url_phishing_explained_with_RandomForest.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# URL phishing detection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Phishing, by definition, is the act of defrauding an online user in order to obtain personal information by posing as a trustworthy institution or entity. Users usually have a hard time differentiating between legitimate and malicious sites because they are made to look exactly the same. Therefore, there is a need to create better tools to combat attackers.\n",
    "\n",
    "Phishing attacks can be launched from anywhere in the\n",
    "world by people with little to no technical skills at insignificant\n",
    "costs. Organizations trying to protect their users from these\n",
    "attacks have a hard time dealing with massive amount of\n",
    "emerging sites which must be identified and labeled either as\n",
    "malicious or harmless before users access them.\n",
    "\n",
    "Being able to determine the maliciousness of a website by\n",
    "just looking at its URL provides a major strategic advantage,\n",
    "since the number of victims can be reduced to nearly zero\n",
    "while minimizing operational efforts by avoiding massive use\n",
    "of more complex methods such content analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Data\n",
    "\n",
    "To evaluate create a  phishing classifier, lets use a corpus of one\n",
    "million phishing URLs extracted from Phishtank and one\n",
    "million harmless URLs from the CommonCrawl. (Actually a small sample here)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv('phishing.csv', index_col=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>phishing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://www.subalipack.com/contact/images/sampl...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://fasc.maximecapellot-gypsyjazz-ensemble....</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://theotheragency.com/confirmer/confirmer-...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://aaalandscaping.com/components/com_smart...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://paypal.com.confirm-key-21107316126168.s...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  phishing\n",
       "0  http://www.subalipack.com/contact/images/sampl...         1\n",
       "1  http://fasc.maximecapellot-gypsyjazz-ensemble....         1\n",
       "2  http://theotheragency.com/confirmer/confirmer-...         1\n",
       "3  http://aaalandscaping.com/components/com_smart...         1\n",
       "4  http://paypal.com.confirm-key-21107316126168.s...         1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>phishing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39995</th>\n",
       "      <td>http://www.diaperswappers.com/forum/member.php...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39996</th>\n",
       "      <td>http://posting.bohemian.com/northbay/Tools/Ema...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39997</th>\n",
       "      <td>http://www.tripadvisor.jp/Hotel_Review-g303832...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39998</th>\n",
       "      <td>http://www.baylor.edu/content/services/downloa...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39999</th>\n",
       "      <td>http://www.phinfever.com/forums/viewtopic.php?...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     url  phishing\n",
       "39995  http://www.diaperswappers.com/forum/member.php...         0\n",
       "39996  http://posting.bohemian.com/northbay/Tools/Ema...         0\n",
       "39997  http://www.tripadvisor.jp/Hotel_Review-g303832...         0\n",
       "39998  http://www.baylor.edu/content/services/downloa...         0\n",
       "39999  http://www.phinfever.com/forums/viewtopic.php?...         0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    20000\n",
       "0    20000\n",
       "Name: phishing, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.phishing.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Creating features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['http://dothan.com.co/gold/austspark/index.htm\\n',\n",
       " 'http://78.142.63.63/%7Enetsysco/process/fc1d9c7ea4773b7ff90925c2902cb5f2\\n',\n",
       " 'http://verify95.5gbfree.com/coverme2010/\\n',\n",
       " 'http://www.racom.com/uploads/productscat/bookmark/ii.php?.rand=13vqcr8bp0gud&cbcxt=mai&email=abuse@tradinghouse.ca\\n',\n",
       " 'http://www.cleanenergytci.com/components/update.logon.l3an7lofamerica/2342343234532534546347677898765432876543345687656543876/\\n',\n",
       " 'http://209.148.89.163/-/santander.co.uk/weblegn/AccountLogin.php\\n',\n",
       " 'http://senevi.com/confirmation/\\n',\n",
       " 'http://www.hellenkeller.cl/tmp/new/noticias/Modulo_de_Atualizacao_Bradesco/index2.php?id=PSO1AM04L3Q6PSBNVJ82QUCO0L5GBSY2KM2U9BYUEO14HCRDVZEMTRB3DGJO9HPT4ROC4M8HA8LRJD5FCJ27AD0NTSC3A3VDUJQX6XFG519OED4RW6Y8J8VC19EAAAO5UF21CHGHIP7W4AO1GM8ZU4BUBQ6L2UQVARVM\\n',\n",
       " 'http://internet-sicherheit.co/de/konflikt/src%3Dde/AZ00276ZZ75/we%3Dhs_0_2/sicherheit/konto_verifizieren/verifizierung.php\\n',\n",
       " 'http://alen.co/docs/cleaner\\n']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.url[data.phishing==1].sample(10, random_state=1).tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contain any of the following:\n",
    "* https\n",
    "* login\n",
    "* .php\n",
    "* .html\n",
    "* @\n",
    "* sign\n",
    "* ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keywords = ['https', 'login', '.php', '.html', '@', 'sign']\n",
    "for keyword in keywords:\n",
    "    data['keyword_' + keyword] = data.url.str.contains(keyword).astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Length of the url\n",
    "* Length of domain\n",
    "* is IP?\n",
    "* Number of .com"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['length'] = data.url.str.len() - 2\n",
    "domain = data.url.str.split('/', expand=True).iloc[:, 2]\n",
    "data['length_domain'] = domain.str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                    www.subalipack.com\n",
       "1             fasc.maximecapellot-gypsyjazz-ensemble.nl\n",
       "2                                    theotheragency.com\n",
       "3                                    aaalandscaping.com\n",
       "4     paypal.com.confirm-key-21107316126168.securepp...\n",
       "5                              lcthomasdeiriarte.edu.co\n",
       "6                                       livetoshare.org\n",
       "7                                            www.i-m.co\n",
       "8                                     manuelfernando.co\n",
       "9                                www.bladesmithnews.com\n",
       "10                                      www.rasbaek.com\n",
       "11                                      199.231.190.160\n",
       "Name: 2, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "domain.head(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['isIP'] = (domain.str.replace('.', '') * 1).str.isnumeric().astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['count_com'] = data.url.str.count('com')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>phishing</th>\n",
       "      <th>keyword_https</th>\n",
       "      <th>keyword_login</th>\n",
       "      <th>keyword_.php</th>\n",
       "      <th>keyword_.html</th>\n",
       "      <th>keyword_@</th>\n",
       "      <th>keyword_sign</th>\n",
       "      <th>length</th>\n",
       "      <th>length_domain</th>\n",
       "      <th>isIP</th>\n",
       "      <th>count_com</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28607</th>\n",
       "      <td>http://pennstatehershey.org/web/ibd/home/event...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3689</th>\n",
       "      <td>http://guiadesanborja.com/multiprinter/muestra...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>81</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6405</th>\n",
       "      <td>http://paranaibaweb.com/faleconosco/accounting...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35355</th>\n",
       "      <td>http://courts.delaware.gov/Jury%20Services/Hel...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16520</th>\n",
       "      <td>http://erpa.co/tmp/getproductrequest.htm\\n</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>0</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16196</th>\n",
       "      <td>http://pulapulapipoca.com/components/com_media...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3810</th>\n",
       "      <td>http://www.dag.or.kr/zboard/icon/visa/img/Atua...</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>0</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3005</th>\n",
       "      <td>http://www.amazingdressup.com/wp-content/theme...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9003</th>\n",
       "      <td>http://web.indosuksesfutures.com/content_file/...</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>0</td>\n",
       "      <td>80</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34704</th>\n",
       "      <td>http://www.nutritionaltree.com/subcat.aspx?cid...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     url  phishing  \\\n",
       "28607  http://pennstatehershey.org/web/ibd/home/event...         0   \n",
       "3689   http://guiadesanborja.com/multiprinter/muestra...         1   \n",
       "6405   http://paranaibaweb.com/faleconosco/accounting...         1   \n",
       "35355  http://courts.delaware.gov/Jury%20Services/Hel...         0   \n",
       "16520         http://erpa.co/tmp/getproductrequest.htm\\n         1   \n",
       "16196  http://pulapulapipoca.com/components/com_media...         1   \n",
       "3810   http://www.dag.or.kr/zboard/icon/visa/img/Atua...         1   \n",
       "3005   http://www.amazingdressup.com/wp-content/theme...         1   \n",
       "9003   http://web.indosuksesfutures.com/content_file/...         1   \n",
       "34704  http://www.nutritionaltree.com/subcat.aspx?cid...         0   \n",
       "\n",
       "       keyword_https  keyword_login  keyword_.php  keyword_.html  keyword_@  \\\n",
       "28607              0              0             0              0          0   \n",
       "3689               0              1             1              0          0   \n",
       "6405               0              0             0              1          0   \n",
       "35355              0              0             0              0          0   \n",
       "16520              0              0             0              0          0   \n",
       "16196              0              1             1              0          0   \n",
       "3810               0              0             0              0          0   \n",
       "3005               0              0             0              1          0   \n",
       "9003               0              0             0              0          0   \n",
       "34704              0              0             0              0          0   \n",
       "\n",
       "       keyword_sign  length  length_domain  isIP  count_com  \n",
       "28607             0      80             20     0          0  \n",
       "3689              0      81             18     0          1  \n",
       "6405              0      65             16     0          1  \n",
       "35355             0      94             19     0          0  \n",
       "16520             0      39              7     0          0  \n",
       "16196             0     239             18     0          4  \n",
       "3810              0      62             13     0          0  \n",
       "3005              0      94             22     0          1  \n",
       "9003              0      80             25     0          1  \n",
       "34704             0      69             23     0          1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(10, random_state=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = data.drop(['url', 'phishing'], axis=1)\n",
    "y = data.phishing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import cross_val_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clf = RandomForestClassifier(n_jobs=-1, n_estimators=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.809  ,  0.808  ,  0.8085 ,  0.79075,  0.80225,  0.81425,\n",
       "        0.80325,  0.805  ,  0.80275,  0.7905 ])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cross_val_score(clf, X, y, cv=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_split=1e-07, min_samples_leaf=1,\n",
       "            min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "            n_estimators=100, n_jobs=-1, oob_score=False,\n",
       "            random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature Importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "importances = clf.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in clf.estimators_],axis=0)\n",
    "indices = np.argsort(importances)[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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111+xc+dO5ObmwtzcHHXq1MG3334r6SYMCgpCTEwMTp8+jejoaFSqVAnW1taYOnUqhg8f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\nzzE9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9c2a588f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X.shape[1]), importances[indices], yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X.shape[1]), X.columns.values[indices], rotation='90')\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Feature importance is an interesting tool to evaluate in a general way which features are more important during training. But it does not gives any insight regarding the feature importance of a given individual prediction."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explaining individual predictions using LIME"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First install lime using\n",
    "\n",
    "```pip install lime```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import lime\n",
    "import lime.lime_tabular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/al/anaconda3/lib/python3.5/site-packages/sklearn/utils/validation.py:429: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, _DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "explainer = lime.lime_tabular.LimeTabularExplainer(X.values ,feature_names = X.columns.values,class_names=['ham','phish'],\n",
    "                                                   categorical_features=[0, 1, 2, 3, 4, 5, 8], kernel_width=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Function to explain a single instance using LIME"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def explain_instance(X_test):\n",
    "    if X_test.phishing.values == 1:\n",
    "        print(\"Phishing URL\")\n",
    "    else:\n",
    "        print(\"Legitimate URL\")\n",
    "    print(X_test.url.values[0])\n",
    "    y_pred_proba = clf.predict_proba(X_test.drop(['url', 'phishing'], axis=1))\n",
    "    print(\"Predicted Probabilites: \", y_pred_proba[0])\n",
    "\n",
    "    # Explain prediction\n",
    "    predict_fn = lambda x: clf.predict_proba(x).astype(float)\n",
    "    exp = explainer.explain_instance(X_test.drop(['url', 'phishing'], axis=1).values[0], predict_fn, num_features=5)\n",
    "\n",
    "    # Organize explinations\n",
    "    temp = pd.DataFrame(exp.as_list())\n",
    "    vals = temp.iloc[:, 1].tolist()\n",
    "    features = temp.iloc[:, 0].tolist()\n",
    "    loc = np.arange(temp.shape[0])[::-1]\n",
    "\n",
    "    # Plot\n",
    "    print()\n",
    "    print(\"Feature importances:\")\n",
    "    fig, ax = plt.subplots(figsize=(6,4))\n",
    "    # Plot positive impact features\n",
    "    plt.barh(loc, [max(val, 0) for val in vals], height=0.5, color='r')\n",
    "    # Plot negative impact features\n",
    "    plt.barh(loc, [min(val, 0) for val in vals], height=0.5)\n",
    "\n",
    "    # Plot to fix range\n",
    "    plt.barh([0, 0], [-np.abs(vals).max()*1.2, np.abs(vals).max()*1.2], alpha=0)\n",
    "\n",
    "\n",
    "    # Add labels\n",
    "    for label, x, y in zip(features, np.zeros(loc.shape[0]), loc):\n",
    "        if vals[features.index(label)] > 0:\n",
    "            plt.annotate(label, xy = (x, y), xytext = (5, 27),\n",
    "                         textcoords = 'offset points', ha = 'left', va = 'top')\n",
    "        else:\n",
    "            plt.annotate(label, xy = (x, y), xytext = (-5, 27),\n",
    "                         textcoords = 'offset points', ha = 'right', va = 'top')\n",
    "    plt.yticks([])      \n",
    "    plt.xticks([0], [''])\n",
    "    plt.annotate('HAM', xy = (np.min(vals)*0.5, max(loc)+1.05), xytext = (0, 0),\n",
    "                 textcoords = 'offset points', ha = 'right', va = 'top')\n",
    "    plt.title('      HAM                   Phish                ', y=1.13)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test with a random phishing URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Phishing URL\n",
      "http://login.paypal.com.convexcentral.com/Update/ab770f624342b07b71e56c1bae5d9bcb/\n",
      "\n",
      "Predicted Probabilites:  [ 0.  1.]\n",
      "\n",
      "Feature importances:\n"
     ]
    },
    {
     "data": {
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//vorcHml06lTJ5577jkyMzPp0aMHI0eONMYGBweTmJiIi4uL8Q9v3759jfbp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\n4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9c2822f860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explain_instance(data.query('phishing == 1').sample(1, random_state=7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test with a random legitimate URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Legitimate URL\n",
      "http://www.redeyechicago.com/entertainment/tv/redeye-banshee-ivana-milicevic-interview-20140120-story.html\n",
      "\n",
      "Predicted Probabilites:  [ 0.97166667  0.02833333]\n",
      "\n",
      "Feature importances:\n"
     ]
    },
    {
     "data": {
      "image/png": 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pbGwsgwcPZvz48YSGhvLRRx+xaNEi0yXQh+3pp5+mX79+bN26lR07djzUsefP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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9c2824f710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explain_instance(data.query('phishing == 0').sample(1, random_state=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With LIME we can actually understand how the classifier is making predictions without having to see the millions of parameters that the model has. In the first example, we’re looking at phishing URL’s from Phishtank, and see why the classifier is assigning both a very high probability of phish. On the other hand, we look at a ham URL, we see that the URL does not contain suspicious words, the length of the subdomain is short and it is not an IP. These indicators are the ones that the classifer uses in order to give this URL a low phishing probability.\n",
    "\n",
    "\n",
    "This method presents a very compelling paradigm for producing example-based explanations of complex classifiers which can truly be useful in building trust in specific predictions and in selecting and tuning models without deep ML expertise. I have worked on several projects in the past which eschewed advanced ML algorithms due to the need for explainability. The type of technique explored here point towards a path where we can utilize the power of complex predictive models while still providing useful explanations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}