{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KNN: An Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import common packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import & observe the raw dataset\n",
    "\n",
    "dataset source: https://www.kaggle.com/rubenssjr/brasilian-houses-to-rent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>area</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bathroom</th>\n",
       "      <th>parking spaces</th>\n",
       "      <th>floor</th>\n",
       "      <th>animal</th>\n",
       "      <th>furniture</th>\n",
       "      <th>hoa (R$)</th>\n",
       "      <th>rent amount (R$)</th>\n",
       "      <th>property tax (R$)</th>\n",
       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>acept</td>\n",
       "      <td>furnished</td>\n",
       "      <td>2065</td>\n",
       "      <td>3300</td>\n",
       "      <td>211</td>\n",
       "      <td>42</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>320</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1200</td>\n",
       "      <td>4960</td>\n",
       "      <td>1750</td>\n",
       "      <td>63</td>\n",
       "      <td>7973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>1000</td>\n",
       "      <td>2800</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>3841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Porto Alegre</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>270</td>\n",
       "      <td>1112</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>not acept</td>\n",
       "      <td>not furnished</td>\n",
       "      <td>0</td>\n",
       "      <td>800</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>836</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           city  area  rooms  bathroom  parking spaces floor     animal  \\\n",
       "0     São Paulo    70      2         1               1     7      acept   \n",
       "1     São Paulo   320      4         4               0    20      acept   \n",
       "2  Porto Alegre    80      1         1               1     6      acept   \n",
       "3  Porto Alegre    51      2         1               0     2      acept   \n",
       "4     São Paulo    25      1         1               0     1  not acept   \n",
       "\n",
       "       furniture  hoa (R$)  rent amount (R$)  property tax (R$)  \\\n",
       "0      furnished      2065              3300                211   \n",
       "1  not furnished      1200              4960               1750   \n",
       "2  not furnished      1000              2800                  0   \n",
       "3  not furnished       270              1112                 22   \n",
       "4  not furnished         0               800                 25   \n",
       "\n",
       "   fire insurance (R$)  total (R$)  \n",
       "0                   42        5618  \n",
       "1                   63        7973  \n",
       "2                   41        3841  \n",
       "3                   17        1421  \n",
       "4                   11         836  "
      ]
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    },
    {
     "data": {
      "text/plain": [
       "Index(['city', 'area', 'rooms', 'bathroom', 'parking spaces', 'floor',\n",
       "       'animal', 'furniture', 'hoa (R$)', 'rent amount (R$)',\n",
       "       'property tax (R$)', 'fire insurance (R$)', 'total (R$)'],\n",
       "      dtype='object')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(10692, 13)"
      ]
     },
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    },
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       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</th>\n",
       "      <th></th>\n",
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       "      <th>Belo Horizonte</th>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
       "      <td>11.765806</td>\n",
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       "      <th>Campinas</th>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "      <td>7.977927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Porto Alegre</th>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "      <td>11.157875</td>\n",
       "    </tr>\n",
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       "      <th>Rio de Janeiro</th>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "      <td>14.038533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>São Paulo</th>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "      <td>55.059858</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                     area      rooms   bathroom  parking spaces      floor  \\\n",
       "city                                                                         \n",
       "Belo Horizonte  11.765806  11.765806  11.765806       11.765806  11.765806   \n",
       "Campinas         7.977927   7.977927   7.977927        7.977927   7.977927   \n",
       "Porto Alegre    11.157875  11.157875  11.157875       11.157875  11.157875   \n",
       "Rio de Janeiro  14.038533  14.038533  14.038533       14.038533  14.038533   \n",
       "São Paulo       55.059858  55.059858  55.059858       55.059858  55.059858   \n",
       "\n",
       "                   animal  furniture   hoa (R$)  rent amount (R$)  \\\n",
       "city                                                                \n",
       "Belo Horizonte  11.765806  11.765806  11.765806         11.765806   \n",
       "Campinas         7.977927   7.977927   7.977927          7.977927   \n",
       "Porto Alegre    11.157875  11.157875  11.157875         11.157875   \n",
       "Rio de Janeiro  14.038533  14.038533  14.038533         14.038533   \n",
       "São Paulo       55.059858  55.059858  55.059858         55.059858   \n",
       "\n",
       "                property tax (R$)  fire insurance (R$)  total (R$)  \n",
       "city                                                                \n",
       "Belo Horizonte          11.765806            11.765806   11.765806  \n",
       "Campinas                 7.977927             7.977927    7.977927  \n",
       "Porto Alegre            11.157875            11.157875   11.157875  \n",
       "Rio de Janeiro          14.038533            14.038533   14.038533  \n",
       "São Paulo               55.059858            55.059858   55.059858  "
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       "      <th>area</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bathroom</th>\n",
       "      <th>parking spaces</th>\n",
       "      <th>floor</th>\n",
       "      <th>animal</th>\n",
       "      <th>furniture</th>\n",
       "      <th>hoa (R$)</th>\n",
       "      <th>rent amount (R$)</th>\n",
       "      <th>property tax (R$)</th>\n",
       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
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       "      <th>city</th>\n",
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       "      <th>Belo Horizonte</th>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
       "      <td>1258</td>\n",
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       "    <tr>\n",
       "      <th>Campinas</th>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
       "      <td>853</td>\n",
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       "      <th>Porto Alegre</th>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "      <td>1193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rio de Janeiro</th>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "      <td>1501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>São Paulo</th>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
       "      <td>5887</td>\n",
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      ],
      "text/plain": [
       "                area  rooms  bathroom  parking spaces  floor  animal  \\\n",
       "city                                                                   \n",
       "Belo Horizonte  1258   1258      1258            1258   1258    1258   \n",
       "Campinas         853    853       853             853    853     853   \n",
       "Porto Alegre    1193   1193      1193            1193   1193    1193   \n",
       "Rio de Janeiro  1501   1501      1501            1501   1501    1501   \n",
       "São Paulo       5887   5887      5887            5887   5887    5887   \n",
       "\n",
       "                furniture  hoa (R$)  rent amount (R$)  property tax (R$)  \\\n",
       "city                                                                       \n",
       "Belo Horizonte       1258      1258              1258               1258   \n",
       "Campinas              853       853               853                853   \n",
       "Porto Alegre         1193      1193              1193               1193   \n",
       "Rio de Janeiro       1501      1501              1501               1501   \n",
       "São Paulo            5887      5887              5887               5887   \n",
       "\n",
       "                fire insurance (R$)  total (R$)  \n",
       "city                                             \n",
       "Belo Horizonte                 1258        1258  \n",
       "Campinas                        853         853  \n",
       "Porto Alegre                   1193        1193  \n",
       "Rio de Janeiro                 1501        1501  \n",
       "São Paulo                      5887        5887  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(pd.read_csv('sample_data/houses_to_rent_v2.csv'))\n",
    "display(df.head())\n",
    "display(df.columns)\n",
    "display(df.shape)\n",
    "\n",
    "# Observe the proportion of each class in the dataset\n",
    "display(100 * (df.groupby('city').count() / int(len(df.city))))\n",
    "\n",
    "# Observe the count for each class in the dataset\n",
    "display(df.groupby('city').count()) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wrangle the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hp-nunes/anaconda3/envs/TEST/lib/python3.7/site-packages/pandas/core/ops/array_ops.py:253: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  res_values = method(rvalues)\n"
     ]
    }
   ],
   "source": [
    "# Assign a unique integer for each label (city)\n",
    "df.city = pd.factorize(df['city'])[0] \n",
    "\n",
    "# Convert boolean strings to 1 and 0\n",
    "df.animal = pd.Series(np.where(df.animal == 'acept', 1, 0))\n",
    "df.furniture = pd.Series(np.where(df.furniture == 'furnished', 1, 0))\n",
    "\n",
    "# Fix inconsistency in column and convert the field to a numeric type\n",
    "df.floor = df[df.floor == '-'] = 0\n",
    "df.floor = pd.to_numeric(df.floor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split our dataset between attributes and labels.\n",
    "\n",
    "X = df.iloc[:, 1:-1].values # Excludes 'city' & 'total(R$)'\n",
    "y = df.iloc[:, 0].values # Includes 'city' only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>area</th>\n",
       "      <th>rooms</th>\n",
       "      <th>bathroom</th>\n",
       "      <th>parking spaces</th>\n",
       "      <th>floor</th>\n",
       "      <th>animal</th>\n",
       "      <th>furniture</th>\n",
       "      <th>hoa (R$)</th>\n",
       "      <th>rent amount (R$)</th>\n",
       "      <th>property tax (R$)</th>\n",
       "      <th>fire insurance (R$)</th>\n",
       "      <th>total (R$)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>3300</td>\n",
       "      <td>211</td>\n",
       "      <td>42</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>320</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1200</td>\n",
       "      <td>4960</td>\n",
       "      <td>1750</td>\n",
       "      <td>63</td>\n",
       "      <td>7973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1000</td>\n",
       "      <td>2800</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>3841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>270</td>\n",
       "      <td>1112</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>800</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>836</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   city  area  rooms  bathroom  parking spaces  floor  animal  furniture  \\\n",
       "0     0    70      2         1               1      0       1          1   \n",
       "1     0   320      4         4               0      0       1          0   \n",
       "2     1    80      1         1               1      0       1          0   \n",
       "3     1    51      2         1               0      0       1          0   \n",
       "4     0    25      1         1               0      0       0          0   \n",
       "\n",
       "   hoa (R$)  rent amount (R$)  property tax (R$)  fire insurance (R$)  \\\n",
       "0      2065              3300                211                   42   \n",
       "1      1200              4960               1750                   63   \n",
       "2      1000              2800                  0                   41   \n",
       "3       270              1112                 22                   17   \n",
       "4         0               800                 25                   11   \n",
       "\n",
       "   total (R$)  \n",
       "0        5618  \n",
       "1        7973  \n",
       "2        3841  \n",
       "3        1421  \n",
       "4         836  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "city                   int64\n",
       "area                   int64\n",
       "rooms                  int64\n",
       "bathroom               int64\n",
       "parking spaces         int64\n",
       "floor                  int64\n",
       "animal                 int64\n",
       "furniture              int64\n",
       "hoa (R$)               int64\n",
       "rent amount (R$)       int64\n",
       "property tax (R$)      int64\n",
       "fire insurance (R$)    int64\n",
       "total (R$)             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display(df.head())\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scaling the dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaler = StandardScaler() # Scale and transform before splitting into training/testing\n",
    "\n",
    "X = scaler.fit_transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split the dataset into training and testing sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8553, 11) (2139, 11)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# The test size is set to 20% of the whole dataset\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0,test_size=0.20)\n",
    "\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6161757830762038\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn import metrics\n",
    "\n",
    "# Create an instance\n",
    "knn = KNeighborsClassifier(n_neighbors=6)\n",
    "\n",
    "# Train the algorithm\n",
    "model=knn.fit(X_train, y_train)\n",
    "\n",
    "# Predict the classes on the testing set\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# Get the accuracy score on the testing set\n",
    "print(metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Look at the classification report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.68      0.87      0.76      1198\n",
      "           1       0.55      0.41      0.47       238\n",
      "           2       0.45      0.28      0.35       299\n",
      "           3       0.38      0.25      0.30       159\n",
      "           4       0.40      0.20      0.27       245\n",
      "\n",
      "    accuracy                           0.62      2139\n",
      "   macro avg       0.49      0.40      0.43      2139\n",
      "weighted avg       0.58      0.62      0.58      2139\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test, y_pred)) # Precision should be large, but recall should be \"smaller\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the model over a range of K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "#Choose how many neighbors to test\n",
    "k_range = range(1,300)\n",
    "\n",
    "#Create a list to store scores\n",
    "scores=[]\n",
    "error = []\n",
    "\n",
    "#Run the KNN\n",
    "for k in k_range:\n",
    "    knn = KNeighborsClassifier(n_neighbors=k)\n",
    "    knn.fit(X_train, y_train)\n",
    "    y_pred = knn.predict(X_test)\n",
    "    scores.append(metrics.accuracy_score(y_test, y_pred)) # Append the accuracy score\n",
    "    error.append(np.mean(y_pred != y_test)) # Append the error rate\n",
    "\n",
    "#Print the scores\n",
    "print(scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the Accuracy result over instances of K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3600x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(50,20))\n",
    "\n",
    "plt.plot(k_range, scores)\n",
    "plt.axis([1,25,min(scores),1])\n",
    "plt.xticks(k_range)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.xlabel('Value of K',fontsize=35)\n",
    "plt.ylabel('Test accuracy',fontsize=35)\n",
    "plt.xlim(0, 300, 10)\n",
    "plt.ylim(0.56, .63)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the error rate over instances of K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Mean Error')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(range(1, 300), error, color='red', linestyle='dashed', marker='o',\n",
    "         markerfacecolor='blue', markersize=10)\n",
    "plt.title('Error Rate K Value')\n",
    "plt.xlabel('K Value')\n",
    "plt.ylabel('Mean Error')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suggestion: Test for Class Imbalance\n",
    "\n",
    "Compare the model's performance between one single label for the predominating class (i.e. city = 'Sao Paulo') versus all other classes minus the majority class."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Boilerplate wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/hp-nunes/anaconda3/envs/TEST/lib/python3.7/site-packages/pandas/core/ops/array_ops.py:253: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  res_values = method(rvalues)\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(pd.read_csv('sample_data/houses_to_rent_v2.csv'))\n",
    "\n",
    "df.animal = pd.Series(np.where(df.animal == 'acept', 1, 0))\n",
    "df.furniture = pd.Series(np.where(df.furniture == 'furnished', 1, 0))\n",
    "df.floor = df[df.floor == '-'] = 0\n",
    "df.floor = pd.to_numeric(df.floor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.city = pd.Series(np.where(df.city == 'São Paulo',1,0))\n",
    "\n",
    "# # split our dataset into its attributes and labels.\n",
    "X = df.iloc[:, 1:-1].values # Excludes 'city'\n",
    "y = df.iloc[:, 0].values # Includes 'city' only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler # Scale and transform before splitting into training/testing\n",
    "\n",
    "scaler = StandardScaler()\n",
    "X = scaler.fit_transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test on Majority class label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8553, 11) (2139, 11)\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0,test_size=0.20)\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.68630201028518\n"
     ]
    }
   ],
   "source": [
    "#Create an instance\n",
    "knn = KNeighborsClassifier(n_neighbors=6)\n",
    "#Train the algorithm\n",
    "model=knn.fit(X_train, y_train)\n",
    "y_pred = model.predict(X_test)\n",
    "print(metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "#Choose how many neighbors to test\n",
    "k_range = range(1,300)\n",
    "\n",
    "#Create a list to store scores\n",
    "scores=[]\n",
    "error = []\n",
    "\n",
    "#Run the KNN\n",
    "for k in k_range:\n",
    "    knn = KNeighborsClassifier(n_neighbors=k)\n",
    "    knn.fit(X_train, y_train)\n",
    "    y_pred = knn.predict(X_test)\n",
    "    scores.append(metrics.accuracy_score(y_test, y_pred)) # Append the accuracy score\n",
    "    error.append(np.mean(y_pred != y_test)) # Append the error rate\n",
    "\n",
    "#Print the scores\n",
    "print(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[479 462]\n",
      " [233 965]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.67      0.51      0.58       941\n",
      "           1       0.68      0.81      0.74      1198\n",
      "\n",
      "    accuracy                           0.68      2139\n",
      "   macro avg       0.67      0.66      0.66      2139\n",
      "weighted avg       0.67      0.68      0.67      2139\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "print(classification_report(y_test, y_pred)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 3600x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(50,20))\n",
    "\n",
    "plt.plot(k_range, scores)\n",
    "plt.axis([1,25,min(scores),1])\n",
    "plt.xticks(k_range)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.xlabel('Value of K',fontsize=35)\n",
    "plt.ylabel('Test accuracy',fontsize=35)\n",
    "plt.xlim(0, 300, 10)\n",
    "plt.ylim(0.64, .72)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Mean Error')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(range(1, 300), error, color='red', linestyle='dashed', marker='o',\n",
    "         markerfacecolor='blue', markersize=10)\n",
    "plt.title('Error Rate K Value')\n",
    "plt.xlabel('K Value')\n",
    "plt.ylabel('Mean Error')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Further Reading\n",
    "\n",
    "* [K-Nearest Neighbors Algorithm in Python and Scikit-Learn](https://stackabuse.com/k-nearest-neighbors-algorithm-in-python-and-scikit-learn/)\n",
    "* [KNN visualization in just 13 lines of code](https://towardsdatascience.com/knn-visualization-in-just-13-lines-of-code-32820d72c6b6)\n",
    "* [A Gentle Introduction to k-fold Cross-Validation](https://machinelearningmastery.com/k-fold-cross-validation/)\n",
    "* [Class Imbalance Problem](http://www.chioka.in/class-imbalance-problem/#:~:text=What%20is%20the%20Class%20Imbalance,class%20of%20data%20(negative).)\n",
    "* [Classification Report](https://www.scikit-yb.org/en/latest/api/classifier/classification_report.html)\n",
    "* [Precision vs Recall](https://towardsdatascience.com/precision-vs-recall-386cf9f89488#:~:text=Precision%20and%20recall%20are%20two,correctly%20classified%20by%20your%20algorithm)\n",
    "* [How do I interpret the given classification report?](https://datascience.stackexchange.com/questions/57192/how-do-i-interpret-the-given-classification-report)\n",
    "* [How to interpret classification report of scikit-learn?](https://datascience.stackexchange.com/questions/64441/how-to-interpret-classification-report-of-scikit-learn)"
   ]
  }
 ],
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