Session1 Machine Learning Clean.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AI 모델링 활용 1(머신러닝 실습)\n",
    "\n",
    "### 사용 데이터\n",
    "* 타이타닉 생존자\n",
    "* Titanic: Machine Learning from Disaster\n",
    "* https://www.kaggle.com/c/titanic\n",
    "\n",
    "## 수정가능\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('titanic_train.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1: 데이터 기본분석"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 컬럼 설명\n",
    "\n",
    "* PassengerId : 승객 번호\n",
    "\n",
    "* Survived : 생존여부(1: 생존, 0 : 사망)\n",
    "\n",
    "* Pclass : 승선권 클래스(1 : 1st, 2 : 2nd ,3 : 3rd)\n",
    "\n",
    "* Name : 승객 이름\n",
    "\n",
    "* Sex : 승객 성별\n",
    "\n",
    "* Age : 승객 나이 \n",
    "\n",
    "* SibSp : 동반한 형제자매, 배우자 수\n",
    "\n",
    "* Patch : 동반한 부모, 자식 수\n",
    "\n",
    "* Ticket : 티켓의 고유 넘버\n",
    "\n",
    "* Fare 티켓의 요금\n",
    "\n",
    "* Cabin : 객실 번호\n",
    "\n",
    "* Embarked : 승선한 항구명(C : Cherbourg, Q : Queenstown, S : Southampton)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>845</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Culumovic, Mr. Jeso</td>\n",
       "      <td>male</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315090</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>319</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Wick, Miss. Mary Natalie</td>\n",
       "      <td>female</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>299</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Saalfeld, Mr. Adolphe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19988</td>\n",
       "      <td>30.5000</td>\n",
       "      <td>C106</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>452</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Hagland, Mr. Ingvald Olai Olsen</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65303</td>\n",
       "      <td>19.9667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>564</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Simmons, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392082</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass                             Name     Sex  \\\n",
       "844          845         0       3              Culumovic, Mr. Jeso    male   \n",
       "318          319         1       1         Wick, Miss. Mary Natalie  female   \n",
       "298          299         1       1            Saalfeld, Mr. Adolphe    male   \n",
       "451          452         0       3  Hagland, Mr. Ingvald Olai Olsen    male   \n",
       "563          564         0       3                Simmons, Mr. John    male   \n",
       "\n",
       "      Age  SibSp  Parch           Ticket      Fare Cabin Embarked  \n",
       "844  17.0      0      0           315090    8.6625   NaN        S  \n",
       "318  31.0      0      2            36928  164.8667    C7        S  \n",
       "298   NaN      0      0            19988   30.5000  C106        S  \n",
       "451   NaN      1      0            65303   19.9667   NaN        S  \n",
       "563   NaN      0      0  SOTON/OQ 392082    8.0500   NaN        S  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 처음 5개 데이터 확인\n",
    "train.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "891\n"
     ]
    }
   ],
   "source": [
    "print(len(train))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 데이터 통계량 확인\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 얼마나 생존 했는지 확인\n",
    "f,ax=plt.subplots(1,2,figsize=(18,8))\n",
    "train['Survived'].value_counts().plot.pie(explode=[0,0.1],autopct='%1.1f%%',ax=ax[0],shadow=True)\n",
    "ax[0].set_title('Survived')\n",
    "ax[0].set_ylabel('')\n",
    "sns.countplot('Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('Survived')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sex     Survived\n",
       "female  0            81\n",
       "        1           233\n",
       "male    0           468\n",
       "        1           109\n",
       "Name: Survived, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 성별 생존 비율\n",
    "train.groupby(['Sex','Survived'])['Survived'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,2,figsize=(18,8))\n",
    "train[['Sex','Survived']].groupby(['Sex']).mean().plot.bar(ax=ax[0])\n",
    "ax[0].set_title('Survived vs Sex')\n",
    "sns.countplot('Sex',hue='Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('Sex:Survived vs Dead')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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z1gwTbK6pb2WGyUHn7TK6Ibr77Awza78uw12Mj2e4g7K2P8rw2Lfrkvxjkvdt4Hk9KcmXqur6DBNhHr6RPTsAuON7Zoa5IL6S5IoMQwp+THd/OcMTwD6dYSjrgzP0GFxjvyRnjd8rZyQ5prsvyvAH75szfB//Z4ZrqtcmyXhTY26w/5MZJre+NsnXM3zvHTwe/7okz89wrXBphpDjx57ScSvOyHAtcnl3f2E9674rQ6+DmwKMDbhe+aPxvC7KcE2wrnmlbvU42bhrkW9nuKY8OcmKJD/b3d8Z635/hmvJU8Zrs/MyzCWSJP+cIYz6f2Pt38uPD93YmHOCSdSt94IC2Pyq6qwkf9vdb13vyptBVb0lw3wdW9oz4gEAYEFYNHUBwNatqn4hw9waV2boefKQJB+etKhRVS3N0KPjYdNWAgAAC5ehHMDU7p/hmeLXJXlxkqeN42QnVVV/nKG75GvGLqwAAMAMGMoBAAAATEaPCQAAAGAyggkAAABgMnfoyS933XXXXrp06dRlAMAWZ8WKFVd29+Kp69gauB4BgFu6Ldcid+hgYunSpVm+fPnUZQDAFqeq/nPqGrYWrkcA4JZuy7WIoRwAAADAZAQTAAAAwGQEEwAAAMBk7tBzTAAAAMAd0Q9/+MOsXLky3/ve96Yu5XbZfvvts2TJkmy77bYbvQ/BBAAAAGxmK1euzI477pilS5emqqYuZ6N0d6666qqsXLky973vfTd6P4ZyAAAAwGb2ve99L7vssssdNpRIkqrKLrvscrt7fQgmAAAAYAJ35FBijU1xDjMNJqrq4qr6YlWdU1XLx7adq+rMqrpgfL372F5V9YaqurCqzq2qh8+yNgAAANiSvOpVr8o+++yThzzkIdl3331z1lln3e59nnHGGTnuuOM2QXXJDjvssEn2s7bNMcfEL3b3lXM+vyzJR7r7uKp62fj5pUmenGTv8eeRSd40vgIAAMCC9ulPfzof/OAH87nPfS7bbbddrrzyyvzgBz/YoG1vuOGGLFo0/5/3Bx98cA4++OBNWeomN8VQjkOSnDS+PynJU+e0n9yDzyTZqap2m6A+AAAA2KxWrVqVXXfdNdttt12SZNddd83uu++epUuX5sorh3v9y5cvz4EHHpgkOfbYY3P00UfnCU94Qo488sg88pGPzJe+9KWb9nfggQdmxYoVOfHEE/PCF74w1113XZYuXZof/ehHSZLvfve72XPPPfPDH/4wX/va1/KkJz0pj3jEI/KYxzwmX/nKV5IkF110UR71qEdlv/32yx/8wR/M7NxnHUx0kn+pqhVVdfTYds/uXpUk4+s9xvY9klwyZ9uVYxsAAAAsaE94whNyySWX5H73u1+e//zn5+Mf//h6t1mxYkVOP/30vPOd78zhhx+e0047LckQclx22WV5xCMecdO6d7vb3fLQhz70pv1+4AMfyBOf+MRsu+22Ofroo/PGN74xK1asyGtf+9o8//nPT5Icc8wx+e3f/u189rOfzb3uda8ZnPVg1sHEo7v74RmGabygqn5+HevON2NG32KlqqOranlVLV+9evWmqhMAAAAms8MOO2TFihU5/vjjs3jx4hx22GE58cQT17nNwQcfnDvf+c5Jkqc//el597vfnSQ57bTTcuihh95i/cMOOyynnnpqkuSUU07JYYcdluuvvz6f+tSncuihh2bffffN8573vKxatSpJ8slPfjJHHHFEkuSZz3zmpjrVW5jpHBPdfdn4ekVVvT/J/kkur6rdunvVOFTjinH1lUn2nLP5kiSXzbPP45McnyTLli27RXABAAAAd0TbbLNNDjzwwBx44IF58IMfnJNOOimLFi26afjF2o/lvMtd7nLT+z322CO77LJLzj333Jx66qn5u7/7u1vs/+CDD87LX/7yXH311VmxYkUe+9jH5jvf+U522mmnnHPOOfPWtDmeHDKzHhNVdZeq2nHN+yRPSHJekjOSHDWudlSS08f3ZyQ5cnw6xwFJrlsz5AMAAAAWsq9+9au54IILbvp8zjnn5D73uU+WLl2aFStWJEne+973rnMfhx9+eP7sz/4s1113XR784AffYvkOO+yQ/fffP8ccc0ye8pSnZJtttsld73rX3Pe+972pt0V35wtf+EKS5NGPfnROOeWUJMk73vGOTXKe85nlUI57JvlEVX0hydlJ/rG7P5zkuCS/VFUXJPml8XOSfCjJ15NcmOTNSZ4/w9oAAABgi3H99dfnqKOOygMf+MA85CEPyZe//OUce+yxecUrXpFjjjkmj3nMY7LNNtuscx9Pe9rTcsopp+TpT3/6ra5z2GGH5e1vf3sOO+ywm9re8Y535IQTTshDH/rQ7LPPPjn99KH/wOtf//r89V//dfbbb79cd911m+ZE51Hdd9zREMuWLevly5dPXQYAbHGqakV3L5u6jq2B6xEANsb555+fBzzgAVOXsUnMdy635VpkiseFAgAAACQRTAAAAAATEkwAAAAAk5np40K3Vp879hFTl3CH8vBjV0xdAgAAcBs94iUnT13CZrXiNUdOXcKCpccEAAAAMBnBBAAAADAZwQQAAACQJPnwhz+c+9///tlrr71y3HHHbZZjmmMCAAAAtjCbeg6PDZkj48Ybb8wLXvCCnHnmmVmyZEn222+/HHzwwXngAx+4SWtZmx4TAAAAQM4+++zstdde+amf+qnc6U53yuGHH57TTz995scVTAAAAAC59NJLs+eee970ecmSJbn00ktnflzBBAAAAJDuvkVbVc38uIIJAAAAIEuWLMkll1xy0+eVK1dm9913n/lxBRMAAABA9ttvv1xwwQW56KKL8oMf/CCnnHJKDj744Jkf11M5AAAAgCxatCh/9Vd/lSc+8Ym58cYb85znPCf77LPP7I878yMAAAAAt8mGPN5zFg466KAcdNBBm/WYhnIAAAAAkxFMAAAAAJMRTAAAAACTEUwAAAAAkxFMAAAAAJMRTAAAAACTEUwAAAAAec5znpN73OMeedCDHrRZj7tosx4NAAAAWK9vvPLBm3R/9/7DL653nWc961l54QtfmCOPPHKTHnt99JgAABasqtq+qs6uqi9U1Zeq6o/G9hOr6qKqOmf82Xdsr6p6Q1VdWFXnVtXDpz0DANh8fv7nfz4777zzZj+uHhMAwEL2/SSP7e7rq2rbJJ+oqn8al72ku9+z1vpPTrL3+PPIJG8aXwGAGdFjAgBYsHpw/fhx2/Gn17HJIUlOHrf7TJKdqmq3WdcJAFszwQQAsKBV1TZVdU6SK5Kc2d1njYteNQ7XeF1VbTe27ZHkkjmbrxzbAIAZEUwAAAtad9/Y3fsmWZJk/6p6UJKXJ/mZJPsl2TnJS8fVa75drN1QVUdX1fKqWr569eoZVQ4AWwfBBACwVejua5N8LMmTunvVOFzj+0nemmT/cbWVSfacs9mSJJfNs6/ju3tZdy9bvHjxjCsHgM3jiCOOyKMe9ah89atfzZIlS3LCCSdsluOa/BIAWLCqanGSH3b3tVV15ySPT/Lqqtqtu1dVVSV5apLzxk3OSPLCqjolw6SX13X3qkmKB2CrtiGP99zU3vWud232YyaCCQBgYdstyUlVtU2GnqKndfcHq+qjY2hRSc5J8lvj+h9KclCSC5N8N8mzJ6gZALYqggkAYMHq7nOTPGye9sfeyvqd5AWzrgsAuJk5JgAAAIDJCCYAAABgAkNHvTu2TXEOggkAAADYzLbffvtcddVVd+hwortz1VVXZfvtt79d+zHHBAAAAGxmS5YsycqVK7N69eqpS7ldtt9++yxZsuR27UMwAQAAAJvZtttum/ve975Tl7FFMJQDAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYzMyDiarapqo+X1UfHD/ft6rOqqoLqurUqrrT2L7d+PnCcfnSWdcGAAAATGtz9Jg4Jsn5cz6/OsnrunvvJNckee7Y/twk13T3XkleN64HAAAALGAzDSaqakmSX07y9+PnSvLYJO8ZVzkpyVPH94eMnzMuf9y4PgAAALBAzbrHxF8m+V9JfjR+3iXJtd19w/h5ZZI9xvd7JLkkScbl143r/5iqOrqqllfV8tWrV8+ydgDgDq6qtq+qs6vqC1X1par6o7Hd0FIA2ELMLJioqqckuaK7V8xtnmfV3oBlNzd0H9/dy7p72eLFizdBpQDAAvb9JI/t7ocm2TfJk6rqgBhaCgBbjFn2mHh0koOr6uIkp2QYwvGXSXaqqkXjOkuSXDa+X5lkzyQZl98tydUzrA8AWOB6cP34cdvxp2NoKQBsMWYWTHT3y7t7SXcvTXJ4ko92928k+bckTxtXOyrJ6eP7M8bPGZd/tLtv0WMCAOC2GJ8Qdk6SK5KcmeRruZ1DSwGATWdzPJVjbS9N8rtVdWGGL/oTxvYTkuwytv9ukpdNUBsAsMB0943dvW+Gnpr7J3nAfKuNrxs0tNScVwCw6Sxa/yq3X3d/LMnHxvdfz3BRsPY630ty6OaoBwDY+nT3tVX1sSQHZBxaOvaKmG9o6cp1DS3t7uOTHJ8ky5Yt08MTAG6HKXpMAABsFlW1uKp2Gt/fOcnjk5wfQ0sBYIuxWXpMAABMZLckJ1XVNhluyJzW3R+sqi8nOaWq/iTJ5/PjQ0vfNg4tvTrDPFkAwAwJJgCABau7z03ysHnaDS0FgC2EoRwAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwDAglVVe1bVv1XV+VX1pao6Zmw/tqourapzxp+D5mzz8qq6sKq+WlVPnK56ANg6LJq6AACAGbohyYu7+3NVtWOSFVV15rjsdd392rkrV9UDkxyeZJ8kuyf516q6X3ffuFmrBoCtiB4TAMCC1d2ruvtz4/tvJzk/yR7r2OSQJKd09/e7+6IkFybZf/aVAsDWSzABAGwVqmppkoclOWtsemFVnVtVb6mqu49teyS5ZM5mKzNPkFFVR1fV8qpavnr16hlWDQALn2ACAFjwqmqHJO9N8qLu/laSNyX56ST7JlmV5M/XrDrP5n2Lhu7ju3tZdy9bvHjxjKoGgK2DYAIAWNCqatsMocQ7uvt9SdLdl3f3jd39oyRvzs3DNVYm2XPO5kuSXLY56wWArY1gAgBYsKqqkpyQ5Pzu/os57bvNWe1Xk5w3vj8jyeFVtV1V3TfJ3knO3lz1AsDWyFM5AICF7NFJnpnki1V1ztj2+0mOqKp9MwzTuDjJ85Kku79UVacl+XKGJ3q8wBM5AGC2BBMAwILV3Z/I/PNGfGgd27wqyatmVhQA8GMM5QAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAASHnKjAAAZdUlEQVQAJiOYAAAAACYjmAAAAAAmM7Ngoqq2r6qzq+oLVfWlqvqjsf2+VXVWVV1QVadW1Z3G9u3GzxeOy5fOqjYAAABgyzDLHhPfT/LY7n5okn2TPKmqDkjy6iSv6+69k1yT5Lnj+s9Nck1375XkdeN6AAAAwAI2s2CiB9ePH7cdfzrJY5O8Z2w/KclTx/eHjJ8zLn9cVdWs6gMAAACmN9M5Jqpqm6o6J8kVSc5M8rUk13b3DeMqK5PsMb7fI8klSTIuvy7JLrOsDwAAAJjWTIOJ7r6xu/dNsiTJ/kkeMN9q4+t8vSN67YaqOrqqllfV8tWrV2+6YgEAAIDNbrM8laO7r03ysSQHJNmpqhaNi5YkuWx8vzLJnkkyLr9bkqvn2dfx3b2su5ctXrx41qUDAAAAMzTLp3Isrqqdxvd3TvL4JOcn+bckTxtXOyrJ6eP7M8bPGZd/tLtv0WMCAAAAWDgWrX+VjbZbkpOqapsMAchp3f3BqvpyklOq6k+SfD7JCeP6JyR5W1VdmKGnxOEzrA0AAADYAswsmOjuc5M8bJ72r2eYb2Lt9u8lOXRW9QAAAABbns0yxwQAAADAfAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQEEwAAAMBkBBMAAADAZAQTAAAAwGQ2KJioqkdvSBsAAADAbbGhPSbeuIFtAAAAABts0boWVtWjkvxsksVV9btzFt01yTazLAwAYI2q+kh3P259bQDAHc86g4kkd0qyw7jejnPav5XkabMqCgAgSapq+yQ/mWTXqrp7khoX3TXJ7pMVBgBsMusMJrr740k+XlUndvd/bqaaAADWeF6SF2UIIVbk5mDiW0n+en0bV9WeSU5Ocq8kP0pyfHe/vqp2TnJqkqVJLk7y9O6+pqoqyeuTHJTku0me1d2f25QnBAD8uPX1mFhju6o6PsOX903bdPdjZ1EUAECSdPfrk7y+qn6nuzdmfqsbkry4uz9XVTsmWVFVZyZ5VpKPdPdxVfWyJC9L8tIkT06y9/jzyCRvGl8BgBnZ0GDi3Un+NsnfJ7lxduUAANxSd7+xqn42t7xJcvJ6tluVZNX4/ttVdX6SPZIckuTAcbWTknwsQzBxSJKTu7uTfKaqdqqq3cb9AAAzsKHBxA3d/aaZVgIAcCuq6m1JfjrJObn5JklnGKaxoftYmuRhSc5Kcs81YUN3r6qqe4yr7ZHkkjmbrRzbBBMAMCMbGkx8oKqen+T9Sb6/prG7r55JVQAAP25ZkgeOPRlus6raIcl7k7you781TCUx/6rztN3imFV1dJKjk+Te9773xpQEAIw2NJg4anx9yZy2TvJTm7YcAIB5nZdhAsvb3HOhqrbNEEq8o7vfNzZfvmaIRlXtluSKsX1lkj3nbL4kyWVr77O7j09yfJIsW7Zso8ISAGCwQcFEd9931oUAAKzDrkm+XFVn58d7bx68ro3Gp2yckOT87v6LOYvOyHDj5bjx9fQ57S+sqlMyTHp5nfklAGC2NiiYqKoj52tf34RTAACbyLEbud2jkzwzyRer6pyx7fczBBKnVdVzk3wjyaHjsg9leFTohRkeF/rsjS0YANgwGzqUY78577dP8rgkn8ttmHAKAGBjdffHN3K7T2T+eSOS4Xpm7fU7yQs25lgAwMbZ0KEcvzP3c1XdLcnbZlIRAMBaqurbuXkSyjsl2TbJd7r7rtNVBQBsChvaY2Jt302y96YsBADg1nT3jnM/V9VTk+w/UTkAwCa0oXNMfCA336XYJskDkpw2q6IAANalu/+hql42dR0AwO23oT0mXjvn/Q1J/rO7V86gHgCAW6iq/zbn408kWZabb5oAAHdgGzrHxMer6p65eRLMC2ZXEgDALfzKnPc3JLk4ySHTlAIAbEobOpTj6Ulek+RjGWa2fmNVvaS73zPD2gAAkiTd7bGdALBAbehQjv+dZL/uviJJqmpxkn9NIpgAAGauqpYkeWOSR2cYwvGJJMcYWgoAd3w/saHrrQklRlfdhm0BAG6vtyY5I8nuSfZI8oGxDQC4g9vQHhMfrqp/TvKu8fNhST40m5IAAG5hcXfPDSJOrKoXTVYNALDJrDOYqKq9ktyzu18yzob9cxnmmPh0kndshvoAAJLkyqp6Rm6+SXJEhh6cAMAd3PqGY/xlkm8nSXe/r7t/t7v/Z4beEn856+IAAEbPSfL0JN9MsirJ05KYEBMAFoD1DeVY2t3nrt3Y3curaulMKgIAuKU/TnJUd1+TJFW1c5LXZggsAIA7sPX1mNh+HcvuvCkLAQBYh4esCSWSpLuvTvKwCesBADaR9QUTn62q31y7saqem2TFbEoCALiFn6iqu6/5MPaY2NBJvAGALdj6vtBflOT9VfUbuTmIWJbkTkl+dZaFAQDM8edJPlVV70nSGeabeNW0JQEAm8I6g4nuvjzJz1bVLyZ50Nj8j9390ZlXBgAw6u6Tq2p5ksdmeELYf+vuL09cFgCwCWxQF8ju/rck/zbjWgAAbtUYRAgjAGCBWd8cEwAAAAAzI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAmI5gAAAAAJiOYAAAAACYjmAAAAAAms2jqAoDb6OKauoI7lqU9dQUAAMA66DEBAAAATEYwAQAAAExGMAEAAABMRjABAAAATEYwAQAAAExGMAEAAABMRjABAAAATEYwAQAAAExmZsFEVe1ZVf9WVedX1Zeq6pixfeeqOrOqLhhf7z62V1W9oaourKpzq+rhs6oNAAAA2DLMssfEDUle3N0PSHJAkhdU1QOTvCzJR7p77yQfGT8nyZOT7D3+HJ3kTTOsDQAAANgCzCyY6O5V3f258f23k5yfZI8khyQ5aVztpCRPHd8fkuTkHnwmyU5Vtdus6gMAFr6qektVXVFV581pO7aqLq2qc8afg+Yse/nYe/OrVfXEaaoGgK3LZpljoqqWJnlYkrOS3LO7VyVDeJHkHuNqeyS5ZM5mK8c2AICNdWKSJ83T/rru3nf8+VCSjD07D0+yz7jN31TVNputUgDYSs08mKiqHZK8N8mLuvtb61p1nraeZ39HV9Xyqlq+evXqTVUmALAAdfe/J7l6A1c/JMkp3f397r4oyYVJ9p9ZcQBAkhkHE1W1bYZQ4h3d/b6x+fI1QzTG1yvG9pVJ9pyz+ZIkl629z+4+vruXdfeyxYsXz654AGAhe+E42fZb1kzEHb03AWASs3wqRyU5Icn53f0XcxadkeSo8f1RSU6f037k+HSOA5Jct2bIBwDAJvSmJD+dZN8kq5L8+di+Qb03Ez04AWBTmmWPiUcneWaSx641udRxSX6pqi5I8kvj5yT5UJKvZ+g2+eYkz59hbQDAVqq7L+/uG7v7RxmuOdYM19ig3pvjPvTgBIBNZNGsdtzdn8j8dx6S5HHzrN9JXjCregAAkmEo6Zxemb+aZM0TO85I8s6q+osku2d4hPnZE5QIAFuVmQUTAABTq6p3JTkwya5VtTLJK5IcWFX7ZhimcXGS5yVJd3+pqk5L8uUkNyR5QXffOEXdALA1EUwAAAtWdx8xT/MJ61j/VUleNbuKAIC1zfxxoQAAAAC3RjABAAAATEYwAQAAAExGMAEAAABMRjABAAAATEYwAQAAAExGMAEAAABMZtHUBQCw5TjvvPOmLuEO50EPetDUJQAA3KHpMQEAAABMRjABAAAATMZQDgAANptvvPLBU5ew2d37D784dQkAWzQ9JgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMksmroAAAAA2NJ945UPnrqEze7ef/jFzXIcPSYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgAAAIDJCCYAAACAyQgmAAAAgMkIJgCABauq3lJVV1TVeXPadq6qM6vqgvH17mN7VdUbqurCqjq3qh4+XeUAsPUQTAAAC9mJSZ60VtvLknyku/dO8pHxc5I8Ocne48/RSd60mWoEgK2aYAIAWLC6+9+TXL1W8yFJThrfn5TkqXPaT+7BZ5LsVFW7bZ5KAWDrJZgAALY29+zuVUkyvt5jbN8jySVz1ls5tt1CVR1dVcuravnq1atnWiwALHSCCQCAQc3T1vOt2N3Hd/ey7l62ePHiGZcFAAubYAIA2NpcvmaIxvh6xdi+Msmec9ZbkuSyzVwbAGx1BBMAwNbmjCRHje+PSnL6nPYjx6dzHJDkujVDPgCA2Vk0dQEAALNSVe9KcmCSXatqZZJXJDkuyWlV9dwk30hy6Lj6h5IclOTCJN9N8uzNXjBsQo94yclTl7DZrXjNkVOXAGwEwQQAsGB19xG3suhx86zbSV4w24oAgLUZygEAAABMRjABAAAATEYwAQAAAExGMAEAAABMRjABAAAATEYwAQAAAExGMAEAAABMRjABAAAATEYwAQAAAExm0dQFAAAAbArfeOWDpy5hs7v3H35x6hLgdtNjAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJiMYAIAAACYjGACAAAAmIxgAgAAAJjMoqkLAADYWj3iJSdPXcJm9/4dp64AgC3NzHpMVNVbquqKqjpvTtvOVXVmVV0wvt59bK+qekNVXVhV51bVw2dVFwAAALDlmOVQjhOTPGmttpcl+Uh3753kI+PnJHlykr3Hn6OTvGmGdQEAAABbiJkFE93970muXqv5kCQnje9PSvLUOe0n9+AzSXaqqt1mVRsAAACwZdjck1/es7tXJcn4eo+xfY8kl8xZb+XYdgtVdXRVLa+q5atXr55psQAAAMBsbSlP5ah52nq+Fbv7+O5e1t3LFi9ePOOyAAAAgFna3MHE5WuGaIyvV4ztK5PsOWe9JUku28y1AQAAAJvZ5g4mzkhy1Pj+qCSnz2k/cnw6xwFJrlsz5AMAAABYuBbNasdV9a4kBybZtapWJnlFkuOSnFZVz03yjSSHjqt/KMlBSS5M8t0kz55VXQAAAMCWY2bBRHcfcSuLHjfPup3kBbOqBQAAANgybSmTXwIAAABbIcEEAAAAMBnBBAAAADAZwQQAAAAwGcEEAAAAMBnBBAAAADAZwQQAAAAwGcEEAAAAMBnBBAAAADAZwQQAAAAwGcEEAAAAMBnBBAAAADAZwQQAAAAwGcEEAAAAMBnBBAAAADAZwQQAAAAwGcEEAAAAMBnBBAAAADAZwQQAAAAwmUVTFwAAMIWqujjJt5PcmOSG7l5WVTsnOTXJ0iQXJ3l6d18zVY0AsDXQYwIA2Jr9Ynfv293Lxs8vS/KR7t47yUfGzwDADAkmAABudkiSk8b3JyV56oS1AMBWQTABAGytOsm/VNWKqjp6bLtnd69KkvH1HpNVBwBbCXNMAABbq0d392VVdY8kZ1bVVzZ0wzHIODpJ7n3ve8+qPgDYKugxAQBslbr7svH1iiTvT7J/ksurarckGV+vuJVtj+/uZd29bPHixZurZABYkAQTAMBWp6ruUlU7rnmf5AlJzktyRpKjxtWOSnL6NBUCwNbDUA4AYGt0zyTvr6pkuB56Z3d/uKo+m+S0qnpukm8kOXTCGgFgqyCYAAC2Ot399SQPnaf9qiSP2/wVAcDWy1AOAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAGAyggkAAABgMoIJAAAAYDKCCQAAAPj/7d1/yO5nXQfw95uzWZNJooZ/6Fo/FGqe1pHKFCOGCS0T7J+kUJZBilBmVOAwaiplRBGoSSRsLESL3IxERv5R1obV1HJnPxiCSv4oZ6wldnA4tz7+8dxnHc6Ov9q5n+s+93m94IHn/t7fc3h/ea7vfa7nfa77ullGMQEAAAAso5gAAAAAllFMAAAAAMsoJgAAAIBlFBMAAADAMooJAAAAYBnFBAAAALCMYgIAAABYRjEBAAAALKOYAAAAAJZRTAAAAADLKCYAAACAZRQTAAAAwDKKCQAAAGAZxQQAAACwjGICAAAAWEYxAQAAACyjmAAAAACWUUwAAAAAyygmAAAAgGUUEwAAAMAyigkAAABgGcUEAAAAsIxiAgAAAFhmp4qJtle2/Wjbj7W9enUeAOD8Yz4CAIdrZ4qJtkeSvDXJTya5LMnPtb1sbSoA4HxiPgIAh29niokkz0rysZn5xMw8kOQvkrxocSYA4PxiPgIAh2yXiomnJPn0KY8/szkGAHBYzEcA4JBdsDrAKXqGY/OIk9pXJHnF5uGJth/daqr98qQk964O8QivP9OPnnPQbo6vM760cI7a0TG2sy5dHeAcZT6yZZeej/fyNf4tOizGF9tkfH3TvuG5yC4VE59Jcskpj5+a5D9OP2lm3pbkbYcVap+0/fDM/NDqHOwn44ttM8Y4JOYjW+ZeZpuML7bJ+NqeXXorx4eSPL3td7V9TJKfTfKexZkAgPOL+QgAHLKdWTExMw+2/eUk70tyJMl1M3PX4lgAwHnEfAQADt/OFBNJMjM3JblpdY49Zskp22R8sW3GGIfCfGTr3Mtsk/HFNhlfW9KZR+znBAAAAHAodmmPCQAAAOA8o5gAAGDr2l7X9j/b3rk6C/un7SVt39/27rZ3tX316kzsj7bf2vaDbY9vxtfrV2faN4qJPdb2WW1/ePP9ZW1/re0LVucC+Hrafm/bH2978WnHr1yVCXjUrk/iHmZbHkzy6zPzfUmeneSX2l62OBP740tJnjczP5DkWJIr2z57caa9opjYU22vSfLmJH/S9veS/HGSi5Nc3fY3l4Zjr7X9hdUZOLe1/ZUkf53kVUnubPuiU55+45pUwKM1MzcnuW91DvbTzHx2Zv518/3/JLk7yVPWpmJfzIETm4cXbr5s1ngW2fxyT7W9Iwdt3rckuSfJU2fmC20vSnLrzFy+NCB7q+2nZuY7Vufg3LV5/XrOzJxo+51Jbkjy9pl5U9uPzMwzlwYE/t829/R7Z+bo4ijssc04uznJ0Zn5wto07Iu2R5L8S5KnJXnrzLxmcaS9slMfF8pZ9eDMPJTki20/fvJFeWbub/u/i7Nxjmt7+1d7KsmTDzMLe+nIyf+VmJl/a3tFkhvaXpqDMQYAZ7R5C+CNSX5VKcHZtPnd6ljbxyf5q7ZHZ8aeOWeJYmJ/PdD2sTPzxSQ/ePJg229Lopjg0Xpykp9I8t+nHW+Sfzz8OOyZe9oem5nbkmSzcuKFSa5L8v1rowGwq9pemINS4h0z8+7VedhPM/P5tn+fgz1zFBNniWJif/3YzHwpSWbm1CLiwiQ/vyYSe+S9SS4++YvjqTYv1PBoXJWDTcweNjMPJrmq7Z+uiQTALmvbJNcmuXtm/mh1HvZL229P8uVNKXFRkucn+f3FsfaKPSYAANi6tn+e5IokT0ryuSTXzMy1S0OxN9r+aJJbktyR/1sd/NqZuWldKvZF28uT/FmSIzn4AIm/nJk3rE21XxQTAAAAwDI+LhQAAABYRjEBAAAALKOYAAAAAJZRTAAAAADLKCYAAACAZRQTAADATmn7UNvb2t7Z9l1tH/s1zn1d2984zHzA2aWYAAAAds39M3NsZo4meSDJK1cHArZHMQEAAOyyW5I8LUnaXtX29rbH27799BPbvrzthzbP33hypUXbn9msvjje9ubNsWe0/eBmZcbtbZ9+qFcFPKwzszoDAADAw9qemJmL216Q5MYkf5Pk5iTvTvLcmbm37RNm5r62r0tyYmb+sO0TZ+a/Nn/H7yT53My8pe0dSa6cmX9v+/iZ+XzbtyT555l5R9vHJDkyM/cvuWA4z1kxAQAA7JqL2t6W5MNJPpXk2iTPS3LDzNybJDNz3xn+3NG2t2yKiJckecbm+AeSXN/25UmObI79U5LXtn1NkkuVErDOBasDAAAAnOb+mTl26oG2TfL1lntfn+SnZ+Z425cluSJJZuaVbX8kyU8lua3tsZl5Z9tbN8fe1/YXZ+bvzvJ1AN8AKyYAAIBzwd8meXHbJyZJ2yec4ZzHJfls2wtzsGIim3O/Z2ZunZnfTnJvkkvafneST8zMm5O8J8nlW78C4IysmAAAAHbezNzV9neT/EPbh5J8JMnLTjvtt5LcmuSTSe7IQVGRJH+w2dyyOSg4jie5OslL2345yT1J3rD1iwDOyOaXAAAAwDLeygEAAAAso5gAAAAAllFMAAAAAMsoJgAAAIBlFBMAAADAMooJAAAAYBnFBAAAALCMYgIAAABY5iuUPc1MvZsB+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1296x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pclass별 생존 비율 (Pclass란 1, 2, 3등석 정보)\n",
    "\n",
    "f,ax=plt.subplots(1,2,figsize=(18,8))\n",
    "train['Pclass'].value_counts().plot.bar(color=['#CD7F32','#FFDF00','#D3D3D3'],ax=ax[0])\n",
    "ax[0].set_title('Number Of Passengers By Pclass')\n",
    "ax[0].set_ylabel('Count')\n",
    "sns.countplot('Pclass',hue='Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('Pclass:Survived vs Dead')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 430.5x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pclass별 남녀 생존률 비교\n",
    "sns.factorplot('Pclass','Survived',hue='Sex',data=train)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Oldest Passenger was of: 80.0 Years\n",
      "Youngest Passenger was of: 0.42 Years\n",
      "Average Age on the ship: 29.70 Years\n"
     ]
    }
   ],
   "source": [
    "# 나이 (연속변수) / Pclass 별 생존률\n",
    "\n",
    "print('Oldest Passenger was of:', train['Age'].max(),'Years')\n",
    "print('Youngest Passenger was of:', train['Age'].min(),'Years')\n",
    "print('Average Age on the ship: {:0.2f} Years'.format(train['Age'].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,2,figsize=(18,8))\n",
    "sns.violinplot(\"Pclass\",\"Age\", hue=\"Survived\", data=train,split=True,ax=ax[0])\n",
    "ax[0].set_title('Pclass and Age vs Survived')\n",
    "ax[0].set_yticks(range(0,110,10))\n",
    "sns.violinplot(\"Sex\",\"Age\", hue=\"Survived\", data=train,split=True,ax=ax[1])\n",
    "ax[1].set_title('Sex and Age vs Survived')\n",
    "ax[1].set_yticks(range(0,110,10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(1,2,figsize=(20,10))\n",
    "train[train['Survived']==0].Age.plot.hist(ax=ax[0],bins=20,edgecolor='black',color='red')\n",
    "ax[0].set_title('Survived= 0')\n",
    "x1=list(range(0,85,5))\n",
    "ax[0].set_xticks(x1)\n",
    "train[train['Survived']==1].Age.plot.hist(ax=ax[1],color='green',bins=20,edgecolor='black')\n",
    "ax[1].set_title('Survived= 1')\n",
    "x2=list(range(0,85,5))\n",
    "ax[1].set_xticks(x2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 출항 항구별 생존률   C(Cherbourg), Q(Queenstown), S(Southampton)\n",
    "sns.factorplot('Embarked','Survived',data=train)\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(5,3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# SibSp (Sibling and Spouse 함께 탑승한 형제 또는 배우자의 수)\n",
    "f,ax=plt.subplots(1,2,figsize=(20,8))\n",
    "sns.barplot('SibSp','Survived',data=train,ax=ax[0])\n",
    "ax[0].set_title('SibSp vs Survived')\n",
    "sns.factorplot('SibSp','Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('SibSp vs Survived')\n",
    "plt.close(2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Parch 함께 탑승한 부모 또는 자녀의 수\n",
    "\n",
    "f,ax=plt.subplots(1,2,figsize=(20,8))\n",
    "sns.barplot('Parch','Survived',data=train,ax=ax[0])\n",
    "ax[0].set_title('Parch vs Survived')\n",
    "sns.factorplot('Parch','Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('Parch vs Survived')\n",
    "plt.close(2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature들 간의 관계\n",
    "sns.heatmap(train.corr(),annot=True,cmap='RdYlGn',linewidths=0.2) #data.corr()-->correlation matrix\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(10,8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2: Feature Engineering\n",
    "\n",
    "Feature 변형을 통해서 모형의 **정확도**를 높이는 작업"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age            177\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Cabin          687\n",
       "Embarked         2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 널값 확인\n",
    "train.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col9 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col10 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col11 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col12 {\n",
       "            background-color:  #008066;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col13 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col14 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col15 {\n",
       "            background-color:  #008066;\n",
       "        }    #T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col16 {\n",
       "            background-color:  #008066;\n",
       "        }</style>  \n",
       "<table id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"index_name level0\" >Initial</th> \n",
       "        <th class=\"col_heading level0 col0\" >Capt</th> \n",
       "        <th class=\"col_heading level0 col1\" >Col</th> \n",
       "        <th class=\"col_heading level0 col2\" >Countess</th> \n",
       "        <th class=\"col_heading level0 col3\" >Don</th> \n",
       "        <th class=\"col_heading level0 col4\" >Dr</th> \n",
       "        <th class=\"col_heading level0 col5\" >Jonkheer</th> \n",
       "        <th class=\"col_heading level0 col6\" >Lady</th> \n",
       "        <th class=\"col_heading level0 col7\" >Major</th> \n",
       "        <th class=\"col_heading level0 col8\" >Master</th> \n",
       "        <th class=\"col_heading level0 col9\" >Miss</th> \n",
       "        <th class=\"col_heading level0 col10\" >Mlle</th> \n",
       "        <th class=\"col_heading level0 col11\" >Mme</th> \n",
       "        <th class=\"col_heading level0 col12\" >Mr</th> \n",
       "        <th class=\"col_heading level0 col13\" >Mrs</th> \n",
       "        <th class=\"col_heading level0 col14\" >Ms</th> \n",
       "        <th class=\"col_heading level0 col15\" >Rev</th> \n",
       "        <th class=\"col_heading level0 col16\" >Sir</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >Sex</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14level0_row0\" class=\"row_heading level0 row0\" >female</th> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col0\" class=\"data row0 col0\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col1\" class=\"data row0 col1\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col2\" class=\"data row0 col2\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col3\" class=\"data row0 col3\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col4\" class=\"data row0 col4\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col5\" class=\"data row0 col5\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col6\" class=\"data row0 col6\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col7\" class=\"data row0 col7\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col8\" class=\"data row0 col8\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col9\" class=\"data row0 col9\" >182</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col10\" class=\"data row0 col10\" >2</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col11\" class=\"data row0 col11\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col12\" class=\"data row0 col12\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col13\" class=\"data row0 col13\" >125</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col14\" class=\"data row0 col14\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col15\" class=\"data row0 col15\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row0_col16\" class=\"data row0 col16\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14level0_row1\" class=\"row_heading level0 row1\" >male</th> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col0\" class=\"data row1 col0\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col1\" class=\"data row1 col1\" >2</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col2\" class=\"data row1 col2\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col3\" class=\"data row1 col3\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col4\" class=\"data row1 col4\" >6</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col5\" class=\"data row1 col5\" >1</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col6\" class=\"data row1 col6\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col7\" class=\"data row1 col7\" >2</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col8\" class=\"data row1 col8\" >40</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col9\" class=\"data row1 col9\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col10\" class=\"data row1 col10\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col11\" class=\"data row1 col11\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col12\" class=\"data row1 col12\" >517</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col13\" class=\"data row1 col13\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col14\" class=\"data row1 col14\" >0</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col15\" class=\"data row1 col15\" >6</td> \n",
       "        <td id=\"T_55da2db8_fd0e_11e8_b5a8_021541856f14row1_col16\" class=\"data row1 col16\" >1</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2119d8c5a90>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Initial']=0\n",
    "for i in train:\n",
    "    train['Initial']=train.Name.str.extract('([A-Za-z]+)\\.') #lets extract the Salutations\n",
    "pd.crosstab(train.Initial, train.Sex).T.style.background_gradient(cmap='summer_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 주요한 이니셜로 대체해 준다.\n",
    "train['Initial'].replace(['Mlle','Mme','Ms','Dr','Major','Lady','Countess','Jonkheer','Col','Rev','Capt','Sir','Don'],\n",
    "                        ['Miss','Miss','Miss','Mr','Mr','Mrs','Mrs','Other','Other','Other','Mr','Mr','Mr'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Initial\n",
       "Master     4.574167\n",
       "Miss      21.860000\n",
       "Mr        32.739609\n",
       "Mrs       35.981818\n",
       "Other     45.888889\n",
       "Name: Age, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.groupby('Initial')['Age'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.loc[(train.Age.isnull())&(train.Initial=='Mr'),'Age']=33\n",
    "train.loc[(train.Age.isnull())&(train.Initial=='Mrs'),'Age']=36\n",
    "train.loc[(train.Age.isnull())&(train.Initial=='Master'),'Age']=5\n",
    "train.loc[(train.Age.isnull())&(train.Initial=='Miss'),'Age']=22\n",
    "train.loc[(train.Age.isnull())&(train.Initial=='Other'),'Age']=46\n",
    "\n",
    "train.Age.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Initial</th>\n",
       "      <th>Age_band</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked Initial  Age_band  \n",
       "0      0         A/5 21171   7.2500   NaN        S      Mr         1  \n",
       "1      0          PC 17599  71.2833   C85        C     Mrs         2  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S    Miss         1  \n",
       "3      0            113803  53.1000  C123        S     Mrs         2  \n",
       "4      0            373450   8.0500   NaN        S      Mr         2  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Age -> Age Band\n",
    "train['Age_band']=0\n",
    "train.loc[train['Age']<=16,'Age_band']=0\n",
    "train.loc[(train['Age']>16)&(train['Age']<=32),'Age_band']=1\n",
    "train.loc[(train['Age']>32)&(train['Age']<=48),'Age_band']=2\n",
    "train.loc[(train['Age']>48)&(train['Age']<=64),'Age_band']=3\n",
    "train.loc[train['Age']>64,'Age_band']=4\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot('Age_band','Survived',data=train,col='Pclass')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age              0\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Cabin          687\n",
       "Embarked         2\n",
       "Initial          0\n",
       "Age_band         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XS/1HX9cKQ50hH/f2dCHSpX0P8910fcr/HNjnpHSLn9+Wrn975cAaQSuq4Vfp1hn69/6UrlWuwdRaOyPJ+9N9ocgN6RbHXtVaVuMZ+8a5sZ93rMYxxnw1XeBzdf/zkX7800ken27W0bnpXrcJaa3dl+7LVJ6Y5Ev97K+Vvee+mOT/JvlRukXFx5uJB9NKtZWuQwuwdqhuYcbLkqzfugWrAQCYoKo6LMkOrbU/m+pagLWHmUrAWquq/lt/et2m6Wbr/G+BEgAAwOQQKgFrs79Mdx7/VenWP1rV+kQAAACsIU5/AwAAAGBoZioBAAAAMLRZU13Ao7HFFlu0efPmTXUZAMCILF68+ObW2pyproOH04MBwMw20R5srQ6V5s2bl0WLVvRNogDA2q6qfjHVNfBIejAAmNkm2oM5/Q0AAACAoQmVAAAAABiaUAkAAACAoa3VayoBAAAATMT999+fJUuW5J577pnqUqaNDTbYIHPnzs166623WvcXKgEAAAAz3pIlS7Lxxhtn3rx5qaqpLmfKtdZyyy23ZMmSJdl+++1X6xhOfwMAAABmvHvuuSebb765QKlXVdl8880f1cwtoRIAAADwmCBQerhH+3oIlQAAAAAYmlAJAAAAYA366Ec/mp133jm77rprdt9995x33nlTXdJIWKgbAAAAYA0555xzcsopp+TCCy/M+uuvn5tvvjn33XffVJc1EmYqAQAAAKwhN9xwQ7bYYousv/76SZItttgiW2+9dRYvXpzf+73fyx577JF99tknN9xwQ5YtW5ZnPvOZOeuss5Ikf/M3f5P3vve9U1j9cIRKAAAAAGvIH/zBH+S6667Lk5/85LzlLW/Jv/7rv+b+++/PW9/61pxwwglZvHhx3vjGN+a9731vZs2alWOOOSZvfvObc/rpp+e73/1uPvjBD071U5gwp78BAAAArCEbbbRRFi9enB/84Ac588wz8+pXvzrve9/7ctlll+WFL3xhkuSBBx7IVlttlSTZeeed87rXvS4ve9nLcs455+Rxj3vcVJY/FKESAAAAwBq07rrrZs8998yee+6ZXXbZJf/4j/+YnXfeOeecc864+1966aWZPXt2brzxxkmu9NF5zIdKexxy3FSXwDS1+BP7T3UJADBj6cEeoucAmFl+9rOfZZ111sn8+fOTJBdffHF22mmnnHbaaTnnnHPy3Oc+N/fff39+/vOfZ+edd843v/nN3HLLLTn77LPz0pe+NOeff35mz549xc9iYh7zoRIAAADAmnLXXXflrW99a26//fbMmjUrO+ywQ4466qgsXLgwb3vb23LHHXdk2bJlOfjgg7Plllvm0EMPzRlnnJFtt902f/VXf5W3v/3tOfbYY6f6aUyIUAkAAABgDdljjz3ywx/+8BHjW2yxRc4+++xHjP/85z9/8Prb3va2kda2pvn2NwAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGizproAAAAAgMm2xyHHrdHjLf7E/mv0eMs766yzcvjhh+eUU04Z6eMMw0wlAAAAAIYmVAIAAACYBNdcc0123HHH/Pmf/3me9rSn5bWvfW2+973v5fnPf37mz5+f888/P+eff36e97zn5elPf3qe97zn5Wc/+9kjjnP33XfnjW98Y575zGfm6U9/ek466aQpeDZCJQAAAIBJc+WVV+btb397Lrnkkvz0pz/NV7/61fzbv/1bDj/88HzsYx/LjjvumLPPPjsXXXRRPvShD+U973nPI47x0Y9+NHvttVcuuOCCnHnmmTnkkENy9913T/pzsaYSAAAAwCTZfvvts8suuyRJdt555+y9996pquyyyy655pprcscdd+SAAw7IFVdckarK/fff/4hjnHbaaTn55JNz+OGHJ0nuueeeXHvttdlpp50m9bkIlQAAAAAmyfrrr//g9XXWWefB2+uss06WLVuW97///XnBC16Qb33rW7nmmmuy5557PuIYrbWceOKJecpTnjJZZY/L6W8AAAAA08Qdd9yRbbbZJklyzDHHjLvPPvvskyOOOCKttSTJRRddNFnlPYyZSgAAAMBjzuJP7D/VJYzr3e9+dw444IB88pOfzF577TXuPu9///tz8MEHZ9ddd01rLfPmzcspp5wyyZUKlQAAAAAmxbx583LZZZc9eHtwJtLgtp///OcPjn/4wx9Okuy5554Pngr3+Mc/Pl/4whdGX/AqjPT0t6qaXVUnVNVPq+ryqnpuVW1WVadX1RX95ab9vlVVn6mqK6vqkqp6xihrAwAAAGD1jXpNpX9I8t3W2o5JdktyeZJDk5zRWpuf5Iz+dpK8OMn8/mdhkiNHXBsAAAAAq2lkoVJVbZLkvyY5Oklaa/e11m5Psm+SY/vdjk3yiv76vkmOa51zk8yuqq1GVR8AAAAAq2+UM5V+J8nSJF+uqouq6p+q6reSbNlauyFJ+ssn9vtvk+S6gfsv6ccepqoWVtWiqlq0dOnSEZYPAAAAwIqMMlSaleQZSY5srT09yd156FS38dQ4Y+0RA60d1Vpb0FpbMGfOnDVTKQAAAABDGWWotCTJktbaef3tE9KFTDeOndbWX940sP+2A/efm+T6EdYHAAAAwGqaNaoDt9b+s6quq6qntNZ+lmTvJD/pfw5I8vH+8qT+Licn+auq+lqSZye5Y+w0OQAAAIA16doP7bJGj7fdBy5d5T6f+cxncuSRR+YZz3hGvvKVr6zRx0+Sww47LBtttFHe9a53rfFjj2dkoVLvrUm+UlWPS3J1kjekmx31jao6MMm1Sfbr9z01yUuSXJnkV/2+AAAAADPC5z73uXznO9/J9ttvP9WlrBEjDZVaaxcnWTDOpr3H2bclOWiU9QAAPFZU1bpJFiX5j9baS6tq+yRfS7JZkguTvK61dl9VrZ/kuCR7JLklyatba9dMUdkAMGO96U1vytVXX52Xv/zlec1rXpOrrroql156aZYtW5bDDjss++67b4455ph8+9vfzgMPPJDLLrss73znO3Pffffl+OOPz/rrr59TTz01m222Wb74xS/mqKOOyn333Zcddtghxx9/fDbccMOHPd5VV12Vgw46KEuXLs2GG26YL37xi9lxxx3X6HMa5ZpKAABMnbcnuXzg9t8l+VRrbX6S25Ic2I8fmOS21toOST7V7wcArGGf//zns/XWW+fMM8/M3Xffnb322isXXHBBzjzzzBxyyCG5++67kySXXXZZvvrVr+b888/Pe9/73my44Ya56KKL8tznPjfHHXdckuSVr3xlLrjggvzoRz/KTjvtlKOPPvoRj7dw4cIcccQRWbx4cQ4//PC85S1vWePPadSnvwEAMMmqam6SP0zy0STvqKpKsleSP+13OTbJYUmOTLJvfz3pvljls1VV/SxyAGAETjvttJx88sk5/PDDkyT33HNPrr322iTJC17wgmy88cbZeOON84QnPCEve9nLkiS77LJLLrnkkiRd8PS+970vt99+e+66667ss88+Dzv+XXfdlR/+8IfZb7/9Hhy799571/jzECoBAMw8n07y7iQb97c3T3J7a21Zf3tJkm3669skuS5JWmvLquqOfv+bBw9YVQuTLEyS7bbbbqTFA8BM11rLiSeemKc85SkPGz/vvPOy/vrrP3h7nXXWefD2Ouusk2XLuj/lr3/96/Ptb387u+22W4455picddZZDzvOb37zm8yePTsXX3zxSJ+H098AAGaQqnppkptaa4sHh8fZtU1g20MDrR3VWlvQWlswZ86cNVApADx27bPPPjniiCMyNjH4oosuGur+d955Z7baaqvcf//9436L3CabbJLtt98+//Iv/5KkC7F+9KMfPfrCl2OmEgDAzPL8JC+vqpck2SDJJulmLs2uqln9bKW5Sa7v91+SZNskS6pqVpInJLl18ssGgMm13QcunbLHfv/735+DDz44u+66a1prmTdvXk455ZQJ3//DH/5wnv3sZ+dJT3pSdtlll9x5552P2OcrX/lK3vzmN+cjH/lI7r///rzmNa/JbrvttiafRmptPl1+wYIFbdGiRY/qGHscctwaqoaZZvEn9p/qEgAe86pqcWttvG+SZQKqas8k7+q//e1fkpzYWvtaVX0+ySWttc9V1UFJdmmtvamqXpPkla21V63suHqwNUvPATA5Lr/88uy0005TXca0M97rMtEezOlvAACPDX+dbtHuK9OtmTT2NTFHJ9m8H39HkkOnqD4AYC3j9DcAgBmqtXZWkrP661cnedY4+9yTZL/lxwEAVsVMJQAAAOAxYW1eAmgUHu3rIVQCAAAAZrwNNtggt9xyi2Cp11rLLbfckg022GC1j+H0NwAAAGDGmzt3bpYsWZKlS5dOdSnTxgYbbJC5c+eu9v2FSgAAAMCMt95662X77bef6jJmFKe/AQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADC0kYZKVXVNVV1aVRdX1aJ+bLOqOr2qrugvN+3Hq6o+U1VXVtUlVfWMUdYGAAAAwOqbjJlKL2it7d5aW9DfPjTJGa21+UnO6G8nyYuTzO9/FiY5chJqAwAAAGA1TMXpb/smOba/fmySVwyMH9c65yaZXVVbTUF9AAAAAKzCqEOlluS0qlpcVQv7sS1bazckSX/5xH58myTXDdx3ST/2MFW1sKoWVdWipUuXjrB0AAAAAFZk1oiP//zW2vVV9cQkp1fVT1eyb40z1h4x0NpRSY5KkgULFjxiOwAAAACjN9KZSq216/vLm5J8K8mzktw4dlpbf3lTv/uSJNsO3H1ukutHWR8AAAAAq2dkoVJV/VZVbTx2PckfJLksyclJDuh3OyDJSf31k5Ps338L3HOS3DF2mhwAAAAA08soT3/bMsm3qmrscb7aWvtuVV2Q5BtVdWCSa5Ps1+9/apKXJLkyya+SvGGEtQEAAADwKIwsVGqtXZ1kt3HGb0my9zjjLclBo6oHAAAAgDVn1N/+BgAAAMAMJFQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGJlQCAJhBqmqDqjq/qn5UVT+uqv/Rj29fVedV1RVV9fWqelw/vn5/+8p++7yprB8AWHsIlQAAZpZ7k+zVWtstye5JXlRVz0nyd0k+1Vqbn+S2JAf2+x+Y5LbW2g5JPtXvBwCwSkIlAIAZpHXu6m+u1/+0JHslOaEfPzbJK/rr+/a302/fu6pqksoFANZiQiUAgBmmqtatqouT3JTk9CRXJbm9tbas32VJkm3669skuS5J+u13JNl8nGMurKpFVbVo6dKlo34KAMBaQKgEADDDtNYeaK3tnmRukmcl2Wm83frL8WYltUcMtHZUa21Ba23BnDlz1lyxAMBaS6gEADBDtdZuT3JWkuckmV1Vs/pNc5Nc319fkmTbJOm3PyHJrZNbKQCwNhIqAQDMIFU1p6pm99cfn+T3k1ye5Mwkf9zvdkCSk/rrJ/e302//fmvtETOVAACWN2vVuwAAsBbZKsmxVbVuug8Qv9FaO6WqfpLka1X1kSQXJTm63//oJMdX1ZXpZii9ZiqKBgDWPkIlAIAZpLV2SZKnjzN+dbr1lZYfvyfJfpNQGgAwwzj9DQAAAIChCZUAAAAAGJpQCQAAAIChCZUAAAAAGJpQCQAAAIChCZUAAAAAGJpQCQAAAIChCZUAAAAAGJpQCQAAAIChjTxUqqp1q+qiqjqlv719VZ1XVVdU1der6nH9+Pr97Sv77fNGXRtSoO7sAAAgAElEQVQAAAAAq2cyZiq9PcnlA7f/LsmnWmvzk9yW5MB+/MAkt7XWdkjyqX4/AAAAAKahkYZKVTU3yR8m+af+diXZK8kJ/S7HJnlFf33f/nb67Xv3+wMAAAAwzYx6ptKnk7w7yW/625snub21tqy/vSTJNv31bZJclyT99jv6/QEAAACYZkYWKlXVS5Pc1FpbPDg8zq5tAtsGj7uwqhZV1aKlS5eugUoBAAAAGNYoZyo9P8nLq+qaJF9Ld9rbp5PMrqpZ/T5zk1zfX1+SZNsk6bc/Icmtyx+0tXZUa21Ba23BnDlzRlg+AAAAACsyslCptfY3rbW5rbV5SV6T5PuttdcmOTPJH/e7HZDkpP76yf3t9Nu/31p7xEwlAAAAAKbeZHz72/L+Osk7qurKdGsmHd2PH51k8378HUkOnYLaAAAAAJiAWave5dFrrZ2V5Kz++tVJnjXOPvck2W8y6gEAAADg0ZmKmUoAAAAArOWESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNAmFCpV1RkTGQMAYM3RgwEA09mslW2sqg2SbJhki6raNEn1mzZJsvWIawMAeEzSgwEAa4OVhkpJ/jLJwemal8V5qKH5ZZJ/HGFdAACPZXowAGDaW2mo1Fr7hyT/UFVvba0dMUk1AQA8punBAIC1wapmKiVJWmtHVNXzkswbvE9r7bgR1QUA8JinBwMAprMJhUpVdXyS301ycZIH+uGWREMDADAiejAAYDqbUKiUZEGSp7bW2iiLAQDgYfRgAMC0tc4E97ssyW+PshAAAB5BDwYATFsTnam0RZKfVNX5Se4dG2ytvXwkVQEAkOjBAIBpbKKh0mGjLAIAgHEdNtUFAACsyES//e1fR10IAAAPpwcDAKaziX77253pvmkkSR6XZL0kd7fWNhlVYQAAj3V6MABgOpvoTKWNB29X1SuSPGskFQEAkEQPBgBMbxP99reHaa19O8lea7gWAABWQg8GAEwnEz397ZUDN9dJsiAPTcUGAGAE9GAAwHQ20W9/e9nA9WVJrkmy7xqvBgCAQXowAGDamuiaSm8YdSEAADycHgwAmM4mtKZSVc2tqm9V1U1VdWNVnVhVc0ddHADAY5keDACYzia6UPeXk5ycZOsk2yT53/0YAACjowcDAKatiYZKc1prX26tLet/jkkyZ4R1AQCgBwMAprGJhko3V9WfVdW6/c+fJblllIUBAKAHAwCmr4mGSm9M8qok/5nkhiR/nMTCkQAAo6UHAwCmrQl9+1uSDyc5oLV2W5JU1WZJDk/X6AAAMBp6MABg2proTKVdx5qZJGmt3Zrk6aMpCQCAnh4MAJi2JhoqrVNVm47d6D8lm+gsJwAAVo8eDACYtibalPx9kh9W1QlJWrpz+z86sqoAAEj0YADANDahUKm1dlxVLUqyV5JK8srW2k9GWhkAwGOcHgwAmM4mPH26b2Am3MRU1QZJzk6yfv84J7TWPlhV2yf5WpLNklyY5HWttfuqav0kxyXZI91X5b66tXbNRB8PAGAmGrYHAwCYLBNdU2l13Jtkr9babkl2T/KiqnpOkr9L8qnW2vwktyU5sN//wCS3tdZ2SPKpfj8AAAAApqGRhUqtc1d/c73+p6Wbvn1CP35sklf01/ftb6ffvndV1ajqAwAAAGD1jXKmUqpq3aq6OMlNSU5PclWS21try/pdliTZpr++TZLrkqTffkeSzcc55sKqWlRVi5YuXTrK8gEA1jpVtW1VnVlVl1fVj6vq7f34ZlV1elVd0V9u2o9XVX2mqq6sqkuq6hlT+wwAgLXFSEOl1toDrbXdk8xN8qwkO423W3853qyk9oiB1o5qrS1orS2YM2fOmisWAGBmWJbkna21nZI8J8lBVfXUJIcmOaNfguCM/naSvDjJ/P5nYZIjJ79kAGBtNOGFuh+N1trtVXVWusZmdlXN6mcjzU1yfb/bkiTbJllSVbOSPCHJrZNRHwDATNFauyHJDf31O6vq8nQzwvdNsme/27FJzkry1/34ca21luTcqppdVVv1x2ESXPuhXaa6hGlluw9cOtUlADBBI5upVFVzqmp2f/3xSX4/yeVJzkzyx/1uByQ5qb9+cn87/fbv980NAACroarmJXl6kvOSbDkWFPWXT+x3e3AJgt7g8gQAACs0yplKWyU5tqrWTRdefaO1dkpV/STJ16rqI0kuSnJ0v//RSY6vqivTzVB6zQhrAwCY0apqoyQnJjm4tfbLlXz/yYSWIKiqhelOj8t22223psoEANZiIwuVWmuXpPtkbPnxq9Otr7T8+D1J9htVPQAAjxVVtV66QOkrrbVv9sM3jp3WVlVbpfsileShJQjGDC5P8KDW2lFJjkqSBQsWmE0OAIx2oW4AACZXdVOSjk5yeWvtkwObBpcaWH4Jgv37b4F7TpI7rKcEAEzEpCzUDQDApHl+ktclubSqLu7H3pPk40m+UVUHJrk2D80QPzXJS5JcmeRXSd4wueUCAGsroRIAwAzSWvu3jL9OUpLsPc7+LclBIy0KAJiRnP4GAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMbWShUlVtW1VnVtXlVfXjqnp7P75ZVZ1eVVf0l5v241VVn6mqK6vqkqp6xqhqAwAAAODRGeVMpWVJ3tla2ynJc5IcVFVPTXJokjNaa/OTnNHfTpIXJ5nf/yxMcuQIawMAAADgURhZqNRau6G1dmF//c4klyfZJsm+SY7tdzs2ySv66/smOa51zk0yu6q2GlV9AAAAAKy+SVlTqarmJXl6kvOSbNlauyHpgqckT+x32ybJdQN3W9KPLX+shVW1qKoWLV26dJRlAwAAALACIw+VqmqjJCcmObi19suV7TrOWHvEQGtHtdYWtNYWzJkzZ02VCQAAAMAQRhoqVdV66QKlr7TWvtkP3zh2Wlt/eVM/viTJtgN3n5vk+lHWBwAAAMDqGeW3v1WSo5Nc3lr75MCmk5Mc0F8/IMlJA+P7998C95wkd4ydJgcAAADA9DJrhMd+fpLXJbm0qi7ux96T5ONJvlFVBya5Nsl+/bZTk7wkyZVJfpXkDSOsDQAAAIBHYWShUmvt3zL+OklJsvc4+7ckB42qHgAAAADWnEn59jcAAAAAZhahEgAAAABDEyoBAAAAMDShEgAAAABDEyoBAAAAMDShEgAAAABDEyoBAAAAMDShEgAAAABDEyoBAAAAMDShEgAAAABDmzXVBQArd+2HdpnqEpimtvvApVNdAgAA8BhmphIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAAAAAQxMqAQAAADA0oRIAwAxSVV+qqpuq6rKBsc2q6vSquqK/3LQfr6r6TFVdWVWXVNUzpq5yAGBtI1QCAJhZjknyouXGDk1yRmttfpIz+ttJ8uIk8/ufhUmOnKQaAYAZQKgEADCDtNbOTnLrcsP7Jjm2v35sklcMjB/XOucmmV1VW01OpQDA2k6oBAAw823ZWrshSfrLJ/bj2yS5bmC/Jf3YI1TVwqpaVFWLli5dOtJiAYC1g1AJAOCxq8YZa+Pt2Fo7qrW2oLW2YM6cOSMuCwBYGwiVAABmvhvHTmvrL2/qx5ck2XZgv7lJrp/k2gCAtZRQCQBg5js5yQH99QOSnDQwvn//LXDPSXLH2GlyAACrMmuqCwAAYM2pqn9OsmeSLapqSZIPJvl4km9U1YFJrk2yX7/7qUlekuTKJL9K8oZJLximqT0OOW6qS5hWFn9i/6kuAZiGhEoAADNIa+1PVrBp73H2bUkOGm1FAMBM5fQ3AAAAAIYmVAIAAABgaEIlAAAAAIYmVAIAAABgaEIlAAAAAIYmVAIAAABgaEIlAAAAAIYmVAIAAABgaEIlAAAAAIYmVAIAAABgaEIlAAAAAIYmVAIAAABgaEIlAAAAAIY2a1QHrqovJXlpkptaa0/rxzZL8vUk85Jck+RVrbXbqqqS/EOSlyT5VZLXt9YuHFVtAAAATNy1H9plqkuYNrb7wKVTXQJMG6OcqXRMkhctN3ZokjNaa/OTnNHfTpIXJ5nf/yxMcuQI6wIAAADgURpZqNRaOzvJrcsN75vk2P76sUleMTB+XOucm2R2VW01qtoAAAAAeHQme02lLVtrNyRJf/nEfnybJNcN7LekH3uEqlpYVYuqatHSpUtHWiwAAAAA45suC3XXOGNtvB1ba0e11ha01hbMmTNnxGUBAAAAMJ7JDpVuHDutrb+8qR9fkmTbgf3mJrl+kmsDAAAAYIImO1Q6OckB/fUDkpw0ML5/dZ6T5I6x0+QAAAAAmH5mjerAVfXPSfZMskVVLUnywSQfT/KNqjowybVJ9ut3PzXJS5JcmeRXSd4wqroAAAAAePRGFiq11v5kBZv2HmffluSgUdUCAAAAwJo1XRbqBgAAAGAtIlQCAAAAYGhCJQAAAACGJlQCAAAAYGhCJQAAAACGNrJvfwPgseH5Rzx/qktgGvv3t/77VJcAAMCImKkEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMTagEAAAAwNCESgAAAAAMbdZUFwAAAAAMZ49DjpvqEqaVxZ/Yf6pLeEwyUwkAAACAoQmVAAAAABia098AAACAtdq1H9plqkuYNrb7wKWT9lhmKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwNKESAAAAAEMTKgEAAAAwtGkXKlXVi6rqZ1V1ZVUdOtX1AADMdPovAGB1TKtQqarWTfKPSV6c5KlJ/qSqnjq1VQEAzFz6LwBgdU2rUCnJs5Jc2Vq7urV2X5KvJdl3imsCAJjJ9F8AwGqZbqHSNkmuG7i9pB8DAGA09F8AwGqZNdUFLKfGGWsP26FqYZKF/c27qupnI6/qsWWLJDdPdRHTQR1+wFSXwPi8R8d8cLx/MpkGvEcH1Nse9fv0SWuiDlZqlf1XogcbpSf5d+Ph/H2blrxPB3iPTkveowPWzHt0Qj3YdAuVliTZduD23CTXD+7QWjsqyVGTWdRjSVUtaq0tmOo6YEW8R5nuvEdZC62y/0r0YKPk3w3WBt6nTHfeo1Njup3+dkGS+VW1fVU9Lslrkpw8xTUBAMxk+i8AYLVMq5lKrbVlVfVXSf5vknWTfKm19uMpLgsAYMbSfwEAq2tahUpJ0lo7NcmpU13HY5hp7Ux33qNMd96jrHX0X1POvxusDbxPme68R6dAtfaIdRgBAAAAYKWm25pKAAAAAKwFhEokSarqvVX146q6pKourqpnT3VNMKiqfruqvlZVV1XVT6rq1Kp68lTXBWOqam5VnVRVV1TV1VX12apaf6rrAqY3PRjTnR6M6Uz/NfWESqSqnpvkpUme0VrbNcnvJ7luaquCh1RVJflWkrNaa7/bWntqkvck2XJqK4NO/x79ZpJvt9bmJ5mf5PFJ/ueUFgZMa3owpjs9GNOZ/mt6mHYLdTMltkpyc2vt3iRprd08xfXA8l6Q5P7W2ufHBlprF09hPbC8vZLc01r7cpK01h6oqv+e5BdV9d7W2l1TWx4wTenBmO70YExn+q9pwEwlkuS0JNtW1c+r6nNV9XtTXRAs52lJFk91EbASO2e592hr7ZdJrkmyw1QUBKwV9GBMd3owpjP91zQgVCJ9grtHkoVJlib5elW9fkqLAli7VJLxvk61JrsQYO2hBwN4VPRf04BQiSTdVMHW2lmttQ8m+askfzTVNcGAH6drumG6+nGSBYMDVbVJujUnfjYlFQFrBT0Y05wejOlM/zUNCJVIVT2lquYPDO2e5BdTVQ+M4/tJ1q+qvxgbqKpnOk2AaeSMJBtW1f5JUlXrJvn7JJ9trf16SisDpi09GGsBPRjTmf5rGhAqkSQbJTm2/4rQS5I8NclhU1sSPKS11pL8tyQv7L/O9sfp3qPXT2lh0Bt4j/5xVV2R5JYkv2mtfXRqKwOmOT0Y05oejOlM/zU9VPd7AADWlKp6XpJ/TvLK1poFTgEARkz/NTWESgAAAAAMzelvAAAAAAxNqAQAAADA0IRKAPD/s3fv0XZV9d3wvz8TJLSACAQFDgoKVq5JJRAogogiwmPBC9eqiDIebIWWVl+fan1aqZa+2kdrqfbRQmkBRa5WwUu1KqW+0gomGCMXqSBqAqlEboJc5DLfP/YKHJNDyCJn5+ScfD5j7HHWmmuuuX97OwaZfvdcawEAAL0JlQAAAADoTagEjKuqeqSqFox6vavHuftX1RdW8/0vr6o5T/Hc1X5/AIA1zfwLmCjTJ7oAYMq5v7U2eyLeuKqmTcT7AgBMMPMvYEJYqQSsEVX1o6r6y6r6z6qaV1UvqqqvVNVNVfW7o7puXFWfrarrquoTVfW07vyPd+ddW1V/vty4f1ZV30xyxKj2p1XV2VX1F93+K7r3vrqqLqqqDbv2V1bV97vzX7tGvgwAgDXA/AsYNqESMN42WG759VGjji1qre2d5P9LclaSw5PsleR9o/rsmeQdSXZN8vw8PtF4T2ttTpLdkrykqnYbdc4DrbUXt9bO7/anJzk3yX+11v53VW2e5H8neXlr7UVJ5iV5e1XNSHJGkt9Osm+SZ4/TdwAAsCaZfwETwuVvwHhb2fLrS7u/30uyYWvtniT3VNUDVbVJd+yq1toPk6Sqzkvy4iQXJzmyqk7I4L9bWybZKcnC7pwLlnufv09yYWvt1G5/r67/FVWVJE9P8p9JXpjk5tbaD7r3+1SSE57axwYAmDDmX8CEECoBa9KD3d9HR20v21/236O23DmtqrZL8v8k2aO1dmdVnZVkxqg+v1junP9I8tKq+nBr7YEkleSrrbVjRneqqtljvB8AwFRi/gUMjcvfgLXNnlW1XXct/1FJvplk4wwmLndX1bOSHPwkY5yZ5EtJLqqq6Um+lWSfqto+Sarq16rqBUm+n2S7qnp+d94xY44GADC1mX8BT4mVSsB426CqFoza/3JrbZUfa5vBsugPZHBN/zeSfLa19mhVfSfJtUl+mOSKJxuktfbXVfWMJJ9M8vokxyU5r6rW77r879baf3VLur9YVT/LYAK1S49aAQDWBuZfwISo1qw8BAAAAKAfl78BAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlWAdU1VnVdVfjON4p1TVp8ZprB9V1cvHY6y1QVXdW1XPG8K4U+p7AgDM0Z6K8f7OgP6ESjAJdP+Q39+FFMteH5vouiajqvqTqrq5+w4XV9UFw3qv1tqGrbUfDmt8AGBimaONj6rav6oe7b6/e6rqhqp680TXBTy56RNdALDKfru19rWJLmK0qppU/w2pqjcleWOSl7fWbqqqZyc59CmONb219vC4FggATEbmaOPj1tbaSFVVksOSXFxVV7bWrpvowoAnZqUSTHJVdVxVXVFVH6mqu6rqh1X1W137oqq6rQtTRtu8qr7a/RL071X13FHjndad9/Oqml9V+446dkpVXVxVn6qqnyc5brla1quq86rqM1X19Kp6WlW9q6puqqrbq+rCqtp0VP83VtWPu2PvWcln3Kuq/ruqpo1qe01VLey296yqeV3NP62qv36CofZI8pXW2k1J0lr779ba6aPG/JWl3aOXjVfVtlXVqur4qvpJksuq6stVddJytX63ql7bbbeq2n4V6h+X7wkAWHuYo/Waoz2mDXwuyZ1JdurGeXFV/Uf3PS6qquOWP6+qnllVX6iqpVV1Z7c9stz/Hj/svtubq+r1Xfv23Xd9d1X9rIa4ih2mIqESTA1zkyxMslmSTyc5P4MAZfskb0jysaracFT/1yd5f5LNkyxIcu6oY99OMjvJpt1YF1XVjFHHD0tycZJNRp9XVRsk+VySB5Mc2Vr7ZZI/SPLqJC9JslUGk4O/6/rvlOTjGawc2qqr/bF/+EdrrX0ryS+SHDCq+Xe6+pLktCSntdY2TvL8JBc+wff0rSTHVtU7q2rO6AlQDy9JsmOSg7r3P2bZge4zPTfJF3vWPy7fEwCw1jFHW7U52mO6wOs13ef4XlU9J8m/JPlokpndd7BgjFOfluSfMpiLPSfJ/Uk+1o3560n+NsnBrbWNkvzWqDHen+Rfkzyz+5wffbIagccJlWDy+Fz368yy1/8cdezm1to/tdYeSXJBkm2SvK+19mBr7V+T/DKDycsyX2ytfaO19mCS9yTZu6q2SZLW2qdaa7e31h5urX04yfpJfmPUuf/ZWvtca+3R1tr9XdvGSb6c5KYkb+7qSJK3JnlPa21x916nJDm8BkuyD0/yhVF1/GmSR1fy+c9LF+BU1UZJDunakuShJNtX1eattXu7Cc4KWmufSvL7GQRC/57ktqp610recyyntNZ+0X32zyaZPepXxNcn+efu8/Spfzy/JwBgzTJHW805Wmerqroryc+SvDfJG1trN2Qwv/paa+281tpD3XewQqjUtX+mtXZfa+2eJKdmEJot82iSXapqg9baktbataNqfG6SrVprD7TWvrmSGoHlCJVg8nh1a22TUa8zRh376ajt+5OktbZ82+hfwRYt22it3Zvkjgx+iUpVvaOqru+WAN+V5BkZ/Fq2wrmj7JVktyQfaK21Ue3PTfLZZZOsJNcneSTJs7r3G13HL5LcvpLP/+kkr62q9ZO8NsnVrbUfd8eOT/KCJN+vqm9X1aueaJDW2rmttZdn8OvX7yZ5X1UdtJL3Xd7omu/JYFXS0V3T0fnVXxRXtf7x/J4AgDXLHG0c5mgZ3FNpk9bapq212a2187v2bTIIxVaqqn6tqv6+u2zv50m+kWSTqprWfYajMpj7LamqL1bVC7tT/1eSSnJVVV1bVW95svcCHidUgnXTNss2uiXXmya5tbs2/4+THJnkma21TZLcncE/tMuMnpAs869J/t8kX6+qZ41qX5TBMuPRE60ZrbVbkixZro5fy2B59Zi6mzT+OMnB+dVl1Wmt/aC1dkySLZJ8MIMbO/76yr6A7peuizJYkr5L1/yLJL82qtuzxzp1uf3zkhxTVXsn2SDJv/WtP+P4PQEAk9o6P0cbw6IMLp17Mu/IYOXW3O5yu/2WfYSulq+01g5MsmWS7yc5o2v/79ba/2ytbZXBCq7/W1XbrzA6MCahEqybDuluePj0DK4jv7K1tijJRkkeTrI0yfSq+rMMlk0/qdbaX2Uwifh6VS371ewTSU5ddnlYVc2sqsO6YxcnedWoOt6XJ/9v0qczuAfAfkkuWtZYVW+oqpmttUeT3NU1P7L8yd0NGv9HVW3UXa9/cJKdk1zZdVmQ5Oga3MxyTgbLv5/MlzL4te99Sb0ExJQAACAASURBVC7oauhVf8b/ewIAJqd1co72JM5N8vKqOrKqplfVZlU1e4x+G2Ww8uuuGtx0/L2j6nhWVR3aBVoPJrl3WR1VdUQ9fkPvOzMI5/rWCOss/8cEJo/PV9W9o16fXY2xPp3BP7R3JNk9g2vVk+QrGdwI8b8y+MXpgYy9lHpMrbX3Z3AjyK91/5ifluTSJP9aVfdkcKPsuV3fa5Oc2NWyJIN/xBc/yVucl2T/JJe11n42qv2VSa6tqnu79zy6tfbAGOf/PMmfJPlJBhObv0rye6Ounf/TDH4JuzPJn+dXVxM90Wd+MMk/J3n5KvR/ovrH+3sCANYcc7TVn6OtrPafZHCfpndk8L0sSDJrjK5/k8Gq8Z91n+fLo449rTv/1m6MlyR5W3dsjyRXdjVemuTk1trNfWqEdVn96qW1AAAAAPDkrFQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAeps+0QWsjs0337xtu+22E10GADAk8+fP/1lrbeZE18GvMgcDgKltVedgkzpU2nbbbTNv3ryJLgMAGJKq+vFE18CKzMEAYGpb1TmYy98AAAAA6E2oBAAAAEBvQiUAAAAAepvU91QCgHXdQw89lMWLF+eBBx6Y6FJWy4wZMzIyMpL11ltvoksBABgXk2GetrpzMKESAExiixcvzkYbbZRtt902VTXR5TwlrbXcfvvtWbx4cbbbbruJLgcAYFys7fO08ZiDufwNACaxBx54IJttttlaOVFZVVWVzTbbbK3+FQ8AoK+1fZ42HnMwoRIATHJr60Slj6nwGQAAlre2z3FWtz6hEgBMMaeeemp23nnn7Lbbbpk9e3auvPLK1R7z0ksvzQc+8IFxqC7ZcMMNx2UcAIDJatq0aZk9e3Z22WWXHHHEEbnvvvuesO8pp5ySD33oQ2uwulUnVAKAKeQ///M/84UvfCFXX311Fi5cmK997WvZZpttVunchx9++AmPHXrooXnXu941XmUCAKzTNthggyxYsCDXXHNNnv70p+cTn/jERJf0lAiVAGAKWbJkSTbffPOsv/76SZLNN988W221Vbbddtv87Gc/S5LMmzcv+++/f5LBL18nnHBCXvGKV+TYY4/N3Llzc+211z423v7775/58+fnrLPOykknnZS777472267bR599NEkyX333ZdtttkmDz30UG666aa88pWvzO67755999033//+95MkN998c/bee+/sscce+dM//dM1+G0AAKz99t1339x4441JknPOOSe77bZbZs2alTe+8Y0r9D3jjDOyxx57ZNasWXnd61732Aqniy66KLvssktmzZqV/fbbL0ly7bXXZs8998zs2bOz22675Qc/+MG41y5UAoAp5BWveEUWLVqUF7zgBXnb296Wf//3f3/Sc+bPn59LLrkkn/70p3P00UfnwgsvTDIIqG699dbsvvvuj/V9xjOekVmzZj027uc///kcdNBBWW+99XLCCSfkox/9aObPn58PfehDedvb3pYkOfnkk/N7v/d7+fa3v51nP/vZQ/jUAACT08MPP5x/+Zd/ya677pprr702p556ai677LJ897vfzWmnnbZC/9e+9rX59re/ne9+97vZcccdc+aZZyZJ3ve+9+UrX/lKvvvd7+bSSy9NknziE5/IySefnAULFmTevHkZGRkZ9/qFSgAwhWy44YaZP39+Tj/99MycOTNHHXVUzjrrrJWec+ihh2aDDTZIkhx55JG56KKLkiQXXnhhjjjiiBX6H3XUUbnggguSJOeff36OOuqo3HvvvfmP//iPHHHEEZk9e3be+ta3ZsmSJUmSK664Isccc0ySjPmLGwDAuub+++/P7NmzM2fOnDznOc/J8ccfn8suuyyHH354Nt988yTJpptuusJ511xzTfbdd9/suuuuOffccx9bYb7PPvvkuOOOyxlnnJFHHnkkSbL33nvnL//yL/PBD34wP/7xjx+b742n6eM+IgAwoaZNm5b9998/+++/f3bdddecffbZmT59+mOXrC3/2Nhf//Vff2x76623zmabbZaFCxfmggsuyN///d+vMP6hhx6ad7/73bnjjjsyf/78HHDAAfnFL36RTTbZJAsWLBizprX9yScAAGvSsnsqjdZae9I503HHHZfPfe5zmTVrVs4666xcfvnlSQarkq688sp88YtfzOzZs7NgwYL8zu/8TubOnZsvfvGLOeigg/IP//APOeCAA8b1c6zzodLu7zxnoktYq8z/P8dOdAkArIYbbrghT3va07LDDjskSRYsWJDnPve5uf/++zN//vwcfPDB+cxnPrPSMY4++uj81V/9Ve6+++7suuuuKxzfcMMNs+eee+bkk0/Oq171qkybNi0bb7xxtttuu1x00UU54ogj0lrLwoULM2vWrOyzzz45//zz84Y3vCHnnnvuUD43j6uqGUm+kWT9DOZ6F7fW3ltVZyV5SZK7u67HtdYW1GD2elqSQ5Lc17VfveYrZxj2+eg+E11Cb1f8/hUTXQLAhHjZy16W17zmNfmjP/qjbLbZZrnjjjtWWK10zz33ZMstt8xDDz2Uc889N1tvvXWS5KabbsrcuXMzd+7cfP7zn8+iRYty991353nPe17+4A/+ID/84Q+zcOHCcQ+VXP4GAFPIvffemze96U3Zaaedsttuu+W6667LKaeckve+9705+eSTs++++2batGkrHePwww/P+eefnyOPPPIJ+xx11FH51Kc+laOOOuqxtnPPPTdnnnlmZs2alZ133jmXXHJJkuS0007L3/3d32WPPfbI3Xff/URDMn4eTHJAa21WktlJXllVe3XH3tlam929lv08enCSHbrXCUk+vsYrBgCy88475z3veU9e8pKXZNasWXn729++Qp/3v//9mTt3bg488MC88IUvfKz9ne98Z3bdddfssssu2W+//TJr1qxccMEF2WWXXTJ79ux8//vfz7HHjv8ikmqtjfuga8qcOXPavHnzVmsMK5V+lZVKAJPL9ddfnx133HGiyxgXY32WqprfWpszQSVNelX1a0m+meT3utcXWmsXL9fn75Nc3lo7r9u/Icn+rbUlTzTueMzBWDOsVAKYOJNlnrY6czArlQAAppiqmlZVC5LcluSrrbUru0OnVtXCqvpIVa3ftW2dZNGo0xd3bcuPeUJVzauqeUuXLh1q/QDA5CBUAgCYYlprj7TWZicZSbJnVe2S5N1JXphkjySbJvnjrvtYdwRdYSl7a+301tqc1tqcmTNnDqlyAGAyESoBAExRrbW7klye5JWttSVt4MEk/5Rkz67b4iTbjDptJMmta7RQAGBSEioBAEwhVTWzqjbptjdI8vIk36+qLbu2SvLqJNd0p1ya5Nga2CvJ3Su7nxIAwDLTJ7oAAADG1ZZJzq6qaRn8gHhha+0LVXVZVc3M4HK3BUl+t+v/pSSHJLkxyX1J3jwBNQMAk5BQCQBgCmmtLUzym2O0H/AE/VuSE4ddFwAw9bj8DQAYd1/+8pfzG7/xG9l+++3zgQ98YKLLAQBYJ73lLW/JFltskV122WUo41upBABT2O7vPGdcx5v/f4590j6PPPJITjzxxHz1q1/NyMhI9thjjxx66KHZaaedxrUWAIDJZCLmZccdd1xOOumkHHvsk/d9KqxUAgDG1VVXXZXtt98+z3ve8/L0pz89Rx99dC655JKJLgsAYJ2z3377ZdNNNx3a+EIlAGBc3XLLLdlmm8efUD8yMpJbbrllAisCAGAYhEoAwLga3Pf5Vw2eYg8AwFQiVAIAxtXIyEgWLVr02P7ixYuz1VZbTWBFAAAMg1AJABhXe+yxR37wgx/k5ptvzi9/+cucf/75OfTQQye6LAAAxplQCQAYV9OnT8/HPvaxHHTQQdlxxx1z5JFHZuedd57osgAA1jnHHHNM9t5779xwww0ZGRnJmWeeOa7jTx/X0cZQVdOSzEtyS2vtVVW1XZLzk2ya5Ookb2yt/bKq1k9yTpLdk9ye5KjW2o+GXR8ATGWr8qjZYTjkkENyyCGHTMh7AwCsjSZiXnbeeecNdfw1sVLp5CTXj9r/YJKPtNZ2SHJnkuO79uOT3Nla2z7JR7p+AAAAAKyFhhoqVdVIkv+R5B+6/UpyQJKLuy5nJ3l1t31Yt5/u+MvKo2IAAAAA1krDXqn0N0n+V5JHu/3NktzVWnu421+cZOtue+ski5KkO3531/9XVNUJVTWvquYtXbp0mLUDAAAA8ASGFipV1auS3NZamz+6eYyubRWOPd7Q2umttTmttTkzZ84ch0oBAAAA6GuYN+reJ8mhVXVIkhlJNs5g5dImVTW9W400kuTWrv/iJNskWVxV05M8I8kdQ6wPAAAAgKdoaCuVWmvvbq2NtNa2TXJ0kstaa69P8m9JDu+6vSnJJd32pd1+uuOXtdZWWKkEAAAAwMRbE09/W94fJ3l7Vd2YwT2Tzuzaz0yyWdf+9iTvmoDaAIDV9Ja3vCVbbLFFdtlll4kuBQBgnbZo0aK89KUvzY477pidd945p5122riOP8zL3x7TWrs8yeXd9g+T7DlGnweSHLEm6gGAdcVP3rfruI73nD/73pP2Oe6443LSSSfl2GOPHdf3BgCYzCZiXjZ9+vR8+MMfzote9KLcc8892X333XPggQdmp512GpcaJmKlEgAwhe23337ZdNNNJ7oMAIB13pZbbpkXvehFSZKNNtooO+64Y2655ZZxG1+oBAAAADDF/ehHP8p3vvOdzJ07d9zGFCoBAAAATGH33ntvXve61+Vv/uZvsvHGG4/buEIlAAAAgCnqoYceyute97q8/vWvz2tf+9pxHVuoBAAAADAFtdZy/PHHZ8cdd8zb3/72cR9fqAQAjKtjjjkme++9d2644YaMjIzkzDPPnOiSAADWSVdccUU++clP5rLLLsvs2bMze/bsfOlLXxq38aeP20gAwFpnVR41O97OO++8Nf6eAABru4mYl734xS9Oa21o41upBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAJrlhXie/pkyFzwAAsK4RKgHAJDZjxozcfvvtkzqUaa3l9ttvz4wZMya6FAAAevD0NwCYxEZGRrJ48eIsXbp0oktZLTNmzMjIyMhElwEAQA9CJQCYxNZbb71st912E10GAABroQceeCD77bdfHnzwwTz88MM5/PDD8+d//ufjNr5QCQAAAGDI9vnoPuM63hW/f8WT9ll//fVz2WWXZcMNN8xDDz2UF7/4xTn44IOz1157jUsN7qkEAAAAMAVVVTbccMMkyUMPPZSHHnooVTVu4wuVAAAAAKaoRx55JLNnz84WW2yRAw88MHPnzh23sYVKAAAAAFPUtGnTsmDBgixevDhXXXVVrrnmmnEbW6gEADCFVNWMqrqqqr5bVddW1Z937dtV1ZVV9YOquqCqnt61r9/t39gd33Yi6wcAhmOTTTbJ/vvvny9/+cvjNqZQCQBgankwyQGttVlJZid5ZVXtleSDST7SWtshyZ1Jju/6H5/kztba9kk+0vUDAKaApUuX5q677kqS3H///fna176WF77wheM2vlAJAGAKaQP3drvrda+W5IAkF3ftZyd5dbd9WLef7vjLajzv4AkATJglS5bkpS99aXbbbbfsscceOfDAA/OqV71q3MafPm4jAQCwVqiqaUnmJ9k+yd8luSnJXa21h7sui5Ns3W1vnWRRkrTWHq6qu5NsluRny415QpITkuQ5z3nOsD8CAEw5V/z+FWv8PXfbbbd85zvfGdr4VioBAEwxrbVHWmuzk4wk2TPJjmN16/6OtSqprdDQ2umttTmttTkzZ84cv2IBgElLqAQAMEW11u5KcnmSvZJsUlXLVqmPJLm1216cZJsk6Y4/I8kda7ZSAGAyEioBAEwhVTWzqjbptjdI8vIk1yf5tySHd93elOSSbvvSbj/d8ctaayusVAIAWJ57KgEATC1bJjm7u6/S05Jc2Fr7QlVdl+T8qvqLJN9JcmbX/8wkn6yqGzNYoXT0RBQNAFNRay1r8/MvVvd3JKESAMAU0lpbmOQ3x2j/YQb3V1q+/YEkR6yB0gBgnTJjxozcfvvt2WyzzdbKYKm1lttvvz0zZsx4ymMMLVSqqhlJvpFk/e59Lm6tvbeqzkrykiR3d12Pa60t6B5de1qSQ5Lc17VfPaz6AAAAAIZlZGQkixcvztKlSye6lCc0Y8aMjIyMPOXzh7lS6cEkB7TW7q2q9ZJ8s6r+pTv2ztbaxcv1PzjJDt1rbpKPd38BAAAAJpX11lsv22233USXMVRDu1F3G7i3212ve63sYr3DkpzTnfetDJ5QsuWw6gMAAADgqRvq09+qalpVLUhyW5Kvttau7A6dWlULq+ojVbV+17Z1kkWjTl/ctS0/5glVNa+q5q3NS8gAAAAAprKhhkqttUdaa7OTjCTZs6p2SfLuJC9MskeSTZP8cdd9rLtWrbCyqbV2emttTmttzsyZM4dUOQAAAAArM9RQaZnW2l1JLk/yytbaku4StweT/FMefwrJ4iTbjDptJMmta6I+AAAAAPoZWqhUVTOrapNue4MkL0/y/WX3Seqe9vbqJNd0p1ya5Nga2CvJ3a21JcOqDwAAAICnbphPf9syydlVNS2D8OrC1toXquqyqpqZweVuC5L8btf/S0kOSXJjkvuSvHmItQEAAACwGoYWKrXWFib5zTHaD3iC/i3JicOqBwAAAIDxs0buqQQAAADA1CJUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAwBRSVdtU1b9V1fVVdW1Vndy1n1JVt1TVgu51yKhz3l1VN1bVDVV10MRVDwBMJtOHNXBVzUjyjSTrd+9zcWvtvVW1XZLzk2ya5Ookb2yt/bKq1k9yTpLdk9ye5KjW2o+GVR8AwBT1cJJ3tNaurqqNksyvqq92xz7SWvvQ6M5VtVOSo5PsnGSrJF+rqhe01h5Zo1UDAJPOMFcqPZjkgNbarCSzk7yyqvZK8sEMJjQ7JLkzyfFd/+OT3Nla2z7JR7p+AAD00Fpb0lq7utu+J8n1SbZeySmHJTm/tfZga+3mJDcm2XP4lQIAk93QQqU2cG+3u173akkOSHJx1352kld324d1++mOv6yqalj1AQBMdVW1bZLfTHJl13RSVS2sqn+sqmd2bVsnWTTqtMUZI4SqqhOqal5VzVu6dOkQqwYAJouh3lOpqqZV1YIktyX5apKbktzVWnu46zJ60vLYhKY7fneSzYZZHwDAVFVVGyb5TJI/bK39PMnHkzw/gxXkS5J8eFnXMU5vKzS0dnprbU5rbc7MmTOHVDUAMJkMNVRqrT3SWpudZCSDZdQ7jtWt+7tKExq/kgEArFxVrZdBoHRua+2fk6S19tNubvZokjPy+CVui5NsM+r0kSS3rsl6AYDJaY08/a21dleSy5PslWSTqlp2g/DRk5bHJjTd8WckuWOMsfxKBgDwBLrbB5yZ5PrW2l+Pat9yVLfXJLmm2740ydFVtX73QJUdkly1puoFACavoYVKVTWzqjbptjdI8vIMbhT5b0kO77q9Kckl3fal3X6645e11lZYqQQAwErtk+SNSQ6oqgXd65Akf1VV36uqhUlemuSPkqS1dm2SC5Ncl+TLSU705DcAYFVMf/IuT9mWSc6uqmkZhFcXtta+UFXXJTm/qv4iyXcy+CUt3d9PVtWNGaxQOnqItQEATEmttW9m7NsKfGkl55ya5NShFQUATElDC5VaawszeNrI8u0/zBiPqW2tPZDkiGHVAwAAAMD4WSP3VAIAAABgahEqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0JtQCQAAAIDehEoAAAAA9CZUAgAAAKA3oRIAAAAAvQmVAAAAAOhNqAQAAABAb0IlAAAAAHoTKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQ2tFCpqrapqn+rquur6tqqOrlrP6WqbqmqBd3rkFHnvLuqbqyqG6rqoGHVBgAAAMDqmT7EsR9O8o7W2tVVtVGS+VX11e7YR1prHxrduap2SnJ0kp2TbJXka1X1gtbaI0OsEQAAAICnYGgrlVprS1prV3fb9yS5PsnWKznlsCTnt9YebK3dnOTGJHsOqz4AAAAAnro1ck+lqto2yW8mubJrOqmqFlbVP1bVM7u2rZMsGnXa4owRQlXVCVU1r6rmLV26dIhVAwAAAPBEhh4qVdWGST6T5A9baz9P8vEkz08yO8mSJB9e1nWM09sKDa2d3lqb01qbM3PmzCFVDQAAAMDKDDVUqqr1MgiUzm2t/XOStNZ+2lp7pLX2aJIz8vglbouTbDPq9JEktw6zPgAAAACemmE+/a2SnJnk+tbaX49q33JUt9ckuabbvjTJ0VW1flVtl2SHJFcNqz4AgKloJU/g3bSqvlpVP+j+PrNrr6r62+4JvAur6kUT+wkAgMlimE9/2yfJG5N8r6oWdG1/kuSYqpqdwaVtP0ry1iRprV1bVRcmuS6DJ8ed6MlvAAC9PdETeI9L8vXW2geq6l1J3pXkj5McnMGPeTskmZvBrQrmTkjlAMCkMrRQqbX2zYx9n6QvreScU5OcOqyaAACmutbakgzuW5nW2j1VtewJvIcl2b/rdnaSyzMIlQ5Lck5rrSX5VlVtUlVbduMAADyhNfL0NwAA1rzlnsD7rGVBUfd3i66bJ/ACAE+JUAkAYAoa4wm8T9h1jDZP4AUAntQqhUpV9fVVaQMAYHyszvxrrCfwJvnpsgemdH9v69o9gRcAeEpWGipV1Yyq2jTJ5lX1zO6pIZt2S6m3WhMFAgCsS1Z3/vVET+DN4Em7b+q235TkklHtx3ZPgdsryd3upwQArIonu1H3W5P8YQYTmPl5fHn0z5P83RDrAgBYV63u/OuJnsD7gSQXVtXxSX6S5Iju2JeSHJLkxiT3JXnzOHwGAGAdsNJQqbV2WpLTqur3W2sfXUM1AQCss1Z3/rWSJ/AmycvG6N+SnNj3fQAAnmylUpKktfbRqvqtJNuOPqe1ds6Q6gIAWKeZfwEAa7tVCpWq6pNJnp9kQZJHuuaWxKQGAGAIzL8AgLXdKoVKSeYk2albHg0AwPCZfwEAa7WVPv1tlGuSPHuYhQAA8CvMvwCAtdqqrlTaPMl1VXVVkgeXNbbWDh1KVQAAmH8BAGu1VQ2VThlmEQAArOCUiS4AAGBlVvXpb/8+7EIAAHic+RcAsLZb1ae/3ZPB00aS5OlJ1kvyi9baxsMqDABgXWb+BQCs7VZ1pdJGo/er6tVJ9hxKRQAAmH8BAGu9VX36269orX0uyQHjXAsAAE/A/AsAWNus6uVvrx21+7Qkc/L4cmwAAMaZ+RcAsLZb1ae//fao7YeT/CjJYeNeDQAAy5h/AQBrtVW9p9Kbh10Ia4efvG/XiS5hrfGcP/veRJcAwDrM/AsAWNut0j2Vqmqkqj5bVbdV1U+r6jNVNTLs4gAA1lXmXwDA2m5Vb9T9T0kuTbJVkq2TfL5rAwBgOMy/AIC12qqGSjNba//UWnu4e52VZOYQ6wIAWNeZfwEAa7VVDZV+VlVvqKpp3esNSW4fZmEAAOs48y8AYK22qqHSW5IcmeS/kyxJcngSN48EABge8y8AYK22Sk9/S/L+JG9qrd2ZJFW1aZIPZTDZAQBg/Jl/AQBrtVVdqbTbsglNkrTW7kjym8MpCQCAmH8BAGu5VQ2VnlZVz1y20/1StqqrnAAA6M/8CwBYq63qxOTDSf6jqi5O0jK4vv/UlZ1QVdskOSfJs5M8muT01tpp3YTogiTbJvlRkiNba3dWVSU5LckhSe5Lclxr7erenwgAYGroPf8CAFiTVmmlUmvtnCSvS/LTJEuTvLa19sknOe3hJO9ore2YZK8kJ1bVTkneleTrrbUdkny920+Sg5Ps0L1OSPLxnp8FAGDKeIrzLwCANWaVl1C31q5Lcl2P/ksyeFJJWmv3VNX1SbZOcliS/btuZye5PMkfd+3ntNZakm9V1SZVtWU3DgDAOqfv/AsAYE1a1XsqrZaq2jaDG0temeRZy4Ki7u8WXbetkywaddrirm35sU6oqnlVNW/p0qXDLBsAAACAJzD0mz1W1YZJPpPkD1trPx/cOmnsrmO0tRUaWjs9yelJMmfOnBWOAwDAMPzkfbtOdAn9PXPjia4AgClsqCuVqmq9DAKlc1tr/9w1/7SqtuyOb5nktq59cZJtRp0+kuTWYdYHAAAAwFMztFCpe5rbmUmub6399ahDlyZ5U7f9piSXjGo/tgb2SnK3+ykBAAAArJ2GefnbPknemOR7VbWga/uTJB9IcmFVHZ/kJ0mO6I59KckhSW5Mcl+SNw+xNgAAAABWw9BCpdbaNzP2fZKS5GVj9G9JThxWPQAAAACMnzXy9DcAAAAAphahEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQBMIVX1j1V1W1VdM6rtlKq6paoWdK9DRh17d1XdWFU3VNVBE1M1ADAZCZUAAKaWs5K8coz2j7TWZnevLyVJVe2U5OgkO3fn/N+qmrbGKgUAJjWhEgDAFNJa+0aSO1ax+2FJzm+tPdhauznJjUn2HFpxAMCUIlQCAFg3nFRVC7vL457ZtW2dElCLEAAAEGlJREFUZNGoPou7thVU1QlVNa+q5i1dunTYtQIAk4BQCQBg6vt4kucnmZ1kSZIPd+01Rt821gCttdNba3Naa3Nmzpw5nCoBgElFqAQAMMW11n7aWnuktfZokjPy+CVui5NsM6rrSJJb13R9AMDkJFQCAJjiqmrLUbuvSbLsyXCXJjm6qtavqu2S7JDkqjVdHwAwOU2f6AIAABg/VXVekv2TbF5Vi5O8N8n+VTU7g0vbfpTkrUnSWru2qi5Mcl2Sh5Oc2Fp7ZCLqBgAmH6ESAMAU0lo7ZozmM1fS/9Qkpw6vIgBgqnL5GwAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAAAAAL0JlQAAAADoTagEAAAAQG9CJQAAAAB6EyoBAAAA0NvQQqWq+sequq2qrhnVdkpV3VJVC7rXIaOOvbuqbqyqG6rqoGHVBQAAAMDqmz7Esc9K8rEk5yzX/pHW2odGN1TVTkmOTrJzkq2SfK2qXtBae2SI9QEAMEF2f+fyU8S132c3mugKAGDtMrSVSq21byS5YxW7H5bk/Nbag621m5PcmGTPYdUGAAAAwOqZiHsqnVRVC7vL457ZtW2dZNGoPou7NgAAAADWQms6VPp4kucnmZ1kSZIPd+01Rt821gBVdUJVzauqeUuXLh1OlQAAAACs1BoNlVprP22tPdJaezTJGXn8ErfFSbYZ1XUkya1PMMbprbU5rbU5M2fOHG7BAAAAAIxpjYZKVbXlqN3XJFn2ZLhLkxxdVetX1XZJdkhy1ZqsDQAAAIBVN7Snv1XVeUn2T7J5VS1O8t4k+1fV7AwubftRkrcmSWvt2qq6MMl1SR5OcqInvwEAAACsvYYWKrXWjhmj+cyV9D81yanDqgcAAACA8TMRT38DAAAAYJITKgEAAADQm1AJAAAAgN6ESgAAAAD0JlQCAAAAoDehEgAAAAC9CZUAAAAA6E2oBAAAAEBvQiUAAAAAehMqAQAAANCbUAkAAACA3oRKAAAAAPQmVAIAAACgN6ESAMAUUlX/WFW3VdU1o9o2raqvVtUPur/P7Nqrqv62qm6sqoVV9aKJqxwAmGyESgAAU8tZSV65XNu7kny9tbZDkq93+0lycJIdutcJST6+hmoEAKYAoRIAwBTSWvtGkjuWaz4sydnd9tlJXj2q/Zw28K0km1TVlmumUgBgshMqAQBMfc9qrS1Jku7vFl371kkWjeq3uGtbQVWdUFXzqmre0qVLh1osADA5CJUAANZdNUZbG6tja+301tqc1tqcmTNnDrksAGAyECoBAEx9P112WVv397aufXGSbUb1G0ly6xquDf7/9u4/Zte6rgP4+yNn/gpIHT9kgcUUbSTE4IgYNiV/TF0NM9BYC3TWWZv0Rz+YLBgUy3aWs62yNCwD+oFg6wQr5o/RmEm6OBRDD0NAwiPDycGcUYolfPrjuU7cnR6E65zzPNd1P+f12p7d9/V9ruu+P+c51+599t73e38BWFJCJQCAje/6JOcNz89Lct3C+LnDLnCnJfnG7mVyAABPZtPUBQAAsP9U1dVJXp3ksKq6P8mlSbYmubaq3plkZ5Kzh9NvSPKmJPck+WaSd6x7wQDA0hIqAQBsIN19zhP86jWrnNtJ3rW2FQEAG5XlbwAAAACMJlQCAAAAYDShEgAAAACjCZUAAAAAGE2oBAAAAMBoQiUAAAAARluzUKmqPlxVD1bV5xfGnldVn6yqu4fH5w7jVVW/V1X3VNXtVXXyWtUFAAAAwL7btIavfUWS9ye5amHswiQ3dvfWqrpwOH53kjcmOW74eXmSDwyPAAAA6+6UC6568pNm5tb3njt1CcABZs1mKnX3p5L82x7DZya5cnh+ZZI3L4xf1Ss+m+Q5VXXUWtUGAAAAwL5Z7+9UOrK7v5Ikw+MRw/j3Jfnywnn3D2P/T1VtqartVbV9165da1osAAAAAKubyxd11ypjvdqJ3X15d2/u7s2HH374GpcFAAAAwGrWO1T66u5lbcPjg8P4/UmOWTjv6CQPrHNtAAAAADxF6x0qXZ/kvOH5eUmuWxg/d9gF7rQk39i9TA4AAACA+Vmz3d+q6uokr05yWFXdn+TSJFuTXFtV70yyM8nZw+k3JHlTknuSfDPJO9aqLgAAAAD23ZqFSt19zhP86jWrnNtJ3rVWtQAbx87LTpi6hNl4wSWfm7oEAADgADaXL+oGAAAAYIkIlQAAAAAYTagEAAAAwGhr9p1KAAAAAMvs9N8/feoSRrv5F29et/cyUwkAAACA0YRKAAAAAIwmVAIAAABgNKESAAAAAKMJlQAAAAAYze5vAAAATMLOWrDczFQCAAAAYDShEgAAAACjWf4GM3fKBVdNXcKsbDtk6goAAABIzFQCAAAAYC8IlQAAAAAYTagEAAAAwGhCJQAAAABGEyoBAAAAMJpQCQAAAIDRhEoAAAAAjLZp6gIAAFgfVXVfkoeTPJrkO929uaqel+SaJD+Q5L4kb+3ur09VIwCwPMxUAgA4sJzR3Sd19+bh+MIkN3b3cUluHI4BAJ6UUAkA4MB2ZpIrh+dXJnnzhLUAAEtEqAQAcODoJJ+oqlurasswdmR3fyVJhscjVruwqrZU1faq2r5r1651KhcAmDPfqQQAcOA4vbsfqKojknyyqu58qhd29+VJLk+SzZs391oVCAAsDzOVAAAOEN39wPD4YJJtSU5N8tWqOipJhscHp6sQAFgmQiUAgANAVX1PVR2y+3mS1yf5fJLrk5w3nHZekuumqRAAWDaTLH+znS0AwLo7Msm2qkpWesC/7O6PVdUtSa6tqncm2Znk7AlrBACWyJTfqXRGdz+0cLx7O9utVXXhcPzuaUoDANhYuvveJD+8yvjXkrxm/SsCAJbdnJa/2c4WAAAAYElMFSrZzhYAAABgiU21/M12tgAAAABLbJKZSrazBQAAAFhu6z5TadjC9mnd/fDCdraX5fHtbLfGdrYAS+OUC66auoRZufW9505dAgAArIsplr/ZzhYAAABgya17qGQ7WwAAAIDlN9XubwAAAAAsMaESAAAAAKMJlQAAAAAYTagEAAAAwGhCJQAAAABGEyoBAAAAMJpQCQAAAIDRhEoAAAAAjCZUAgAAAGC0TVMXAAAbyc7LTpi6hFl5wSWfm7oEAADWiJlKAAAAAIwmVAIAAABgNKESAAAAAKMJlQAAAAAYTagEAAAAwGhCJQAAAABG2zR1AQAAAOy7nZedMHUJ4z330KkrAPaBmUoAAAAAjCZUAgAAAGA0oRIAAAAAowmVAAAAABhNqAQAAADAaEIlAAAAAEYTKgEAAAAwmlAJAAAAgNGESgAAAACMJlQCAAAAYDShEgAAAACjbZq6gD1V1RuS/G6Sg5L8cXdvnbgkAIANTf8FwHrYedkJU5cw3nMPnbqCWZtVqFRVByX5gySvS3J/kluq6vruvmPaygAANib9F8ByOuWCq6YuYbRth0xdAfvb3Ja/nZrknu6+t7v/K8lHkpw5cU0AABuZ/gsA2CvV3VPX8L+q6qwkb+junxuOfzbJy7v7/IVztiTZMhy+JMkX1r3Qje2wJA9NXQR8F+5R5s49un99f3cfPnURG9lT6b+GcT3Y2vG5wTJwnzJ37tH96yn1YLNa/pakVhn7P6lXd1+e5PL1KefAU1Xbu3vz1HXAE3GPMnfuUZbQk/ZfiR5sLfncYBm4T5k79+g05rb87f4kxywcH53kgYlqAQA4EOi/AIC9MrdQ6ZYkx1XVsVX19CQ/neT6iWsCANjI9F8AwF6Z1fK37v5OVZ2f5ONZ2dL2w929Y+KyDjSmtTN37lHmzj3KUtF/zYLPDZaB+5S5c49OYFZf1A0AAADAcpjb8jcAAAAAloBQCQAAAIDRhEokSarqoqraUVW3V9VtVfXyqWuCRVX1/Kr6SFV9saruqKobqurFU9cFu1XV0VV1XVXdXVX3VtX7q+oZU9cFzJsejLnTgzFn+q/pCZVIVb0iyY8nObm7T0zy2iRfnrYqeFxVVZJtSW7q7hd29/FJfi3JkdNWBiuGe/Svk/xNdx+X5Lgkz0ry25MWBsyaHoy504MxZ/qveZjV7m9M5qgkD3X3t5Okux+auB7Y0xlJ/ru7P7h7oLtvm7Ae2NOPJXmku/80Sbr70ar6pSRfqqqLuvs/pi0PmCk9GHOnB2PO9F8zYKYSSfKJJMdU1V1V9YdV9aqpC4I9vDTJrVMXAd/FD2WPe7S7/z3JfUleNEVBwFLQgzF3ejDmTP81A0IlMiS4pyTZkmRXkmuq6u2TFgWwXCpJP8E4wKr0YAD7RP81A0IlkqxMFezum7r70iTnJ/mpqWuCBTuy0nTDXO1IsnlxoKoOzcp3TnxhkoqApaAHY+b0YMyZ/msGhEqkql5SVcctDJ2U5EtT1QOr+Pskz6iqn989UFUvs0yAGbkxybOr6twkqaqDkrwvyfu7+1uTVgbMlh6MJaAHY870XzMgVCJJDk5y5bBF6O1Jjk/y69OWBI/r7k7yk0leN2xnuyMr9+gDkxYGg4V79KyqujvJ15I81t3vmbYyYOb0YMyaHow503/NQ638PwAA+0tV/UiSq5O8pbt9wSkAwBrTf01DqAQAAADAaJa/AQAAADCaUAkAAACA0YRKAAAAAIwmVAIAAABgNKESsF9V1aNVddvCz4Ujrn11Vf3tPr7/TVW1eS+v3ef3BwBYb/ovYCqbpi4A2HC+1d0nTfHGVXXQFO8LADAx/RcwCTOVgHVRVfdV1W9V1WeqantVnVxVH6+qL1bVLyycemhVbauqO6rqg1X1tOH6DwzX7aiq39jjdS+pqk8nOXth/GlVdWVV/eZw/Prhvf+5qj5aVQcP42+oqjuH69+yLn8MAIB1oP8C1ppQCdjfnrXH9Ou3Lfzuy939iiT/kOSKJGclOS3JZQvnnJrkV5KckOSFebzRuKi7Nyc5McmrqurEhWse6e5XdvdHhuNNSf4iyV3dfXFVHZbk4iSv7e6Tk2xP8stV9cwkH0ryE0l+NMnz99PfAABgPem/gElY/gbsb99t+vX1w+Pnkhzc3Q8nebiqHqmq5wy/+6fuvjdJqurqJK9M8ldJ3lpVW7LyuXVUkuOT3D5cc80e7/NHSa7t7vcMx6cN599cVUny9CSfSfKDSf61u+8e3u/Pk2zZu382AMBk9F/AJIRKwHr69vD42MLz3ce7P496j2u6qo5N8qtJXtbdX6+qK5I8c+Gc/9zjmn9MckZVva+7H0lSST7Z3ecsnlRVJ63yfgAAG4n+C1gzlr8Bc3NqVR07rOV/W5JPJzk0K43LN6rqyCRvfJLX+JMkNyT5aFVtSvLZJKdX1YuSpKqeXVUvTnJnkmOr6oXDdees+moAABub/gvYK2YqAfvbs6rqtoXjj3X3U97WNivTordmZU3/p5Js6+7HqupfkuxIcm+Sm5/sRbr7d6rqe5P8WZKfSfL2JFdX1TOGUy7u7ruGKd1/V1UPZaWBeumIWgEA5kD/BUyius08BAAAAGAcy98AAAAAGE2oBAAAAMBoQiUAAAAARhMqAQAAADCaUAkAAACA0YRKAAAAAIwmVAIAAABgtP8BBDh3yIJR0qYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x1080 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(2,2,figsize=(20,15))\n",
    "sns.countplot('Embarked',data=train,ax=ax[0,0])\n",
    "ax[0,0].set_title('No. Of Passengers Boarded')\n",
    "sns.countplot('Embarked',hue='Sex',data=train,ax=ax[0,1])\n",
    "ax[0,1].set_title('Male-Female Split for Embarked')\n",
    "sns.countplot('Embarked',hue='Survived',data=train,ax=ax[1,0])\n",
    "ax[1,0].set_title('Embarked vs Survived')\n",
    "sns.countplot('Embarked',hue='Pclass',data=train,ax=ax[1,1])\n",
    "ax[1,1].set_title('Embarked vs Pclass')\n",
    "plt.subplots_adjust(wspace=0.2,hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Embarked'].fillna('S',inplace=True)\n",
    "train.Embarked.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자녀수+부모수 = 가족수로 변환\n",
    "# 혼자냐 아니냐로 변경\n",
    "train['Family_Size']=0\n",
    "train['Family_Size']=train['Parch']+train['SibSp']#family size\n",
    "train['Alone']=0\n",
    "train.loc[train.Family_Size==0,'Alone']=1#Alone\n",
    "\n",
    "f,ax=plt.subplots(1,2,figsize=(18,6))\n",
    "sns.factorplot('Family_Size','Survived',data=train,ax=ax[0])\n",
    "ax[0].set_title('Family_Size vs Survived')\n",
    "sns.factorplot('Alone','Survived',data=train,ax=ax[1])\n",
    "ax[1].set_title('Alone vs Survived')\n",
    "plt.close(2)\n",
    "plt.close(3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_fde97f52_fd0e_11e8_bcf2_021541856f14row0_col0 {\n",
       "            background-color:  #ffff66;\n",
       "        }    #T_fde97f52_fd0e_11e8_bcf2_021541856f14row1_col0 {\n",
       "            background-color:  #b9dc66;\n",
       "        }    #T_fde97f52_fd0e_11e8_bcf2_021541856f14row2_col0 {\n",
       "            background-color:  #54aa66;\n",
       "        }    #T_fde97f52_fd0e_11e8_bcf2_021541856f14row3_col0 {\n",
       "            background-color:  #008066;\n",
       "        }</style>  \n",
       "<table id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >Survived</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >Fare_Range</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14level0_row0\" class=\"row_heading level0 row0\" >(-0.001, 7.91]</th> \n",
       "        <td id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14row0_col0\" class=\"data row0 col0\" >0.197309</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14level0_row1\" class=\"row_heading level0 row1\" >(7.91, 14.454]</th> \n",
       "        <td id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14row1_col0\" class=\"data row1 col0\" >0.303571</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14level0_row2\" class=\"row_heading level0 row2\" >(14.454, 31.0]</th> \n",
       "        <td id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14row2_col0\" class=\"data row2 col0\" >0.454955</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14level0_row3\" class=\"row_heading level0 row3\" >(31.0, 512.329]</th> \n",
       "        <td id=\"T_fde97f52_fd0e_11e8_bcf2_021541856f14row3_col0\" class=\"data row3 col0\" >0.581081</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2119eacfe48>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 요금 -> 요금 Range\n",
    "\n",
    "train['Fare_Range']=pd.qcut(train['Fare'],4)\n",
    "train.groupby(['Fare_Range'])['Survived'].mean().to_frame().style.background_gradient(cmap='summer_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 430.5x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['Fare_cat']=0\n",
    "train.loc[train['Fare']<=7.91,'Fare_cat']=0\n",
    "train.loc[(train['Fare']>7.91)&(train['Fare']<=14.454),'Fare_cat']=1\n",
    "train.loc[(train['Fare']>14.454)&(train['Fare']<=31),'Fare_cat']=2\n",
    "train.loc[(train['Fare']>31)&(train['Fare']<=513),'Fare_cat']=3\n",
    "\n",
    "sns.factorplot('Fare_cat','Survived', data=train,hue='Sex')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      male\n",
       "1    female\n",
       "2    female\n",
       "3    female\n",
       "4      male\n",
       "Name: Sex, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Sex'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    1\n",
       "2    1\n",
       "3    1\n",
       "4    0\n",
       "Name: Sex, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Feature 범주형 변수로 전환\n",
    "train['Sex'].replace(['male','female'],[0,1],inplace=True)\n",
    "train['Embarked'].replace(['S','C','Q'],[0,1,2],inplace=True)\n",
    "train['Initial'].replace(['Mr','Mrs','Miss','Master','Other'],[0,1,2,3,4],inplace=True)\n",
    "train['Sex'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age              0\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Cabin          687\n",
       "Embarked         0\n",
       "Initial          0\n",
       "Age_band         0\n",
       "Family_Size      0\n",
       "Alone            0\n",
       "Fare_Range       0\n",
       "Fare_cat         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 널값 확인\n",
    "train.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 추가된 컬럼\n",
    "Initial  -->  이니셜 컬럼 정리    \n",
    "\n",
    "Age_band -->  나이를 연속변수 -> 범주형으로 변환\n",
    "\n",
    "Family_Size  --> 가족수 관련 2가지 데이터 덧셈\n",
    "\n",
    "Alone  --> 단독 승선자 별로 컬럼으로 추출\n",
    "\n",
    "Fare_cat  --> 요금을 범주형으로 변환"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 필요없는 컬럼 Drop \n",
    "\n",
    "Name--> 이름은 필요 없음.\n",
    "\n",
    "Age--> 나이는 Age_band feature로 변환하였음.\n",
    "\n",
    "Ticket--> 랜덤 스트링이라서 변환 불가.\n",
    "\n",
    "Fare--> Fare_cat feature로 변환.\n",
    "\n",
    "Cabin--> 널값이 너무 많아서 사용 불가능.\n",
    "\n",
    "Fare_Range--> fare_cat feature 있어서 필요없음.\n",
    "\n",
    "PassengerId--> 범주화 불가."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train.drop(['Name','Age','Ticket','Fare','Cabin','Fare_Range','PassengerId'],axis=1,inplace=True)\n",
    "sns.heatmap(train.corr(),annot=True,cmap='RdYlGn',linewidths=0.2,annot_kws={'size':20})\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18,15)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 3: 모델링\n",
    "\n",
    "1. Logistic Regression.\n",
    "2. K-Nearest Neighbors.\n",
    "3. Random Forest.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression #logistic regression\n",
    "from sklearn.neighbors import KNeighborsClassifier #KNN\n",
    "from sklearn.ensemble import RandomForestClassifier #Random Forest\n",
    "\n",
    "from sklearn.model_selection import train_test_split #training and testing data split\n",
    "from sklearn import metrics #accuracy measure\n",
    "from sklearn.metrics import confusion_matrix #for confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "train,test=train_test_split(train, test_size=0.3,random_state=0, stratify=train['Survived'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "436"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "187"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_X=train[train.columns[1:]]\n",
    "train_Y=train[train.columns[:1]]\n",
    "test_X=test[test.columns[1:]]\n",
    "test_Y=test[test.columns[:1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Survived', 'Pclass', 'Sex', 'SibSp', 'Parch', 'Embarked', 'Initial',\n",
       "       'Age_band', 'Family_Size', 'Alone', 'Fare_cat'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Survived'], dtype='object')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_Y.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Logistic Regrssion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=0.05, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='warn',\n",
       "          n_jobs=None, penalty='l2', random_state=None, solver='warn',\n",
       "          tol=0.0001, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = LogisticRegression(C=0.05)\n",
    "model.fit(train_X,train_Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0,\n",
       "       1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0,\n",
       "       0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0,\n",
       "       1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0,\n",
       "       1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0,\n",
       "       0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1,\n",
       "       1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1,\n",
       "       0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction1=model.predict(test_X)\n",
    "prediction1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the Logistic Regression is 0.824\n"
     ]
    }
   ],
   "source": [
    "prediction1=model.predict(test_X)\n",
    "print('The accuracy of the Logistic Regression is {:0.3f}'.format(metrics.accuracy_score(prediction1,test_Y)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-Nearest Neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "           metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
       "           weights='uniform')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=KNeighborsClassifier() \n",
    "model.fit(train_X,train_Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the KNN is 0.791\n"
     ]
    }
   ],
   "source": [
    "prediction2=model.predict(test_X)\n",
    "print('The accuracy of the KNN is {:0.3f}'.format(metrics.accuracy_score(prediction2,test_Y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracies for different values of n are: [0.74331551 0.77540107 0.80213904 0.80213904 0.79144385 0.80213904\n",
      " 0.80213904 0.79679144 0.81283422 0.81818182] with the max value as 0.818\n"
     ]
    }
   ],
   "source": [
    "a_index=list(range(1,11))\n",
    "a=pd.Series()\n",
    "x=[0,1,2,3,4,5,6,7,8,9,10]\n",
    "for i in list(range(1,11)):\n",
    "    model=KNeighborsClassifier(n_neighbors=i) \n",
    "    model.fit(train_X,train_Y)\n",
    "    prediction=model.predict(test_X)\n",
    "    a=a.append(pd.Series(metrics.accuracy_score(prediction,test_Y)))\n",
    "plt.plot(a_index, a)\n",
    "plt.xticks(x)\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(12,6)\n",
    "plt.show()\n",
    "print('Accuracies for different values of n are:',a.values,\n",
    "      'with the max value as {:0.3f}'.format(a.values.max()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=4, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=None,\n",
       "            oob_score=False, random_state=0, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=RandomForestClassifier(n_estimators=100, max_depth=4, random_state=0)\n",
    "model.fit(train_X,train_Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the Random Forests is 0.856\n"
     ]
    }
   ],
   "source": [
    "prediction3=model.predict(test_X)\n",
    "print('The accuracy of the Random Forests is {:0.3f}'.format(metrics.accuracy_score(prediction3,test_Y)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ensembling  앙상블\n",
    "\n",
    "### Voting Classifier\n",
    "다양한 모델의 결과를 다수결로 결합"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy for ensembled model is: 0.829\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import VotingClassifier\n",
    "ensemble_lin_rbf=VotingClassifier(estimators=[('LR',LogisticRegression(C=0.05)),\n",
    "                                              ('KNN',KNeighborsClassifier(n_neighbors=10)),\n",
    "                                              ('RFor',RandomForestClassifier(n_estimators=100, max_depth=4, random_state=0)),\n",
    "                                             ], \n",
    "                                               voting='soft').fit(train_X,train_Y)\n",
    "print('The accuracy for ensembled model is: {:0.3f}'.format(ensemble_lin_rbf.score(test_X,test_Y)))\n",
    "prediction4 = ensemble_lin_rbf.predict(test_X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Confusion Matrix\n",
    "\n",
    "### 실측치와 예측치간의 비교를 위해 만든 표"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(2,2,figsize=(12,10))\n",
    "\n",
    "sns.heatmap(confusion_matrix(test_Y,prediction1),ax=ax[0,0],annot=True,fmt='2.0f')\n",
    "ax[0,0].set_title('Matrix for Logistic Regression')\n",
    "sns.heatmap(confusion_matrix(test_Y,prediction2),ax=ax[0,1],annot=True,fmt='2.0f')\n",
    "ax[0,1].set_title('Matrix for KNN')\n",
    "sns.heatmap(confusion_matrix(test_Y,prediction3),ax=ax[1,0],annot=True,fmt='2.0f')\n",
    "ax[1,0].set_title('Matrix for Random-Forests')\n",
    "sns.heatmap(confusion_matrix(test_Y,prediction4),ax=ax[1,1],annot=True,fmt='2.0f')\n",
    "ax[1,1].set_title('Matrix for Ensemble')\n",
    "\n",
    "plt.subplots_adjust(hspace=0.2,wspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3(ml)",
   "language": "python",
   "name": "ml"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}