red-wine-quality-analysis-knn-88-acc.ipynb

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    "<p style = \"font-size : 50px; color : #000000 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #ff0000; border-radius: 5px 5px;\"><strong>🍷 Red Wine Quality Analysis</strong></p>\n",
    "\n",
    "\n",
    "\n",
    "<p style = \"font-size : 25px; color : #000000  ; font-family : 'Comic Sans MS';  \"><strong> Context:-</strong></p>\n",
    "<p style = \"font-size : 22px; color : #000000  ; font-family : 'Comic Sans MS';  \"><strong> The two datasets are related to red and white variants of the Portuguese \"Vinho Verde\" wine. For more details, consult the reference [Cortez et al., 2009]. Due to privacy and logistic issues, only physicochemical (inputs) and sensory (the output) variables are available (e.g. there is no data about grape types, wine brand, wine selling price, etc.).</strong></p>\n",
    "<p style = \"font-size : 22px; color : #000000  ; font-family : 'Comic Sans MS';  \"><strong>These datasets can be viewed as classification or regression tasks. The classes are ordered and not balanced (e.g. there are much more normal wines than excellent or poor ones).\n",
    " </strong></p>\n",
    "\n",
    "\n"
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    "<p style = \"font-size : 35px; color : #34656d ; font-family : 'Comic Sans MS'; text-align : center; background-color : #f9b208; border-radius: 5px 5px;\"><strong>Table of Contents</strong></p> \n",
    "\n",
    "* [Imporing Libraries](#1.0)\n",
    "* [Loading the data](#2.0)\n",
    "* [Exploratory Data Analysis (EDA)](#3.0)  \n",
    "* [Data Preprocessing](#4.0) \n",
    "* [Data Modeling](#5.0) \n",
    "* [Accuracy Score](#6.0) \n",
    "* [Visualization](#7.0) "
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    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Importing Libraries</strong></p>"
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    "#Libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "#Split Data Train and Test\n",
    "from sklearn.model_selection import train_test_split, StratifiedKFold, cross_val_score, GridSearchCV\n",
    "\n",
    "#Modelling\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import accuracy_score, classification_report, roc_auc_score, plot_roc_curve"
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    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Loading the dataset</strong></p>"
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   "source": [
    "train_data=pd.read_csv(\"../input/red-wine-quality-cortez-et-al-2009/winequality-red.csv\")"
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    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Exploratory Data Analysis (EDA)</strong></p>"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.075</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.9</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.069</td>\n",
       "      <td>15.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.9964</td>\n",
       "      <td>3.30</td>\n",
       "      <td>0.46</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.3</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.065</td>\n",
       "      <td>15.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.9946</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.47</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.073</td>\n",
       "      <td>9.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.36</td>\n",
       "      <td>0.57</td>\n",
       "      <td>9.5</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.5</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.36</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.071</td>\n",
       "      <td>17.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.35</td>\n",
       "      <td>0.80</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
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       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "5            7.4              0.66         0.00             1.8      0.075   \n",
       "6            7.9              0.60         0.06             1.6      0.069   \n",
       "7            7.3              0.65         0.00             1.2      0.065   \n",
       "8            7.8              0.58         0.02             2.0      0.073   \n",
       "9            7.5              0.50         0.36             6.1      0.071   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "1                 25.0                  67.0   0.9968  3.20       0.68   \n",
       "2                 15.0                  54.0   0.9970  3.26       0.65   \n",
       "3                 17.0                  60.0   0.9980  3.16       0.58   \n",
       "4                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "5                 13.0                  40.0   0.9978  3.51       0.56   \n",
       "6                 15.0                  59.0   0.9964  3.30       0.46   \n",
       "7                 15.0                  21.0   0.9946  3.39       0.47   \n",
       "8                  9.0                  18.0   0.9968  3.36       0.57   \n",
       "9                 17.0                 102.0   0.9978  3.35       0.80   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  \n",
       "5      9.4        5  \n",
       "6      9.4        5  \n",
       "7     10.0        7  \n",
       "8      9.5        7  \n",
       "9     10.5        5  "
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WST4CTANvrKp3T7qe5ZDkCWC6qo6Ih1uSbAf+o6qub3ecvb6qnp9wWcuifX3JHuYffHxy0vWMS5LVzGfW6VX1P0luAm6rqs+O6hiH7ZV7zftp6x7dXofnT6ohJVkDXARcP+laNB5JjgfeCdwAUFW/OFKCvdkA/KDnYB+wAnhdkhXA64H/GuWHH7bhDr9eorgf2AvcXlV3T7ikcfsk8FHgVxOuY7kV8I0k97SvrejZqcAc8Jm2/HZ9kuMmXdQyugz4wqSLGLeq2gP8A/BD4Cnghar6xiiPcViHe1X9sqrOYP4p2LOT/MGESxqbJO8G9lbVPZOuZQLeUVVnMf9No1cleeekCxqjFcBZwHVVdSbwM2DrZEtaHm0J6mLgy5OuZdySnMD8FyqeCvwecFySvxjlMQ7rcN+n/dp6J3D+hEsZp7cDF7f15y8C5yb5l8mWtDzaVQ5VtRe4hflvHu3VbmD3wG+hNzMf9keCC4B7q+qZSReyDP4M+M+qmquq/wO+AvzxKA9w2IZ7kqkkK1v7dcB5wKMTLWqMqupjVbWmqtYx/6vrHVU10p/0r0ZJjkvyhn1t4F3Ag5Otanyq6mlgV5LT2tAG4OEJlrScLucIWJJpfgick+T17eaQDcAjozzA4fwPZJ8CbG9/XX8NcFNVHTG3Bx5BVgG3zP//zwrg81X19cmWNHYfBD7XlikeB66ccD1j135wnwe8f9K1LIequjvJzcC9wEvAfYz4awgO21shJUkHd9guy0iSDs5wl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR36fzn5VhDHcthCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "ax=fig.add_subplot(1,1,1)\n",
    "ax.hist(train_data['quality'],bins=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "logical-collaboration",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:05.757106Z",
     "iopub.status.busy": "2021-06-27T18:36:05.756363Z",
     "iopub.status.idle": "2021-06-27T18:36:06.236392Z",
     "shell.execute_reply": "2021-06-27T18:36:06.235834Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.118851Z"
    },
    "id": "OmJ4HyI6e1rn",
    "outputId": "dfb2a283-f5a5-491a-c9b9-9cd6afc7bfe5",
    "papermill": {
     "duration": 0.535671,
     "end_time": "2021-06-27T18:36:06.236526",
     "exception": false,
     "start_time": "2021-06-27T18:36:05.700855",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Complete Data exploration\n",
    "f = plt.figure()\n",
    "f.set_figwidth(20)\n",
    "f.set_figheight(10)\n",
    "x=train_data['quality']\n",
    "plt.plot(x,train_data['fixed acidity'],'r',label='Fixed acidity')\n",
    "plt.plot(x,train_data['free sulfur dioxide'],'pink',label='free sulfur dioxide')\n",
    "plt.plot(x,train_data['residual sugar'],'maroon',label='residual sugar')\n",
    "plt.plot(x,train_data['total sulfur dioxide'],'lightseagreen',label='total sulfur dioxide')\n",
    "plt.plot(x,train_data['volatile acidity'],'b',label='Volatile acidity')\n",
    "plt.plot(x,train_data['citric acid'],'g',label='citric acid')\n",
    "plt.plot(x,train_data['pH'],'y',label='pH')\n",
    "plt.plot(x,train_data['alcohol'],'v',label='alcohol')\n",
    "plt.plot(x,train_data['chlorides'],'c',label='chlorides')\n",
    "plt.plot(x,train_data['sulphates'],'m',label='sulphates')\n",
    "plt.plot(x,train_data['density'],'k',label='density')\n",
    "plt.legend(loc=0)\n",
    "plt.figure()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "focused-confirmation",
   "metadata": {
    "id": "w43p_XmIPJ8G",
    "papermill": {
     "duration": 0.03441,
     "end_time": "2021-06-27T18:36:06.306090",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.271680",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<a id = '4.0'></a>\n",
    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Data Preprocessing</strong></p>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "digital-pitch",
   "metadata": {
    "papermill": {
     "duration": 0.035008,
     "end_time": "2021-06-27T18:36:06.375937",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.340929",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>• Remove Dulpicates</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "coupled-poultry",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:06.448412Z",
     "iopub.status.busy": "2021-06-27T18:36:06.447737Z",
     "iopub.status.idle": "2021-06-27T18:36:06.459894Z",
     "shell.execute_reply": "2021-06-27T18:36:06.460444Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.615205Z"
    },
    "id": "xsWc9WlbPGx5",
    "papermill": {
     "duration": 0.050003,
     "end_time": "2021-06-27T18:36:06.460620",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.410617",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_data.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "positive-spyware",
   "metadata": {
    "papermill": {
     "duration": 0.034232,
     "end_time": "2021-06-27T18:36:06.529612",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.495380",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>• Finding null values</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "limited-trance",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:06.607439Z",
     "iopub.status.busy": "2021-06-27T18:36:06.606756Z",
     "iopub.status.idle": "2021-06-27T18:36:06.609439Z",
     "shell.execute_reply": "2021-06-27T18:36:06.609908Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.624527Z"
    },
    "id": "qrIEoRzjgXYU",
    "outputId": "d343846e-4880-45ad-ac78-26d8af4dd16c",
    "papermill": {
     "duration": 0.045574,
     "end_time": "2021-06-27T18:36:06.610089",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.564515",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fixed acidity           0\n",
       "volatile acidity        0\n",
       "citric acid             0\n",
       "residual sugar          0\n",
       "chlorides               0\n",
       "free sulfur dioxide     0\n",
       "total sulfur dioxide    0\n",
       "density                 0\n",
       "pH                      0\n",
       "sulphates               0\n",
       "alcohol                 0\n",
       "quality                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comparable-gravity",
   "metadata": {
    "papermill": {
     "duration": 0.03524,
     "end_time": "2021-06-27T18:36:06.679965",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.644725",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>• Finding Co-relation between data features attributes</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dynamic-dietary",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:06.753687Z",
     "iopub.status.busy": "2021-06-27T18:36:06.752988Z",
     "iopub.status.idle": "2021-06-27T18:36:06.779885Z",
     "shell.execute_reply": "2021-06-27T18:36:06.779360Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.640697Z"
    },
    "id": "7No8xPIcP2oy",
    "papermill": {
     "duration": 0.064614,
     "end_time": "2021-06-27T18:36:06.780046",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.715432",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "Corr=train_data.corr()\n",
    "Corr_res=[]\n",
    "for i in range(0,len(train_data.dtypes)):\n",
    "  for j in range(0,len(train_data.dtypes)):\n",
    "    value=Corr.iloc[i:i+1,j:j+1].values\n",
    "    if value>0.8 and value!=1 :\n",
    "     Corr_res.append(Corr.columns[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "compressed-perception",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:06.858253Z",
     "iopub.status.busy": "2021-06-27T18:36:06.857252Z",
     "iopub.status.idle": "2021-06-27T18:36:06.978136Z",
     "shell.execute_reply": "2021-06-27T18:36:06.977461Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.674395Z"
    },
    "id": "N7fV-1ECQTHe",
    "papermill": {
     "duration": 0.163454,
     "end_time": "2021-06-27T18:36:06.978284",
     "exception": false,
     "start_time": "2021-06-27T18:36:06.814830",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Standardization\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "std = StandardScaler()\n",
    "train_data.iloc[:,:-1]=std.fit_transform(train_data.iloc[:,:-1]) #Standardize data set except dependent value(Quality feature)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "future-number",
   "metadata": {
    "id": "M-N_4rkqRu6N",
    "papermill": {
     "duration": 0.034566,
     "end_time": "2021-06-27T18:36:07.047610",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.013044",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>Splitting the data</strong></p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "constant-oriental",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:07.125183Z",
     "iopub.status.busy": "2021-06-27T18:36:07.124177Z",
     "iopub.status.idle": "2021-06-27T18:36:07.127626Z",
     "shell.execute_reply": "2021-06-27T18:36:07.126947Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.698044Z"
    },
    "id": "LMWCpHKQRo6v",
    "papermill": {
     "duration": 0.044634,
     "end_time": "2021-06-27T18:36:07.127768",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.083134",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Assigning dataframe to list of array values\n",
    "X=train_data.iloc[:,:-1].values\n",
    "Y=train_data.iloc[:,-1].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "printable-syntax",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:07.204051Z",
     "iopub.status.busy": "2021-06-27T18:36:07.203049Z",
     "iopub.status.idle": "2021-06-27T18:36:07.207819Z",
     "shell.execute_reply": "2021-06-27T18:36:07.207285Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.706855Z"
    },
    "id": "qLQrWaPDRucP",
    "papermill": {
     "duration": 0.044596,
     "end_time": "2021-06-27T18:36:07.207954",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.163358",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Split the data set in the ratio of 80:20 \n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(X,Y,test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loving-bargain",
   "metadata": {
    "id": "JrejYcwFh9W5",
    "papermill": {
     "duration": 0.034667,
     "end_time": "2021-06-27T18:36:07.277722",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.243055",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<a id = '5.0'></a>\n",
    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Data Modeling</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "meaning-third",
   "metadata": {
    "papermill": {
     "duration": 0.034817,
     "end_time": "2021-06-27T18:36:07.347894",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.313077",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 27px; color : #D35400 ; font-family : 'Comic Sans MS';  \"><strong>K-Nearest Neighbors</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cutting-black",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:07.420495Z",
     "iopub.status.busy": "2021-06-27T18:36:07.419828Z",
     "iopub.status.idle": "2021-06-27T18:36:08.400219Z",
     "shell.execute_reply": "2021-06-27T18:36:08.400740Z",
     "shell.execute_reply.started": "2021-06-13T11:47:02.720731Z"
    },
    "id": "IVHMJnaKSD95",
    "outputId": "9e2ece32-5a8b-4edb-c9f4-ad1a630ee21f",
    "papermill": {
     "duration": 1.018034,
     "end_time": "2021-06-27T18:36:08.400915",
     "exception": false,
     "start_time": "2021-06-27T18:36:07.382881",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Error Rate')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "error_rate = []\n",
    "for i in range(1, 40):\n",
    "\t\n",
    "\tknn = KNeighborsClassifier(n_neighbors = i)\n",
    "\tknn.fit(x_train, y_train)\n",
    "\tpred_i = knn.predict(x_test)\n",
    "\terror_rate.append(np.mean(pred_i != y_test))\n",
    "\n",
    "plt.figure(figsize =(10, 6))\n",
    "plt.plot(range(1, 40), error_rate, color ='blue',\n",
    "\t\t\t\tlinestyle ='dashed', marker ='o',\n",
    "\t\tmarkerfacecolor ='red', markersize = 10)\n",
    "\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "occasional-apple",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:08.477250Z",
     "iopub.status.busy": "2021-06-27T18:36:08.476484Z",
     "iopub.status.idle": "2021-06-27T18:36:08.486728Z",
     "shell.execute_reply": "2021-06-27T18:36:08.487256Z",
     "shell.execute_reply.started": "2021-06-13T11:47:03.694558Z"
    },
    "id": "Dzmu35nLi32x",
    "outputId": "8c8c89ac-47ce-41e0-a0d9-93fe1cf46149",
    "papermill": {
     "duration": 0.050234,
     "end_time": "2021-06-27T18:36:08.487473",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.437239",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(metric='manhattan', n_neighbors=21)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#K=21 has lowest error rate\n",
    "#Model Fit\n",
    "classifier2 = KNeighborsClassifier(n_neighbors= 21, metric = 'manhattan', p = 2,weights='uniform')\n",
    "classifier2.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "attractive-safety",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:08.564978Z",
     "iopub.status.busy": "2021-06-27T18:36:08.564341Z",
     "iopub.status.idle": "2021-06-27T18:36:08.662606Z",
     "shell.execute_reply": "2021-06-27T18:36:08.663158Z",
     "shell.execute_reply.started": "2021-06-13T11:47:03.709621Z"
    },
    "id": "7AKwEUBGSR6F",
    "papermill": {
     "duration": 0.138019,
     "end_time": "2021-06-27T18:36:08.663351",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.525332",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Predicting the ouput from input data (x_train) and (y_train) \n",
    "y_pred1 = classifier2.predict(x_train)\n",
    "y_pred2 = classifier2.predict(x_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nasty-rouge",
   "metadata": {
    "papermill": {
     "duration": 0.036093,
     "end_time": "2021-06-27T18:36:08.736258",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.700165",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<a id = '6.0'></a>\n",
    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Accuracy Score</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "clean-scroll",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:08.812467Z",
     "iopub.status.busy": "2021-06-27T18:36:08.811814Z",
     "iopub.status.idle": "2021-06-27T18:36:08.820658Z",
     "shell.execute_reply": "2021-06-27T18:36:08.821406Z",
     "shell.execute_reply.started": "2021-06-13T11:47:03.836589Z"
    },
    "id": "x30u84I-ST2a",
    "outputId": "7139aa45-4e48-4dd2-9267-0e42ae231b49",
    "papermill": {
     "duration": 0.04883,
     "end_time": "2021-06-27T18:36:08.821639",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.772809",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score of train data set: 0.6264949402023919\n",
      "Accuracy score of test data set: 0.6139705882352942\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "print(\"Accuracy score of train data set:\",accuracy_score(y_train, y_pred1))\n",
    "print(\"Accuracy score of test data set:\",accuracy_score(y_test, y_pred2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "everyday-present",
   "metadata": {
    "papermill": {
     "duration": 0.036571,
     "end_time": "2021-06-27T18:36:08.895652",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.859081",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<a id = '7.0'></a>\n",
    "<p style = \"font-size : 35px; color :#000080 ; font-family : 'Comic Sans MS'; text-align : center; background-color : #808080; border-radius: 5px 5px;\"><strong>Visualization</strong></p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "outer-graduation",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:08.997808Z",
     "iopub.status.busy": "2021-06-27T18:36:08.997088Z",
     "iopub.status.idle": "2021-06-27T18:36:09.139987Z",
     "shell.execute_reply": "2021-06-27T18:36:09.140550Z",
     "shell.execute_reply.started": "2021-06-13T11:47:03.847203Z"
    },
    "id": "DQrA54coSeuR",
    "outputId": "d1ee0d28-90f4-46d8-f2d8-25fc493bb944",
    "papermill": {
     "duration": 0.208307,
     "end_time": "2021-06-27T18:36:09.140740",
     "exception": false,
     "start_time": "2021-06-27T18:36:08.932433",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fb4debab9d0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zs6Nt6Gx7Cimzve0Lk39QmraMp3zj1cwrbBsUu6388istFSkry213UD1a2x6F1KFQm3PlHTYvM498fZCv38vKWtdfwEIJ8r1BK3wTw2HAvHzpWuuoKys9iy7jEvkL5wiI7MEieZvdpTfrBERiMS/Nb5guf+YnqcbZe/BKka9/XeTDD1tVdmvstD+Vle1edPvZ8+CDIuPHizQ3F73MNtm3dKnIrruKfPFFm2yprBQZxKeyhF3lq7yXSqPH01H8U15gP1E0hbYtqNy9WSCL2EMq2JTKK2wb6HRTuEueYFJ2um9/W+Svfw3RcJn57c7bspjdpB+rU3nOYKpcxO8CHc4TTJIp3OVva22tyKhRIi+8kFXWvsyX9fSU1fTLaOuw41HnM4558hqjpJxaUTTJPMbJUfyzoLGk89qFd2QJu8oAvhAQeYTJchq3+eaRr68qK0USbJFX2FMm8HzRfEEuR12oRj0FmOW3Qik1TSm1UCm1sLXP81ixwvven3nsx3wARrGIYSxhMB8D0NTkpRnHfxjPC6ltu338Prz7rvdpZ7SdYZe3N0Wx57XX4IUX0g1cxDLbZN/ixfDOO7B8eZtsWbECdua/7MY7DCP9YmFd3T15jf2ZTze2hLYtKM2evMZI3mQ7PkulC9sG+n81r3AAz2ene/55eOWV/MZZ2w3nbXZnKVUsS60bzwvszUuB2x7IbMbwqr+tn38OixaB8Z5NvX5X3qEXG+nP2ozywo5HnW5PXmM0ixjAaiqoZT/+k2GP3zZBy4exmN14J2XPATyfVXedNl9eK1bAAFYzhtcYyRsF2dNaQjtqpVQZcDRwn996EZkhImNFZOzAgQNbZYx+81Q5dcRpTP0GUv9jMVL/9TqAHb7iraexsVVlt8bOsMvbm6LY01hY+xVSZpvsC2FXmPyHDCFrTEHmeDLXhbEtKI3Ow8wrbBvo/3EaUzZlpGtsLGiMm/mZNvmVYRNoA4B+cbLxAmW7LPt32PFo+gGdh92mQdsELdd2mN92XjptvryGDMn2S2HtaS2FRNTfAF4Vkc+La0KaK6+EigpIkEw1QIIk4DVIRQVMm+alidOYWldRAVNP7zhHre00qajwlncGRbGnQEddSJltsi+EXWHyv/JK6JHIHFP2eNLrwtrmV66Zv5lX2DbQ6eI0EqMZkMx0BTpqMz9tU2kplJXldtSKZkqQ1PosW5PJzG+fsoDg7UPYbO77PeLpNrXJlbdtU5xGSksz/YedR76+uvJK6FOets2mrKwdfEGQJmJ/gLuB74VJ21qNWsQT4ReX7iGL2U369xf5dcWfRECO3u7FDDH/1bJ9ZBlDpLKyRbh/7DFPHHrggVaXXaidlZUiSknahk6kzfacf77Xfl9+2S5lttq+O+/07Jo9u822PH3RkyIgU/lrRpqZM0Vu6HWRCMj+O/y3oLazyz3zTJH/7X25CMgx283PuqAZpg1mzhS5s8ePREB2HtKQma6sTOSUU8Ib2JLf+f1vEwE57SuPpy5uroztJP/mMFEqra127y7Sv79InHoRkP/jTH9bX3zR2+CSS7LK+lW/61MZHs1DrRqPM2eKXNP7EhGQg3dYIg/9+QMRkNt7/jjj2kKYvGfOFDm3/0wRkO8Oek5mzhRpUiXyWMVxgX2Rr68e+80rIiA/5/cZ7de/f+t9AW29mAh0B9YAvcOkb4ujFhHvouDXvub9vvJKz8x58zLTVFeLDBqU/v/ww166e+9tW9nbKued57Xf6tWdbUkmt93m2fX0023P6/HHvbyuvz57nT5QLVnS9nJ++Usvr+eea30eU6d6eWzZkrm8pETkxBMLz++vf/Xye/DB9LLttxc5+GD/9LW1Xvof/tB//Zw53vqLLsped801ac91//2F26q5yDt4yptviixe7P2eOrV1ed1+u7f9U095F8xBZPLk1ts2f76Xx29/2/o8LHI56lDPoxaRzUD/IgfzwdTVeZMT9W/IvsjV1JShj6XWd4D0sVVSoPTRYWh7Ql7kzInOo85H58y1rlB89NuC8esPEWhubl1b6HzsfSaov/O1e646mnm2ZTyZ+35DQ3B5YTDbsxh9rbftoP0lmncmJpPpxtQamN0gjY0Z+lhRd+htEd1uUWu/Yh6AdR7JbJ0z57pC8dFvC8avP9rSFvb+pPMJ6u98ZeWqo5/NrcHc99vapmZ7FqOv9bYdtL902BteCiKZTEfU+Ry1iHdLUFQjwq5CVNuvmHZ1JUftV++2tIVf/XJdmMxXVq46FiuiLqajNutTTEe9zUfUdmP6SR8i2ZF01BxNVyHqEXUxpY9cUWDUHLVZ77acNfrVry3SR0c6alPmbKv00dRUnL7e5h21iNcZto7kF1H7rY+ao+kqbEsRdS5dNSoatV/g0ZZgxK9+bZE+ctWxWNKHuW8XS/owI+piaNQd5G+i56gbGzMj5VzSh9/6qDmarkJU289JH7mXFZqfkz6c9FEUbKkjl/Tht95F1K0jqu23rUofuS4mFkP6EMmUAcKUb9KRFxObmop7MbGY0sc2G1HbR6p80oeLqItDVNuvoyPqYkgfOv9iT88rRkStbWpuzp1XvrJ0Pu0ZUZv7frE06mJF1Nv89Dy7AfJF1LZWFDVH01WIuqPuqHnUxYioczmxsORy1G2ZR23vT229mBik9+uHqBTrYmIxpY9izKN20ofROSKFa9RRO3XvKkRd+tjWNOr2nkedb39p6zzqRCJ3/mFw86hTRNdRg3d65i4mdgxRbT93MTH3skLzC7u/tPVionbUxbqY2B7SR67piYXY1gFEz1Hb04dy3UJupnfSR9uIuqPuSreQt7dGXYxbyNsqfeS7hbwYjtq0tT2kj7bkt81r1PaEfCd9dAxO+gheVyjF0Ki7uvRRWurdMRxl6aMt+Tnpw5rn6aSPjiGq7eekj9zLCs2vo6SPeNz7FFv6aGhIz1gpBD/pwyyjLbZ1AF3HUZtHLrOjwl7FduQm6hF1R82jjpr0UexbyIslfeRz1LGY9ym29BFUZj7M+hRD+tjmHbX9GEY/Lcj87W4hLw7bUkSd6xbyqEkfZr2LcQt5saSPfLeQ64i62NKHubwQ/G4hh9YfTLf5W8jDRNR+R0QXUbeNqDvqrnJnYnNz+tnJ28I86uZmf1myrdJHY2P6zLmYEXWxLiZu8xF1GI3aT2OKqqPpKkRd+ugqGnV9ffp3MRy1n/RRzIuJbdWo7d96m7ZKH7YfMCPf1kTBQVPynKNuJfYA8LvVNZejjpqj6SpE9UDX0RcT26pRm3lH+el5Zh5+F+fCzvqwf+tt2yp92NN020v6cLM+WonZQZs2pX8HSR9uHnVxiLqj7iq3kJt5dwXpwy4jbFm5ItxiSB9B03TtdWEJkj7aqlG7iBqorU3/dtJH+7ItSR9Buiq03VG31aHY9rS39BGUn5M+wtnnHDWweXP6t5M+2peoHujaQ/oAf+fit7xQ9PaxWNeY9WHmm698k2Qy/eCl9pA+/K5VBZUXBid9FJkgR+1mfbQvUXfUxZQ+wN+5QPE06t69u8Yt5HYZYcuqq/PqCO0TUdvTdJPJ4PLCUOxZH9u89GF2UJiI2s2jLg7bkvQB/roqFE+j7t07ureQm29QsssIW5bpOO22bK+Iui2OOugW8tYeTF1E7SLqTsFF1P7LC0Vv36tX+11MbG72nG1r8gNvnndbI+pk0quj/m1vW+yLiXV16fLaolEXK6J2GnUbNeqoOZquQlTbr6M16mJJH716eXkV6lBte4LGfaEHLjuKLMbFxFyOupjSh46og8oLg1kfdzGxCDjpo3Nw0of3XayIunfvbImhEHJJH1B4vnYU2RbpQ999GRThbu3Sh4i7hdxJH51E1CPqriJ9mBp1a/Nrbs5/o1dbIupksjDpwz4rMA9G5n9z261Z+mhsTLfJNhtRu3nUncO2FlG39/S8tpymh4miixlR53LUkH3nYhhHXex51MWa9VGMedS2bR1AtB21m0fdcUT1QNfRGrUdcRWK7cRaE/0FOee2SB+5NOpc0odfWfkORsW+hbyuzjtYFOPgVwyN2o72O4DoOeq6Ou/tEJC+hby01D/KKC11t5AXAxH/U+0oUGzpQ48tP11Vr2tLVJ0v2gxDUFDSVunDrF9Y6cOvLFveac9byEtL0wFbWw5+fgdi038Ugt6mtDRaEbVSqo9S6n6l1FKl1BKl1Lj2MKamBl6cm+TLhgoAVr7bIn1UVEBjIzU1UFUFB03wGufLhgoWvZxEKZj3vLfspf80UlLivQVIKe/sSylvzCjlbV9TE1x+VZWXzswjbD56+5KS9PqaGhgwIDMv+9Ojh/fR/wcMgLPOSuc1YEA6D13+gAHhtjFtCbLxrjvTO+LvrmxiwIDg9GYZfv/NNjHbU9ttt6ttt85T1/etNzzbnn6iMdWeQeXl68M5zzZSq7yx9Z2jk6nya2YKNDWxodFb99Udkxltq/ve7NOgfj73DG8n/vEvvejvkAnJvH1p92mfnumdf9Gr6b555cX08h0GNabtDxjPZnssXZyu3xOPJDn3x+m8Hn8kt6Ou2rExox1H7+450bNb6virC5MZ9fh0ZSPvL/Okj9WfNWaM/x49Mselbht7jPz0x14Z6xsreGOB5wfO+2UFjcS46tJkqj/stjX7zSzrncVefZ5/tokLf5b2H7fckMwai6a9un3NPq8ekUxt/+WadD/47W9FQ0TyfoA7gKktv8uAPrnSV1dXS6HMnClSUSGygL1lJTuIgDxXcrAIiOywg6wYc7RUVHh/D+ZpEZCV7CBL2FVA5AX2EwFZyBjxQsTgT0WFV55f+fm2DcrHb/vSUpFYrLA82+tTUSFy5pn+NlaUbEkt+AMXCIiUlfmnD9smrWlPv88SdhUBeYJJEot5dhXSB+bnOQ5Ija2TmJlug5LG1HgSkEF8GphHaWm2DWY/X8AfREBO5k4RkFG8VnCd+7E69eeKkktT7XlRyR9Sy3dkRSp9WVn2eLbb4z2+mqrfofHn5H/4eyqv8YmXsre/5JLU+j6szbBvBG9k1PEifpex/hO2k7/Fp8mbQ46Ul9XYVvX7Rfwu1SdP4/mBadwkm6iQP3J+wfktZjcRkKc4JCPvv/M/ebe1x91uLE5tv4EeOfeDQgAWivj71Hg+R66U6g1MBE5vcez1QH2ubVrD9OnetcMESTbTHYBuzS3SR/fuvLekkdotMJ657MAnAGymOwNZxTd5hDjeUTJOIxOYwxJ2ZzUD2YkVDOJz3mIEB/Ec/+JIamu98k4+GVi8GJTify8eQHXtEhawL6fyd3qwiSZi3M0UduIjJjKHl9mL1xnNBObyBIdzbO1MPjhnDayCD66AobWH8jYjUnXSz48HOJhn2IM3eZLDWEs/dua/vMTeHMVjPMLRgEql/Rrv0Y0tfMxgTmRWqm4AzZTwD47jEwYzhOV8m4dYTiUP820AjufeVPs8xlG8zy6A17YzZnhnfd/lbr7CF9zLCXzesB1lRv66rGPrZ1F+0+f8ULzlz3EQbzCKbtRyAM/zb74BwDd5hJ35Lw/zLZYxNNW2ZZLkpNq/E6OJOzmFvXmJUSzK6POPGcz9HJ81FnbmA3qykUWMzujXpibP/pEsYjPdqaWCytrlTJ8+jpNPEmb/9BGStUdBy7AexttM4ineZA+e5RDiNKbG1mQeZSCrAHipee/UeAIox4uKv8HjfJ13AXieA3idPSlpqOMQnuFxjkrZO7JhIasYyAoqSdASCdI7I6+9eIlP2Z4YTfRnDa9STSn1nMYddMe4FgO8yR6p36q5kenT4ZDaf7Jjc/rium6Xnmxgn/oXmf7LQzm58e+wcSOcdBL068eMn7/P12o38wajMuoea6zLGFM7JP/L++fMh4oh8O1vwyOPZEg2w3mbL+nDxwxmNK+ziR4AbMCLqA/gee7nO9RTxnZ8RpxGko0xPlwRY0camcjzvM1wBrIKhfAFX2E4bzOHAwDhJO6iH2u5h++yiq9ktFstFan2SZIgSYK9eYkRvMlbLe1UQhPf5J88zLcAxT4s4CN2oicbOYJ/s4TdM8aR/r2Z7ozgLc7jGt5mOE8zCUUzp/J3urOZuziJSpazsakn/236Kr35kmpeYS39Utv3Yy3jmM/evMRcJvAq1Z7dpo8pBkEeXH+A0cBLwO3Aa8DfgO4+6aYBC4GFQ4YMKexQIiJKpSOoVxktAvIGI7yFo0fLvzlMQGQTFbKQMSIgD3G0CEgjJbKIPURA3mZ3qaNMLuEyAZGb+aF8wFA5iZkZkYhSLQUffLDIpElyCZfLFhJyIM9mHBov5iqZw3gRkMXsJt/nbyIg+/FC1mH0nxwVeFT+ggEiIA/yLfl/XChr6CtH8qgIyAjeyEh7P8fKi+wl53G1b2a/5+cCItfxYxGQJpR0Y7MM5POMdHdyctbm2/Nx6s9lXCIg0osvU8v+wjmyIyuyynyKQwRETuEOEZDt+VhKSUojJSIgNzEtlVwpkUk8mdr2eO6Rj9nety79WZW1+G5OkFcZLSDyX6pEQJ5nQmr9y1TLfRwnf+Jn8gUDvL58/XURkCN4PJXuESaLgHzKIAGR/7CPzGG8rKVPRoF6vOnvr7NUoFnqSIdRz3GAgMiJ1IiA7MTyVBbv8VX5Kz8QEPkN06WREjmIZ0RAJjJbQORDKuVGzpDbOVUWs5uAyCE85dsmrzEq9fsqLpav844IpMa9gHyNdwVEfsQN0oSS8cxN5/GXv4iIyH0cJy9TLSCygh1T9Tuah2QqM7LqL0qJzG3JZ889U+sXMkbmsr9cwB+kgVjqjPZQnpT32VkE5A5OkRs5Qz6kUtbSR/7COfIPjpE3GS5JSuVXXCFPcYg8xSHyK66QJKWiaJJKPkyV8wuuTFXhKi6WJKXyFsNSfmAKd8kC9hYBeZQjU2kPbRlrY1go4EX013Cu3MPxIiBf0is1juYwXi7lUhGQh/lmquzV9BMQGcnrqWVncb28ymi5mxMERM7j6oy+fZXRUk9c3mKYCMg8xmV0ZcrHFCGiDqNRx4ExwI0isiewGbjYx+HPEJGxIjJ24MCBBR8whgzxvs2IOhVpVFTQvbyJEproTi19WQfA5VzKL7mSGM30wIu+u7GFBPX0ZCMAvdhATzbSiw0AqeW6PDZsgI0bGdxrA+UkU3kfxLM0UUIPNqXy7sGmVD7b8RkA5/WfCevWsTCxXyqdH3YefjZp9Hq9zUC+oA/r6MM61tI3Iy+AEoRubEn9P4v/401GZNkTi5GxTP+OWxG1Xv5D9Tf6sI5nOSi1zLS5nDpiNGfkpdt26MDMcnqwiRs4M1WPs7kOICuaNOtv2hajKWu9/h4yBK8frba02ylGExvoxXZ8lrLjMY6kN+uBdESdIEmcRhLU81um8wSH+dbfz94EyVTkp//72WzadQCzU/a8wP4pe3T9v76dV6Yem2Z79GIDJQjDB3yebsCWi/BfKc9sR7N+Znv24Uvvhwh83pLPunRZfVmXsj1OU8q+JAl2YymL2T1jXMdoopE4TSpOdzZTRkNG3XuxgTIaKKPedzya7dhELCOi3p95vMD+GWntPrH3nx5sStU3TiMxmmiihGN4kD6s4xrOyxor+rfZX73YQIzmVHttpjsxmny3BcPHFIEwjnolsFJEXmz5fz+e4y4qV17pXTNMkKQW76JHDzbTFCuF0lJ2qWqkbzdv0OuOaySeOsXUy/S33kESqd0m/b+iwisP8E7xkkkO2Ce9QwGsYiB1lGdta+54AN/6fn/o04fBu3SnW0nmFf7SUv1kRsnKo5RGurElw1aNaXMTJaxmAOvpw3r6sIVuGXnZ2wCspR+1VGSsr6iAadOgT3nmNqWlkCjJdNR6u7GH96ehog+b6JFVplmeuVy37SknZNu2nt6peqyjr2/d7bzNU9ZYDMrKMtunnCRX/lZSp+q9yrJtMvNqJE49iZQdm+iRGjOm9KG3+ZLM+leU+Ld9uVGW6aj1Kbxps23XKgam7NlM94yDV6KkkXOmZY57s110HqcdsyHdgC1tsWtVknKVrntqv4plSh89zINlywHPnBrbnc0ZdpuOupHS1FjTnziNlMRjVH01lrE/+tXfbwzpdvPyj6fyqKOcJuIZ/WFuF7TPx2hO9YOWPhqJ00yspd17k6Aecz818yknmRp3Zv1rqUgFSbb9GT6mCOR11CLyGfCRUmrXlkWHAIuLZ4LHySd7Gmq3kmRKA+ub2EysohzicQb1b+TGazIHbFm3eGqH0Msq8HQ83WjlLY3drWXAVm2XZMYMQztqcdS7Vnnrh/b1OqG+pZvsgaXz0ekO/oZX/vZVCXbZKUllpXe1uLISbrsN7rgDBvVrpARJ5WE7+96JJN27p9uiezxJv+5JBvbydvr+/RX9+7eY22JT//7QPZYeGNv1SXLK8cmU7c3xBD3iyZQtM2bADTfA5b9Mb9O/R5LbboPr/5KOrmI08ZVeXpozzk0wYwbEKrwyKyth4t7pdv3q4MxBrcs5+WQYv1fmTpegniQJlErXA2BQ7yRnnklGu1Vul3YwOhIqjzVyxx1w662es0yQpF+Fl+bkExpSzmnqKZ4d5hgopRFFM4lYI0OGxlNtCUBZgn4Jb+xIN68TvtIrnXeSBPWk668PQFXbpdu2R2mSvUZ6fZIgSR3l1KtyAHYc4NVP93uPeLpueiw1lnht0b8/NMYSqTEMcNihTRx2gJdO2wlpR92nJXgZNywdheu2GNQ7yVd6eXbHaKK5m7dfTTs9yVf6ph11n4RxY9n6lnyMm81sRz2wTDvqcvr3h6Z4IuXQtKOe9I04e+0bp28ivT/q/ad3wsvnazsmOfEYY5y0tIdS6XYkFqd3PB1RAxn9ceaZMLh/i109k/SsaCJOk1eWETh1V54d3cqaUo5al6Xz3b5fPcceaR2AVZIRX09y660wsGW/2KHCq7/2U7q/upVk7m9F06eBvBp1i/48Gk9/fgN4COibK31rZn2kqKgQ+Z//SYs8AwaIHHaYyL77inz6aXo5iCxdKvL3v2cu09+nnurld3DLzJFLL/W+Z8/OLG/IEJGddxY55RRv/eWXe9/Ll4tst53ID38osoN3tVzKykR+8Qvv92WXed/z5nn5HHecyLBh/nXauDEtXI0cKXLMMZl5PPRQZvqRI0X69RM55xyRPn0y1+22m8jxx3u/jzwyne+SJSILFni/H3tM5NBDRfbbL9uWFwxt/ZRTvGXLl6eXnXqq10Yg8swz3vqTT/baSCQ9G2DuXJH3309vN2lSZjk335xep+t51VXp9Y880iI4v5xtY3W1SK9e3u++fb10o0al1/fu7WmoR3vXKGTDBpF//MP7ff316XTDh6dtqK0V2X33dNtppk5Njxk97p56SmTlSu/3zTeLnH66yE47eemvuMJb/txz3v/mZu//QQd5/089VaSyUuTdd73ld94p0tDQIqYeKrL//t44EhGZ0aITf/RR2p7vfCdtD3hTbx57LHNsg8jChV7688/PbGMQ+clPvHWjR3vtJyLSs2e6ftddJ/KnP2WKqXZfmcuU8vaFM87I3EeWLPHyPuggkfHjRQ45JL3Nr37ltZvO57TTRKqqvM9pp3nLVqwQeda4JvSDH6TbQY+5ffdN5zF3rrfu+OO9/UBzww3e+nvvFdm82ft91FEiY8dm13GPPUR++lOvPTS6LdavF3nggfQ2558v0qOHl4+IyI9/nFl/00+B10ZtgLbM+mhx5q8DY4t4fAgmmfTOG7yCIZFIT5zXE829g4e3PJHIXKa/dVr9vXFj5n+zPPOdbPrUL5HwPnV16XX19bBlS3Y6/R00ed6+y8ouy88m/dH5a8xy7Hz1f2372rX5bYHsm4m0fbrs8vLsMs3y/Opg/rfbSufpt52dt9+NTMlkZjua6YNs0nfjxa0hn0ikx4w+rdFtr9cnEpllmd/6reP6v+4zXVczL213fb13g5HeRreF/q3t0fXX25vL7af9bTCkD78+ampK71f2LeRmvjofc5lI2nYzjTn2N2ZeZ0ndQq7z0dsrFTyGzJuDdDvG4+k8dDuZ/WFuZ+Zn2mvWR99Cbo4DXQ9zTJn/zTzN+pt+SqdvJ0I56g5D3zVk6gDl5elnBth3ecVimYPcxNw5IN24dh5Bjrq83PuYOxqk75Y00+nvoLvQ7EEVxib9setnlhOUr2l7Plsg++43Mx/I3DHMb7+8/P7bbaXz9NtOL6uv93YA+xZy7TRsBxjUJuZv/QwKE9MmPe7MHdZuyzDfehs7L9PO+vrsA6L9W9fbr43sZ5NsyNaoM8prbMysXxBmPiZmXloesce+Sk8xTd2ZaG+vVLgxVFfn5evnUO2xHTQOgtrNHge6HvY2dXXeHFu7j3X9e/TIzLstd7TmIVq3kOuKmo5aH1XtNxFDZkQdlJfduLmcopnOjKRMh6nXm+n0dz5HbeaXz6bGxpaJ5T4RtVk3v8jNjgJz2QLBjtqvbn47gl9Z5jq7rczfuWysr8++hVw/uSysozbL0c+gMDFtMiPOoLYM850rog5qPz97dH392sh+2p/pPM0y9It8GxuhW7fMtvBrh/Xr8SVoH9HftpMLctS52sCv70yHGrSv5Wpfv/a0x0HQPmQHUnb9bT+VTGaeiRSRruOoTelDk8tR26eofjKDSPp0SS/XnVBW5uW9ZUvms3d1Pq2RPvRbP3LZZNucT/owH/1oSx9BsoK2JUj6MPPxK9Muz8zLLEcpry/9pA/zdDPIxrq6bOnD79Q2l/Rhtk+Q9KExpQ+/ttTjxbbR/rYdtblOj3HTZv0MDtseyOwPkyDpw+wL87u52StHOxT7GRX2+LZpakpfYPQb+2Y9IS19aEwZwa8N7DGknayfQ7XHdtA4SCbT9TLrkUv6MO2x90+7rfWBXaf3e7t9kegajjoW84+oY7G2RdQ6OmtoyOyE0lLvpn3zqKo7vC0RtXbUYSJqbUu+iNp8olghEbX5qqh8EXV5ube8udk/evF77ZQZWfpF1ObpZpCNZuRnR5BhI2qzfZqasqUPP0dtOhPT6fqdBgdF1GVl2Xn52VxenikZ2FJXoRG12Rf6W0+10/uLeQDU2OPbj3xjP1dEXVtL6tZS7fBzjSF9wDPzyKdR+7Wv7ah1RO0Xqdv22Ptnroi6LU/2C0H0HbXWqfwGbDweXqP2c4rmb+2Q16/P1N70dvrJXfZgNdM2NGQ/u9csR7+ZOqyjNm3R2Ke25lPa9PIwGrX58tUwGrVdhvnb70Wu2gmZbViIRg3+zyM3o7FcjlrEk07M9vGLqP00ar+2DCrH77u83DvQl5Vlb2OeEfidmrdWozbHqW2Tbke9v/hF1Pb49sMc+7FYui31xWbTTjuiNvM1x33QGNLt6OdQdeCQ7+BdV5eul0bLQH4HANuefI7ajKjb8rTEEETLUetB3K1bOsowpQ8/Rx02ova7cGeePpmD0IwU9Ha6I3JJH5CeBeBnS+/eniPXEY6fTeYANG3R2BG1n6MOE1GbO0YY6cMuI4yj1nbkkj7s7bT+DP7PI9e2NTSkZ+D4OVDdD/kcdVjpQ5cdNqLW25q2+R1c8jnqfNKHPb579vSWmQ/I1+2o95dcjjpI+jDX2Wd6ftKHHVGb+Zrj3g5iNLptgqQPs+72wU8vM/cPTS7pQ9ehpCRTsksmM2WvDRu8g7ApWW1Tjtp0NLohTenDHrC5pI8wGrVfRG0OQj/pw3bU+hQ3jOYalEcum9qiUesBFmSL/h1G+rDLCKNR53LUQdPzzAOdnmED/q/KMqdcBmnGZvuElT78Dnp6eViNWm/rF0WbNvudMZnkkz5s5+EX3ep21PuLduQm+TRqc12QozbLDOOo7TFkR9RhHbXdpuAdnEQKkz50uyUSXjuaUxVN2UvX37StLa8JC0F0HbVuyHwRdS7pw4zO9E5tDwaNXr9xY6acoZfrI6aZLpFIR/5hNFe/PPLZ1BbpA7IjfL8oOMysD7uMMBG1tkPXM4z0Yf7PJX1AZvsFRbiFSB9lZd5609GFlT70dEI7ojbzqq3NnFccJqIOK33oseI3pdSUPrRNQRG1PR/axB77mvJy70xRn+FAtvRh5mv3m354tH22a/oBfd1Il2fW3W9M2vutJoz0UV7ulW3abOdt2maWs01F1Ob8yXzzqM0Bo6NbnZf5nFG7DPu3ie2gILvD7fVhNFe/PPLZFCR9aKfg56j1jBW//JLJ9KmdXqejq7Ky9EXbsrJM+ckuw3bU+kKRWY4Zjdp1CeOo9Sl7WVnudxoW4qhzRdRmxBkUUQeVA+m50fb84lw253LUZn+Yy8C/PcwzKb921Pcd6LYw9xe/sWmut/E76JrYEbUfZhv4zY02/UCuseM3JjVmvXR72uPA7l973Prlbc/x3qYctXnqbkfUfrM+9MwMjfk71w5il2fj56jtUyh7fRhH7ZdHPpuCHLWesWLP+jBnrPjZYw5EO6JOJNLTIIPq5rdT+F3xzueo43HPzjCOOpHIPtW3twlyoPasj1watanhFqpRm3YEadR+Nudy1GZ/2Ov9pKB8jtqsX1NTYeM717piOGpT0tPrTD/gd2CwZSe/tjbrpdsz1zxqe3qlaY/dD6az3yZnfdgatd88av3enqABY+pVJkF6sElbHHUYjboQm/x25IaG9Olsz57pPGx91M8enca8LVzv9Noh2g4kjEZtl+U34O26mDaY22lMR50rog6jUW/Z4h3Y8jlqOwoOq1GbdgRp1H4259Kozf6w7bUvrpq22mM/6GKiWXc9jkza4qht6cMPsw3MwAHSY7CQiNpvn7cddZhbyPX+Ydtq94PTqBPZ0oc9YE3tyj5FB+80NCj68vttYp66avxODe1nNATl2RbpI2hH1vpZRYXXBtq52Lb7Rax6x9DTCfVOr6c9mflA/oha7+R+p65+bWTmW0hEbV5zsLfJJ32Yp/8mpk3mPGO9fViN2lxv9oG9g9tpc0XUZn/Y6/0i6iCN2pY+9IVVs6xu3bKljqDrP/Y6v3RtkT60Mw2SPsJo1Bpzn0skvPHe0JD7FnK9f/jZam6zzUof5s6R72KibiQzqrYb15w1YJcBhUkfHaVRh5E+IPvhUX6n3X722JKEeZt2a6QPM/ooRPrQ/3M5an3WoLczH2RkbxPWURcqfZh6fz7pQx88O0L6KESjti8m+kXUfqf7HS196MDBDNhMP2CXF0b6sB21Tlds6WObctSmLugnffg5ap0Gso/sfpP3w0TUbZE+cjnqMBp1GOkDgp9JEtZRm841rPQR5Kj9ygrjqP1uyvGLBHX5QTMgcjlq3eZhHbUZkeoLqkEHKtveMHfs2TYXKn2YbWGXH+Sog6QPM4L2O91vb+nDL4I1bbfPrO3ywkTUpqRjjuNcz/rwawv9KAlzGyd9WI5aPy7Rnv6jCYqo/Rx1Z2rUfjpgPpvCOupCNWpzvZ/0EVQ3W6O28woqJ6guuTRqfUZknu779VkYjTpI+jBtsqUPv4NeLo066PkvuTTqXFFsPumjuTlz+qVu76amzJuF7HnUWvowo16/KDKX9FGMiNpvDJltbPsBuzzbUfu1dbdu2Xkkk5njQN+4Yva7XSd7fnmQo94mImq/Ux5TCzIHX9AzAEz8Ju+HkT7aQ6MuK0s/vawQm4IirqDHsRaiUev/ftJHWI3a1nDtcvS6khL/aLYQ6cPvwVx+dpnf3bt7YykoojbraUsfdlvmkz6CHn3bXtKHPUfebG9z7AfdQh6PZ+5nhUgf7aFRQ/b1AT/pw75ZKpf0YbaJGVCYtimVbhfz4qaJ7UtM22AblT7siwi6QUxHHfQMAJNiSh9t1aj9jtJhbGov6cNcn0/60L83b04/y6RQ6SORyHz4kF7W3tKHtqGQiDqoLevq0s6xWNJHPkedS/rwGyv2+IDshzKZjjpXRN1R0oc9hoopfZh5mwGF3zjws0dj+xI7ot6mHHWQ9JEvou4I6aN7d39HY/8OOs3N5ag7Q/owo5J80odOa7ZnodKHX93zTc8rhvRhO+pCNGrbdvNONT/pI8hRt3Z6Xj7pw+/Cs5+j1u1oz6M2H6xkjgk/W2yKKX2E0ahbK334jUFbo9brck3Pyyd9mNNk24HoOWp9I4Q96wMybykO46jzSR+FOOp8EUdHR9TFmvXhJ30ERdT2W0QKjaht8kXUftJHayNq8/TftkFj3mLt15am88slfZjbtWV6ntkf9vp8EXWQ9KFtsqWPKEXU5kE216yPQiPqfI660IjanCJsvpShHYieo9YNZM+jhmDpoyM06nwRRz6N2p5THNamjtCobekjSKP2c9R+GrWe72yu86t7PkdtzqOG4CfJmTuonhdu6pzl5YVLH34addDrrjTtoVHbdc51dhGkUdvzqPWT4OxHlRbiqDtKo841j7quLj0v2szPttP2D37SR2s0arPt9AyabcJRmztHa6SP9tKo9YCOUkRdzOl5YWd92BFlUEStd5x8EXV7TM+z/+eTPkxnFSR96FkB+SLqQjTqTZs8h1mo9KEfEdAajdocw5s3Z2vUHS19mAf7fNJHvovbfv91Wts/hImo8/kS07ZEwusTfeNZOxAtR23uHH7Sx+bN6UdR5pI+dBr7TQzdu2frwbqRzXR2fkH5+w3WsBp1LpuCyjD/F3N6Xr6LifoU2WzPXBq1rQ/71UMvC9Kou3fPjqi1czJfLGHaYr6hJaxGbeZvarhmG+i51Hb9dVn2eDPrrKfK2Tb7vfXG/m/2h95eH1jM2SDmWLHHh9mOfo7aT/rwG3v6Ifm5xr653pQ+9LLS0nT7B40h21Hnkz7M/cUeB3a97DFtoseiHXwE+RI/2/yuuRSJ6DrqoFkfer5iLunDfrau/h/0uh97O/uU1/6202l7/R4ypOtln07ZNtmvnNcXJ6IwPU+vM9szl/Rhyw5+9dB5BkXUvXoFSx/mnHb9LGzzvZbaNqU855BL+jBtM+cZ221QXp5df12WPd5sx7BhQ7bNfs/o1jZoG/VTA806a+dqSh/meLTHR8+e2bM+wFsWJH3o/PTpfDye1mD1Oj8pwlxvRtTmNmYZQdJHvnnU2m4zrX5nYW1tZlv7SR86DxPtZO39I8iX+EX7fuO5SETfUZtakOmoc0XUYR21ffS0B2HQt99g1VFXLulDnx7ZNolk3mlm7hhBEVdbLyb6SR/aUftpp36OKkj6sGUHv3roPIMcdY8ewRcTKyrSZ0G9eqVnY9iOOpFI90vYiNpP+tBpwjpqP207yFH7HcDKy9PzzhsavCmBZoBi36nr5wg3bPDSVlRkz6MG/4jaDkT0c3RyBTNm+5nrC3HUQdKHrQObmGPeLMNua/MRAPkianOWkS6vR490vnb97YPINuOozSjGHED5IuogR2q+8BP838vmN0Bb46j1/1yO2txGz7u051/aAzfIUefTqPXTBYMctblj5JM+9Dr7BaptddRBEbV9AdB21HbEY/ez30ErV0St0+mIU7/my3bUdv31RVN7vNl1Xr8+03n07Bksfehl2tHpu3HtiDqfo9bv27TrHhRRm9vqMaltMKNSvc6027wV3dw/dVub9pn7mp/UEEb60P/9HLXZ1vYjAHJF1Gb/mvZ065bd90G26bOxdiBajjpI+tC/GxszB5FGb2MPJt24WkbQD7g3o1dzp7cHYdC332DV/3Np1H556G/z7ipzQId11LZGrQeoaY/5BhKdzpxHrZfZT1bT68wXqNbXp52ZmZf5HcZR59LQ9UVJ3RbmQcTsa/sFxH56va5jGI0a/F83ZZajZ5fU1XlRl1K5HbU5ZsrLwztqbbftPM3ZIGbeZpm6LLPu5kEv6IYXuyy/dabdfmeKZt56G3tf0xdUbUedT/rQ/01Hbe7zQfuxLVXa+fk5av3bHmN+tvmdIRaJ6Dpqv1vIwd9R207NfFGnfRTX5UC2Rm0OqFzfdjrTjlwatbmNKX3ksimfRq3rV1vr7by2rmrao++q89Oo7Vu8c2nU5mubysvTkVlrNGr9CiuNfSDR6SDzyX5mn9l2Ben14O+obY0avDyDNGq/csz28ZM+9DMntO1BGrVeZs9D1mX6SR/meDTLtNvRlD70f7+LiXZU7LfOb1ya84n9HHVQv5n7aJhbyPU6U6M29/mga012W9j5mf1nO2q7703bnEZN5ikGFCZ91Nb6R8ymQ/Fz5Pki6mJIH6YcY9sURvrYsiXz1M6MQoLsMU8pTY3afkCPX7n6YGDabsoDZlmFaNSQ+cwK+wKlua2OqHX76FeK2fJAkF4PwdKHUl5+ulw/6SNXOWb72OXqvLTdZtogjdrujzAXE832tse+rrv9Px5PT/mzA5Gw0of+b5YXRvow28AMHMzxU6hGvWWLd7AoLQ3ef7V9dn66f007dd3tvveLqLcZR51vHjXkvphoDya9Lp+jDjqtC/rONVjDOGr9tugwNtll6Nklfnb5/Q5y1HZEnc9Rm//9nvHbGkdt2mDaaEeCuq3MC53mx7Yrl6MOkj5y3aps//Yrxy+tvczP5qB2sfvDdp5+EbVf3nbd7f/mMnt8h5U+7PqZ2wbZF7SPBjnqoH3NbgM/W2z/oO2z8/OzJ2iM+dmmo/x2IFqO2k/6sB21Plrmm0dtvvXFjphNLVUfzZUKP486V0QdRqM2O9/PJtPmXA4ujKO2n7+hl2uHrzVq+1Q7l6O2X29kl1WIRm2m17+DnJkpfZjRqW1X0JxyKI6jtsuxI1et19oHG9Nuv3zNZXZ/+M36MKem6e3svG3nZLeFGWXbYzKX9BHkqE0ZSdtvTjXV2+nZFLbduk319rkuJtrT8zS6nFz7SWsddb6LidtERB1G+tCDIdc8alsbtY/iftKHn56qpycVW6P2O5UMkj6CTo39vv1++0XU5nZB0keQNm7a7JeXXU4ujdqUX0wbw0ofttMLo1EHzaP2e4lq0G+/iNosSwcJdh38Di5hpQ8zyrWlDz+NWv8320ffQm7+N3XrMNJHrvn9Znmm/abj1L/NR/7q+sZi2X0XJH3o8RYUUfuNPbst7Pzsuti/zXK0zXb+nemolVLLlFJvKqVeV0otbA9Damrgs+V13FqTYMAAuOu+OA3EqfpqjGuuTw/YX1yeYNXGBA8+GqeqCs46Cy69yuuA087wGuznv07wZZ237M33Elw7w/t97q+9Rh61exKlYNHLSR76d4JHn06wbkuCC3/tpXvs6YSuOI3xBI8/m0ApuPkOb/kPL/DymXJaInXBXyl4+oUE855Lpv4r1TKTqjbJ9X9NUFNDVkT9nyVeXgeOS1JVBe+9lWTewgQz7/fWx8pLUQoGDPA+SsGn67x176/0yr/wV+kBqNtPKXj5zQSPPZi2Z/gu3iA64dQEJSWwtjbBtX9KcsN1jXyxLs75F6Xb+diTEhn1+OdT6TJ+cH7mTlFTA++uSHDvTK+sE77tlTO8OsHXhnvb/eEvCaqqvH42twU4YN9kSiJ++vEkLyxMcNusdHlzXvL69YhJjSx7N8kd9ySY+3KCZZ8l+O2f0unO+oVn18nHJ5n3bJJn5nllvv1+diRVU5Nuz/v+mWDdpjgDBsANt6TTXv77dFs++K/08vMu8cp5/MEk61cluXZGgjfe9dZvSCZSdfzXs+ltbrw1wTvLE7zydoLb7kovnzTZS19TA1VVXhvMeSnBpmScVxal+2NqS5v/+oo4Sz+Is/y/jSx6KZnRH5MmJyjplp4q9/yLCe68L13WRdPj7D0h/X/GrXHmzI/zwcdePc//ZeZ+8tOfx1n2cZwnnvf2kYZYgl9f5fXFMVPS9aypgbfeT/D2Bwn+cpOXx+57xLnst579F0xPsKE+wWPPJHjkyQTrkwl+cXnajlOmeuVvbkrw598luf7PSdZtSXDWWTD1R14e3/tRImPsfLo2wcvzkpx4nNcGuu8BrrkxwX8/STD/VW8MX/Z7r6wzfpJ2uNMvjWeMxzffTdsz5bQEd/3D+1/zjwTzXvF+N1HCmRd4Z93fOTlBzSwfCbKdpA+f88BADhKR1e1hRE0NTJsGy5uSbKGcNWuglhhJEixfDg8sj/GTlrRJEiRJ0ESM5cvhxhvhh3gNtXqT911HgjpJpNLr359s9k5byvEaM0EylZfOF+DiSxN8OcQr76iGBOsaWvJtyedL8fJZtTGB8fQRkiToy7qMuqnmRuI08cWGBBdNg4O+mmAHw1Fff0cvxgEJ6li+HNaQZBO9PbtJ0CxedLZmTWY5+nvzZlhDepA99kyCNUY6XVez3kkS3kw9Y30TMdZvTkcZSSNP+/8G0qeZd/0jwff+Ay81pfMyy1m3Jd0ny5d7/Qxw8skw96UEE4A1n3jpRbxtzb4A+NN1CSYCcRpTfWZ+NKvq0/2boI719GL5cnj44wTDdaJYjJoa+N73jGf5tIyBNWs8h3xWS9K1tQnW1GbXX4+j311ax5PNmfZukQTTpsG8efDKbQm+0bLNl3UJalvSrU+m8/rw0wTf+553MNDXVNfXJfisLsZd98Sobkm3vqXNm4hR3xRj6UuNLH65jhGUUEtFqmyhhHpKKaMhq31uuSNGhfG/rjFGXcvYX7MmPY50/ZqIpfaN9bWe/Z+u9dIs+yxdzzvugKfrEyRabAD48KMYM++OcRnp/bG2KT1uN9Yb/bbRG7NJEpRKknLq2NKc4MYb4Ui8MfnRqkRq7AD0eTvB9rKaBMmMvtdtXWfUXe+3K1ely2xs8R+6DoMeT7BHy7rlnyc4fWqc71LChmQiY3/T9Vv+eYJpZyhOLIlRYp79tlNEXYijbjemT/cuAOudEKCBUuooT/3W1FHOFrplLNuCdxqlB2wd5altdXqA9bREQhxJPWV8hS94kX2I0ZSRbkNDOdOne3kfTLdUXlvoRiMxNtEjlbdJHeWMYhGfsH1qmUJS62pr4a33u7HDzuWpU7/P6/sAcDdTqKOcAazmcY5ki1GujVk32w7790TmpOwpoz5ru1O4E4DVDMhqZ78yIdNRPzW3nAbx1h/OE3zC9lRQm9rGtrG21uvvk0+G2+8uZwIwmwNTZQ9gNU9yWEZ5m5q9trqTU+jN+lRfmfkDfInXllfzUyqo5RGOBmBjY6ZOO3165uvvzPGUqy01ehw91HgU3ajLqmdtLcyYATs3ZW7vZ3Md5Rm2mPZsaUr3h65bA6U0UMo3eJxJ8mTGuDVtKKMhq6xG4ln/zf1M57OOvhllmbabZel6NjV52woqtV7nbdddUL5toL9/wC0ohE9bxqyZhx47AH+UckbyBn/hvIz2scsz66W/tX1Aqg4/acruE7u//Opfr0op7wDpI6yjFuBJpZQAN4vIDDuBUmoaMA1gyJAhBRmxYoX3fRvfYx77A3AjZ/I8BwDwGnvyRy6gnDoe4Wg+YQc+YYfU9o8ymQv4I7M5kJ9wNQ9yDLVUMIG5/JNvsphhrGAI89mPP3E+PUk/AP42vkcjcR7gWOYwkR5sYgVDUC02ncu1vMcuANzK91nKbszmQH7BVbzE3hn1+AvnsZoBWfVrJM79fAeAy7f8nMN+vxbGjOHsn5byPAfw//g5ffgylf5uprCKgcxnP9/2uozLOIjn+DdHAPAUk/gL59JEjBcYn0r3Ry7kA76ase0meqTy/TW/YQJzAZjPfjzB4VzLOTRQyovsk7Hd//FjNtOdJezOfPbjf/kZpTTwuHg2XMUvOYrHUuk/ZXs+ZjCgOIObUrZCur//sWoiI/hJyrFr7uUEVjGQBElWsiNzmcDvuYi+rENQ3Mr36c5merOeJexOFcvYSE9mcyC/4jfsxEcA3MVJANzDd9mJlZx1cS/YdddU+WbdnmISAAsZmxprjzI5leZGzqSOct7l68xj/9Q4aiJGDSezgH1ZzCOp9m9qgvf5Gr9lOv1YyyxOZD770UiczxlEb9bzOYNa2iiT/+V8BvE5r7Enu7OELXRjDhM5kxt4lMl8wFc5nCcAeJ3RPMUkLuZ3vMaeAFzIHxnDq9zNFL6kD3EaWcEQ1tMHEH7FbxjMx9zO6fRmPT3wbp3+F9/g5/w/nuMgzuUvPMCxfMxgPmcQdZTzNIfyJIdxIX/gHXZN1RPgN/yaOI28z9f4mME0EWcFQ/gZ/8tDfJt19GUZVQA8zLeYz35cyznUU5baj37JVYzjPwDMZQIAc5jIL7gqNR51313LuaylHwAfM5jnOIjfcTG92MC9nMAiRqUCqns5gSZiqXHUk408wLGp9m5qgvv5DlUsYxM9eIsRAPyIm3iFanbgEz5iJxYyNtVGb7eco50hN3PH1BY/cOCB0KdPVn8WBRHJ+wEGt3x/BVgETMyVvrq6WgqhslLEO/GNzqeysn3sqqyMdr0L/cRirW+Djqx/R7d7a9qlK346up7tsV+2pQ7muGorwEIRf58a6mKiiHzc8v0F8CBYoWQbufLK9FMUo0BZmWdTse2qqPDy1ESt3oVSVuZpfKWl+dNqzDYIU/8wLwoppExdbiE2B9llPuLCLm/atPB9W1qanZffMrv8trZLWym0nsUoT++Xbe0/M0+/OpSW5m9fe1y1K0EeXH+A7kBP4/d84Ihc2xQaUYuIzJzpHZ2UEunf3/so5S0780zvvz6KlZSkj2Znnum/nf5tHjH79xfp3j33EbJ/f88W2y4zn0LyM2018/Wrd666mvVRKr2+e/fcbRVkj5mHWfd82/u108yZwdvY9tltYLavbZMuI1f+fmWZfZSr3e08df3t8WTbZtpljw2zvKAxbY9vMy+/ZbnK9xsr2hZ7G7tvzb7Jt+/Y+5pfPXOlt/cVv7LDlufXf3Z+ZllB/iKor8z2t8dIvv25LZAjolbe+mCUUjvjRdHgadp3iUjO48jYsWNl4cJ2mcXncDgcWyVKqVdEZKzfurwXE0Xkv8CoolvlcDgcjlBE685Eh8PhcGThHLXD4XBEHOeoHQ6HI+I4R+1wOBwRxzlqh8PhiDjOUTscDkfEcY7a4XA4Io5z1A6HwxFxnKN2OByOiOMctcPhcEQc56gdDocj4jhH7XA4HBHHOWqHw+GIOM5ROxwOR8RxjtrhcDgijnPUDofDEXGco3Y4HI6I4xy1w+FwRBznqB0OhyPiOEftcDgcEcc5aofD4Yg4zlE7HA5HxHGO2uFwOCKOc9QOh8MRcZyjdjgcjojjHLXD4XBEHOeoHQ6HI+I4R+1wOBwRxzlqh8PhiDjOUTscDkfECe2olVIxpdRrSqlH29MgTU0NVFVBSYn3XVOzdZUXVRs6iq5YV9PmAQO8Tz77W1vP1mynt1EK4nHvu6u0bWfSJcaiiIT6AD8D7gIezZe2urpa2sLMmSIVFSKQ/lRUeMvbg44uL6o2dBRdsa5+Nuezv7X1bM12ueyLett2JlEai8BCCfK/QSsyEsGOwDPAwR3hqCsr/QdcZWWbso1MeVG1oaPoinUNsjmX/a2tZ2u2y2dflNu2M4nSWMzlqJW3PjdKqfuB3wE9gQtEZLJPmmnANIAhQ4ZUL1++vNVRfkmJ11zZZUBzc6uzjUx5UbWho+iKdQ2y2cS2v7X1bM12+eyLctt2JlEai0qpV0RkrN+6vBq1Umoy8IWIvJIrnYjMEJGxIjJ24MCBrTTVY8iQwpa3lY4uL6o2dBRdsa5hbLPTtLaerdmutXlu63SVsRjmYuL+wNFKqWXA3cDBSqmZ7WnUlVdCRUXmsooKb/nWUF5UbegoumJd/Ww28bO/tfVszXa57It623YmXWYsBmkifh/gQDpAoxbxxPzKShGlvO/2Fvc7uryo2tBRdMW6mjb37+998tnf2nq2Zju9DYjEYmmttSu0bWcSlbFIWzVqjVLqQAI0apOxY8fKwoULW33wcDgcjm2NXBp1vJCMRGQ2MLsINjkcDocjJO7ORIfD4Yg4zlE7HA5HxHGO2uFwOCKOc9QOh8MRcZyjdjgcjojjHLXD4XBEHOeoHQ6HI+I4R+1wOBwRxzlqh8PhiDjOUTscDkfEcY7a4XA4Io5z1A6HwxFxnKN2OByOiOMctcPhcEQc56gdDocj4jhH7XA4HBHHOWqHw+GIOM5ROxwOR8RxjtrhcDgijnPUDofDEXGco3Y4HI6I4xy1w+FwRBznqB0OhyPiOEftcDgcEcc5aofD4Yg4zlE7HA5HxHGO2uFwOCKOc9QOh8MRcZyjdjgcjojjHLXD4XBEHOeoHQ6HI+LkddRKqXKl1EtKqUVKqbeVUpd3hGGOaFNTA1VVUFLifdfUdLZFwXQlW8PSlevUlW3vNEQk5wdQQI+W36XAi8C+ubaprq4Wx9bLzJkiFRUikP5UVHjLo0ZXsjUsXblOXdn29gZYKAE+VXnrw6GUqgBeAM4UkReD0o0dO1YWLlzYhsOHI8pUVcHy5dnLKyth2bKOtiY3XcnWsHTlOnVl29sbpdQrIjLWd10YR62UigGvAF8D/k9ELvJJMw2YBjBkyJDq5X694dgqKCnxYiEbpaC5uePtyUVXsjUsXblOXdn29iaXow51MVFEmkRkNLAjsLdSaoRPmhkiMlZExg4cOLBNBjuizZAhhS3vTLqSrWHpynXqyrZ3JgXN+hCRL4HngCPaxRpHl+DKK6GiInNZRYW3PGp0JVvD0pXr1JVt71SCxGv9AQYCfVp+dwPmApNzbeMuJm79zJwpUlkpopT3HeWLQV3J1rB05Tp1ZdvbE9pyMVEpNRK4A4jhReD3isgVubZxFxMdDoejMHJp1PF8G4vIG8CeRbfK4XA4HKFwdyY6HA5HxHGO2uFwOCKOc9QOh8MRcZyjdjgcjohT0C3koTNVahXQ2lsTBwCri2hO1HD169q4+nV9olrHShHxvVuwXRx1W1BKLQyaorI14OrXtXH16/p0xTo66cPhcDgijnPUDofDEXGi6KhndLYB7YyrX9fG1a/r0+XqGDmN2uFwOByZRDGidjgcDoeBc9QOh8MRcSLjqJVSRyil3lFKva+Uuriz7SkGSqllSqk3lVKvK6UWtizrp5R6Sin1Xst33862sxCUUrcqpb5QSr1lLPOtk/K4tqVP31BKjek8y8MRUL/LlFIft/Tj60qpI411v2ip3ztKqcM7x+rwKKV2Uko9p5Ra3PKy6vNalm8VfZijfl27D4Oef9qRH7xHqH4A7AyUAYuAYZ1tVxHqtQwYYC37A3Bxy++Lgf/X2XYWWKeJwBjgrXx1Ao4E/oX3guR9gRc72/5W1u8y4AKftMNaxmoCGNoyhmOdXYc89dseGNPyuyfwbks9too+zFG/Lt2HUYmo9wbeF5H/ikg9cDfwrU62qb34Ft7zvWn5/nbnmVI4IjIHWGstDqrTt4C/i8cCoI9SavsOMbSVBNQviG8Bd4tIUkQ+BN7HG8uRRUQ+FZFXW35vBJYAg9lK+jBH/YLoEn0YFUc9GPjI+L+S3I3bVRDgSaXUKy0v/wUYJCKftvz+DBjUOaYVlaA6bU39enbLqf+thlzVpeunlKrCe9b8i2yFfWjVD7pwH0bFUW+tjBeRMcA3gB8rpSaaK8U799qq5kdujXUCbgS+CowGPgX+t1OtKQJKqR7AP4CfiMgGc93W0Ic+9evSfRgVR/0xsJPxf8eWZV0aEfm45fsL4EG8U6rP9aljy/cXnWdh0Qiq01bRryLyuYg0iUgz8FfSp8Zdsn5KqVI8J1YjIg+0LN5q+tCvfl29D6PiqF8GdlFKDVVKlQFTgEc62aY2oZTqrpTqqX8DhwFv4dXrtJZkpwEPd46FRSWoTo8Ap7bMHNgXWG+cXncZLE32GLx+BK9+U5RSCaXUUGAX4KWOtq8QlFIKuAVYIiJ/NlZtFX0YVL8u34edfTXTuPp6JN4V2g+A6Z1tTxHqszPe1eRFwNu6TkB/4BngPeBpoF9n21pgvWbhnTo24Ol5PwiqE95Mgf9r6dM3gbGdbX8r63dni/1v4O3Y2xvpp7fU7x3gG51tf4j6jceTNd4AXm/5HLm19GGO+nXpPnS3kDscDkfEiYr04XA4HI4AnKN2OByOiOMctcPhcEQc56gdDocj4jhH7XA4HBHHOWqHw+GIOM5ROxwOR8T5/yDEan4Ga1N/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(y_test,'o',color = 'blue',label = 'Actual Values')\n",
    "plt.plot(y_pred2,color = 'red',label = 'Predicted values')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "manual-azerbaijan",
   "metadata": {
    "id": "pTnXHs_jsuA6",
    "papermill": {
     "duration": 0.039704,
     "end_time": "2021-06-27T18:36:09.219322",
     "exception": false,
     "start_time": "2021-06-27T18:36:09.179618",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>• Attempt through Classification</strong></p>\n",
    "\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "incomplete-container",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:09.303099Z",
     "iopub.status.busy": "2021-06-27T18:36:09.302094Z",
     "iopub.status.idle": "2021-06-27T18:36:09.311907Z",
     "shell.execute_reply": "2021-06-27T18:36:09.312384Z",
     "shell.execute_reply.started": "2021-06-13T11:47:04.022811Z"
    },
    "id": "YINu7-eVbrei",
    "papermill": {
     "duration": 0.052971,
     "end_time": "2021-06-27T18:36:09.312562",
     "exception": false,
     "start_time": "2021-06-27T18:36:09.259591",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    577\n",
       "6    535\n",
       "7    167\n",
       "4     53\n",
       "8     17\n",
       "3     10\n",
       "Name: quality, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "twelve-consciousness",
   "metadata": {
    "id": "HLiwR2wFalOT",
    "papermill": {
     "duration": 0.039283,
     "end_time": "2021-06-27T18:36:09.391644",
     "exception": false,
     "start_time": "2021-06-27T18:36:09.352361",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<p style = \"font-size : 27px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>Quality range:0-10</strong></p>\n",
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>Dividing Quality range into two parts,</strong></p>\n",
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>1.  Good quality:7-10</strong></p>\n",
    "<p style = \"font-size : 25px; color : #800000 ; font-family : 'Comic Sans MS';  \"><strong>2.  Bad  quality:0-6</strong></p>\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "seven-workstation",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:09.476332Z",
     "iopub.status.busy": "2021-06-27T18:36:09.475630Z",
     "iopub.status.idle": "2021-06-27T18:36:09.498443Z",
     "shell.execute_reply": "2021-06-27T18:36:09.497895Z",
     "shell.execute_reply.started": "2021-06-13T11:47:04.033726Z"
    },
    "id": "9yeuOH4wswYC",
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1175\n",
       "1     184\n",
       "Name: quality, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#If quality value is less than or eqaul to 6 then it will be in class 0\n",
    "#If quality value is greater than 6  then it will be in class 1\n",
    "train_data['quality'] = np.where(train_data['quality'] > 6, 1, 0)\n",
    "train_data['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "identified-treatment",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:09.584700Z",
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     "start_time": "2021-06-27T18:36:09.538367",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Assigning dataframe to list of array values\n",
    "X = train_data.drop(['quality'], axis = 1).values\n",
    "y = train_data['quality'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "driven-header",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:09.671000Z",
     "iopub.status.busy": "2021-06-27T18:36:09.670008Z",
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     "shell.execute_reply.started": "2021-06-13T11:47:04.056904Z"
    },
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     "start_time": "2021-06-27T18:36:09.627410",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Splitting the data in the proportion of 70:30 and 86:14\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,\n",
    "                                                   stratify = y,\n",
    "                                                   test_size = 0.3,\n",
    "                                                   random_state = 1111)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "increasing-lying",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-27T18:36:09.767120Z",
     "iopub.status.busy": "2021-06-27T18:36:09.766424Z",
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     "shell.execute_reply.started": "2021-06-13T11:47:04.077032Z"
    },
    "id": "JvIlLZIYaYA3",
    "outputId": "2991964b-aa63-4951-b878-75c73e0913ed",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Accuracy Score 0.8872549019607843 Best K-Score 41\n"
     ]
    }
   ],
   "source": [
    "k = range(1,50,2)\n",
    "testing_accuracy = []\n",
    "training_accuracy = []\n",
    "score = 0\n",
    "#Fitting the model\n",
    "for i in k:\n",
    "    knn = KNeighborsClassifier(n_neighbors = i)\n",
    "    pipe_knn = Pipeline([('scale', MinMaxScaler()), ('knn', knn)])\n",
    "    pipe_knn.fit(X_train, y_train)\n",
    "    \n",
    "    y_pred_train = pipe_knn.predict(X_train)\n",
    "    training_accuracy.append(accuracy_score(y_train, y_pred_train))\n",
    "    \n",
    "    y_pred_test = pipe_knn.predict(X_test)\n",
    "    acc_score = accuracy_score(y_test,y_pred_test)\n",
    "    testing_accuracy.append(acc_score)\n",
    "    \n",
    "    if score < acc_score:\n",
    "        score = acc_score\n",
    "        best_k = i\n",
    "        \n",
    "print('Best Accuracy Score', score, 'Best K-Score', best_k)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "declared-reservation",
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   "source": [
    "![giphy.gif](https://media.giphy.com/media/2eK59YqprmQB0GtKHw/giphy.gif)"
   ]
  }
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