피마인디언.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnant</th>\n",
       "      <th>plasma</th>\n",
       "      <th>pressure</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>pedigree</th>\n",
       "      <th>age</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnant  plasma  pressure  thickness  insulin   bmi  pedigree  age  \\\n",
       "0         6     148        72         35        0  33.6     0.627   50   \n",
       "1         1      85        66         29        0  26.6     0.351   31   \n",
       "2         8     183        64          0        0  23.3     0.672   32   \n",
       "3         1      89        66         23       94  28.1     0.167   21   \n",
       "4         0     137        40         35      168  43.1     2.288   33   \n",
       "\n",
       "   diabetes  \n",
       "0         1  \n",
       "1         0  \n",
       "2         1  \n",
       "3         0  \n",
       "4         1  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('./data/pima-indians-diabetes3.csv')\n",
    "df.head()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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kjJ6Ttp44e9O7nltz6tdS72dpen9jG/R66DWJt3G38D7WtsX3OL9duzN7fZCk3kTyOnyj7YGek7ZTcCznubU8j2Xdjv2967nOes4p8RotSa9HqiHvGNbqnHycN70+SV5vLGsc6ze0JXMqscSwnpNozUdjW9f22M/Xg8c6pMwVN7TUNRxVm0OOW3nkOnLO1lxb42tcy7gt5p8ykmcolbNHXOGVo4e5c7HGT613ylbWzdPJF3kAAAB7xI9rAQAAdogiDwAAYIco8gAAAHaIIg8AAGCHKPIAAAB2iCIPAABghyjyAAAAdogiDwAAYIco8gAAAHaIIg8AAGB3Dof/A8ibai/nGTEJAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "diabetes\n",
       "0    500\n",
       "1    268\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['diabetes'].value_counts() # 벨류 카운트 함수를 이용하면 각컬럼이 몇개씩 있는지 알려줌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "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",
       "    .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>pregnant</th>\n",
       "      <th>plasma</th>\n",
       "      <th>pressure</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>pedigree</th>\n",
       "      <th>age</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         pregnant      plasma    pressure   thickness     insulin         bmi  \\\n",
       "count  768.000000  768.000000  768.000000  768.000000  768.000000  768.000000   \n",
       "mean     3.845052  120.894531   69.105469   20.536458   79.799479   31.992578   \n",
       "std      3.369578   31.972618   19.355807   15.952218  115.244002    7.884160   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      1.000000   99.000000   62.000000    0.000000    0.000000   27.300000   \n",
       "50%      3.000000  117.000000   72.000000   23.000000   30.500000   32.000000   \n",
       "75%      6.000000  140.250000   80.000000   32.000000  127.250000   36.600000   \n",
       "max     17.000000  199.000000  122.000000   99.000000  846.000000   67.100000   \n",
       "\n",
       "         pedigree         age    diabetes  \n",
       "count  768.000000  768.000000  768.000000  \n",
       "mean     0.471876   33.240885    0.348958  \n",
       "std      0.331329   11.760232    0.476951  \n",
       "min      0.078000   21.000000    0.000000  \n",
       "25%      0.243750   24.000000    0.000000  \n",
       "50%      0.372500   29.000000    0.000000  \n",
       "75%      0.626250   41.000000    1.000000  \n",
       "max      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>pregnant</th>\n",
       "      <th>plasma</th>\n",
       "      <th>pressure</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>pedigree</th>\n",
       "      <th>age</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pregnant</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.129459</td>\n",
       "      <td>0.141282</td>\n",
       "      <td>-0.081672</td>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.017683</td>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.544341</td>\n",
       "      <td>0.221898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plasma</th>\n",
       "      <td>0.129459</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.466581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pressure</th>\n",
       "      <td>0.141282</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>0.065068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thickness</th>\n",
       "      <td>-0.081672</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>0.074752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insulin</th>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.130548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bmi</th>\n",
       "      <td>0.017683</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.292695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pedigree</th>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>0.173844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.544341</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.238356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diabetes</th>\n",
       "      <td>0.221898</td>\n",
       "      <td>0.466581</td>\n",
       "      <td>0.065068</td>\n",
       "      <td>0.074752</td>\n",
       "      <td>0.130548</td>\n",
       "      <td>0.292695</td>\n",
       "      <td>0.173844</td>\n",
       "      <td>0.238356</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pregnant    plasma  pressure  thickness   insulin       bmi  \\\n",
       "pregnant   1.000000  0.129459  0.141282  -0.081672 -0.073535  0.017683   \n",
       "plasma     0.129459  1.000000  0.152590   0.057328  0.331357  0.221071   \n",
       "pressure   0.141282  0.152590  1.000000   0.207371  0.088933  0.281805   \n",
       "thickness -0.081672  0.057328  0.207371   1.000000  0.436783  0.392573   \n",
       "insulin   -0.073535  0.331357  0.088933   0.436783  1.000000  0.197859   \n",
       "bmi        0.017683  0.221071  0.281805   0.392573  0.197859  1.000000   \n",
       "pedigree  -0.033523  0.137337  0.041265   0.183928  0.185071  0.140647   \n",
       "age        0.544341  0.263514  0.239528  -0.113970 -0.042163  0.036242   \n",
       "diabetes   0.221898  0.466581  0.065068   0.074752  0.130548  0.292695   \n",
       "\n",
       "           pedigree       age  diabetes  \n",
       "pregnant  -0.033523  0.544341  0.221898  \n",
       "plasma     0.137337  0.263514  0.466581  \n",
       "pressure   0.041265  0.239528  0.065068  \n",
       "thickness  0.183928 -0.113970  0.074752  \n",
       "insulin    0.185071 -0.042163  0.130548  \n",
       "bmi        0.140647  0.036242  0.292695  \n",
       "pedigree   1.000000  0.033561  0.173844  \n",
       "age        0.033561  1.000000  0.238356  \n",
       "diabetes   0.173844  0.238356  1.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr() # 상관관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://matplotlib.org/2.0.2/users/colormaps.html 사이트에서 컬러맵 색상 종류 볼수 있음 \n",
    "colormap = plt.cm.gist_heat # 그래프 색상 구성을 정한다. \n",
    "plt.figure(figsize=(12,12)) # 그래프의 크기 피그사이즈 ()\n",
    "sns.heatmap(df.corr(), linewidths=0.1, vmax=0.5, cmap = colormap, linecolor='white',annot=True)\n",
    "# heatmap() 함수 두 항목씩 짝을 지은후 각각 어떤 패턴으로 변화하는지 관찰하는 함수 \n",
    "# vmax 는 색상밝기, cmap = 미리 정해진 맷플롯립 색상의 설정값 불러옮. \n",
    "plt.show()\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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iRDw0sl5GNbwYvpb1Q1g52vyIfgWzHqP5s3EaUc0MM7kN0pDjCGRd6afKF9dto5IqvYiOF8PXelqztTwoLzM0vHmZZ8UeifRIVPmc0Wm+eqOSGb3SC2e2uVHj2TwvPqo16tUio2fF0nwbjZ5ub70RjcuS9RoZHnLdiu/pSEbiMzlZ/YbMs3R6+rQ+6sEj4yc6R8j52ThiVJPD10bye8xoUkx0aGhxfEi0uSyWRoV2o0qrp5NZ92KjfqNxK6Da2tCw5hte7kpW1VzdS7X+jN7WD36XjBrP5mnxNJfRGfVqka2tDQ1v3lrTyMRm4LoVNSIaFNOGRdZLNj7LjH7r1dOI6M948JC6ltfMnJy35jS0+d5cRHtmLkIvb1RXchadin4ppqKfGZ1oLo/R4qM6jUyshpWf9dEjolVZL8JIjy0nMkbRtLRRyYzetg9+14j8dx0ambzRGpIqnUa1XuOs/Ta4bkWN1f3S/Ayj3qr6sojor/TA95VqtMf8ew73IddlPkGPpRbXkGiaGrIOJ6IhYwjPlwdp9Xoa1eacRaeq37PtiwXXr6i1UqNyLyJalfV68Fr0PRGtvcPnzr0gpuo9uXYexOhNOZNXdbs/06sEj7P2q1FR45b6zbDaT0T/bHsCPop1RpVnV6VVoVPR75n6ibJy7zJoGtX7ENGrrqlBNaw63hpnl8+dzNS763c4K2/+1a8iqvUaVbqr/HEqatxSvxlW+4noU0yUM+3dQ0M7p8rzqHouVupIMrrR53VPs0onQsXejWpE+2zs8JnxlPXTtCN5Pa8rfTYiNUa1NXo9exx64QQAAAAAAPfPs9evAAAAAAAALAEXTgAAAAAAsBRcOAEAAAAAwFJw4QQAAAAAAEvBhRMAAAAAACwFF04AAAAAALCUwz4WKfNZV4T1WVOVny8FAAAAAADquYkPfvfiZj6EFAAAAAAArGfJj9TpEsjHDL0LJa3N1gAAAAAAAOsov3C2CyIfuBACAAAAADxcSi+c1ruRM5fOXq5VEwAAAAAAnIOb+C31dunUBi6bAAAAAADn5mY+FokultoAAAAAAADnpvTCSRdAetdRgnciAQAAAAAeLks+FkleOq3LpnUR1S6tGXC5BQAAAAA4DzfxOZwAAAAAAOB2OfTCCQAAAAAA7p/lF87243H+TqY2p5H50TreKQUAAAAAOCdb3uHUfnQe/XF6JC6qBQAAAAAA9rP8Y5G0dylxQQQAAAAAeDgsvXC2iyWNdvFsc9pFFAAAAAAA3B/LfqSuvYsp57QYSfRi2tMBAAAAAADHUH7hbBdEebEktEth79IZuZQCAAAAAIDzgo9FAgAAAAAAS7mZv6UOAAAAAABuE1w4AQAAAADAUnDhBAAAAAAAS8GFEwAAAAAALAUXTgAAAAAAsBRcOAEAAAAAwFJw4QQAAAAAAEvBhRMAAAAAACwFF04AAAAAALAUXDgBAAAAAMBScOEEAAAAAABLeVB/S/1rr7zy5Oubb7315Gs1q/WPYkdf2RotvnFrex7tV/YpWd33jrM/Gw+p59W9VulndFqsxcpzvZX9vBUq+63QuvX9z/pv8ZLR/pddOC2jkt0HR75Ga8qeNJ2efnRfiB06UWb2zaL10HRX1DgT2X4j+7Fjz3adi9yfncjaoz03nR67epR+tLqjvUaJ6Ff5rIqxqPI5w2r9szHabzsrntvTajkNLbZy/zWPq4n69+JG9+CQdzgrDyzL6toR/Z0xVayqxXV7NWg9wojPqDah6Xv5PD7bb6+XSIzE80pIvYjPDLM9r4LXXuFjRNPa20pvo71Kb5ZG1V5GdKpiZhjRpxwLqZXRt3Qj+Z4nydn2syFzZ7QaFRqcKj3S4ViakXpVMZKtF862IRWbK6ncbI7UtWiaEf2dMT1kf5beaC2ur+Vz3dl+duR7Mdn8XvysHw8rT5tf6UNSpcMhTQtei9eu9NHqZ/U8D721CDO9ajltTquv6a/wWRXDWeEziqYV1ffiVnvsQTkW0X4jGjJX0/J0OJbmLBV6Vl+abqReVcxHoAvn795+9PidNy4fGlW8+vLLfxwN+XgWTcvSr6yrEdHfGeOh5VuaI7VkTq/eSA2C8kZzORENLyabH433xihWrjYfqTPjhVOlI8n2MOuD8ttoyMcekbioVo+sjhevre32SXHeWE1VDUsnol8VE6FKh9C0PP1ebble4bVCo9G06OuorpenrUXrZHUjPEOXy+vd8yN84jOvXT750vevj+LQzbfh3YBbXPqWzPBu2dra0K38Cu+L0HRGYix6Pmd0vH3Q1rx4DSte89ziMjW4Ds8nMj45kfpejLXGvRLc76jXWTyvcj7is6oX0omSqZftYaQf7t3LbXG9mIxfC+6J0OIjOhwvXlur9MnJeK5ip0+pw4ns52yMV18y2qNE8+T5jPTA1yPxHC02EhNB89Lzp+HlzNagWI2sxz8i39mU4/fvvn69m56TVbd7SVSrUn8lXr2Kvqx4Oc8fezVojQ+PSIxGJMeLyeaPeKzCqq3NZ/s6I9keju6nYs+19eichxc/oh/N6emsZqdPTyOivzOmEq2e56HnT65ntaJzGSg/68Mjq5XVr6T7OZzv/foH1+8AOA56RcWHRyTmrNArypmxih01dsN7Oltf9Pz1PNGa9xy31i1dmmujh6fR1vhYjayXHWeDPHlnG8E6o0ZFjWpWeSLdNo6keaAevT57Zyex4lutM+H+SJ342HMvXJ7/8rvXRz6ZTdIY2RxvU7W10UOIaln6ND9D06zU0XwSmb4srHg5zx9na1RD9SNYHr18rccj+7Vqa/MRnxQT5Yieoz20mEh8I9O7hlfH0s70IpFrmV450lu0nkRbj87tZLVPyiN6uRn9pinJ5I/0MoJVy/PQ8yfXs1rRuTNAvjiZPgmZnyWyJ6UXziPwDl9b8+J7yAOxDm1Ufyer982Kp3lJi7PqzpDxrJHtO8NK7R7evmpnsNLnjjOO9MBjKnue0dJyo3rR3Bl/ESL6FMPR4lf7jLDCZ9OM5uzcB9mvx4wnr6fRNUKuR+I5WmxP4+wc6b974fyTP/3S5c//6p+vj86JtoHWpq7e7Ft6Mq7eN5nTqzdSYzVHeaK6UVb7O+O5ZIn0wGMqe57R0nIzehTL0fIqez0S2avHLfd79HlV1+/peevZ3GrvEajmDLv9rqR74fzUF16/fPyFb1wfxchscNVmypqWbtUTTutx5xOjao9X7xvX1/K57miNlVT07THb7449O+O5ZIn0wGNme6Z8jaym5mPWm2RGz+pT0tOv0olwhn6jtHpcb8Z/BZX1I1pejLVG8w2+3qvH8zx6njP0PI3Q+pC9E71a0T0gsr6XfCxSlBUb3aOipqUR0V55mBpVe1ylI+G6vRrRvav0uapvokJ7VqPtaW/fV+0BJ+JllKat0erxPmd69nKzulr8jDeNaj1Jlf7ZdCxu7Xyy7D4HL47WNFq8zK3wXqHBqdZraLrRWpG4Ed9P/tLQf/7LX1/+8JsfX6c+4MVH7hufJXiGaY3INtRjZJM4vfxZ/UakTpQdfkbhuhU1qn2O6lFeBEs7mk+cbc9mONILrz3qI5KX0dZis/nESC9VRPckgqcT1SBG96PCZ4YznJ8kcp4e2Z5m6sncnlbz1mOmf8lMfxatj0zvnEjsiO9D/pZ6wzOsbVgFI5vE6eXP6jciOlW1IqyqxXUramQ1KH4Gr9ZsPxX7EWG0zoq929WzBq89sye9PCuG5mew6o72UkW0foXPHb3u2k9eh74nvLotZhRZa5TqvZnZb5kb0ZqpN0J1Pa7Xvpdfe0Tiolofgi6cR9H7ANIVH1BaoWlpVPqNaK3YH4sdtSpq7NyTHrNedvVyT3tWxYwPL/eI/o7e02j9Cp87el1dg/StGt7avVLZb0Rr9/6u7k/ORfcgMrKc+h3O9O05QJUu6Ugq/UZ8ah4sZr2tOg9ORY0dPqNEzsfzuut8o3V27OuunnvMPo+sPnbsoeTo843uZYXPqAYx2u+q/Wy60b0a9X9rVPYa0Vp1vhYV/TXPXEeba/RqVnjSOPTCCQAAAAAA7p/un7YEAAAAAABgBlw4AQAAAADAUnDhBAAAAAAAS8GFEwAAAAAALAUXTgAAAAAAsBRcOAEAAAAAwFJw4QQAAAAAAEvBhRMAAAAAACwFF04AAAAAALAUXDgBAAAAAMBScOEEAAAAAABLOezCSX8cvv1x+VkqtSQrtXdwNv+r/ZytX48Krzv6vQWfq/Wz3Eq/q30SO2pkWO2nSv9WfBIVWpV+NFbrZzmbnx088/h9rt9vhzb7zbfeuj7K0Q6q5c9o9RjVzj6ZKmpoGj3/GZ8Vezy6n1FW68/Q9rr5q/Ba3a/0SJzRp2S1fpYqP9p5EFn9Kp0RejUsb5xITJTVPVfpj+i0fbLgejM+W52WX9FzhYZHT1/2tJrV/Z6Nm71wEjx/5cHNaJ/hCRXxMBND8x4yZ/We9PR7fjkrfHJ/FXuxYj+l5hE+Kd5DavX0m95sH4T0pmmO9hvVsvSrdCqJ1KiM4Wjxq3u29KU3DZ5X7VPqzerz/AqvoxqUx7E0IvoVfUTZWesMLLlwVhy+1GjweJ4/cnAVPnvM5FpI3xaZvZmNsda0+UgtDsVHaJpZfYtqn5o/r4bU8+JGfHo5UvMIn0QmJxI74kGiaUTnelg5WX1PRyPrsyH1sn44FTHaenQuAuVxLA1PX65lYmfJ1taw8i0tS4eQ8Z4fCy3H89LTH/HAoXwPrj1b6+agC+fv3n70+J03Lh8ao7z68svX756izRHWvIWM549ntQhLI6vNmcmtIuJhNsZa0+YjtSQZnRF9jVmfEX+RmEYmtkcvR65namdie2RyIrEjHjhevlwbqUU51pBocw2Zy4dEm4uQ0YrUoJjIsMisebEWWo6lU+XFW4vQq5XV9/JntYgKjcaoftZDBqm9stYZefbdHz9z+cNvfny9fj6F5v/7F397fRTDuq3TXO/W36PylcBKn7shv3xYZGO0cS9ovWnjKKj2LTw/z+iT6rZxq9D+yWHh9ZvRyUL1ND2a457aiMK9auMoqAetPs1l+oswsm87Obu/CniP3shA8Uc+h8+A+1vq7/3731/+5z/+8foIjCKfpNbIQjntf4jbsHR4jAZf53Ha3K1j9aYNcH74v5+HdnYj/bb94vtWDfeV8QbWPYfprCs0V/k7C7y/3gA5uh+L9N6vf3D97jj4P5TV/0NZjXyCeuMhcWvnOEtlv1yrQs9itgbPH9Ww4Lo7//1QHa2X5qMC3lsblbT9auNMaL3z4UG9aDE0t7pP7lHzcGaivmm9ah+rtI488wxn83MU3Qvn//3vb67fHUt7UtGhtQHmoD31Ri9mhtXnWOWzisp+uVaFnsVsDZ4/qkHws2xjRlfT04YF1ZSxM/1xeF9yZJEeaZwZrWdteNC67LmXUwH3t6PeCNxX2xvibL752UUg3zyHxll6IaJ9PASeoV8Qun6v8rHnXrg8/+V3r498vIPW1iJPDB4j4701Dy9WW8to74a8cTSfO/xLH5yK/dRyLJ2IvudXkvHKa0f8aTFWHpGNt+jVIPh6tm42voKMvhVb6XF1v1WM+PRyaE1j915kPPa89bTkWqa2Rsv1dDQi2kRWn8fJGjNakqjGKJa+7ClLpB+t9up+T4f87XQ5fvuzL11/vyhG5jfDer+h1dOyvo/Q0+aMaM+MalZozjDiR8uxdEb7rdgnrhHxF4lpZGJ7WPptXq5bNSwdDWu+ioz+Do8zWpQbGRWM6mh5lpY3PzM8vPVeroaWY+mM6GtU6VhE9SN9RrR6MVE/t4DWi5y7p34jdN/h/NQXXr98/IVvXB/FkK8WIrd/SWSNx3jxFpTDGfEyQrVeQ/ZDrKgzy+hZ8ZzWqzZHjPQ94kvCNSy9SAxBaxwvzlqzkNoE15CaR/nU6HmPYHmZ9RjdiwqyXiv2TRLtd3RfR/MILZf7HfXDqe5XUqVjEdH3YvhaT2u2VhTSILiONrcSrw++VtHvLeFeOD/xmdcun3zp+9dH9VibHT2EXQdXrb3Cq6UZqUUxUaJaXtxI/9Ij5WtzxIg+MZrHkZ4kzfesV06FhkRqnsWnpZHVHtGhtR48N+spS0Z/pN9KRutE8yguQtNa3XdEv3n24o72mVn3YqN9RON6aDoRbYohRj1k86v6vRnobc7KD37PMPt2Ms9f+dZ0tfZuvap6UZ3q/rKM1t/lm9epqLnCt9Q8g89efkbfiq3oszGjRbmREaEXF9WZYbTGKm+re47qr/RB2qP60Vweo8VHdRqZWAut5m4PUXbWOgNPfkv9z/7yjcuLjx5/aABwb9CrSW/0YsBtYp1ldP4I2rse9NUbAFjMPD+qnl+7n6f077XVbP9229xR/5YB43rxPITK2/3KVwrV2iu8WppH7PGK/jIcXT9Dhdcd/Z7Fp6WxYw+yzHqq7OnofRuts8rf6r6j+mfxUUFFrRkNLVfORfQr+oiys9YZeIb+z/XuuZ32yqOCSi1JtfYqr9oruCN8az40buW8VlLhdUe/Z/JJOpIznvdsv1qfGtEaR+7b6F7M7qHFKt1GVF87E41Rr6v1ORV7OqLReuR52lyjV6PlRjii31vm0AsnAAAAAAC4f7p/aQgAAAAAAIAZcOEEAAAAAABLwYUTAAAAAAAsBRdOAAAAAACwFFw4AQAAAADAUnDhBAAAAAAASznswkmfP5X5vCuLKp0qzuYHAAAAAOBoDrtwVn3YaZVO1UXxIX2IKwAAAABAhCUXznZ5q7rEzRLxgYsiAAAAAMAayv/SEF3s5OVNmyOs+Ya8JFqxPR1iNkZ6kfC8SC0AAAAAgIdC6Tuc1kWL5noXNknT4iOrUYn0wgcAAAAAALA5/LfU6RLZRqNdNiU0N3Pp5LW0MQLl4dIJAAAAAGBz+IWzvUu449LGa2kDAAAAAADUU3rhpEub9k7hvb4LiHc3AQAAAAD6lL/D2S6dfOy4lPF6O+jV2e0HAAAAAOCslP+Wega6jGmXUWue0Na8+Eb04he5HPN6o34AAAAAAB4Kh144PTIXudEL3khexNeoHwAAAACAe2TZhZMuXRG8i5nUsGJHL3jZPC+er436AQAAAAC4R075I/UsozrRPIojojVw4QQAAAAAeMqp3+GMsvrCmQUXTgAAAACApyx9h3PXxcuqQ/MzjHrHhRMAAAAA4Cl3feE8Clw4AQAAAACesvzC2aPiYoYLJwAAAADAeTn0l4YAAAAAAMD9c/jfUgcAAAAAAPcNLpwAAAAAAGApuHACAAAAAICl4MIJAAAAAAAWcrn8P6v51CkmwONFAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x29cc39f9c40>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x=[df.plasma[df.diabetes==0], df.plasma[df.diabetes==1]], bins=30, histtype='barstacked', label=['normal','diabetes'])\n",
    "plt.legend() # 각 실행되는 컬럼스들의 범례를 우측위에 표시해준다. "
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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fQz2BPNZ6FtABhH50CmVaAK41js9txNqHdl5x//qcVwGOpaz6AlCW73znO9vtGsAZRvpSl2P0XAZ/UJYYpUZHBUAGDnSobZARdgRCloLXgX34wQe7rf3BqOx3vvbV5t4P7WrufNtb21/iGgo9SoXepdt71D1Z6/zGElIOrDjRYKrGDJU/1i4FsBcfFoRAAy2vvlCxjv0F7ZigMpeOEMolNRcN95g4uiib5zznOe12bdCAY+QGwC6MUPqAPbt27Wq3p7xWepRRnkM8f7iX4KzCfnFYMZqKER88F3iGMSKE0SA0tDU7BPpZwyhhjuOJPOBewCggXrnCZh0wd3JoQh981X5FL+j6MrXetttJqjFHHunjXkGAPrc+rwX0ygdqbug7FxX3OZxXPIuYO2zpZOGeh2MpU45i31Tkvt2BMy3OK5413/OFukamrEE29MGu7jwSMh4DLKN16Bkv2bTmK9aDffT/eFon0TQPrldI/z7gT8i6D7PbQOlKFeuP1qR0jmqOA4uKFpWq7vmiAiqtZOX3rVG5YsQLDaIuM2yjAkYDDVChYrmrJc+ptIClsVAmAEtqhRpONLAYoRCGXssRDp10OnC99FfL0tjDHjQ6uB/RCE51rX78x3+822paBwv3Kj5Qwb2EfdgPhxX3FEal5MMg+cBkiHJEWSAd6ejCFv0suQGvq8WRwT0hK3fAZh3QscBc56HB2xq9zjXWgoWj3/cV/VzB9UKA445rhY6D7zr1DdCLDjqmp7hBL6mXA55H1Ke4z3G/od7McTZRr8tc3dCIbUmbo98Wxd7+aafZ1xmJpV3y7QAhYxH8iMsF68Eedu7/ag4759z2F7gAPvS65/3DLNzvVhDugyeOCJyT2OuwEkobXGulJhUtKlUBjSdGRvqM4uKVESpXOLKotDBCIBU7Gg3MkYLThIYfFeoSXtkJqWkRIWQEBJW0vEbDCI3oE2cRjhbOY8QWH4PUvqd8yHI4uCa4NvKjD/iLj52OO+64dgQT8wJ9oytjgV8t040cygj3K+zGvSYOK+4peR1soe8bC6QDJxl1gYwehYK79F0o9BkpzllGC9N+UFZSXghDPo86T3r+uw/pSAklzpUPPFO4Drin5c0IwL0k9xGCzLetEaBL9IY6rzFQV6BuwNxt6MD9VvM6oQMDp/hNb3pTd8TOs5/97G5rf2fWRX8r4nvmYqPCU9Y7hKQwO7DCo489tnnC6Y+sdfqdr36126oPKjbBffDEocXcujkgo3wWfBWtNKB9KwxUrnBkoctt2HEMTpPVwZgDaEzxhW1sWkQKlCmcQDimuF/gaMgi4K6ziAZ2DOdVwKgUrgns09cK+zKCOTW4p7R94gzCbtxrpffTVCPKQ3HuuefuW0JLj6pKucnoKpw3S5lhqahaID1xGtFRw+vnEPotEEakazvWuKdxD0m54F6S+wihptMEXaI3F9Q7WAsab65gb4mOFOjA4DkvyTM6ltLuYOqTz0HHdZZpbrj+vmlRHGUlSyXbgQUYjZUfOcC8WKxaMAQYwRBcB1ZGEdwHHyNrqIBlaZZSQqMOcKjwOh4B6ejKHiN5pD8oY4x84PpjZAINR+jVWw5wTKFnzs7iVgLPIDoJvvU48XzVdFSmBs4B7h9xliRo5w8/SoFO0uWXX94diVN7apSeToPnwB1pBbhOu7p51wD1LEaTca1wLYeaoztH0EGDcz1UvSAfPUrIfcuEewtvl6RjgrdL0jGBLrRH8sEZZHD95X7UTqseySVkSayt1um2s7j7sv/TPPCPX2y3MT92qJ+cxQOJ0Vb0VAU8nBhBQ2WMhxQVMRatx2sUjC5gNO3YY49tGxCMsAlwVqyg0tav/ASkGfoIAvOQUOn5QOUv5NgxJahU9ZxZVOZWcF2kscPIk75+LrieWLPxy1/+crsOJF6nY6QUDYd2cuZUhvr+wKtF3GtjgmsDZ+OLX/xi62Tgvgepsh4TdELkg0EpIzyrsBsjQTVG9uAcy4d3uEfRMKPj446i4x7DHEjIyjOMhhujWH3sgF6McKGDnTuijJE9mVd58cUXt/HluYHDgVG/2qDsZW611J+4LsgHPvCBY4tzcLRxrVCn4jU3nkPIhZ5r/WxO8TxMgdxTeok+lBXAsdBrfXy46fs4GPcBOtK5wA786qD8rLmQus+lDkNnEgMFUtfKtcyt8wmJ8p0b12/WDzfNjo0pqO0SWvA+1x5qVk84pWkOwBunh9szVoodWMx93ft3f9dulzqwqCBlKkCowkOFCxmpTBH0w4+HDw8pPjTBiIU7qlPq9GgHBfMU+77u3M4OrMSV6435ZL7riQoclW3IudmODqyUGZ4DlBWcezhMuO+x+gacfLwFsHYWhgYdTjSk7rJlaEzRKYFjWbuscJ9ijVO5j2L3KspRL/Y+ZXmhrGSEDA4jrqU4IyijoaZYhBweOM24p2LXaI4OrAxyAJQZBjBqdI4siOOP+w3PJcoQ9ZiMcLrtEdCdHV2PjDX3XpDOn+7IANgsnZihRp/JNmSTAys8PK0De/hbf7858LD8n51FY4LXGroSRcMsc3Z8SMMNZ9VSUZU6PXj9ieW7ao2ELN2BDS3YHUI3ziGkwUTFOeS1HALd8KRsQTmigUXDFWrYIaMde4zguM9F6L4PORVjgmcZy3zh2UWDiNFFafzgYGNkSZ5rfPwVelNRCtLALx6BVGdrKmcr5DgClBmuKz7uGtP5y6WmA4vywK99oeOB+9v6s92Q14MYLksaAdblhvnSQzveqGc+8pGPbOpg6s4LnG/UP0spQ7IQ5uTA7n7zbzffu+225oD1SueId17SHS0DD9V73vMeb6WO0VV5hYVKLvcBL3V6ULliEXmkW+NBHtv50g6WgIYda3q+8pWvNJWjdmBLHCM0dvhgCo0NKkgEXEuMPmDEPHeEqVYZ4tqKM1V6baV8LR0ct6MmZQHcawRwn8tbBZRRysapHVg43XBWZRoDvvz2jTzpe7K2E6vv1RwHdgynAeAe0K/usUybjLbB+cayXlI2GMEbehm3Umo6sECcevyghziluP9PPPHEdlvAB22++gKyeJbl2oOpO7c5SLkhH5iLPxQoZ5lCA/D84ZlFmeL5xT24a9eu9v7E84POaG79TEiUuTiw+AED/EoXOPjEk9p1Y2uASh4NEViq4xhiCjtQlgif+MQn9jkXwDolQjsFNaZR9KVGGaIiR558o/w5r8zk9VuOw4jydEc/4Mji16lQthih9Tl+KaZ2YPU81Fj6aCj1nPSa95S+V60O7NBOg+A6r/jwxnedZU4sSOVhKmo7sDXQ1x4s0YEd4q2ERj+jWLIMqz64WO9TQooYwIEtWoXgvqs2Kn2MvtZyXgEeFlSICGNWgFsVlCEqRTQ6GqvTgAYejRQapKmd11pgVAtOC0be4LCiohZkHp0FvBKHA5bjLOJ6SDyUKQJGb6EDo3FLbCzQIdAOeey5xT2E0UUBoz5TglHuMcBolnQg4aSGrjPejMj9iNFYTMMh8wX3PpxnHdBJs4C4+v7H9CEcGwLYJc8o6nSf8wpwX5555pntNu5XvDUiZM5kO7AP3HBDO/cVP2Zw6IvrOa9kOEo7A3D2tmpnAnnDaGsfJ6bUqUc8lOlWKFd3JDvlhOtfDMIKCrWwlqV2MOQXxsSZwCgVRsQQMN0BAZ0/q1PiA6Nauox863AKuCcxD1ZAXDJf8PEWpr5h9FcC3jBgFQzcO3Iv+QJW0ZE52+Czn/1s82//9m/dXl3w1kdwp2a46I/I0Inqc+8TkmS11m2UkeXA3v/pq5v/+MD7WucVP2aAHzUghJChkLVkLUFAw+s7j6CnMGCJLxwTZ0KPJEMHAl6Xl/xKkqCXWAKpea3awceKE3NmiW8MaoIOMKZ54I2KBk4ifshC3rJIiP3CGDorQ5Wnew/GcDvlOW+lCMmmn/+admAx3xWOKz7a+tYVH2+nDTzx5WcNtu4rIWQ5YORTT8NIjRpihQVB1syMgSkwcBCwCoZOB9s4hikuCFiCyHUYfI5CKmBqiaunz1xU91eOUq+Jc8tnStwflxFCx7cqrtMHRxTPhRuW4PC7I67b7VqSsSlaQ2Af+zmw9370I62jesdrX93cevZZbcDHWvd/7rPNAQc/rnnCztOaw3/v9znySgjZx6mnntptNc3VV1/dbW0GjaMe5bSueQkHAUu4feYzn9nnVGIbx2TOPHS5DkMJGCGtoUeA0yIrTgC8dg4B5xY/6CH0TXtIkKfQFJrQ8THAx29kf/SoPlaFiaHn5aIsp7yWhKTYz4HFB1lPesNvt07qUe99376AZbJ+5BUXNY97/gs6yeWhR2+mZA4V7FAfC4yFdgj64o6QLZ0pRkzOOeec9uMQgLWTfaOwuOcuuuiibm/jC/bcxlE7l6lX8XPC/QnX0Cj1O97xjn0fe+Gr9DmO2KHsMfI91w98ttrzXAO9sgqWKsMv5PnAfbmr+xlh3K/4+JCQOZP9EddSGeuL47miHWesbxsDzga+XNUftUhAozr119E1HVj9O+B4fZty7jGKiPyfcMIJm8oGH25M3TmYwoGFM4lRUVlhAEvx6EYSozr4wEU+ZoJzlrN6w9LBMyO/WQ8HFeWjnyGUD+4dWUJr6CWV+oC8wAkPOdfSkZkKPdo4JjrfWFHAAupYrErh1iOod2uCjiJWXBEw9xvpynQB/MXHirKEFvKC+5Wjr2TuFP+QwVJAhQCmbhTEjtAafEMDxwojPPjaVUZ5SpkqD0OVISpv+cGFPmDUAo7J2BW/XpsT8zinBI0yvnpGZ0CXJzpQcC5k8fTtCJ5BTCHAMm5f//rX93sOl14+8mzm/mJfDVCuz33uc9tBiksuuWSS0XmMXsov0fUF98IQawBL5xvPpnv/wWlF+WGE3Tq1h5As5vRLXEsBIwVTVmwCllbBTyVObceSmcu1nBtwGjGiibmocx25I1sbvJHACDOfTUKIl00O7NrGN1xrD9GBJYQQQgghM2Quv8RFCCGEEELIVNCBJYQQQgghi4IOLCGEEEIIWRR0YAkhhBBCyKKgA0sIIYQQQsZltdZtlEEHlhBCCCGEjEs//5UOLCGEEEIIGZt+q7jSgSWEEEIIIYuCDiwhhBBCCFkUdGAJIYQQQsiioANLCCGEEEIWxboDi0m0/SbSEkIIIYQQssGq/beP9c0NbxMb6/+3KxBsnC9djGDHaj2qSoIQQgghhJBi4FeuwUtdPbyxv9YeWT++HtZwHI7sxiSAVqzAE92x1jy8kQghhBBCCCE92fBXZaQVriuc1XX3df04fE4cbp3ahw9oHl53cjeO5LGj1U7/lRBCCCGE1GBtY7R1w3Fdd1bXndR2lLV1ate31zc3Rl0fWhfFqGwrlsW6A1s2dEsIIYQQQojLqvVQ173Lzr2EI7vWHLjurB6wHtb/7jhg/ciBzcM7cPyAViI3rK0efmjdSZYDhBBCCCGE9GFjaHTDs1z///vfalbf/eb6pvib7ehps1rb0ez4wSObZscPtJI5rK17yZ1/TAghhBBCSA20e1l/kJTrwBJCCCGEkMrIaGt95xXQgSWEEEIIIYuCDiwhhBBCCFkUdGAJIYQQQsiioANLCCGEEEIWBR1YQgghhBCyKGa3jNYvvvCF3VbTXHnVVd1WObX1+Zi7zTX1LbE8azOWfSXp6DjCWGVYu1zmfh8QQgiZjlmuAysNV61Gq7Y+H3O3uaa+JZZnCWIDcO0Yy745lIMmViYgZq+OqxFZn+655Z8QQsg8oAMbwdfghnRMYXNt+6z6cvPq0+tD68tNow/aPje9kB1D2Oezw5KOjpeihr0xm/qWixu/rz5CCCFbk8Ed2JzGFaChsjSQMdx4JY2gL47FrlKbgTUtUNM+kKMvpctHbhyLvMiAHFt8pPIaIjddV18oPTkesstK3/guKX2+83IsBeK48WvbTwghZGsQ/Yjr7utPa269Ym2/8L1v3dCdtYGGJyek0DK5ca2EGk3ZtzbIgtYjtvqCldr21dY3Fjll1hekpUMJupxFx1BlC72h6zo2kt9UIIQQQqx4HVg4qXBWH7jjiu7II+z+/HHNvV85v9uzoxtUQY65x0l/dNmyfO0MVW6iSztqsl07HTctfawP0PE/f/VX922XILZIIIQQQkrwOrBwUmPs+ealzX03/V63Z8PXWHPUZThQtjoslbEdnqnKrW/+dHxtu97uk4bEO2Xnzv305eCzL6QDx3P1E0II2T5scmCto6vf/trrui1C6uE6LuLsaKdnCsQu175alOTPtSemQ5/LtV/rF3J15erAOS1LCCGEaDY5sN/Z/aluK03uKCyZJyFHwud0DAHSkQDm6LiIQyVhDpTYlCMLYtdEjokMIYQQMhabHNjvP3Bbt5Xmoe/+v25rGWhHKdbohhpm2c9xAIZgCPu0Tgmgdl61fjcdCVPis207ovMfuybWayYyukwt+gkhhBAfm5bRwsdbVg5+8nnNoU99d7eXxtdgWY9pQudzj6eQeJpcm4RcGyzyNe3LoaauENY0fGWQYooyCMmH7Bc5X7ySPIeoURY5uLaHyiOWf0IIIWSTA3vHp48yj8Ie8lNvaR5/zGu7vTSpxinVuAmhRi33eE1SaVhtEDmhls01y2AO5ekSkh/K1qHsS+1PhdhhpZa9c8k/IYSQebHJgcVHXFhlwMJRO8t/AyHUIKKhSjVaofO5x2tSajOQcwJkatvcR59rn1DDtlq6Q/nrW4418+7a4rPNIjNnSuyVOD6Wkm9CCCHj4v0lLss0Asvoa6xhAqHGKdUI5uotaVRzmbvNPn0pmzS+eH1tC+kp0V9TlzCkTiGlO5WWq89Cid1WcssmJp+rixBCyPbB68Dihwxia8Hmzn3Nxdpo12gkY0g8MHYjarE5x77SMvBRQ1dKR24aIflSW2vbZ8XVWzOdProkrhVLGhZ7auafEELI1sH7QwY/+IRj2+kBjz58Z3fkEXB8SOfVAhqzMRq0uTeaOfaNVWZka6LvHbmXYoEQQggZEq8DKxx2/Mdbh1UHQgghhBBCpiTqwBIyFDJK53s1HXttjHO+IFiP63M+Su3rC3QOoXeOxMoYDFnOhBBClo13DuzU1G64+ugLNa4hxrZ5CvtqXp+Q/bXKsS9T2zdEWZfqCpWFj5w0Ynrnch8QQgiZF7N0YAkhhBBCCAnBKQSEEEIIIWRR0IElhBBCCCGLgg4sIYQQQghZFHRgCSGEEELIoqADSwghhBBCFgUdWEIIIYQQsijowBJCCCGEkEVBB5YQQgghhCwKOrCEEEIIIWRR0IElhBBCCCGLgg4sIYQQQghZFHRgCSGEEELIolhbrdNtb1t+8YUvbP9eedVV7d8+1NTlo4b+oW2cijHyxfLPJze/Iu9Ss7yWch37ll2ubaGyF+aU1xi1dNW0aSiWYCMhQ0AHtgOVQGkF4FYgfXT5GEJ/SoekaaVmfvtQu+zBFOVfi5zrOKQ91vzG5PqUmZSDjt9Hn1BDh4tr6xBp+LCkU6vMgE+P1QZBZH06S2ytpceCL61ShrKRkDlDB7ajbwWg4+fokkrMh9aRq1/0huSsNsbkcuywkKvLJ2/NVy5ary+NVD598rl2ShpD528ILPpryEgZCVrWjWtND4TkLDpK0HpTaYiNKSx5rSFjIaSnj343bkwXzmli8UpsEv2peCW6fdTSQ8iS2PIOrFQkQughj1UArg5By+v4uZWJRb5Ef0wux8aQbI6OFCldvvPWYykQx4fWo/XmplHLTlCStpVSezQhHRa7a8mEcONadcXkSu1BPMEXX+stTUOwxrfI9bUFxHSEzuF4DMRx45baOpQeHzEZnItRw0ZCFg0c2Dlx13U7V7d8vNkvlHLKySd3W4/gOwZCx0O48nq/ry4fJfpjcjk2+mRz4lsotdU9V8uumN7cNHzyJXaWxAGl8VLk5MtqQ0yubz7c+FPZZLFDHytJAyBeblyJEwo1iOnpk4Ybt1TXUHp8TG0jIUtmViOwt16x1m1t5uAnn9cc+tR3d3tpUj1b91xODzYVP0cXgLwL4rvHc/SnZCzncwjpytET02E9l8qXlZje3DR88iV2Ig4oiZcbJ0VMZ9/8Sj5dYvFDcQTEdW2w2JSSsejQhORx3EXkctLQenR8kGPnUEheQnmy5NWXR6CPC64un4zGZ5vFJh+ptIRc3T57Sm0kZNG0buwM2H3NMzaNvLph7627Ouk0sR6p71xODzYVP0cXsMjn6ndlsO+GseibViy+e65WvmJ6c9PwyffRge2c+CKfCjnE5H3ncvT3jR/C1WHR6YvjhhxC8u5xvR9LA+d0iGGRGRI3bZ8tljxo9L5Fv4Wh9Pgo0e2LU2ojIUtmFuvA/udtH2wevOe6bi/Mnn+9rNuaDt3TxbaEOaLtgs06LAnY6ytjHKuRF7mGOrjHU2hZN/QFOnQ+5Rpa9Yt8KmwVYuUi5yzlJmjZuZVZjj0+GV0eJcEKZN20sZ+jozaxPMi5Ke3zAXtS15mQ7cIsphDc+5Xzmz3fvLTbC3Pgo49sDn/+rd1enNiD7jtnrRikQovFt+oSLPI5+i2yseN9yEkrF9e2odLy6dDHQmnkpA1ZTUgfSOn0pevqz6UkTSFkj0++tp06HTfN1L5LTJeQ0uFi1WNJewnAdhCzPyev7vlY3JiunHgxPTEs8XJ0Qxb45OWcUGIvIUuDDmyHpSLRMq587FwKyIfw6Uzpd8/75FM6aoK0rPS1qUa+UuUVSiMn7ZgszgGrLpCTdg1S9rvnxrAvla57PmWTRT6lwyUkj+MuIhdKtw85Ns8NnXedD7ecfOUGQuUpx6x6UiCeBYvumH2g1EZCFg0c2KnB3FbfnFc3YJ5sDjlzhVJziFK6Qtu1sOoPnXOPD2FjDkOl31evpfwsMin62jkHfHmoUTalpOxxz8dsCp3L0RHCokMfK0kjF6RhDaX4dPlCLUK6fMf1Mff8GDbFSNkLatpIyFKYzSoEd37h55LzYJ947K7mMUe+rNuz4faCQ73UWA/Wck7LxORLsehPpZtjI85biekJkUo/B9fWUr0xm/S5kJwlT9rWUjtz0OmlKLHH1R/SYSkbIWSzpWxdGX3MPR+yKXRciOm0gnhCyobSNIZgaFtK9OuyFGI6fGnoY+75EptC5OqKycdsJmRb0LqxM8E36irhni+f10kNQ6gHa+3ZarnS3jDiWeL6ZHLTLLXRpVSPNR7kUkHj7ltJxdPnQ7Kx4xKEkOxUDG2PVX9MzqJDy7jyqX1gSUOTK29F602lgfOWUINaekLk6g/Jp/To865sar8PVl2Qy0m3po2ELIXZ/RLX3def1jxwxxXd3gZH7RzexL492Fq94bF60ql0cN5Kib1D5TNXr+QzFUfrDaUhulxCsjl2lhKyyceQ9ljyW1MGuHJuXIuuFDV0+NB6x7AT562U2mJNw6rfkidLnl0ZN15KTw41dWmG0kvInJmdAzsVfSsAHb+PrrEqIks6ffPRh7mVn9ZbI42QjiHKbagyycFiQy2ZEG7cGuVSQ4cPrXcsO4fKi6ZmGildpWm58XL0QLYPpWVTmldCFg0cWDLNayIfY70KevlLX9pthfnfF1/cbS2HMcqvRhov3rmz2xqese6pGFYbYnK181FD3xhlO5adS8mLJqSvZjpjlEtflmAjIbXhCGxHzR6sWddNNzXNMcdsbN95Z9Pcckvz2k98otm9e3fzqrPOag64/fbm/f/0T97997/97a18c/zx+8W37t90zTXNMT/0Q1H5mz/72WD6te2ptY/y+70/+AP/+YMOappDDtnYB7r89+5tmuuvb5qTTkrun3Haac1HP/ABs7xv//9ee23z3x98sDh+zj7sffUFFzSP+epXmyu//e3mS//4j8H9o88995H46+eaI47Y2O9JjVGs2iNMNZ75mvVGiLHsDJW7j1J7rGnk6PfprHlNapT/0CzBRkKq07qxZBpOO221uvba1Wr37tXqhBNWq5NO4v6Q+9/6VlfwHeefv1p97GOr1Z49q9XznrcRuP/I/s03dwVFCCGEzAs6sFMijsIzn7la3Xgj94fed/mv/1qtXvzi1er44zccXe7vv08IIYTMFE4hmBq8qsXr7aOP5v4Y+y7f//7GVIKf/mnu+/YJIYSQGUIHlhBCCCGELIod3V9CCCGEEEIWAR1YQgghhBCyKOjAEkIIIYSQRUEHlhBCCCGELAo6sIQQQgghZFHQgSWEEEIIIYuCDiwhhBBCCFkUdGAJIYQQQsiioANLCCGEEEIWBX+Ja51ffOEL279XXnVV+7eUWnqGZqvml9cxjsi71Mrnksp/btd4bvYshe1Wbrn5FXmXmuU1p2uwne6HWnkdusyGtJMObAcKp8YFrKVnaOaUX9+NWcpY+RKbLdSwJ4Q1vzG5WmUGaumqaZMAnUD0psrESqmdOfbMFV1Oru2xc1bc6+DTU1JuojcnnmtLjNL8WrDmNyZXUmaCr+z66KvNGLZIGVgY0pZaeR26zIayc8s6sNYbTApjyhtBbO2Tfiq/ru6x8mvNW0hPrXzV0pNLXz1id0iHRX8NGbFD45O3pGWhlh4XrdeS55QNfe3MscfFJ9/Xnlws6Q1tU6n+oezqqxfxQUiHRX8NGbFD0LJuXEt6IKYT9D0PrLaMQYktbh41vvII6a+lpwZD2ckR2I5QAccKF6QK2EppPAs+3an03HyHZC1215LRhORz9QBfnJQenLeSa49LzBZLfmvJWEjZGsKNk2tPTDcQXVpvKg2LDRYdgk8uxx4XN66Qo6MvFptL8mVB570kz0PZBUrs0cRss9hdSyaEGzdXV0w+dM533HqsNkjDSi1bauW1pp4QffWH5DcdhwM7J+66bufqlo83+4U+nHLyyd3WBth3jwHfMSF2ziVHViiJk0ON/IbkLbbXktH0scfFF2cIm0uJpWO1oYYOCyW6fHFq6EnpTaVhsSEm457zyepjlvRS1NCRgyW9oW0q0S9x8Dcn/tB5EWLpWG2ooSOEGz9XX65tOfK5tpQyVjoglFauDbX0xPDpGsrOWa1CcOsVa80Dd1zR7T0Cjt/7lfO7vTzgreueQk4vYExivZkxCfV83HLMBXFjgfhB2dS4Z+X6+UJMv0/eDVsZX351CIFzbrn2fYa2I7qsY2VnkREgI9cGf+d2XbR9fZB8+UJMv09ehxqEyhzHauR9O1Hr2tTQg7h9r19Kx352do7s5Oy+5hmbRl7dsPfWXZ10Hq7XnttDiJ1zyZEFWh7bufEt+HSG0omln6NHU0tGE5LP1QN8caw2W0IfUvFz9Ptk+9rnUqKvll1unJTekjSshHTHbMy1xycf04FzOoSwyoHUeWCR8eGLZz3mA3IxWYse0ZEKfUjFz9Hvk+1rH3B1lOrU8WI6cs6V2II4EjSh40Cfi4W+xHTk6K+lJ0ZIj1W/yFn1zGIE9j9v+2Dz4D3XdXth9vzrZd3WMOzn2Y8A0tE9DWwjlNggcXxhyfjygyCEjru4cjqUItcrFbYKNcrMBbrGLqPaechF0i+1oSQu5N370qfDKrckYL/OVwhLXkVHKmwVpOx8yLlUmdUAZepLB8dqlLfocHWFjgMcs4Q+1MpfLT0xdBrY1sGCjo+/lniz+IgL0wP2fPPSbi/MgY8+sjn8+bd2e3Z0wehtoAtJH9e4cWK4he6LJzIpnTnpghp2xnT4zlnS7CtjiS8MrQfH+2BNH4gNqTxpRK62na4NIZtC9oSI6UnFdbHYqI+VpGElpDtmY649PnnrMcGafuhcLI5gkfHhi2c9VhPo70OObZKXWJ5ce0Sutp3aBtee1H4OYrclvsgKvjiltoTi6eNu+rlY7ZJ0UvKpvNbSk0Lih/RY7LTE2yTXjsNOzD1fPs87ZcANt199ZBcjDYaaLUHQ2y6xcy4pPTm6QK20XUKyMR2+c5Y0IWMJIWLnXMbQMxbahpA9Y9iZk3aOPTHZkny5cVL2hc73CYLe1rjHLXFC+OStx4Q+6QNLnBK9AuLq4KOP/rmh8zJlfn1pxGwrtSmmM0ZMFud0yMGVz43fl1ybQ7K19Fhw4/p0hfTjeE7aruwsHFjMbfU5rG7APNmhiBWipYDlQlhkhyIn7Zis71xIfoz8DpmvEGPkK4Yvfeux2oTS6GNPSq4kX26clH010ogxtD0pfUJMb5/0gSVOid4aIN0+YWx8aVqP1SaVrnu+1KaYzhgx2VJbgBu3j67tQKh8hipHV89s1oG98ws/l5wH+8RjdzWPOfJl3V5dYkPcseFtQc7H9AyNJW2fzT60HAjJjpHfnDRishY9Ot8xWS2XIrd8cvJgyZMQsjkVP5SG77jFnloyLjoOtoG7D/SxPmlY8KWr0fpKdLvy1mNCn/SBJU6JXgFxLZToz7XLaguoWY7uuRy7Qzan4vvS0Mf62CSk0ogRiivk2qIR3TFbdFopSm2xppHSX0uPS6x8gD6fknXx2eyN37qxM8E36ioB0wxKgdee6gHEzkt8N/gIHR+DmE2uzbXsrKUnRiyNnHyFzokOq54ccvUMJR+Ts+hwZUJxUrosaQGrnAZxJPj2QWjbxY0nxOKUYLXHh9W+mF5r+qFzsTiCRSZGKn6p/r52hcjVO5R8TM6iQ8u48qn9FDF5n25LEPR2CRK/rx5QQ0eMWvpz9QwpH5L1HZ/dL3Hdff1pm9aCPWpnfxNzewCljJWOD1+vBfjsqWXnGPkN5Qu4acfsqVk+MZtchiyflJ2gpowQkg3pkbipNASLPSVovak0fOdr25Vjj0uOfVbZHJ0gdk6wyMRIxS/VnxsP8lb65DeFxe6aMsCVc+NadGli8rm6XPrGBykdOG+lry0xauQV1NITwqrfUu76/Lb5KdmhL5AQSgfH+1Db9lrlMbf8Dp0vTa20+lDLzjHLzcJQZav1ptIYygZNjj0C5Cy4utx4obSscsBiszVfIVLxS/WXxOublxpYbKglE8KNa9UFOY0bJ3XeQp98CRYdNdLpSy0bhs6LVX9KbtN5OLDbgdwh71LOO+ecbmve1CqPscrVypj5mkPerTbE5Grmo5auMco2lcYYNmjGTq8GFpv75gvxU6GEkniladXEakNMrnY+5lAuQl9bapTvWNSyYei85OgPyfqOb80R2Jtuappjjnlk+z/+o3ntJz/Z3H///c0FL3hB09x9d/P+f/5n7/67L7ywlW+e+cz94lv3b15P5ymHHloc37T/xCduhB4speeWy5j5goyVocooJ78he2vaNmb59yWVRqi8fIya57/920fqg717mwZxXvzi8fa//e2mOeKIdleXkWt77FwO5nLJpESvzlOKIWwGOXaH7K1t21DXqITS6ypxrPFDZetjqLKpVe619ITI1e8rW1/8renAnn5601xwwYaTd+65TXPQQU3zutdtnf1PfappHvvYLrOEkG3F61/fND/8w01z9tkbdd0hhzTN058+3v4f/3HTHH10ZwwhWwNxmoZ05Ehl4MBuOfbsWa2e97zV6oQTVqvdu7fePiFke3PhhavVU5+6Wl177TT7hBAyMVv3Iy686kL40R/dmvuEkO3NN76x/0jo2PuEEDIh22YVAkIIIYQQsjXY0f0lhBBCCCFkEdCBJYQQQgghi4IOLCGEEEIIWRR0YAkhhBBCyKKgA0sIIYQQQhYFHVhCCCGEELIo6MASQgghhJBFQQeWEEIIIYQsCjqw2wD8xrP8znMpNXSAWnrGoIatNfM7N3tCLMXOGtS0c8g819I9pI1gbnbW0jM0c8tvLT0h5mZnLT2gpi6XIXVPAR3YAZnyZtFpX3nVVe3fPtTQAWrpGYq5ldtcr6NG2whiaYhsKAgldsb0DcXcrm8Iq25ddmKXpqaNvjRq6R9Tjy6vVBiKJZZbH7ZafvX90UeXvtdEn2bo6zI2W/qnZHEB3QvmOzYkY6en0WnXsKNWXkr1IF4OpbZay821JyZXaguw2iOIXUPZ48PVWZJGDR01QfqakC197dTxc3W5NmpcPX3tFEpt9MXx6bLqF73AqhvoeD5K7UlRS0+IMe10y9AnP2V+Xfs0bpyUnT5dQ+RXx++rK8aQusdm2ziw2BbGvHhD3Cw6Ly46LTf/ITtcfTE537mYPcCNE7NlSGJ2anu0fbE8W/MVOi7gvJCKn9IlxOSsOgRtn0vIrtw0QK6OmF0hrDb50g7Zk2NnKn5Kl4VcO7V9MfrYmGOTRb8rk6sndC5XTw4lehAnRI6dtfQA33nrsRQ17XQJyZfY6SOmJ5QvLa/j59gU0u1Sonv2wIGdE3ddt3N1y8eb/UJNTjn55G5rHIZKz6JXy4TkfcdzZIXYOZccWR8x+3J1++T1sdR5l77yqfgxXZqcNC2k4rjnLWmk4lh0DEEsXd+5HPlU/JguKyEdNXSDEj2IkxNihM67x2N6rDpATA/AeWuohU9Xif5cPTnnSuwJkWunj5B8LTv72qP3a9nkY0jdYzOrObC3XrHWPHDHFd3eI+D4vV85v9tbHujxWMLYIE1fTwzHprDHSsi+pfUqfeVfo+xD13XO1LAZOtwwJUh/iOsbQ6cpZSDBQkkcK7DLDb7jS8O1PxTmBq6v2DXUNa+BtrOUlA5f/vWxUJgbVvssMktgNg7snV/4uW7Lz55vXtr8520f7PZs5F4cfVFjca1yQCovSyBkCHLu17lhtRvnfc/U0vLbBykDybNbFil8ZTjH8vPZJbbPlbnbJ9d7zjaWImUfu5d9+dfHQmFOSD51COVZyyyZWTiwcEwfvOe6bi/Mnn+9rNuKg4sWu1l9WC++VW4KYIcOY+Omr23wHRsbbYNri+9YiNS9UYMce3zoePperWWfjz42a7u0DovdkA2dx/ESe3IRm61p5cqngB4pg5I86/iakC4ckzAFYpcEn+010WkJ+lgq+ORLQdy++S3VEbsfhrgGWi+2dbCg44dst5CbbgrRU1vvtqObSjAp93z5vE3zXn3h9quP7GLY8M31sB4T9Dmr3BhY0kvZnpufXPkQObIhcu0TcmVi8jinQ4jQOetxvR9LB1hkUzp85KQLfPI4ZgmC3o6RkrPq0fjihPT0Pa73Q3FilKTjknMuJhsCcULBxXeshJie0Lkh7alFzHYdQsi5kEwsriBpSPBh0RND4pfqt8bL1RPTq0MM33l9LBXfR0qnUKJ7rnAd2Ero3qfuVZUE4sctI73vOzY0uOY6zA3YNEY5WHHLKxRyQZxQPnG8j04dSvQMScquHHslvy618g0doVAbKZcUIqfD3IGNsTJLlauOj7+SZ8m/7KfQaYTSArl6Bcj77LQg6YXsitnr4tMTswfnJISI2dYHsUuHIdKZFZ0jOyl7b93lHXF1w+5rntHFsFGjR6LPzannYrHFYrvveI6sEDvnkiNbG0vaWmZoW139vvSs9oTOWdJIkYpTI42+IE03jEEsHfecT1YfG9Jmi27I6ODDomcIXNtCQdDbfailpy8pO0rPu8dz8huTzdGjGcLOGCV58B232mPRadW13ZnNOrD4iCs1D/aJx+5qHnPky7q9NL4eiPWYoM/NqUdjscVqO85pYnIl51xyZGtjSVvLpORx3oJVh0/OYo/FzpSOGLF0BX3eYo+FXDtBSf76kJNXn5yOX8N2nZ5Qszz62OizzYdVf8yWGmUJUnqseQJ9yi0Vt09Z6POWtASfLI4JVj3CUHYCbZeQih9Kw3fcYk9MRp+z6PKBeBZKdM+S1o2dCb5RVwmYJ5uLtZcU6+1Ye0UhvbE4fRDdviCEtkuJ6ZC0Q0Hj7o+Ja5cOQmg7RErGoiNGyp5c/SX2II4vCHobuPsllOqokbYAXSl9fdPT8Wvq0vTVqxnKRiFHf0zWogcyNeypJePDGi8kl5tuTI8lCHrbwpDyIVmLDlemVFfO+ZRsjL52LIkt/UMGvgsVunhW2RydIHZuaHTaNeyolZcpy8RCbrmlZPrmN9eeFDV0uLg6U2ngvCWUUBovRG19Llp/n7RScS26IdPHBgs17BRislY9NfJr0ZGbDuRz4tTIB5ibnhBW/Sk5ix7ISAgROpeKJ2gZi3yIVNw+uufG7D7iOuz4jzdH7VztF3LBMLoMpcu275gGQ+paDsE3zG6VI/Vwyzs3kPkhzwz+xoIP3zXWISVDwoTKnIxP7Bkg4yLXouR68DoOx2zmwG5V0GDO4eatYUetvMylTCxYbIVMilr5ndN1jGEtt6HtqMGYdvZNKxQ/R+/Q+YX+FDVsteajRn4teQJDl2sN/XPTEyJHf0i2po1z0YW4KWrZOTVb04G96aamOeaYje0772yaW25pmuOPH2//oIOa5pBD2l3LzSQMeVPVeLhqPaC19IyBxdYx8zOn6xjDWm4pxirXGBY7QQ1ba11flxydQ+e3Rh4tWNOpkd+x8hSjlg1z0xMiVz/kXWraVzO/fXQNXe5zYms6sKef3jQXXNA0Rx/dNGec0TQHHtg0b3zjePtXXrnPgSWEEEIIIXXZmg7s3r0bTiz+Xn550xxxxLj7MvpLCCGEEEKqs3XnwMKZxOt8jIpOsU8IIYQQQgaBH3ERQgghhJBFMbtltAghhBBCCIlBB5YQQgghhCwKOrCEEEIIIWRR0IElhBBCCCELomn+Pzwed9X6z6ldAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>pregnant</th>\n",
       "      <th>plasma</th>\n",
       "      <th>pressure</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>pedigree</th>\n",
       "      <th>age</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>180</td>\n",
       "      <td>32.9</td>\n",
       "      <td>0.171</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>2</td>\n",
       "      <td>122</td>\n",
       "      <td>70</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>0.340</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>5</td>\n",
       "      <td>121</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>112</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.245</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>1</td>\n",
       "      <td>126</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>0.349</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>0.315</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>768 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     pregnant  plasma  pressure  thickness  insulin   bmi  pedigree  age  \\\n",
       "0           6     148        72         35        0  33.6     0.627   50   \n",
       "1           1      85        66         29        0  26.6     0.351   31   \n",
       "2           8     183        64          0        0  23.3     0.672   32   \n",
       "3           1      89        66         23       94  28.1     0.167   21   \n",
       "4           0     137        40         35      168  43.1     2.288   33   \n",
       "..        ...     ...       ...        ...      ...   ...       ...  ...   \n",
       "763        10     101        76         48      180  32.9     0.171   63   \n",
       "764         2     122        70         27        0  36.8     0.340   27   \n",
       "765         5     121        72         23      112  26.2     0.245   30   \n",
       "766         1     126        60          0        0  30.1     0.349   47   \n",
       "767         1      93        70         31        0  30.4     0.315   23   \n",
       "\n",
       "     diabetes  \n",
       "0           1  \n",
       "1           0  \n",
       "2           1  \n",
       "3           0  \n",
       "4           1  \n",
       "..        ...  \n",
       "763         0  \n",
       "764         0  \n",
       "765         0  \n",
       "766         1  \n",
       "767         0  \n",
       "\n",
       "[768 rows x 9 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('./data/pima-indians-diabetes3.csv')\n",
    "df"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.iloc[:,0:8] # 세부정보를 x로 지정\n",
    "y = df.iloc[:,8] # 당뇨병 여부를 y로 지정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 8)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768,)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# model = Sequential()\n",
    "# model.add(Dense(12, input_dim =8, activation = 'relu', name='Dense_1'))\n",
    "# model.add(Dense(8, activation='relu', name='Dense_2'))\n",
    "# model.add(Dense(1, activation='sigmoid', name='Dense_3'))\n",
    "# model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " dense_4 (Dense)             (None, 30)                270       \n",
      "                                                                 \n",
      " dense_5 (Dense)             (None, 1)                 31        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 301 (1.18 KB)\n",
      "Trainable params: 301 (1.18 KB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(30, input_dim =8, activation = 'relu'))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# model = Sequential()\n",
    "# model.add(Dense(16, input_dim =8, activation = 'relu', name='Dense_1'))\n",
    "# model.add(Dense(12, activation='relu', name='Dense_2'))\n",
    "# model.add(Dense(8, activation='sigmoid', name='Dense_3'))\n",
    "# model.add(Dense(1, activation='sigmoid', name='Dense_4'))\n",
    "# model.summary()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>pregnant</th>\n",
       "      <th>plasma</th>\n",
       "      <th>pressure</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>pedigree</th>\n",
       "      <th>age</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>180</td>\n",
       "      <td>32.9</td>\n",
       "      <td>0.171</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>2</td>\n",
       "      <td>122</td>\n",
       "      <td>70</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>0.340</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>5</td>\n",
       "      <td>121</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>112</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.245</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>1</td>\n",
       "      <td>126</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>0.349</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>0.315</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>768 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     pregnant  plasma  pressure  thickness  insulin   bmi  pedigree  age  \\\n",
       "0           6     148        72         35        0  33.6     0.627   50   \n",
       "1           1      85        66         29        0  26.6     0.351   31   \n",
       "2           8     183        64          0        0  23.3     0.672   32   \n",
       "3           1      89        66         23       94  28.1     0.167   21   \n",
       "4           0     137        40         35      168  43.1     2.288   33   \n",
       "..        ...     ...       ...        ...      ...   ...       ...  ...   \n",
       "763        10     101        76         48      180  32.9     0.171   63   \n",
       "764         2     122        70         27        0  36.8     0.340   27   \n",
       "765         5     121        72         23      112  26.2     0.245   30   \n",
       "766         1     126        60          0        0  30.1     0.349   47   \n",
       "767         1      93        70         31        0  30.4     0.315   23   \n",
       "\n",
       "     diabetes  \n",
       "0           1  \n",
       "1           0  \n",
       "2           1  \n",
       "3           0  \n",
       "4           1  \n",
       "..        ...  \n",
       "763         0  \n",
       "764         0  \n",
       "765         0  \n",
       "766         1  \n",
       "767         0  \n",
       "\n",
       "[768 rows x 9 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/200\n",
      "154/154 [==============================] - 0s 753us/step - loss: 4.7815 - accuracy: 0.4818\n",
      "Epoch 2/200\n",
      "154/154 [==============================] - 0s 857us/step - loss: 1.3066 - accuracy: 0.5951\n",
      "Epoch 3/200\n",
      "154/154 [==============================] - 0s 792us/step - loss: 0.9313 - accuracy: 0.6536\n",
      "Epoch 4/200\n",
      "154/154 [==============================] - 0s 872us/step - loss: 0.7757 - accuracy: 0.6576\n",
      "Epoch 5/200\n",
      "154/154 [==============================] - 0s 850us/step - loss: 0.7742 - accuracy: 0.6719\n",
      "Epoch 6/200\n",
      "154/154 [==============================] - 0s 868us/step - loss: 0.7487 - accuracy: 0.6602\n",
      "Epoch 7/200\n",
      "154/154 [==============================] - 0s 752us/step - loss: 0.7343 - accuracy: 0.6849\n",
      "Epoch 8/200\n",
      "154/154 [==============================] - 0s 758us/step - loss: 0.7576 - accuracy: 0.6680\n",
      "Epoch 9/200\n",
      "154/154 [==============================] - 0s 785us/step - loss: 0.6609 - accuracy: 0.6719\n",
      "Epoch 10/200\n",
      "154/154 [==============================] - 0s 743us/step - loss: 0.6343 - accuracy: 0.7057\n",
      "Epoch 11/200\n",
      "154/154 [==============================] - 0s 889us/step - loss: 0.6415 - accuracy: 0.6914\n",
      "Epoch 12/200\n",
      "154/154 [==============================] - 0s 745us/step - loss: 0.6676 - accuracy: 0.6849\n",
      "Epoch 13/200\n",
      "154/154 [==============================] - 0s 877us/step - loss: 0.6289 - accuracy: 0.7135\n",
      "Epoch 14/200\n",
      "154/154 [==============================] - 0s 742us/step - loss: 0.6318 - accuracy: 0.6940\n",
      "Epoch 15/200\n",
      "154/154 [==============================] - 0s 752us/step - loss: 0.6708 - accuracy: 0.6888\n",
      "Epoch 16/200\n",
      "154/154 [==============================] - 0s 766us/step - loss: 0.6392 - accuracy: 0.6966\n",
      "Epoch 17/200\n",
      "154/154 [==============================] - 0s 867us/step - loss: 0.6225 - accuracy: 0.6979\n",
      "Epoch 18/200\n",
      "154/154 [==============================] - 0s 747us/step - loss: 0.6279 - accuracy: 0.7266\n",
      "Epoch 19/200\n",
      "154/154 [==============================] - 0s 874us/step - loss: 0.6255 - accuracy: 0.6953\n",
      "Epoch 20/200\n",
      "154/154 [==============================] - 0s 883us/step - loss: 0.6093 - accuracy: 0.6888\n",
      "Epoch 21/200\n",
      "154/154 [==============================] - 0s 741us/step - loss: 0.6017 - accuracy: 0.7018\n",
      "Epoch 22/200\n",
      "154/154 [==============================] - 0s 880us/step - loss: 0.6244 - accuracy: 0.6914\n",
      "Epoch 23/200\n",
      "154/154 [==============================] - 0s 754us/step - loss: 0.6037 - accuracy: 0.7031\n",
      "Epoch 24/200\n",
      "154/154 [==============================] - 0s 740us/step - loss: 0.6090 - accuracy: 0.6901\n",
      "Epoch 25/200\n",
      "154/154 [==============================] - 0s 763us/step - loss: 0.6427 - accuracy: 0.7044\n",
      "Epoch 26/200\n",
      "154/154 [==============================] - 0s 874us/step - loss: 0.6313 - accuracy: 0.7018\n",
      "Epoch 27/200\n",
      "154/154 [==============================] - 0s 739us/step - loss: 0.6210 - accuracy: 0.6992\n",
      "Epoch 28/200\n",
      "154/154 [==============================] - 0s 765us/step - loss: 0.5729 - accuracy: 0.7135\n",
      "Epoch 29/200\n",
      "154/154 [==============================] - 0s 759us/step - loss: 0.6249 - accuracy: 0.7044\n",
      "Epoch 30/200\n",
      "154/154 [==============================] - 0s 889us/step - loss: 0.6136 - accuracy: 0.7083\n",
      "Epoch 31/200\n",
      "154/154 [==============================] - 0s 744us/step - loss: 0.5768 - accuracy: 0.7109\n",
      "Epoch 32/200\n",
      "154/154 [==============================] - 0s 882us/step - loss: 0.6411 - accuracy: 0.7005\n",
      "Epoch 33/200\n",
      "154/154 [==============================] - 0s 752us/step - loss: 0.6125 - accuracy: 0.7070\n",
      "Epoch 34/200\n",
      "154/154 [==============================] - 0s 884us/step - loss: 0.5952 - accuracy: 0.7161\n",
      "Epoch 35/200\n",
      "154/154 [==============================] - 0s 825us/step - loss: 0.6450 - accuracy: 0.6979\n",
      "Epoch 36/200\n",
      "154/154 [==============================] - 0s 791us/step - loss: 0.6097 - accuracy: 0.6979\n",
      "Epoch 37/200\n",
      "154/154 [==============================] - 0s 875us/step - loss: 0.5557 - accuracy: 0.7201\n",
      "Epoch 38/200\n",
      "154/154 [==============================] - 0s 848us/step - loss: 0.6072 - accuracy: 0.7161\n",
      "Epoch 39/200\n",
      "154/154 [==============================] - 0s 893us/step - loss: 0.5567 - accuracy: 0.7279\n",
      "Epoch 40/200\n",
      "154/154 [==============================] - 0s 741us/step - loss: 0.5374 - accuracy: 0.7539\n",
      "Epoch 41/200\n",
      "154/154 [==============================] - 0s 896us/step - loss: 0.5553 - accuracy: 0.7253\n",
      "Epoch 42/200\n",
      "154/154 [==============================] - 0s 861us/step - loss: 0.5888 - accuracy: 0.7096\n",
      "Epoch 43/200\n",
      "154/154 [==============================] - 0s 872us/step - loss: 0.6092 - accuracy: 0.7122\n",
      "Epoch 44/200\n",
      "154/154 [==============================] - 0s 860us/step - loss: 0.5637 - accuracy: 0.7370\n",
      "Epoch 45/200\n",
      "154/154 [==============================] - 0s 1ms/step - loss: 0.6169 - accuracy: 0.7031\n",
      "Epoch 46/200\n",
      "154/154 [==============================] - 0s 818us/step - loss: 0.5580 - accuracy: 0.7279\n",
      "Epoch 47/200\n",
      "154/154 [==============================] - 0s 789us/step - loss: 0.5645 - accuracy: 0.7292\n",
      "Epoch 48/200\n",
      "154/154 [==============================] - 0s 843us/step - loss: 0.5710 - accuracy: 0.7266\n",
      "Epoch 49/200\n",
      "154/154 [==============================] - 0s 885us/step - loss: 0.6040 - accuracy: 0.7266\n",
      "Epoch 50/200\n",
      "154/154 [==============================] - 0s 873us/step - loss: 0.5878 - accuracy: 0.7109\n",
      "Epoch 51/200\n",
      "154/154 [==============================] - 0s 896us/step - loss: 0.6081 - accuracy: 0.7161\n",
      "Epoch 52/200\n",
      "154/154 [==============================] - 0s 896us/step - loss: 0.6693 - accuracy: 0.6732\n",
      "Epoch 53/200\n",
      "154/154 [==============================] - 0s 854us/step - loss: 0.6131 - accuracy: 0.7240\n",
      "Epoch 54/200\n",
      "154/154 [==============================] - 0s 836us/step - loss: 0.5954 - accuracy: 0.7331\n",
      "Epoch 55/200\n",
      "154/154 [==============================] - 0s 796us/step - loss: 0.5541 - accuracy: 0.7344\n",
      "Epoch 56/200\n",
      "154/154 [==============================] - 0s 871us/step - loss: 0.5558 - accuracy: 0.7292\n",
      "Epoch 57/200\n",
      "154/154 [==============================] - 0s 775us/step - loss: 0.5508 - accuracy: 0.7422\n",
      "Epoch 58/200\n",
      "154/154 [==============================] - 0s 850us/step - loss: 0.5485 - accuracy: 0.7318\n",
      "Epoch 59/200\n",
      "154/154 [==============================] - 0s 765us/step - loss: 0.5701 - accuracy: 0.7188\n",
      "Epoch 60/200\n",
      "154/154 [==============================] - 0s 860us/step - loss: 0.5837 - accuracy: 0.7357\n",
      "Epoch 61/200\n",
      "154/154 [==============================] - 0s 808us/step - loss: 0.5597 - accuracy: 0.7331\n",
      "Epoch 62/200\n",
      "154/154 [==============================] - 0s 817us/step - loss: 0.5865 - accuracy: 0.7214\n",
      "Epoch 63/200\n",
      "154/154 [==============================] - 0s 763us/step - loss: 0.5721 - accuracy: 0.7188\n",
      "Epoch 64/200\n",
      "154/154 [==============================] - 0s 745us/step - loss: 0.5636 - accuracy: 0.7396\n",
      "Epoch 65/200\n",
      "154/154 [==============================] - 0s 741us/step - loss: 0.5592 - accuracy: 0.7344\n",
      "Epoch 66/200\n",
      "154/154 [==============================] - 0s 858us/step - loss: 0.5552 - accuracy: 0.7318\n",
      "Epoch 67/200\n",
      "154/154 [==============================] - 0s 740us/step - loss: 0.5365 - accuracy: 0.7578\n",
      "Epoch 68/200\n",
      "154/154 [==============================] - 0s 770us/step - loss: 0.5801 - accuracy: 0.7331\n",
      "Epoch 69/200\n",
      "154/154 [==============================] - 0s 738us/step - loss: 0.5315 - accuracy: 0.7305\n",
      "Epoch 70/200\n",
      "154/154 [==============================] - 0s 766us/step - loss: 0.5158 - accuracy: 0.7526\n",
      "Epoch 71/200\n",
      "154/154 [==============================] - 0s 777us/step - loss: 0.5596 - accuracy: 0.7214\n",
      "Epoch 72/200\n",
      "154/154 [==============================] - 0s 822us/step - loss: 0.5970 - accuracy: 0.7201\n",
      "Epoch 73/200\n",
      "154/154 [==============================] - 0s 764us/step - loss: 0.5563 - accuracy: 0.7201\n",
      "Epoch 74/200\n",
      "154/154 [==============================] - 0s 764us/step - loss: 0.5773 - accuracy: 0.7357\n",
      "Epoch 75/200\n",
      "154/154 [==============================] - 0s 747us/step - loss: 0.6195 - accuracy: 0.7201\n",
      "Epoch 76/200\n",
      "154/154 [==============================] - 0s 805us/step - loss: 0.5898 - accuracy: 0.7279\n",
      "Epoch 77/200\n",
      "154/154 [==============================] - 0s 729us/step - loss: 0.5508 - accuracy: 0.7448\n",
      "Epoch 78/200\n",
      "154/154 [==============================] - 0s 785us/step - loss: 0.5431 - accuracy: 0.7422\n",
      "Epoch 79/200\n",
      "154/154 [==============================] - 0s 848us/step - loss: 0.5313 - accuracy: 0.7565\n",
      "Epoch 80/200\n",
      "154/154 [==============================] - 0s 812us/step - loss: 0.5317 - accuracy: 0.7396\n",
      "Epoch 81/200\n",
      "154/154 [==============================] - 0s 782us/step - loss: 0.5472 - accuracy: 0.7357\n",
      "Epoch 82/200\n",
      "154/154 [==============================] - 0s 981us/step - loss: 0.5487 - accuracy: 0.7396\n",
      "Epoch 83/200\n",
      "154/154 [==============================] - 0s 811us/step - loss: 0.4958 - accuracy: 0.7708\n",
      "Epoch 84/200\n",
      "154/154 [==============================] - 0s 760us/step - loss: 0.5975 - accuracy: 0.7201\n",
      "Epoch 85/200\n",
      "154/154 [==============================] - 0s 826us/step - loss: 0.5652 - accuracy: 0.7266\n",
      "Epoch 86/200\n",
      "154/154 [==============================] - 0s 782us/step - loss: 0.5821 - accuracy: 0.7266\n",
      "Epoch 87/200\n",
      "154/154 [==============================] - 0s 998us/step - loss: 0.5144 - accuracy: 0.7565\n",
      "Epoch 88/200\n",
      "154/154 [==============================] - 0s 773us/step - loss: 0.5637 - accuracy: 0.7422\n",
      "Epoch 89/200\n",
      "154/154 [==============================] - 0s 827us/step - loss: 0.5608 - accuracy: 0.7409\n",
      "Epoch 90/200\n",
      "154/154 [==============================] - 0s 850us/step - loss: 0.5627 - accuracy: 0.7214\n",
      "Epoch 91/200\n",
      "154/154 [==============================] - 0s 884us/step - loss: 0.5672 - accuracy: 0.7240\n",
      "Epoch 92/200\n",
      "154/154 [==============================] - 0s 785us/step - loss: 0.5468 - accuracy: 0.7383\n",
      "Epoch 93/200\n",
      "154/154 [==============================] - 0s 765us/step - loss: 0.5294 - accuracy: 0.7474\n",
      "Epoch 94/200\n",
      "154/154 [==============================] - 0s 869us/step - loss: 0.5355 - accuracy: 0.7578\n",
      "Epoch 95/200\n",
      "154/154 [==============================] - 0s 850us/step - loss: 0.5364 - accuracy: 0.7357\n",
      "Epoch 96/200\n",
      "154/154 [==============================] - 0s 776us/step - loss: 0.5631 - accuracy: 0.7096\n",
      "Epoch 97/200\n",
      "154/154 [==============================] - 0s 799us/step - loss: 0.5230 - accuracy: 0.7526\n",
      "Epoch 98/200\n",
      "154/154 [==============================] - 0s 808us/step - loss: 0.5104 - accuracy: 0.7461\n",
      "Epoch 99/200\n",
      "154/154 [==============================] - 0s 785us/step - loss: 0.5476 - accuracy: 0.7318\n",
      "Epoch 100/200\n",
      "154/154 [==============================] - 0s 763us/step - loss: 0.5171 - accuracy: 0.7578\n",
      "Epoch 101/200\n",
      "154/154 [==============================] - 0s 774us/step - loss: 0.5555 - accuracy: 0.7409\n",
      "Epoch 102/200\n",
      "154/154 [==============================] - 0s 794us/step - loss: 0.5139 - accuracy: 0.7526\n",
      "Epoch 103/200\n",
      "154/154 [==============================] - 0s 797us/step - loss: 0.5364 - accuracy: 0.7370\n",
      "Epoch 104/200\n",
      "154/154 [==============================] - 0s 996us/step - loss: 0.5172 - accuracy: 0.7513\n",
      "Epoch 105/200\n",
      "154/154 [==============================] - 0s 782us/step - loss: 0.5409 - accuracy: 0.7513\n",
      "Epoch 106/200\n",
      "154/154 [==============================] - 0s 795us/step - loss: 0.5142 - accuracy: 0.7643\n",
      "Epoch 107/200\n",
      "154/154 [==============================] - 0s 789us/step - loss: 0.5555 - accuracy: 0.7305\n",
      "Epoch 108/200\n",
      "154/154 [==============================] - 0s 768us/step - loss: 0.5807 - accuracy: 0.7357\n",
      "Epoch 109/200\n",
      "154/154 [==============================] - 0s 778us/step - loss: 0.5265 - accuracy: 0.7539\n",
      "Epoch 110/200\n",
      "154/154 [==============================] - 0s 766us/step - loss: 0.5371 - accuracy: 0.7435\n",
      "Epoch 111/200\n",
      "154/154 [==============================] - 0s 720us/step - loss: 0.5330 - accuracy: 0.7552\n",
      "Epoch 112/200\n",
      "154/154 [==============================] - 0s 847us/step - loss: 0.6163 - accuracy: 0.7188\n",
      "Epoch 113/200\n",
      "154/154 [==============================] - 0s 758us/step - loss: 0.5374 - accuracy: 0.7487\n",
      "Epoch 114/200\n",
      "154/154 [==============================] - 0s 747us/step - loss: 0.5383 - accuracy: 0.7604\n",
      "Epoch 115/200\n",
      "154/154 [==============================] - 0s 898us/step - loss: 0.5510 - accuracy: 0.7357\n",
      "Epoch 116/200\n",
      "154/154 [==============================] - 0s 973us/step - loss: 0.5804 - accuracy: 0.7305\n",
      "Epoch 117/200\n",
      "154/154 [==============================] - 0s 863us/step - loss: 0.5224 - accuracy: 0.7461\n",
      "Epoch 118/200\n",
      "154/154 [==============================] - 0s 931us/step - loss: 0.5499 - accuracy: 0.7305\n",
      "Epoch 119/200\n",
      "154/154 [==============================] - 0s 822us/step - loss: 0.5033 - accuracy: 0.7591\n",
      "Epoch 120/200\n",
      "154/154 [==============================] - 0s 932us/step - loss: 0.4911 - accuracy: 0.7526\n",
      "Epoch 121/200\n",
      "154/154 [==============================] - 0s 819us/step - loss: 0.5381 - accuracy: 0.7461\n",
      "Epoch 122/200\n",
      "154/154 [==============================] - 0s 869us/step - loss: 0.5239 - accuracy: 0.7487\n",
      "Epoch 123/200\n",
      "154/154 [==============================] - 0s 767us/step - loss: 0.5565 - accuracy: 0.7227\n",
      "Epoch 124/200\n",
      "154/154 [==============================] - 0s 836us/step - loss: 0.5677 - accuracy: 0.7331\n",
      "Epoch 125/200\n",
      "154/154 [==============================] - 0s 770us/step - loss: 0.5024 - accuracy: 0.7565\n",
      "Epoch 126/200\n",
      "154/154 [==============================] - 0s 817us/step - loss: 0.5197 - accuracy: 0.7552\n",
      "Epoch 127/200\n",
      "154/154 [==============================] - 0s 846us/step - loss: 0.5330 - accuracy: 0.7448\n",
      "Epoch 128/200\n",
      "154/154 [==============================] - 0s 1ms/step - loss: 0.5122 - accuracy: 0.7760\n",
      "Epoch 129/200\n",
      "154/154 [==============================] - 0s 832us/step - loss: 0.5577 - accuracy: 0.7383\n",
      "Epoch 130/200\n",
      "154/154 [==============================] - 0s 882us/step - loss: 0.5443 - accuracy: 0.7578\n",
      "Epoch 131/200\n",
      "154/154 [==============================] - 0s 828us/step - loss: 0.5277 - accuracy: 0.7461\n",
      "Epoch 132/200\n",
      "154/154 [==============================] - 0s 860us/step - loss: 0.5474 - accuracy: 0.7617\n",
      "Epoch 133/200\n",
      "154/154 [==============================] - 0s 747us/step - loss: 0.4955 - accuracy: 0.7552\n",
      "Epoch 134/200\n",
      "154/154 [==============================] - 0s 767us/step - loss: 0.5167 - accuracy: 0.7578\n",
      "Epoch 135/200\n",
      "154/154 [==============================] - 0s 743us/step - loss: 0.5260 - accuracy: 0.7422\n",
      "Epoch 136/200\n",
      "154/154 [==============================] - 0s 799us/step - loss: 0.5503 - accuracy: 0.7422\n",
      "Epoch 137/200\n",
      "154/154 [==============================] - 0s 722us/step - loss: 0.5209 - accuracy: 0.7578\n",
      "Epoch 138/200\n",
      "154/154 [==============================] - 0s 852us/step - loss: 0.5260 - accuracy: 0.7396\n",
      "Epoch 139/200\n",
      "154/154 [==============================] - 0s 764us/step - loss: 0.5571 - accuracy: 0.7461\n",
      "Epoch 140/200\n",
      "154/154 [==============================] - 0s 773us/step - loss: 0.5028 - accuracy: 0.7565\n",
      "Epoch 141/200\n",
      "154/154 [==============================] - 0s 761us/step - loss: 0.5219 - accuracy: 0.7617\n",
      "Epoch 142/200\n",
      "154/154 [==============================] - 0s 762us/step - loss: 0.5069 - accuracy: 0.7539\n",
      "Epoch 143/200\n",
      "154/154 [==============================] - 0s 784us/step - loss: 0.5176 - accuracy: 0.7708\n",
      "Epoch 144/200\n",
      "154/154 [==============================] - 0s 920us/step - loss: 0.5299 - accuracy: 0.7331\n",
      "Epoch 145/200\n",
      "154/154 [==============================] - 0s 833us/step - loss: 0.5261 - accuracy: 0.7578\n",
      "Epoch 146/200\n",
      "154/154 [==============================] - 0s 827us/step - loss: 0.5262 - accuracy: 0.7331\n",
      "Epoch 147/200\n",
      "154/154 [==============================] - 0s 703us/step - loss: 0.5149 - accuracy: 0.7682\n",
      "Epoch 148/200\n",
      "154/154 [==============================] - 0s 872us/step - loss: 0.5009 - accuracy: 0.7474\n",
      "Epoch 149/200\n",
      "154/154 [==============================] - 0s 774us/step - loss: 0.4893 - accuracy: 0.7708\n",
      "Epoch 150/200\n",
      "154/154 [==============================] - 0s 819us/step - loss: 0.4960 - accuracy: 0.7656\n",
      "Epoch 151/200\n",
      "154/154 [==============================] - 0s 912us/step - loss: 0.5112 - accuracy: 0.7383\n",
      "Epoch 152/200\n",
      "154/154 [==============================] - 0s 881us/step - loss: 0.5181 - accuracy: 0.7383\n",
      "Epoch 153/200\n",
      "154/154 [==============================] - 0s 870us/step - loss: 0.5154 - accuracy: 0.7526\n",
      "Epoch 154/200\n",
      "154/154 [==============================] - 0s 722us/step - loss: 0.5045 - accuracy: 0.7591\n",
      "Epoch 155/200\n",
      "154/154 [==============================] - 0s 887us/step - loss: 0.5015 - accuracy: 0.7604\n",
      "Epoch 156/200\n",
      "154/154 [==============================] - 0s 756us/step - loss: 0.4887 - accuracy: 0.7839\n",
      "Epoch 157/200\n",
      "154/154 [==============================] - 0s 763us/step - loss: 0.5336 - accuracy: 0.7656\n",
      "Epoch 158/200\n",
      "154/154 [==============================] - 0s 747us/step - loss: 0.4977 - accuracy: 0.7734\n",
      "Epoch 159/200\n",
      "154/154 [==============================] - 0s 815us/step - loss: 0.5654 - accuracy: 0.7396\n",
      "Epoch 160/200\n",
      "154/154 [==============================] - 0s 743us/step - loss: 0.4985 - accuracy: 0.7643\n",
      "Epoch 161/200\n",
      "154/154 [==============================] - 0s 901us/step - loss: 0.5646 - accuracy: 0.7305\n",
      "Epoch 162/200\n",
      "154/154 [==============================] - 0s 757us/step - loss: 0.5023 - accuracy: 0.7500\n",
      "Epoch 163/200\n",
      "154/154 [==============================] - 0s 808us/step - loss: 0.4857 - accuracy: 0.7799\n",
      "Epoch 164/200\n",
      "154/154 [==============================] - 0s 758us/step - loss: 0.5066 - accuracy: 0.7643\n",
      "Epoch 165/200\n",
      "154/154 [==============================] - 0s 758us/step - loss: 0.4652 - accuracy: 0.7708\n",
      "Epoch 166/200\n",
      "154/154 [==============================] - 0s 882us/step - loss: 0.4753 - accuracy: 0.7826\n",
      "Epoch 167/200\n",
      "154/154 [==============================] - 0s 827us/step - loss: 0.5007 - accuracy: 0.7500\n",
      "Epoch 168/200\n",
      "154/154 [==============================] - 0s 1ms/step - loss: 0.5240 - accuracy: 0.7396\n",
      "Epoch 169/200\n",
      "154/154 [==============================] - 0s 870us/step - loss: 0.5033 - accuracy: 0.7500\n",
      "Epoch 170/200\n",
      "154/154 [==============================] - 0s 763us/step - loss: 0.5143 - accuracy: 0.7539\n",
      "Epoch 171/200\n",
      "154/154 [==============================] - 0s 802us/step - loss: 0.5075 - accuracy: 0.7682\n",
      "Epoch 172/200\n",
      "154/154 [==============================] - 0s 812us/step - loss: 0.5009 - accuracy: 0.7578\n",
      "Epoch 173/200\n",
      "154/154 [==============================] - 0s 790us/step - loss: 0.4799 - accuracy: 0.7682\n",
      "Epoch 174/200\n",
      "154/154 [==============================] - 0s 873us/step - loss: 0.4733 - accuracy: 0.7760\n",
      "Epoch 175/200\n",
      "154/154 [==============================] - 0s 804us/step - loss: 0.5025 - accuracy: 0.7591\n",
      "Epoch 176/200\n",
      "154/154 [==============================] - 0s 770us/step - loss: 0.4897 - accuracy: 0.7721\n",
      "Epoch 177/200\n",
      "154/154 [==============================] - 0s 781us/step - loss: 0.4915 - accuracy: 0.7643\n",
      "Epoch 178/200\n",
      "154/154 [==============================] - 0s 710us/step - loss: 0.5218 - accuracy: 0.7409\n",
      "Epoch 179/200\n",
      "154/154 [==============================] - 0s 830us/step - loss: 0.4765 - accuracy: 0.7721\n",
      "Epoch 180/200\n",
      "154/154 [==============================] - 0s 755us/step - loss: 0.5178 - accuracy: 0.7552\n",
      "Epoch 181/200\n",
      "154/154 [==============================] - 0s 776us/step - loss: 0.5455 - accuracy: 0.7552\n",
      "Epoch 182/200\n",
      "154/154 [==============================] - 0s 761us/step - loss: 0.4982 - accuracy: 0.7656\n",
      "Epoch 183/200\n",
      "154/154 [==============================] - 0s 740us/step - loss: 0.4679 - accuracy: 0.7708\n",
      "Epoch 184/200\n",
      "154/154 [==============================] - 0s 877us/step - loss: 0.5020 - accuracy: 0.7656\n",
      "Epoch 185/200\n",
      "154/154 [==============================] - 0s 774us/step - loss: 0.5303 - accuracy: 0.7643\n",
      "Epoch 186/200\n",
      "154/154 [==============================] - 0s 807us/step - loss: 0.5229 - accuracy: 0.7578\n",
      "Epoch 187/200\n",
      "154/154 [==============================] - 0s 772us/step - loss: 0.4844 - accuracy: 0.7773\n",
      "Epoch 188/200\n",
      "154/154 [==============================] - 0s 731us/step - loss: 0.4755 - accuracy: 0.7773\n",
      "Epoch 189/200\n",
      "154/154 [==============================] - 0s 888us/step - loss: 0.5230 - accuracy: 0.7487\n",
      "Epoch 190/200\n",
      "154/154 [==============================] - 0s 797us/step - loss: 0.4828 - accuracy: 0.7799\n",
      "Epoch 191/200\n",
      "154/154 [==============================] - 0s 688us/step - loss: 0.4996 - accuracy: 0.7552\n",
      "Epoch 192/200\n",
      "154/154 [==============================] - 0s 788us/step - loss: 0.5144 - accuracy: 0.7604\n",
      "Epoch 193/200\n",
      "154/154 [==============================] - 0s 777us/step - loss: 0.4970 - accuracy: 0.7747\n",
      "Epoch 194/200\n",
      "154/154 [==============================] - 0s 679us/step - loss: 0.4905 - accuracy: 0.7643\n",
      "Epoch 195/200\n",
      "154/154 [==============================] - 0s 762us/step - loss: 0.4863 - accuracy: 0.7760\n",
      "Epoch 196/200\n",
      "154/154 [==============================] - 0s 932us/step - loss: 0.4965 - accuracy: 0.7604\n",
      "Epoch 197/200\n",
      "154/154 [==============================] - 0s 825us/step - loss: 0.5520 - accuracy: 0.7630\n",
      "Epoch 198/200\n",
      "154/154 [==============================] - 0s 959us/step - loss: 0.4916 - accuracy: 0.7500\n",
      "Epoch 199/200\n",
      "154/154 [==============================] - 0s 710us/step - loss: 0.5051 - accuracy: 0.7682\n",
      "Epoch 200/200\n",
      "154/154 [==============================] - 0s 917us/step - loss: 0.5208 - accuracy: 0.7682\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "history = model.fit(X, y, epochs=200, batch_size=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 약 75.52% 정확도 / 할때마다 정확도가 높아짐  / epochs 를 많이 하면 정확도가 높아짐 이값은 100번 했을때 수치 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.19"
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 "nbformat": 4,
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