{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7e9349d0",
   "metadata": {},
   "source": [
    "# Poisoned Mushroom Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "382f85ee",
   "metadata": {},
   "source": [
    "We are going to take a quick tour of machine learning by working on an example dataset. The mushroom dataset\n",
    "categorizes mushrooms as 'poisonous' or 'edible' and collects several descriptive properties of each mushroom example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "771ea7b9-e7de-43c7-96ae-bc3a30862715",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1121f80",
   "metadata": {},
   "source": [
    "## Loading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "95d691a5-1638-4953-b929-761a8095a773",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "      class cap-shape cap-surface cap-color ruises odor gill-attachment  \\\n",
       "0         e         x           f         n      f    n               f   \n",
       "1         p       NaN           y         g      t  NaN               f   \n",
       "2         e         b           y         n      t    n               f   \n",
       "3         e         x           g         g      t    n               f   \n",
       "4         e       NaN           f       NaN      t    n               a   \n",
       "...     ...       ...         ...       ...    ...  ...             ...   \n",
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       "25984     e         x           g         g      t    n               f   \n",
       "25985     e         b           y         y      t    l               f   \n",
       "\n",
       "      gill-spacing gill-size gill-color  ... stalk-surface-below-ring  \\\n",
       "0                w         n          b  ...                        y   \n",
       "1                c         b          k  ...                        s   \n",
       "2                c       NaN          n  ...                        s   \n",
       "3                w         b          n  ...                        s   \n",
       "4                w         n          n  ...                        k   \n",
       "...            ...       ...        ...  ...                      ...   \n",
       "25981          NaN         n        NaN  ...                      NaN   \n",
       "25982            c         n          y  ...                        y   \n",
       "25983            c         b          b  ...                        y   \n",
       "25984            w         b          h  ...                        f   \n",
       "25985            c         b          y  ...                        k   \n",
       "\n",
       "      stalk-color-above-ring stalk-color-below-ring veil-type veil-color  \\\n",
       "0                          w                      p       NaN          n   \n",
       "1                          n                      c         p          w   \n",
       "2                          p                    NaN         p          w   \n",
       "3                          p                    NaN         p          w   \n",
       "4                        NaN                      w         p          w   \n",
       "...                      ...                    ...       ...        ...   \n",
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       "25983                      w                    NaN         p          w   \n",
       "25984                    NaN                    NaN         p          w   \n",
       "25985                      g                      o         p          w   \n",
       "\n",
       "      ring-number ring-type spore-print-color population habitat  \n",
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       "2               o         p                 b          y       w  \n",
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       "4             NaN         l                 w          v       d  \n",
       "...           ...       ...               ...        ...     ...  \n",
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       "\n",
       "[25986 rows x 23 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_root = \"/home/pewhite/github/aet-cs/ML-datasets/\"\n",
    "filename = \"mushroom.csv\"\n",
    "filepath = os.path.join(data_root, filename)\n",
    "df = pd.read_csv(filepath)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a363da42-73b6-4d09-b1c6-f885b020c633",
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      "text/plain": [
       "        class cap-shape cap-surface cap-color ruises   odor gill-attachment  \\\n",
       "count   25986     22513       22507     22527  22514  22536           22505   \n",
       "unique      2         6           4        10      2      9               2   \n",
       "top         e         x           y         n      f      n               f   \n",
       "freq    14354      7674        7602      4810  12361   6986           17811   \n",
       "\n",
       "       gill-spacing gill-size gill-color  ... stalk-surface-below-ring  \\\n",
       "count         22587     22494      22418  ...                    22563   \n",
       "unique            2         2         12  ...                        4   \n",
       "top               c         b          b  ...                        s   \n",
       "freq          16092     13997       3679  ...                    10619   \n",
       "\n",
       "       stalk-color-above-ring stalk-color-below-ring veil-type veil-color  \\\n",
       "count                   22413                  22553     22489      22483   \n",
       "unique                      9                      9         1          4   \n",
       "top                         w                      w         p          w   \n",
       "freq                     8580                   8403     22489      15742   \n",
       "\n",
       "       ring-number ring-type spore-print-color population habitat  \n",
       "count        22497     22478             22493      22475   22502  \n",
       "unique           3         5                 9          6       7  \n",
       "top              o         p                 w          v       d  \n",
       "freq         15713      8501              5085       8409    6573  \n",
       "\n",
       "[4 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7c00c5e",
   "metadata": {},
   "source": [
    "## Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "91eae28c-7318-4630-b527-3cb6763babeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['class', 'cap-shape', 'cap-surface', 'cap-color', 'ruises', 'odor',\n",
       "       'gill-attachment', 'gill-spacing', 'gill-size', 'gill-color',\n",
       "       'stalk-shape', 'stalk-root', 'stalk-surface-above-ring',\n",
       "       'stalk-surface-below-ring', 'stalk-color-above-ring',\n",
       "       'stalk-color-below-ring', 'veil-type', 'veil-color', 'ring-number',\n",
       "       'ring-type', 'spore-print-color', 'population', 'habitat'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2c1e74a9-08b9-4e73-8855-8af51df9a2ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        e\n",
       "1        p\n",
       "2        e\n",
       "3        e\n",
       "4        e\n",
       "        ..\n",
       "25981    e\n",
       "25982    e\n",
       "25983    p\n",
       "25984    e\n",
       "25985    e\n",
       "Name: class, Length: 25986, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b8d5fcc-1043-427a-9264-6f0a5deeb995",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25986, 23)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1f13fc1e-b141-460f-a948-d90f2941713b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     25986\n",
       "unique        2\n",
       "top           e\n",
       "freq      14354\n",
       "Name: class, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['class'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e7f294dd-8f1e-47dd-9a12-9656ba1e893f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class\n",
       "e    14354\n",
       "p    11632\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['class'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fd3c5ce9-dbfb-4bed-8105-8587a23c35c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# Count plot\n",
    "sns.countplot(x='class', data=df)\n",
    "plt.title('Count Plot of Class Frequencies')\n",
    "plt.xlabel('Class')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d5f6bea4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.feature_selection import chi2\n",
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "93ea202e",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()\n",
    "df['cap-color-encoded'] = le.fit_transform(df['cap-color'])\n",
    "df['class-encoded'] = LabelEncoder().fit_transform(df['class'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b6c25437",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('b', np.int64(0)), ('c', np.int64(1)), ('e', np.int64(2)), ('g', np.int64(3)), ('n', np.int64(4)), ('p', np.int64(5)), ('r', np.int64(6)), ('u', np.int64(7)), ('w', np.int64(8)), ('y', np.int64(9)), (nan, np.int64(10))]\n"
     ]
    }
   ],
   "source": [
    "print(list(zip(le.classes_, le.transform(le.classes_))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2a714a9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    25986.000000\n",
       "mean         5.209074\n",
       "std          3.120868\n",
       "min          0.000000\n",
       "25%          3.000000\n",
       "50%          4.000000\n",
       "75%          8.000000\n",
       "max         10.000000\n",
       "Name: cap-color-encoded, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['cap-color-encoded'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d89439c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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x5PfnqW7dujpz5kyR/RGQM56C/tFUt25dSVKVKlXyVUvdunU1ZswYjRkzRvv371fz5s01e/ZsvffeewUvGk7FGiKUWuPHj5eXl5eGDh2qpKSkXMcPHDigefPmSZJ69uwpSbmuVJkzZ44kqVevXva2unXr5lqv8Oabb152hig/vLy8cv1SuB569uyprVu3KjY21t529uxZvfnmm6pVq5aCg4Pt9UjKV02urq7q3r27PvvsM4e3m5KSkrR06VK1a9fO/jZCQfTv319NmjTR9OnTHerNcfr0aftVeTnB5NK//o0x9q9vXl577TWHvq+99prc3NzUtWvXyz7G09NTEyZM0J49ezRhwoQ8Zxvee+89bd26VVL+X++/q1q1qpo3b67Fixc7fA1+/vlnrV692v79WpyqVKmiTp066Y033sgz/OfcY0r6a9zff/+9/XXIOf7+++/nelx+f57uv/9+xcbGatWqVbnOkZKSoosXLxZoPJUrV1aHDh30zjvvKCEhweHYlWaRwsLC5OPjoxdeeEGZmZm5jue8DufOndOFCxccjtWtW1fe3t5KT08vUK0oGZghQqlVt25dLV26VA888IAaNWrkcKfqzZs3a9myZfY7Qzdr1kyDBg3Sm2++qZSUFHXs2FFbt27V4sWL1adPH3Xu3Nl+3qFDh2r48OHq16+funXrph07dmjVqlXy9/cvdK0tW7bU66+/rn//+9+qV6+eqlSpctk1Ctfin//8p/73v/+pR48eevrpp1WxYkUtXrxYhw4d0vLly1WmzF9/A9WtW1d+fn5auHChvL295eXlpdatW192ncq///1vxcTEqF27dvrHP/6hsmXL6o033lB6erpmzpxZqFrd3Nz0ySefKDQ0VB06dND999+vtm3bys3NTfHx8Vq6dKkqVKig6dOnq2HDhqpbt67Gjh2r33//XT4+Plq+fPll12mVK1dOK1eu1KBBg9S6dWt9/fXXio6O1jPPPHPZNSo5cu5wPnv2bK1fv179+/dXYGCgEhMT9emnn2rr1q3avHlzgV7vvMyaNUs9evRQSEiIhgwZYr/s3tfXV1OmTCnUa3qt5s+fr3bt2qlJkyZ6/PHHVadOHSUlJSk2Nla//fabduzYIemvP0beffdd3XnnnRo5cqT9svugoCDt3LnT4Zz5/XkaN26cPv/8c/Xu3VuDBw9Wy5YtdfbsWe3atUsff/yxDh8+XOCfwVdeeUXt2rVTixYtNGzYMNWuXVuHDx9WdHT0ZT+2xsfHR6+//roeeeQRtWjRQgMGDFDlypWVkJCg6OhotW3bVq+99pr27dunrl276v7771dwcLDKli2rFStWKCkpiY9IKa2cdn0bUET27dtnHn/8cVOrVi1js9mMt7e3adu2rXn11VcdLh/OzMw0zz//vKldu7Zxc3MzNWvWzPPGjFlZWWbChAn2Gy2GhYWZX3/99bKX3f/www8Oj8+57Hn9+vX2tsTERNOrVy/j7e19TTdm/Lsr3ZjRz8/PlCtXzrRq1SrXjQKN+esy5eDgYFO2bNl835gxLCzMlC9f3nh6eprOnTubzZs3O/QpyGX3OU6dOmUmTZpkmjRpYjw9PU25cuVM48aNzcSJE83x48ft/Xbv3m1CQ0NN+fLljb+/v3n88cfNjh07ctWe140ZAwICzOTJkx1u8Hc1H3/8senevbupWLGiKVu2rKlatap54IEHzIYNGxz65ef1vtyNGdesWWPatm1rPDw8jI+Pj7nrrrsue2PGK90u4FIFuTFjXg4cOGDCw8NNYGCgcXNzM9WrVze9e/c2H3/8sUO/nTt3mo4dO171xoz5/Xky5q9L3idOnGjq1atnbDab8ff3N3fccYf5z3/+YzIyMq5av/K4xP/nn3829957r/3rc/PNN5vnnnvOfvxyN2Zcv369CQsLM76+vqZcuXKmbt26ZvDgwebHH380xhjzxx9/mIiICNOwYUPj5eVlfH19TevWrc1HH32U5+uKks/FmGtcgQYAJcjgwYP18ccf68yZM84uxXKioqL06KOP6tChQ9yYEKUOa4gAAIDlEYgAAIDlEYgAAIDlsYYIAABYHjNEAADA8ghEAADA8rgxYz5kZ2fr2LFj8vb2LraPYAAAANfGGKPTp0+rWrVqV7xRak5np8m54dil280332w/fv78efOPf/zDVKxY0Xh5eZm+ffuaxMREh3McOXLE9OzZ03h4eJjKlSubsWPHmszMTIc+69evN7feequx2Wymbt26V70B3d8dPXo0V51sbGxsbGxspWM7evToVX/XO32G6JZbbtGaNWvs+5d+kvDo0aMVHR2tZcuWydfXVyNGjFDfvn21adMmSX99WnKvXr0UGBiozZs36/jx4woPD5ebm5teeOEFSdKhQ4fUq1cvDR8+XO+//77Wrl2roUOHqmrVqpf9ROe/8/b2liQdPXq0UJ/ZBAAAil9aWppq1qxp/z1+JU69ymzKlCn69NNP8/xMmdTUVFWuXFlLly5V//79Jf31KdCNGjVSbGys2rRpo6+//lq9e/fWsWPHFBAQIElauHChJkyYoBMnTshms2nChAmKjo52+MTjAQMGKCUlRStXrsxXnWlpafL19VVqaiqBCACAUqIgv7+dvqh6//79qlatmurUqaOBAwfaP5U4Li5OmZmZCg0Ntfdt2LChbrrpJvsnS8fGxqpJkyb2MCT99UnFaWlpio+Pt/e59Bw5ffL6dO0c6enpSktLc9gAAMCNy6mBqHXr1oqKitLKlSv1+uuv69ChQ2rfvr1Onz6txMRE2Ww2+fn5OTwmICBAiYmJkqTExESHMJRzPOfYlfqkpaXp/PnzedY1Y8YM+fr62reaNWsWxXABAEAJ5dQ1RD169LD/u2nTpmrdurWCgoL00UcfycPDw2l1TZw4UZGRkfb9nPcgAQDAjcnpb5ldys/PTw0aNNCvv/6qwMBAZWRkKCUlxaFPUlKSAgMDJUmBgYFKSkrKdTzn2JX6+Pj4XDZ0ubu7y8fHx2EDAAA3rhIViM6cOaMDBw6oatWqatmypdzc3LR27Vr78b179yohIUEhISGSpJCQEO3atUvJycn2PjExMfLx8VFwcLC9z6XnyOmTcw4AAACnBqKxY8dq48aNOnz4sDZv3qx7771Xrq6uevDBB+Xr66shQ4YoMjJS69evV1xcnB599FGFhISoTZs2kqTu3bsrODhYjzzyiHbs2KFVq1bp2WefVUREhNzd3SVJw4cP18GDBzV+/Hj98ssvWrBggT766CONHj3amUMHAAAliFPXEP3222968MEH9eeff6py5cpq166dvv/+e1WuXFmSNHfuXJUpU0b9+vVTenq6wsLCtGDBAvvjXV1d9eWXX+rJJ59USEiIvLy8NGjQIE2dOtXep3bt2oqOjtbo0aM1b9481ahRQ2+99Va+70EEAABufHzafT5wHyIAAEqfUnUfIgAAAGcjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMtz6o0ZS7uW45Y4u4QripsV7uwSAAAoFZghAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlldiAtGLL74oFxcXjRo1yt524cIFRUREqFKlSipfvrz69eunpKQkh8clJCSoV69e8vT0VJUqVTRu3DhdvHjRoc+GDRvUokULubu7q169eoqKiiqGEQEAgNKiRASiH374QW+88YaaNm3q0D569Gh98cUXWrZsmTZu3Khjx46pb9++9uNZWVnq1auXMjIytHnzZi1evFhRUVGaNGmSvc+hQ4fUq1cvde7cWdu3b9eoUaM0dOhQrVq1qtjGBwAASjanB6IzZ85o4MCB+u9//6sKFSrY21NTU/X2229rzpw56tKli1q2bKlFixZp8+bN+v777yVJq1ev1u7du/Xee++pefPm6tGjh6ZNm6b58+crIyNDkrRw4ULVrl1bs2fPVqNGjTRixAj1799fc+fOdcp4AQBAyeP0QBQREaFevXopNDTUoT0uLk6ZmZkO7Q0bNtRNN92k2NhYSVJsbKyaNGmigIAAe5+wsDClpaUpPj7e3ufv5w4LC7OfIy/p6elKS0tz2AAAwI2rrDOf/IMPPtBPP/2kH374IdexxMRE2Ww2+fn5ObQHBAQoMTHR3ufSMJRzPOfYlfqkpaXp/Pnz8vDwyPXcM2bM0PPPP1/ocQEAgNLFaYHo6NGjGjlypGJiYlSuXDlnlZGniRMnKjIy0r6flpammjVrOrGi66vluCXOLuGK4maFO7sEAMANzmlvmcXFxSk5OVktWrRQ2bJlVbZsWW3cuFGvvPKKypYtq4CAAGVkZCglJcXhcUlJSQoMDJQkBQYG5rrqLGf/an18fHzynB2SJHd3d/n4+DhsAADgxuW0QNS1a1ft2rVL27dvt2+33XabBg4caP+3m5ub1q5da3/M3r17lZCQoJCQEElSSEiIdu3apeTkZHufmJgY+fj4KDg42N7n0nPk9Mk5BwAAgNPeMvP29lbjxo0d2ry8vFSpUiV7+5AhQxQZGamKFSvKx8dHTz31lEJCQtSmTRtJUvfu3RUcHKxHHnlEM2fOVGJiop599llFRETI3d1dkjR8+HC99tprGj9+vB577DGtW7dOH330kaKjo4t3wAAAoMRy6qLqq5k7d67KlCmjfv36KT09XWFhYVqwYIH9uKurq7788ks9+eSTCgkJkZeXlwYNGqSpU6fa+9SuXVvR0dEaPXq05s2bpxo1auitt95SWFiYM4YEAABKIBdjjHF2ESVdWlqafH19lZqa6rCe6EZZjHyjjAMAgEtd7vd3Xpx+HyIAAABnIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLK+vsAgCgJGo5bomzS7iiuFnhzi4BuKEwQwQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACyPQAQAACzPqYHo9ddfV9OmTeXj4yMfHx+FhITo66+/th+/cOGCIiIiVKlSJZUvX179+vVTUlKSwzkSEhLUq1cveXp6qkqVKho3bpwuXrzo0GfDhg1q0aKF3N3dVa9ePUVFRRXH8AAAQCnh1EBUo0YNvfjii4qLi9OPP/6oLl266J577lF8fLwkafTo0friiy+0bNkybdy4UceOHVPfvn3tj8/KylKvXr2UkZGhzZs3a/HixYqKitKkSZPsfQ4dOqRevXqpc+fO2r59u0aNGqWhQ4dq1apVxT5eAABQMpV15pPfddddDvvTp0/X66+/ru+//141atTQ22+/raVLl6pLly6SpEWLFqlRo0b6/vvv1aZNG61evVq7d+/WmjVrFBAQoObNm2vatGmaMGGCpkyZIpvNpoULF6p27dqaPXu2JKlRo0b67rvvNHfuXIWFhRX7mAEAQMlTYtYQZWVl6YMPPtDZs2cVEhKiuLg4ZWZmKjQ01N6nYcOGuummmxQbGytJio2NVZMmTRQQEGDvExYWprS0NPssU2xsrMM5cvrknCMv6enpSktLc9gAAMCNy+mBaNeuXSpfvrzc3d01fPhwrVixQsHBwUpMTJTNZpOfn59D/4CAACUmJkqSEhMTHcJQzvGcY1fqk5aWpvPnz+dZ04wZM+Tr62vfatasWRRDBQAAJZTTA9HNN9+s7du3a8uWLXryySc1aNAg7d6926k1TZw4Uampqfbt6NGjTq0HAABcX4VaQ3Tw4EHVqVOnSAqw2WyqV6+eJKlly5b64YcfNG/ePD3wwAPKyMhQSkqKwyxRUlKSAgMDJUmBgYHaunWrw/lyrkK7tM/fr0xLSkqSj4+PPDw88qzJ3d1d7u7uRTI+AABQ8hVqhqhevXrq3Lmz3nvvPV24cKFIC8rOzlZ6erpatmwpNzc3rV271n5s7969SkhIUEhIiCQpJCREu3btUnJysr1PTEyMfHx8FBwcbO9z6Tly+uScAwAAoFCB6KefflLTpk0VGRmpwMBAPfHEE7lmavJj4sSJ+uabb3T48GHt2rVLEydO1IYNGzRw4ED5+vpqyJAhioyM1Pr16xUXF6dHH31UISEhatOmjSSpe/fuCg4O1iOPPKIdO3Zo1apVevbZZxUREWGf4Rk+fLgOHjyo8ePH65dfftGCBQv00UcfafTo0YUZOgAAuAEVKhA1b95c8+bN07Fjx/TOO+/o+PHjateunRo3bqw5c+boxIkT+TpPcnKywsPDdfPNN6tr16764YcftGrVKnXr1k2SNHfuXPXu3Vv9+vVThw4dFBgYqE8++cT+eFdXV3355ZdydXVVSEiIHn74YYWHh2vq1Kn2PrVr11Z0dLRiYmLUrFkzzZ49W2+99RaX3AMAADsXY4y51pOkp6drwYIFmjhxojIyMmSz2XT//ffrpZdeUtWqVYuiTqdKS0uTr6+vUlNT5ePjY29vOW6JE6u6urhZ4fnqd6OMAyhK/FwApd/lfn/n5ZquMvvxxx/1j3/8Q1WrVtWcOXM0duxYHThwQDExMTp27Jjuueeeazk9AABAsSjUVWZz5szRokWLtHfvXvXs2VNLlixRz549VabMX/mqdu3aioqKUq1atYqyVgAAgOuiUIHo9ddf12OPPabBgwdf9i2xKlWq6O23376m4gAAAIpDoQLR/v37r9rHZrNp0KBBhTk9AABAsSrUGqJFixZp2bJludqXLVumxYsXX3NRAAAAxalQgWjGjBny9/fP1V6lShW98MIL11wUAABAcSpUIEpISFDt2rVztQcFBSkhIeGaiwIAAChOhQpEVapU0c6dO3O179ixQ5UqVbrmogAAAIpToQLRgw8+qKefflrr169XVlaWsrKytG7dOo0cOVIDBgwo6hoBAACuq0JdZTZt2jQdPnxYXbt2Vdmyf50iOztb4eHhrCECAAClTqECkc1m04cffqhp06Zpx44d8vDwUJMmTRQUFFTU9QEAAFx3hQpEORo0aKAGDRoUVS0AAABOUahAlJWVpaioKK1du1bJycnKzs52OL5u3boiKQ4AAKA4FCoQjRw5UlFRUerVq5caN24sFxeXoq4LAACg2BQqEH3wwQf66KOP1LNnz6KuBwAAoNgV6rJ7m82mevXqFXUtAAAATlGoQDRmzBjNmzdPxpiirgcAAKDYFeots++++07r16/X119/rVtuuUVubm4Oxz/55JMiKQ6wmpbjlji7hCuKmxXu7BIA4LooVCDy8/PTvffeW9S1AAAAOEWhAtGiRYuKug4AAACnKdQaIkm6ePGi1qxZozfeeEOnT5+WJB07dkxnzpwpsuIAAACKQ6FmiI4cOaI777xTCQkJSk9PV7du3eTt7a2XXnpJ6enpWrhwYVHXCQAAcN0UaoZo5MiRuu2223Tq1Cl5eHjY2++9916tXbu2yIoDAAAoDoWaIfr222+1efNm2Ww2h/ZatWrp999/L5LCAADXjisXgfwp1AxRdna2srKycrX/9ttv8vb2vuaiAAAAilOhAlH37t318ssv2/ddXFx05swZTZ48mY/zAAAApU6h3jKbPXu2wsLCFBwcrAsXLuihhx7S/v375e/vr//9739FXSMAAMB1VahAVKNGDe3YsUMffPCBdu7cqTNnzmjIkCEaOHCgwyJrAACA0qBQgUiSypYtq4cffrgoawEAAHCKQgWiJUuufNVCeDhXDQAAgNKjUIFo5MiRDvuZmZk6d+6cbDabPD09CUQAAKBUKdRVZqdOnXLYzpw5o71796pdu3YsqgYAAKVOoT/L7O/q16+vF198MdfsEQAAQElXZIFI+muh9bFjx4rylAAAANddodYQff755w77xhgdP35cr732mtq2bVskhQEAABSXQgWiPn36OOy7uLiocuXK6tKli2bPnl0UdQEAABSbQgWi7Ozsoq4DAADAaYp0DREAAEBpVKgZosjIyHz3nTNnTmGeAgAAoNgUKhBt27ZN27ZtU2Zmpm6++WZJ0r59++Tq6qoWLVrY+7m4uBRNlQAAANdRoQLRXXfdJW9vby1evFgVKlSQ9NfNGh999FG1b99eY8aMKdIiAQAArqdCrSGaPXu2ZsyYYQ9DklShQgX9+9//5iozAABQ6hQqEKWlpenEiRO52k+cOKHTp09fc1EAAADFqVCB6N5779Wjjz6qTz75RL/99pt+++03LV++XEOGDFHfvn2LukYAAIDrqlBriBYuXKixY8fqoYceUmZm5l8nKltWQ4YM0axZs4q0QAAAgOutUIHI09NTCxYs0KxZs3TgwAFJUt26deXl5VWkxQEAABSHa7ox4/Hjx3X8+HHVr19fXl5eMsYUVV0AAADFplCB6M8//1TXrl3VoEED9ezZU8ePH5ckDRkyhEvuAQBAqVOoQDR69Gi5ubkpISFBnp6e9vYHHnhAK1euLLLiAAAAikOh1hCtXr1aq1atUo0aNRza69evryNHjhRJYQAAAMWlUDNEZ8+edZgZynHy5Em5u7tfc1EAAADFqVCBqH379lqyZIl938XFRdnZ2Zo5c6Y6d+5cZMUBAAAUh0K9ZTZz5kx17dpVP/74ozIyMjR+/HjFx8fr5MmT2rRpU1HXCAAAcF0VaoaocePG2rdvn9q1a6d77rlHZ8+eVd++fbVt2zbVrVu3qGsEAAC4rgo8Q5SZmak777xTCxcu1L/+9a/rURMAAECxKvAMkZubm3bu3Hk9agEAAHCKQr1l9vDDD+vtt98u6loAAACcolCLqi9evKh33nlHa9asUcuWLXN9htmcOXOKpDgAAIDiUKBAdPDgQdWqVUs///yzWrRoIUnat2+fQx8XF5eiqw4AAKAYFCgQ1a9fX8ePH9f69esl/fVRHa+88ooCAgKuS3EAAADFoUBriP7+afZff/21zp49W6QFAQAAFLdCLarO8feABAAAUBoVKBC5uLjkWiN0LWuGZsyYodtvv13e3t6qUqWK+vTpo7179zr0uXDhgiIiIlSpUiWVL19e/fr1U1JSkkOfhIQE9erVS56enqpSpYrGjRunixcvOvTZsGGDWrRoIXd3d9WrV09RUVGFrhsAANxYCrSGyBijwYMH2z/A9cKFCxo+fHiuq8w++eSTfJ1v48aNioiI0O23366LFy/qmWeeUffu3bV79277OUePHq3o6GgtW7ZMvr6+GjFihPr27Wv/iJCsrCz16tVLgYGB2rx5s44fP67w8HC5ubnphRdekCQdOnRIvXr10vDhw/X+++9r7dq1Gjp0qKpWraqwsLCCvAQAAOAGVKBANGjQIIf9hx9++JqefOXKlQ77UVFRqlKliuLi4tShQwelpqbq7bff1tKlS9WlSxdJ0qJFi9SoUSN9//33atOmjVavXq3du3drzZo1CggIUPPmzTVt2jRNmDBBU6ZMkc1m08KFC1W7dm3Nnj1bktSoUSN99913mjt3LoEIAAAULBAtWrToetUhSUpNTZUkVaxYUZIUFxenzMxMhYaG2vs0bNhQN910k2JjY9WmTRvFxsaqSZMmDle6hYWF6cknn1R8fLxuvfVWxcbGOpwjp8+oUaPyrCM9PV3p6en2/bS0tKIaIgAAKIGuaVF1UcrOztaoUaPUtm1bNW7cWJKUmJgom80mPz8/h74BAQFKTEy09/n7Zf85+1frk5aWpvPnz+eqZcaMGfL19bVvNWvWLJIxAgCAkqnEBKKIiAj9/PPP+uCDD5xdiiZOnKjU1FT7dvToUWeXBAAArqNCfXRHURsxYoS+/PJLffPNN6pRo4a9PTAwUBkZGUpJSXGYJUpKSlJgYKC9z9atWx3Ol3MV2qV9/n5lWlJSknx8fOTh4ZGrHnd3d/vCcQAAcONz6gyRMUYjRozQihUrtG7dOtWuXdvheMuWLeXm5qa1a9fa2/bu3auEhASFhIRIkkJCQrRr1y4lJyfb+8TExMjHx0fBwcH2PpeeI6dPzjkAAIC1OXWGKCIiQkuXLtVnn30mb29v+5ofX19feXh4yNfXV0OGDFFkZKQqVqwoHx8fPfXUUwoJCVGbNm0kSd27d1dwcLAeeeQRzZw5U4mJiXr22WcVERFhn+UZPny4XnvtNY0fP16PPfaY1q1bp48++kjR0dFOGzsAACg5nDpD9Prrrys1NVWdOnVS1apV7duHH35o7zN37lz17t1b/fr1U4cOHRQYGOhwnyNXV1d9+eWXcnV1VUhIiB5++GGFh4dr6tSp9j61a9dWdHS0YmJi1KxZM82ePVtvvfUWl9wDAABJTp4hys9Hf5QrV07z58/X/PnzL9snKChIX3311RXP06lTJ23btq3ANQIAgBtfibnKDAAAwFkIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPIIRAAAwPLKOrsAoKi0HLfE2SVcVtyscGeXAAC4AmaIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5XFjRgBFjptkAihtmCECAACW59RA9M033+iuu+5StWrV5OLiok8//dThuDFGkyZNUtWqVeXh4aHQ0FDt37/foc/Jkyc1cOBA+fj4yM/PT0OGDNGZM2cc+uzcuVPt27dXuXLlVLNmTc2cOfN6Dw0AAJQiTg1EZ8+eVbNmzTR//vw8j8+cOVOvvPKKFi5cqC1btsjLy0thYWG6cOGCvc/AgQMVHx+vmJgYffnll/rmm280bNgw+/G0tDR1795dQUFBiouL06xZszRlyhS9+eab1318AACgdHDqGqIePXqoR48eeR4zxujll1/Ws88+q3vuuUeStGTJEgUEBOjTTz/VgAEDtGfPHq1cuVI//PCDbrvtNknSq6++qp49e+o///mPqlWrpvfff18ZGRl65513ZLPZdMstt2j79u2aM2eOQ3ACAADWVWLXEB06dEiJiYkKDQ21t/n6+qp169aKjY2VJMXGxsrPz88ehiQpNDRUZcqU0ZYtW+x9OnToIJvNZu8TFhamvXv36tSpU8U0GgAAUJKV2KvMEhMTJUkBAQEO7QEBAfZjiYmJqlKlisPxsmXLqmLFig59ateunescOccqVKiQ67nT09OVnp5u309LS7vG0QAAgJKsxM4QOdOMGTPk6+tr32rWrOnskgAAwHVUYgNRYGCgJCkpKcmhPSkpyX4sMDBQycnJDscvXryokydPOvTJ6xyXPsffTZw4Uampqfbt6NGj1z4gAABQYpXYQFS7dm0FBgZq7dq19ra0tDRt2bJFISEhkqSQkBClpKQoLi7O3mfdunXKzs5W69at7X2++eYbZWZm2vvExMTo5ptvzvPtMklyd3eXj4+PwwYAAG5cTg1EZ86c0fbt27V9+3ZJfy2k3r59uxISEuTi4qJRo0bp3//+tz7//HPt2rVL4eHhqlatmvr06SNJatSoke688049/vjj2rp1qzZt2qQRI0ZowIABqlatmiTpoYceks1m05AhQxQfH68PP/xQ8+bNU2RkpJNGDQAAShqnLqr+8ccf1blzZ/t+TkgZNGiQoqKiNH78eJ09e1bDhg1TSkqK2rVrp5UrV6pcuXL2x7z//vsaMWKEunbtqjJlyqhfv3565ZVX7Md9fX21evVqRUREqGXLlvL399ekSZO45B4AgEK4UT+ax6mBqFOnTjLGXPa4i4uLpk6dqqlTp162T8WKFbV06dIrPk/Tpk317bffFrpOAABwYyuxl90DAJDjRp2VQMlRYhdVAwAAFBcCEQAAsDwCEQAAsDwCEQAAsDwWVQMAUAxK8sJwicXhzBABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLIxABAADLs1Qgmj9/vmrVqqVy5cqpdevW2rp1q7NLAgAAJYBlAtGHH36oyMhITZ48WT/99JOaNWumsLAwJScnO7s0AADgZJYJRHPmzNHjjz+uRx99VMHBwVq4cKE8PT31zjvvOLs0AADgZJYIRBkZGYqLi1NoaKi9rUyZMgoNDVVsbKwTKwMAACVBWWcXUBz++OMPZWVlKSAgwKE9ICBAv/zyS67+6enpSk9Pt++npqZKktLS0hz6ZaWfvw7VFp2/13s5jOP6uxHGIN0Y47gRxiAxjpLkRhiDdGOM4+9jyNk3xlz9wcYCfv/9dyPJbN682aF93LhxplWrVrn6T5482UhiY2NjY2NjuwG2o0ePXjUrWGKGyN/fX66urkpKSnJoT0pKUmBgYK7+EydOVGRkpH0/OztbJ0+eVKVKleTi4nJdakxLS1PNmjV19OhR+fj4XJfnKA43wjhuhDFIjKMkuRHGIN0Y47gRxiAxjvwyxuj06dOqVq3aVftaIhDZbDa1bNlSa9euVZ8+fST9FXLWrl2rESNG5Orv7u4ud3d3hzY/P79iqFTy8fEp1d/cOW6EcdwIY5AYR0lyI4xBujHGcSOMQWIc+eHr65uvfpYIRJIUGRmpQYMG6bbbblOrVq308ssv6+zZs3r00UedXRoAAHAyywSiBx54QCdOnNCkSZOUmJio5s2ba+XKlbkWWgMAAOuxTCCSpBEjRuT5FllJ4O7ursmTJ+d6q660uRHGcSOMQWIcJcmNMAbpxhjHjTAGiXFcDy7G5OdaNAAAgBuXJW7MCAAAcCUEIgAAYHkEIgAAYHkEIuD/dOrUSaNGjXJ2GQAAJyAQAQAAyyMQAQBQimVkZDi7hBsCgcjJOnXqpKefflrjx49XxYoVFRgYqClTpji7rAI7ffq0Bg4cKC8vL1WtWlVz584tlW9BXbx4USNGjJCvr6/8/f313HPP5e9TkkuIJUuWqFKlSkpPT3do79Onjx555BEnVVVwnTp1st83rLR+LXJkZ2drxowZql27tjw8PNSsWTN9/PHHzi4rX7788kv5+fkpKytLkrR9+3a5uLjon//8p73P0KFD9fDDDzurxHyrVauWXn75ZYe25s2bl8r/b3N+PkaNGiV/f3+FhYU5u6RCyc7O1syZM1WvXj25u7vrpptu0vTp051WD4GoBFi8eLG8vLy0ZcsWzZw5U1OnTlVMTIyzyyqQyMhIbdq0SZ9//rliYmL07bff6qeffnJ2WQW2ePFilS1bVlu3btW8efM0Z84cvfXWW84uK9/uu+8+ZWVl6fPPP7e3JScnKzo6Wo899pgTKyu40v61yDFjxgwtWbJECxcuVHx8vEaPHq2HH35YGzdudHZpV9W+fXudPn1a27ZtkyRt3LhR/v7+2rBhg73Pxo0b1alTJ+cUaGGLFy+WzWbTpk2btHDhQmeXUygTJ07Uiy++qOeee067d+/W0qVLnfvpEQZO1bFjR9OuXTuHtttvv91MmDDBSRUVXFpamnFzczPLli2zt6WkpBhPT08zcuRI5xVWQB07djSNGjUy2dnZ9rYJEyaYRo0aObGqgnvyySdNjx497PuzZ882derUcRhXSXejfC0uXLhgPD09zebNmx3ahwwZYh588EEnVVUwLVq0MLNmzTLGGNOnTx8zffp0Y7PZzOnTp81vv/1mJJl9+/Y5ucqrCwoKMnPnznVoa9asmZk8ebJT6rkWHTt2NLfeequzy7gmaWlpxt3d3fz3v/91dil2zBCVAE2bNnXYr1q1qpKTk51UTcEdPHhQmZmZatWqlb3N19dXN998sxOrKpw2bdrIxcXFvh8SEqL9+/fb3zIoDR5//HGtXr1av//+uyQpKipKgwcPdhhXaXAjfC1+/fVXnTt3Tt26dVP58uXt25IlS3TgwAFnl5cvHTt21IYNG2SM0bfffqu+ffuqUaNG+u6777Rx40ZVq1ZN9evXd3aZltOyZUtnl3BN9uzZo/T0dHXt2tXZpdhZ6rPMSio3NzeHfRcXF2VnZzupGpR2t956q5o1a6YlS5aoe/fuio+PV3R0tLPLsqQzZ85IkqKjo1W9enWHYyXhs5vyo1OnTnrnnXe0Y8cOubm5qWHDhurUqZM2bNigU6dOqWPHjs4uMV/KlCmTaw1aZmamk6q5dl5eXs4u4Zp4eHg4u4RcmCHCNatTp47c3Nz0ww8/2NtSU1O1b98+J1ZVOFu2bHHY//7771W/fn25uro6qaLCGTp0qKKiorRo0SKFhoaqZs2azi6pwG6Er0VwcLDc3d2VkJCgevXqOWyl5WuSs45o7ty59vCTE4g2bNhQatYPVa5cWcePH7fvp6Wl6dChQ06syNrq168vDw8PrV271tml2DFDhGvm7e2tQYMGady4capYsaKqVKmiyZMnq0yZMqXubZqEhARFRkbqiSee0E8//aRXX31Vs2fPdnZZBfbQQw9p7Nix+u9//6slS5Y4u5xCuRG+Ft7e3ho7dqxGjx6t7OxstWvXTqmpqdq0aZN8fHw0aNAgZ5d4VRUqVFDTpk31/vvv67XXXpMkdejQQffff78yMzNLzQxRly5dFBUVpbvuukt+fn6aNGlSqQrXN5py5cppwoQJGj9+vGw2m9q2basTJ04oPj5eQ4YMcUpNBCIUiTlz5mj48OHq3bu3fHx8NH78eB09elTlypVzdmkFEh4ervPnz6tVq1ZydXXVyJEjNWzYMGeXVWC+vr7q16+foqOj1adPH2eXUyg3ytdi2rRpqly5smbMmKGDBw/Kz89PLVq00DPPPOPs0vKtY8eO2r59u302qGLFigoODlZSUlKpWSs4ceJEHTp0SL1795avr6+mTZvGDJGTPffccypbtqwmTZqkY8eOqWrVqho+fLjT6nExf39TFSgCZ8+eVfXq1TV79mynpX2r69q1q2655Ra98sorzi6lwDp16qTmzZvnum8MAFwvzBChSGzbtk2//PKLWrVqpdTUVE2dOlWSdM899zi5Mus5deqUfX3HggULnF0OAJQKBCIUmf/85z/au3evbDabWrZsqW+//Vb+/v7OLstybr31Vp06dUovvfRSqXk7AwCcjbfMAACA5XHZPQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAUgVq1anHfJKAUIxABcLrExEQ99dRTqlOnjtzd3VWzZk3dddddxfY5R+vXr1fPnj1VqVIleXp6Kjg4WGPGjNHvv/9eLM8PwPkIRACc6vDhw2rZsqXWrVunWbNmadeuXVq5cqU6d+6siIiI6/78b7zxhkJDQxUYGKjly5dr9+7dWrhwoVJTU4v1s9MyMjKK7bkA5MEAgBP16NHDVK9e3Zw5cybXsVOnTtn/PXv2bNO4cWPj6elpatSoYZ588klz+vRp+/FFixYZX19fs2LFClOvXj3j7u5uunfvbhISEi773EePHjU2m82MGjUqz+OXPv/HH39sgoODjc1mM0FBQeY///mPQ9+goCAzd+5c+/6RI0fM3Xffbby8vIy3t7e57777TGJiov345MmTTbNmzcx///tfU6tWLePi4nLZOgFcf8wQAXCakydPauXKlYqIiJCXl1eu435+fvZ/lylTRq+88ori4+O1ePFirVu3TuPHj3fof+7cOU2fPl1LlizRpk2blJKSogEDBlz2+ZctW6aMjIxc5/n788fFxen+++/XgAEDtGvXLk2ZMkXPPfecoqKi8nxcdna27rnnHp08eVIbN25UTEyMDh48qAceeMCh36+//qrly5frk08+0fbt2y9bJ4Bi4OxEBsC6tmzZYiSZTz75pMCPXbZsmalUqZJ9f9GiRUaS+f777+1te/bsMZLMli1b8jzHk08+aXx8fK76XA899JDp1q2bQ9u4ceNMcHCwff/SGaLVq1cbV1dXh9mp+Ph4I8ls3brVGPPXDJGbm5tJTk6++mABXHfMEAFwGlOATw5as2aNunbtqurVq8vb21uPPPKI/vzzT507d87ep2zZsrr99tvt+w0bNpSfn5/27Nlz2ed3cXG56nPv2bNHbdu2dWhr27at9u/fr6ysrDz716xZUzVr1rS3BQcH56olKChIlStXvurzA7j+CEQAnKZ+/fpycXHRL7/8csV+hw8fVu/evdW0aVMtX75ccXFxmj9/vqRrW4zcoEEDpaam6vjx44U+x7XI621CAM5BIALgNBUrVlRYWJjmz5+vs2fP5jqekpIi6a81PNnZ2Zo9e7batGmjBg0a6NixY7n6X7x4UT/++KN9f+/evUpJSVGjRo3yfP7+/fvLZrNp5syZeR7Pef5GjRpp06ZNDsc2bdqkBg0ayNXVNdfjGjVqpKNHj+ro0aP2tt27dyslJUXBwcF5PhcA5yIQAXCq+fPnKysrS61atdLy5cu1f/9+7dmzR6+88opCQkIkSfXq1VNmZqZeffVVHTx4UO+++64WLlyY61xubm566qmntGXLFsXFxWnw4MFq06aNWrVqledz16xZU3PnztW8efM0ZMgQbdy4UUeOHNGmTZv0xBNPaNq0aZKkMWPGaO3atZo2bZr27dunxYsX67XXXtPYsWPzPG9oaKiaNGmigQMH6qefftLWrVsVHh6ujh076rbbbiuiVw5AkXL2IiYAOHbsmImIiDBBQUHGZrOZ6tWrm7vvvtusX7/e3mfOnDmmatWqxsPDw4SFhZklS5YYSfZL43Muu1++fLmpU6eOcXd3N6GhoebIkSNXff6YmBgTFhZmKlSoYMqVK2caNmxoxo4da44dO2bvk3PZvZubm7npppvMrFmzHM5R2MvuAZQMLsYUYFUjAJRQUVFRGjVqlP1tLgAoCN4yAwAAlkcgAgAAlsdbZgAAwPKYIQIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJb3/wA72EMdQciQIgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count plot\n",
    "sns.countplot(x='cap-color', data=df, )\n",
    "plt.title('Count Plot of Cap Color Frequencies')\n",
    "plt.xlabel('Cap Color')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "618f14e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Count observations by color and toxicity\n",
    "counts = df.groupby(['cap-color-encoded', 'class']).size().reset_index(name='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "931ce993-ecce-4aee-98b6-df53b08a66f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='cap-color-encoded', y='count', hue='class', data=counts, palette={'p': 'blue', 'e': 'red'})\n",
    "\n",
    "# Add plot title and labels\n",
    "plt.title('Distribution of Mushroom Colors with Poisonous Indication')\n",
    "plt.xlabel('Color')\n",
    "plt.ylabel('Count')\n",
    "plt.legend(title='Toxicity', labels=['Edible', 'Poisonous'])\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e81d0617-7e49-423f-b6d7-7bdf92ec7fa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1.17609317]), array([0.27815279]))"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff = df[df['cap-color-encoded']<10]\n",
    "chi2(dff[['cap-color-encoded']],dff['class-encoded'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "405b65e9-f10a-4d98-b812-4fadff77660f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cap-color-encoded</th>\n",
       "      <th>class-encoded</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22527.000000</td>\n",
       "      <td>22527.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.473432</td>\n",
       "      <td>0.449061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.677623</td>\n",
       "      <td>0.497410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       cap-color-encoded  class-encoded\n",
       "count       22527.000000   22527.000000\n",
       "mean            4.473432       0.449061\n",
       "std             2.677623       0.497410\n",
       "min             0.000000       0.000000\n",
       "25%             3.000000       0.000000\n",
       "50%             4.000000       0.000000\n",
       "75%             7.000000       1.000000\n",
       "max             9.000000       1.000000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e8187689-c4d0-4181-aff4-666b0a43138b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Count observations by color and toxicity\n",
    "counts = df.groupby(['odor', 'class']).size().reset_index(name='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2e3c3a6c-4d7b-4fed-befe-0ef7f74147fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the bar plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='odor', y='count', hue='class', data=counts, palette={'p': 'blue', 'e': 'red'})\n",
    "\n",
    "# Add plot title and labels\n",
    "plt.title('Distribution of Mushroom Colors with Poisonous Indication')\n",
    "plt.xlabel('Color')\n",
    "plt.ylabel('Count')\n",
    "plt.legend(title='Toxicity', labels=['Edible', 'Poisonous'])\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "181dea12-cf1e-43b3-8481-95de9678fedb",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()\n",
    "df['odor-encoded'] = le.fit_transform(df['odor'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6a32306f-9926-45fc-8cbb-0d2cd8070afb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('a', np.int64(0)), ('c', np.int64(1)), ('f', np.int64(2)), ('l', np.int64(3)), ('m', np.int64(4)), ('n', np.int64(5)), ('p', np.int64(6)), ('s', np.int64(7)), ('y', np.int64(8)), (nan, np.int64(9))]\n"
     ]
    }
   ],
   "source": [
    "print(list(zip(le.classes_, le.transform(le.classes_))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1e21f0b6-598c-4ad1-a431-192873978da5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([500.23469597]), array([8.45094378e-111]))"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chi2(df[['odor-encoded']],df['class-encoded'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d9b7b284-8285-4121-86f5-abfa21aa9f84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "df = pd.read_csv(filepath)\n",
    "mushrooms_encoded = pd.get_dummies(df)\n",
    "corr = mushrooms_encoded.corr()\n",
    "sns.set(rc={'figure.figsize': (10, 8)})\n",
    "sns.heatmap(corr, cmap=\"Blues\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7ff1e04d-41dd-48b9-97e4-c17ca7351f75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class_e                      -1.000000\n",
       "class_p                       1.000000\n",
       "odor_f                        0.377583\n",
       "odor_n                       -0.423318\n",
       "gill-size_b                  -0.122242\n",
       "gill-size_n                   0.122991\n",
       "stalk-surface-above-ring_k    0.125727\n",
       "Name: class_p, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr.class_p[abs(corr.class_p)>0.1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "961a4b15-dbfb-4585-86f6-5d0bddd1f444",
   "metadata": {},
   "source": [
    "## Data Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f5cf2242-b167-4111-a509-ede1e11c8c75",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "\n",
    "df = pd.read_csv(filepath)\n",
    "X = df.drop('class', axis = 1)\n",
    "y = df['class']\n",
    "\n",
    "X = pd.get_dummies(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2be1f0e",
   "metadata": {},
   "source": [
    "### Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f9c04f98-a08e-4700-a663-0d2f143c773f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.671219699884571\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.69      0.73      0.71      2873\n",
      "           p       0.64      0.60      0.62      2325\n",
      "\n",
      "    accuracy                           0.67      5198\n",
      "   macro avg       0.67      0.66      0.67      5198\n",
      "weighted avg       0.67      0.67      0.67      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize the DecisionTreeClassifier\n",
    "clf = DecisionTreeClassifier(random_state=10, criterion='entropy',class_weight = {'p':100, 'e':0.1})\n",
    "\n",
    "# Fit the model\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"Accuracy: {accuracy}\")\n",
    "\n",
    "print(\"Classification Report:\")\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c641e9dc-e55a-4b53-8ee7-4b16f61ad6f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2086,  787],\n",
       "       [ 922, 1403]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
    "\n",
    "confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3bc8d713-cb12-46c1-9ace-d977e48e5b68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "cm_display = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=clf.classes_)\n",
    "\n",
    "# Plot the confusion matrix\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=clf.classes_, yticklabels=clf.classes_)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "390a17b1",
   "metadata": {},
   "source": [
    "### Testing more methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "38933f3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def classifier_tryout(clf, X_train, y_train, X_test, y_test):\n",
    "\tclf.fit(X_train, y_train)\n",
    "\n",
    "\t# Make predictions\n",
    "\ty_pred = clf.predict(X_test)\n",
    "\n",
    "\t# Evaluate the model\n",
    "\taccuracy = accuracy_score(y_test, y_pred)\n",
    "\tprint(f\"Accuracy: {accuracy}\")\n",
    "\n",
    "\tprint(\"Classification Report:\")\n",
    "\tprint(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06ef4cb1-23c9-468a-8803-0db9dc26ad0b",
   "metadata": {},
   "source": [
    "### Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "876eb165-83e6-404d-9397-9ca9e0ed0985",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7418237783762985\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.77      0.75      0.76      2873\n",
      "           p       0.71      0.73      0.72      2325\n",
      "\n",
      "    accuracy                           0.74      5198\n",
      "   macro avg       0.74      0.74      0.74      5198\n",
      "weighted avg       0.74      0.74      0.74      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "clf = RandomForestClassifier(random_state=42, class_weight={'e':100, 'p':1})\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a69f38e-fbec-461b-9a67-6384638eb203",
   "metadata": {},
   "source": [
    "### Support Vector Machines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4decd3d2-2549-40f2-8d6f-6dd9a6e9ef6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.749134282416314\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.76      0.80      0.78      2873\n",
      "           p       0.73      0.69      0.71      2325\n",
      "\n",
      "    accuracy                           0.75      5198\n",
      "   macro avg       0.75      0.74      0.74      5198\n",
      "weighted avg       0.75      0.75      0.75      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "# Initialize the RandomForestClassifier\n",
    "clf = SVC(random_state=42, kernel='rbf')\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aed528e4-5585-4ec9-9fe6-399a1cb54256",
   "metadata": {},
   "source": [
    "### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "fd9ebd7b-48da-4652-a149-04bcf0bc015e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.746056175452097\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.76      0.78      0.77      2873\n",
      "           p       0.72      0.70      0.71      2325\n",
      "\n",
      "    accuracy                           0.75      5198\n",
      "   macro avg       0.74      0.74      0.74      5198\n",
      "weighted avg       0.75      0.75      0.75      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Initialize the LogisticRegression\n",
    "clf = LogisticRegression(random_state=42)\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb802b79-197a-411d-aec9-c203c956ef30",
   "metadata": {},
   "source": [
    "### k-Nearest Neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "31601aa2-588b-4997-aee2-dbc36e9ea45e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.6854559445940747\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.70      0.76      0.73      2873\n",
      "           p       0.67      0.60      0.63      2325\n",
      "\n",
      "    accuracy                           0.69      5198\n",
      "   macro avg       0.68      0.68      0.68      5198\n",
      "weighted avg       0.68      0.69      0.68      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "# Initialize the KNeighborsClassifier\n",
    "clf = KNeighborsClassifier(weights='uniform')\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9bf489b-b3f8-45c3-8d4d-979e76eb1f7c",
   "metadata": {},
   "source": [
    "### GradientBoost "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3f393c0c-534d-44d7-8b12-3f5659a5117b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7518276260100039\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.77      0.79      0.78      2873\n",
      "           p       0.73      0.70      0.72      2325\n",
      "\n",
      "    accuracy                           0.75      5198\n",
      "   macro avg       0.75      0.75      0.75      5198\n",
      "weighted avg       0.75      0.75      0.75      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "\n",
    "# Initialize the GradientBoostingClassifier\n",
    "clf = GradientBoostingClassifier(random_state=42)\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74f7245a-3478-4c53-afbf-53c2a9b3e0f4",
   "metadata": {},
   "source": [
    "### Neural Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "786d1642-2aec-4987-bad9-afe56337cae2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7052712581762216\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.73      0.73      0.73      2873\n",
      "           p       0.67      0.67      0.67      2325\n",
      "\n",
      "    accuracy                           0.71      5198\n",
      "   macro avg       0.70      0.70      0.70      5198\n",
      "weighted avg       0.71      0.71      0.71      5198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neural_network import MLPClassifier\n",
    "\n",
    "# Initialize the MLPClassifier\n",
    "clf = MLPClassifier(random_state=42, hidden_layer_sizes=(1000,10,), learning_rate='adaptive')\n",
    "classifier_tryout(clf, X_train, y_train, X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16de7a29",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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