05-OutlierDetection_Local-Outlier-Factor-(LOF).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unsupervised Outlier Detection using Local Outlier Factor (LOF)\n",
    "#(It is unsupervised because there is no label indicating whether a data point is outlier or not)\n",
    "# It finds a patterin in data itself\n",
    "# this method really didin't work well in this selected dataset. I've added it here just for the sake of sample code!\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from sklearn.neighbors import LocalOutlierFactor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('datasets/diabetes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 9)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,10))\n",
    "plt.scatter(df['DiabetesPedigreeFunction'],\n",
    "            df['Age'],\n",
    "            color='black',\n",
    "            s=100)\n",
    "\n",
    "ax.set(xlabel='Glucose', ylabel='Insulin', title='Blood pressure and BMI')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "#contamination: The proportion of outlier exist in the dataset\n",
    "lof = LocalOutlierFactor(n_neighbors=20, contamination=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "154"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = lof.fit_predict(X)\n",
    "n_outlier = (y_pred == -1).sum()\n",
    "n_outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "b= np.array([1])\n",
    "y_pred = np.concatenate((y_pred, b), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "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"
    }
   ],
   "source": [
    "colors = np.array(['r','b'])\n",
    "\n",
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "plt.title(\"some title\", size=18)\n",
    "\n",
    "plt.scatter(df['DiabetesPedigreeFunction'],\n",
    "            df['Age'],\n",
    "            color=colors[(y_pred+1) // 2 ],\n",
    "            s=100)\n",
    "\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.06670781, -1.01138465, -1.07964805, -0.9796959 , -1.16949099,\n",
       "       -0.95585323, -1.08886398, -0.95415053, -1.24064769, -1.62500847,\n",
       "       -1.08836512, -1.02100052, -1.03460783, -2.59693313, -1.05225335,\n",
       "       -0.95068654, -1.0650121 , -0.97556351, -1.48152884, -0.9854594 ,\n",
       "       -1.05772178, -1.06603366, -1.11533188, -1.01212675, -1.03873847,\n",
       "       -0.97845408, -1.00173256, -1.08075878, -1.15013764, -1.04965503,\n",
       "       -1.11453072, -1.04146486, -0.96755424, -1.22420753, -1.05515025,\n",
       "       -1.01331736, -0.98616232, -1.04483754, -1.06090736, -1.07268205,\n",
       "       -1.46663597, -0.98894451, -1.11723374, -1.15611734, -1.01548414,\n",
       "       -1.15752613, -1.15472164, -1.15196752, -1.01337874, -1.0149516 ,\n",
       "       -1.06816638, -1.09869437, -1.17019585, -0.9984802 , -1.04953709,\n",
       "       -1.19361118, -1.00510327, -1.34115776, -1.02680957, -1.03281017,\n",
       "       -1.09153033, -0.97867772, -1.50676374, -1.0464823 , -0.97187452,\n",
       "       -0.967607  , -1.04034565, -1.16789606, -1.01029332, -1.13788116,\n",
       "       -0.9733461 , -0.99508214, -1.09554374, -1.05751697, -1.05802164,\n",
       "       -2.40099351, -1.24878377, -0.99995025, -0.99701762, -0.97471728,\n",
       "       -1.31334148, -1.17543809, -1.04420566, -0.9636974 , -1.42264265,\n",
       "       -0.98809658, -1.27222738, -0.96649765, -1.02020792, -0.96796397,\n",
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       "       -1.02466681, -0.99047786, -0.99351888, -0.97941671, -0.98297527,\n",
       "       -0.98253123, -1.13621716, -1.12613739, -0.98735676, -1.0514858 ,\n",
       "       -0.97890717, -1.04988495, -1.70503337, -0.99499583, -1.09337665,\n",
       "       -1.03912672, -0.96782595, -1.10061969, -1.10087248, -0.98641033,\n",
       "       -1.11467769, -1.13317077, -0.98848083, -1.34395875, -1.24953046,\n",
       "       -0.99330669, -1.04193585, -1.11661188, -0.98205073, -1.08555186,\n",
       "       -1.02340653, -1.01392302, -1.03985446, -1.08509493, -1.04516105,\n",
       "       -1.01820981, -1.05704697, -0.98001476, -0.99125527, -1.04725571,\n",
       "       -1.00789658, -1.22861084, -1.13996778, -1.01624438, -0.96653366,\n",
       "       -1.06624086, -1.23166229, -1.15232858, -1.04061529, -1.0189902 ,\n",
       "       -1.35406043, -1.15246189, -1.07744168, -0.99989541, -2.18170559,\n",
       "       -1.14173307, -0.9860614 , -1.08054495, -1.03036272, -1.35604762,\n",
       "       -1.0189703 , -1.0347391 , -0.98081546, -1.06449208, -1.10128899,\n",
       "       -1.09613385, -1.05078755, -0.99322859, -1.11687397, -1.03621964,\n",
       "       -1.16350443, -1.33134722, -1.58757331, -1.01925416, -1.1842657 ,\n",
       "       -1.1866136 , -0.99442934, -1.03861545, -1.034611  , -1.51275069,\n",
       "       -1.10301144, -1.00214341, -0.99550233, -1.02026395, -0.98925371,\n",
       "       -1.01564254, -1.06212854, -1.01142423, -1.0193983 , -1.00873474,\n",
       "       -0.97971672, -1.13057792, -1.25700061, -1.08711903, -0.95533961,\n",
       "       -1.00084733, -1.00890184, -1.06913158, -1.03496229, -0.97276544,\n",
       "       -1.13667859, -1.00152331, -1.0042037 , -0.9897211 , -0.98782558,\n",
       "       -0.96583851, -1.00812472, -1.00413582, -0.98347723, -1.03498672,\n",
       "       -0.98087311, -1.01267873, -0.97268057, -0.99433738, -1.00388681,\n",
       "       -1.07693512, -0.98891811, -1.0162636 , -0.987959  , -1.0072637 ,\n",
       "       -1.1307015 , -1.05072713, -1.16233493, -1.00219594, -0.97167126,\n",
       "       -1.01816013, -0.97796804, -1.07248445, -1.04226345, -1.00417539,\n",
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       "       -1.04016761, -1.24663393, -1.1622153 , -1.01030956, -1.07831333,\n",
       "       -1.03668563, -1.12506562, -1.03212971, -1.06291743, -1.10218732,\n",
       "       -1.03921112, -1.00653126, -1.5719354 , -1.17702486, -1.28463908,\n",
       "       -1.0985071 , -1.04660228, -1.04265062, -1.13728684, -1.29494394,\n",
       "       -1.34607928, -1.05436668, -1.04594346, -0.98055119, -1.47916223,\n",
       "       -0.98942611, -1.07434953, -1.10245549, -0.97112825, -1.06348909,\n",
       "       -0.99703894, -1.46436968, -1.0023654 , -1.04645058, -1.0206828 ,\n",
       "       -1.13845939, -1.07187308, -0.97539396, -1.09284293, -1.09580149,\n",
       "       -0.96858845, -1.06556636, -1.09215371, -0.98973005, -0.99048234,\n",
       "       -1.06525285, -0.96692309, -1.0543769 , -0.99116986, -1.04212977,\n",
       "       -1.14863185, -1.30448244, -1.1291044 , -1.01651082, -0.98478908,\n",
       "       -1.20911835, -1.0541124 , -1.16090112, -0.99649268, -1.05242378,\n",
       "       -1.10475467, -0.97399159, -1.01043879, -1.05694869, -1.09347816,\n",
       "       -1.02126872, -0.98464862, -1.17764953, -1.13017072, -1.06578775,\n",
       "       -1.11765144, -1.05189653, -1.14596998, -1.00302067, -1.06062552,\n",
       "       -1.00127222, -0.9954652 , -1.19293338, -1.04230953, -1.01585336,\n",
       "       -1.05019715, -1.05507045, -1.0015718 , -1.04096955, -1.02133366,\n",
       "       -1.17057375, -1.12605556, -1.10827303, -1.10881335, -1.06415972,\n",
       "       -1.00546388, -1.08190088, -0.97248261, -1.18319771, -1.02800515,\n",
       "       -1.05658945, -1.09344166, -1.01675015, -1.02352978, -1.18861735,\n",
       "       -1.18191533, -1.05021112, -1.03090855, -1.24973638, -1.04656402,\n",
       "       -0.97676073, -1.08012494])"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_score = lof.negative_outlier_factor_\n",
    "X_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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