are frequently utilised."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import roc_curve\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data\n",
    "\n",
    "Then Import the data set given at the following link https://www.dropbox.com/s/9j4if88qqp2f1cf/WA_Fn-UseC_-Telco-Customer-Churn.xlsx?dl=0.\n",
    "After downloading the xslx file I renamed it to Churn.xslx. Then let's start by reading in the Churn.xlsx file into a pandas dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "\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>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ...  DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...                No   \n",
       "1                No             DSL            Yes  ...               Yes   \n",
       "2                No             DSL            Yes  ...                No   \n",
       "3  No phone service             DSL            Yes  ...               Yes   \n",
       "4                No     Fiber optic             No  ...                No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('Churn.xlsx')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The information on the datasetshows the Churn: the customers who left last month, Type of services the  customers signed up for, the information on the customer's accounts and the customer's demographic information\n",
    "\n",
    "Attribute Information:\n",
    "\n",
    "1. Customer ID\n",
    "2. Gender\n",
    "3. SeniorCitizen\n",
    "4. Partner\n",
    "5. Dependents\n",
    "6. Tenure\n",
    "7. PhoneServices\n",
    "8. MultipleLines\n",
    "9. InternetService\n",
    "10. OnlineSecurity\n",
    "11. OnlineBackup\n",
    "12. DeviceProtction\n",
    "13. TechSupport\n",
    "14. StreamingTV\n",
    "15. StreamingMovies\n",
    "16. Contract\n",
    "17. PaperlessBilling\n",
    "18. PaymentMethod\n",
    "19. MonthlyCharges\n",
    "20. Churn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID           object\n",
       "gender               object\n",
       "SeniorCitizen         int64\n",
       "Partner              object\n",
       "Dependents           object\n",
       "tenure                int64\n",
       "PhoneService         object\n",
       "MultipleLines        object\n",
       "InternetService      object\n",
       "OnlineSecurity       object\n",
       "OnlineBackup         object\n",
       "DeviceProtection     object\n",
       "TechSupport          object\n",
       "StreamingTV          object\n",
       "StreamingMovies      object\n",
       "Contract             object\n",
       "PaperlessBilling     object\n",
       "PaymentMethod        object\n",
       "MonthlyCharges      float64\n",
       "TotalCharges         object\n",
       "Churn                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin some exploratory data analysis! We'll start by checking out missing data!\n",
    "Now we can perform some basic exploratory analysis to get a better understanding of what is in our data. For example we would like to\n",
    "know:\n",
    "- How much data we have\n",
    "- If there are any missing values\n",
    "- What data type each column is\n",
    "- The distribution of data in each column\n",
    "\n",
    "We could also take this opportunity to plot some charts to help us get an idea of what variables / features will prove useful. For example,if we where thinking of doing some regression analysis, scatter charts could give us a visual indication of correlation between features.\n",
    "The pandas library has plenty of built in functions to help us quickly understand summary information about our dataset. Below we use the shape() (http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.shape.html) method to check how many rowsare in our dataset and the describe()(http://pandas.pydata.org/pandasdocs/stable/generated/pandas.DataFrame.describe.html)method to confirm whether or not our columns have missing values.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Number of rows: ', 7043)\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Count of values</th>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                 SeniorCitizen  tenure  MonthlyCharges\n",
       "Count of values         7043.0  7043.0          7043.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "print(\"Number of rows: \", df.shape[0])\n",
    "counts = df.describe().iloc[0]\n",
    "display(pd.DataFrame(counts.tolist(),columns=[\"Count of values\"],index=counts.index.values).transpose())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this stage we would normally begin the process of cleaning our data set, which could involve:\n",
    "- Filling in missing values\n",
    "- Parsing dates and numbers in incorrect formats\n",
    "- Extracting features out of text etc.."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing Data\n",
    "\n",
    "We can also use seaborn to create a simple heatmap to see where we are missing data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
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      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11385f490>"
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     "execution_count": 5,
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MeLGkPSf/r2Iia7abyQnZGveV9OCIuEHShtT9/BQRO5fPT19Cum1pNtFSSiN7Tv51hg4Y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\nxCiEmY9AwKkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11381c990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the data, it looks like we are not missing any data therefore we are good to go.\n",
    "\n",
    "Let's continue on by visualizing some more of the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1a1432cd90>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MGydxDv97wCeAPcdx1oHvAv7RqUqlKIqiKIoyhZxEcTIdx9nwvjiO88YpyqMoiqIoijK1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\nn41mvoVC4QrwV4HfXiwWDwqFwiLwr4D3n+3MvHGRVN2vTSz6Z4VC4d8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vcS0JuShEKnvE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YyBsrPvOffwwZ73/n2cw+wxTrNaqu4DcFlOeH2j8i0nfPi4NAQCKqGIKg/n/YmH797eqAjHreNR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\n87B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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1432c910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df,hue='Churn',palette='bwr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/akewakjeba/anaconda/lib/python2.7/site-packages/seaborn/categorical.py:1428: FutureWarning: remove_na is deprecated and is a private function. Do not use.\n",
      "  stat_data = remove_na(group_data)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a155911d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a14f4c7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "sns.countplot(x='Churn',data=df,palette='RdBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/akewakjeba/anaconda/lib/python2.7/site-packages/seaborn/categorical.py:1468: FutureWarning: remove_na is deprecated and is a private function. Do not use.\n",
      "  stat_data = remove_na(group_data[hue_mask])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1559f290>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a155a5710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "sns.countplot(x='Churn',hue='gender',data=df,palette='RdBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a14fb4790>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a156f7550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "sns.countplot(x='Churn',hue='SeniorCitizen',data=df,palette='RdBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a157d7290>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jMpmYNGkSM2bMoHHjxqxdu5YlS5bQunVr/Pz8mDVrFt988w1XrlxxdekVhgJC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\nCBERMfT/AKpqBcLPueOEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1062f5c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "sns.countplot(x='Churn',hue='Contract',data=df,palette='RdBu_r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Selection and Converting Categorical Features\n",
    "\n",
    "After cleaning and inspecting our data we might come to the conclusion that certain columns are not going to be useful for prediction. In this example we will not be using the customerID of the client  because our assumption\n",
    "is that this shouldn't affect churn.\n",
    "We will need to convert categorical features to dummy variables using pandas! Otherwise our machine\n",
    "learning algorithm won't be able to directly take in those features as inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def gen_to_cat(x):\n",
    "    if x=='Male':\n",
    "        return 1\n",
    "    if x=='Female':\n",
    "        return 0\n",
    "def par_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0\n",
    "def dep_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0\n",
    "def phos_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0\n",
    "def mul_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0\n",
    "    if x=='No phone service':\n",
    "        return 2\n",
    "def ints_to_cat(x):\n",
    "    if x=='Fiber optic':\n",
    "        return 1\n",
    "    if x=='DSL':\n",
    "        return 0\n",
    "    if x=='No':\n",
    "        return 2\n",
    "def onls_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def onlb_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def dev_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def tech_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0    \n",
    "def strTV_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def strM_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def con_to_cat(x):\n",
    "    if x=='Month-to-month':\n",
    "        return 1\n",
    "    if x=='One year':\n",
    "        return 0\n",
    "    if x=='Two year':\n",
    "        return 2\n",
    "def paplb_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0  \n",
    "def paym_to_cat(x):\n",
    "    if x=='Electronic check':\n",
    "        return 1\n",
    "    if x=='Mailed check':\n",
    "        return 0\n",
    "    if x=='Bank transfer (automatic)':\n",
    "        return 2\n",
    "    if x=='Credit card (automatic)':\n",
    "        return 3\n",
    "def churn_to_cat(x):\n",
    "    if x=='Yes':\n",
    "        return 1\n",
    "    if x=='No':\n",
    "        return 0  \n",
    "def Tot_to_cat(x):\n",
    "    \n",
    "    if '.' in x:\n",
    "        return float(x) \n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df['gender'] = df['gender'].apply(gen_to_cat)\n",
    "df['Partner'] = df['Partner'].apply(par_to_cat)\n",
    "df['Dependents'] = df['Dependents'].apply(dep_to_cat)\n",
    "df['PhoneService'] = df['PhoneService'].apply(phos_to_cat)\n",
    "df['MultipleLines'] = df['MultipleLines'].apply(mul_to_cat)\n",
    "df['InternetService'] = df['InternetService'].apply(ints_to_cat)\n",
    "df['OnlineSecurity'] = df['OnlineSecurity'].apply(onls_to_cat)\n",
    "df['OnlineBackup'] = df['OnlineBackup'].apply(onlb_to_cat)\n",
    "df['DeviceProtection'] = df['DeviceProtection'].apply(dev_to_cat)\n",
    "df['TechSupport'] = df['TechSupport'].apply(tech_to_cat)\n",
    "df['StreamingTV'] = df['StreamingTV'].apply(strTV_to_cat)\n",
    "df['StreamingMovies'] = df['StreamingMovies'].apply(strM_to_cat)\n",
    "df['Contract'] = df['Contract'].apply(con_to_cat)\n",
    "df['PaperlessBilling'] = df['PaperlessBilling'].apply(paplb_to_cat)\n",
    "df['PaymentMethod'] = df['PaymentMethod'].apply(paym_to_cat)\n",
    "#df['TotalCharges'] = df['TotalCharges'].apply(Tot_to_cat)\n",
    "df['Churn'] = df['Churn'].apply(churn_to_cat)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</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>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</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>2</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen  Partner  Dependents  tenure  \\\n",
       "0  7590-VHVEG       0              0        1           0       1   \n",
       "1  5575-GNVDE       1              0        0           0      34   \n",
       "2  3668-QPYBK       1              0        0           0       2   \n",
       "3  7795-CFOCW       1              0        0           0      45   \n",
       "4  9237-HQITU       0              0        0           0       2   \n",
       "\n",
       "   PhoneService  MultipleLines  InternetService  OnlineSecurity  ...   \\\n",
       "0             0              2                0               0  ...    \n",
       "1             1              0                0               1  ...    \n",
       "2             1              0                0               1  ...    \n",
       "3             0              2                0               1  ...    \n",
       "4             1              0                1               0  ...    \n",
       "\n",
       "   DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
       "0                 0            0            0                0         1   \n",
       "1                 1            0            0                0         0   \n",
       "2                 0            0            0                0         1   \n",
       "3                 1            1            0                0         0   \n",
       "4                 0            0            0                0         1   \n",
       "\n",
       "   PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges Churn  \n",
       "0                 1              1           29.85         29.85     0  \n",
       "1                 0              0           56.95        1889.5     0  \n",
       "2                 1              0           53.85        108.15     1  \n",
       "3                 0              2           42.30       1840.75     0  \n",
       "4                 1              1           70.70        151.65     1  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df = pd.concat([df,gender,Partner],axis=1)\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 21 columns):\n",
      "customerID          7043 non-null object\n",
      "gender              7043 non-null int64\n",
      "SeniorCitizen       7043 non-null int64\n",
      "Partner             7043 non-null int64\n",
      "Dependents          7043 non-null int64\n",
      "tenure              7043 non-null int64\n",
      "PhoneService        7043 non-null int64\n",
      "MultipleLines       7043 non-null int64\n",
      "InternetService     7043 non-null int64\n",
      "OnlineSecurity      7043 non-null int64\n",
      "OnlineBackup        7043 non-null int64\n",
      "DeviceProtection    7043 non-null int64\n",
      "TechSupport         7043 non-null int64\n",
      "StreamingTV         7043 non-null int64\n",
      "StreamingMovies     7043 non-null int64\n",
      "Contract            7043 non-null int64\n",
      "PaperlessBilling    7043 non-null int64\n",
      "PaymentMethod       7043 non-null int64\n",
      "MonthlyCharges      7043 non-null float64\n",
      "TotalCharges        7043 non-null object\n",
      "Churn               7043 non-null int64\n",
      "dtypes: float64(1), int64(18), object(2)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df.drop(['customerID'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.drop(['TotalCharges'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df.dtypes.eq(object)\n",
    "c = df.columns[df.dtypes.eq(object)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[c] = df[c].apply(pd.to_numeric, errors='coerce', axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#c = df.columns[df.dtypes.eq(int)]\n",
    "#df[c] = df[c].apply(pd.to_numeric, errors='coerce', axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df.astype('float64')#TotalCharges.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 19 columns):\n",
      "gender              7043 non-null float64\n",
      "SeniorCitizen       7043 non-null float64\n",
      "Partner             7043 non-null float64\n",
      "Dependents          7043 non-null float64\n",
      "tenure              7043 non-null float64\n",
      "PhoneService        7043 non-null float64\n",
      "MultipleLines       7043 non-null float64\n",
      "InternetService     7043 non-null float64\n",
      "OnlineSecurity      7043 non-null float64\n",
      "OnlineBackup        7043 non-null float64\n",
      "DeviceProtection    7043 non-null float64\n",
      "TechSupport         7043 non-null float64\n",
      "StreamingTV         7043 non-null float64\n",
      "StreamingMovies     7043 non-null float64\n",
      "Contract            7043 non-null float64\n",
      "PaperlessBilling    7043 non-null float64\n",
      "PaymentMethod       7043 non-null float64\n",
      "MonthlyCharges      7043 non-null float64\n",
      "Churn               7043 non-null float64\n",
      "dtypes: float64(19)\n",
      "memory usage: 1.0 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.85</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>42.30</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>70.70</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
       "0     0.0            0.0      1.0         0.0     1.0           0.0   \n",
       "1     1.0            0.0      0.0         0.0    34.0           1.0   \n",
       "2     1.0            0.0      0.0         0.0     2.0           1.0   \n",
       "3     1.0            0.0      0.0         0.0    45.0           0.0   \n",
       "4     0.0            0.0      0.0         0.0     2.0           1.0   \n",
       "\n",
       "   MultipleLines  InternetService  OnlineSecurity  OnlineBackup  \\\n",
       "0            2.0              0.0             0.0           1.0   \n",
       "1            0.0              0.0             1.0           0.0   \n",
       "2            0.0              0.0             1.0           1.0   \n",
       "3            2.0              0.0             1.0           0.0   \n",
       "4            0.0              1.0             0.0           0.0   \n",
       "\n",
       "   DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
       "0               0.0          0.0          0.0              0.0       1.0   \n",
       "1               1.0          0.0          0.0              0.0       0.0   \n",
       "2               0.0          0.0          0.0              0.0       1.0   \n",
       "3               1.0          1.0          0.0              0.0       0.0   \n",
       "4               0.0          0.0          0.0              0.0       1.0   \n",
       "\n",
       "   PaperlessBilling  PaymentMethod  MonthlyCharges  Churn  \n",
       "0               1.0            1.0           29.85    0.0  \n",
       "1               0.0            0.0           56.95    0.0  \n",
       "2               1.0            0.0           53.85    1.0  \n",
       "3               0.0            2.0           42.30    0.0  \n",
       "4               1.0            1.0           70.70    1.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df['TotalCharges'] = df.TotalCharges.astype(float)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our data is ready for our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001874</td>\n",
       "      <td>-0.001808</td>\n",
       "      <td>0.010517</td>\n",
       "      <td>0.005106</td>\n",
       "      <td>-0.006488</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>-0.000863</td>\n",
       "      <td>-0.017021</td>\n",
       "      <td>-0.013773</td>\n",
       "      <td>-0.002105</td>\n",
       "      <td>-0.009212</td>\n",
       "      <td>-0.008393</td>\n",
       "      <td>-0.010487</td>\n",
       "      <td>-0.007230</td>\n",
       "      <td>-0.011754</td>\n",
       "      <td>-0.010709</td>\n",
       "      <td>-0.014569</td>\n",
       "      <td>-0.008612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <td>-0.001874</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.016479</td>\n",
       "      <td>-0.211185</td>\n",
       "      <td>0.016567</td>\n",
       "      <td>0.008576</td>\n",
       "      <td>0.099883</td>\n",
       "      <td>-0.032310</td>\n",
       "      <td>-0.038653</td>\n",
       "      <td>0.066572</td>\n",
       "      <td>0.059428</td>\n",
       "      <td>-0.060625</td>\n",
       "      <td>0.105378</td>\n",
       "      <td>0.120176</td>\n",
       "      <td>-0.046573</td>\n",
       "      <td>0.156530</td>\n",
       "      <td>0.035614</td>\n",
       "      <td>0.220173</td>\n",
       "      <td>0.150889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner</th>\n",
       "      <td>-0.001808</td>\n",
       "      <td>0.016479</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.452676</td>\n",
       "      <td>0.379697</td>\n",
       "      <td>0.017706</td>\n",
       "      <td>0.090981</td>\n",
       "      <td>0.000891</td>\n",
       "      <td>0.143106</td>\n",
       "      <td>0.141498</td>\n",
       "      <td>0.153786</td>\n",
       "      <td>0.119999</td>\n",
       "      <td>0.124666</td>\n",
       "      <td>0.117412</td>\n",
       "      <td>0.108052</td>\n",
       "      <td>-0.014877</td>\n",
       "      <td>0.143949</td>\n",
       "      <td>0.096848</td>\n",
       "      <td>-0.150448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dependents</th>\n",
       "      <td>0.010517</td>\n",
       "      <td>-0.211185</td>\n",
       "      <td>0.452676</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.159712</td>\n",
       "      <td>-0.001762</td>\n",
       "      <td>-0.016875</td>\n",
       "      <td>0.044590</td>\n",
       "      <td>0.080972</td>\n",
       "      <td>0.023671</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.063268</td>\n",
       "      <td>-0.016558</td>\n",
       "      <td>-0.039741</td>\n",
       "      <td>0.089060</td>\n",
       "      <td>-0.111377</td>\n",
       "      <td>0.043494</td>\n",
       "      <td>-0.113890</td>\n",
       "      <td>-0.164221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenure</th>\n",
       "      <td>0.005106</td>\n",
       "      <td>0.016567</td>\n",
       "      <td>0.379697</td>\n",
       "      <td>0.159712</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.008448</td>\n",
       "      <td>0.242279</td>\n",
       "      <td>-0.030359</td>\n",
       "      <td>0.327203</td>\n",
       "      <td>0.360277</td>\n",
       "      <td>0.360653</td>\n",
       "      <td>0.324221</td>\n",
       "      <td>0.279756</td>\n",
       "      <td>0.286111</td>\n",
       "      <td>0.233426</td>\n",
       "      <td>0.006152</td>\n",
       "      <td>0.366983</td>\n",
       "      <td>0.247900</td>\n",
       "      <td>-0.352229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhoneService</th>\n",
       "      <td>-0.006488</td>\n",
       "      <td>0.008576</td>\n",
       "      <td>0.017706</td>\n",
       "      <td>-0.001762</td>\n",
       "      <td>0.008448</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.691070</td>\n",
       "      <td>0.387436</td>\n",
       "      <td>-0.092893</td>\n",
       "      <td>-0.052312</td>\n",
       "      <td>-0.071227</td>\n",
       "      <td>-0.096340</td>\n",
       "      <td>-0.022574</td>\n",
       "      <td>-0.032959</td>\n",
       "      <td>0.003940</td>\n",
       "      <td>0.016505</td>\n",
       "      <td>-0.001724</td>\n",
       "      <td>0.247398</td>\n",
       "      <td>0.011942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MultipleLines</th>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.099883</td>\n",
       "      <td>0.090981</td>\n",
       "      <td>-0.016875</td>\n",
       "      <td>0.242279</td>\n",
       "      <td>-0.691070</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.340949</td>\n",
       "      <td>0.157614</td>\n",
       "      <td>0.199417</td>\n",
       "      <td>0.215643</td>\n",
       "      <td>0.162576</td>\n",
       "      <td>0.213945</td>\n",
       "      <td>0.224513</td>\n",
       "      <td>0.049224</td>\n",
       "      <td>0.108230</td>\n",
       "      <td>0.126071</td>\n",
       "      <td>0.146153</td>\n",
       "      <td>0.019423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>InternetService</th>\n",
       "      <td>-0.000863</td>\n",
       "      <td>-0.032310</td>\n",
       "      <td>0.000891</td>\n",
       "      <td>0.044590</td>\n",
       "      <td>-0.030359</td>\n",
       "      <td>0.387436</td>\n",
       "      <td>-0.340949</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.393013</td>\n",
       "      <td>-0.314737</td>\n",
       "      <td>-0.306805</td>\n",
       "      <td>-0.389382</td>\n",
       "      <td>-0.242532</td>\n",
       "      <td>-0.250343</td>\n",
       "      <td>0.070157</td>\n",
       "      <td>-0.138625</td>\n",
       "      <td>-0.092141</td>\n",
       "      <td>-0.323260</td>\n",
       "      <td>-0.047291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <td>-0.017021</td>\n",
       "      <td>-0.038653</td>\n",
       "      <td>0.143106</td>\n",
       "      <td>0.080972</td>\n",
       "      <td>0.327203</td>\n",
       "      <td>-0.092893</td>\n",
       "      <td>0.157614</td>\n",
       "      <td>-0.393013</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.283832</td>\n",
       "      <td>0.275438</td>\n",
       "      <td>0.354931</td>\n",
       "      <td>0.176207</td>\n",
       "      <td>0.187398</td>\n",
       "      <td>0.061565</td>\n",
       "      <td>-0.003636</td>\n",
       "      <td>0.158301</td>\n",
       "      <td>0.296594</td>\n",
       "      <td>-0.171226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineBackup</th>\n",
       "      <td>-0.013773</td>\n",
       "      <td>0.066572</td>\n",
       "      <td>0.141498</td>\n",
       "      <td>0.023671</td>\n",
       "      <td>0.360277</td>\n",
       "      <td>-0.052312</td>\n",
       "      <td>0.199417</td>\n",
       "      <td>-0.314737</td>\n",
       "      <td>0.283832</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.303546</td>\n",
       "      <td>0.294233</td>\n",
       "      <td>0.282106</td>\n",
       "      <td>0.274501</td>\n",
       "      <td>0.020259</td>\n",
       "      <td>0.126735</td>\n",
       "      <td>0.172691</td>\n",
       "      <td>0.441780</td>\n",
       "      <td>-0.082255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DeviceProtection</th>\n",
       "      <td>-0.002105</td>\n",
       "      <td>0.059428</td>\n",
       "      <td>0.153786</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.360653</td>\n",
       "      <td>-0.071227</td>\n",
       "      <td>0.215643</td>\n",
       "      <td>-0.306805</td>\n",
       "      <td>0.275438</td>\n",
       "      <td>0.303546</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.333313</td>\n",
       "      <td>0.390874</td>\n",
       "      <td>0.402111</td>\n",
       "      <td>0.043127</td>\n",
       "      <td>0.103797</td>\n",
       "      <td>0.192447</td>\n",
       "      <td>0.482692</td>\n",
       "      <td>-0.066160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TechSupport</th>\n",
       "      <td>-0.009212</td>\n",
       "      <td>-0.060625</td>\n",
       "      <td>0.119999</td>\n",
       "      <td>0.063268</td>\n",
       "      <td>0.324221</td>\n",
       "      <td>-0.096340</td>\n",
       "      <td>0.162576</td>\n",
       "      <td>-0.389382</td>\n",
       "      <td>0.354931</td>\n",
       "      <td>0.294233</td>\n",
       "      <td>0.333313</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.278070</td>\n",
       "      <td>0.279358</td>\n",
       "      <td>0.095528</td>\n",
       "      <td>0.037880</td>\n",
       "      <td>0.163726</td>\n",
       "      <td>0.338304</td>\n",
       "      <td>-0.164674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingTV</th>\n",
       "      <td>-0.008393</td>\n",
       "      <td>0.105378</td>\n",
       "      <td>0.124666</td>\n",
       "      <td>-0.016558</td>\n",
       "      <td>0.279756</td>\n",
       "      <td>-0.022574</td>\n",
       "      <td>0.213945</td>\n",
       "      <td>-0.242532</td>\n",
       "      <td>0.176207</td>\n",
       "      <td>0.282106</td>\n",
       "      <td>0.390874</td>\n",
       "      <td>0.278070</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.533094</td>\n",
       "      <td>0.008572</td>\n",
       "      <td>0.223841</td>\n",
       "      <td>0.146964</td>\n",
       "      <td>0.629603</td>\n",
       "      <td>0.063228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingMovies</th>\n",
       "      <td>-0.010487</td>\n",
       "      <td>0.120176</td>\n",
       "      <td>0.117412</td>\n",
       "      <td>-0.039741</td>\n",
       "      <td>0.286111</td>\n",
       "      <td>-0.032959</td>\n",
       "      <td>0.224513</td>\n",
       "      <td>-0.250343</td>\n",
       "      <td>0.187398</td>\n",
       "      <td>0.274501</td>\n",
       "      <td>0.402111</td>\n",
       "      <td>0.279358</td>\n",
       "      <td>0.533094</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007779</td>\n",
       "      <td>0.211716</td>\n",
       "      <td>0.155315</td>\n",
       "      <td>0.627429</td>\n",
       "      <td>0.061382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contract</th>\n",
       "      <td>-0.007230</td>\n",
       "      <td>-0.046573</td>\n",
       "      <td>0.108052</td>\n",
       "      <td>0.089060</td>\n",
       "      <td>0.233426</td>\n",
       "      <td>0.003940</td>\n",
       "      <td>0.049224</td>\n",
       "      <td>0.070157</td>\n",
       "      <td>0.061565</td>\n",
       "      <td>0.020259</td>\n",
       "      <td>0.043127</td>\n",
       "      <td>0.095528</td>\n",
       "      <td>0.008572</td>\n",
       "      <td>0.007779</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.063170</td>\n",
       "      <td>0.079649</td>\n",
       "      <td>-0.050631</td>\n",
       "      <td>-0.084919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <td>-0.011754</td>\n",
       "      <td>0.156530</td>\n",
       "      <td>-0.014877</td>\n",
       "      <td>-0.111377</td>\n",
       "      <td>0.006152</td>\n",
       "      <td>0.016505</td>\n",
       "      <td>0.108230</td>\n",
       "      <td>-0.138625</td>\n",
       "      <td>-0.003636</td>\n",
       "      <td>0.126735</td>\n",
       "      <td>0.103797</td>\n",
       "      <td>0.037880</td>\n",
       "      <td>0.223841</td>\n",
       "      <td>0.211716</td>\n",
       "      <td>-0.063170</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064183</td>\n",
       "      <td>0.352150</td>\n",
       "      <td>0.191825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaymentMethod</th>\n",
       "      <td>-0.010709</td>\n",
       "      <td>0.035614</td>\n",
       "      <td>0.143949</td>\n",
       "      <td>0.043494</td>\n",
       "      <td>0.366983</td>\n",
       "      <td>-0.001724</td>\n",
       "      <td>0.126071</td>\n",
       "      <td>-0.092141</td>\n",
       "      <td>0.158301</td>\n",
       "      <td>0.172691</td>\n",
       "      <td>0.192447</td>\n",
       "      <td>0.163726</td>\n",
       "      <td>0.146964</td>\n",
       "      <td>0.155315</td>\n",
       "      <td>0.079649</td>\n",
       "      <td>0.064183</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.189154</td>\n",
       "      <td>-0.113467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <td>-0.014569</td>\n",
       "      <td>0.220173</td>\n",
       "      <td>0.096848</td>\n",
       "      <td>-0.113890</td>\n",
       "      <td>0.247900</td>\n",
       "      <td>0.247398</td>\n",
       "      <td>0.146153</td>\n",
       "      <td>-0.323260</td>\n",
       "      <td>0.296594</td>\n",
       "      <td>0.441780</td>\n",
       "      <td>0.482692</td>\n",
       "      <td>0.338304</td>\n",
       "      <td>0.629603</td>\n",
       "      <td>0.627429</td>\n",
       "      <td>-0.050631</td>\n",
       "      <td>0.352150</td>\n",
       "      <td>0.189154</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.193356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Churn</th>\n",
       "      <td>-0.008612</td>\n",
       "      <td>0.150889</td>\n",
       "      <td>-0.150448</td>\n",
       "      <td>-0.164221</td>\n",
       "      <td>-0.352229</td>\n",
       "      <td>0.011942</td>\n",
       "      <td>0.019423</td>\n",
       "      <td>-0.047291</td>\n",
       "      <td>-0.171226</td>\n",
       "      <td>-0.082255</td>\n",
       "      <td>-0.066160</td>\n",
       "      <td>-0.164674</td>\n",
       "      <td>0.063228</td>\n",
       "      <td>0.061382</td>\n",
       "      <td>-0.084919</td>\n",
       "      <td>0.191825</td>\n",
       "      <td>-0.113467</td>\n",
       "      <td>0.193356</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    gender  SeniorCitizen   Partner  Dependents    tenure  \\\n",
       "gender            1.000000      -0.001874 -0.001808    0.010517  0.005106   \n",
       "SeniorCitizen    -0.001874       1.000000  0.016479   -0.211185  0.016567   \n",
       "Partner          -0.001808       0.016479  1.000000    0.452676  0.379697   \n",
       "Dependents        0.010517      -0.211185  0.452676    1.000000  0.159712   \n",
       "tenure            0.005106       0.016567  0.379697    0.159712  1.000000   \n",
       "PhoneService     -0.006488       0.008576  0.017706   -0.001762  0.008448   \n",
       "MultipleLines    -0.000485       0.099883  0.090981   -0.016875  0.242279   \n",
       "InternetService  -0.000863      -0.032310  0.000891    0.044590 -0.030359   \n",
       "OnlineSecurity   -0.017021      -0.038653  0.143106    0.080972  0.327203   \n",
       "OnlineBackup     -0.013773       0.066572  0.141498    0.023671  0.360277   \n",
       "DeviceProtection -0.002105       0.059428  0.153786    0.013963  0.360653   \n",
       "TechSupport      -0.009212      -0.060625  0.119999    0.063268  0.324221   \n",
       "StreamingTV      -0.008393       0.105378  0.124666   -0.016558  0.279756   \n",
       "StreamingMovies  -0.010487       0.120176  0.117412   -0.039741  0.286111   \n",
       "Contract         -0.007230      -0.046573  0.108052    0.089060  0.233426   \n",
       "PaperlessBilling -0.011754       0.156530 -0.014877   -0.111377  0.006152   \n",
       "PaymentMethod    -0.010709       0.035614  0.143949    0.043494  0.366983   \n",
       "MonthlyCharges   -0.014569       0.220173  0.096848   -0.113890  0.247900   \n",
       "Churn            -0.008612       0.150889 -0.150448   -0.164221 -0.352229   \n",
       "\n",
       "                  PhoneService  MultipleLines  InternetService  \\\n",
       "gender               -0.006488      -0.000485        -0.000863   \n",
       "SeniorCitizen         0.008576       0.099883        -0.032310   \n",
       "Partner               0.017706       0.090981         0.000891   \n",
       "Dependents           -0.001762      -0.016875         0.044590   \n",
       "tenure                0.008448       0.242279        -0.030359   \n",
       "PhoneService          1.000000      -0.691070         0.387436   \n",
       "MultipleLines        -0.691070       1.000000        -0.340949   \n",
       "InternetService       0.387436      -0.340949         1.000000   \n",
       "OnlineSecurity       -0.092893       0.157614        -0.393013   \n",
       "OnlineBackup         -0.052312       0.199417        -0.314737   \n",
       "DeviceProtection     -0.071227       0.215643        -0.306805   \n",
       "TechSupport          -0.096340       0.162576        -0.389382   \n",
       "StreamingTV          -0.022574       0.213945        -0.242532   \n",
       "StreamingMovies      -0.032959       0.224513        -0.250343   \n",
       "Contract              0.003940       0.049224         0.070157   \n",
       "PaperlessBilling      0.016505       0.108230        -0.138625   \n",
       "PaymentMethod        -0.001724       0.126071        -0.092141   \n",
       "MonthlyCharges        0.247398       0.146153        -0.323260   \n",
       "Churn                 0.011942       0.019423        -0.047291   \n",
       "\n",
       "                  OnlineSecurity  OnlineBackup  DeviceProtection  TechSupport  \\\n",
       "gender                 -0.017021     -0.013773         -0.002105    -0.009212   \n",
       "SeniorCitizen          -0.038653      0.066572          0.059428    -0.060625   \n",
       "Partner                 0.143106      0.141498          0.153786     0.119999   \n",
       "Dependents              0.080972      0.023671          0.013963     0.063268   \n",
       "tenure                  0.327203      0.360277          0.360653     0.324221   \n",
       "PhoneService           -0.092893     -0.052312         -0.071227    -0.096340   \n",
       "MultipleLines           0.157614      0.199417          0.215643     0.162576   \n",
       "InternetService        -0.393013     -0.314737         -0.306805    -0.389382   \n",
       "OnlineSecurity          1.000000      0.283832          0.275438     0.354931   \n",
       "OnlineBackup            0.283832      1.000000          0.303546     0.294233   \n",
       "DeviceProtection        0.275438      0.303546          1.000000     0.333313   \n",
       "TechSupport             0.354931      0.294233          0.333313     1.000000   \n",
       "StreamingTV             0.176207      0.282106          0.390874     0.278070   \n",
       "StreamingMovies         0.187398      0.274501          0.402111     0.279358   \n",
       "Contract                0.061565      0.020259          0.043127     0.095528   \n",
       "PaperlessBilling       -0.003636      0.126735          0.103797     0.037880   \n",
       "PaymentMethod           0.158301      0.172691          0.192447     0.163726   \n",
       "MonthlyCharges          0.296594      0.441780          0.482692     0.338304   \n",
       "Churn                  -0.171226     -0.082255         -0.066160    -0.164674   \n",
       "\n",
       "                  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
       "gender              -0.008393        -0.010487 -0.007230         -0.011754   \n",
       "SeniorCitizen        0.105378         0.120176 -0.046573          0.156530   \n",
       "Partner              0.124666         0.117412  0.108052         -0.014877   \n",
       "Dependents          -0.016558        -0.039741  0.089060         -0.111377   \n",
       "tenure               0.279756         0.286111  0.233426          0.006152   \n",
       "PhoneService        -0.022574        -0.032959  0.003940          0.016505   \n",
       "MultipleLines        0.213945         0.224513  0.049224          0.108230   \n",
       "InternetService     -0.242532        -0.250343  0.070157         -0.138625   \n",
       "OnlineSecurity       0.176207         0.187398  0.061565         -0.003636   \n",
       "OnlineBackup         0.282106         0.274501  0.020259          0.126735   \n",
       "DeviceProtection     0.390874         0.402111  0.043127          0.103797   \n",
       "TechSupport          0.278070         0.279358  0.095528          0.037880   \n",
       "StreamingTV          1.000000         0.533094  0.008572          0.223841   \n",
       "StreamingMovies      0.533094         1.000000  0.007779          0.211716   \n",
       "Contract             0.008572         0.007779  1.000000         -0.063170   \n",
       "PaperlessBilling     0.223841         0.211716 -0.063170          1.000000   \n",
       "PaymentMethod        0.146964         0.155315  0.079649          0.064183   \n",
       "MonthlyCharges       0.629603         0.627429 -0.050631          0.352150   \n",
       "Churn                0.063228         0.061382 -0.084919          0.191825   \n",
       "\n",
       "                  PaymentMethod  MonthlyCharges     Churn  \n",
       "gender                -0.010709       -0.014569 -0.008612  \n",
       "SeniorCitizen          0.035614        0.220173  0.150889  \n",
       "Partner                0.143949        0.096848 -0.150448  \n",
       "Dependents             0.043494       -0.113890 -0.164221  \n",
       "tenure                 0.366983        0.247900 -0.352229  \n",
       "PhoneService          -0.001724        0.247398  0.011942  \n",
       "MultipleLines          0.126071        0.146153  0.019423  \n",
       "InternetService       -0.092141       -0.323260 -0.047291  \n",
       "OnlineSecurity         0.158301        0.296594 -0.171226  \n",
       "OnlineBackup           0.172691        0.441780 -0.082255  \n",
       "DeviceProtection       0.192447        0.482692 -0.066160  \n",
       "TechSupport            0.163726        0.338304 -0.164674  \n",
       "StreamingTV            0.146964        0.629603  0.063228  \n",
       "StreamingMovies        0.155315        0.627429  0.061382  \n",
       "Contract               0.079649       -0.050631 -0.084919  \n",
       "PaperlessBilling       0.064183        0.352150  0.191825  \n",
       "PaymentMethod          1.000000        0.189154 -0.113467  \n",
       "MonthlyCharges         0.189154        1.000000  0.193356  \n",
       "Churn                 -0.113467        0.193356  1.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_pearson = df.corr('pearson')\n",
    "corr_pearson"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fitting a Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point we can construct our model. The  rst thing to do is split our dataset into training and test sets. We will take a simple approach and take a 75:25 randomly sampled split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = df.drop('Churn',axis=1)\n",
    "y = df['Churn']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Test Split\n",
    "\n",
    "Now its time to split our data into a training set and a testing set!\n",
    "\n",
    "** Use sklearn to split your data into a training set and a testing set.**\n",
    "\n",
    "The decision tree structure can be analysed to gain further insight on the relation between the features and the target to predict. In this example, we show how to retrieve:\n",
    "\n",
    "- the binary tree structure;\n",
    "- the depth of each node and whether or not it’s a leaf;\n",
    "- the nodes that were reached by a sample using the decision_path method;\n",
    "- the leaf that was reached by a sample using the apply method;\n",
    "- the rules that were used to predict a sample;\n",
    "- the decision path shared by a group of samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training a Decision Tree Model\n",
    "\n",
    "Let's start by training a single decision tree first!\n",
    "\n",
    "** Import DecisionTreeClassifier**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dtree = DecisionTreeClassifier(max_leaf_nodes=10, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((5634, 18), (5634,))"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1409, 18), (1409,))"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender              float64\n",
       "SeniorCitizen       float64\n",
       "Partner             float64\n",
       "Dependents          float64\n",
       "tenure              float64\n",
       "PhoneService        float64\n",
       "MultipleLines       float64\n",
       "InternetService     float64\n",
       "OnlineSecurity      float64\n",
       "OnlineBackup        float64\n",
       "DeviceProtection    float64\n",
       "TechSupport         float64\n",
       "StreamingTV         float64\n",
       "StreamingMovies     float64\n",
       "Contract            float64\n",
       "PaperlessBilling    float64\n",
       "PaymentMethod       float64\n",
       "MonthlyCharges      float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a15a95850>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ll8PX1xe+vr4YMGCAqifWtpydnREfH4/k5GSkpqYiNTVVahwAGDduHE6cOAGgdN1rwoQJ\nUuNERERg9erVcHFxwXvvvadpJ0pQUJCy1ahq1aqqb3WPHj2K0NBQpKamYurUqQgNDcWMGTPwyiuv\nSF/T2LFjERQUhDFjxqB///7KGp+MSZMmoVatWhg7dixq164t/TXv27cvLBYLTp06BbPZLHXr3aRJ\nE7zxxhua7kxsff3114iOjsZjjz2GESNGIC4uTnosDw8PDBo0CHPnzoW/v7+mpZRp06bB29sbQUFB\nyvdSxoEDB9C1a1eMGDECXbp0wd69e6WvKTQ0VLecklrTfeutt9C3b1/k5OTA29sbb7/9tvQFnD9/\nHrNmzcLhw4fRuXPnMgvfarVq1QpBQUHIyMhAaGgomjdvrnqMXr16oX379liyZAnee+89AKUPeR5/\n/HGpa8rOzsaKFSuUP2t5uJeRkYF+/foBAAICAuDv7y81jp4P927evIlOnToBAN544w3V26C6dOmC\nLl264Ndff9W0tmzL9rb2+vXrmDp1qvRYubm5ytf5mWeewU8//SQ1TlhYGCpWrIjWrVvjt99+Q2ho\nKObMmaNqjNOnT0v9t+9Fj0mK1YgRI9CpUyekpqaid+/emrazHTt2DHFxcZomcwDwySefYO3atXjy\nySeRkZGBUaNG4eWXX5Yay5pTR44c0ZxTUqHbrVs3vPTSSzh37hxcXV1RvXp16QuwWCzIycmByWRC\nXl6epi90UFAQdu3ahaZNm6Jhw4ZKGKjh6OgIV1dXTJ8+HYmJiSgsLAQAXLx4EW3atFE93qpVq1S/\n5l5MJhNSU1NRv359nD9/Xnr3gp4P9xwcHLB3714899xzSEhIUP39++KLLzBixAh8//332Lx5c5l/\nk3lgdbsqVargwoUL0q8vLCxEVlYWnnjiCVy5ckX6a56amoo1a9YAADw9PeHr66t6jIyMjHuuk8o8\nBNNjkmJ17tw57Nq1C0VFRUhJScHatWsxY8YMqbHq1auHwsJCTR8CQOmHypNPPgkAePLJJ6V31gD/\nySkAmnNKVej+3QZ6tZ/aVmPGjMHAgQORlZUFHx8fTJ48WWocoPSLkZeXBxcXF1y7dg2bNm2SfoIa\nGBiI7Oxs1KxZE8B/toyo1blzZ2VXBlAaAn+3efvvTJw4EWPHjsWVK1dQo0YNTJ8+XWqc6dOnIyYm\nBq1atUKlSpXw4YcfSo0DADNnzsS8efMwc+ZMNGrUSPUPmvU2tHv37nB2dpa+Dls+Pj7K1zw7Oxvt\n27eXHuv999+Hr68vKleujPz8fOmvVWFhIQoLC+Hk5ITCwkKp8C4qKkJWVpbUf/9u9JikWAUHB+O1\n117D77//jho1aqCgoEB6rMuXL6NTp07KVlKTyYR169apHqdy5cpYtWoV2rRpg99++w1Vq1aVvqbb\nc2rSpEnSY6navbB7924AULZzvPDCC0hISEBCQoL0rMT6dDonJwfVqlXDoUOH0LZtW6mxBg8ejBo1\napQJStn1IF9fX6lv9O2s651CCCQmJmLbtm2aPlj0IIRAQkKCMosHoPoDpbi4GPb29nc9Oiqz5jhw\n4EDdTjleunRJ+b2TkxOqVq0KBwcHTWPm5ORouqPbtGkTFi9ejCZNmuDMmTMYPnw4vLy8VI3h7++v\ny53TL7/8gk6dOt111iy7bWzw4MFYuXIlJk6ciDlz5mDQoEFYu3at1Fi23z8rmdOgN27cwBdffIGU\nlBQ0bNgQ7777rqbgBbS/DwCVM90OHToAKF2ADwgIAFB6i/LOO+9IX4CnpyemTZumbKz+/PPPpUNX\nCKEctdSqfv36yMjIUG5PZNkGUKtWraS21gUGBuLTTz+968MlmQd8o0aNQm5uLmrWrKkcvVYbuiEh\nIViwYIGyNQ+ApmPcVatWxTfffFNmS5Xsw7StW7cq78/Tp08jICDgrlsT/86MGTMQGhpaZtZsJfNh\n3Lt3b3Ts2BEXLlxAnTp1pH5wtb4Xraz7VfWcNZtMJmRlZSE/Px8FBQVSM92YmBh4e3tj3bp1d3zN\nZSZPlSpVQvfu3XHz5k2YTCacPn1a6m4V0H402ZbUmm5BQQH279+P5s2b448//igzY1KrRYsWOHjw\nILKysjB8+HBNRWuaNGmCo0ePljkTLfuk9/fff0enTp1QrVo15Q0gE3ALFixQXp+ZmSm1FvTpp58C\nADZv3qz5UxYoveXWOou33tl8/vnn8mfQbVSrVg0nT57EyZMnlb+TDd0zZ87g22+/RUFBATZt2oRp\n06apHsO6v3vevHllZsnXrl2TuqajR49i+vTpyMjIQO3atTFjxgzVD5usE4rffvutzN9bA+Cpp566\nr3Gs++CvXbsGHx8f5fSeFqNGjUJcXBx69eqFLl26oFevXqrHsF5/gwYNNF8PUDpZuXHjBp544gnp\nyYVVu3bt4OnpidatW+OPP/5ATEwM+vXrh5kzZ6q+Q5MK3VmzZiE8PBypqalo3Lix6iIZZS7A3h7h\n4eH48MMP8eGHH2q6DTx06BB27Nih/FlL8RzZp9S3s30Dubu7K3cLMoYNG4Y6depgwIAB0k9hAf1m\n8UDpE+KrV6+ib9++6Nmzp/QGe9lnAnczd+5cjBs3Djk5OdiwYYPUB68QAqmpqQgJCcH8+fMhhEBJ\nSQlCQ0Oxfv161eNNnz4dc+bMQZMmTXDy5ElMmzZN+oMvIiICV65cQbNmzfDXX3/BwcEBZrMZ3t7e\nGDZs2H2P07p1a4SHhyM/Px99+/ZF9+7dpY88Hzt2DEOHDgVQun1Mhslkwp49e/DEE09Ivf52ubm5\n0ksct9N6NNmWVOg2bNgQkZGRMi+9g3VmO3XqVERERNz1BND9mjlzZplTYzLn0a3OnDmDsLAwXL9+\nHV5eXmjcuLHUg4bevXuXWT89efKk9Kftxo0bkZCQgI0bN+Ljjz9Gly5dMHz4cNXjHDlyBJ06dSoz\na5bdhxwZGYmsrCx8//33GDJkCBo2bIhZs2apHsd2Vnv16lXUqVMHP/74o6oxbJcCioqKcOrUKQwe\nPBiA+iWBo0eP4ptvvkFqaipCQ0MhhICdnZ307NvZ2RlNmjQBUPrhq6WeQ8WKFbF582Y4OTnBbDZj\n9OjR+Oyzz+Dn56cqdK11ITIzMzFnzhzMnj0bhw8flrqmX3/9FW+//bb00XQA2LJlyz3/TebrXqtW\nLVy+fFl5xqOFXkeTAcnQ1VruztZXX32l/H7MmDFSn5KHDx9GUlISVqxYoawvl5SUYM2aNYiNjZW6\nrpkzZ2LOnDmYMmUK+vfvj2HDhkmF7ujRo5GTk6PcOmm5xQGAxo0bo2XLljh//rz0D8jPP/8s/d+/\nm+LiYpjNZpSUlEj/0Nm+fy5duiQ1g7BdL7feTsoWX7HdP/ziiy/ikUce0XR38PjjjyM0NFSpByGE\nUGbM1ucZ9ys3N1fZ/uTo6Ijc3Fw4Ojqq3hGRlpaG7777Dj/99BOaNWuGpUuXqnr97dfUoUMHuLq6\nKvt+1X7Qye7GuZ01oM1mM7Zt24bHHntM+TfZnProo48QGRmJ+Ph4uLm5Yf78+Th27JjUBEMqdLdu\n3Yrdu3dr2kdnfVDh7++v+UGFs7Mzrly5ArPZrDwcMJlM0oVArOrVqweTyYTq1atLHyC4cuWKLrsg\ngNItY0ePHkXXrl0xffp01TUJrHtig4KC7viay+4+GTx4MMxmM/r3748VK1ZoOr9vVbt2balC+dYn\n3NHR0crSwJAhQ+Dl5SX19BsAEhIScOTIEQQFBWHWrFl49tln8e9//1v1ONZz+mfOnIGDgwOef/55\nXLx48Y7vw/3w8PDAwIED0aJFCyQkJKBz585Yu3YtGjdurGqc0aNHw9vbG2vXrkXlypVVX4etzz77\nTPPat+1DWSuZh7PWYL19lmstFiVj5syZd/yMSB/mkTk7PHz4cFFSUiJ99lgIIbKysoQQQqSmpoqL\nFy8qv6y1BWR89tlnmq7J1ujRo8W3334r+vfvL2JjY8WIESOkxpkwYYJIT0/X5Zri4uI0nSE/ceKE\nEEKIgwcP3vFLll5f87Fjx4qgoCARFBQk/Pz8xPDhw6XH6t27tygqKhJClNafHTBggPRYt9fv0FJT\nID4+Xnz11Vfi119/lR7D6sSJE2LLli3i1KlTQgghsrOzpX4mf/nlF7F06VKxfft2qet4ELUztDp1\n6pTYvXu38PLyEnv27BG7d+8Wv/76q/Dy8pIec9SoUeLEiRPi1q1bmut+S810bcvdWT+Z1M6UhM4P\nKoDSB2kWi0XTupLV7NmzERkZiWrVqiExMVHqNgLQbxcEACxfvlz6IQUA5Wn57VWyxo8fL1U5Cyg9\n3662ctfd2J7QqlixoqbqaXZ2drC3L31rOzg4SM0mrWyXKIqKiqR314SGhuLq1ato2bIlYmJisH//\nfunz+5cvX8bu3btRWFiIlJQU/Pzzz1LfgwULFuDcuXN44YUXsGnTJhw+fFh1bQnbtW/rcWvZtW+9\ntuldv34dW7ZsQXZ2trK8aDKZMGjQINXXZHX27NkyFQu1PKSXCl3rHkgt9PxmWemxrpSWlqb83vab\nVFBQUGZt6H7ptQsCKP1Gjxw5ssxeVtnDH7a0FOGxFm+xvSaZpYq8vDwkJiYiMDAQQ4cOxTvvvCP9\nXrAWX2nRogWOHz+uqfiKr6+vMsFISUmRfu//9ddfZSYTsi2bgNJTcu3bt9f8gOi3335Tfj7eeust\nDBgwQPUYetbOsIaabJlYq9atW6N169Y4fvw4mjVrhqtXr6Jq1aqaPnx/+OEHTddkSyp0mzZtekev\nLrUeRKETPXZUjB07FkDpE/T8/Hy4ubnhzJkzcHFxUb3BHtBvFwQApdjNw2TcuHG6jPPZZ58phYAi\nIiIQEBAgHbp6Fl/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rVBw5ckSqRoWtzz77DGvWrJGqpWxVtWpVpKWl4eeff1aWFfbt2yf9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\nP67QQqmuoAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a15a85690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(X_train.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
       "            max_features=None, max_leaf_nodes=10,\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, presort=False, random_state=0,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtree.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluating Our Model\n",
    "If we display the results we can see we have a list of booleans (0's and 1's) representing whether or not our model thinks a customer has churned or not. Now we can compare this to whether they actually churned to evaluate our model. We could also compute the actual classification of a customer churning using predict(). We could then use these probabilities as a threshold for driving business decisions around which customers we need to target for retention, and how strong an incentive we need to offer them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction and Evaluation \n",
    "\n",
    "Let's evaluate our decision tree."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predictions = dtree.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.81      0.89      0.85      1017\n",
      "        1.0       0.62      0.47      0.54       392\n",
      "\n",
      "avg / total       0.76      0.77      0.76      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[904 113]\n",
      " [207 185]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test,predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Accuracy: ', 0.77288857345635198)\n"
     ]
    }
   ],
   "source": [
    "score = dtree.score(X_test, y_test)\n",
    "print(\"Accuracy: \", score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Tree Visualization\n",
    "\n",
    "Scikit learn actually has some built-in visualization capabilities for decision trees, we won't use this often and it requires us to install the pydot library, but here is an example of what it looks like and the code to execute this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'SeniorCitizen',\n",
       " u'Partner',\n",
       " u'Dependents',\n",
       " u'tenure',\n",
       " u'PhoneService',\n",
       " u'MultipleLines',\n",
       " u'InternetService',\n",
       " u'OnlineSecurity',\n",
       " u'OnlineBackup',\n",
       " u'DeviceProtection',\n",
       " u'TechSupport',\n",
       " u'StreamingTV',\n",
       " u'StreamingMovies',\n",
       " u'Contract',\n",
       " u'PaperlessBilling',\n",
       " u'PaymentMethod',\n",
       " u'MonthlyCharges',\n",
       " u'Churn']"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image  \n",
    "from sklearn.externals.six import StringIO  \n",
    "from sklearn.tree import export_graphviz\n",
    "import pydot \n",
    "\n",
    "features = list(df.columns[1:])\n",
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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H0VCAAhSgAAUoQAEKUCDOCDx+Hpj5K2UrgjYp/2FNc3VxtqZbmH1cnJ2QSJXo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AucuP5AehxXd7TGLo8AnPF5iO3nb+PEjfuoV6oA8gufZBKPW88+gMsz2kuv5OBnUSKq+D5+XHAU\nb4QHfKMytnga+Qr7rwQJsXo3XMc1h0Ne3V7JD4RQ2/T3fXgW+RrtqtojZ1ZDHBdjdZp3GJPbVZJ7\nowXqu1+5mVT48vrtO/ReclzabPSuWwJrT8X+8E8R7WsWV/1cV5ZB3tKGIpra885TpQqNyxXEP4ev\nyQ8UiCsVEvPpXVH/7EYGsq5zDUcpTptm17YeOuv7SD5vUFrVV97wFybABJgAE2ACXwkBFqi/khfB\ny2ACTIAJMAEmwATSL4E3b97IyOYmTRpj5Ypl6o3a2dlh0OAh8PX1lVG8Dx48kOL0iOHDMGP6b+p2\nJUuWwOAhQ3HazQ3t27VT15NoOmXyJPw6ZrSs+6FDexkFTSL19ate6shgirQmcVyKtRpRwBEREfD2\nvCxFZhrA1fUovmvUGCNExPaeXTvV82hejBr9K4KCgnD2jJsUaOnZpIkTZMQ3RXqTaJ09e3a99qs5\nrnL99OlTLPxnkXIb57l1q5YoUaJEnM/1eeAvvKmJgW1he7x69cmXtXz5clizaiVIbKZC3KhMmDgZ\n9+/fl9f0xdDQEGN/HSMPdSVfMIGvlMCOC7fxKvo9FvasidI2FnKVJFRT5PPms35SoH70/IUUPPs3\nLC2jfpWtFM1nhrGbzuOs72O0rPgpMpeicUe3KI8hTcvIpq0qFZaCN4nUbpNbi4R8JrKeIq03u/sL\nsTtCXUcPIoVf8qmJrUTyQJX9xUkharcVkdsTRcT2+v4NZN+YXyZvF37wQuA+OKYZyhe2lI9HNi8n\n/Zknb/NA+yoOMMthBH32G3Nsuifhe4Ww5UioNCtvK/yizeJsNnHrBTx6/hJbBjdEhjhMlf0fhSOb\nYWYZCa05UMaMGWCbOyf8hAD9XiRzJeuOXnWL4/TNB5JvRXtLGGXODDefB+IDg2z4tWUFdfci1p+E\n/Yu3n8j36X33qfwwgqKonWxV717dgS+YABNgAkyACXwFBFig/gpeAi+BCTABJsAEmAATSN8E3r9/\nLzdIwvGVK1dEBHVZef/L//rhpx7dkSVLFnmfM2dOGU3t6FhEC0i2bFnlPYmpmiWjEC2GDxuqrnJy\nKi2v69SprRanqaJWLRcpUN+4cVOrnqKdKQJaKfXq1UWVKpVl9PV/OkxAQ0NDRXT2RmmbQVHGSiGh\ntnevnqD97di5Ex1/+EE+Smi/Sn/NM0Vmk+1IQoWimZMtUAsParLkmDZ1Clq2aC6iwp9i1eo1WLFy\nJZq3bI0rlzyk2K54VefNa4XVK1cIhg7YI2xSFiz8B+MnTESePJbo1bNnQkvm50zgixL48PHP9OoT\ntzClfWVkM8osbSWuzGwP5Y87WUYcGN1MS0SmRWcVIioVEpQ1S0YhvP7SsJS6qmQBVXLRGkWttcao\n5phXCtS+D8O06n+uV1ItTtMgNYvng7OdJU6KqGz6GRRT2A2LeiOjs8sIkVURp6mfYeZM6FrTUUZv\nU1R4FxdH6LNf6huzkEA9c8/lmNWx7u2scsYpUB/yuiv9nlf1qysF5FidP1YECsE+ZqSz0tbGIgd8\nHz5H5Ku3so1JViMZjU7+0lcCn8IgU0b53jKLvwfIJkRXoejq6bsuSRakkdOYb9990LIT0dXvS9fR\nWrkwASbABJjAt0WABepv633zbpkAE2ACTIAJMIEvQCBbtmyYMH4cxo2fIC00yD6jdq2aaNyoEb77\nroHaTiJHjhyoXLkSTp48hY2bNonEfLdx504QAgICdK6a7CVIHFaKInTns86nVMlzpkyZ5Dn6rba4\npMtTuUTxEnB3P6sVKawM5uPjKy+jol6gfYeOSrU8R0SqxPPbtwOg7361Bvh4Q2xeRH7yqtXVhuo0\n9x1Xm4TqV61YDiMjQ5QsWVI2dXBwQNWqVYRlign+mP2nFNvJksXFpQaOH3WFs3MFuTdq3K9vH7Rq\n2ULah8z4fRYL1AnB5udfnEC3mkWx43wA1girCbLgqOxgJQXhJsI6gmw/qOTIYoAKQiCmCGiKQA58\nHCmilSNxJ0TbK1/ZDEXvkjisFIrqpUJeyZolk4gIphItxFHNokRYa9YVtTbDBf8nwj7kJaxzqexE\nlOf+j1X+1C/evEXPRSobH+WZIp7fCVH9LNJnv0pfzbNDXhPcXdhNs0rnNVlw6CoUNT1g5Sl0rlEE\nTcrZ6mqiriN2FLWuq7x8804I9IBxVpV1B9ma3BSe1jM7VZVR7EYGmXD06j0MXnMaP8w9JCPWlfeo\njDeoiRN61SsO8uLeIrzBZ+/zxHPh3z2jY1WlyVd5Vj4w+SoXx4tiAkyACTCBVCGg+2/VVJmKB2UC\nTIAJMAEmwASYwLdLgGw4/HxuSjsIEnAXLV4ifZtLlHLCo0cqb9CHDx+ilFNZ1K5bD2fPnUfhQoWl\nELp0iW7LC7LS0FX0jT6jiOCYJXt2lbCkiN2az589eyZvjYyMYGBgoHWY5zKXkdMlSqj8nvXZr+bY\nyjVFTGbNmjXBQxHdlX5JOZOVhyJOa/anDw6oXLt2XZ5z586NmjVd1OK0rBRfrKysUK5cWQQGBuLl\ny5dKNZ+ZwFdJIF+uHHCf2hor+taRdh5X7oTIBH7Oo7di/kFvuWYSV2uM3yGTHZI9hG1uY3SvXQxz\nulXXuSeKwtZZ9IyAzWOq+u0QzTGUMUmAjVlCRQQ1FSMh7GYWEcSah1n2LGhdyQ4kcFPRZ7+yYYwv\n8meQiBinqPH4DrLd0FVWnbgJWmeEiHzuv+KU+iDBnfhS3V//esmueUyy4oUQokN0JC6kMcyEjzTN\nQ37aJE5XdbSS74OirmltTcvb4oeqRaR1C0WOU/nw4T8ZfS5vxBfypnYplg/zurvICOqDIkElFybA\nBJgAE2ACXxuBOP6P4mtbJq+HCTABJsAEmAATYAJpl0B0dLQUMG1tbTF50kR5kCg97bfp0iZi3vwF\n0mZi+ozfcf36dek/TT7UStm371/lMkXPFKGt2I0oA98R/tJmZmawsIjtU1q4cCHZzMHBHuvWrla6\nyDPZmJBdBonv+u5Xa4CPN8RlytRpuh5p1fXo3h0kMCe1BAcH48IFDxkVTYkSNUtAoCpi3dJS5W9L\nCSXJbqBhw+80m8m6wMA7oMh32jcXJvA1E4h8FS0TFDYrXwh0kJBJifN6LTmGqTsu4qc6xfH3fi/c\nehCG8a2d0b+RyjKI9kSWFalRAp9Eqv2wlfHvPo0SlhaGMDdWWR8p9XQmwZxK4TwmWNSrlrxWvpBX\nM1ldqO1I9Niv0lYZg86Pw19i9l5PzSqd152qF9Hp50zrJquTgMfavwkS/e69tNq4FvwMZI1ChSLI\n3cU7CBIR6rlzfhLrKUI86GkEKPEklev3QuW5WpG88qz5hWxR/jlyDeEvouU7tem3GsXym+HI2Oaa\nzaRdCon41+89++ptPvT9kFVrg3zDBJgAE2ACaZoAC9Rp+vXx4pkAE2ACTIAJMIG0QODYseNo3LQZ\n1qxeic6dOsklU/Qt+UeTj3FYWJisCxCRuFS6de0iz8qXvakkUP/77wG0bdNGmUZGch84cFDaXKgr\nNS7s7e2lcE2C7du3b2UEtfKYxHXyYz514jiioqL02q/SV/P8/PlzLFu+QrNK5zVFNCdHoCY/7bbt\nO0hrjsWLFmrNsXnLVnlfo7oqanTRkiXYs2cv7t4JQL58n+xTzokodxK6YwrXWoPxDRP4Sgi0+fOg\niOx9DY/p7eSKKBFftaJ5Ub+UDTac8ZXiLgmlVNpXdZBn5cvhVBKoj3jfRfMKqg++aC4Sh8m2wlkk\nAdRVClnmhHmOLDh27V4skfUvIa7P2HUZe0c2kfYl+uxXl0Ad8TIa60776Jpeq46imXUlHOxVt4RI\naBg7gWvdybvw6u07HJ/QUj1Oq4p20nJlg5uvtFZRHuz2CJRR0Q3LqD48c/yY+HDPpUCMEAkhNcvu\ni6oP1EiUpndaNJ8pvIOegfy6KVmkUq7efQavoKcokT/XV+9BzRYfylvjMxNgAkzg2yHAAvW38655\np0yACTABJsAEmMAXIlCtWlWQTcTkKdOQP19+EbVcBpR4b9r06XJFTRo3lufy5cph//4DGD1mrBCv\nhwjB+LFISrgJ23fskM+pDwm4pqamKbKTNWvXgmw+2rZpLUTy5xgybLiIwPuAP/+YpXN88n2e/ttU\n9OrdB527dMPIEcNAiR13C/F26rTfQEkWaa8kUOuzX12TkAf1m1e6PVl1tU9qXenSpaXf99Jly2Bu\nnkv4SbeUe1+3fr1MEtmqVUtUrOgsh+/100/YvXsP6n/XCNOnTZVJEinh5NDhI4QglBG/iSSLXJjA\n106AvKanbL8ooqU9QP7MWQwyg5LobTvvD6eCFjKC18nWHEeuBss2v3xXGk8iXkq/6r2X7sjtUVK/\ncOFhbJLtk/CZnH1vdvdHHpNs+F6I1DTuuM3nZZTxlPaVdA5Lns1jW1fA4NVu6LvshIzyNhaJHQ96\nBuFP4a9cs7g1KtnnkX312a+uSRzymuLB4u66HqV4HYncdKwVgrilsPtoUNoGnkEhmLDlAqoIj/Af\nqqkS5pJtSS0RKX3ixn20m3MQbSvbo4BIeLj/cpD0FScBu3HZgnJ9/Rs5SX/u1rMPYPj3ZWWSRlch\n+m856yefj2qhLXCn+KZ4QCbABJgAE2ACSSDAAnUSoHEXJsAEmAATYAJMgAkkhoCxsTHWr12Dbt17\noE69+uqu5OU8dcpkNGmiEqhHjhgOtzNnsGr1anmQF2r9+vVw8/pVtGrTFrP+mC0FYfJ3TokyWwjR\nv89UHTQerZOiiZ2cnOIc/qcePYRdySuMGDkKW7dtk+0yi8RoP/XoLm1KaM367jfOST7DA1rnrh3b\n0bP3z5jx+0x5KNP2+bk3iI1SGjduhBXLl2LkqDFo2fpTxHmBAgVwzPUIypQpozTlMxP4agn0rV8K\nN+6FCRsPb3koC3UqaI7FvWvJ2/4NnXDO7zE2nvGTh/hjIoVR9ylt8ONCV+FVfRUkCA9pmjLf85Pb\nVcK8g16Ye8Bbzk9JGmd3rSYsMsyV5cU6d67hKKKL32HSVg/svqj6rZPMmTKgU3VH/NqygrSyoE76\n7DfW4J+5gn4Ore9fH53mHpEJDCmJIZWyhSywXHiFG3xMxEiR0Ut618aoje5SkD5+/b56pSRk/929\nhjpZJUWkPxQC/5TtHui6wFXdzkJYj8zv4YKGZVRCtvoBXzABJsAEmAAT+AoIZBB+ev99BevgJTAB\nJsAEmAATYAJM4KshEBAQADs7O3icP5csG4mYG6JEet7eV3E3+C4szC1Egr4SUHyONdt6eXkhJOQp\nKlQorxUtfePGDZBfMnkeJ6fMX7AQAwYOwtkzbjJK2NvbW0ZQU2S3iYmJXkOT3/SVK54yWrpUqZIg\nsTZm0Xe/Mft97vsg4bvt4+MrWRcrVlQK7LrW8OrVK5k4kexBihRxQMGCBWUEta62n6PO1fUoGjRs\nJC1iUiqq/nOsO73Nofy8cBWev7osH762/d4JiYD/o3C8jn4Pm9w5UEqIwSSUahbySX4W+RplbC20\noqV9hD81JR8kITk5ZdnRGxi98SwOjmmGcoVyS49l8lAuZWOOnNkM9Ro66nU0vIVtxYvX71Bc2FvQ\nunQVffarq9/nrqMEimTDQdHsFE0dV3kQ+kL6hL8WdiEOVqbSxzrm+6O+5DnuI5IrUhS8jYWxbEdR\n82mhDF3jhvuZreF69FhaWC6vkQkwASbABJJPYEna+Bsq+RvlEZgAE2ACTIAJMAEm8MUJUCK9ypUr\nySO+xcQVwVy8ePH4uiXpGQkbcc0X34AUJe3iUiO+JjJxoD77jXeQz/CQhGY6EipZs2aVSRUTasfP\nmcDXTMA2d06RbDBnvEuMK4LZUVhNpHShn0FxzRffXDlEJHdVHUkDY/bRZ78x+3yJeyvTbNKOI6G5\nrXNlBx0JFeOshlq+1gm1/5qecwjd1/Q2eC1MgAkwgc9DIOPnmYZnYQJMgAkwASbABJgAE2ACTIAJ\nMAEmwASYABNgAkyACTABJqBNgAVqbR58xwSYABNgAkyACTCBdE8gRw4RgWdtDUPD5P2afroHxRtk\nAkwgVQhkz5JZRgsrHsupMgkPygSYABNgAkyACaQZAmzxkWZeFS+UCTABJsAEmAAT+FYIPHz4EPsP\nHECN6tWF13GRFN/2j926gY6ULrdu3cL2HTvVw/7cuxcsLCzU94m5ePfuHd6+fQuy1fiay4sXL5Ap\nUyZkyZJFr2WSd3d0dDTMzVVJ4F6/fo3Zf85R9/2uQQPpPa6u4AsmkMoEyPvY9WowKotke/ZW+nnQ\nJ3dJP1QrAjqSW9acvIWnwiubSpG8pmha3lZeK1/evf8g/LWBTBkTjst68/Y9jAwyKV1T5Pzhw3/C\np17b3ztFBk7BQeLa9/Hr93Al8KmcKYthJvRrUCoFZ+WhmAATYAJMgAloE2CBWpsH3zEBJsAEmAAT\nYAJM4IsToIR9vXr3wdIli1JFoE6tDV69dg3jxk9Avnz5pGDbvl1beHl5Y8CgwfFOWb5cOaxZvVK2\nOXz4CEaN+VUkI7wGEqnJG3rokMHo17ePOiFhqzZtZVLD+AZdsWwpKlWqGF8TrWeJHXPPnr0Y/etY\n3Lx5UyaYK1SoEKb/NhVt27TRGlfz5tmzZyhdppxMRHnjmrd89ObNG6xavUaK8Xfv3kXOnDlZoNaE\nxtepTuC2SJg4eLUb5nSr/tkE6pTa1GLX6wh+FimjseuWLKAWqLed88fyYzdl0sF3Hz5Iz+1edYuj\ne61iWoJxWNQbjNrojvN+j3FfJB80EQkaXYpZY0zL8oKFqVxmtwWuMqlkfGue270Gyhe2lE0oAeWK\n4zdw4MpdRIhEhZXs86BPgxJi3HzxDaHz2amb9zF6wzmdz5RKSqq4sGdN5VZ93nrWH/2Wn4T3rA7I\na6btWa3Pvi8FhGDLWT88CX8Ng8wZWKBWk+ULJsAEmAATSA0CLFCnBlUekwkwASbABJgAE2AC3zCB\nbVs2q8Xhu3eDYWCg20qEood9fX3h4GAvaR09egwNGzeBqakpuv/4o+iXGVu3bceAgYMQEhKCSRMn\nyHaZM2eOc8w7d+4gIiJC9k3MK0jMmLt37wEJ2g4ODvh9xnQYGRlh/oKFaN+hI0wPmKJ+/Xo6p/6p\nV29QdLyJyacoVbr287mJwMBA2Dk46uzHlUyACcRNoEoRK2we1FDdYLO7H35ZcUqK7b3rlcDrt++w\n99IdjNpwFs9fvsHQpmVl26jX0Wg1ez+u3wtFq4p2cMhrAnefR/j3chAu+D/G8QktkTtnVmTOlBEG\n4tBV7gpxPPLVW9mGnr+KfofO847g0fMXaF3JDmY5jLBPzN1p7hFsHvydXkkdNefJgAxxzv1aRHzf\nfhyOwnliJ7yMFML4/EOqD8E0x6Nrffc9rFlZ0PE/IXIf9r4bcxi+ZwJMgAkwASaQogRYoE5RnDwY\nE2ACTIAJMAEmwASYgCaBOnVqw/PyRc0q9XX/AQOlmLxo4QJZN2XaNHn2OH8WdnZ28nr6b9OQ38ZW\n2mCMHzdW2mls2bRRPYbmBYm8TmXLY+KE8SgnorITU/Qdk2xHBg4eIiO73U6dUFuYtG7VEgUL2eHv\nefN0CtT/LFqMgwcPwczMLDHL4rZMgAkkksDCw1dhJ0Tbw79+D+OshrL3gEalUW7kFqwQUdWKQH3y\nxgNcCw7FrM5V8aOIrKYytCmEkO0uo6/3C6G6W62iWN6njnwW80tQSCRqTtyJEd+XA0UxU/lt50Up\nGm8c2AD1ShWQdb3rlhTtdqC/EM0vzWgv6/T9UkNEc5+Y2FJnc1onic1/dKmmfr7m1C0c8Q7G6ZsP\n8eLNW3W95oW++9bsw9dMgAkwASbABFKbgO6PglN7Vh6fCTABJsAEmAATYALpiAAJrTVq1pLRsTG3\n1fvnvmjQsJH0HaZnJ06cxP9+6Y8iRYujQMFC+KFjZyxavATv37+P2VV9T31ofIow1ixPnjyR9UuW\nLtOsxvPnz9Hvf7+gZOkysLLOL6N99+8/oNXmS9+QWLvwn0VYt2Y1rKys5HKCg+9JexBFnKZKY2Nj\nVKzoLC0wKOI6rvJB/Bp/l24/onz5chj765i4miWqXteYbm5nQFYcAwf0V4vTNCjZmuzcvg29e/aM\nNcf169cxdNhwGW2dN2/eWM+5ggkkhgAJk01n7BNRui9jdRsirDra/HkA0e9UP0/O3HqIEevcUWnM\nVpQevhG9Fx/HqhM38V78eYmv9Ft2En2WnojV5O/9XnJu8nZWSriISh6+7gyqj9+O4kPWgywxSCT9\nEiXiZTRu3g8D2X0o4jStw8o0O2oUy4uwF2/w9p1q7WTrQaWFc2F5Vr60rWwvL59EvFKqYp3JW7rf\n8hNwsjUXonYZ9fONZ/xQPL+ZWpymB5YmWVGnZH7cfRqFSwFP1G2Tc3H06j1hI3IT//SshTwm2dRD\nBTyOQPiLaJS2MYeFsW5f/OTsWz0RXzABJsAEmAATSGECLFCnMFAejgkwASbABJgAE/j2CNjb2+PM\nGXfs2LlLa/MPHjzA8hUrkMssFwwNDXH8+AnUa/AdNm3egu8a1EfPn3og+F6wFJNHC9/luErI0xA5\n/tNnqoRVSjvyL6Z5g4KClCrcu3cPZcs7Y83adXCpUV1YZXTDnTtBaNa8Bf76e6663Ze8IC/mHj17\noUP79qAIa6W0bNEc9+/fx4EDB5Uq4TXtI7nVrl0L2bNr+6iqG4mLGb/PxPnzF7Bg3ly1V7Xm86Rc\n6xrTz99fDtX8+2agBImnT7vJyOhHjx6hWbOm+F7UaxYS1X/o1AU1xLsY0P8XzUd8zQSSRKCQZU6c\nFxYU/16+o9WfbCXWufnALLsRDDNngtutB8LC4gB2etxG7ZL50LmGI+6HRQkx2R1Ttuv+rQZlQK+g\np6AjZiEBlOb+7z/VkwfCt7n2pF3Y4u4PstqgxIfBQojtNO8wFh25FrN7qt9nypQBe0c0RX8RMa1Z\nSLi+HhyG2iXyCT9l1T+BicehMd/DVPDSLGd9H8nbBqULaFZrXf99wEuIzSGY2amq2tP6mUjWGC7m\nqanDa9ouj8rWx/NObKZaA+txExr1GgNXnULLioWF6G6t1WNi24rYM7KJPGoWz6f1TLlJzr6VMfjM\nBJgAE2ACTCClCbDFR0oT5fGYABNgAkyACTCBb45Axx86YNjwEdi2fTv+16+vev9btm4TQs5/UiSm\nyo2bNoO8jm/7+UifZaobOWI4Ctk5YO++fzHz9xlUlawyavSvUrA+e8ZN7QNN3s3k7Txy1Gh07dIZ\nuXLl0jnH9u07cP3GDZ3PlEoLCwuZsFC5T8r5f78MkFHelFRQs/T/5X84euw4mjT7HlWrVpGJFknU\nt7a2xrQpUzSbal1fvXoVEydNRu9ePVG8eHGtZ0m9iWtMPz8/aTPi7X0VHTt3wcuXqijWTJkyyXf/\nx6yZ8h0r8w4fMRL0QcWhA//KZIpKPZ+ZQFIJkLfxhC0XsOdSIH6q8+n7fZdHoBSOSSSmsuN8gPBG\nzoCL09uJ5H8qEZasLsoLq4tDXndBYmZyy+TtHiJJYRQOjmmmThI4snk5tJtzCJO3eaB9FQfpw6xr\nnr1i/bfuP9f1SF1nbmyEHrU/7VH9II6L7EYGqOSQR/2URPJ7Yn0U0f3hvw8Y2NhJ/ayItSoJIlVc\nvP1ECPoP4X33KfYJ4Z+iqJ1sVbYd6g4fL24Iz+qZey6jq0tROFp/suyh5IhU8phm/djy08nOSiVQ\nP42MOyr7U+v4r0aud5dC+LhWzvE3jONpUvcdx3BczQSYABNgAkwgRQiwQJ0iGHkQJsAEmAATYAJM\nID0RyJJF9avR8VlKaO43d+7caNSoIchGg2w3LC0t5eNNmzdLcVVJmjdk8ED0/6WfWpymRtHR0dKX\nODxcJW5ojpvY69DQUGzYuBEVKpRXi9M0BkVvk3hLViE7du4Ukds/6RyaBPWt27bpfKZUFilSJFkC\nNdldbNm6FWNGj4KNjY0yrDxTcsSCBW3g5eUFD4+LMhEiCfwk6kdGRmq11byZOm06smXLpk6iqPks\nqddxjalEUHfo2Akdf/gBnTt1xLt37zBj5kzMnTdfvssJ48fJafeJDx0WLPwH27duQWpYeyjfn8r3\na1L3yv2SR0DhT0nrPkexMM6KuqXyw9X7HkKEDQUl8qOy80KAsLLIhlofI2f7NiiJnnWLq8VpakP2\nFibZDRHxUrc/MbXRt4RFvcH287dRRgi55QurfuZRX4re7lrTEWd8Hkqxt4uL7uSfu4WgvvtiYLzT\nUeRxYgTqmIORJ/SraNV7cRSCdFZD3f/8JXF6+q5LQsT+T3yQBNhY5JCslGhrzXH/3OcpxyEhXrME\nPomQtzEjsqnSxjyHfEYR1skpt4R9CX0QMbiJE/J/HDM54yVm38mZJ7F93wiLmiwfv68T25fbMwEm\nwASYQNokoPtv6LS5F141E2ACTIAJMAEmwARShAAlshMaBZ4+1f/Xsbt16QISJHfu2o2fe/cSthp3\ncOGCB0aNHKG2nChatCjI3mL2n3Nw9tw5ab1BEbkkvqaEgOnj4yv3HxX1Au07dNRiERGpEk9u3w7Q\nqte8WbtmFVatXK5ZFes6A6k3ySgzZ82WgvmQwYNijVKjZm1cu3YNC+bPE/Yf7WQENdl99Pq5j4yq\nvn7VC7a2tlr9/IXlBkWu03gU3Z0SJb4x6UMA8gtv07o1li1drJ6ucuVKsLC0wt9z54EE6ocPH6L7\nTz3xU48eaNmyhbpdSl6Q9QuJo4pAmpJj81j6E1ASXz6LSn50rL6zdqjqgMNewVAS+d19GonLgSEi\nQri02nLCIa8pyA5i4aGr8BARwsHPIkUCvwiRWO+tlm+xvnPGbOf/WBX9TMn4ei46pvU4UiTvo3In\nRPVzR+vhx5uFPWtiXg8XXY/Udcn8cYO7C3+USQvJd3najotoMG03PGd2iLX/QULw7VWvuPSI3nLW\nH7OFCP1ceGvP6FhVvRa6IIsTilzvW78UzGN4PBsaqKxDnguf65jl5Zt3ssr0YyR7zOf63s876C0+\nAMgo59e3T3zt9N13fGOkxrNnUdHI55AyP89TY308JhNgAkyACaQ8AfagTnmmPCITYAJMgAkwASaQ\nxglkzZpVRPIWxDUR7atvadq0iYyMJrGUyuYtW+X5x25d5Zm+zPpjNvLb2GLK1Gky6V+9unWwasVy\naWehbpSICxJLNQuJ31SMjIxk9LGBgYH6bJ7LXEb8ligR96/LU6Q17T2+IzliKCUXpAjvFs2bx7IZ\nuXnzphSna9Z0Qd8+P8tIZFpHq1YtQQxfvXoVy+Ob9jrrjz+ljcpPPbrTbYqU+MbMZ63yddV8rzRp\njhw5QD7ZlKDy8ePH+GfRYvlhRHhEOLr36Kk+yGObLD+obvqM35O13mvXrqeYpUmyFvKNd6bvU1ub\nAgnaVaQkpgalbURktKEUS2ncXR6qD546VFXZe1DdfCFmlh62CX/su4K3Iqmhi/BGni8E4Yr2n6Kd\nqV1iCiUZVEqoiKCmYiQipjNnyqh1mGXPArIiKaphgaH0U84UaU0RzfEdWQwSF09Fv3FBCQw1C0Vh\nd6xeBONaO+Pd+//gejVYPqZ21F4pZA9CjOZ1d5ER1Ac97yqP1OcFh7yljUrnGp84Kw/z5MwmL++E\nxP5tj9AXqgSvMUVtpa8+Z7IqoYj1xmULxmmbos84Sdm3PuOmZJtbD5+jWLFiKTkkj8UEmAATYAJf\nOYHE/Y3/lW+Gl8cEmAATYAJMgAkwgZQiULVaNRw7fhy/jhmt15AkCrdv1xbLlq+QwiQlQqxSpTLI\nEoNKSEgIRo0eA7ID8fO5CWNjY/W406bH7z2dQcZzQwgvH9R96MLHVxUxrYgshQsXks8dHOyxbu1q\nrbYU9UuR2mSFEVdZsXIlLl26HNdjWW9lZYVxY+NO6Bhf5yVLl8noY11isrfwkaZS0yV2RGX9evUw\n56+/ERYWpjU8JSlcvWaN5EzR6SlREhqTLEiokK1HzEIiOkWY07ul9+zk5AQ/P1VSRaUtJbak9+gp\nbEwyZkxerMhxYdlSTXyfcvnyBKqI9+Dm6YYhTT/PWowMMqGFc2GsO+0jo6TJ3sPZzhL2Gl7H5A9t\nIaJ8L/zWFjmyGKoXNudfT/V1XBcUufxfDKGX2ipR00LahW1u1c+wwkIAXtSrltZQ78X3OEVqx2Wp\nQY3Xi4SOXndUH6ppdda4sTTJimHNymrUxH/5935vTBO2HhsGNED9GEkOcwk/ayr3RWJHEmlt+q1G\nsfxmODK2udag9GeYBPbr955p2XxQpPgmdz/JmaLTYxY7q5yyKkiHQE2+1VTKF84tz0n5subULbwX\n6+5U3TEp3WWfpOw7yZMlsSNFqd9/GiF+rldJ4gjcjQkwASbABNIiARao0+Jb4zUzASbABJgAE2AC\nqU6gadOm6Nq1q5andEKTdhPtFy9Zit9nzpI+yksW/6PuEhR0V0brtRJ2D5ridHBwMDw9PZEnz6fE\nXupOHy9sbW3lla+vn9aj3bv3at3b29tLm4tDhw7LCG2KoFYKReuOnzARp04cR/XqukXNo0ePS7sM\npY+uMwnuSRWoDx85IiOj64rI8Zil+MdouW0iUePECeO1HpM3NpVSpUpq1Z88eUp6eLdr21arPjk3\nCY3ZpHFjzJz1h4gE34QmTRqrp6LodTe3M1KUpg8BKOEjHTFLeedKMhr8yiWPmI8SdX/79m35fTNj\nRvwfbiRqUG6cZALNRGLPruK3JjQ9oZM8mJ4dyeZj9clbmHvAG9eCQ/Fn1+rqnhRtS8HBTcrZaonT\n90OjcPVuqNq3Wt0hxoWNuTFO3LivJdCS/7His0zNC1nmhHmOLDh27Z5WO3r2134vzNh1GXtHNkFl\nByuqilVO3XyAvRfvxKrXrKDo58QI1CQ4Uzkp1h5ToF57ykc+K1kg1//ZOwu4qLYuii/FQgULRRQF\nASXsVizsFrvF7vrsenY9u/DZXdj17EaxW1QUEEVRUSxEQazv7MObcYacoWOf9xtn7r0n/3eYN7Pu\nvmtLGxSrvFlx99k7kJd2tswh4jVVuOf9Dnee+aGwcXaoelBffPQawcLD275syIVA2ZnKP7mzZoJt\nody49Pi15ER8qJDvN0U+kz94cZPo21acue+DrMI/vKp1HpVRtXuZOnUqaLtu7UaIeW1Knpktaxa+\n+BZzlNwDE2ACTCBJEWCBOkmdLp4sE2ACTIAJMAEmEF8EmjVrBj1h27Bq9RqNo6jJh5hE4vkLFkqb\nDFXh1NKyEDJlyiStP+rXqwcrK5FE7OJFjJ8wCfr6+ggICMCjR49gaRk2Oq5YsaLStoP8jS0szJEr\nZy7hdb0PJPiqFrLomDljGnr26oOOnTpj1Mjhsu/9Bw5i2vQZqFWrpvjRr+6pqtp+y+aNoEdcFIp+\npujsxo0bhRs5XLhwYVAyyRMnTqJeg4Yy+aCpialc5zYnJ2llQdYgquXkqVNys1rVKqq71V5T5PWI\nkaMwYfxf8qF2MJyNqPqsUqUyGjSoLxM9UqR6U/sm+PTJH5OmTJGR0bNmzgin19jf9c+y5chnbCzO\naa3Y75x71JoAfV5kzpwJJIIObVRC6/bRaVBGREybCRF02XFXEalMEdV/hFOKpM6UPo20/qhVJB8s\njLLgqoevTASop5sWFA3s8fqjiLgOGwlMcyklIn1PCCuMAevOwaGKFZ6IBIBLjt6Bvm46EbEdYu1B\nFh1/tSiDIRsuoO/qsxhYvxj0RKT20dvPQIkEq9nkQXmLiC+8rehZHSt6RmflEbepXTQfrPNmw6pT\nD6AvLFBqFDbGq49fcEAkYzx2xxslCxiA7FGoDKxfXHpnt5h3BCOalJQC8sl7L7DjUsiFwNFN1ZMg\nOj/0ke1sCxnJ5/D+IU/ndouOy36HNCwhBWW6gEC2HxTVrerhbzZwI74E/YDvqm7hdaW2j3ytSTSv\nWzy/0mNcrYIWG9quW4uuY1yVIu83XnCHQ+cuMjlujDvkDpgAE2ACTCDJEGCBOsmcKp4oE2ACTIAJ\nMAEmEJ8EyGu5/4ABUmwe0L8fsmTJotHwDp06ykjl5kKwIuFZUShqeu2aVejWvSfsmzWXuym52oL5\nc5EpYyZ07toNRYqVwPdvYROtkfC8c7sT2rbvgE4OXaTAS37H+/bsRpVqdooh5DMl5fv6NRAjR43G\nzl0hkcdp0qQRyfq6Yvq0qWoCiVrDON44c+asjCCvWKFCuCOR3cW2LZsxcND/QIL08eN/xHcShdeu\nXiWTK6o2PnnqtLQsKVq0qOputddkp0EPhQ2K2sFwNjTpc+vmTeK9MQhTpk6TD+qG3h87nLZJkT2c\nbmN11+vXr7FixUrhZT4NOjo6sdo3dxY9AvR5MWDgIDgunIceNWykOBq9nrRr1drWQkYqU6S0nhCP\nFYUsPRYJL+XB65zR0THkb4mib6e1qYCMQrgesMYZlSfsweuV4Yuj/eoUxXWRWHHPlSfyQdG/rSta\nyO5JcFWUjlUsERj8A5N3XsN+IQJTSaOTStpQjGtWJt4/byhCeOOAWui76hzmHLglH4q5Nixlgpnt\nKkqvbNpnX6YAXrUpj6nCCsVh6UlFNWmLQl7d9UqYKPfRi3MPXiKj8My2+S9KW+3gfxvVhSBOyR+H\nrL+ArstCLqCRqD9VjFNLiOeqhew2fql4YKseC/36gtsrGRFPNi4xLdquO6bjadN+m4s7Xooo/0GD\nBmnTjOsyASbABJhAMiCQSnxZ/5MZIhksiJfABJgAE2ACTIAJMIHYIvDp0ydYmJujVauWWOq4JFa6\nJSuIW7duw8got4wKVkTU0X6KMqYI7IgK+R5TMkHygSaP48gK+U3TOBSZTdYY+fKpiyORtY3uMRLE\n27Rtj0suF1C+fLnodoMXL17g/v0H0gqDIs0pqlzBKTqdTp8xE+TP3a5t2+g0j7ANCcV37txFrlw5\n5bkkH/LoFi8vL5gXtMSihQvCtQZR7bd9h04y+v6x8CCPSdJK1T75dcwJ0OeFuXifNSmeG7M7RHyn\nQsxH0ryH9wFB0rLCMEtGWObJqvw7ov0fvwTDzPDPRbTwevX7HIhXH76CbDEi+xsMCArGXWGNQRHB\nJODmzZ45vO5ifV+l8bthnEPcmfK/emp9k/j7zO8z3EWUuK5ItEgR5UbZMqnVUWx8DgzGo5cf8cb/\nq0iOqCfrapucUdGX4vmHSEp5+6mfFKDJd1onHL95mqPd5L1wnhxywVLRNr6eNV13/zXncPyuN9wX\ndYrTqZHViu3EvWjToTMcly6N07G4cybABJgAE0h0BFZyBHWiOyc8ISbABJgAE2ACTCCxEKCo2IWL\nFqFTx45o0rgx6tatE+Op5ciRQ1pthO6I9tMjskKR0JFFC6u2pYjtqpFYX6jWTWyvjYV1BT1io3h4\neGDtuvU4e/pPhGRs9Et90IUCesRn2bFzJ5y2b8ehQ4dYnI5P8BqMRZ8XZMPTUXxe1BNWDDWKxM57\nWIOhI6ySXXhEV7PJG+Y47adHVMVAT1dEFOtGVU36XEdmfRFlB7FcgSKpyQNa4QMdWfcUeU52KbFZ\n0uikjrJPSmIZkT93bM4lor7iYt0RjaXJ/mGbXZBWNzOmz4gfmyRN5sR1mAATYAJMIP4IpI6/oXgk\nJsAEmAATYAJMgAkkPQIdOnRAe/Ho0MkB7u4h3qRJbxXxO+Oxf/2F1m3byUjo+B057Gienk9wcP/e\neIkgDzt61Hsowp1YDRg0OMrKd+7cQfcevTBw4EDhg/0nQWOUDblCvBGgz4uOHdqjj7DQ8PT9FG/j\npuSBXEXSx+7LT0sv7qTEIY+I6J7ZPnzLo8Swjq0XHkuulBwyrssikVTz0M1nMvmspnZacT0n7p8J\nMAEmwATilwAL1PHLm0djAkyACTABJsAEkiCBlStXomDBgqhbrwGePXuWBFcQP1M2zmuM5s2bgby1\nyfc5MRSKerexsUkMU4lwDsRKV1dXsiNLmfCKm5sb6tZviArCw3vevHnhVeF9iYTAipWrUNCqMFot\nPIHn7z4nklklz2lUL5wX5UQiRrLLoP+SUulVq3C41h+JZQ3Ek7iWMDUQdwSo+3HH5hw3nnPDtD3X\nsUjcrWRnZxebXXNfTIAJMAEmkIQIsAd1EjpZPFUmwASYABNgAkwg4QiQR3TNmjXx9u1bHDq4H8WL\nF0+4yfDIKYrAxYuXZGJN8uI+duwYMmeOH3/fFAU5lhdLnxc1RCLTtz4iKnRgTeHhHLl9TywPz90x\ngSRBYP6/tzFz3w1MnToVf4k7b7gwASbABJhAiiWwkiOoU+y554UzASbABJgAE2ACERHw8xPJrUJF\nAJM/9Llz52BlZQXbSlWwctXqiJrzfiYQKwToPTh/wULY1aiJSpUq4cSJEyxOxwrZuO+EPi+cz1+A\nVbFSqD/zEChKlHPTxz13HiFpEKDkm52XnsLsg7exVCREZHE6aZw3niUTYAJMIC4JsEAdl3S5bybA\nBJgAE2ACTCBJESD7jkGDBiF//vzYs2dPmLmTN+bx48fxvyFD0L//ACkcXr16LUw93sEEYkrA2fk8\nKlaqjLFjx2HKlCnYt28fMmbMGNNuuX08EqDPixMnT2HIsOEYseUSms49iptP3sbjDHgoJpC4CAT/\n+Ik1px/AdsJe3HsbjDNnzqBfv36Ja5I8GybABJgAE0gQAixQJwh2HpQJMAEmwASYABNITATu378P\nBwcHWFhYYP/+/Zg1a1aESeh0dHQwY8YMXL5yBT9//kIF20qoXrMWNm7aBIq85sIEokvA19cXq9es\nkcI0RU1nyZIVN2/dwpgxY5AqVarodsvtEpCA4vPiivi8QPb8qDvjAOznHsH2i+549zkoAWfGQzOB\n+CPg+vwd/hZWHqXH7MaEXdfRtWdfPHj4CFWqVIm/SfBITIAJMAEmkKgJsAd1oj49PDkmwASYABNg\nAkwgLglcvHgRf//9N/79919YW1tj1KhRaN++PdKkSaPxsGS78M8/XKO6rwAAQABJREFU/+DQoUP4\n/v07ChQoADOzAkJczILUqTkWQGOQKbTiz58/8enTJ3h4eMLb2xvp06eHvb09BgwYwOJNMnxP0OfF\nUkdHHD5yWHxe/ICJYTaYGGSGfgYdpOaLEMnwjCeNJQUG/4BuOs3/v6fJqr79+IX3X4Lx+OUHfPoS\nBCPDXOjSrbuMmDY2NtakC67DBJgAE2ACKYfAShaoU87J5pUyASbABJgAE2AC/xE4cuSIFKadnZ1R\nsWJFjB49Go0bN45RlGpAQADOnj2L27dvS6HR398/jI91Sj4Bnz9/xo0bN1C+fHno6uqmZBRqa6cI\nW319fZiamqJkyZKoWrUqW3moEUqeG/x5kTDnlSLZjYyMpI1Twswg8Y1KCT3JaqNQoUKwsbHR6gJt\nZKuhi23ZsmWTeRsqVKggP9/4TpDIiPExJsAEmECKJsACdYo+/bx4JsAEmAATYAIpiABFqu7YsUPa\nd9y5cwf16tWTwnS1atVSEIWEWyqJ02XKlIGnp6eIMDdLuInwyEyACaRYAvTZ07t3b3m3TIqFEGrh\nlIx1xYoVwu9+rLzzh5IWNmzYMFQt3mQCTIAJMAEmEKcEVvJ9p3HKlztnAkyACTABJsAEEppAUFAQ\nli9fLqPDOnXqJK08bglfX4qiZnE6oc8Oj88EmAATYAIJSYCsqPr27YuHDx/KO4oaNWqEli1bwsfH\nJyGnxWMzASbABJhACiPAAnUKO+G8XCbABJgAE2ACKYUA+fqSvzRZJ/zvf/9D7dq18ejRI2zbtg0l\nSpRIKRh4nUyACTABJsAEoiSQO3du+f/HY8eOSasqysuwePFikQz4Z5RtuQITYAJMgAkwgZgSYIE6\npgS5PRNgAkyACTABJpCoCPj6+mLMmDHSY3TmzJno0qULnj59KqOozc3NE9VceTJMgAkwASbABBIT\ngTp16sDV1RWDBg3CiBEjZN4AsmjiwgSYABNgAkwgLgmwQB2XdLlvJsAEmAATYAJMIN4IPHnyRN6m\nTBHT69atkyK1t7e3jKKmyDAuTIAJMAEmwASYQNQEMmTIgGnTpslI6kyZMqFcuXIYPHgwKNktFybA\nBJgAE2ACcUGABeq4oMp9MgEmwASYABNgAvFGgBIetmvXTnpMHz9+HPPnz5cR06NHj5YJn+JtIjwQ\nE2ACTIAJMIFkRIBsPs6ePYvVq1djy5YtMofD7t27k9EKeSlMgAkwASaQWAiwQJ1YzgTPgwkwASbA\nBJgAE9CKgLOzM+rXry/9pCm506ZNm/D48WMZRU3RX1yYABNgAkyACTCBmBFIlSoVunbtCjc3N5nL\ngRIoUiJFss7iwgSYABNgAkwgtgiwQB1bJLkfJsAEmAATYAJMIM4J/P79GwcOHICtrS2qVauGL1++\n4PDhw/I2ZIqi1tHRifM58ABMgAkwASbABFIaAQMDA2mfRRHVZKlVuHBhzJ49Gz9+/EhpKHi9TIAJ\nMAEmEAcEWKCOA6jcJRNgAkyACTABJhC7BOgH8MaNG1G0aFE0bdoU9EPZxcUFiijq2B2Ne2MCTIAJ\nMAEmwATCI0AXh2/fvi3zPEycOBGlSpXCxYsXw6vK+5gAE2ACTIAJaEyABWqNUXFFJsAEmAATYAJM\nIL4JfP36FUuWLIG5uTm6d+8ufwjfu3dPGUUd3/Ph8ZgAE2ACTIAJpHQC6dKlw19//QVXV1cYGRmh\ncuXK6N27Nz58+JDS0fD6mQATYAJMIJoEWKCOJjhuxgSYABNgAkyACcQdAfqRO3XqVJiYmGDUqFFo\n0qQJPDw8ZBQ13VbMhQkwASbABJgAE0hYAnTx+NixYzKB4v79+2FlZSVfJ+yseHQmwASYABNIigRY\noE6KZ43nzASYABNgAkwgmRLw8fHBsGHDkD9/fixYsAB9+vTBs2fPZBQ1idVcmAATYAJMgAkwgcRF\ngHJAUBLF5s2bw8HBAbVq1YK7u3vimiTPhgkwASbABBI1ARaoE/Xp4ckxASbABJgAE0gZBB4/fowe\nPXrAzMwMTk5OIF9LEqYpijpnzpwpAwKvkgkwASbABJhAEiWQNWtWLFu2TOaH8PPzkzkjpkyZguDg\n4CS6Ip42E2ACTIAJxCcBFqjjkzaPxQSYABNgAkyACagRuH79Olq2bAlra2ucP38eS5cuhZeXF4YP\nHw49PT21urzBBJgAE2ACTIAJJG4CFSpUAP2/fdq0aZg9ezaKFSuGM2fOJO5J8+yYABNgAkwgwQmw\nQJ3gp4AnwASYABNgAkwg5RE4deoUateujbJly+Lp06fYvn07Hj58KKOoKfkSFybABJgAE2ACTCBp\nEkiTJo280PzgwQMUKlQINWrUQOfOnfH27dukuSCeNRNgAkyACcQ5ARao4xwxD8AEmAATYAJMgAkQ\ngV+/fmH37t1SlCZ/Sto+fvy4jLSiKOrUqflrCb9TmAATYAJMgAkkFwKUT+LAgQPYs2cPTp8+LZMo\nrlmzBr9//04uS+R1MAEmwASYQCwR4F+CsQSSu2ECTIAJMAEmwATCJ0D+k2vXroWNjQ1at24tEyBe\nvXoViijq8FvxXibABJgAE2ACTCA5EGjWrJm8S4oSKPbu3RtVq1bF/fv3k8PSeA1MgAkwASYQSwRY\noI4lkNwNE2ACTIAJMAEmoE4gICAA8+fPl4kP+/TpA1tbW9DtvoooavXavMUEmAATYAJMgAkkVwKZ\nM2fGggULcO3aNXz79g0lS5bE2LFjERgYmFyXzOtiAkyACTABLQiwQK0FLK7KBJgAE2ACTIAJRE3A\nz88PEydOhImJCSZMmCCjpp88eSKjqC0tLaPugGswASbABJgAE2ACyZIACdOXL1+WF7ApMXLhwoVx\n9OjRZLlWXhQTYAJMgAloToAFas1ZcU0mwASYABNgAkwgEgLe3t4YPHiwFKbpRye9pn0URW1sbBxJ\nSz7EBJgAE2ACTIAJpBQClHNiwIAB0vajTJkyqF+/Ptq0aYNXr16lFAS8TibABJgAEwhFgAXqUEB4\nkwkwASbABJgAE9COANl2dO7cGebm5ti7dy9mzJghhWmKns6ePbt2nXFtJsAEmAATYAJMIEUQyJMn\nD3bs2IHDhw9L6w8rKyvQBW5KosyFCTABJsAEUhYBFqhT1vnm1TIBJsAEmAATiDUCdItu06ZNUaRI\nEfnDcvXq1fD09JSR0xkzZoy1cbgjJsAEmAATYAJMIPkSoAhqSprYr18/DBkyBBUqVMCtW7eS74J5\nZUyACTABJhCGAAvUYZDwDibABJgAE2ACTCAyAuQVaWdnh4oVK+L169cyapp+WFIUddq0aSNryseY\nABNgAkyACTABJhCGgK6uLmbOnCmF6fTp06Ns2bIYOnQoKOEyFybABJgAE0j+BFigTv7nmFfIBJgA\nE2ACTCDGBH7+/Int27eDkhtRpFOGDBlw5swZmejI3t4eqVKlivEY3AETYAJMgAkwASaQsglQ0kRn\nZ2csX74cGzZsgLW1Nfbt25eyofDqmQATYAIpgAAL1CngJPMSmQATYAJMgAlEl8C3b9+wYsUKWFpa\nokOHDvL55s2bUERRR7dfbscEmAATYAJMgAkwgfAI0EXvHj16wM3NDdWrV0ezZs1AF8Mp8TIXJsAE\nmAATSJ4EWKBOnueVV8UEmAATYAJMIEYE/P39MWvWLJiamkpP6Zo1a8ofik5OTjKKOkadc2MmwASY\nABNgAkyACURBIGfOnNi4cSNOnz4tv4PY2Nhg3rx5+PHjRxQt+TATYAJMgAkkNQIsUCe1M8bzZQJM\ngAkwASYQhwR8fX0xduxY5M+fHzNmzICDgwO8vLxkFLWFhUUcjsxdMwEmwASYABNgAkwgLAGKor57\n9y5GjBiBcePGoUyZMrhy5UrYiryHCTABJsAEkiwBFqiT7KnjiTMBJsAEmAATiD0CT548Qb9+/WTE\n9Jo1azBy5Eh5Ky1FURsZGcXeQNwTE2ACTIAJMAEmwAS0JECJEydOnIh79+7BwMAAtra28nvLp0+f\ntOyJqzMBJsAEmEBiJMACdWI8KzwnJsAEmAATYALxRIAiktq3b49ChQpJX2m6dfbZs2cyijpLlizx\nNAsehgkwASbABJgAE2ACURMoWLAgTp48KRMo7t69G1ZWViD7MS5MgAkwASaQtAmwQJ20zx/Pngkw\nASbABJhAtAicP38eDRs2RPHixXH//n3p8eju7i6jkTJkyBCtPrkRE2ACTIAJMAEmwATig0DHjh2l\nL3Xjxo3lhfa6devC09MzPobmMZgAE2ACTCAOCLBAHQdQuUsmwASYABNgAomRwO/fv3Hw4EFUqlQJ\nVatWBSVC/Pfff3Hnzh35405HRycxTpvnxASYABNgAkyACTCBMASyZcuGlStX4sKFC3j58iWKFCmC\n6dOnIzg4OExd3sEEmAATYAKJmwAL1In7/PDsmAATYAJMgAnEmABlu9+8eTOKFSsGe3t7ZM+eXf6Y\nU0RRx3gA7oAJMAEmwASYABNgAglEgPyob968iUmTJskEzyVKlICzs3MCzYaHZQJMgAkwgegQSBOd\nRtyGCTABJsAEmAATSPwEAgMDQQkP586dCx8fH7Rp0wbbtm2TEUaJf/Y8w6RMgC6KuLm5qS3Bw8ND\nbj969Ahfv35VO1a4cGGkSpVKbR9vMAEmwARiQoCS/4b+rKHI2tevX8PV1VWta2NjY2TNmlVtH28k\nLQJp06bFqFGj5Hed/v37w87ODl26dMGcOXOQI0eOpLUYni0TYAJMIAUSSCVu9/2dAtfNS2YCTIAJ\nMAEmkGwJfPjwAUuXLsXixYsREBCAbt26Yfjw4TA1NU22a+aFJS4Cv379Qt68eaUQFNXMrK2t8eDB\ng6iq8XEmwASYgFYEBg0ahCVLlmjUhgRrulDGJfkQ2LVrFwYPHiztPkikJrGaCxNgAkyACSRaAivZ\n4iPRnhueGBNgAkyACTAB7QiQ/+KIESNgYmKCefPmoVevXnj27BkcHR1ZnNYOJdeOIYHUqVNr5Guu\nqBfD4bg5E2ACTCAMgfbt24fZF94OKysrFqfDA5PE97Vs2RIPHz5Eu3bt0L17dxlRHfrOniS+RJ4+\nE2ACTCBZEWCBOlmdTl4ME2ACTIAJJAcCFH2qTXF3d0fPnj1RoEABbNmyBePHj4e3tzemTZuGnDlz\natMV12UCsUaAxKGfP39G2h+910k84MIEmAATiG0CFSpUkHdyRNZvmjRpOLI2MkBJ/Ji+vr68m+zK\nlSv4/PkzihcvLr8jBQUFJfGV8fSZABNgAsmPAAvUye+c8oqYABNgAkwgCRP48uUL6tSpA09PzyhX\ncePGDbRu3RoU/XX27FkZKe3l5SWjqPX09KJszxWYQFwSKF26tIzmj2gM8pwuVaoUzM3NI6rC+5kA\nE2ACMSJAtg7kTRxRIb/8tm3bRnSY9ycTAmXKlMHVq1cxe/ZsLFq0CEWLFsWJEyeSyep4GUyACTCB\n5EGABerkcR55FUyACTABJpAMCFB0T61atXDq1Cn5IyqiJZ0+fVqK2PSDi4RsSnxIiecoijp9+vQR\nNeP9TCDeCUQmDpG9h4ODQ7zPiQdkAkwg5RCgOzS+f/8e7oLpIlm5cuUivZAWbkPemSQJ6OjoSE9q\nsv0oVqyY/B5Fd/r4+vomyfXwpJkAE2ACyY0AC9TJ7YzyepgAE2ACTCBJEvD390eNGjVw/fp1Of+1\na9eqJZijnMZ79+6VP6Zr1qwJivo6duwYFFHUJPZxYQKJjUBk4hDZe7Rp0yaxTZnnwwSYQDIiQIkP\n6S6j8ApfJAuPSvLfRwl8d+/ejYMHD+LixYvy/bF8+XLQ9ywuTIAJMAEmkHAE+NdswrHnkZkAE2AC\nTIAJSAIfP36UyXtu374thWcFlgULFsjIr3Xr1sHGxgYtWrSAsbExyEtREUWtqMvPTCAxErC0tESR\nIkXCTI2EoapVqyJ37txhjvEOJsAEmEBsEujcuTPIazp0IUGSbLK4pEwCjRo1woMHD+TdZwMHDoSt\nrS3u3r2bMmHwqpkAE2ACiYAAC9SJ4CTwFJgAE2ACTCDlEnj//r0U6u7du6cmTlOE9OLFi2Fqaore\nvXuDkj3RD6k9e/bIKOqUS4xXntQIRCQOsb1HUjuTPF8mkDQJ0J0c9P9U1UIXyeiuJU4krEol5b3O\nmDGjtFSju9HI8oVyJ4wYMQKUD4QLE2ACTIAJxC8BFqjjlzePxgSYABNgAkxAScDPzw9VqlQB+SGG\n/vFMlcg308LCQvpMUxR1RLcpKzvkF0wgERKgBGSh398kDjVv3jwRzpanxASYQHIjYGJigrJly0oB\nUnVtnTp1Ut3k1ymYAHlSu7i4yGTTq1evlnetkQUIFybABJgAE4g/AixQxx9rHokJMAEmwASYgJLA\nmzdvULlyZTx+/DiMeKeo9PPnT7i6unKElwIIPydJAmRLQ7dOU3QaFUpUVb9+fWTNmjVJrocnzQSY\nQNIjQHdy0IUxRaHPoWbNmik2+ZkJyP9H0R1rbm5u8vtZkyZN5IXUFy9eMB0mwASYABOIBwJ//i8d\nD4PxEEyACTABJsAEmABk8sNKlSrJyOjQkaWh+ZA/NUVPc2ECSZkA2XkoxCFKjsiRi0n5bPLcmUDS\nI9CqVSvQZw8V8qNu3Lgx9PT0kt5CeMZxTsDQ0BBbtmzBiRMnQPZr1tbWWLhwIShogAsTYAJMgAnE\nHQEWqOOOLffMBJgAE2ACTCAMgZcvX8po0qdPn0YYOa3aiH5QT58+nX8YqULh10mOQMuWLZVzzpAh\nAyg5FRcmwASYQHwRyJUrl/Scpjs56MJwx44d42toHieJEqhVq5YUqIcMGYJRo0bJ/B/Xr1+PcDX0\nfY0srci+jQsTYAJMgAloT4AFau2ZcQsmwASYABNgAtEi8Pz5cylO03NEkdP04zldunTyobBE8PHx\nwfbt26M1JjdiAomBQI4cOVC7dm05FfKe1tXVTQzT4jkwASaQggjQnRy/f/9GpkyZ0KBBgxS0cl5q\ndAnQBdUpU6bgzp070NfXR/ny5TFw4ED4+/uH6XL58uXyuxr9Py6i73hhGvEOJsAEmAATUBJIJf4n\n/Vu5xS+YABNgAomQwKtXr3D27FncvXsXvr6+CAgISISz5CkxgRACJCpnzpwZRkZGoKQ71atXlx7S\nz549Q9WqVeHt7R0GFQnSFN2VN29eUDIneqZHnjx55EOxzaJeGHRxtoN+XF6+fBnXrl2Dh4cHyGqF\nklZyiT4Beu9fuXJFenvS3weX6BOgzwzy8C5UqJCM6itXrpzSQiX6vXLL+CRA32Xou83t27fl/xdI\n8FJYUMTnPFLSWPQZfuDAAeTLl0/+3aSktSfEWtOnT49s2bLJBM8VKlRAyZIllbkIEmI+sTHmhg0b\nMHz4cBlEQLYfZB1D5fXr1zKp9ZcvX+Rn8YABA7Bo0aLYGJL7YAJMgAmkFAIrWaBOKaea18kEkhiB\n4OBg6f+2QkQjXLl6VfgF6sDSJC+MDLIgU4b04gtuElsQTzfFEKDLvgGB3+Dz9gPcvV9JwcHWtqLw\nutRHgQIFQAnjSHhWFaDpBxyXxEHg4cOHcHR0xJatW/FJiNL62XPC0KQgdPWzIbVO2sQxySQ6i58/\nf8DtyinYVKiNVCrJypLochJ02j9/BCPo8we8evIIAZ/eI4eBARw6dUL//v1hbm6eoHPjwSMnQL62\nS5c64vDhw+Ki1w+Y5s4Bk1xZoK+bFqn5y03k8GLh6LXHPoJ3VuTKmikWeuMuIiPw7ccvvA8IwqMX\nb/EpIBBGuQ3RpWs39OvXT34XiqxtYj727t07jBw5UuYHqVevnvh7Xiq39+3bpxY5vX79elByTi5M\ngAkwASagEQEWqDXCxJWYABOIVwJOTk4YLbzeXr56CfuqpdGmdkVUK2WNDOlZHIrXE8GDxZjAFyFU\nn73xAFuPXcRhl9swEwL1vPnzZXKmGHfOHcQqAYp+GjFipLgwthm58pmjgn1nFK3aEDnFay6xR8Dj\n5gVYlKocex1yT3jt9Qh3zx7AlYMb8cHXB92798DMmTOQPXt2ppOICJB37eBBA3Hx0mXYFjZFB7si\nqF3SHDn0MyaiWSb/qVx2e46yhfJChy+SxevJdn3qi4NXHmHz2Xt4/zkQAwYMxOTJk+UdZ/E6kVgc\n7Pz58+jTp4+8y4oCa0KXtGnTwsXFBWXLlg19iLeZABNgAkwgLAEWqMMy4T1MgAkkFAGKSOjapQsO\n/vsvOjWogrFd7ZE3F//ATqjzwePGLgGvl28wZdVe7D59Be3atsGKlatEVLVe7A7CvUWLwI4dO9Cr\nd2+kzZgFDfpMQKnaLZL8bcjRAsGNkjSBXz9/4urhbTiycirS4Cc2iOg99tlN+FP6U5yX8ePHY9as\nWahgnQ+TOtihtEWehJ8Yz4AJJACB4B8/sfHkbfy9ywWZ9bOKu5W2oUqVKgkwk9gZkqx5TE1NpQ1Y\naOdUHR0dGIi7W8i/2tDQMHYG5F6YABNgAsmXAAvUyffc8sqYQNIicP/+fTSoXx+/ggOxelwP2BYv\nlLQWwLNlAhoSOHHlHvr+vRZZc+TCkaNHYWZmpmFLrhbbBOjHJN2mO3fuXFRp2RON+09Gel2+7Tu2\nOXN/8UsgMOAT9swfKcRqJ0ydOhV//fVX/E6AR1MS+PTpE5o1tcelixcxo0tNONQswRe/lHT4RUom\n4Of/FUNWHsWxGx5YvHixtP1IijzGjRsnLz7RhajwSpo0aVCmTBk4OzuDIqq5MAEmwASYQIQEWKCO\nEA0fYAJMIN4I0G2vtWvXgo1JbmyZ2h85smSOt7F5ICaQEARe+X1Am7GOePXhC86IJFnW1tYJMY0U\nPSaJ0126dMXWbVvRbtxSlKnXJkXz4MUnPwLnd62SQjXdSr9o0cLkt8BEviK6K6xGdTu8ffkcTqNa\noIgpR1Am8lPG00sAAvP2uGCGk3OSvJj24MEDmQw7InFagZMiqbt164aVK1cqdvEzE2ACTIAJhCWw\nUmeSKGH38x4mwASYQPwQePTokfgBVx2lC+XDzpmDoZ9JN34G5lGYQAIS0Muoi5Y1y+H4pTtwXLEa\nrVq3RpYsWRJwRilv6EGDBmOdsEDoMccJxe2apDwAvOJkT8DEpjQMTS2xatY40AUZOzu7ZL/mxLLA\nr1+/onatmnj30huHJrdHwbw5EsvUeB5MIFERsLXOj9zZMmP03FXSDqNcuXKJan4RTYY+U+3t7fHi\nxYuIqij3U92bN2/KBNmlS5dW7ucXTIAJMAEmoEbgRmq1Td5gAkyACcQjgYCAADQVX+4K5M6GzVP6\ncRLEeGTPQyU8ARKpd8wcBL30qdG8WTN8+/Yt4SeVQmawdu1aODouQafJq2BdoVYKWTUvMyUSKFmz\nGVqPWiiTke3ZsyclIkiQNffu1RMej92wa1xr5MvJFx8T5CTwoEmGQOdaJTG+vR0GDx6Ms+KusqRQ\nnj59KhPR6uvry+mmFkk3o7Lw6NevHy4Kux8uTIAJMAEmED6BVOKK3u/wD/FeJsAEmEDcEujVsyf2\n7tqBC6snIk/ObFEO5v8lEBfvPsZNNy/cdfeGQVY9FCuYH8ULmqB8EYso20dU4fW7jzh++S4qFiuE\ngvly48Wb9zh9zRWVilvC3Dhub8mlj+A9Z67h6n0PPHvlJ+1NCpnkQYd6tmJ9IV96I5p3Qu8/dOEW\nvgV/R/MaSSPaJaF5RTS+x3NfVO01Bf3EbfiURItL3BLw9PRE4SJFUKV1PzTuNzHCwXyfPsaTu5fD\nHE+dWgfZjfIjn1UJZMj0J8nlu5dPcc/5CGxsayNX/uh/HoUZMI52vH/lLRPqvX3uieCgr8iRxwRW\n5WuIR804GjHybj/4voDbldOwKFkJOfOZR16Zj2pNYPvf/4PrmT1we/gQRkZGWrfnBpoT2LJlCzp2\n7IidY9ugRomIcww89nmHK4/CRl/qpE6F/ELULm6WG3q66TUfOIFqnrjpgc+BwWheySaBZgBcfOAN\nz9cfwoyfNVMGWOczgFnu7EgtuCqKj58/Tt/1QiWbfPLY6w8BOHHLExWtjGGRJyTaPfS6Dl97jODv\nP9HUNuVYcv369VuNm4JfXD13nb8X155+wEO3R0nqrjJ3d3dcunRJPkhgp7tD6fs9CdY/fvyQr4kZ\nidjZsmWTSRPz5s0bVxi5XybABJhAUiXAHtRJ9czxvJlAUifg4uKCypUrY/3EPhoJnCTitRg5H14v\n38qlZ9fPhIDAb+LHwg+53bF+Zcwf0ilaUdjnb7mh4f9mw3FkFzg0rIqjwnah9ehFWD6mO9rXqxRn\nqD9+/oqmw+cKwf0p0qdLg1zZssD3/Se5pgzp0mLBMAchVMfd+DFdWDUhqr7/FIB722cru5q/5RBM\njXJqdE6VjRLhixLtR6NyCUvxnuiq0ezW7D+D5btPhVt3Wt/WqFuxWLjHFDvXHjiLYQu34Pbt2ygi\nxFMucUegdp26cHvqg6HrzkEnTcQJi1z2rsWOWUMinEjmbAZoIz4nilVrJOvcdzmGlcNao/PUtShV\nu0WE7RLDgUsHNmLX3OH4EfwNtI5UqVLh8/uQz1bTImXRd9EeIb7H7wUyBb8OE5ajXIN2iQFTnM7h\n2pHt2Dy5FyYfeIisufJEOdavX78wx6EyfgqxI3TJkSc/es/fFXq32jZdhJjdoSLsKpXHju1Oasd4\nI/YIUFJEc7MCsC9bAHO614204/UnbmHYqqMR1jHQz4j5veqjYblCEdZJDAcaT9qMp68/4t7yAQk2\nnQH//IttZ+9FOH6VIiZY87+myCGYUjkuRPV2f+/E0v6N0LZaUVy4/wz2k7diYZ8G6FSjuKwTel01\nR6/D+4BA3HLsJ48n1388Xr7DmmM3QYK8/9dvKC9E+74Ny6FaUdMol7zu+E2sOno93HqTO9ZA7VKR\nX7z9IPhWGLoabdo7wHHp0nD7Scid5DXt4eEBb29v+Pv7gz6XwytBQUGy3uPHj+Hm5iYF68DAQGXV\nAgUKYNq0aVFGXCsb8IskS4D8xynK3tTUFObm5pwkN8meSZ54PBFYmSaeBuJhmAATYAJqBEaPHoWq\npWw0EjJvPPSS4vQHIegO79QIPeyry4jrHz9+wvXJCwxfuBmbj1yAq+dzHHccGy2RWnVyhfIbYVKv\nFihRyER1d6y/HrZwkxSnScDs36oOdHRS4+fPXzhz4wH6zlyDgbPXo7CZcZzPI7oL69W8JoK+Bas1\nn7l+P2qWLaLReVVrmIg26L30xOeNFKg1nRa9R31E5H3xcN4zdPEhqtK1cTWsPeiMcWPHYv+BA1FV\n5+PRJHD69GmcPHEcA5cdjlScVu2+breRKFmruXJXwAc/PLt/HYdXzcCmiT0xeuslEX1sqjye2F+8\nevIQO2cPRS6Tguj+92ZltPKXT++xf8l4XPl3M7ZO649uMzfF61IMxXwa9Z0IY8sQcSheB4/nwYK+\niOjNLYu0GvXjGx+89LgPI3MbZNRXv+Mo9HZ4HafLkBH2g2dg9cj2uCX+/1uyZMnwqvG+GBKYO3cu\nfn3/hvHtqmnc0/AWldBMJSrXz/8rbri/xN87zqPPkgO4MK8HTHJl1bi/lFxx74R2KGAY8vfxTQQw\nPHvzEVuFcL3v4kNM2nwGS/o1lHgKiihpspQoXiC3xrh61CuNoOCwF4g07iAJVAwUd8V1mL0Lr95/\nRovKhZE9sy4OXnmE9rN2yjsCbG3yR7qKmx6v4OP3GcXMwt59mC5t1N+Fsonx/mpbFcNFMsGhw4bB\nzCziOxAinUgsHiT7td27d8NJJFQ+deoUvgYGxbh3Ly8vdOjQIcb9cAdJi4Be5kyoU6cO2rXvIP3L\n06SJ+m8iaa2QZ8sEYk6A/ypizpB7YAJMQEsCV69exYULLji2ZLRGLUnIfe//BRsm9UWz6mWVbdKk\n0ZHi7dHFo9Fq9EKcunYf6w6eRd+WtZV1ovPCLG8uDO0Q8iMmOu01aUNC9AHnG7AyzYNBbespm5BI\nXatcEYzv0QwDhEBN1iMxFcppLOo3tktiju7Wdq0kLpO4TtHsdKFD2+Lp44tqpa2xbfpAbZvK+hTB\nOqZzY7QbtwR0q2jBggWj1Q83ipzAHCEeWZapKm0kIq/556i+QW4Ymanf0l2wdBV5y+6/yyZLWw+7\ntn3/NIjGK4rColt/46PcO/eviML9DhLeVa00MmXJLt5/jnh87SwompkidXXi8ceTgbEZanceGiGC\nXyJyLbWIRErK5eK+9ZKt+w1nfPsaoNVS/F48kfU7TVqJvAWLatVWUblo1YbIZ1kMc+fOw5YtmxW7\n+TmWCFDUpOOSxejXsAz0M2bQuFdKEGeVL6da/cqFTfBb7Jm69SyOXHdHnwZ/vvuoVeQNNQJG2fXU\nPL/JrqNmCXNccH2GYzfdRcRriGUF5T75X9OKam2j2mhnF/mdUFG1TwrHp287B4+X77F9TGvUKhli\ntdRbvPeqDF+N/iJKParo8Sev36NqURNsGtEy2sttb1cUC/ZexuLFi7Fw4cJo9xPThsHBwVi2bBmm\nTxV3C374iOqFcmBiHWErmFcPJtkziPwhaWJkfxLw7QcypEmNNHHw/Tyma+f2sUeAPnP8xbl++i4Q\nN5/744TrebRqtQ95chtiwqTJ6N69u/iNlrS/28QeLe6JCQAsUPO7gAkwgXgnQAnKCpvnk57PUQ1+\nVkQTk2hYtaSVmjit2o6E6r8HtEP5ruOx2OmoUqAeMHsd0gv/t+GdGmLcPztw+Z67+CKoIyNj5wzu\ngEwReDtef/gEM9buw8A2dVG9TGFccfXA+OU7MWtgO+l9venwebh7v4alEJcHC3G5YWX1SDSy7pi8\najdc7jzCO2GBQf7YnYV1iKrNg9/Hz8K/+QcoWju80qRqGTlGaA9sTfqm/kiU/nvDAew5fRUeL3yR\nM5semtmVxbhuzZBVLyPI1mTqmr0Y29UedqX/+Ea+/eCPDuOXol2diujaxE5ObcSiLfga9E3UbYp5\nwsKDPLOfHlgM2h/wNQjLhBXK1fue+GvZDrmmS3fdUWfATAxt3wDztx5GFWGVMb7HnwhU6vTCbTdM\nWb0X3ZpUQ9s6tnIcbf9xf/4aB87dwLCOMb+YQOsgGxn9TLooZWUq33PazMdTMC5fz0KbJmHq1rct\nDuPcBli3bh1mzJgR5jjviBmBly9f4tjRo+g6Y2PMOvqvtcJn+oOv+gWN379/iejYJbhz9gBeP3FD\nHgsb1HIYhsKV6qiN+9rrkYhYHieisW/gW+AXIYJTvSEoUcNeWc/r3lUccByP5kP+xotHd3H54Ca8\n8fZA7gKWqNFhEEhwVC33nA/BeedK+LjfQzZDY5CQXq/7KDW7jg++PrKJoamlalP5mi6U2A+aBu8H\nN0FRviRaK4omfe+aNxLBYi0Neo3FiQ3zcevkHmF30lLM5y66TN+ALELsVy1OIkkoeWH3mrcDPo/v\niqj0majRfgAsy1WX1UiUPrpmluhnN8grO3O2nCghkv5R/xn1/kSUfv38Ef8umwLPWy748ukdChQt\njwpNOodhrjq2Jq9/fA/G3bMHoZc9l2SpSZvI6tAaAsVcjQsVg++zx6BofE0LtaWSM1/MPmcqNe+B\nXfOGY/nyZdDT++Ohruk8uF7EBPbu3YuAgC9wqFki4kpaHDE3Cvn7eyH8khXFX/y/avPpOzh9x0tG\nWVsaG6CCsGBoVaUICpvkUlRDtwV7UcTEEJUL58fyw9dwXgi0ObNkRJuqRTGwSYUwwhrZOaw+egOu\nz3yRN4e+aGeCES0rC6E9xAP73lNfjFp7HBPbV8dzv09YIfqsX6YQhjYP///fn74EYeq2s8Ib+jne\ni+9E5SyNpXVGaIuH6+4+IFH01pPXcu5WYj0UUa4QR2knRS0v3HcRO5zv4+V7fxgbZAFZdkzpVENj\nj+5smTPgh4qf8g2PkAj1/o3Kwa5YASW3yF6MFusPCAqGY79Gstrg5YfFd0wdDGlmiwmbTks/8TTi\nQmMlEWX8d7fayJQhnbK7n+Ii5KJ9l6Vtxtdv36U3eU8Rkb1g70UUE1Hc3eqUUtbV9gVZclCUM80j\npoWizW3y51TjnytrJiHym2G7syvofJUpmDfCYZ4IH3A61zEpOoKhQ81icNywXlxMm4uEiDKlQJou\nDp3g5fUEXcsboZetJQz1Y9cPPrMQuLkkfwLkfZ9VNy1KGNNDH90qGuPFhyD8c94bA/r3w4pl/2D9\nxk0oWjR6F56TP0FeYUojED/hOimNKq+XCTCBSAkcPLAf9lU1+zJ+7uZD2Ve7KLyYSSwmOwyftx9E\ntHVIZNo9j+c4dvkO7HpPlYkPW9Qsj7y5sks7kF4zVkU4RxKPT151xSu/j7LOh89fpLg9cvFWjHbc\nJhMztqhZDm5ePug04R/cfvxM2RdF4lbuMRHbjrnIJIvkje392g+txyzC0p3HlfUMc2SBYfYsOHj+\nJuZsPAjfd5+Ux+gFichThfVHC5UEhJr2Te0ponyWEKgpGnykQ2MYi3Wv2HMKPaatoMOgNZJgTwK6\naqFbYmm/t+875W5XzxdinwdajlqI1fvOIJ/oiwqJ0hduP5Kv9UUiomIW+eSPXhJ56XXB/Lnx9oP4\nISvGVXiFy8rin61HL8pxSllq9sNQ0S5QWIo4Hb+I+oNmoXTHsVi2+4TiUIye6f1zVET002PN+N5a\n9fVFeKG/ET+aLYxzC2HbC3QB46CIjn/l90GrfiiCtom42HFg/z6t2nFlzQgcPnwYadNnEEkM1YVi\nzVqHrXXj+C650yCv+nuYBFWKrM6aMw/KN+oAEqLXjGovRWNFL563L2FeVzt5zLZZN9TtOkJEB6fG\nurEOUpBV1Pvq/wFP7lzG7vmjsGfhGGl/Qf7Wr4TwvXaMA5673VZUxbG1s6V9AwnElYUImbuAFS7s\nXo2FPevg09tXynr5rEIsNLZO7Qv3G+dBIrBqKSkEYPuBU9XEaU37funhCi+RWHLF0FZy7Gy584Ei\no2kNd4Vgr1poTpeFFzbZU6RJmw4BH9/B7fJJfPILEaqo7grh6X1s7SzZR52uI6Xofn7nCmGt0kPZ\nFVlfzHGogmuHt8FcJFgs36gj3gnRe9Xw1jjr9I+ynjYvXnu5Ya/gPb5hIWwY301cFHDXpnmEdYnr\noOVH5MOyXI0I64V34O3zJyCedH5dLxwF+Yh73b0S5vyF11Z1XzG7xjJp1/Hjf/5/pHqcX0efwL8H\nD6KiECdzZskU/U5UWu5xuS+3ChhmVe51mLsH4zeeBomcJEiSQL3h5G00nLhZ2jIoKjrfe4YtZ0Q+\njZk78F3YoXWuVQK6IrfFlK1nMWTlYUU1+Tx3tws6zdmNL6JPEkopmnut8BKuP36jsk8SnK+4vZDC\ndO/FB6R1hmG28Nfp884f1UauxfZzrrAVSQjbVy8G7zef0E7YRCw7dFU59qMXfmgqfJ99P34RHsdl\nMVSsh6IN24g5n74dcscAVR6x+hjm7bko+5I+xiKyd/u5e2g5fbuyr8heHLr6GO4iKriFShLHd8JG\nhcag5IialmuPfeAikjEqiqsQ7Y/f9ETtsetBa24ubFryGugJS5G76Od4UFFNPpNtxnQnkfdAiFVV\nhbh+SfTTcMIm7HV5iNuefz6f1RpFskFWHDuEYEw+2eX/txIrj1yPpLZmh4gJnedq4Qj25nlCvvfd\n9vzz+Ry61y9CvH8jziVdWLkl1kTvv3+vPlK+h0LXj2zbvoIVPnz8BMpXE9/F0dERlSrZIuev9zg3\nqDTG1zOPdXE6vtfE4yUuAsbZMmBGk0I4NaA0dD4+R7myZbBxY+wETySulfJsmID2BPjSnfbMuAUT\nYAIxIECJRV6+eo1qpdRvmY+oy6f/JUUsIBLvRVUo2phEaWqTXT+zrO79+h3+174+JvdqKRNT0K30\nlNzv3I0Q4TuqPlWPky/x5XVTYWJkIHfXENHV7f9ylJHSChuOiSt2CUH6HU4tG4eyNiG3R47r1hTN\nRszHBBGF3a6urXJuK8f1kMI1RTLTg+w+bIsVEpHlBdGwUklkDnWLsKZ9U1QxCew9m9bAvCEd5Vxp\nDt2mrMCuU1dA0b7aFopWrlm2sLRZKWQSNurbyjQv5v6vIzYcchbR8cbyNY3RpnZFzFi3H6ev30e9\niiHC2HdhHXDowi1pXRJeX+HN7Z6HN9YLj+YdJy/hk0iiYyHO9cSeLSTPd0JsX7XvdHjN1PbZVysD\n6wIRR/6oVdZi44mw96AyY90+vBQXSBSF/Bbp4gA9NC1VxJ0C/+w6gc+fP3N0o6bQNKx36dIlFBAJ\nAEmk1qZ8FBHHLx7dUTYh8fPxtXPC2uNf6Ioo3tAJESlCdtL+B9DPERLNSELkymGthBh8QVoz/P79\nG3sWjEKadOnxv5XHkSVnyN9TzU7/w7LBzXF83RzZpyJCmwYme4fRW8jr2kTOgyKM14zqAM/bF5HP\nqgR8nz4WwvbfQnyvLaKRdyqT8FCywX8GNcWZbUvRVERGUyEB966w+Xh46SQcRYKw9Bn1YF6iAgoU\nqwDrCrVkf7Lif/9o0zc1oQhvq/I10WXaehiaFpJRwhQpfvv0flRp2UvZ9a1Te6VNCon44ZU7Zw5I\nwbpyi55oNWKurEKR0xvGd8fNE7tkRDVZlBxYOklGYQ9ZfQqmRcrIevV7iotXguUBxwkoW7+tmtge\n3li0j6LYb53ci0v71+Op6zXoCNGcItTLN+wg1lNDzv+1V+T/38iUJYdYY8+IhojRfnoPBH35jElN\ni+D7t0BlX/msSqLjxBUyql65M5IXFBVvXLAI6O+hRYvEncwzkmUkykMXXS6gva36BStNJkri5l2v\nP8Kf99tPcL73FCSsZhEXfxX+1OQLTJHQg+wrYGKH6squrUXE67j1J3HZ7bmo++eOqKe+HzHVoSb6\niShhKmPbVEOzqVtFBPZddBVCdAkzIzz2eYfZO8/LiFmn0a2Unx1tqhZBi2lOQlC+JiOVFYOR4PjP\ngEZoWtFaRA+H/zNyypazeC7WcGy6gzLadnTrqmg13QmTt5yRSQnJa3iPywMEiujo5QMbyyhiGoOE\n6iJ9HOHkfE9GGdNF8x3nXVFHJNdTRC5TPVMh2o8Va6boYbLxUJSB/xwSkctp5ea37z/F+vzwzj8Q\nDcoWlNwU9WLrmdZJ52NCe7v/vmP+Rs0x63BOnCdFoejmE0LIprVN61xL7iYhvq8QsXddCLkIoagb\n1TOJ4htP3cbO8/dlAkMSg/8SfudtRKJHEpjXiAsLUZUm5S3DWMpQG7L2oJJbREyHLhb/RfP7Cbu9\niIqXiJ6mMkt4p78U71VFSSfuchwmouIpMl7TQhYseXNmlZ9T1apV07RZjOuNHDkSc+bMwahaBTDI\nLr/y7yHGHXMHTCAcAhY5M2JP96KYefwJOnfujBcvXmCsyEXDhQmkZALhf7NIyUR47UyACcQpgYcP\nQ37gWxfQ7BZARYRvboM/EUQRTVA3fcjtlD+EvYWiZBARQ2O7NFV+yaQo1QpFC+KOu7dMakcR1ZoW\nSs6oEKepjW3xQrLpgyc+8pkit3ecvCwtIhTiNB0goZKS4JGtxkHnm+jcqKqsT/Yh95xmY5uIJj51\nzRXXHjyB29OXWHvgLDLrZkD7eraYOaAt0gofWG36piR/VFS9rWl7lBBKaf7fRORNdMpf3ZtDU0FZ\n0X/r/wTq/WevKwXqczfdQFHpI4XncmTF/0ugFNQ3/OuMW4+eQk8I9uRBTlHpdA4V5ZFgRiJ4VMUi\nX+44EqjfyKFzi6j4FWN7SPH8sMttrNx7GtPEhYdc2fTRRZx/TYqNWYiATlnfy5Ytq0kTrqMhAdf7\nD2BoFnKRRMMmstqJDfOEXcW8ME1IWO40aVUY8ZOsJRTiNDXKb11Stn3lGSJEvHh0WwrexavbK8Vp\nqqCTJq2MuCZ/4kdXT0NVoK7UvLtSnKa65iVCbuV+5fmANnFhz2oZSVu5RS/lZx3tJyGb+iFBVyFQ\n0zi95+/Cg4snhFB9EO7XneVr2j60fKoQqEvKCGqyB6GiTd+ygfinQe9xUpym7czZDGBdsbYY4zg+\nv38r7DJyymo0J2IYUSQxJWukUqPDQPms+Ie8s0mo/x78Tdh5vMeNYzsE41JKcZrqUUS2bdMu8Lh5\nXlp0VLTvrGge5vnZgxsykpsi4skXmtbfcjhdJGipdm5JUL8tHpEVYh2XAvW3r5/RsM8EFKvWGF8+\n+uHKoS3S9mX1yLYYsfEC0uuGFZbCm2+uAta4/yBysT28drwvYgKBgYF46v0c1m1CxOCIa4Y9smDv\nJWH1cCnMAaPsmYV42wTZxR1VVPSE3cbRaQ4o+F80q6JBRvE9h8rnr8GKXfKZ7DlIFFUUutWcoq4v\n3PfGGWERQgL1OiFo/hRiaY+6pdQ+O8j2wkKMQ1HcZKWhKNWLm0mbEMV26OcP4gIyia4lzY2U4jTV\nIZGyc62Scux/hWDbSdig/BIX66isO3EL04VwmzF9WvF9Rwd3/ukv/LdDjtHcqLjcfyZFfLLDoNKz\nXhl0rFEcGUIlIaYLgCT+UqFo5Szie8PHgCC53hWHr0doSSIbROMfGn9UqypKdsS4vLC4uOvlK6Oq\nyS5l65m74ri4QNC2mnIEqjemTRWNBGr/r9+kmL9JCNO3hRWKnm462IsLBO2FJ3Z5Ye+iKBSRTuJw\nVIXE5tCe59SG/KOpZBUXD0KXfDmzyF2fvnwLfUi5TfYeVAyFp/pScRGDxPOjwj99zbEbmLndGbnE\nnQUOIpJf00J2L4rfDJq2iUk9Egbnz5uHJa2s0aKEYUy64rZMQGMC9Dn1l4jSzyeiqseMG4d06dJh\n+PDhGrfnikwguRFggTq5nVFeDxNI5ATev38vE/aRhYUmJZ9hSGTMK2GXQHYVkZVnr/zkYbO8IQII\nbeQU4mAG8aNHtWTVC/kRT9YM2pR8uf9E6VC7bMp+gmQ35EtNJUD023nSMvla8c9nIbZSoShs1ZI7\nR1YM6dBAPn6I23BvCIuInULk3iW8o0ngpEKRydr0TQn7SMzNH2q+ZGNBUcdUHj3T7pbSHFn0UNpa\n+8gwOmflCpvLiGmKnCaxfa/wsKYfZy1rlJdzCe+fmUJwXuR0RHhfB0v/cRJ+7auVRsYM6cNUJ9Hc\n9/jyMPtD70gXRwnfKokLFYcXjRQXJgoo59ezWQ00qVoaJTuMwfwthzUWqA2y6slpv3v3LvT0eTuG\nBN6Jzx7L4gZa91KhcScZQatomCq1DgzymgoB1jLcaGw6plp09UJ+2FOELpU33iFewhalwkaTGVsW\n/6+Oh3xW/JM9d37FS/lMthhUFH36PnWX2yTqXj28Vb5W/BMcFCgtPr5/C1LOl7ymyRNb4Yvt/+4N\n7l84ItpuE3Ycl7BqRDuM2nxBCMGmIjpbu74zZc0BE5vSiuHlc7kG7UX/R6UgXklYmrx7+Ux6b9dy\nGCo+C1Kr1VVsvBURwxTdnd1Ife3kv92o7wRZjTy6qXwLDMC6cV3ka8U/FG1Mxc/HS7FL7ZkikteM\n7gSyJSERnURsii7PY26jVk+xQckJO4xX/1xXHFM8E9e4Kh0mLBNR3en/zC+/uYh6Lw/dzFmE5/li\nKcRTtLgmhdb7zvOpJlW5joYEPnwIEedyaPjdRrXbjjWKoXoxM+Uu+v8jRQgXymugJsBmFp7GZQvl\nlTYTu4UITBGrFG1NkdLhFRIIQ78nFcLkU9+Q+bqLCGoqZEuxTdhmqBayEXn1PkB6QCv21ykVcmeY\nYjv0M0U0UyG7B/LBVi2fA0MEdK//xu4iBOvdFx5go7AoofVUsMon/aAblSuE/LlCghJItB7ZqjJm\nODmj+qh1gkkO6Y9dW8yjhhDLya9YtdBdIQVVIqrpGHlgd5m3V1psFDLOgUblLFWbxOi1gX5GtXNE\nnWUVftdUvgR9l8/EmoRqWotqMTXMFqat6nF6PUtEtzseuCItXch3m6LXG5e3CtMX1SU2LzZHLWzR\nxYLwiiIi/qO4yBC60HuBSlYR0R9RsRX2NgcmdZAXJxRr7V63NBqJiO1yg1YIH/FLWgnUBnoZ8O5d\nyPf6iMaMrf2UG2fmzJlY1MKKxenYgsr9aEWgc/m8+P7zN0aMGAFzc3M0a9ZMq/ZcmQkkFwIsUCeX\nM8nrYAJJhABluU//X7SPJlMmKwcq95+8kJ7OEbWhJH6uns9lkjuDrPrKaqHFaeWBaLxQRGhH1FTh\nfU1f8tOGyshMliOta4lb6Avkkc1prk9evEENYZuhsPKgZI+UUJEevZrVRBmHcVKoJoFam77J8oKE\n79A/TCOat+r+D//5d6vuo9fpQ0UphT4e2Xbr2hUwfOEWnBW2KtVFQsZDF27CrpQNyIc7onJBJJgk\ncZoipYd2aCgSOVpHKGTROqM6NxGNExv76f1WucSf95yiT1pf8UIm0gKG3p/hieuKuopnivin8u2b\ndhdPFO35OWIC38Rnj7b2HtRbPhEBXbJW84g7DnUkXYbIL75REj8q2Y1MQrUEfoioYCqphQiuWqKa\n91f/90glhBqyDQldyJeZCiVv/PnjO1zPH0FWw7xqIjJFfJNASw+FhcZ9l2Oo2qo3NO1bMW4aIaKG\nLkUq15N2KGTzQQI1JU+kEpG9Bx2jBIJZDAwj/RyjCGoqNCZFhqsWsrIoXbe1sL4I307qo/DAJnGa\n2FZr3QflxYWI0EkcVfujqGyoD6F6OM5fU2R3eIU81UmgVkTTh1cn9D7iFSj+HrjEHgH6bkMlfTr1\nv11NRqBI5qbCvziqQn7JLaZtg9tzP5nIrnTBPCChli5I/08k7AtdKJI1dFEIhwox8r0QI0kQD+8C\nrq11yMUhRaQz9UV3hEVW3n8OETfTieSBYb4HicjclpULw8o4JIggr4E+Li/sJaNs9158IKOrTwlf\n6ImbT0vLDErmSGVY80rC39kGTkJAP3HLU0Rc35Qe2STAH5zcAYZZw65TdY4UgT66dRXh17xFWm3E\npkCtq8F3o4/C1zl3OOeCEidSxHdk5aLwqiZxmCKlBzetiGpFTOX5Cq+N/C6kxffr0H1QMkQqT9+E\nveChOK85hCAfUSGx3kCI1KELnZ9iZoYyYSatRfEeDF0v9Da9h4LEnQlxXR48eIB+fftiYLX8aFUq\nd1wPF2v9H33gh2Bxx2iTopEH74Qe0OdjEM55fEDFAllQIEfE5zN0u5hu050N9FkTnaJpW/p7+hT0\nQyYljGqcr8E/QdPJIN5niaX0sDXG47df0Vkk6Czleh8mJmG/JyaWufI8mEBcEYj8W0Zcjcr9MgEm\nwAQ0JFC7QlFMXLkLy3edRPcm1WX0dXhNtx27CLKEGNC6TniH42VfgTwhP7rIC3v1+F5qY/4UXyI/\nfw0SIqUQOUQhj2jypF47oTdaiuSNoQtFBZeyMpVWJJRgUJu+8+c2kO1I1FZ4cVP/FL1NSRkbVCoh\nbzelfeTJrVoUkdpR/WhSbRPV6xbVy2H0EifsEzYf9OX0vfAwbFOnYqTN1gh+mw9fwMZD59F0+Dzh\nRZgNlCizg3gQX9VCCSZnbVRPwKZ6XPG6U4MqKGlpqtiMtWc6l8Srdvmian3Svmev3kq7Fk3EabXG\nvJFsCVBUMpUnwj+ahFvV8tT1qtzMESoKW7VOeK+pT0qYWKfLMJkcUbUORVn//vUTJJzTe3LzlD4i\ngaMRxu24oVpN+bpMvTbSEoQEYiqa9q3sIJwXJJyXEiL/pQMbpC3HzRO7YVq0nJqNSehmZONB3t8k\nQpPYrCgU+Uwe2kWqNJCR7LSfvKgdJq9SVJHPlPwxSFhiRHTBwKx4RfRZsEsmGzyy+m8cXjVDenBT\nFHWRKvWlTYhqh5cPblJLSql6TPFaL3su1Os+SrEZa88ffF/IiPP8NqWQXSRKVC3vXj6Vm5mz/blz\nSPU4v04+BBbuvSjFafKfJt9jRTl2w13xUu3Z6z/LBtWd5JlMReHbbCoile8I24ghzW2FcKx+hwlF\nQZPFhqaCIvVrIqKCqZjnFomZBzWRrxX/kCAbIKKodf+LJCbrCrq9vYlIiEcPEqEuPvRGj4X7MHXr\nWfSoJxKIiQtvgULUzJ8ri7DEqI0byi4AAEAASURBVCofvh8DMF8kTVx99AZWHbkuPJjtFENE+Pzj\nv+86weJOtfgu+YU9BiUN/CzurtPT/XMBj6LXySc7srJikL20CNl8+g5aCk/wPDn0pId3O7uiMBOM\nVQtxmbvLRXVXuK87iIh9uigSupDgTyW8iPwH3m/kMbooElGhpJNkzVKzhLlaFfldSCTJpDsAtHkv\nqXUSRxs0t+5du8Amd0aMFL7TSaksPPsMH75+11qgfvj6C4bvfSSjxeNaoPb0+4r1l31w9KEfPgf9\nRFkTffSqlA9VzEM+J6LivfnaSxxyfYtLXh+lmF7VIhvG1jVD+jTqd058DPyOaUefYO8dXwR+/4VM\n4kJhjULZRSLCgsiRKeR3l2KsY2IuM449gbsQgummp/zCWmNsHTM01lLoV/QX289TG1rgyrNb6NO7\nF44cPRbb3XN/TCDRE1D/60700+UJMgEmkNIIFDHPh1a1ysNDJPYbs9QJZIMRulx/+ARTV++R4u+Q\n9g1CH463bbO8hiArjFNCsCQ7C9Uyb8sh5G80ADfEXKmU+c8uY4vwiw5dl46TuEze1jYiqR9FLGnT\nd6XillKIcrn9iLpSlimrdmP8sh0ysRGJ2FQ8nvsqj9OLQy631LZjYyOHsK2oVa6IjJzedfIKMokf\naGR/EVmhCPDhnRrhzra/cWD+cBlJvdjpqLTMqDtwJjYdPo8AIfhT+RTwFeRTHdXDK5S9SmTja3Ns\nzf4zaDlqoVqCRGp/9b4nXrx5L5NeatMf103eBIwLFZPRvm5Xz4RZKCVSpEhoq/K1whyLbAeJvVRc\nhY2GagkM+IRJ9oVFQsWOcjdF2JEnNiUypASL4RXPWxfkbkq+SEXTvmXlSP4p17C99Mk+uXEBfNzv\noYIQgiMr5LNN4oHHLXXB5V/hk71/yXgpIBsYm4EsRR5ePiWjw1X7I9/wMbVNpLCrul/xmqxFyBu7\n28xNmHLQDY37TZKJF9eNdcD4hoWwe/5IvHh8V1FdJsa8tH+DSKIY8SMqj2plZ1q++Or/ATSvE+vn\nhml580RINLp5icgv+oVpyDuSHAFFZGvbauoXQ4/eULcEUiyMkt4pfIUV+7aeCXlPFzUNudBbRliG\nUDkeqg9/8f/X4v3+Qee5uxVNNXo2E8ntcujr4vSdJ+K7jfr3NfLZNuu6ADc9Xsq+SHCtOmKNsl+6\ngF25sIlMiEjCOInZ512fyjZkBaIoFJE7sEnIhX2KTo6q0DzWHrspq1UuHDbCN6r2MT1etIChFPpd\nhPe3atkgrE2iKhR5PVRcPLixpA/2jG8n/a3J8qOssMxoOGETtpy5gwBxIYEK+UNvOn07ysfT12Ej\npKm9UXY92Nrkw6WHz6V9DO2jQvx2Cf7kiV7CLHfIznD+pcj2NjN3qCVIpGrX3X3g4+ev5pcdTvME\n2bVjxw5cuXYdc+wt5MWSBJlENAftViEv+lfJp3VrSsw3pk4BFM0b+Z0HWnccqkGguPjSZdM9bLvx\nGtULZkfn8nng5ReIzhvv4bIQnKMqTjdeYeS+x/AXEdEDq5nA0jAjVl96gT5O96Gaayj4xy903HAP\nW6+/QtNiuTC3mSWaFc+Fg0LY7rrZVW0YijrvtsVV+t//JYTuyQ0sRBR1KvR2eiCiyt+r1U2oDRLf\nZzU2x9Fjx3HixImEmgaPywQSjABHUCcYeh6YCTABTQlM7t1KWnws330S10UiwYaVS4KSyVHE9I2H\nXiLK1lnenrp56gDpOa1pv7Fdj4Tkyb1bYMDs9egxbRVILKdbbw9duIXZGw+iehkbZXK/yiWspPC+\nUwi2DQbPlkkUrYUYTVYQ9zyeS99iyl6vENy16XtYxwaSydAFm4XAA+TJlQ0kDO8VEcwUPU3iNAnA\nZNuxbNcJmBnnQk5hU0HR1aeu3Y8RlvyGBrjs6gFKElihqIUygpsipo9euoNtxy+iXR1bKVJrMhAJ\nanbCFoQelDBz2zEXIUSfR/9Z6zBi0RaRSLIS5g/phHenVmnSXazUsWwxFL7vP+HjmZAf1l0aVZPn\nuMmwuZjcq6VMkuj27CXGLt0uI8YVvt+xMjh3kuQJUGLAKq164ey2pdgxeygqt+ghBesbx3bizpn9\nKNegnYgsVo9Ai2rRVUQfF3avBom/WXPlQYGi5fHxjQ8OLJ0IEqkpsaCitBg6G3O72mHpQHvUFh7Q\npkXKQN8gN/xeeOHO2YPKpIOFytrJJtr0rRgjvGfTImVFpLMZzmxzFLYausI2pVl41ZT7anceJqKb\nN2HXnGHkTyLXRYkMSQSmCGeFNzUJy04zBmLjxJ6o1el/yJBJD/ecD+PYujkySaRZ8QrKPiN6QYkb\na3YcLB8kiF/avx4X962H844VyFuwKFqNnA+HKavlI6I+YnP/xX3r5HuDorHrdR+NPBZFxHkqK+eU\nUT87ildvLKLif+Ha0R0yoWbx6k1gUrhMbE6B+0qEBEgcPHHTU0YXDxAC7ZuPX2SSvYMi6SAVEqM/\nCcE2y38+wSTydpy9Sybno8R4VG/FkWsiwZ4VKlqHCFvd65aSdhnkD0zRueWEYO3z7jMmbzmDT0Kk\nHt6yslYkyN94fPvq0nKk95IDGGxfUXwPSocj19wxb7eL8Jg2lSIrddpQeE1P2XpWrqdL7ZLSj/mC\nSIa48/x9KYTmFEn1yomEg2QdMWfXBTm/YkLspWR8FEFNpU4pC/ms+GfxvstKD2jaR0kbrz7ygeer\n9yKy10xGHyvqxtfz8BaVsdP5PoauPAI//69SwD8uzuNelwfKu9mimgt9F6pW1FQ+yFPb6ZwrNgsx\netCywxi99oRc15wedfF6a8zu4KAkmm2FyEz+4UOFtQp5Ti/af0lEVX+A0+jWapZLRfosga94D751\nGi2n7yASXx4W57nF1G3iPWAnkyRS4sbxG0/J70K0L7GVqZMnSTHTJnfcirVxse7W0bQjMc2hKwXf\nuJiTap9/H/eCpxCkNzsURQ3LHPIQWVjUWHwNg3e74crwiP/fTDYkEw55oJxJFuzsXlzYBYXEVFqc\n8sL808+w584bKNa/49Zr3Hzujwn1zdGncsjnWvsyRnK8zdde4c4LfxQ31hf+zr8w/pA7jLNmwL5e\nJZWR1Q0L50TZOZew+uILVLNQvytBdT3x+bpCgayoaWWAKZMmonbt2vE5NI/FBBKcAAvUCX4KeAJM\ngAlERcA4V3acXT4BY/9xklGyFDGtKBRxU8baDJREL7T1g6JOfD47NKwqvZPHL98hkwHS2GmEH7VD\nwyqY0LO52pf7JSO6SLHYcccx9JmpHgFFYvWsge3QrHpZ5fQ17Zs8kY87jkXHCY7isVTZ3r5aGSwe\n0Vluk+C9cXI/dJ28HD2FmE4cq5a0htP0gagzYKayjbYvereoKaPZ245dLBMHkhBPhYTxzLoZRERU\nkMYJA0OPnSNLZmHhUlc+SATfKKKmT15Rj44I3SYutuk2ZboVWVHqViyGf0Z3k5Yt7cYtUewGvW8P\nLRyJYgXjP2JLOQl+kSgJkKhKthvnti+Hy56QCx00UfJnbj50ltZzJguNfov3YtOkXtgkhFpFyWVS\nED1mbYVFqT8iUx6LwhjgeBB7FozC0TV/K6rKZ/JjpkjnpoOmI71uiB+pNn2rdRbORtn67XB45XQp\nsGbIpB9OjT+7KJHf/1Yew9oxHcWjk/JA8er2aDtmkXK7YhMHfA/6iv2OE6R4TQdS66QB7W/YZ7za\nZ66yUSQvLIRnNz1aDJuD60e3C7F6I3xEJHWB/6LUI2kaa4cocpwEaHqmQuJUj9nbsG3GAHERYr58\nKAar1Ly7PF+KbX5OvgQGCbH3stsLUEJDeoi3hUwqeHlBLziISOclIrJWL2N66dlMFEjQpKjYLvP2\nyIvVtK+S8AieK4RMRSEv6t1/tUUfISb3XnxAsVskGsyOTcNbyPrKnRq+6FSjuLTlmCS8pPdfcpOt\n0giBqaPY/1e7asq/yX6NyuGB91uZPI8EckUpLoT4lYPt5SZZYpBVSP+l/8J+8lZFFXEnmA7Gta0W\nRqAmLqolu54urPPlBAngfRuWVY6tWieuX1MU9OGpnTBizTEMESI1FZrT3gntUWvMeuiLc6ZNIU9t\nYkePq49eYNOpOyDv7tgolHhy+cAmGCw8zel9Q4XmN61zLdQqqX7hlC6AqH4Xqi0uFizp1xCTN59B\npzl/Iu/Ja3y/WKsiaj825hkbfbi4uOD+QzfM61c6NrqLtT6Iq6OzNyjal6KQ7UT0MUVLLznnjSJ5\nMotI5JC7Hv466I4A4aO8UCR2pEK2Hel0UmGQnQmmHPHEtWefZFR4RSF2Tm9cEBn/88e/JcTcOaee\nCjHXGFXjUJDdcfM1rA0zKcVpmmPOzOlQvVB27LrlK0XlUvnC/x5wRKw94NtPYQdirBSnqX3rkrml\nQL3v7h+BevdtXyE2p5WMqI6iEAcSuBUWH1cFD5+P3zBZWGgo9lFdoyzpsbZDEWFOk7hKz4p50Hbd\nJZBHuo2NTeKaHM+GCcQhgVTiy29i+3uMw+Vy10yACSQ0gXXr1mFA/754fXRZtKZCFh+Pnr0Sj5fI\nKwTAohb5NEo+F63BYtDo89dA3HX3FjYU31DY3FiKlRF191FEwzz2fiX9ivUy6cLUyABWpiFfQMNr\no03fXi/fgDyazfLmQq7sWcJ0p+BpKDLMqyaXDFNRix1Bwi/y7Ud/uWYSVhSlYtcJ0p/w8rqpil0x\nfg78Rn6W6WLcT2x0QHMhW5YPn7/AIp8h8hvmEMK/dk5aZPeSo2Yv7Nu3D/b2IT/QY2Nu3IdIdpjf\nBKWb9kSNDoMSDY7P798Ku4u7MskfCccZ9TXzZYxoAfSV7u3zJ/B9+kj6NlPUbepQCVsVbRV13z73\nRNCXTyJC2RhG5tbIqJdVUUXtWVFfk77VGsbChp+PF/z9fEGWHpTQMbwS9OWztOT49vWLiDi2QTZD\n4/CqRWtfcFCg8LLWjVbb2G70/pW3sGhxh27mLDA0tZQR49qOcfCfyXh9+xTu3YnaYkDbvlNq/SdP\nnsDc3Byn/u4Srr9vbHJxfeorI3FLmhspo6WpfzcRrWosxEDy+rXothAlLYywc2wbfBRRxLeEz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BnEhqS+y5/RyO1j74msojX70TySBZVD3xa6c0rVc2lghIBNIHgZTd9tNnHNmLREAiIBH4rBF4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\nxL2FuaH29TCO/PX/OeuvblK3sAXKFNC+6aY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OmUI632M6nwH1S4MeXefuwgHf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\nltGB46fwx8QZ+BARifEEaEuW8SMworkj9lx/jhGbLiGEloma0jLR0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DUQPr9+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\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krRI4HR3xHEG+3vK2ubURHvRMyIco+ju/X3ZD287ZRbFYvu1UqbrYvn3hb3kZb6SQVvPw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F3t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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "dot_data = StringIO()  \n",
    "export_graphviz(dtree, out_file=dot_data,feature_names=features,filled=True,rounded=True)\n",
    "\n",
    "graph = pydot.graph_from_dot_data(dot_data.getvalue())  \n",
    "Image(graph[0].create_png())  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Once the decision tree has been constructed, classifying a test record is straightforward. Starting from the root node, we apply the test condition to the record and follow the appropriate branch based on the outcome of the test. It then lead us either to another internal node, for which a new test condition is applied, or to a leaf node. When we reach the leaf node, the class lable associated with the leaf node is then assigned to the record, As shown in the figure."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The classification technique is a systematic approach to build classification models from an input dat set. For example, decision tree classifiers, rule-based classifiers, neural networks, support vector machines, and naive Bayes classifiers are different technique to solve a classification problem. Each technique adopts a learning algorithm to identify a model that best fits the relationshio between the attribute set and class label of the input data. Therefore, a key objective of the learning algorithm is to build prdictive model that accurately predict the class labels of previously unkonw records.\n",
    "\n",
    "Decision Tree Classifier is a simple and widely used classification technique. It applies a straitforward idea to solve the classification problem. Decision Tree Classifier poses a series of carefully crafted questions about the attributes of the test record. Each time time it receive an answer, a follow-up question is asked until a conclusion about the calss label of the record is reached.\n",
    "\n"
   ]
  }
 ],
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