Acquisition prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features = pd.read_pickle('data/all_features.pkl')\n",
    "posts = pd.read_pickle('data/all_posts.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>name</th>\n",
       "      <th>nemps</th>\n",
       "      <th>nfollowers</th>\n",
       "      <th>nfundrounds</th>\n",
       "      <th>ninvestors</th>\n",
       "      <th>noffices</th>\n",
       "      <th>owl_nfollow</th>\n",
       "      <th>pro_comp</th>\n",
       "      <th>revenue</th>\n",
       "      <th>twiiter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adiquity</th>\n",
       "      <td>6.095442</td>\n",
       "      <td>-0.384010</td>\n",
       "      <td>2.118524</td>\n",
       "      <td>-4.573643</td>\n",
       "      <td>6.839830</td>\n",
       "      <td>-2.016322</td>\n",
       "      <td>5.056114</td>\n",
       "      <td>6.154154</td>\n",
       "      <td>-9.471286</td>\n",
       "      <td>-5.369165</td>\n",
       "      <td>...</td>\n",
       "      <td>adiquity</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>62</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>admagnet</th>\n",
       "      <td>-3.933289</td>\n",
       "      <td>2.611545</td>\n",
       "      <td>-0.514441</td>\n",
       "      <td>-0.904114</td>\n",
       "      <td>6.215644</td>\n",
       "      <td>-3.834968</td>\n",
       "      <td>-1.220984</td>\n",
       "      <td>2.364998</td>\n",
       "      <td>-2.254915</td>\n",
       "      <td>-3.083751</td>\n",
       "      <td>...</td>\n",
       "      <td>admagnet</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>antuit</th>\n",
       "      <td>1.625175</td>\n",
       "      <td>0.429878</td>\n",
       "      <td>0.096096</td>\n",
       "      <td>0.301241</td>\n",
       "      <td>1.915191</td>\n",
       "      <td>-1.149361</td>\n",
       "      <td>-2.790197</td>\n",
       "      <td>-0.759947</td>\n",
       "      <td>0.066572</td>\n",
       "      <td>-0.178925</td>\n",
       "      <td>...</td>\n",
       "      <td>antuit</td>\n",
       "      <td>40</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>appiterate</th>\n",
       "      <td>3.907047</td>\n",
       "      <td>-1.534492</td>\n",
       "      <td>2.700393</td>\n",
       "      <td>-11.384540</td>\n",
       "      <td>5.987876</td>\n",
       "      <td>-0.926288</td>\n",
       "      <td>0.490440</td>\n",
       "      <td>16.426630</td>\n",
       "      <td>-6.743738</td>\n",
       "      <td>-5.010009</td>\n",
       "      <td>...</td>\n",
       "      <td>appiterate</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>appknox</th>\n",
       "      <td>-1.046464</td>\n",
       "      <td>1.908051</td>\n",
       "      <td>-2.508015</td>\n",
       "      <td>-2.203620</td>\n",
       "      <td>-0.506814</td>\n",
       "      <td>-1.354483</td>\n",
       "      <td>3.341947</td>\n",
       "      <td>1.689208</td>\n",
       "      <td>-5.112165</td>\n",
       "      <td>-1.051153</td>\n",
       "      <td>...</td>\n",
       "      <td>appknox</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 218 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0         1         2          3         4         5  \\\n",
       "adiquity    6.095442 -0.384010  2.118524  -4.573643  6.839830 -2.016322   \n",
       "admagnet   -3.933289  2.611545 -0.514441  -0.904114  6.215644 -3.834968   \n",
       "antuit      1.625175  0.429878  0.096096   0.301241  1.915191 -1.149361   \n",
       "appiterate  3.907047 -1.534492  2.700393 -11.384540  5.987876 -0.926288   \n",
       "appknox    -1.046464  1.908051 -2.508015  -2.203620 -0.506814 -1.354483   \n",
       "\n",
       "                   6          7         8         9   ...           name  \\\n",
       "adiquity    5.056114   6.154154 -9.471286 -5.369165   ...       adiquity   \n",
       "admagnet   -1.220984   2.364998 -2.254915 -3.083751   ...       admagnet   \n",
       "antuit     -2.790197  -0.759947  0.066572 -0.178925   ...         antuit   \n",
       "appiterate  0.490440  16.426630 -6.743738 -5.010009   ...     appiterate   \n",
       "appknox     3.341947   1.689208 -5.112165 -1.051153   ...        appknox   \n",
       "\n",
       "            nemps  nfollowers  nfundrounds  ninvestors  noffices  owl_nfollow  \\\n",
       "adiquity       50           5            2           2         1           62   \n",
       "admagnet       35           1            0           0         1            0   \n",
       "antuit         40          11            2           2         1           24   \n",
       "appiterate     10           0            1           3         1          100   \n",
       "appknox        10           1            2           5         1           29   \n",
       "\n",
       "            pro_comp  revenue  twiiter  \n",
       "adiquity         100        1      0.8  \n",
       "admagnet          45        1     0.63  \n",
       "antuit           100        1     0.01  \n",
       "appiterate       100        1      0.1  \n",
       "appknox           52        1      0.8  \n",
       "\n",
       "[5 rows x 218 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>cname</th>\n",
       "      <th>post</th>\n",
       "      <th>site</th>\n",
       "      <th>title</th>\n",
       "      <th>acquired</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>[[practo]]</td>\n",
       "      <td>[after, on, boarding, a, marque, investor, tea...</td>\n",
       "      <td>ys</td>\n",
       "      <td>[practo, enters, e, commerce, starts, online, ...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[[practo]]</td>\n",
       "      <td>[after, its, expansion, into, practo, today, a...</td>\n",
       "      <td>ys</td>\n",
       "      <td>[practo, acquires, insta, health, to, digitise...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>[[practo]]</td>\n",
       "      <td>[it, s, just, a, month, since, and, there, has...</td>\n",
       "      <td>ys</td>\n",
       "      <td>[practo, on, an, acquisition, spree, gets, doc...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>[[freshdesk]]</td>\n",
       "      <td>[cloud, based, customer, support, software, ha...</td>\n",
       "      <td>ys</td>\n",
       "      <td>[freshdesk, on, an, acquisition, spree, bags, ...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[[infibeam]]</td>\n",
       "      <td>[the, first, ever, move, from, an, indian, com...</td>\n",
       "      <td>ys</td>\n",
       "      <td>[infibeam, rock, a, bye, baby, the, e, commerc...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index          cname                                               post  \\\n",
       "0      0     [[practo]]  [after, on, boarding, a, marque, investor, tea...   \n",
       "1      1     [[practo]]  [after, its, expansion, into, practo, today, a...   \n",
       "2      2     [[practo]]  [it, s, just, a, month, since, and, there, has...   \n",
       "3      3  [[freshdesk]]  [cloud, based, customer, support, software, ha...   \n",
       "4      4   [[infibeam]]  [the, first, ever, move, from, an, indian, com...   \n",
       "\n",
       "  site                                              title  acquired  \n",
       "0   ys  [practo, enters, e, commerce, starts, online, ...         0  \n",
       "1   ys  [practo, acquires, insta, health, to, digitise...         0  \n",
       "2   ys  [practo, on, an, acquisition, spree, gets, doc...         0  \n",
       "3   ys  [freshdesk, on, an, acquisition, spree, bags, ...         0  \n",
       "4   ys  [infibeam, rock, a, bye, baby, the, e, commerc...         0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "posts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       None\n",
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       "3       None\n",
       "4       None\n",
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       "16      None\n",
       "17      None\n",
       "18      None\n",
       "19      None\n",
       "20      None\n",
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       "24      None\n",
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       "        ... \n",
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       "1860    None\n",
       "1861    None\n",
       "1862    None\n",
       "1863    None\n",
       "1864    None\n",
       "1865    None\n",
       "1866    None\n",
       "1867    None\n",
       "1868    None\n",
       "1869    None\n",
       "1870    None\n",
       "1871    None\n",
       "1872    None\n",
       "1873    None\n",
       "1874    None\n",
       "1875    None\n",
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       "dtype: object"
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     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_site = {'n_ys':{},'n_vc':{},'n_mn':{},'n_nbw':{}}\n",
    "\n",
    "def comp_site_map(row):\n",
    "    for c in row['cname']:\n",
    "        c = ' '.join(c)\n",
    "        cur_count = comp_site['n_'+row['site']].get(c,0)\n",
    "        comp_site['n_'+row['site']][c] = cur_count+1\n",
    "        \n",
    "posts.apply(comp_site_map,axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_mn': {'adiquity': 7,\n",
       "  'admagnet': 3,\n",
       "  'antuit': 1,\n",
       "  'appiterate': 3,\n",
       "  'appknox': 1,\n",
       "  'babyoye': 6,\n",
       "  'bankbazaar': 5,\n",
       "  'burrp': 14,\n",
       "  'cardekho': 11,\n",
       "  'carwale': 6,\n",
       "  'delhivery': 9,\n",
       "  'eventifier': 3,\n",
       "  'exotel': 3,\n",
       "  'explara': 6,\n",
       "  'firstcry': 9,\n",
       "  'fitho': 5,\n",
       "  'fractal analytics': 10,\n",
       "  'freecharge': 34,\n",
       "  'freshdesk': 9,\n",
       "  'frilp': 2,\n",
       "  'hackerrank': 1,\n",
       "  'heckyl': 1,\n",
       "  'homebuy360': 1,\n",
       "  'homelane': 4,\n",
       "  'indusnet indus net': 30,\n",
       "  'infibeam': 32,\n",
       "  'inmobi': 50,\n",
       "  'insta health': 6,\n",
       "  'instamojo': 11,\n",
       "  'jabong': 25,\n",
       "  'jombay': 1,\n",
       "  'jugnoo': 3,\n",
       "  'juspay': 1,\n",
       "  'komli': 37,\n",
       "  'konotor': 1,\n",
       "  'limeroad': 6,\n",
       "  'lybrate': 3,\n",
       "  'madrat': 3,\n",
       "  'magicbricks': 11,\n",
       "  'makaan': 4,\n",
       "  'manthan': 5,\n",
       "  'martjack': 1,\n",
       "  'martmobi': 3,\n",
       "  'meru': 13,\n",
       "  'mobikwik': 27,\n",
       "  'mobstac': 5,\n",
       "  'mygola': 2,\n",
       "  'native5': 2,\n",
       "  'nowfloats': 4,\n",
       "  'oyo': 15,\n",
       "  'parcelled': 2,\n",
       "  'pepperfry': 7,\n",
       "  'pickingo': 3,\n",
       "  'practo': 14,\n",
       "  'pubmatic': 11,\n",
       "  'qikpod': 1,\n",
       "  'quikr': 41,\n",
       "  'realty compass': 4,\n",
       "  'redbus': 27,\n",
       "  'rivigo': 1,\n",
       "  'saavn': 37,\n",
       "  'shifu': 2,\n",
       "  'shopclues': 24,\n",
       "  'shopify': 7,\n",
       "  'tastykhana': 3,\n",
       "  'taxiforsure': 26,\n",
       "  'thrill': 1,\n",
       "  'tinyowl': 12,\n",
       "  'tommyjams': 1,\n",
       "  'tookitaki': 3,\n",
       "  'toppr': 3,\n",
       "  'townrush': 2,\n",
       "  'trideal': 1,\n",
       "  'unicommerce': 1,\n",
       "  'unmetric': 2,\n",
       "  'urban ladder': 22,\n",
       "  'urbanspoon': 2,\n",
       "  'vauntz': 1,\n",
       "  'vserv': 42,\n",
       "  'webengage': 3,\n",
       "  'zepper': 1,\n",
       "  'zipdial': 10},\n",
       " 'n_nbw': {'adiquity': 6,\n",
       "  'admagnet': 1,\n",
       "  'appiterate': 5,\n",
       "  'babyoye': 5,\n",
       "  'backpacker': 2,\n",
       "  'bankbazaar': 4,\n",
       "  'burrp': 26,\n",
       "  'cardekho': 11,\n",
       "  'carwale': 4,\n",
       "  'delhivery': 7,\n",
       "  'deskaway': 4,\n",
       "  'doowup': 1,\n",
       "  'eventifier': 4,\n",
       "  'exotel': 9,\n",
       "  'explara': 9,\n",
       "  'firstcry': 8,\n",
       "  'fitho': 2,\n",
       "  'fractal analytics': 14,\n",
       "  'freecharge': 24,\n",
       "  'freshdesk': 26,\n",
       "  'frilp': 1,\n",
       "  'gapoon': 1,\n",
       "  'hackerrank': 4,\n",
       "  'heckyl': 1,\n",
       "  'homebuy360': 2,\n",
       "  'homelane': 2,\n",
       "  'indusnet indus net': 4,\n",
       "  'infibeam': 35,\n",
       "  'inmobi': 39,\n",
       "  'insta health': 8,\n",
       "  'instamojo': 13,\n",
       "  'jabong': 9,\n",
       "  'jombay': 1,\n",
       "  'jugnoo': 10,\n",
       "  'komli': 22,\n",
       "  'konotor': 2,\n",
       "  'limeroad': 5,\n",
       "  'linkstreet': 1,\n",
       "  'lybrate': 3,\n",
       "  'madrat': 3,\n",
       "  'magicbricks': 2,\n",
       "  'makaan': 2,\n",
       "  'manthan': 1,\n",
       "  'martjack': 5,\n",
       "  'martmobi': 5,\n",
       "  'meru': 17,\n",
       "  'mobikwik': 14,\n",
       "  'mobstac': 9,\n",
       "  'mygola': 4,\n",
       "  'native5': 1,\n",
       "  'nowfloats': 1,\n",
       "  'oyo': 16,\n",
       "  'parcelled': 1,\n",
       "  'pepperfry': 11,\n",
       "  'pickingo': 2,\n",
       "  'practo': 13,\n",
       "  'pubmatic': 8,\n",
       "  'qikpod': 1,\n",
       "  'quikr': 31,\n",
       "  'realty compass': 2,\n",
       "  'redbus': 45,\n",
       "  'rivigo': 1,\n",
       "  'saavn': 12,\n",
       "  'shifu': 3,\n",
       "  'shopclues': 19,\n",
       "  'shopify': 7,\n",
       "  'supportbee': 2,\n",
       "  'tastykhana': 4,\n",
       "  'taxiforsure': 33,\n",
       "  'thrill': 4,\n",
       "  'tinyowl': 11,\n",
       "  'tommyjams': 1,\n",
       "  'tookitaki': 1,\n",
       "  'toppr': 3,\n",
       "  'townrush': 2,\n",
       "  'unicommerce': 3,\n",
       "  'unmetric': 5,\n",
       "  'urban ladder': 20,\n",
       "  'urbanspoon': 2,\n",
       "  'vserv': 7,\n",
       "  'webengage': 8,\n",
       "  'zepper': 1,\n",
       "  'zipdial': 14},\n",
       " 'n_vc': {'adiquity': 1,\n",
       "  'antuit': 1,\n",
       "  'appiterate': 1,\n",
       "  'babyoye': 1,\n",
       "  'cardekho': 3,\n",
       "  'carwale': 1,\n",
       "  'croak': 2,\n",
       "  'eventifier': 1,\n",
       "  'exotel': 2,\n",
       "  'explara': 1,\n",
       "  'fitho': 1,\n",
       "  'fractal analytics': 16,\n",
       "  'freecharge': 2,\n",
       "  'freshdesk': 3,\n",
       "  'frilp': 1,\n",
       "  'homebuy360': 2,\n",
       "  'housing': 15,\n",
       "  'indusnet indus net': 4,\n",
       "  'insta health': 20,\n",
       "  'jabong': 6,\n",
       "  'jugnoo': 2,\n",
       "  'komli': 2,\n",
       "  'makaan': 1,\n",
       "  'martmobi': 2,\n",
       "  'meru': 2,\n",
       "  'mygola': 1,\n",
       "  'name': 2,\n",
       "  'native5': 1,\n",
       "  'oyo': 3,\n",
       "  'pickingo': 1,\n",
       "  'practo': 4,\n",
       "  'quikr': 6,\n",
       "  'realty compass': 6,\n",
       "  'shifu': 1,\n",
       "  'taxiforsure': 3,\n",
       "  'toppr': 2,\n",
       "  'townrush': 2,\n",
       "  'trideal': 1,\n",
       "  'urbanspoon': 2,\n",
       "  'vauntz': 1,\n",
       "  'zepper': 1},\n",
       " 'n_ys': {'adiquity': 2,\n",
       "  'appiterate': 5,\n",
       "  'appknox': 2,\n",
       "  'babyoye': 2,\n",
       "  'backpacker': 9,\n",
       "  'bankbazaar': 4,\n",
       "  'burrp': 1,\n",
       "  'cardekho': 6,\n",
       "  'carwale': 1,\n",
       "  'delhivery': 5,\n",
       "  'deskaway': 2,\n",
       "  'doowup': 1,\n",
       "  'eventifier': 1,\n",
       "  'exotel': 1,\n",
       "  'explara': 1,\n",
       "  'firstcry': 1,\n",
       "  'fitho': 1,\n",
       "  'fractal analytics': 19,\n",
       "  'freecharge': 21,\n",
       "  'freshdesk': 33,\n",
       "  'gapoon': 1,\n",
       "  'hackerrank': 2,\n",
       "  'heckyl': 11,\n",
       "  'homebuy360': 2,\n",
       "  'homelane': 3,\n",
       "  'indusnet indus net': 13,\n",
       "  'infibeam': 10,\n",
       "  'inmobi': 12,\n",
       "  'insta health': 19,\n",
       "  'instamojo': 7,\n",
       "  'jabong': 2,\n",
       "  'jombay': 1,\n",
       "  'jugnoo': 8,\n",
       "  'junotele': 1,\n",
       "  'juspay': 6,\n",
       "  'komli': 1,\n",
       "  'konotor': 1,\n",
       "  'limeroad': 7,\n",
       "  'linkstreet': 2,\n",
       "  'lybrate': 3,\n",
       "  'makaan': 2,\n",
       "  'manthan': 5,\n",
       "  'martjack': 8,\n",
       "  'martmobi': 1,\n",
       "  'meru': 2,\n",
       "  'mobikwik': 7,\n",
       "  'mobstac': 8,\n",
       "  'mygola': 2,\n",
       "  'name': 5,\n",
       "  'netmeds': 1,\n",
       "  'nowfloats': 10,\n",
       "  'opinio': 2,\n",
       "  'oyo': 8,\n",
       "  'pepperfry': 8,\n",
       "  'pickingo': 3,\n",
       "  'practo': 15,\n",
       "  'pubmatic': 1,\n",
       "  'quikr': 7,\n",
       "  'realty compass': 5,\n",
       "  'redbus': 8,\n",
       "  'rivigo': 2,\n",
       "  'saavn': 1,\n",
       "  'shifu': 2,\n",
       "  'shopclues': 15,\n",
       "  'shopify': 2,\n",
       "  'tastykhana': 3,\n",
       "  'taxiforsure': 21,\n",
       "  'thrill': 1,\n",
       "  'tinyowl': 8,\n",
       "  'tommyjams': 1,\n",
       "  'tookitaki': 1,\n",
       "  'toppr': 4,\n",
       "  'unicommerce': 2,\n",
       "  'urban ladder': 25,\n",
       "  'urbanspoon': 1,\n",
       "  'vauntz': 1,\n",
       "  'vserv': 2,\n",
       "  'webengage': 4,\n",
       "  'wittyfeed': 1,\n",
       "  'witworks': 1,\n",
       "  'zepper': 1,\n",
       "  'zipdial': 2}}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_site"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features = pd.concat([features,pd.DataFrame(comp_site)],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def getavg(fundamts):\n",
    "    amts = map(float,str(fundamts).split('-'))\n",
    "    return sum(amts)/len(amts)\n",
    "\n",
    "features['fund_avg'] = features['fundamts'].apply(getavg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "hqs = list(features['hq'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features['founded'] = pd.to_datetime(features['founded'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#junotele,name,netmeds,trideal,\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features = features.T\n",
    "\n",
    "del features['junotele']\n",
    "del features['name']\n",
    "del features['netmeds']\n",
    "del features['trideal']\n",
    "del features['bigbasket.com']\n",
    "del features['croak.it']\n",
    "\n",
    "features = features.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features['months'] = features['founded'].apply(lambda x:(datetime.now()-x).days/30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del features['founded']\n",
    "del features['fundamts']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features = features.fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>owl_nfollow</th>\n",
       "      <th>pro_comp</th>\n",
       "      <th>revenue</th>\n",
       "      <th>twiiter</th>\n",
       "      <th>n_mn</th>\n",
       "      <th>n_nbw</th>\n",
       "      <th>n_vc</th>\n",
       "      <th>n_ys</th>\n",
       "      <th>fund_avg</th>\n",
       "      <th>months</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adiquity</th>\n",
       "      <td>6.095442</td>\n",
       "      <td>-0.384010</td>\n",
       "      <td>2.118524</td>\n",
       "      <td>-4.573643</td>\n",
       "      <td>6.839830</td>\n",
       "      <td>-2.016322</td>\n",
       "      <td>5.056114</td>\n",
       "      <td>6.154154</td>\n",
       "      <td>-9.471286</td>\n",
       "      <td>-5.369165</td>\n",
       "      <td>...</td>\n",
       "      <td>62</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>admagnet</th>\n",
       "      <td>-3.933289</td>\n",
       "      <td>2.611545</td>\n",
       "      <td>-0.514441</td>\n",
       "      <td>-0.904114</td>\n",
       "      <td>6.215644</td>\n",
       "      <td>-3.834968</td>\n",
       "      <td>-1.220984</td>\n",
       "      <td>2.364998</td>\n",
       "      <td>-2.254915</td>\n",
       "      <td>-3.083751</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>0.63</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>antuit</th>\n",
       "      <td>1.625175</td>\n",
       "      <td>0.429878</td>\n",
       "      <td>0.096096</td>\n",
       "      <td>0.301241</td>\n",
       "      <td>1.915191</td>\n",
       "      <td>-1.149361</td>\n",
       "      <td>-2.790197</td>\n",
       "      <td>-0.759947</td>\n",
       "      <td>0.066572</td>\n",
       "      <td>-0.178925</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>appiterate</th>\n",
       "      <td>3.907047</td>\n",
       "      <td>-1.534492</td>\n",
       "      <td>2.700393</td>\n",
       "      <td>-11.384540</td>\n",
       "      <td>5.987876</td>\n",
       "      <td>-0.926288</td>\n",
       "      <td>0.490440</td>\n",
       "      <td>16.426630</td>\n",
       "      <td>-6.743738</td>\n",
       "      <td>-5.010009</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>appknox</th>\n",
       "      <td>-1.046464</td>\n",
       "      <td>1.908051</td>\n",
       "      <td>-2.508015</td>\n",
       "      <td>-2.203620</td>\n",
       "      <td>-0.506814</td>\n",
       "      <td>-1.354483</td>\n",
       "      <td>3.341947</td>\n",
       "      <td>1.689208</td>\n",
       "      <td>-5.112165</td>\n",
       "      <td>-1.051153</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>babyoye</th>\n",
       "      <td>-16.338200</td>\n",
       "      <td>6.921768</td>\n",
       "      <td>-4.747227</td>\n",
       "      <td>-4.347653</td>\n",
       "      <td>6.425167</td>\n",
       "      <td>6.225708</td>\n",
       "      <td>-18.164024</td>\n",
       "      <td>4.765369</td>\n",
       "      <td>-9.211883</td>\n",
       "      <td>-14.280066</td>\n",
       "      <td>...</td>\n",
       "      <td>182</td>\n",
       "      <td>95</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>backpacker</th>\n",
       "      <td>-0.601401</td>\n",
       "      <td>6.087700</td>\n",
       "      <td>-1.149415</td>\n",
       "      <td>-11.120674</td>\n",
       "      <td>2.032969</td>\n",
       "      <td>5.833905</td>\n",
       "      <td>-14.090513</td>\n",
       "      <td>-0.619183</td>\n",
       "      <td>-12.477149</td>\n",
       "      <td>-17.415644</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>1.34</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bankbazaar</th>\n",
       "      <td>-0.163614</td>\n",
       "      <td>7.085605</td>\n",
       "      <td>-2.502302</td>\n",
       "      <td>-8.732586</td>\n",
       "      <td>2.096336</td>\n",
       "      <td>5.765410</td>\n",
       "      <td>0.949310</td>\n",
       "      <td>4.786913</td>\n",
       "      <td>8.461727</td>\n",
       "      <td>-12.956447</td>\n",
       "      <td>...</td>\n",
       "      <td>757</td>\n",
       "      <td>100</td>\n",
       "      <td>10</td>\n",
       "      <td>11.59</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>26.333333</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>burrp</th>\n",
       "      <td>5.495484</td>\n",
       "      <td>1.698862</td>\n",
       "      <td>-23.806908</td>\n",
       "      <td>-27.452366</td>\n",
       "      <td>9.497677</td>\n",
       "      <td>-28.374470</td>\n",
       "      <td>-23.287617</td>\n",
       "      <td>1.640384</td>\n",
       "      <td>-37.933071</td>\n",
       "      <td>-59.795544</td>\n",
       "      <td>...</td>\n",
       "      <td>590</td>\n",
       "      <td>95</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>14</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardekho</th>\n",
       "      <td>-17.984728</td>\n",
       "      <td>1.071310</td>\n",
       "      <td>-2.409578</td>\n",
       "      <td>-7.787544</td>\n",
       "      <td>18.128227</td>\n",
       "      <td>0.540441</td>\n",
       "      <td>-29.916143</td>\n",
       "      <td>19.256432</td>\n",
       "      <td>-17.724581</td>\n",
       "      <td>-15.920527</td>\n",
       "      <td>...</td>\n",
       "      <td>849</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carwale</th>\n",
       "      <td>-3.964241</td>\n",
       "      <td>2.543842</td>\n",
       "      <td>-6.703001</td>\n",
       "      <td>-1.019585</td>\n",
       "      <td>4.835114</td>\n",
       "      <td>-2.427643</td>\n",
       "      <td>-5.910921</td>\n",
       "      <td>0.476948</td>\n",
       "      <td>-11.051591</td>\n",
       "      <td>-4.392192</td>\n",
       "      <td>...</td>\n",
       "      <td>681</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cloudboost</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>croak</th>\n",
       "      <td>0.461661</td>\n",
       "      <td>3.649892</td>\n",
       "      <td>0.454177</td>\n",
       "      <td>0.294882</td>\n",
       "      <td>0.627966</td>\n",
       "      <td>-2.053219</td>\n",
       "      <td>0.955017</td>\n",
       "      <td>0.860097</td>\n",
       "      <td>-1.689868</td>\n",
       "      <td>-0.988847</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delhivery</th>\n",
       "      <td>-6.484064</td>\n",
       "      <td>5.638927</td>\n",
       "      <td>-5.288878</td>\n",
       "      <td>-11.799816</td>\n",
       "      <td>10.015519</td>\n",
       "      <td>7.080872</td>\n",
       "      <td>-11.173186</td>\n",
       "      <td>12.037066</td>\n",
       "      <td>-13.216895</td>\n",
       "      <td>-6.480239</td>\n",
       "      <td>...</td>\n",
       "      <td>878</td>\n",
       "      <td>100</td>\n",
       "      <td>10</td>\n",
       "      <td>1.05</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>31.875000</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deskaway</th>\n",
       "      <td>1.869457</td>\n",
       "      <td>1.021696</td>\n",
       "      <td>-5.792532</td>\n",
       "      <td>-4.629005</td>\n",
       "      <td>4.329287</td>\n",
       "      <td>-0.328624</td>\n",
       "      <td>2.514902</td>\n",
       "      <td>0.117025</td>\n",
       "      <td>-8.124866</td>\n",
       "      <td>-3.503215</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>55</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doowup</th>\n",
       "      <td>-0.699117</td>\n",
       "      <td>0.392555</td>\n",
       "      <td>1.067545</td>\n",
       "      <td>-0.378546</td>\n",
       "      <td>1.477073</td>\n",
       "      <td>-1.625135</td>\n",
       "      <td>-1.823454</td>\n",
       "      <td>3.443221</td>\n",
       "      <td>-1.976434</td>\n",
       "      <td>1.649505</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eventifier</th>\n",
       "      <td>-1.154010</td>\n",
       "      <td>7.880155</td>\n",
       "      <td>-4.850804</td>\n",
       "      <td>-11.415249</td>\n",
       "      <td>6.274510</td>\n",
       "      <td>1.623399</td>\n",
       "      <td>-1.291752</td>\n",
       "      <td>2.200829</td>\n",
       "      <td>-3.231271</td>\n",
       "      <td>-3.913147</td>\n",
       "      <td>...</td>\n",
       "      <td>65</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>exotel</th>\n",
       "      <td>-3.930588</td>\n",
       "      <td>18.395533</td>\n",
       "      <td>-2.082319</td>\n",
       "      <td>-4.737268</td>\n",
       "      <td>6.466765</td>\n",
       "      <td>-12.079530</td>\n",
       "      <td>3.232724</td>\n",
       "      <td>5.411754</td>\n",
       "      <td>-8.907711</td>\n",
       "      <td>-12.104525</td>\n",
       "      <td>...</td>\n",
       "      <td>248</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>1.75</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>explara</th>\n",
       "      <td>7.970877</td>\n",
       "      <td>0.684339</td>\n",
       "      <td>-10.764871</td>\n",
       "      <td>-15.320891</td>\n",
       "      <td>3.849942</td>\n",
       "      <td>2.058669</td>\n",
       "      <td>-3.693429</td>\n",
       "      <td>-9.275299</td>\n",
       "      <td>-11.948338</td>\n",
       "      <td>-4.119132</td>\n",
       "      <td>...</td>\n",
       "      <td>154</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firstcry</th>\n",
       "      <td>-11.850974</td>\n",
       "      <td>10.299588</td>\n",
       "      <td>2.089837</td>\n",
       "      <td>-13.286595</td>\n",
       "      <td>9.085392</td>\n",
       "      <td>3.570561</td>\n",
       "      <td>-22.375460</td>\n",
       "      <td>11.798750</td>\n",
       "      <td>-8.689727</td>\n",
       "      <td>-20.263874</td>\n",
       "      <td>...</td>\n",
       "      <td>204</td>\n",
       "      <td>94</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.583333</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitho</th>\n",
       "      <td>-2.474134</td>\n",
       "      <td>5.495753</td>\n",
       "      <td>-0.387060</td>\n",
       "      <td>-1.239158</td>\n",
       "      <td>5.629352</td>\n",
       "      <td>-2.974453</td>\n",
       "      <td>1.361069</td>\n",
       "      <td>-0.827508</td>\n",
       "      <td>-1.646685</td>\n",
       "      <td>-8.541999</td>\n",
       "      <td>...</td>\n",
       "      <td>51</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal analytics</th>\n",
       "      <td>-2.823113</td>\n",
       "      <td>33.199799</td>\n",
       "      <td>1.549003</td>\n",
       "      <td>-33.649227</td>\n",
       "      <td>25.330534</td>\n",
       "      <td>-3.414039</td>\n",
       "      <td>-25.974060</td>\n",
       "      <td>19.698103</td>\n",
       "      <td>-46.427261</td>\n",
       "      <td>-41.618721</td>\n",
       "      <td>...</td>\n",
       "      <td>675</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>1.9</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freecharge</th>\n",
       "      <td>3.597401</td>\n",
       "      <td>52.130402</td>\n",
       "      <td>-24.100756</td>\n",
       "      <td>-41.352161</td>\n",
       "      <td>42.871689</td>\n",
       "      <td>7.878109</td>\n",
       "      <td>-32.213673</td>\n",
       "      <td>28.787125</td>\n",
       "      <td>-81.789398</td>\n",
       "      <td>-21.570417</td>\n",
       "      <td>...</td>\n",
       "      <td>1360</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>58</td>\n",
       "      <td>34</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>56.500000</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freshdesk</th>\n",
       "      <td>-16.430304</td>\n",
       "      <td>35.118782</td>\n",
       "      <td>-3.549697</td>\n",
       "      <td>-41.873310</td>\n",
       "      <td>53.246151</td>\n",
       "      <td>-16.363462</td>\n",
       "      <td>-30.356689</td>\n",
       "      <td>15.972484</td>\n",
       "      <td>-65.486046</td>\n",
       "      <td>-43.481369</td>\n",
       "      <td>...</td>\n",
       "      <td>655</td>\n",
       "      <td>100</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "      <td>15.833333</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frilp</th>\n",
       "      <td>-1.151562</td>\n",
       "      <td>2.710439</td>\n",
       "      <td>3.608341</td>\n",
       "      <td>1.043951</td>\n",
       "      <td>5.080792</td>\n",
       "      <td>-1.864509</td>\n",
       "      <td>-2.933479</td>\n",
       "      <td>-0.165587</td>\n",
       "      <td>-1.223536</td>\n",
       "      <td>0.057224</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>97</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fugenx</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gapoon</th>\n",
       "      <td>-1.583410</td>\n",
       "      <td>2.180373</td>\n",
       "      <td>-0.175175</td>\n",
       "      <td>0.030742</td>\n",
       "      <td>2.327065</td>\n",
       "      <td>-0.200555</td>\n",
       "      <td>-1.562945</td>\n",
       "      <td>0.236554</td>\n",
       "      <td>-2.256202</td>\n",
       "      <td>-0.344706</td>\n",
       "      <td>...</td>\n",
       "      <td>1759</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5194</td>\n",
       "      <td>100</td>\n",
       "      <td>20</td>\n",
       "      <td>10.57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55.166667</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hackerrank</th>\n",
       "      <td>2.552086</td>\n",
       "      <td>1.260625</td>\n",
       "      <td>-1.465116</td>\n",
       "      <td>-4.447367</td>\n",
       "      <td>3.449926</td>\n",
       "      <td>0.713075</td>\n",
       "      <td>-2.889284</td>\n",
       "      <td>-1.846456</td>\n",
       "      <td>-7.076140</td>\n",
       "      <td>-7.575149</td>\n",
       "      <td>...</td>\n",
       "      <td>186</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>9.76</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4.975000</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heckyl</th>\n",
       "      <td>-7.236139</td>\n",
       "      <td>14.407660</td>\n",
       "      <td>2.982007</td>\n",
       "      <td>-11.158109</td>\n",
       "      <td>3.694097</td>\n",
       "      <td>-11.267441</td>\n",
       "      <td>-6.596227</td>\n",
       "      <td>-0.866313</td>\n",
       "      <td>-9.224508</td>\n",
       "      <td>-10.077786</td>\n",
       "      <td>...</td>\n",
       "      <td>39</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1.583333</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qikpod</th>\n",
       "      <td>-3.119015</td>\n",
       "      <td>-0.827467</td>\n",
       "      <td>-2.724632</td>\n",
       "      <td>-1.718791</td>\n",
       "      <td>0.238966</td>\n",
       "      <td>1.712041</td>\n",
       "      <td>-0.399791</td>\n",
       "      <td>1.383713</td>\n",
       "      <td>-3.185616</td>\n",
       "      <td>1.300671</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>93</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>9.000000</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quikr</th>\n",
       "      <td>-10.826462</td>\n",
       "      <td>26.537275</td>\n",
       "      <td>-24.552294</td>\n",
       "      <td>-22.302517</td>\n",
       "      <td>38.226585</td>\n",
       "      <td>14.979356</td>\n",
       "      <td>-57.950653</td>\n",
       "      <td>39.693878</td>\n",
       "      <td>-62.687248</td>\n",
       "      <td>-53.617271</td>\n",
       "      <td>...</td>\n",
       "      <td>725</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>26.47</td>\n",
       "      <td>41</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>57.666667</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>realty compass</th>\n",
       "      <td>-3.842483</td>\n",
       "      <td>8.949987</td>\n",
       "      <td>-10.330401</td>\n",
       "      <td>-2.973278</td>\n",
       "      <td>9.349569</td>\n",
       "      <td>2.882993</td>\n",
       "      <td>-5.274334</td>\n",
       "      <td>6.763806</td>\n",
       "      <td>-17.778679</td>\n",
       "      <td>-15.608597</td>\n",
       "      <td>...</td>\n",
       "      <td>93</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>3.82</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbus</th>\n",
       "      <td>-3.569272</td>\n",
       "      <td>73.627350</td>\n",
       "      <td>-36.561203</td>\n",
       "      <td>-70.143646</td>\n",
       "      <td>54.341896</td>\n",
       "      <td>16.303637</td>\n",
       "      <td>-9.650764</td>\n",
       "      <td>43.656532</td>\n",
       "      <td>-70.396378</td>\n",
       "      <td>-67.011093</td>\n",
       "      <td>...</td>\n",
       "      <td>533</td>\n",
       "      <td>100</td>\n",
       "      <td>125</td>\n",
       "      <td>4.8</td>\n",
       "      <td>27</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2.773333</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rivigo</th>\n",
       "      <td>-2.183823</td>\n",
       "      <td>1.584446</td>\n",
       "      <td>-0.846849</td>\n",
       "      <td>-2.051002</td>\n",
       "      <td>2.116416</td>\n",
       "      <td>2.831296</td>\n",
       "      <td>-4.117532</td>\n",
       "      <td>-0.405983</td>\n",
       "      <td>-2.802412</td>\n",
       "      <td>-0.873654</td>\n",
       "      <td>...</td>\n",
       "      <td>41</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saavn</th>\n",
       "      <td>-5.235900</td>\n",
       "      <td>-23.060148</td>\n",
       "      <td>-2.728161</td>\n",
       "      <td>-30.869228</td>\n",
       "      <td>16.434454</td>\n",
       "      <td>-16.572685</td>\n",
       "      <td>-2.555189</td>\n",
       "      <td>37.904694</td>\n",
       "      <td>-60.884747</td>\n",
       "      <td>-44.214699</td>\n",
       "      <td>...</td>\n",
       "      <td>125</td>\n",
       "      <td>97</td>\n",
       "      <td>30000</td>\n",
       "      <td>51.69</td>\n",
       "      <td>37</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>36.666667</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shifu</th>\n",
       "      <td>-1.383369</td>\n",
       "      <td>5.865006</td>\n",
       "      <td>-4.691152</td>\n",
       "      <td>-3.947389</td>\n",
       "      <td>5.555596</td>\n",
       "      <td>0.989233</td>\n",
       "      <td>4.543633</td>\n",
       "      <td>10.515245</td>\n",
       "      <td>-11.762891</td>\n",
       "      <td>-6.152539</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopclues</th>\n",
       "      <td>-15.647841</td>\n",
       "      <td>4.490108</td>\n",
       "      <td>0.317728</td>\n",
       "      <td>-41.388882</td>\n",
       "      <td>28.799631</td>\n",
       "      <td>-2.027576</td>\n",
       "      <td>-43.195995</td>\n",
       "      <td>37.418362</td>\n",
       "      <td>-41.640610</td>\n",
       "      <td>-39.338223</td>\n",
       "      <td>...</td>\n",
       "      <td>1785</td>\n",
       "      <td>100</td>\n",
       "      <td>40</td>\n",
       "      <td>33.13</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>19.464286</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopify</th>\n",
       "      <td>3.013701</td>\n",
       "      <td>2.599466</td>\n",
       "      <td>-6.759743</td>\n",
       "      <td>-13.190031</td>\n",
       "      <td>11.517054</td>\n",
       "      <td>1.844417</td>\n",
       "      <td>-11.237847</td>\n",
       "      <td>8.370359</td>\n",
       "      <td>-22.686089</td>\n",
       "      <td>-5.678387</td>\n",
       "      <td>...</td>\n",
       "      <td>579</td>\n",
       "      <td>100</td>\n",
       "      <td>149</td>\n",
       "      <td>185</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>40.666667</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supportbee</th>\n",
       "      <td>-0.596484</td>\n",
       "      <td>0.782888</td>\n",
       "      <td>-1.910029</td>\n",
       "      <td>-4.652853</td>\n",
       "      <td>1.586191</td>\n",
       "      <td>0.949651</td>\n",
       "      <td>1.503365</td>\n",
       "      <td>2.315379</td>\n",
       "      <td>-0.056764</td>\n",
       "      <td>-2.211119</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tastykhana</th>\n",
       "      <td>2.077874</td>\n",
       "      <td>9.433743</td>\n",
       "      <td>-6.038105</td>\n",
       "      <td>-10.199275</td>\n",
       "      <td>5.004033</td>\n",
       "      <td>-2.020121</td>\n",
       "      <td>-4.581500</td>\n",
       "      <td>7.207932</td>\n",
       "      <td>-7.472323</td>\n",
       "      <td>-17.327682</td>\n",
       "      <td>...</td>\n",
       "      <td>3290</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxiforsure</th>\n",
       "      <td>1.912135</td>\n",
       "      <td>88.859268</td>\n",
       "      <td>-69.104889</td>\n",
       "      <td>-67.006538</td>\n",
       "      <td>54.766811</td>\n",
       "      <td>32.202000</td>\n",
       "      <td>-32.882370</td>\n",
       "      <td>57.554367</td>\n",
       "      <td>-33.614029</td>\n",
       "      <td>-40.025150</td>\n",
       "      <td>...</td>\n",
       "      <td>743</td>\n",
       "      <td>100</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>14.666667</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>threadsol</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>103</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thrill</th>\n",
       "      <td>-1.132009</td>\n",
       "      <td>3.253110</td>\n",
       "      <td>-0.214570</td>\n",
       "      <td>0.335911</td>\n",
       "      <td>-0.131822</td>\n",
       "      <td>-3.242283</td>\n",
       "      <td>-1.188352</td>\n",
       "      <td>1.027914</td>\n",
       "      <td>-2.630375</td>\n",
       "      <td>-9.485107</td>\n",
       "      <td>...</td>\n",
       "      <td>54</td>\n",
       "      <td>95</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.44</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.166667</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tinyowl</th>\n",
       "      <td>-4.431743</td>\n",
       "      <td>18.449514</td>\n",
       "      <td>2.727070</td>\n",
       "      <td>-35.193485</td>\n",
       "      <td>0.886056</td>\n",
       "      <td>-9.382411</td>\n",
       "      <td>-4.421027</td>\n",
       "      <td>7.034420</td>\n",
       "      <td>-34.365322</td>\n",
       "      <td>-37.362846</td>\n",
       "      <td>...</td>\n",
       "      <td>4407</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>6.875000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tommyjams</th>\n",
       "      <td>0.816089</td>\n",
       "      <td>-0.009694</td>\n",
       "      <td>-1.934659</td>\n",
       "      <td>-1.961817</td>\n",
       "      <td>1.317881</td>\n",
       "      <td>3.247205</td>\n",
       "      <td>0.690741</td>\n",
       "      <td>0.057547</td>\n",
       "      <td>-4.402375</td>\n",
       "      <td>-2.103212</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tookitaki</th>\n",
       "      <td>1.948866</td>\n",
       "      <td>-0.753259</td>\n",
       "      <td>2.820761</td>\n",
       "      <td>-1.959452</td>\n",
       "      <td>3.516385</td>\n",
       "      <td>-1.118954</td>\n",
       "      <td>-5.560950</td>\n",
       "      <td>-0.564683</td>\n",
       "      <td>-2.817444</td>\n",
       "      <td>-3.143879</td>\n",
       "      <td>...</td>\n",
       "      <td>31</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.483333</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toppr</th>\n",
       "      <td>-8.631380</td>\n",
       "      <td>7.275991</td>\n",
       "      <td>7.785040</td>\n",
       "      <td>-2.642117</td>\n",
       "      <td>-1.866633</td>\n",
       "      <td>-3.770892</td>\n",
       "      <td>-5.937941</td>\n",
       "      <td>2.989386</td>\n",
       "      <td>-15.694386</td>\n",
       "      <td>-2.889388</td>\n",
       "      <td>...</td>\n",
       "      <td>544</td>\n",
       "      <td>100</td>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3.550000</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>townrush</th>\n",
       "      <td>-1.775603</td>\n",
       "      <td>1.123587</td>\n",
       "      <td>1.141165</td>\n",
       "      <td>-3.260168</td>\n",
       "      <td>1.422360</td>\n",
       "      <td>4.974627</td>\n",
       "      <td>-0.495563</td>\n",
       "      <td>-2.069747</td>\n",
       "      <td>-4.611412</td>\n",
       "      <td>-3.966743</td>\n",
       "      <td>...</td>\n",
       "      <td>509</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unicommerce</th>\n",
       "      <td>-1.099576</td>\n",
       "      <td>-6.519916</td>\n",
       "      <td>3.321749</td>\n",
       "      <td>0.061808</td>\n",
       "      <td>2.748689</td>\n",
       "      <td>0.002191</td>\n",
       "      <td>-1.908865</td>\n",
       "      <td>3.416794</td>\n",
       "      <td>-4.560795</td>\n",
       "      <td>-1.773987</td>\n",
       "      <td>...</td>\n",
       "      <td>442</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unmetric</th>\n",
       "      <td>0.507467</td>\n",
       "      <td>2.756223</td>\n",
       "      <td>2.344909</td>\n",
       "      <td>-1.102807</td>\n",
       "      <td>4.470787</td>\n",
       "      <td>6.081955</td>\n",
       "      <td>-4.033566</td>\n",
       "      <td>5.428592</td>\n",
       "      <td>-4.824644</td>\n",
       "      <td>-0.580772</td>\n",
       "      <td>...</td>\n",
       "      <td>211</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urban ladder</th>\n",
       "      <td>-23.278412</td>\n",
       "      <td>20.084827</td>\n",
       "      <td>-10.321380</td>\n",
       "      <td>-36.128044</td>\n",
       "      <td>10.000354</td>\n",
       "      <td>0.482300</td>\n",
       "      <td>-38.769245</td>\n",
       "      <td>22.210110</td>\n",
       "      <td>-45.997177</td>\n",
       "      <td>-58.080551</td>\n",
       "      <td>...</td>\n",
       "      <td>768</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>4.01</td>\n",
       "      <td>22</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>19.250000</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urbanspoon</th>\n",
       "      <td>2.043467</td>\n",
       "      <td>5.685841</td>\n",
       "      <td>-1.254167</td>\n",
       "      <td>-12.335932</td>\n",
       "      <td>-1.799038</td>\n",
       "      <td>-9.384521</td>\n",
       "      <td>-6.613635</td>\n",
       "      <td>-0.484111</td>\n",
       "      <td>-7.414748</td>\n",
       "      <td>-9.321905</td>\n",
       "      <td>...</td>\n",
       "      <td>184</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vauntz</th>\n",
       "      <td>-2.754849</td>\n",
       "      <td>-3.960474</td>\n",
       "      <td>-0.627108</td>\n",
       "      <td>2.907135</td>\n",
       "      <td>0.809016</td>\n",
       "      <td>-0.435401</td>\n",
       "      <td>1.405512</td>\n",
       "      <td>2.691660</td>\n",
       "      <td>-3.027304</td>\n",
       "      <td>-1.268830</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vserv</th>\n",
       "      <td>11.020424</td>\n",
       "      <td>3.129168</td>\n",
       "      <td>-7.730803</td>\n",
       "      <td>-32.508427</td>\n",
       "      <td>42.503853</td>\n",
       "      <td>-10.930392</td>\n",
       "      <td>-12.867811</td>\n",
       "      <td>19.468641</td>\n",
       "      <td>-34.540142</td>\n",
       "      <td>-53.926708</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webengage</th>\n",
       "      <td>5.019986</td>\n",
       "      <td>6.040377</td>\n",
       "      <td>-7.242947</td>\n",
       "      <td>1.924371</td>\n",
       "      <td>4.815917</td>\n",
       "      <td>6.018774</td>\n",
       "      <td>-8.205339</td>\n",
       "      <td>15.783203</td>\n",
       "      <td>-13.338528</td>\n",
       "      <td>-7.906737</td>\n",
       "      <td>...</td>\n",
       "      <td>44</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.616667</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wittyfeed</th>\n",
       "      <td>-1.323375</td>\n",
       "      <td>-0.151450</td>\n",
       "      <td>2.016054</td>\n",
       "      <td>-0.106077</td>\n",
       "      <td>0.207411</td>\n",
       "      <td>-0.493594</td>\n",
       "      <td>-1.726994</td>\n",
       "      <td>-0.851867</td>\n",
       "      <td>-1.000113</td>\n",
       "      <td>0.477320</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>40</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>witworks</th>\n",
       "      <td>0.451338</td>\n",
       "      <td>0.916783</td>\n",
       "      <td>-0.991040</td>\n",
       "      <td>0.372516</td>\n",
       "      <td>-2.342694</td>\n",
       "      <td>-0.376575</td>\n",
       "      <td>-0.256876</td>\n",
       "      <td>-0.104136</td>\n",
       "      <td>-1.487626</td>\n",
       "      <td>-1.086169</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>37</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zepper</th>\n",
       "      <td>1.886805</td>\n",
       "      <td>3.146605</td>\n",
       "      <td>-2.079390</td>\n",
       "      <td>-1.926615</td>\n",
       "      <td>3.006999</td>\n",
       "      <td>3.136124</td>\n",
       "      <td>-2.312749</td>\n",
       "      <td>4.779399</td>\n",
       "      <td>-3.245208</td>\n",
       "      <td>-1.174907</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>0.038</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipdial</th>\n",
       "      <td>7.634697</td>\n",
       "      <td>9.708799</td>\n",
       "      <td>-25.914646</td>\n",
       "      <td>-10.369451</td>\n",
       "      <td>3.266211</td>\n",
       "      <td>-6.014395</td>\n",
       "      <td>-13.084343</td>\n",
       "      <td>11.959442</td>\n",
       "      <td>-18.107550</td>\n",
       "      <td>-4.225071</td>\n",
       "      <td>...</td>\n",
       "      <td>246</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 222 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           0          1          2          3          4  \\\n",
       "adiquity            6.095442  -0.384010   2.118524  -4.573643   6.839830   \n",
       "admagnet           -3.933289   2.611545  -0.514441  -0.904114   6.215644   \n",
       "antuit              1.625175   0.429878   0.096096   0.301241   1.915191   \n",
       "appiterate          3.907047  -1.534492   2.700393 -11.384540   5.987876   \n",
       "appknox            -1.046464   1.908051  -2.508015  -2.203620  -0.506814   \n",
       "babyoye           -16.338200   6.921768  -4.747227  -4.347653   6.425167   \n",
       "backpacker         -0.601401   6.087700  -1.149415 -11.120674   2.032969   \n",
       "bankbazaar         -0.163614   7.085605  -2.502302  -8.732586   2.096336   \n",
       "burrp               5.495484   1.698862 -23.806908 -27.452366   9.497677   \n",
       "cardekho          -17.984728   1.071310  -2.409578  -7.787544  18.128227   \n",
       "carwale            -3.964241   2.543842  -6.703001  -1.019585   4.835114   \n",
       "cloudboost          0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "croak               0.461661   3.649892   0.454177   0.294882   0.627966   \n",
       "delhivery          -6.484064   5.638927  -5.288878 -11.799816  10.015519   \n",
       "deskaway            1.869457   1.021696  -5.792532  -4.629005   4.329287   \n",
       "doowup             -0.699117   0.392555   1.067545  -0.378546   1.477073   \n",
       "eventifier         -1.154010   7.880155  -4.850804 -11.415249   6.274510   \n",
       "exotel             -3.930588  18.395533  -2.082319  -4.737268   6.466765   \n",
       "explara             7.970877   0.684339 -10.764871 -15.320891   3.849942   \n",
       "firstcry          -11.850974  10.299588   2.089837 -13.286595   9.085392   \n",
       "fitho              -2.474134   5.495753  -0.387060  -1.239158   5.629352   \n",
       "fractal analytics  -2.823113  33.199799   1.549003 -33.649227  25.330534   \n",
       "freecharge          3.597401  52.130402 -24.100756 -41.352161  42.871689   \n",
       "freshdesk         -16.430304  35.118782  -3.549697 -41.873310  53.246151   \n",
       "frilp              -1.151562   2.710439   3.608341   1.043951   5.080792   \n",
       "fugenx              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "gapoon             -1.583410   2.180373  -0.175175   0.030742   2.327065   \n",
       "grofer              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "hackerrank          2.552086   1.260625  -1.465116  -4.447367   3.449926   \n",
       "heckyl             -7.236139  14.407660   2.982007 -11.158109   3.694097   \n",
       "...                      ...        ...        ...        ...        ...   \n",
       "qikpod             -3.119015  -0.827467  -2.724632  -1.718791   0.238966   \n",
       "quikr             -10.826462  26.537275 -24.552294 -22.302517  38.226585   \n",
       "realty compass     -3.842483   8.949987 -10.330401  -2.973278   9.349569   \n",
       "redbus             -3.569272  73.627350 -36.561203 -70.143646  54.341896   \n",
       "rivigo             -2.183823   1.584446  -0.846849  -2.051002   2.116416   \n",
       "saavn              -5.235900 -23.060148  -2.728161 -30.869228  16.434454   \n",
       "shifu              -1.383369   5.865006  -4.691152  -3.947389   5.555596   \n",
       "shopclues         -15.647841   4.490108   0.317728 -41.388882  28.799631   \n",
       "shopify             3.013701   2.599466  -6.759743 -13.190031  11.517054   \n",
       "supportbee         -0.596484   0.782888  -1.910029  -4.652853   1.586191   \n",
       "tastykhana          2.077874   9.433743  -6.038105 -10.199275   5.004033   \n",
       "taxiforsure         1.912135  88.859268 -69.104889 -67.006538  54.766811   \n",
       "threadsol           0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "thrill             -1.132009   3.253110  -0.214570   0.335911  -0.131822   \n",
       "tinyowl            -4.431743  18.449514   2.727070 -35.193485   0.886056   \n",
       "tommyjams           0.816089  -0.009694  -1.934659  -1.961817   1.317881   \n",
       "tookitaki           1.948866  -0.753259   2.820761  -1.959452   3.516385   \n",
       "toppr              -8.631380   7.275991   7.785040  -2.642117  -1.866633   \n",
       "townrush           -1.775603   1.123587   1.141165  -3.260168   1.422360   \n",
       "unicommerce        -1.099576  -6.519916   3.321749   0.061808   2.748689   \n",
       "unmetric            0.507467   2.756223   2.344909  -1.102807   4.470787   \n",
       "urban ladder      -23.278412  20.084827 -10.321380 -36.128044  10.000354   \n",
       "urbanspoon          2.043467   5.685841  -1.254167 -12.335932  -1.799038   \n",
       "vauntz             -2.754849  -3.960474  -0.627108   2.907135   0.809016   \n",
       "vserv              11.020424   3.129168  -7.730803 -32.508427  42.503853   \n",
       "webengage           5.019986   6.040377  -7.242947   1.924371   4.815917   \n",
       "wittyfeed          -1.323375  -0.151450   2.016054  -0.106077   0.207411   \n",
       "witworks            0.451338   0.916783  -0.991040   0.372516  -2.342694   \n",
       "zepper              1.886805   3.146605  -2.079390  -1.926615   3.006999   \n",
       "zipdial             7.634697   9.708799 -25.914646 -10.369451   3.266211   \n",
       "\n",
       "                           5          6          7          8          9  \\\n",
       "adiquity           -2.016322   5.056114   6.154154  -9.471286  -5.369165   \n",
       "admagnet           -3.834968  -1.220984   2.364998  -2.254915  -3.083751   \n",
       "antuit             -1.149361  -2.790197  -0.759947   0.066572  -0.178925   \n",
       "appiterate         -0.926288   0.490440  16.426630  -6.743738  -5.010009   \n",
       "appknox            -1.354483   3.341947   1.689208  -5.112165  -1.051153   \n",
       "babyoye             6.225708 -18.164024   4.765369  -9.211883 -14.280066   \n",
       "backpacker          5.833905 -14.090513  -0.619183 -12.477149 -17.415644   \n",
       "bankbazaar          5.765410   0.949310   4.786913   8.461727 -12.956447   \n",
       "burrp             -28.374470 -23.287617   1.640384 -37.933071 -59.795544   \n",
       "cardekho            0.540441 -29.916143  19.256432 -17.724581 -15.920527   \n",
       "carwale            -2.427643  -5.910921   0.476948 -11.051591  -4.392192   \n",
       "cloudboost          0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "croak              -2.053219   0.955017   0.860097  -1.689868  -0.988847   \n",
       "delhivery           7.080872 -11.173186  12.037066 -13.216895  -6.480239   \n",
       "deskaway           -0.328624   2.514902   0.117025  -8.124866  -3.503215   \n",
       "doowup             -1.625135  -1.823454   3.443221  -1.976434   1.649505   \n",
       "eventifier          1.623399  -1.291752   2.200829  -3.231271  -3.913147   \n",
       "exotel            -12.079530   3.232724   5.411754  -8.907711 -12.104525   \n",
       "explara             2.058669  -3.693429  -9.275299 -11.948338  -4.119132   \n",
       "firstcry            3.570561 -22.375460  11.798750  -8.689727 -20.263874   \n",
       "fitho              -2.974453   1.361069  -0.827508  -1.646685  -8.541999   \n",
       "fractal analytics  -3.414039 -25.974060  19.698103 -46.427261 -41.618721   \n",
       "freecharge          7.878109 -32.213673  28.787125 -81.789398 -21.570417   \n",
       "freshdesk         -16.363462 -30.356689  15.972484 -65.486046 -43.481369   \n",
       "frilp              -1.864509  -2.933479  -0.165587  -1.223536   0.057224   \n",
       "fugenx              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "gapoon             -0.200555  -1.562945   0.236554  -2.256202  -0.344706   \n",
       "grofer              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "hackerrank          0.713075  -2.889284  -1.846456  -7.076140  -7.575149   \n",
       "heckyl            -11.267441  -6.596227  -0.866313  -9.224508 -10.077786   \n",
       "...                      ...        ...        ...        ...        ...   \n",
       "qikpod              1.712041  -0.399791   1.383713  -3.185616   1.300671   \n",
       "quikr              14.979356 -57.950653  39.693878 -62.687248 -53.617271   \n",
       "realty compass      2.882993  -5.274334   6.763806 -17.778679 -15.608597   \n",
       "redbus             16.303637  -9.650764  43.656532 -70.396378 -67.011093   \n",
       "rivigo              2.831296  -4.117532  -0.405983  -2.802412  -0.873654   \n",
       "saavn             -16.572685  -2.555189  37.904694 -60.884747 -44.214699   \n",
       "shifu               0.989233   4.543633  10.515245 -11.762891  -6.152539   \n",
       "shopclues          -2.027576 -43.195995  37.418362 -41.640610 -39.338223   \n",
       "shopify             1.844417 -11.237847   8.370359 -22.686089  -5.678387   \n",
       "supportbee          0.949651   1.503365   2.315379  -0.056764  -2.211119   \n",
       "tastykhana         -2.020121  -4.581500   7.207932  -7.472323 -17.327682   \n",
       "taxiforsure        32.202000 -32.882370  57.554367 -33.614029 -40.025150   \n",
       "threadsol           0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "thrill             -3.242283  -1.188352   1.027914  -2.630375  -9.485107   \n",
       "tinyowl            -9.382411  -4.421027   7.034420 -34.365322 -37.362846   \n",
       "tommyjams           3.247205   0.690741   0.057547  -4.402375  -2.103212   \n",
       "tookitaki          -1.118954  -5.560950  -0.564683  -2.817444  -3.143879   \n",
       "toppr              -3.770892  -5.937941   2.989386 -15.694386  -2.889388   \n",
       "townrush            4.974627  -0.495563  -2.069747  -4.611412  -3.966743   \n",
       "unicommerce         0.002191  -1.908865   3.416794  -4.560795  -1.773987   \n",
       "unmetric            6.081955  -4.033566   5.428592  -4.824644  -0.580772   \n",
       "urban ladder        0.482300 -38.769245  22.210110 -45.997177 -58.080551   \n",
       "urbanspoon         -9.384521  -6.613635  -0.484111  -7.414748  -9.321905   \n",
       "vauntz             -0.435401   1.405512   2.691660  -3.027304  -1.268830   \n",
       "vserv             -10.930392 -12.867811  19.468641 -34.540142 -53.926708   \n",
       "webengage           6.018774  -8.205339  15.783203 -13.338528  -7.906737   \n",
       "wittyfeed          -0.493594  -1.726994  -0.851867  -1.000113   0.477320   \n",
       "witworks           -0.376575  -0.256876  -0.104136  -1.487626  -1.086169   \n",
       "zepper              3.136124  -2.312749   4.779399  -3.245208  -1.174907   \n",
       "zipdial            -6.014395 -13.084343  11.959442 -18.107550  -4.225071   \n",
       "\n",
       "                    ...    owl_nfollow  pro_comp  revenue  twiiter  n_mn  \\\n",
       "adiquity            ...             62       100        1      0.8     7   \n",
       "admagnet            ...              0        45        1     0.63     3   \n",
       "antuit              ...             24       100        1     0.01     1   \n",
       "appiterate          ...            100       100        1      0.1     3   \n",
       "appknox             ...             29        52        1      0.8     1   \n",
       "babyoye             ...            182        95        5        2     6   \n",
       "backpacker          ...              3       100        1     1.34     0   \n",
       "bankbazaar          ...            757       100       10    11.59     5   \n",
       "burrp               ...            590        95        5      276    14   \n",
       "cardekho            ...            849       100       30       13    11   \n",
       "carwale             ...            681       100        5       17     6   \n",
       "cloudboost          ...              3        50      0.3      0.3     0   \n",
       "croak               ...             10        50        1      2.2     0   \n",
       "delhivery           ...            878       100       10     1.05     9   \n",
       "deskaway            ...              4        55      0.5        0     0   \n",
       "doowup              ...             14        81        1        0     0   \n",
       "eventifier          ...             65       100        1        2     3   \n",
       "exotel              ...            248       100        1     1.75     3   \n",
       "explara             ...            154        95        1      3.7     6   \n",
       "firstcry            ...            204        94       10        2     9   \n",
       "fitho               ...             51        95        1        3     5   \n",
       "fractal analytics   ...            675       100       30      1.9    10   \n",
       "freecharge          ...           1360       100        5       58    34   \n",
       "freshdesk           ...            655       100       10       14     9   \n",
       "frilp               ...             21        97        1      0.2     2   \n",
       "fugenx              ...             21        95        2     0.21     0   \n",
       "gapoon              ...           1759       100        1      0.1     0   \n",
       "grofer              ...           5194       100       20    10.57     0   \n",
       "hackerrank          ...            186       100        1     9.76     1   \n",
       "heckyl              ...             39        83        1      0.4     1   \n",
       "...                 ...            ...       ...      ...      ...   ...   \n",
       "qikpod              ...              2        93        1        0     1   \n",
       "quikr               ...            725       100       30    26.47    41   \n",
       "realty compass      ...             93        93        1     3.82     4   \n",
       "redbus              ...            533       100      125      4.8    27   \n",
       "rivigo              ...             41        81        1        0     1   \n",
       "saavn               ...            125        97    30000    51.69    37   \n",
       "shifu               ...              6        81        1      0.1     2   \n",
       "shopclues           ...           1785       100       40    33.13    24   \n",
       "shopify             ...            579       100      149      185     7   \n",
       "supportbee          ...              6        30      0.6     0.21     0   \n",
       "tastykhana          ...           3290       100        5        3     3   \n",
       "taxiforsure         ...            743       100       20       16    26   \n",
       "threadsol           ...            103        74        1      0.4     0   \n",
       "thrill              ...             54        95      1.5     0.44     1   \n",
       "tinyowl             ...           4407       100        1        4    12   \n",
       "tommyjams           ...              0        50        1        0     1   \n",
       "tookitaki           ...             31       100        1      0.8     3   \n",
       "toppr               ...            544       100      200        1     3   \n",
       "townrush            ...            509       100        1        0     2   \n",
       "unicommerce         ...            442       100        1     1.47     1   \n",
       "unmetric            ...            211       100        5      4.8     2   \n",
       "urban ladder        ...            768       100        5     4.01    22   \n",
       "urbanspoon          ...            184       100       30        0     2   \n",
       "vauntz              ...              0        40      0.5        0     1   \n",
       "vserv               ...             20        79        1     2.02    42   \n",
       "webengage           ...             44        93        1      1.2     3   \n",
       "wittyfeed           ...              3        40      0.3      0.3     0   \n",
       "witworks            ...              3        37      0.2      0.3     0   \n",
       "zepper              ...              0        56        1    0.038     1   \n",
       "zipdial             ...            246       100        1        9    10   \n",
       "\n",
       "                   n_nbw  n_vc  n_ys    fund_avg  months  \n",
       "adiquity               6     1     2    7.500000     129  \n",
       "admagnet               1     0     0    0.000000     102  \n",
       "antuit                 0     1     0   29.500000      44  \n",
       "appiterate             5     1     5    0.500000      44  \n",
       "appknox                0     0     2    0.250000      32  \n",
       "babyoye                5     1     2    2.500000      76  \n",
       "backpacker             2     0     9    0.000000     117  \n",
       "bankbazaar             4     0     4   26.333333      99  \n",
       "burrp                 26     0     1    2.150000      18  \n",
       "cardekho              11     3     6   32.500000     142  \n",
       "carwale                4     1     1    7.000000     142  \n",
       "cloudboost             0     0     0    0.000000      32  \n",
       "croak                  0     2     0    0.400000      56  \n",
       "delhivery              7     0     5   31.875000      68  \n",
       "deskaway               4     0     2    0.000000     117  \n",
       "doowup                 1     0     1    0.000000      32  \n",
       "eventifier             4     1     1    1.250000      56  \n",
       "exotel                 9     2     1    0.500000      68  \n",
       "explara                9     1     1    0.500000     105  \n",
       "firstcry               8     0     1   15.583333      81  \n",
       "fitho                  2     1     1    0.000000      59  \n",
       "fractal analytics     14    16    19   25.000000     202  \n",
       "freecharge            24     2    21   56.500000      81  \n",
       "freshdesk             26     3    33   15.833333      81  \n",
       "frilp                  1     1     0    0.500000      43  \n",
       "fugenx                 0     0     0    0.000000      95  \n",
       "gapoon                 1     0     1  178.000000      18  \n",
       "grofer                 0     0     0   55.166667      32  \n",
       "hackerrank             4     0     2    4.975000      50  \n",
       "heckyl                 1     0    11    1.583333      81  \n",
       "...                  ...   ...   ...         ...     ...  \n",
       "qikpod                 1     0     0    9.000000      20  \n",
       "quikr                 31     6     7   57.666667     105  \n",
       "realty compass         2     6     5    1.500000      56  \n",
       "redbus                45     0     8    2.773333     129  \n",
       "rivigo                 1     0     2   30.000000      32  \n",
       "saavn                 12     0     1   36.666667     117  \n",
       "shifu                  3     1     2    0.000000      56  \n",
       "shopclues             19     0    15   19.464286      68  \n",
       "shopify                7     0     2   40.666667     149  \n",
       "supportbee             2     0     0    0.120000      72  \n",
       "tastykhana             4     0     3    5.000000     117  \n",
       "taxiforsure           33     3    21   14.666667      63  \n",
       "threadsol              0     0     0    0.200000      56  \n",
       "thrill                 4     0     1    1.166667      42  \n",
       "tinyowl               11     0     8    6.875000      32  \n",
       "tommyjams              1     0     1    5.000000      56  \n",
       "tookitaki              1     0     1    0.483333      44  \n",
       "toppr                  3     2     4    3.550000      44  \n",
       "townrush               2     2     0    0.200000      14  \n",
       "unicommerce            3     0     2   10.000000      55  \n",
       "unmetric               5     0     0    4.350000      81  \n",
       "urban ladder          20     0    25   19.250000      50  \n",
       "urbanspoon             2     2     1    0.000000     120  \n",
       "vauntz                 0     1     1    0.000000      44  \n",
       "vserv                  7     0     2    6.000000      81  \n",
       "webengage              8     0     4    0.616667      59  \n",
       "wittyfeed              0     0     1    0.000000      21  \n",
       "witworks               0     0     1    0.000000      29  \n",
       "zepper                 1     1     1    0.000000      32  \n",
       "zipdial               14     0     2    0.600000      79  \n",
       "\n",
       "[105 rows x 222 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for hq in hqs:\n",
    "    features[hq] = (features['hq']==hq).astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>nan</th>\n",
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       "      <th>ban'</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adiquity</th>\n",
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       "      <td>2.118524</td>\n",
       "      <td>-4.573643</td>\n",
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       "      <th>admagnet</th>\n",
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       "      <td>-0.514441</td>\n",
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       "      <th>antuit</th>\n",
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       "      <td>0.429878</td>\n",
       "      <td>0.096096</td>\n",
       "      <td>0.301241</td>\n",
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       "    <tr>\n",
       "      <th>appiterate</th>\n",
       "      <td>3.907047</td>\n",
       "      <td>-1.534492</td>\n",
       "      <td>2.700393</td>\n",
       "      <td>-11.384540</td>\n",
       "      <td>5.987876</td>\n",
       "      <td>-0.926288</td>\n",
       "      <td>0.490440</td>\n",
       "      <td>16.426630</td>\n",
       "      <td>-6.743738</td>\n",
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       "    <tr>\n",
       "      <th>appknox</th>\n",
       "      <td>-1.046464</td>\n",
       "      <td>1.908051</td>\n",
       "      <td>-2.508015</td>\n",
       "      <td>-2.203620</td>\n",
       "      <td>-0.506814</td>\n",
       "      <td>-1.354483</td>\n",
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       "      <td>6.921768</td>\n",
       "      <td>-4.747227</td>\n",
       "      <td>-4.347653</td>\n",
       "      <td>6.425167</td>\n",
       "      <td>6.225708</td>\n",
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       "      <td>6.087700</td>\n",
       "      <td>-1.149415</td>\n",
       "      <td>-11.120674</td>\n",
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       "    <tr>\n",
       "      <th>bankbazaar</th>\n",
       "      <td>-0.163614</td>\n",
       "      <td>7.085605</td>\n",
       "      <td>-2.502302</td>\n",
       "      <td>-8.732586</td>\n",
       "      <td>2.096336</td>\n",
       "      <td>5.765410</td>\n",
       "      <td>0.949310</td>\n",
       "      <td>4.786913</td>\n",
       "      <td>8.461727</td>\n",
       "      <td>-12.956447</td>\n",
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       "    <tr>\n",
       "      <th>burrp</th>\n",
       "      <td>5.495484</td>\n",
       "      <td>1.698862</td>\n",
       "      <td>-23.806908</td>\n",
       "      <td>-27.452366</td>\n",
       "      <td>9.497677</td>\n",
       "      <td>-28.374470</td>\n",
       "      <td>-23.287617</td>\n",
       "      <td>1.640384</td>\n",
       "      <td>-37.933071</td>\n",
       "      <td>-59.795544</td>\n",
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       "    <tr>\n",
       "      <th>cardekho</th>\n",
       "      <td>-17.984728</td>\n",
       "      <td>1.071310</td>\n",
       "      <td>-2.409578</td>\n",
       "      <td>-7.787544</td>\n",
       "      <td>18.128227</td>\n",
       "      <td>0.540441</td>\n",
       "      <td>-29.916143</td>\n",
       "      <td>19.256432</td>\n",
       "      <td>-17.724581</td>\n",
       "      <td>-15.920527</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carwale</th>\n",
       "      <td>-3.964241</td>\n",
       "      <td>2.543842</td>\n",
       "      <td>-6.703001</td>\n",
       "      <td>-1.019585</td>\n",
       "      <td>4.835114</td>\n",
       "      <td>-2.427643</td>\n",
       "      <td>-5.910921</td>\n",
       "      <td>0.476948</td>\n",
       "      <td>-11.051591</td>\n",
       "      <td>-4.392192</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cloudboost</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>croak</th>\n",
       "      <td>0.461661</td>\n",
       "      <td>3.649892</td>\n",
       "      <td>0.454177</td>\n",
       "      <td>0.294882</td>\n",
       "      <td>0.627966</td>\n",
       "      <td>-2.053219</td>\n",
       "      <td>0.955017</td>\n",
       "      <td>0.860097</td>\n",
       "      <td>-1.689868</td>\n",
       "      <td>-0.988847</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delhivery</th>\n",
       "      <td>-6.484064</td>\n",
       "      <td>5.638927</td>\n",
       "      <td>-5.288878</td>\n",
       "      <td>-11.799816</td>\n",
       "      <td>10.015519</td>\n",
       "      <td>7.080872</td>\n",
       "      <td>-11.173186</td>\n",
       "      <td>12.037066</td>\n",
       "      <td>-13.216895</td>\n",
       "      <td>-6.480239</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deskaway</th>\n",
       "      <td>1.869457</td>\n",
       "      <td>1.021696</td>\n",
       "      <td>-5.792532</td>\n",
       "      <td>-4.629005</td>\n",
       "      <td>4.329287</td>\n",
       "      <td>-0.328624</td>\n",
       "      <td>2.514902</td>\n",
       "      <td>0.117025</td>\n",
       "      <td>-8.124866</td>\n",
       "      <td>-3.503215</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doowup</th>\n",
       "      <td>-0.699117</td>\n",
       "      <td>0.392555</td>\n",
       "      <td>1.067545</td>\n",
       "      <td>-0.378546</td>\n",
       "      <td>1.477073</td>\n",
       "      <td>-1.625135</td>\n",
       "      <td>-1.823454</td>\n",
       "      <td>3.443221</td>\n",
       "      <td>-1.976434</td>\n",
       "      <td>1.649505</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eventifier</th>\n",
       "      <td>-1.154010</td>\n",
       "      <td>7.880155</td>\n",
       "      <td>-4.850804</td>\n",
       "      <td>-11.415249</td>\n",
       "      <td>6.274510</td>\n",
       "      <td>1.623399</td>\n",
       "      <td>-1.291752</td>\n",
       "      <td>2.200829</td>\n",
       "      <td>-3.231271</td>\n",
       "      <td>-3.913147</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>exotel</th>\n",
       "      <td>-3.930588</td>\n",
       "      <td>18.395533</td>\n",
       "      <td>-2.082319</td>\n",
       "      <td>-4.737268</td>\n",
       "      <td>6.466765</td>\n",
       "      <td>-12.079530</td>\n",
       "      <td>3.232724</td>\n",
       "      <td>5.411754</td>\n",
       "      <td>-8.907711</td>\n",
       "      <td>-12.104525</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>explara</th>\n",
       "      <td>7.970877</td>\n",
       "      <td>0.684339</td>\n",
       "      <td>-10.764871</td>\n",
       "      <td>-15.320891</td>\n",
       "      <td>3.849942</td>\n",
       "      <td>2.058669</td>\n",
       "      <td>-3.693429</td>\n",
       "      <td>-9.275299</td>\n",
       "      <td>-11.948338</td>\n",
       "      <td>-4.119132</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firstcry</th>\n",
       "      <td>-11.850974</td>\n",
       "      <td>10.299588</td>\n",
       "      <td>2.089837</td>\n",
       "      <td>-13.286595</td>\n",
       "      <td>9.085392</td>\n",
       "      <td>3.570561</td>\n",
       "      <td>-22.375460</td>\n",
       "      <td>11.798750</td>\n",
       "      <td>-8.689727</td>\n",
       "      <td>-20.263874</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitho</th>\n",
       "      <td>-2.474134</td>\n",
       "      <td>5.495753</td>\n",
       "      <td>-0.387060</td>\n",
       "      <td>-1.239158</td>\n",
       "      <td>5.629352</td>\n",
       "      <td>-2.974453</td>\n",
       "      <td>1.361069</td>\n",
       "      <td>-0.827508</td>\n",
       "      <td>-1.646685</td>\n",
       "      <td>-8.541999</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal analytics</th>\n",
       "      <td>-2.823113</td>\n",
       "      <td>33.199799</td>\n",
       "      <td>1.549003</td>\n",
       "      <td>-33.649227</td>\n",
       "      <td>25.330534</td>\n",
       "      <td>-3.414039</td>\n",
       "      <td>-25.974060</td>\n",
       "      <td>19.698103</td>\n",
       "      <td>-46.427261</td>\n",
       "      <td>-41.618721</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freecharge</th>\n",
       "      <td>3.597401</td>\n",
       "      <td>52.130402</td>\n",
       "      <td>-24.100756</td>\n",
       "      <td>-41.352161</td>\n",
       "      <td>42.871689</td>\n",
       "      <td>7.878109</td>\n",
       "      <td>-32.213673</td>\n",
       "      <td>28.787125</td>\n",
       "      <td>-81.789398</td>\n",
       "      <td>-21.570417</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freshdesk</th>\n",
       "      <td>-16.430304</td>\n",
       "      <td>35.118782</td>\n",
       "      <td>-3.549697</td>\n",
       "      <td>-41.873310</td>\n",
       "      <td>53.246151</td>\n",
       "      <td>-16.363462</td>\n",
       "      <td>-30.356689</td>\n",
       "      <td>15.972484</td>\n",
       "      <td>-65.486046</td>\n",
       "      <td>-43.481369</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frilp</th>\n",
       "      <td>-1.151562</td>\n",
       "      <td>2.710439</td>\n",
       "      <td>3.608341</td>\n",
       "      <td>1.043951</td>\n",
       "      <td>5.080792</td>\n",
       "      <td>-1.864509</td>\n",
       "      <td>-2.933479</td>\n",
       "      <td>-0.165587</td>\n",
       "      <td>-1.223536</td>\n",
       "      <td>0.057224</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fugenx</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gapoon</th>\n",
       "      <td>-1.583410</td>\n",
       "      <td>2.180373</td>\n",
       "      <td>-0.175175</td>\n",
       "      <td>0.030742</td>\n",
       "      <td>2.327065</td>\n",
       "      <td>-0.200555</td>\n",
       "      <td>-1.562945</td>\n",
       "      <td>0.236554</td>\n",
       "      <td>-2.256202</td>\n",
       "      <td>-0.344706</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hackerrank</th>\n",
       "      <td>2.552086</td>\n",
       "      <td>1.260625</td>\n",
       "      <td>-1.465116</td>\n",
       "      <td>-4.447367</td>\n",
       "      <td>3.449926</td>\n",
       "      <td>0.713075</td>\n",
       "      <td>-2.889284</td>\n",
       "      <td>-1.846456</td>\n",
       "      <td>-7.076140</td>\n",
       "      <td>-7.575149</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heckyl</th>\n",
       "      <td>-7.236139</td>\n",
       "      <td>14.407660</td>\n",
       "      <td>2.982007</td>\n",
       "      <td>-11.158109</td>\n",
       "      <td>3.694097</td>\n",
       "      <td>-11.267441</td>\n",
       "      <td>-6.596227</td>\n",
       "      <td>-0.866313</td>\n",
       "      <td>-9.224508</td>\n",
       "      <td>-10.077786</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qikpod</th>\n",
       "      <td>-3.119015</td>\n",
       "      <td>-0.827467</td>\n",
       "      <td>-2.724632</td>\n",
       "      <td>-1.718791</td>\n",
       "      <td>0.238966</td>\n",
       "      <td>1.712041</td>\n",
       "      <td>-0.399791</td>\n",
       "      <td>1.383713</td>\n",
       "      <td>-3.185616</td>\n",
       "      <td>1.300671</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quikr</th>\n",
       "      <td>-10.826462</td>\n",
       "      <td>26.537275</td>\n",
       "      <td>-24.552294</td>\n",
       "      <td>-22.302517</td>\n",
       "      <td>38.226585</td>\n",
       "      <td>14.979356</td>\n",
       "      <td>-57.950653</td>\n",
       "      <td>39.693878</td>\n",
       "      <td>-62.687248</td>\n",
       "      <td>-53.617271</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>realty compass</th>\n",
       "      <td>-3.842483</td>\n",
       "      <td>8.949987</td>\n",
       "      <td>-10.330401</td>\n",
       "      <td>-2.973278</td>\n",
       "      <td>9.349569</td>\n",
       "      <td>2.882993</td>\n",
       "      <td>-5.274334</td>\n",
       "      <td>6.763806</td>\n",
       "      <td>-17.778679</td>\n",
       "      <td>-15.608597</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbus</th>\n",
       "      <td>-3.569272</td>\n",
       "      <td>73.627350</td>\n",
       "      <td>-36.561203</td>\n",
       "      <td>-70.143646</td>\n",
       "      <td>54.341896</td>\n",
       "      <td>16.303637</td>\n",
       "      <td>-9.650764</td>\n",
       "      <td>43.656532</td>\n",
       "      <td>-70.396378</td>\n",
       "      <td>-67.011093</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rivigo</th>\n",
       "      <td>-2.183823</td>\n",
       "      <td>1.584446</td>\n",
       "      <td>-0.846849</td>\n",
       "      <td>-2.051002</td>\n",
       "      <td>2.116416</td>\n",
       "      <td>2.831296</td>\n",
       "      <td>-4.117532</td>\n",
       "      <td>-0.405983</td>\n",
       "      <td>-2.802412</td>\n",
       "      <td>-0.873654</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saavn</th>\n",
       "      <td>-5.235900</td>\n",
       "      <td>-23.060148</td>\n",
       "      <td>-2.728161</td>\n",
       "      <td>-30.869228</td>\n",
       "      <td>16.434454</td>\n",
       "      <td>-16.572685</td>\n",
       "      <td>-2.555189</td>\n",
       "      <td>37.904694</td>\n",
       "      <td>-60.884747</td>\n",
       "      <td>-44.214699</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shifu</th>\n",
       "      <td>-1.383369</td>\n",
       "      <td>5.865006</td>\n",
       "      <td>-4.691152</td>\n",
       "      <td>-3.947389</td>\n",
       "      <td>5.555596</td>\n",
       "      <td>0.989233</td>\n",
       "      <td>4.543633</td>\n",
       "      <td>10.515245</td>\n",
       "      <td>-11.762891</td>\n",
       "      <td>-6.152539</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopclues</th>\n",
       "      <td>-15.647841</td>\n",
       "      <td>4.490108</td>\n",
       "      <td>0.317728</td>\n",
       "      <td>-41.388882</td>\n",
       "      <td>28.799631</td>\n",
       "      <td>-2.027576</td>\n",
       "      <td>-43.195995</td>\n",
       "      <td>37.418362</td>\n",
       "      <td>-41.640610</td>\n",
       "      <td>-39.338223</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopify</th>\n",
       "      <td>3.013701</td>\n",
       "      <td>2.599466</td>\n",
       "      <td>-6.759743</td>\n",
       "      <td>-13.190031</td>\n",
       "      <td>11.517054</td>\n",
       "      <td>1.844417</td>\n",
       "      <td>-11.237847</td>\n",
       "      <td>8.370359</td>\n",
       "      <td>-22.686089</td>\n",
       "      <td>-5.678387</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supportbee</th>\n",
       "      <td>-0.596484</td>\n",
       "      <td>0.782888</td>\n",
       "      <td>-1.910029</td>\n",
       "      <td>-4.652853</td>\n",
       "      <td>1.586191</td>\n",
       "      <td>0.949651</td>\n",
       "      <td>1.503365</td>\n",
       "      <td>2.315379</td>\n",
       "      <td>-0.056764</td>\n",
       "      <td>-2.211119</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tastykhana</th>\n",
       "      <td>2.077874</td>\n",
       "      <td>9.433743</td>\n",
       "      <td>-6.038105</td>\n",
       "      <td>-10.199275</td>\n",
       "      <td>5.004033</td>\n",
       "      <td>-2.020121</td>\n",
       "      <td>-4.581500</td>\n",
       "      <td>7.207932</td>\n",
       "      <td>-7.472323</td>\n",
       "      <td>-17.327682</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxiforsure</th>\n",
       "      <td>1.912135</td>\n",
       "      <td>88.859268</td>\n",
       "      <td>-69.104889</td>\n",
       "      <td>-67.006538</td>\n",
       "      <td>54.766811</td>\n",
       "      <td>32.202000</td>\n",
       "      <td>-32.882370</td>\n",
       "      <td>57.554367</td>\n",
       "      <td>-33.614029</td>\n",
       "      <td>-40.025150</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>threadsol</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thrill</th>\n",
       "      <td>-1.132009</td>\n",
       "      <td>3.253110</td>\n",
       "      <td>-0.214570</td>\n",
       "      <td>0.335911</td>\n",
       "      <td>-0.131822</td>\n",
       "      <td>-3.242283</td>\n",
       "      <td>-1.188352</td>\n",
       "      <td>1.027914</td>\n",
       "      <td>-2.630375</td>\n",
       "      <td>-9.485107</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tinyowl</th>\n",
       "      <td>-4.431743</td>\n",
       "      <td>18.449514</td>\n",
       "      <td>2.727070</td>\n",
       "      <td>-35.193485</td>\n",
       "      <td>0.886056</td>\n",
       "      <td>-9.382411</td>\n",
       "      <td>-4.421027</td>\n",
       "      <td>7.034420</td>\n",
       "      <td>-34.365322</td>\n",
       "      <td>-37.362846</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tommyjams</th>\n",
       "      <td>0.816089</td>\n",
       "      <td>-0.009694</td>\n",
       "      <td>-1.934659</td>\n",
       "      <td>-1.961817</td>\n",
       "      <td>1.317881</td>\n",
       "      <td>3.247205</td>\n",
       "      <td>0.690741</td>\n",
       "      <td>0.057547</td>\n",
       "      <td>-4.402375</td>\n",
       "      <td>-2.103212</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tookitaki</th>\n",
       "      <td>1.948866</td>\n",
       "      <td>-0.753259</td>\n",
       "      <td>2.820761</td>\n",
       "      <td>-1.959452</td>\n",
       "      <td>3.516385</td>\n",
       "      <td>-1.118954</td>\n",
       "      <td>-5.560950</td>\n",
       "      <td>-0.564683</td>\n",
       "      <td>-2.817444</td>\n",
       "      <td>-3.143879</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toppr</th>\n",
       "      <td>-8.631380</td>\n",
       "      <td>7.275991</td>\n",
       "      <td>7.785040</td>\n",
       "      <td>-2.642117</td>\n",
       "      <td>-1.866633</td>\n",
       "      <td>-3.770892</td>\n",
       "      <td>-5.937941</td>\n",
       "      <td>2.989386</td>\n",
       "      <td>-15.694386</td>\n",
       "      <td>-2.889388</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>townrush</th>\n",
       "      <td>-1.775603</td>\n",
       "      <td>1.123587</td>\n",
       "      <td>1.141165</td>\n",
       "      <td>-3.260168</td>\n",
       "      <td>1.422360</td>\n",
       "      <td>4.974627</td>\n",
       "      <td>-0.495563</td>\n",
       "      <td>-2.069747</td>\n",
       "      <td>-4.611412</td>\n",
       "      <td>-3.966743</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unicommerce</th>\n",
       "      <td>-1.099576</td>\n",
       "      <td>-6.519916</td>\n",
       "      <td>3.321749</td>\n",
       "      <td>0.061808</td>\n",
       "      <td>2.748689</td>\n",
       "      <td>0.002191</td>\n",
       "      <td>-1.908865</td>\n",
       "      <td>3.416794</td>\n",
       "      <td>-4.560795</td>\n",
       "      <td>-1.773987</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unmetric</th>\n",
       "      <td>0.507467</td>\n",
       "      <td>2.756223</td>\n",
       "      <td>2.344909</td>\n",
       "      <td>-1.102807</td>\n",
       "      <td>4.470787</td>\n",
       "      <td>6.081955</td>\n",
       "      <td>-4.033566</td>\n",
       "      <td>5.428592</td>\n",
       "      <td>-4.824644</td>\n",
       "      <td>-0.580772</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urban ladder</th>\n",
       "      <td>-23.278412</td>\n",
       "      <td>20.084827</td>\n",
       "      <td>-10.321380</td>\n",
       "      <td>-36.128044</td>\n",
       "      <td>10.000354</td>\n",
       "      <td>0.482300</td>\n",
       "      <td>-38.769245</td>\n",
       "      <td>22.210110</td>\n",
       "      <td>-45.997177</td>\n",
       "      <td>-58.080551</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urbanspoon</th>\n",
       "      <td>2.043467</td>\n",
       "      <td>5.685841</td>\n",
       "      <td>-1.254167</td>\n",
       "      <td>-12.335932</td>\n",
       "      <td>-1.799038</td>\n",
       "      <td>-9.384521</td>\n",
       "      <td>-6.613635</td>\n",
       "      <td>-0.484111</td>\n",
       "      <td>-7.414748</td>\n",
       "      <td>-9.321905</td>\n",
       "      <td>...</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vauntz</th>\n",
       "      <td>-2.754849</td>\n",
       "      <td>-3.960474</td>\n",
       "      <td>-0.627108</td>\n",
       "      <td>2.907135</td>\n",
       "      <td>0.809016</td>\n",
       "      <td>-0.435401</td>\n",
       "      <td>1.405512</td>\n",
       "      <td>2.691660</td>\n",
       "      <td>-3.027304</td>\n",
       "      <td>-1.268830</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vserv</th>\n",
       "      <td>11.020424</td>\n",
       "      <td>3.129168</td>\n",
       "      <td>-7.730803</td>\n",
       "      <td>-32.508427</td>\n",
       "      <td>42.503853</td>\n",
       "      <td>-10.930392</td>\n",
       "      <td>-12.867811</td>\n",
       "      <td>19.468641</td>\n",
       "      <td>-34.540142</td>\n",
       "      <td>-53.926708</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webengage</th>\n",
       "      <td>5.019986</td>\n",
       "      <td>6.040377</td>\n",
       "      <td>-7.242947</td>\n",
       "      <td>1.924371</td>\n",
       "      <td>4.815917</td>\n",
       "      <td>6.018774</td>\n",
       "      <td>-8.205339</td>\n",
       "      <td>15.783203</td>\n",
       "      <td>-13.338528</td>\n",
       "      <td>-7.906737</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wittyfeed</th>\n",
       "      <td>-1.323375</td>\n",
       "      <td>-0.151450</td>\n",
       "      <td>2.016054</td>\n",
       "      <td>-0.106077</td>\n",
       "      <td>0.207411</td>\n",
       "      <td>-0.493594</td>\n",
       "      <td>-1.726994</td>\n",
       "      <td>-0.851867</td>\n",
       "      <td>-1.000113</td>\n",
       "      <td>0.477320</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>witworks</th>\n",
       "      <td>0.451338</td>\n",
       "      <td>0.916783</td>\n",
       "      <td>-0.991040</td>\n",
       "      <td>0.372516</td>\n",
       "      <td>-2.342694</td>\n",
       "      <td>-0.376575</td>\n",
       "      <td>-0.256876</td>\n",
       "      <td>-0.104136</td>\n",
       "      <td>-1.487626</td>\n",
       "      <td>-1.086169</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zepper</th>\n",
       "      <td>1.886805</td>\n",
       "      <td>3.146605</td>\n",
       "      <td>-2.079390</td>\n",
       "      <td>-1.926615</td>\n",
       "      <td>3.006999</td>\n",
       "      <td>3.136124</td>\n",
       "      <td>-2.312749</td>\n",
       "      <td>4.779399</td>\n",
       "      <td>-3.245208</td>\n",
       "      <td>-1.174907</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipdial</th>\n",
       "      <td>7.634697</td>\n",
       "      <td>9.708799</td>\n",
       "      <td>-25.914646</td>\n",
       "      <td>-10.369451</td>\n",
       "      <td>3.266211</td>\n",
       "      <td>-6.014395</td>\n",
       "      <td>-13.084343</td>\n",
       "      <td>11.959442</td>\n",
       "      <td>-18.107550</td>\n",
       "      <td>-4.225071</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 233 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           0          1          2          3          4  \\\n",
       "adiquity            6.095442  -0.384010   2.118524  -4.573643   6.839830   \n",
       "admagnet           -3.933289   2.611545  -0.514441  -0.904114   6.215644   \n",
       "antuit              1.625175   0.429878   0.096096   0.301241   1.915191   \n",
       "appiterate          3.907047  -1.534492   2.700393 -11.384540   5.987876   \n",
       "appknox            -1.046464   1.908051  -2.508015  -2.203620  -0.506814   \n",
       "babyoye           -16.338200   6.921768  -4.747227  -4.347653   6.425167   \n",
       "backpacker         -0.601401   6.087700  -1.149415 -11.120674   2.032969   \n",
       "bankbazaar         -0.163614   7.085605  -2.502302  -8.732586   2.096336   \n",
       "burrp               5.495484   1.698862 -23.806908 -27.452366   9.497677   \n",
       "cardekho          -17.984728   1.071310  -2.409578  -7.787544  18.128227   \n",
       "carwale            -3.964241   2.543842  -6.703001  -1.019585   4.835114   \n",
       "cloudboost          0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "croak               0.461661   3.649892   0.454177   0.294882   0.627966   \n",
       "delhivery          -6.484064   5.638927  -5.288878 -11.799816  10.015519   \n",
       "deskaway            1.869457   1.021696  -5.792532  -4.629005   4.329287   \n",
       "doowup             -0.699117   0.392555   1.067545  -0.378546   1.477073   \n",
       "eventifier         -1.154010   7.880155  -4.850804 -11.415249   6.274510   \n",
       "exotel             -3.930588  18.395533  -2.082319  -4.737268   6.466765   \n",
       "explara             7.970877   0.684339 -10.764871 -15.320891   3.849942   \n",
       "firstcry          -11.850974  10.299588   2.089837 -13.286595   9.085392   \n",
       "fitho              -2.474134   5.495753  -0.387060  -1.239158   5.629352   \n",
       "fractal analytics  -2.823113  33.199799   1.549003 -33.649227  25.330534   \n",
       "freecharge          3.597401  52.130402 -24.100756 -41.352161  42.871689   \n",
       "freshdesk         -16.430304  35.118782  -3.549697 -41.873310  53.246151   \n",
       "frilp              -1.151562   2.710439   3.608341   1.043951   5.080792   \n",
       "fugenx              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "gapoon             -1.583410   2.180373  -0.175175   0.030742   2.327065   \n",
       "grofer              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "hackerrank          2.552086   1.260625  -1.465116  -4.447367   3.449926   \n",
       "heckyl             -7.236139  14.407660   2.982007 -11.158109   3.694097   \n",
       "...                      ...        ...        ...        ...        ...   \n",
       "qikpod             -3.119015  -0.827467  -2.724632  -1.718791   0.238966   \n",
       "quikr             -10.826462  26.537275 -24.552294 -22.302517  38.226585   \n",
       "realty compass     -3.842483   8.949987 -10.330401  -2.973278   9.349569   \n",
       "redbus             -3.569272  73.627350 -36.561203 -70.143646  54.341896   \n",
       "rivigo             -2.183823   1.584446  -0.846849  -2.051002   2.116416   \n",
       "saavn              -5.235900 -23.060148  -2.728161 -30.869228  16.434454   \n",
       "shifu              -1.383369   5.865006  -4.691152  -3.947389   5.555596   \n",
       "shopclues         -15.647841   4.490108   0.317728 -41.388882  28.799631   \n",
       "shopify             3.013701   2.599466  -6.759743 -13.190031  11.517054   \n",
       "supportbee         -0.596484   0.782888  -1.910029  -4.652853   1.586191   \n",
       "tastykhana          2.077874   9.433743  -6.038105 -10.199275   5.004033   \n",
       "taxiforsure         1.912135  88.859268 -69.104889 -67.006538  54.766811   \n",
       "threadsol           0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "thrill             -1.132009   3.253110  -0.214570   0.335911  -0.131822   \n",
       "tinyowl            -4.431743  18.449514   2.727070 -35.193485   0.886056   \n",
       "tommyjams           0.816089  -0.009694  -1.934659  -1.961817   1.317881   \n",
       "tookitaki           1.948866  -0.753259   2.820761  -1.959452   3.516385   \n",
       "toppr              -8.631380   7.275991   7.785040  -2.642117  -1.866633   \n",
       "townrush           -1.775603   1.123587   1.141165  -3.260168   1.422360   \n",
       "unicommerce        -1.099576  -6.519916   3.321749   0.061808   2.748689   \n",
       "unmetric            0.507467   2.756223   2.344909  -1.102807   4.470787   \n",
       "urban ladder      -23.278412  20.084827 -10.321380 -36.128044  10.000354   \n",
       "urbanspoon          2.043467   5.685841  -1.254167 -12.335932  -1.799038   \n",
       "vauntz             -2.754849  -3.960474  -0.627108   2.907135   0.809016   \n",
       "vserv              11.020424   3.129168  -7.730803 -32.508427  42.503853   \n",
       "webengage           5.019986   6.040377  -7.242947   1.924371   4.815917   \n",
       "wittyfeed          -1.323375  -0.151450   2.016054  -0.106077   0.207411   \n",
       "witworks            0.451338   0.916783  -0.991040   0.372516  -2.342694   \n",
       "zepper              1.886805   3.146605  -2.079390  -1.926615   3.006999   \n",
       "zipdial             7.634697   9.708799 -25.914646 -10.369451   3.266211   \n",
       "\n",
       "                           5          6          7          8          9  \\\n",
       "adiquity           -2.016322   5.056114   6.154154  -9.471286  -5.369165   \n",
       "admagnet           -3.834968  -1.220984   2.364998  -2.254915  -3.083751   \n",
       "antuit             -1.149361  -2.790197  -0.759947   0.066572  -0.178925   \n",
       "appiterate         -0.926288   0.490440  16.426630  -6.743738  -5.010009   \n",
       "appknox            -1.354483   3.341947   1.689208  -5.112165  -1.051153   \n",
       "babyoye             6.225708 -18.164024   4.765369  -9.211883 -14.280066   \n",
       "backpacker          5.833905 -14.090513  -0.619183 -12.477149 -17.415644   \n",
       "bankbazaar          5.765410   0.949310   4.786913   8.461727 -12.956447   \n",
       "burrp             -28.374470 -23.287617   1.640384 -37.933071 -59.795544   \n",
       "cardekho            0.540441 -29.916143  19.256432 -17.724581 -15.920527   \n",
       "carwale            -2.427643  -5.910921   0.476948 -11.051591  -4.392192   \n",
       "cloudboost          0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "croak              -2.053219   0.955017   0.860097  -1.689868  -0.988847   \n",
       "delhivery           7.080872 -11.173186  12.037066 -13.216895  -6.480239   \n",
       "deskaway           -0.328624   2.514902   0.117025  -8.124866  -3.503215   \n",
       "doowup             -1.625135  -1.823454   3.443221  -1.976434   1.649505   \n",
       "eventifier          1.623399  -1.291752   2.200829  -3.231271  -3.913147   \n",
       "exotel            -12.079530   3.232724   5.411754  -8.907711 -12.104525   \n",
       "explara             2.058669  -3.693429  -9.275299 -11.948338  -4.119132   \n",
       "firstcry            3.570561 -22.375460  11.798750  -8.689727 -20.263874   \n",
       "fitho              -2.974453   1.361069  -0.827508  -1.646685  -8.541999   \n",
       "fractal analytics  -3.414039 -25.974060  19.698103 -46.427261 -41.618721   \n",
       "freecharge          7.878109 -32.213673  28.787125 -81.789398 -21.570417   \n",
       "freshdesk         -16.363462 -30.356689  15.972484 -65.486046 -43.481369   \n",
       "frilp              -1.864509  -2.933479  -0.165587  -1.223536   0.057224   \n",
       "fugenx              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "gapoon             -0.200555  -1.562945   0.236554  -2.256202  -0.344706   \n",
       "grofer              0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "hackerrank          0.713075  -2.889284  -1.846456  -7.076140  -7.575149   \n",
       "heckyl            -11.267441  -6.596227  -0.866313  -9.224508 -10.077786   \n",
       "...                      ...        ...        ...        ...        ...   \n",
       "qikpod              1.712041  -0.399791   1.383713  -3.185616   1.300671   \n",
       "quikr              14.979356 -57.950653  39.693878 -62.687248 -53.617271   \n",
       "realty compass      2.882993  -5.274334   6.763806 -17.778679 -15.608597   \n",
       "redbus             16.303637  -9.650764  43.656532 -70.396378 -67.011093   \n",
       "rivigo              2.831296  -4.117532  -0.405983  -2.802412  -0.873654   \n",
       "saavn             -16.572685  -2.555189  37.904694 -60.884747 -44.214699   \n",
       "shifu               0.989233   4.543633  10.515245 -11.762891  -6.152539   \n",
       "shopclues          -2.027576 -43.195995  37.418362 -41.640610 -39.338223   \n",
       "shopify             1.844417 -11.237847   8.370359 -22.686089  -5.678387   \n",
       "supportbee          0.949651   1.503365   2.315379  -0.056764  -2.211119   \n",
       "tastykhana         -2.020121  -4.581500   7.207932  -7.472323 -17.327682   \n",
       "taxiforsure        32.202000 -32.882370  57.554367 -33.614029 -40.025150   \n",
       "threadsol           0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "thrill             -3.242283  -1.188352   1.027914  -2.630375  -9.485107   \n",
       "tinyowl            -9.382411  -4.421027   7.034420 -34.365322 -37.362846   \n",
       "tommyjams           3.247205   0.690741   0.057547  -4.402375  -2.103212   \n",
       "tookitaki          -1.118954  -5.560950  -0.564683  -2.817444  -3.143879   \n",
       "toppr              -3.770892  -5.937941   2.989386 -15.694386  -2.889388   \n",
       "townrush            4.974627  -0.495563  -2.069747  -4.611412  -3.966743   \n",
       "unicommerce         0.002191  -1.908865   3.416794  -4.560795  -1.773987   \n",
       "unmetric            6.081955  -4.033566   5.428592  -4.824644  -0.580772   \n",
       "urban ladder        0.482300 -38.769245  22.210110 -45.997177 -58.080551   \n",
       "urbanspoon         -9.384521  -6.613635  -0.484111  -7.414748  -9.321905   \n",
       "vauntz             -0.435401   1.405512   2.691660  -3.027304  -1.268830   \n",
       "vserv             -10.930392 -12.867811  19.468641 -34.540142 -53.926708   \n",
       "webengage           6.018774  -8.205339  15.783203 -13.338528  -7.906737   \n",
       "wittyfeed          -0.493594  -1.726994  -0.851867  -1.000113   0.477320   \n",
       "witworks           -0.376575  -0.256876  -0.104136  -1.487626  -1.086169   \n",
       "zepper              3.136124  -2.312749   4.779399  -3.245208  -1.174907   \n",
       "zipdial            -6.014395 -13.084343  11.959442 -18.107550  -4.225071   \n",
       "\n",
       "                   ...   mum  usa  del  che  jai  hyd  pun  NaN  ag  ban'  \n",
       "adiquity           ...     0    0    0    0    0    0    0    0   0     0  \n",
       "admagnet           ...     1    0    0    0    0    0    0    0   0     0  \n",
       "antuit             ...     0    1    0    0    0    0    0    0   0     0  \n",
       "appiterate         ...     0    1    0    0    0    0    0    0   0     0  \n",
       "appknox            ...     0    1    0    0    0    0    0    0   0     0  \n",
       "babyoye            ...     1    0    0    0    0    0    0    0   0     0  \n",
       "backpacker         ...     0    0    1    0    0    0    0    0   0     0  \n",
       "bankbazaar         ...     0    0    0    1    0    0    0    0   0     0  \n",
       "burrp              ...     1    0    0    0    0    0    0    0   0     0  \n",
       "cardekho           ...     0    0    0    0    1    0    0    0   0     0  \n",
       "carwale            ...     1    0    0    0    0    0    0    0   0     0  \n",
       "cloudboost         ...     0    0    0    0    0    1    0    0   0     0  \n",
       "croak              ...     0    1    0    0    0    0    0    0   0     0  \n",
       "delhivery          ...     0    0    1    0    0    0    0    0   0     0  \n",
       "deskaway           ...     1    0    0    0    0    0    0    0   0     0  \n",
       "doowup             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "eventifier         ...     0    0    0    0    0    0    0    0   0     0  \n",
       "exotel             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "explara            ...     0    0    0    0    0    0    0    0   0     0  \n",
       "firstcry           ...     0    0    0    0    0    0    1    0   0     0  \n",
       "fitho              ...     0    0    1    0    0    0    0    0   0     0  \n",
       "fractal analytics  ...     0    1    0    0    0    0    0    0   0     0  \n",
       "freecharge         ...     1    0    0    0    0    0    0    0   0     0  \n",
       "freshdesk          ...     0    1    0    0    0    0    0    0   0     0  \n",
       "frilp              ...     0    0    0    1    0    0    0    0   0     0  \n",
       "fugenx             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "gapoon             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "grofer             ...     0    0    1    0    0    0    0    0   0     0  \n",
       "hackerrank         ...     0    1    0    0    0    0    0    0   0     0  \n",
       "heckyl             ...     1    0    0    0    0    0    0    0   0     0  \n",
       "...                ...   ...  ...  ...  ...  ...  ...  ...  ...  ..   ...  \n",
       "qikpod             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "quikr              ...     1    0    0    0    0    0    0    0   0     0  \n",
       "realty compass     ...     0    0    0    0    0    0    0    0   0     0  \n",
       "redbus             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "rivigo             ...     0    0    1    0    0    0    0    0   0     0  \n",
       "saavn              ...     0    1    0    0    0    0    0    0   0     0  \n",
       "shifu              ...     0    0    1    0    0    0    0    0   0     0  \n",
       "shopclues          ...     0    0    1    0    0    0    0    0   0     0  \n",
       "shopify            ...     0    1    0    0    0    0    0    0   0     0  \n",
       "supportbee         ...     0    0    0    0    0    0    0    0   0     0  \n",
       "tastykhana         ...     0    0    0    0    0    0    1    0   0     0  \n",
       "taxiforsure        ...     0    0    0    0    0    0    0    0   1     0  \n",
       "threadsol          ...     0    0    1    0    0    0    0    0   0     0  \n",
       "thrill             ...     0    1    0    0    0    0    0    0   0     0  \n",
       "tinyowl            ...     1    0    0    0    0    0    0    0   0     0  \n",
       "tommyjams          ...     0    0    0    0    0    0    0    0   0     1  \n",
       "tookitaki          ...     0    0    0    0    0    0    0    0   0     0  \n",
       "toppr              ...     1    0    0    0    0    0    0    0   0     0  \n",
       "townrush           ...     0    0    0    0    0    0    0    0   0     0  \n",
       "unicommerce        ...     0    0    1    0    0    0    0    0   0     0  \n",
       "unmetric           ...     0    0    0    1    0    0    0    0   0     0  \n",
       "urban ladder       ...     0    0    0    0    0    0    0    0   0     0  \n",
       "urbanspoon         ...     0    1    0    0    0    0    0    0   0     0  \n",
       "vauntz             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "vserv              ...     1    0    0    0    0    0    0    0   0     0  \n",
       "webengage          ...     1    0    0    0    0    0    0    0   0     0  \n",
       "wittyfeed          ...     0    0    1    0    0    0    0    0   0     0  \n",
       "witworks           ...     0    0    0    0    0    0    0    0   0     0  \n",
       "zepper             ...     0    0    0    0    0    0    0    0   0     0  \n",
       "zipdial            ...     0    0    0    0    0    0    0    0   0     0  \n",
       "\n",
       "[105 rows x 233 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del features['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del features['hq']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features.ix['eventifier','fundamt'] = 2.5\n",
    "features.ix['gapoon','fundamt'] = 0.17\n",
    "features.ix['gapoon','fund_avg'] = 0.17"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features_un = features.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features = features_un.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#normalize\n",
    "\n",
    "for col in features.columns[201:]:\n",
    "    features[col] = features[col].astype('float32')\n",
    "    m = features[col].mean()\n",
    "    sd = features[col].std()\n",
    "    features[col] = features[col].apply(lambda x: (x-m)/sd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#no normalize\n",
    "for col in features.columns[201:]:\n",
    "    features[col] = features[col].astype('float32')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "del features[np.nan]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Seperating train and test sets </h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#ad-hoc for now\n",
    "features['set'] = 'train'\n",
    "features.ix['freecharge','set'] = 'test'\n",
    "features.ix['frilp','set'] = 'test'\n",
    "features.ix['burrp','set'] = 'test'\n",
    "features.ix['magicbricks','set'] = 'test'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> classification by LR </h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = features[features['set']=='train']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = X['acquired'].astype('float32')\n",
    "del X['acquired']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "del X['set']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "logreg = LogisticRegression(penalty='l2',max_iter=100,solver='liblinear',n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=-1,\n",
       "          penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
       "          verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logreg.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_test = features[features['set']=='test']\n",
    "y_test = X_test['acquired']\n",
    "del X_test['acquired']\n",
    "del X_test['set']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>ban</th>\n",
       "      <th>mum</th>\n",
       "      <th>usa</th>\n",
       "      <th>del</th>\n",
       "      <th>che</th>\n",
       "      <th>jai</th>\n",
       "      <th>hyd</th>\n",
       "      <th>pun</th>\n",
       "      <th>ag</th>\n",
       "      <th>ban'</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>burrp</th>\n",
       "      <td>5.495484</td>\n",
       "      <td>1.698862</td>\n",
       "      <td>-23.806908</td>\n",
       "      <td>-27.452366</td>\n",
       "      <td>9.497677</td>\n",
       "      <td>-28.374470</td>\n",
       "      <td>-23.287617</td>\n",
       "      <td>1.640384</td>\n",
       "      <td>-37.933071</td>\n",
       "      <td>-59.795544</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.703732</td>\n",
       "      <td>2.051711</td>\n",
       "      <td>-0.39036</td>\n",
       "      <td>-0.512383</td>\n",
       "      <td>-0.198058</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.22254</td>\n",
       "      <td>-0.138682</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.09759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freecharge</th>\n",
       "      <td>3.597401</td>\n",
       "      <td>52.130402</td>\n",
       "      <td>-24.100756</td>\n",
       "      <td>-41.352161</td>\n",
       "      <td>42.871689</td>\n",
       "      <td>7.878109</td>\n",
       "      <td>-32.213673</td>\n",
       "      <td>28.787125</td>\n",
       "      <td>-81.789398</td>\n",
       "      <td>-21.570417</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.703732</td>\n",
       "      <td>2.051711</td>\n",
       "      <td>-0.39036</td>\n",
       "      <td>-0.512383</td>\n",
       "      <td>-0.198058</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.22254</td>\n",
       "      <td>-0.138682</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.09759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frilp</th>\n",
       "      <td>-1.151562</td>\n",
       "      <td>2.710439</td>\n",
       "      <td>3.608341</td>\n",
       "      <td>1.043951</td>\n",
       "      <td>5.080792</td>\n",
       "      <td>-1.864509</td>\n",
       "      <td>-2.933479</td>\n",
       "      <td>-0.165587</td>\n",
       "      <td>-1.223536</td>\n",
       "      <td>0.057224</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.703732</td>\n",
       "      <td>-0.482756</td>\n",
       "      <td>-0.39036</td>\n",
       "      <td>-0.512383</td>\n",
       "      <td>5.000952</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.22254</td>\n",
       "      <td>-0.138682</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.09759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>magicbricks</th>\n",
       "      <td>-12.785639</td>\n",
       "      <td>3.274108</td>\n",
       "      <td>-12.128348</td>\n",
       "      <td>-2.779760</td>\n",
       "      <td>-0.959443</td>\n",
       "      <td>0.101606</td>\n",
       "      <td>-11.592999</td>\n",
       "      <td>12.512965</td>\n",
       "      <td>-12.157177</td>\n",
       "      <td>-18.847389</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.703732</td>\n",
       "      <td>-0.482756</td>\n",
       "      <td>-0.39036</td>\n",
       "      <td>1.933080</td>\n",
       "      <td>-0.198058</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.22254</td>\n",
       "      <td>-0.138682</td>\n",
       "      <td>-0.09759</td>\n",
       "      <td>-0.09759</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 229 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     0          1          2          3          4          5  \\\n",
       "burrp         5.495484   1.698862 -23.806908 -27.452366   9.497677 -28.374470   \n",
       "freecharge    3.597401  52.130402 -24.100756 -41.352161  42.871689   7.878109   \n",
       "frilp        -1.151562   2.710439   3.608341   1.043951   5.080792  -1.864509   \n",
       "magicbricks -12.785639   3.274108 -12.128348  -2.779760  -0.959443   0.101606   \n",
       "\n",
       "                     6          7          8          9   ...          ban  \\\n",
       "burrp       -23.287617   1.640384 -37.933071 -59.795544   ...    -0.703732   \n",
       "freecharge  -32.213673  28.787125 -81.789398 -21.570417   ...    -0.703732   \n",
       "frilp        -2.933479  -0.165587  -1.223536   0.057224   ...    -0.703732   \n",
       "magicbricks -11.592999  12.512965 -12.157177 -18.847389   ...    -0.703732   \n",
       "\n",
       "                  mum      usa       del       che      jai      hyd  \\\n",
       "burrp        2.051711 -0.39036 -0.512383 -0.198058 -0.09759 -0.22254   \n",
       "freecharge   2.051711 -0.39036 -0.512383 -0.198058 -0.09759 -0.22254   \n",
       "frilp       -0.482756 -0.39036 -0.512383  5.000952 -0.09759 -0.22254   \n",
       "magicbricks -0.482756 -0.39036  1.933080 -0.198058 -0.09759 -0.22254   \n",
       "\n",
       "                  pun       ag     ban'  \n",
       "burrp       -0.138682 -0.09759 -0.09759  \n",
       "freecharge  -0.138682 -0.09759 -0.09759  \n",
       "frilp       -0.138682 -0.09759 -0.09759  \n",
       "magicbricks -0.138682 -0.09759 -0.09759  \n",
       "\n",
       "[4 rows x 229 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_test_pred = logreg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.,  0.,  1.,  1.], dtype=float32)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "burrp          0\n",
       "freecharge     1\n",
       "frilp          1\n",
       "magicbricks    0\n",
       "Name: acquired, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Classification by Neural Network </h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features.ix[:,201:]  = features.ix[:,201:]*10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using gpu device 0: GeForce GT 740M\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "import theano\n",
    "import theano.tensor as T\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "companies = list(features.index)\n",
    "len(companies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comp_pred = pd.DataFrame({'acquired': features['acquired'],\n",
    "                          'p_acquire':0,'p_unacquire':0,\n",
    "                          'count':0},index=features.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acquired</th>\n",
       "      <th>ceo_app</th>\n",
       "      <th>fb</th>\n",
       "      <th>fundamt</th>\n",
       "      <th>nactivities</th>\n",
       "      <th>nemps</th>\n",
       "      <th>nfollowers</th>\n",
       "      <th>nfundrounds</th>\n",
       "      <th>ninvestors</th>\n",
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       "      <th>ban'</th>\n",
       "      <th>set</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adiquity</th>\n",
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       "    <tr>\n",
       "      <th>appiterate</th>\n",
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       "      <th>appknox</th>\n",
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       "    <tr>\n",
       "      <th>backpacker</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>bankbazaar</th>\n",
       "      <td>0</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>5.139832</td>\n",
       "      <td>7.490890</td>\n",
       "      <td>-1.269701</td>\n",
       "      <td>-1.309792</td>\n",
       "      <td>5.817334</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>7.235840</td>\n",
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       "    <tr>\n",
       "      <th>burrp</th>\n",
       "      <td>0</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>1.567834</td>\n",
       "      <td>-5.127200</td>\n",
       "      <td>-3.824380</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>testtesttesttesttesttesttesttesttesttest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardekho</th>\n",
       "      <td>0</td>\n",
       "      <td>5.333756</td>\n",
       "      <td>7.828647</td>\n",
       "      <td>5.192214</td>\n",
       "      <td>-2.517335</td>\n",
       "      <td>-0.383593</td>\n",
       "      <td>-1.720746</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>101.493531</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carwale</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-0.387723</td>\n",
       "      <td>-4.330873</td>\n",
       "      <td>-0.200300</td>\n",
       "      <td>-1.206881</td>\n",
       "      <td>-2.898571</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cloudboost</th>\n",
       "      <td>0</td>\n",
       "      <td>-5.075990</td>\n",
       "      <td>-4.388276</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.883791</td>\n",
       "      <td>-2.017819</td>\n",
       "      <td>-3.840831</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>44.507923</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>croak</th>\n",
       "      <td>0</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-4.353410</td>\n",
       "      <td>-5.414535</td>\n",
       "      <td>-3.705557</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delhivery</th>\n",
       "      <td>0</td>\n",
       "      <td>7.415705</td>\n",
       "      <td>-4.315360</td>\n",
       "      <td>15.454162</td>\n",
       "      <td>3.899068</td>\n",
       "      <td>59.716413</td>\n",
       "      <td>2.754989</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>2.047768</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deskaway</th>\n",
       "      <td>0</td>\n",
       "      <td>-4.035015</td>\n",
       "      <td>-4.400404</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-2.576746</td>\n",
       "      <td>-2.023994</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doowup</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.404952</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.883791</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eventifier</th>\n",
       "      <td>1</td>\n",
       "      <td>7.936192</td>\n",
       "      <td>-4.389792</td>\n",
       "      <td>-5.069733</td>\n",
       "      <td>-3.289679</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.840831</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>exotel</th>\n",
       "      <td>0</td>\n",
       "      <td>-3.514528</td>\n",
       "      <td>-4.354168</td>\n",
       "      <td>-5.398116</td>\n",
       "      <td>-2.042046</td>\n",
       "      <td>-1.968422</td>\n",
       "      <td>-2.663006</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>explara</th>\n",
       "      <td>0</td>\n",
       "      <td>-2.473554</td>\n",
       "      <td>-4.254874</td>\n",
       "      <td>-5.398116</td>\n",
       "      <td>-2.339101</td>\n",
       "      <td>-1.618525</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>21.776762</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firstcry</th>\n",
       "      <td>0</td>\n",
       "      <td>6.374730</td>\n",
       "      <td>4.190402</td>\n",
       "      <td>9.461184</td>\n",
       "      <td>-2.933213</td>\n",
       "      <td>8.260928</td>\n",
       "      <td>-1.249616</td>\n",
       "      <td>21.702447</td>\n",
       "      <td>10.871070</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>71.420972</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitho</th>\n",
       "      <td>1</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-2.373598</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-1.923223</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal analytics</th>\n",
       "      <td>0</td>\n",
       "      <td>5.333756</td>\n",
       "      <td>-4.283677</td>\n",
       "      <td>-1.375432</td>\n",
       "      <td>-1.863812</td>\n",
       "      <td>0.028051</td>\n",
       "      <td>-1.249616</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>42.726398</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freecharge</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>14.241053</td>\n",
       "      <td>13.073390</td>\n",
       "      <td>9.186659</td>\n",
       "      <td>-1.824347</td>\n",
       "      <td>2.990554</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>testtesttesttesttesttesttesttesttesttest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freshdesk</th>\n",
       "      <td>0</td>\n",
       "      <td>6.895218</td>\n",
       "      <td>-3.540868</td>\n",
       "      <td>10.117949</td>\n",
       "      <td>17.207162</td>\n",
       "      <td>-1.309792</td>\n",
       "      <td>15.711064</td>\n",
       "      <td>21.702447</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>2.047768</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frilp</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-3.040610</td>\n",
       "      <td>-5.398116</td>\n",
       "      <td>-2.933213</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>50.009519</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>testtesttesttesttesttesttesttesttesttest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fugenx</th>\n",
       "      <td>0</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-4.398585</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-2.933213</td>\n",
       "      <td>-1.515614</td>\n",
       "      <td>-2.663006</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>13.670234</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gapoon</th>\n",
       "      <td>0</td>\n",
       "      <td>1.690345</td>\n",
       "      <td>-4.374633</td>\n",
       "      <td>-5.452299</td>\n",
       "      <td>-3.289679</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grofer</th>\n",
       "      <td>0</td>\n",
       "      <td>1.169857</td>\n",
       "      <td>-3.315449</td>\n",
       "      <td>21.693426</td>\n",
       "      <td>3.720834</td>\n",
       "      <td>3.321202</td>\n",
       "      <td>4.639509</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hackerrank</th>\n",
       "      <td>0</td>\n",
       "      <td>2.731319</td>\n",
       "      <td>-3.098988</td>\n",
       "      <td>-2.212807</td>\n",
       "      <td>0.274989</td>\n",
       "      <td>-1.721436</td>\n",
       "      <td>14.297674</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>18.141531</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heckyl</th>\n",
       "      <td>0</td>\n",
       "      <td>-12.883299</td>\n",
       "      <td>-4.388276</td>\n",
       "      <td>-4.700303</td>\n",
       "      <td>-3.467913</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qikpod</th>\n",
       "      <td>0</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.395856</td>\n",
       "      <td>-4.002491</td>\n",
       "      <td>-3.824380</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>-2.663006</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>3.600609</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quikr</th>\n",
       "      <td>0</td>\n",
       "      <td>1.169857</td>\n",
       "      <td>35.106082</td>\n",
       "      <td>51.329930</td>\n",
       "      <td>16.969518</td>\n",
       "      <td>-0.589415</td>\n",
       "      <td>8.879679</td>\n",
       "      <td>21.702447</td>\n",
       "      <td>25.411993</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>realty compass</th>\n",
       "      <td>1</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-3.882409</td>\n",
       "      <td>-5.233925</td>\n",
       "      <td>-1.447934</td>\n",
       "      <td>-1.824347</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>13.670234</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbus</th>\n",
       "      <td>1</td>\n",
       "      <td>7.936192</td>\n",
       "      <td>10.678605</td>\n",
       "      <td>-4.112499</td>\n",
       "      <td>-3.289679</td>\n",
       "      <td>-0.692326</td>\n",
       "      <td>-2.663006</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>13.670234</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rivigo</th>\n",
       "      <td>0</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-4.401920</td>\n",
       "      <td>-0.554477</td>\n",
       "      <td>-3.824380</td>\n",
       "      <td>-1.989004</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saavn</th>\n",
       "      <td>0</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>41.098879</td>\n",
       "      <td>12.580816</td>\n",
       "      <td>2.592023</td>\n",
       "      <td>-1.824347</td>\n",
       "      <td>0.870469</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>14.506301</td>\n",
       "      <td>13.670234</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shifu</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.392824</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.230268</td>\n",
       "      <td>-1.824347</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopclues</th>\n",
       "      <td>0</td>\n",
       "      <td>8.977167</td>\n",
       "      <td>35.916504</td>\n",
       "      <td>16.069879</td>\n",
       "      <td>0.750278</td>\n",
       "      <td>-1.052515</td>\n",
       "      <td>3.697249</td>\n",
       "      <td>27.315149</td>\n",
       "      <td>10.871070</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopify</th>\n",
       "      <td>0</td>\n",
       "      <td>2.731319</td>\n",
       "      <td>17.166808</td>\n",
       "      <td>14.551110</td>\n",
       "      <td>80.777077</td>\n",
       "      <td>-0.424758</td>\n",
       "      <td>83.082654</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>10.871070</td>\n",
       "      <td>19.481467</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supportbee</th>\n",
       "      <td>0</td>\n",
       "      <td>-15.485736</td>\n",
       "      <td>-4.398281</td>\n",
       "      <td>-5.473644</td>\n",
       "      <td>-3.052035</td>\n",
       "      <td>-2.013703</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tastykhana</th>\n",
       "      <td>1</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>24.973875</td>\n",
       "      <td>-4.659256</td>\n",
       "      <td>-0.437945</td>\n",
       "      <td>-1.906676</td>\n",
       "      <td>-3.369701</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>71.420972</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxiforsure</th>\n",
       "      <td>1</td>\n",
       "      <td>-19.129147</td>\n",
       "      <td>-1.494356</td>\n",
       "      <td>1.744200</td>\n",
       "      <td>-2.814390</td>\n",
       "      <td>-1.001059</td>\n",
       "      <td>0.634904</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>101.493591</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>threadsol</th>\n",
       "      <td>0</td>\n",
       "      <td>7.936192</td>\n",
       "      <td>-4.391308</td>\n",
       "      <td>-5.447373</td>\n",
       "      <td>-3.883791</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.840831</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thrill</th>\n",
       "      <td>0</td>\n",
       "      <td>-5.075990</td>\n",
       "      <td>-4.404952</td>\n",
       "      <td>-5.069733</td>\n",
       "      <td>-3.586735</td>\n",
       "      <td>-1.999295</td>\n",
       "      <td>-2.898571</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tinyowl</th>\n",
       "      <td>0</td>\n",
       "      <td>0.649370</td>\n",
       "      <td>-3.919852</td>\n",
       "      <td>-0.964954</td>\n",
       "      <td>-3.527324</td>\n",
       "      <td>-1.155426</td>\n",
       "      <td>5.581769</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>3.600609</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tommyjams</th>\n",
       "      <td>0</td>\n",
       "      <td>-7.678426</td>\n",
       "      <td>-4.377665</td>\n",
       "      <td>-4.659256</td>\n",
       "      <td>-3.646146</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>101.493596</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tookitaki</th>\n",
       "      <td>0</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.389792</td>\n",
       "      <td>-5.278256</td>\n",
       "      <td>-3.052035</td>\n",
       "      <td>-1.968422</td>\n",
       "      <td>-2.898571</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>25.411993</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toppr</th>\n",
       "      <td>0</td>\n",
       "      <td>4.292781</td>\n",
       "      <td>1.476878</td>\n",
       "      <td>-3.148697</td>\n",
       "      <td>-1.447934</td>\n",
       "      <td>80.298607</td>\n",
       "      <td>-0.542921</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>7.235840</td>\n",
       "      <td>2.047768</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>townrush</th>\n",
       "      <td>1</td>\n",
       "      <td>0.128883</td>\n",
       "      <td>-4.402026</td>\n",
       "      <td>-5.447373</td>\n",
       "      <td>-2.992624</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.840831</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unicommerce</th>\n",
       "      <td>0</td>\n",
       "      <td>-7.678426</td>\n",
       "      <td>-4.380393</td>\n",
       "      <td>-3.838300</td>\n",
       "      <td>-3.408502</td>\n",
       "      <td>-1.886093</td>\n",
       "      <td>-2.191876</td>\n",
       "      <td>-6.361063</td>\n",
       "      <td>-7.305083</td>\n",
       "      <td>13.670234</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unmetric</th>\n",
       "      <td>0</td>\n",
       "      <td>-4.555503</td>\n",
       "      <td>-4.376149</td>\n",
       "      <td>-4.051748</td>\n",
       "      <td>-0.081478</td>\n",
       "      <td>-1.906676</td>\n",
       "      <td>-1.720746</td>\n",
       "      <td>-0.748361</td>\n",
       "      <td>-3.669852</td>\n",
       "      <td>2.047768</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>50.009519</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urban ladder</th>\n",
       "      <td>0</td>\n",
       "      <td>1.169857</td>\n",
       "      <td>3.666495</td>\n",
       "      <td>7.162508</td>\n",
       "      <td>1.522622</td>\n",
       "      <td>-1.001059</td>\n",
       "      <td>0.399339</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>10.871070</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urbanspoon</th>\n",
       "      <td>1</td>\n",
       "      <td>-4.555503</td>\n",
       "      <td>14.999021</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>18.395385</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>0.399339</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>25.373406</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vauntz</th>\n",
       "      <td>0</td>\n",
       "      <td>-12.883299</td>\n",
       "      <td>-4.404952</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.943202</td>\n",
       "      <td>-1.989004</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vserv</th>\n",
       "      <td>0</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.348104</td>\n",
       "      <td>-2.524770</td>\n",
       "      <td>0.631455</td>\n",
       "      <td>-1.309792</td>\n",
       "      <td>-2.427441</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>-0.034621</td>\n",
       "      <td>60.160097</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webengage</th>\n",
       "      <td>0</td>\n",
       "      <td>-4.555503</td>\n",
       "      <td>-4.250326</td>\n",
       "      <td>-5.176458</td>\n",
       "      <td>-2.517335</td>\n",
       "      <td>-1.824347</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>10.477043</td>\n",
       "      <td>3.600609</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>20.517111</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wittyfeed</th>\n",
       "      <td>0</td>\n",
       "      <td>-10.280863</td>\n",
       "      <td>-4.393582</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.764969</td>\n",
       "      <td>-2.009587</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>19.330797</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>witworks</th>\n",
       "      <td>0</td>\n",
       "      <td>-15.485736</td>\n",
       "      <td>-4.398130</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.467913</td>\n",
       "      <td>-2.021936</td>\n",
       "      <td>-4.076396</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zepper</th>\n",
       "      <td>1</td>\n",
       "      <td>13.141065</td>\n",
       "      <td>-4.367508</td>\n",
       "      <td>-5.480211</td>\n",
       "      <td>-3.646146</td>\n",
       "      <td>-1.927258</td>\n",
       "      <td>-3.605266</td>\n",
       "      <td>-11.973765</td>\n",
       "      <td>-10.940313</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipdial</th>\n",
       "      <td>1</td>\n",
       "      <td>-4.555503</td>\n",
       "      <td>-4.359473</td>\n",
       "      <td>-5.266763</td>\n",
       "      <td>-0.378534</td>\n",
       "      <td>-1.906676</td>\n",
       "      <td>-2.191876</td>\n",
       "      <td>4.864341</td>\n",
       "      <td>3.600609</td>\n",
       "      <td>-3.763465</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.827556</td>\n",
       "      <td>-3.903601</td>\n",
       "      <td>-5.123826</td>\n",
       "      <td>-1.980575</td>\n",
       "      <td>-0.975899</td>\n",
       "      <td>-2.225396</td>\n",
       "      <td>-1.386815</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>-0.975900</td>\n",
       "      <td>traintraintraintraintraintraintraintraintraint...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  acquired    ceo_app         fb    fundamt  nactivities  \\\n",
       "adiquity                 0  13.141065  -4.374633  -3.017344    -2.933213   \n",
       "admagnet                 0   0.128883  -3.990343  -5.480211    -3.883791   \n",
       "antuit                   0   4.292781  -4.401920   4.369617    -3.408502   \n",
       "appiterate               1  -6.637452  -4.398888  -5.398116    -2.814390   \n",
       "appknox                  0  13.141065  -4.262454  -5.398116    -3.467913   \n",
       "babyoye                  1  -2.473554   9.390060  -5.069733    -2.101457   \n",
       "backpacker               0   0.128883  -4.215914  -5.480211    -3.943202   \n",
       "bankbazaar               0   0.128883   5.139832   7.490890    -1.269701   \n",
       "burrp                    0   0.128883   1.567834  -5.127200    -3.824380   \n",
       "cardekho                 0   5.333756   7.828647   5.192214    -2.517335   \n",
       "carwale                  1  13.141065  -0.387723  -4.330873    -0.200300   \n",
       "cloudboost               0  -5.075990  -4.388276  -5.480211    -3.883791   \n",
       "croak                    0   0.128883  -4.353410  -5.414535    -3.705557   \n",
       "delhivery                0   7.415705  -4.315360  15.454162     3.899068   \n",
       "deskaway                 0  -4.035015  -4.400404  -5.480211    -2.576746   \n",
       "doowup                   1  13.141065  -4.404952  -5.480211    -3.883791   \n",
       "eventifier               1   7.936192  -4.389792  -5.069733    -3.289679   \n",
       "exotel                   0  -3.514528  -4.354168  -5.398116    -2.042046   \n",
       "explara                  0  -2.473554  -4.254874  -5.398116    -2.339101   \n",
       "firstcry                 0   6.374730   4.190402   9.461184    -2.933213   \n",
       "fitho                    1   0.128883  -2.373598  -5.480211    -1.923223   \n",
       "fractal analytics        0   5.333756  -4.283677  -1.375432    -1.863812   \n",
       "freecharge               1  13.141065  14.241053  13.073390     9.186659   \n",
       "freshdesk                0   6.895218  -3.540868  10.117949    17.207162   \n",
       "frilp                    1  13.141065  -3.040610  -5.398116    -2.933213   \n",
       "fugenx                   0   0.128883  -4.398585  -5.480211    -2.933213   \n",
       "gapoon                   0   1.690345  -4.374633  -5.452299    -3.289679   \n",
       "grofer                   0   1.169857  -3.315449  21.693426     3.720834   \n",
       "hackerrank               0   2.731319  -3.098988  -2.212807     0.274989   \n",
       "heckyl                   0 -12.883299  -4.388276  -4.700303    -3.467913   \n",
       "...                    ...        ...        ...        ...          ...   \n",
       "qikpod                   0  13.141065  -4.395856  -4.002491    -3.824380   \n",
       "quikr                    0   1.169857  35.106082  51.329930    16.969518   \n",
       "realty compass           1   0.128883  -3.882409  -5.233925    -1.447934   \n",
       "redbus                   1   7.936192  10.678605  -4.112499    -3.289679   \n",
       "rivigo                   0   0.128883  -4.401920  -0.554477    -3.824380   \n",
       "saavn                    0  13.141065  41.098879  12.580816     2.592023   \n",
       "shifu                    1  13.141065  -4.392824  -5.480211    -3.230268   \n",
       "shopclues                0   8.977167  35.916504  16.069879     0.750278   \n",
       "shopify                  0   2.731319  17.166808  14.551110    80.777077   \n",
       "supportbee               0 -15.485736  -4.398281  -5.473644    -3.052035   \n",
       "tastykhana               1   0.128883  24.973875  -4.659256    -0.437945   \n",
       "taxiforsure              1 -19.129147  -1.494356   1.744200    -2.814390   \n",
       "threadsol                0   7.936192  -4.391308  -5.447373    -3.883791   \n",
       "thrill                   0  -5.075990  -4.404952  -5.069733    -3.586735   \n",
       "tinyowl                  0   0.649370  -3.919852  -0.964954    -3.527324   \n",
       "tommyjams                0  -7.678426  -4.377665  -4.659256    -3.646146   \n",
       "tookitaki                0  13.141065  -4.389792  -5.278256    -3.052035   \n",
       "toppr                    0   4.292781   1.476878  -3.148697    -1.447934   \n",
       "townrush                 1   0.128883  -4.402026  -5.447373    -2.992624   \n",
       "unicommerce              0  -7.678426  -4.380393  -3.838300    -3.408502   \n",
       "unmetric                 0  -4.555503  -4.376149  -4.051748    -0.081478   \n",
       "urban ladder             0   1.169857   3.666495   7.162508     1.522622   \n",
       "urbanspoon               1  -4.555503  14.999021  -5.480211    18.395385   \n",
       "vauntz                   0 -12.883299  -4.404952  -5.480211    -3.943202   \n",
       "vserv                    0  13.141065  -4.348104  -2.524770     0.631455   \n",
       "webengage                0  -4.555503  -4.250326  -5.176458    -2.517335   \n",
       "wittyfeed                0 -10.280863  -4.393582  -5.480211    -3.764969   \n",
       "witworks                 0 -15.485736  -4.398130  -5.480211    -3.467913   \n",
       "zepper                   1  13.141065  -4.367508  -5.480211    -3.646146   \n",
       "zipdial                  1  -4.555503  -4.359473  -5.266763    -0.378534   \n",
       "\n",
       "                       nemps  nfollowers  nfundrounds  ninvestors   noffices  \\\n",
       "adiquity           -1.927258   -2.898571    -0.748361   -3.669852  -3.763465   \n",
       "admagnet           -1.958131   -3.840831   -11.973765  -10.940313  -3.763465   \n",
       "antuit             -1.947840   -1.485181    -0.748361   -3.669852  -3.763465   \n",
       "appiterate         -2.009587   -4.076396    -6.361063   -0.034621  -3.763465   \n",
       "appknox            -2.009587   -3.840831    -0.748361    7.235840  -3.763465   \n",
       "babyoye            -1.824347   -2.898571    -0.748361   -0.034621  -3.763465   \n",
       "backpacker         -2.009587   -4.076396   -11.973765  -10.940313  -3.763465   \n",
       "bankbazaar         -1.309792    5.817334     4.864341    7.235840  -3.763465   \n",
       "burrp              -1.927258   -3.369701    -0.748361   -7.305083  -3.763465   \n",
       "cardekho           -0.383593   -1.720746    10.477043    7.235840  -3.763465   \n",
       "carwale            -1.206881   -2.898571    -0.748361   -7.305083  -3.763465   \n",
       "cloudboost         -2.017819   -3.840831   -11.973765  -10.940313  -3.763465   \n",
       "croak              -2.009587   -4.076396    -6.361063   -7.305083  -3.763465   \n",
       "delhivery          59.716413    2.754989    10.477043    7.235840   2.047768   \n",
       "deskaway           -2.023994   -3.605266   -11.973765  -10.940313  -3.763465   \n",
       "doowup             -1.927258   -4.076396   -11.973765  -10.940313  -3.763465   \n",
       "eventifier         -2.009587   -3.840831    -0.748361   -3.669852  -3.763465   \n",
       "exotel             -1.968422   -2.663006    -6.361063   -3.669852  -3.763465   \n",
       "explara            -1.618525   -3.605266    10.477043   21.776762  -3.763465   \n",
       "firstcry            8.260928   -1.249616    21.702447   10.871070  -3.763465   \n",
       "fitho              -1.927258   -3.605266   -11.973765  -10.940313  -3.763465   \n",
       "fractal analytics   0.028051   -1.249616    -0.748361   -3.669852  42.726398   \n",
       "freecharge         -1.824347    2.990554    -0.748361    7.235840  -3.763465   \n",
       "freshdesk          -1.309792   15.711064    21.702447   -0.034621   2.047768   \n",
       "frilp              -2.009587   -3.369701    -0.748361   -3.669852  -3.763465   \n",
       "fugenx             -1.515614   -2.663006   -11.973765  -10.940313  13.670234   \n",
       "gapoon             -2.009587   -3.369701    -0.748361   -3.669852  -3.763465   \n",
       "grofer              3.321202    4.639509    10.477043   -0.034621  -3.763465   \n",
       "hackerrank         -1.721436   14.297674    10.477043   18.141531  -3.763465   \n",
       "heckyl             -2.009587   -3.605266     4.864341   -3.669852  -3.763465   \n",
       "...                      ...         ...          ...         ...        ...   \n",
       "qikpod             -1.927258   -2.663006    -6.361063    3.600609  -3.763465   \n",
       "quikr              -0.589415    8.879679    21.702447   25.411993  -3.763465   \n",
       "realty compass     -1.824347   -3.369701    -6.361063   -7.305083  13.670234   \n",
       "redbus             -0.692326   -2.663006     4.864341   -0.034621  13.670234   \n",
       "rivigo             -1.989004   -3.369701    -6.361063   -7.305083  -3.763465   \n",
       "saavn              -1.824347    0.870469     4.864341   14.506301  13.670234   \n",
       "shifu              -1.824347   -3.605266   -11.973765  -10.940313  -3.763465   \n",
       "shopclues          -1.052515    3.697249    27.315149   10.871070  -3.763465   \n",
       "shopify            -0.424758   83.082654     4.864341   10.871070  19.481467   \n",
       "supportbee         -2.013703   -4.076396    -0.748361   -3.669852  -3.763465   \n",
       "tastykhana         -1.906676   -3.369701    -6.361063   -7.305083  -3.763465   \n",
       "taxiforsure        -1.001059    0.634904    10.477043    7.235840  -3.763465   \n",
       "threadsol          -2.009587   -3.840831    -6.361063   -0.034621  -3.763465   \n",
       "thrill             -1.999295   -2.898571     4.864341    7.235840  -3.763465   \n",
       "tinyowl            -1.155426    5.581769    10.477043    3.600609  -3.763465   \n",
       "tommyjams          -2.009587   -4.076396    -0.748361   -0.034621  -3.763465   \n",
       "tookitaki          -1.968422   -2.898571    10.477043   25.411993  -3.763465   \n",
       "toppr              80.298607   -0.542921     4.864341    7.235840   2.047768   \n",
       "townrush           -2.009587   -3.840831    -6.361063   -7.305083  -3.763465   \n",
       "unicommerce        -1.886093   -2.191876    -6.361063   -7.305083  13.670234   \n",
       "unmetric           -1.906676   -1.720746    -0.748361   -3.669852   2.047768   \n",
       "urban ladder       -1.001059    0.399339    10.477043   10.871070  -3.763465   \n",
       "urbanspoon         -1.927258    0.399339   -11.973765  -10.940313  -3.763465   \n",
       "vauntz             -1.989004   -4.076396   -11.973765  -10.940313  -3.763465   \n",
       "vserv              -1.309792   -2.427441     4.864341   -0.034621  60.160097   \n",
       "webengage          -1.824347   -3.605266    10.477043    3.600609  -3.763465   \n",
       "wittyfeed          -2.009587   -3.605266   -11.973765  -10.940313  -3.763465   \n",
       "witworks           -2.021936   -4.076396   -11.973765  -10.940313  -3.763465   \n",
       "zepper             -1.927258   -3.605266   -11.973765  -10.940313  -3.763465   \n",
       "zipdial            -1.906676   -2.191876     4.864341    3.600609  -3.763465   \n",
       "\n",
       "                                         ...                          \\\n",
       "adiquity                                 ...                           \n",
       "admagnet                                 ...                           \n",
       "antuit                                   ...                           \n",
       "appiterate                               ...                           \n",
       "appknox                                  ...                           \n",
       "babyoye                                  ...                           \n",
       "backpacker                               ...                           \n",
       "bankbazaar                               ...                           \n",
       "burrp                                    ...                           \n",
       "cardekho                                 ...                           \n",
       "carwale                                  ...                           \n",
       "cloudboost                               ...                           \n",
       "croak                                    ...                           \n",
       "delhivery                                ...                           \n",
       "deskaway                                 ...                           \n",
       "doowup                                   ...                           \n",
       "eventifier                               ...                           \n",
       "exotel                                   ...                           \n",
       "explara                                  ...                           \n",
       "firstcry                                 ...                           \n",
       "fitho                                    ...                           \n",
       "fractal analytics                        ...                           \n",
       "freecharge                               ...                           \n",
       "freshdesk                                ...                           \n",
       "frilp                                    ...                           \n",
       "fugenx                                   ...                           \n",
       "gapoon                                   ...                           \n",
       "grofer                                   ...                           \n",
       "hackerrank                               ...                           \n",
       "heckyl                                   ...                           \n",
       "...                                      ...                           \n",
       "qikpod                                   ...                           \n",
       "quikr                                    ...                           \n",
       "realty compass                           ...                           \n",
       "redbus                                   ...                           \n",
       "rivigo                                   ...                           \n",
       "saavn                                    ...                           \n",
       "shifu                                    ...                           \n",
       "shopclues                                ...                           \n",
       "shopify                                  ...                           \n",
       "supportbee                               ...                           \n",
       "tastykhana                               ...                           \n",
       "taxiforsure                              ...                           \n",
       "threadsol                                ...                           \n",
       "thrill                                   ...                           \n",
       "tinyowl                                  ...                           \n",
       "tommyjams                                ...                           \n",
       "tookitaki                                ...                           \n",
       "toppr                                    ...                           \n",
       "townrush                                 ...                           \n",
       "unicommerce                              ...                           \n",
       "unmetric                                 ...                           \n",
       "urban ladder                             ...                           \n",
       "urbanspoon                               ...                           \n",
       "vauntz                                   ...                           \n",
       "vserv                                    ...                           \n",
       "webengage                                ...                           \n",
       "wittyfeed                                ...                           \n",
       "witworks                                 ...                           \n",
       "zepper                                   ...                           \n",
       "zipdial                                  ...                           \n",
       "\n",
       "                         mum        usa        del        che         jai  \\\n",
       "adiquity           -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "admagnet           20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "antuit             -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "appiterate         -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "appknox            -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "babyoye            20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "backpacker         -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "bankbazaar         -4.827556  -3.903601  -5.123826  50.009519   -0.975899   \n",
       "burrp              20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "cardekho           -4.827556  -3.903601  -5.123826  -1.980575  101.493531   \n",
       "carwale            20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "cloudboost         -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "croak              -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "delhivery          -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "deskaway           20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "doowup             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "eventifier         -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "exotel             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "explara            -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "firstcry           -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "fitho              -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "fractal analytics  -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "freecharge         20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "freshdesk          -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "frilp              -4.827556  -3.903601  -5.123826  50.009519   -0.975899   \n",
       "fugenx             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "gapoon             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "grofer             -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "hackerrank         -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "heckyl             20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "...                      ...        ...        ...        ...         ...   \n",
       "qikpod             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "quikr              20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "realty compass     -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "redbus             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "rivigo             -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "saavn              -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "shifu              -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "shopclues          -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "shopify            -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "supportbee         -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "tastykhana         -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "taxiforsure        -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "threadsol          -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "thrill             -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "tinyowl            20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "tommyjams          -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "tookitaki          -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "toppr              20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "townrush           -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "unicommerce        -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "unmetric           -4.827556  -3.903601  -5.123826  50.009519   -0.975899   \n",
       "urban ladder       -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "urbanspoon         -4.827556  25.373406  -5.123826  -1.980575   -0.975899   \n",
       "vauntz             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "vserv              20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "webengage          20.517111  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "wittyfeed          -4.827556  -3.903601  19.330797  -1.980575   -0.975899   \n",
       "witworks           -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "zepper             -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "zipdial            -4.827556  -3.903601  -5.123826  -1.980575   -0.975899   \n",
       "\n",
       "                         hyd        pun          ag        ban'  \\\n",
       "adiquity           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "admagnet           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "antuit             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "appiterate         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "appknox            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "babyoye            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "backpacker         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "bankbazaar         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "burrp              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "cardekho           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "carwale            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "cloudboost         44.507923  -1.386815   -0.975900   -0.975900   \n",
       "croak              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "delhivery          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "deskaway           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "doowup             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "eventifier         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "exotel             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "explara            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "firstcry           -2.225396  71.420972   -0.975900   -0.975900   \n",
       "fitho              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "fractal analytics  -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "freecharge         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "freshdesk          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "frilp              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "fugenx             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "gapoon             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "grofer             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "hackerrank         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "heckyl             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "...                      ...        ...         ...         ...   \n",
       "qikpod             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "quikr              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "realty compass     -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "redbus             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "rivigo             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "saavn              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "shifu              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "shopclues          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "shopify            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "supportbee         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "tastykhana         -2.225396  71.420972   -0.975900   -0.975900   \n",
       "taxiforsure        -2.225396  -1.386815  101.493591   -0.975900   \n",
       "threadsol          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "thrill             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "tinyowl            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "tommyjams          -2.225396  -1.386815   -0.975900  101.493596   \n",
       "tookitaki          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "toppr              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "townrush           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "unicommerce        -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "unmetric           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "urban ladder       -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "urbanspoon         -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "vauntz             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "vserv              -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "webengage          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "wittyfeed          -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "witworks           -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "zepper             -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "zipdial            -2.225396  -1.386815   -0.975900   -0.975900   \n",
       "\n",
       "                                                                 set  \n",
       "adiquity           traintraintraintraintraintraintraintraintraint...  \n",
       "admagnet           traintraintraintraintraintraintraintraintraint...  \n",
       "antuit             traintraintraintraintraintraintraintraintraint...  \n",
       "appiterate         traintraintraintraintraintraintraintraintraint...  \n",
       "appknox            traintraintraintraintraintraintraintraintraint...  \n",
       "babyoye            traintraintraintraintraintraintraintraintraint...  \n",
       "backpacker         traintraintraintraintraintraintraintraintraint...  \n",
       "bankbazaar         traintraintraintraintraintraintraintraintraint...  \n",
       "burrp                       testtesttesttesttesttesttesttesttesttest  \n",
       "cardekho           traintraintraintraintraintraintraintraintraint...  \n",
       "carwale            traintraintraintraintraintraintraintraintraint...  \n",
       "cloudboost         traintraintraintraintraintraintraintraintraint...  \n",
       "croak              traintraintraintraintraintraintraintraintraint...  \n",
       "delhivery          traintraintraintraintraintraintraintraintraint...  \n",
       "deskaway           traintraintraintraintraintraintraintraintraint...  \n",
       "doowup             traintraintraintraintraintraintraintraintraint...  \n",
       "eventifier         traintraintraintraintraintraintraintraintraint...  \n",
       "exotel             traintraintraintraintraintraintraintraintraint...  \n",
       "explara            traintraintraintraintraintraintraintraintraint...  \n",
       "firstcry           traintraintraintraintraintraintraintraintraint...  \n",
       "fitho              traintraintraintraintraintraintraintraintraint...  \n",
       "fractal analytics  traintraintraintraintraintraintraintraintraint...  \n",
       "freecharge                  testtesttesttesttesttesttesttesttesttest  \n",
       "freshdesk          traintraintraintraintraintraintraintraintraint...  \n",
       "frilp                       testtesttesttesttesttesttesttesttesttest  \n",
       "fugenx             traintraintraintraintraintraintraintraintraint...  \n",
       "gapoon             traintraintraintraintraintraintraintraintraint...  \n",
       "grofer             traintraintraintraintraintraintraintraintraint...  \n",
       "hackerrank         traintraintraintraintraintraintraintraintraint...  \n",
       "heckyl             traintraintraintraintraintraintraintraintraint...  \n",
       "...                                                              ...  \n",
       "qikpod             traintraintraintraintraintraintraintraintraint...  \n",
       "quikr              traintraintraintraintraintraintraintraintraint...  \n",
       "realty compass     traintraintraintraintraintraintraintraintraint...  \n",
       "redbus             traintraintraintraintraintraintraintraintraint...  \n",
       "rivigo             traintraintraintraintraintraintraintraintraint...  \n",
       "saavn              traintraintraintraintraintraintraintraintraint...  \n",
       "shifu              traintraintraintraintraintraintraintraintraint...  \n",
       "shopclues          traintraintraintraintraintraintraintraintraint...  \n",
       "shopify            traintraintraintraintraintraintraintraintraint...  \n",
       "supportbee         traintraintraintraintraintraintraintraintraint...  \n",
       "tastykhana         traintraintraintraintraintraintraintraintraint...  \n",
       "taxiforsure        traintraintraintraintraintraintraintraintraint...  \n",
       "threadsol          traintraintraintraintraintraintraintraintraint...  \n",
       "thrill             traintraintraintraintraintraintraintraintraint...  \n",
       "tinyowl            traintraintraintraintraintraintraintraintraint...  \n",
       "tommyjams          traintraintraintraintraintraintraintraintraint...  \n",
       "tookitaki          traintraintraintraintraintraintraintraintraint...  \n",
       "toppr              traintraintraintraintraintraintraintraintraint...  \n",
       "townrush           traintraintraintraintraintraintraintraintraint...  \n",
       "unicommerce        traintraintraintraintraintraintraintraintraint...  \n",
       "unmetric           traintraintraintraintraintraintraintraintraint...  \n",
       "urban ladder       traintraintraintraintraintraintraintraintraint...  \n",
       "urbanspoon         traintraintraintraintraintraintraintraintraint...  \n",
       "vauntz             traintraintraintraintraintraintraintraintraint...  \n",
       "vserv              traintraintraintraintraintraintraintraintraint...  \n",
       "webengage          traintraintraintraintraintraintraintraintraint...  \n",
       "wittyfeed          traintraintraintraintraintraintraintraintraint...  \n",
       "witworks           traintraintraintraintraintraintraintraintraint...  \n",
       "zepper             traintraintraintraintraintraintraintraintraint...  \n",
       "zipdial            traintraintraintraintraintraintraintraintraint...  \n",
       "\n",
       "[105 rows x 31 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.ix[:,200:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpe7zrgp/e02bc6a0409480408212fb1c78530cae.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpe7zrgp/e02bc6a0409480408212fb1c78530cae.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp2wl0aq/259a64255e7ca2eaec3735380a7c8ef3.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp2wl0aq/259a64255e7ca2eaec3735380a7c8ef3.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmptxnkyr/a2d7bc0162e42a7e7229f94686ef2ce4.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmptxnkyr/a2d7bc0162e42a7e7229f94686ef2ce4.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpgb1aoa/5379c874bbfcb6a81f2d3c008c3bc304.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpgb1aoa/5379c874bbfcb6a81f2d3c008c3bc304.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpw5k7_b/c07737f1d301ae23e9d459b32aa6f2b5.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpw5k7_b/c07737f1d301ae23e9d459b32aa6f2b5.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmppuphri/161769736105706dcd6db16578ee3ef8.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmppuphri/161769736105706dcd6db16578ee3ef8.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpdjtxmc/63aaa24fccd92f1f8c7051c4745d742b.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpdjtxmc/63aaa24fccd92f1f8c7051c4745d742b.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpxrotzw/57e1a1351ad6c79e6adb7c3af0c73913.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpxrotzw/57e1a1351ad6c79e6adb7c3af0c73913.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpuh1j4a/68e868b4dd3209b43f86908b7d067d55.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpuh1j4a/68e868b4dd3209b43f86908b7d067d55.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprnaoha/2c26bfd2f3394acea9f0d3c5401db824.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprnaoha/2c26bfd2f3394acea9f0d3c5401db824.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpswui4v/5551aed8ea4b22c2b25467aaa4a8be24.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpswui4v/5551aed8ea4b22c2b25467aaa4a8be24.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpeno1qi/3b2f139100ce3d62b7b3c878e98804fb.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpeno1qi/3b2f139100ce3d62b7b3c878e98804fb.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpx47hp3/e0a20b049953f067fb1dd13799a21bb6.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpx47hp3/e0a20b049953f067fb1dd13799a21bb6.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp2p6fw7/41b6f0d3596009c80b5e5439987a63a2.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp2p6fw7/41b6f0d3596009c80b5e5439987a63a2.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpzz1kh2/a7e8998f6b013efa80d859d7fde8a980.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpzz1kh2/a7e8998f6b013efa80d859d7fde8a980.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpgb9jma/afe742e427fc4709c0dccbd712e729d1.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpgb9jma/afe742e427fc4709c0dccbd712e729d1.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpuyncms/95919003a0c6a36a5a894b3b1bf3b46d.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpuyncms/95919003a0c6a36a5a894b3b1bf3b46d.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpdihs8i/6a9956ad65e7bd4ee29aa3403174a9d1.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpdihs8i/6a9956ad65e7bd4ee29aa3403174a9d1.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp9zjsx7/51382dfeb64b0f31eb733829604bd472.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmp9zjsx7/51382dfeb64b0f31eb733829604bd472.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprqz1yg/148b94d5eb952028cd2f2513be6d4104.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprqz1yg/148b94d5eb952028cd2f2513be6d4104.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprvip6v/02066d195ff330e320f3b0caf54a3885.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmprvip6v/02066d195ff330e320f3b0caf54a3885.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmplbvlni/c1af7bdffd68f09c705f648583b22e3e.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmplbvlni/c1af7bdffd68f09c705f648583b22e3e.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmppziynl/4ec2d4482d0cca1bbcfb94f594ef22c6.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmppziynl/4ec2d4482d0cca1bbcfb94f594ef22c6.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpwwlko3/7354612bf9066581b629c170a4db3299.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpwwlko3/7354612bf9066581b629c170a4db3299.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpojaaee/e1445bb261e0dec25da6fef15e9e97fc.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpojaaee/e1445bb261e0dec25da6fef15e9e97fc.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT mod.cu\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpcyny2v/c16faa0b89ed1e9cb61b681f1b674fef.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpcyny2v/c16faa0b89ed1e9cb61b681f1b674fef.exp\n",
      "\n",
      "DEBUG: nvcc STDOUT"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 adiquity\n",
      "Loss after iteration 0: 0.721559\n",
      "Loss after iteration 200: 0.076603\n",
      "Loss after iteration 400: 0.038120\n",
      "1 admagnet\n",
      "Loss after iteration 0: 0.719432\n",
      "Loss after iteration 200: 0.076062\n",
      "Loss after iteration 400: 0.038072\n",
      "2 antuit\n",
      "Loss after iteration 0: 0.716637\n",
      "Loss after iteration 200: 0.074669\n",
      "Loss after iteration 400: 0.037819\n",
      "3 appiterate\n",
      "Loss after iteration 0: 0.713792\n",
      "Loss after iteration 200: 0.076713\n",
      "Loss after iteration 400: 0.038015\n",
      "4 appknox\n",
      "Loss after iteration 0: 0.716591\n",
      "Loss after iteration 200: 0.076620\n",
      "Loss after iteration 400: 0.038390\n",
      "5 babyoye\n",
      "Loss after iteration 0: 0.712287\n",
      "Loss after iteration 200: 0.076840\n",
      "Loss after iteration 400: 0.038421\n",
      "6 backpacker\n",
      "Loss after iteration 0: 0.721019\n",
      "Loss after iteration 200: 0.076025\n",
      "Loss after iteration 400: 0.037992\n",
      "7 bankbazaar\n",
      "Loss after iteration 0: 0.719249\n",
      "Loss after iteration 200: 0.075743\n",
      "Loss after iteration 400: 0.038196\n",
      "8 burrp\n",
      "Loss after iteration 0: 0.718573\n",
      "Loss after iteration 200: 0.075773\n",
      "Loss after iteration 400: 0.037917\n",
      "9 cardekho\n",
      "Loss after iteration 0: 0.719834\n",
      "Loss after iteration 200: 0.076187\n",
      "Loss after iteration 400: 0.037956\n",
      "10 carwale\n",
      "Loss after iteration 0: 0.713723\n",
      "Loss after iteration 200: 0.074485\n",
      "Loss after iteration 400: 0.037272\n",
      "11 cloudboost\n",
      "Loss after iteration 0: 0.716510\n",
      "Loss after iteration 200: 0.076912\n",
      "Loss after iteration 400: 0.038075\n",
      "12 croak\n",
      "Loss after iteration 0: 0.718847\n",
      "Loss after iteration 200: 0.076614\n",
      "Loss after iteration 400: 0.038168\n",
      "13 delhivery\n",
      "Loss after iteration 0: 0.721512\n",
      "Loss after iteration 200: 0.076458\n",
      "Loss after iteration 400: 0.038290\n",
      "14 deskaway\n",
      "Loss after iteration 0: 0.720217\n",
      "Loss after iteration 200: 0.076501\n",
      "Loss after iteration 400: 0.038095\n",
      "15 doowup\n",
      "Loss after iteration 0: 0.719052\n",
      "Loss after iteration 200: 0.074594\n",
      "Loss after iteration 400: 0.037499\n",
      "16 eventifier\n",
      "Loss after iteration 0: 0.718079\n",
      "Loss after iteration 200: 0.076495\n",
      "Loss after iteration 400: 0.038170\n",
      "17 exotel\n",
      "Loss after iteration 0: 0.719757\n",
      "Loss after iteration 200: 0.075317\n",
      "Loss after iteration 400: 0.037644\n",
      "18 explara\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " mod.cu\r\n",
      "   Creating library C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpt6flmw/cb9c14081688ef216a5ca8a333690808.lib and object C:/Users/gautham/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_58_Stepping_9_GenuineIntel-2.7.11-64/tmpt6flmw/cb9c14081688ef216a5ca8a333690808.exp\r\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#ad-hoc for now\n",
    "for epoch in range(len(companies)):\n",
    "    features['set'] = 'train'\n",
    "    \n",
    "    features.ix[companies[epoch],'set'] = 'test'\n",
    "\n",
    "    X = features[features['set']=='train']\n",
    "    y = X['acquired'].astype('float32')\n",
    "    del X['acquired']\n",
    "    del X['set']\n",
    "    \n",
    "    X_test = features[features['set']=='test']\n",
    "    X_index = X_test.index\n",
    "    y_test = X_test['acquired']\n",
    "    del X_test['acquired']\n",
    "    del X_test['set']\n",
    "    \n",
    "    X_train = X.copy()\n",
    "    y_train = y.copy()\n",
    "    \n",
    "    X_train = np.array(X_train.astype('float32'))\n",
    "    X_test = np.array(X_test.astype('float32'))\n",
    "    \n",
    "    y_unac = (y_train==0).astype('float32')\n",
    "    y_ac = (y_train==1).astype('float32')\n",
    "    y_onehot = pd.DataFrame({'unac':y_unac,'yac':y_ac})\n",
    "    y_onehot = np.array(y_onehot.astype('float32'))\n",
    "    \n",
    "    y_train = np.array(y_train).astype('float32')\n",
    "    \n",
    "    X = theano.shared(X_train.astype('float32')) # initialized on the GPU\n",
    "    y = theano.shared(y_onehot.astype('float32'))\n",
    "    test = T.matrix('test')\n",
    "\n",
    "    num_examples = len(X_train)\n",
    "    nn_input_dim = 229 # input layer dimensionality\n",
    "    nn_output_dim = 2 # output layer dimensionality\n",
    "    nn_hdim2 = 250\n",
    "    nn_hdim1 = 150\n",
    "    nn_hdim = 50\n",
    "    # Gradient descent parameters\n",
    "    epsilon = np.float32(0.01) # learning rate for gradient descent\n",
    "    reg_lambda = np.float32(0.01) # regularization strength \n",
    "\n",
    "    # Shared variables with initial values. We need to learn these.\n",
    "    W1 = theano.shared(np.random.randn(nn_input_dim, nn_hdim2).astype('float32'), name='W1')\n",
    "    b1 = theano.shared(np.zeros(nn_hdim2).astype('float32'), name='b1')\n",
    "    W2 = theano.shared(np.random.randn(nn_hdim2, nn_hdim1).astype('float32'), name='W2')\n",
    "    b2 = theano.shared(np.zeros(nn_hdim1).astype('float32'), name='b2')\n",
    "    W3 = theano.shared(np.random.randn(nn_hdim1, nn_hdim).astype('float32'), name='W2')\n",
    "    b3 = theano.shared(np.zeros(nn_hdim).astype('float32'), name='b2')\n",
    "    W4 = theano.shared(np.random.randn(nn_hdim, nn_output_dim).astype('float32'), name='W2')\n",
    "    b4 = theano.shared(np.zeros(nn_output_dim).astype('float32'), name='b2')\n",
    "\n",
    "    # Forward propagation\n",
    "    z1 = X.dot(W1) + b1\n",
    "    a1 = T.tanh(z1)\n",
    "    z2 = a1.dot(W2) + b2\n",
    "    a2 = T.tanh(z2)\n",
    "    z3 = a2.dot(W3) + b3\n",
    "    a3 = T.tanh(z3)\n",
    "    z4 = a3.dot(W4) + b4\n",
    "    y_hat = T.nnet.softmax(z4) # output probabilties\n",
    "\n",
    "    z1t = test.dot(W1) + b1\n",
    "    a1t = T.tanh(z1t)\n",
    "    z2t = a1t.dot(W2) + b2\n",
    "    a2t = T.tanh(z2t)\n",
    "    z3t = a2t.dot(W3) + b3\n",
    "    a3t = T.tanh(z3t)\n",
    "    z4t = a3t.dot(W4) + b4\n",
    "    y_hatt = T.nnet.softmax(z4t)\n",
    "    prediction_c = y_hatt\n",
    "\n",
    "    # The regularization term\n",
    "    loss_reg = 1./num_examples * reg_lambda/2 * (T.sum(T.sqr(W1))\n",
    "                                                 + T.sum(T.sqr(W2)) \n",
    "                                                 + T.sum(T.sqr(W3))\n",
    "                                                + T.sum(T.sqr(W4))) \n",
    "    # the loss function we want to optimize\n",
    "    loss = T.nnet.categorical_crossentropy(y_hat, y).mean() + loss_reg\n",
    "\n",
    "    # Returns a class prediction\n",
    "    prediction = T.argmax(y_hat, axis=1)\n",
    "\n",
    "    # Theano functions that can be called from our Python code\n",
    "    forward_prop = theano.function([], y_hat)\n",
    "    calculate_loss = theano.function([], loss)\n",
    "    predict = theano.function([], prediction)\n",
    "    predict_one = theano.function([test],prediction_c)\n",
    "\n",
    "    dW4 = T.grad(loss, W4)\n",
    "    db4 = T.grad(loss, b4)\n",
    "    dW3 = T.grad(loss, W3)\n",
    "    db3 = T.grad(loss, b3)\n",
    "    dW2 = T.grad(loss, W2)\n",
    "    db2 = T.grad(loss, b2)\n",
    "    dW1 = T.grad(loss, W1)\n",
    "    db1 = T.grad(loss, b1)\n",
    "\n",
    "    gradient_step = theano.function(\n",
    "        [],\n",
    "        updates=((W4, W4 - epsilon * dW4),\n",
    "                 (W3, W3 - epsilon * dW3),\n",
    "                 (W2, W2 - epsilon * dW2),\n",
    "                 (W1, W1 - epsilon * dW1),\n",
    "                 (b4, b4 - epsilon * db4),\n",
    "                 (b3, b3 - epsilon * db3),\n",
    "                 (b2, b2 - epsilon * db2),\n",
    "                 (b1, b1 - epsilon * db1)))\n",
    "\n",
    "    def build_model(num_passes=501, print_loss=False):\n",
    "\n",
    "        # Re-Initialize the parameters to random values. We need to learn these.\n",
    "        # (Needed in case we call this function multiple times)\n",
    "        np.random.seed(0)\n",
    "        W1.set_value((np.random.randn(nn_input_dim, nn_hdim2) / np.sqrt(nn_input_dim)).astype('float32'))\n",
    "        b1.set_value(np.zeros(nn_hdim2).astype('float32'))\n",
    "        W2.set_value((np.random.randn(nn_hdim2, nn_hdim1) / np.sqrt(nn_hdim2)).astype('float32'))\n",
    "        b2.set_value(np.zeros(nn_hdim1).astype('float32'))\n",
    "        W3.set_value((np.random.randn(nn_hdim1, nn_hdim) / np.sqrt(nn_hdim1)).astype('float32'))\n",
    "        b3.set_value(np.zeros(nn_hdim).astype('float32'))\n",
    "        W4.set_value((np.random.randn(nn_hdim, nn_output_dim) / np.sqrt(nn_hdim)).astype('float32'))\n",
    "        b4.set_value(np.zeros(nn_output_dim).astype('float32'))\n",
    "\n",
    "        # Gradient descent. For each batch...\n",
    "        for i in xrange(0, num_passes):\n",
    "            # This will update our parameters W2, b2, W1 and b1!\n",
    "            gradient_step()\n",
    "\n",
    "            # Optionally print the loss.\n",
    "            # This is expensive because it uses the whole dataset, so we don't want to do it too often.\n",
    "            if print_loss and i % 200 == 0:\n",
    "                print \"Loss after iteration %i: %f\" %(i, calculate_loss())\n",
    "\n",
    "    print epoch,companies[epoch]\n",
    "    build_model(print_loss=True)\n",
    "    \n",
    "    y_test_pred = pd.DataFrame(predict_one(X_test),index=X_index)\n",
    "    y_test_pred = y_test_pred*100\n",
    "    \n",
    "    #y_test_pred.reset_index(inplace=True)\n",
    "    y_test_pred['unacquire'] = y_test_pred[0]\n",
    "    y_test_pred['acquire'] = y_test_pred[1]\n",
    "    del y_test_pred[0]\n",
    "    del y_test_pred[1]\n",
    "    \n",
    "    def add_to_preds(row):\n",
    "        comp_pred.ix[row['index'],'count'] = comp_pred.ix[row['index'],'count']+1\n",
    "        comp_pred.ix[row['index'],'p_acquire'] = comp_pred.ix[row['index'],'p_acquire']+row['acquire']\n",
    "        comp_pred.ix[row['index'],'p_unacquire'] = comp_pred.ix[row['index'],'p_unacquire']+row['unacquire']\n",
    "\n",
    "    y_test_pred.reset_index(inplace=True)\n",
    "    y_test_pred.apply(add_to_preds,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>unacquire</th>\n",
       "      <th>acquire</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>zipdial</td>\n",
       "      <td>97.663696</td>\n",
       "      <td>2.336304</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  unacquire   acquire\n",
       "0  zipdial  97.663696  2.336304"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test_pred\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "zipdial    1\n",
       "Name: acquired, dtype: object"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acquired</th>\n",
       "      <th>count</th>\n",
       "      <th>p_acquire</th>\n",
       "      <th>p_unacquire</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fitho</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>53.746384</td>\n",
       "      <td>46.253620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>konotor</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>76.192780</td>\n",
       "      <td>23.807217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>realty compass</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>65.332588</td>\n",
       "      <td>34.667404</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               acquired  count  p_acquire  p_unacquire\n",
       "fitho                 1      1  53.746384    46.253620\n",
       "konotor               1      1  76.192780    23.807217\n",
       "realty compass        1      1  65.332588    34.667404"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#13\n",
    "comp_pred[(comp_pred['acquired']=='1') & (comp_pred['p_acquire']>comp_pred['p_unacquire'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "comp_pred['acc_percent'] = comp_pred['p_acquire']/comp_pred['count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "comp_pred.sort_values('acc_percent',ascending=False,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comp_pred['colors'] = comp_pred['acquired'].apply(lambda x: '#00FF00' if x=='0' else '#FF0000')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>acquired</th>\n",
       "      <th>count</th>\n",
       "      <th>p_acquire</th>\n",
       "      <th>p_unacquire</th>\n",
       "      <th>acc_percent</th>\n",
       "      <th>colors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>housing</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>mobikwik</th>\n",
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       "      <th>native5</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>jugnoo</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>bankbazaar</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>#00FF00</td>\n",
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       "      <th>konotor</th>\n",
       "      <td>1</td>\n",
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       "      <th>jabong</th>\n",
       "      <td>0</td>\n",
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       "      <th>magicbricks</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>74.412033</td>\n",
       "      <td>25.587971</td>\n",
       "      <td>74.412033</td>\n",
       "      <td>#00FF00</td>\n",
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       "    <tr>\n",
       "      <th>realty compass</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>65.332588</td>\n",
       "      <td>34.667404</td>\n",
       "      <td>65.332588</td>\n",
       "      <td>#FF0000</td>\n",
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       "    <tr>\n",
       "      <th>freshdesk</th>\n",
       "      <td>0</td>\n",
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       "      <td>58.451973</td>\n",
       "      <td>#00FF00</td>\n",
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       "    <tr>\n",
       "      <th>indusnet indus net</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>44.706734</td>\n",
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       "      <td>#00FF00</td>\n",
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       "    <tr>\n",
       "      <th>explara</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53.858463</td>\n",
       "      <td>46.141537</td>\n",
       "      <td>53.858463</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitho</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>53.746384</td>\n",
       "      <td>46.253620</td>\n",
       "      <td>53.746384</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quikr</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53.532219</td>\n",
       "      <td>46.467785</td>\n",
       "      <td>53.532219</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tastykhana</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>49.703560</td>\n",
       "      <td>50.296444</td>\n",
       "      <td>49.703560</td>\n",
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       "    <tr>\n",
       "      <th>tommyjams</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>55.102688</td>\n",
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       "    <tr>\n",
       "      <th>heckyl</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>43.243988</td>\n",
       "      <td>56.756012</td>\n",
       "      <td>43.243988</td>\n",
       "      <td>#00FF00</td>\n",
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       "    <tr>\n",
       "      <th>martmobi</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>59.188877</td>\n",
       "      <td>40.811115</td>\n",
       "      <td>#FF0000</td>\n",
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       "    <tr>\n",
       "      <th>backpacker</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>35.695862</td>\n",
       "      <td>64.304138</td>\n",
       "      <td>35.695862</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardekho</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>32.116104</td>\n",
       "      <td>67.883896</td>\n",
       "      <td>32.116104</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shifu</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>30.376429</td>\n",
       "      <td>69.623566</td>\n",
       "      <td>30.376429</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meru</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.326530</td>\n",
       "      <td>69.673470</td>\n",
       "      <td>30.326530</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freecharge</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>28.473598</td>\n",
       "      <td>71.526405</td>\n",
       "      <td>28.473598</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>urban ladder</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>27.671810</td>\n",
       "      <td>72.328186</td>\n",
       "      <td>27.671810</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unmetric</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>25.447807</td>\n",
       "      <td>74.552193</td>\n",
       "      <td>25.447807</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>homebuy360</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22.258287</td>\n",
       "      <td>77.741714</td>\n",
       "      <td>22.258287</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frilp</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20.817049</td>\n",
       "      <td>79.182953</td>\n",
       "      <td>20.817049</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tinyowl</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.700241</td>\n",
       "      <td>79.299759</td>\n",
       "      <td>20.700241</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jumkey</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.087277</td>\n",
       "      <td>97.912720</td>\n",
       "      <td>2.087277</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delhivery</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.055963</td>\n",
       "      <td>97.944038</td>\n",
       "      <td>2.055963</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbus</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.971768</td>\n",
       "      <td>98.028229</td>\n",
       "      <td>1.971768</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inmobi</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.906315</td>\n",
       "      <td>98.093681</td>\n",
       "      <td>1.906315</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hackerrank</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.841999</td>\n",
       "      <td>98.157997</td>\n",
       "      <td>1.841999</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qikpod</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.680373</td>\n",
       "      <td>98.319626</td>\n",
       "      <td>1.680373</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unicommerce</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.660425</td>\n",
       "      <td>98.339584</td>\n",
       "      <td>1.660425</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parcelled</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.584777</td>\n",
       "      <td>98.415222</td>\n",
       "      <td>1.584777</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doowup</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.464649</td>\n",
       "      <td>98.535355</td>\n",
       "      <td>1.464649</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jombay</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.454256</td>\n",
       "      <td>98.545746</td>\n",
       "      <td>1.454256</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pubmatic</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.431026</td>\n",
       "      <td>98.568977</td>\n",
       "      <td>1.431026</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shopify</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.296796</td>\n",
       "      <td>98.703209</td>\n",
       "      <td>1.296796</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>practo</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.268739</td>\n",
       "      <td>98.731262</td>\n",
       "      <td>1.268739</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal analytics</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.167469</td>\n",
       "      <td>98.832535</td>\n",
       "      <td>1.167469</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instamojo</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.115666</td>\n",
       "      <td>98.884331</td>\n",
       "      <td>1.115666</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>webengage</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.051854</td>\n",
       "      <td>98.948143</td>\n",
       "      <td>1.051854</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>babyoye</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.905108</td>\n",
       "      <td>99.094894</td>\n",
       "      <td>0.905108</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pepperfry</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.750735</td>\n",
       "      <td>99.249260</td>\n",
       "      <td>0.750735</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>liquavista</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.623663</td>\n",
       "      <td>99.376335</td>\n",
       "      <td>0.623663</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manthan</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.612750</td>\n",
       "      <td>99.387253</td>\n",
       "      <td>0.612750</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>appiterate</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.597120</td>\n",
       "      <td>99.402878</td>\n",
       "      <td>0.597120</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mobstac</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.461796</td>\n",
       "      <td>99.538200</td>\n",
       "      <td>0.461796</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>madrat</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.443014</td>\n",
       "      <td>99.556992</td>\n",
       "      <td>0.443014</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carwale</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.428573</td>\n",
       "      <td>99.571426</td>\n",
       "      <td>0.428573</td>\n",
       "      <td>#FF0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>limeroad</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.259437</td>\n",
       "      <td>99.740562</td>\n",
       "      <td>0.259437</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wittyfeed</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.224505</td>\n",
       "      <td>99.775497</td>\n",
       "      <td>0.224505</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supportbee</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.188852</td>\n",
       "      <td>99.811150</td>\n",
       "      <td>0.188852</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pratilipi</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.173226</td>\n",
       "      <td>99.826767</td>\n",
       "      <td>0.173226</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vauntz</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.167127</td>\n",
       "      <td>99.832878</td>\n",
       "      <td>0.167127</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>witworks</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.163312</td>\n",
       "      <td>99.836693</td>\n",
       "      <td>0.163312</td>\n",
       "      <td>#00FF00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   acquired  count  p_acquire  p_unacquire  acc_percent  \\\n",
       "housing                   0      1  95.452606     4.547390    95.452606   \n",
       "mobikwik                  0      1  87.660965    12.339038    87.660965   \n",
       "antuit                    0      1  83.028687    16.971319    83.028687   \n",
       "exotel                    0      1  81.089005    18.910997    81.089005   \n",
       "native5                   0      1  79.597694    20.402313    79.597694   \n",
       "jugnoo                    0      1  77.294693    22.705309    77.294693   \n",
       "bankbazaar                0      1  76.652275    23.347729    76.652275   \n",
       "konotor                   1      1  76.192780    23.807217    76.192780   \n",
       "jabong                    0      1  75.739975    24.260027    75.739975   \n",
       "magicbricks               0      1  74.412033    25.587971    74.412033   \n",
       "realty compass            1      1  65.332588    34.667404    65.332588   \n",
       "freshdesk                 0      1  58.451973    41.548019    58.451973   \n",
       "indusnet indus net        0      1  55.293262    44.706734    55.293262   \n",
       "explara                   0      1  53.858463    46.141537    53.858463   \n",
       "fitho                     1      1  53.746384    46.253620    53.746384   \n",
       "quikr                     0      1  53.532219    46.467785    53.532219   \n",
       "tastykhana                1      1  49.703560    50.296444    49.703560   \n",
       "tommyjams                 0      1  44.897316    55.102688    44.897316   \n",
       "heckyl                    0      1  43.243988    56.756012    43.243988   \n",
       "martmobi                  1      1  40.811115    59.188877    40.811115   \n",
       "backpacker                0      1  35.695862    64.304138    35.695862   \n",
       "cardekho                  0      1  32.116104    67.883896    32.116104   \n",
       "shifu                     1      1  30.376429    69.623566    30.376429   \n",
       "meru                      0      1  30.326530    69.673470    30.326530   \n",
       "freecharge                1      1  28.473598    71.526405    28.473598   \n",
       "urban ladder              0      1  27.671810    72.328186    27.671810   \n",
       "unmetric                  0      1  25.447807    74.552193    25.447807   \n",
       "homebuy360                1      1  22.258287    77.741714    22.258287   \n",
       "frilp                     1      1  20.817049    79.182953    20.817049   \n",
       "tinyowl                   0      1  20.700241    79.299759    20.700241   \n",
       "...                     ...    ...        ...          ...          ...   \n",
       "jumkey                    0      1   2.087277    97.912720     2.087277   \n",
       "delhivery                 0      1   2.055963    97.944038     2.055963   \n",
       "redbus                    1      1   1.971768    98.028229     1.971768   \n",
       "inmobi                    0      1   1.906315    98.093681     1.906315   \n",
       "hackerrank                0      1   1.841999    98.157997     1.841999   \n",
       "qikpod                    0      1   1.680373    98.319626     1.680373   \n",
       "unicommerce               0      1   1.660425    98.339584     1.660425   \n",
       "parcelled                 0      1   1.584777    98.415222     1.584777   \n",
       "doowup                    1      1   1.464649    98.535355     1.464649   \n",
       "jombay                    0      1   1.454256    98.545746     1.454256   \n",
       "pubmatic                  0      1   1.431026    98.568977     1.431026   \n",
       "shopify                   0      1   1.296796    98.703209     1.296796   \n",
       "practo                    0      1   1.268739    98.731262     1.268739   \n",
       "fractal analytics         0      1   1.167469    98.832535     1.167469   \n",
       "instamojo                 0      1   1.115666    98.884331     1.115666   \n",
       "webengage                 0      1   1.051854    98.948143     1.051854   \n",
       "babyoye                   1      1   0.905108    99.094894     0.905108   \n",
       "pepperfry                 0      1   0.750735    99.249260     0.750735   \n",
       "liquavista                1      1   0.623663    99.376335     0.623663   \n",
       "manthan                   0      1   0.612750    99.387253     0.612750   \n",
       "appiterate                1      1   0.597120    99.402878     0.597120   \n",
       "mobstac                   0      1   0.461796    99.538200     0.461796   \n",
       "madrat                    0      1   0.443014    99.556992     0.443014   \n",
       "carwale                   1      1   0.428573    99.571426     0.428573   \n",
       "limeroad                  0      1   0.259437    99.740562     0.259437   \n",
       "wittyfeed                 0      1   0.224505    99.775497     0.224505   \n",
       "supportbee                0      1   0.188852    99.811150     0.188852   \n",
       "pratilipi                 0      1   0.173226    99.826767     0.173226   \n",
       "vauntz                    0      1   0.167127    99.832878     0.167127   \n",
       "witworks                  0      1   0.163312    99.836693     0.163312   \n",
       "\n",
       "                     colors  \n",
       "housing             #00FF00  \n",
       "mobikwik            #00FF00  \n",
       "antuit              #00FF00  \n",
       "exotel              #00FF00  \n",
       "native5             #00FF00  \n",
       "jugnoo              #00FF00  \n",
       "bankbazaar          #00FF00  \n",
       "konotor             #FF0000  \n",
       "jabong              #00FF00  \n",
       "magicbricks         #00FF00  \n",
       "realty compass      #FF0000  \n",
       "freshdesk           #00FF00  \n",
       "indusnet indus net  #00FF00  \n",
       "explara             #00FF00  \n",
       "fitho               #FF0000  \n",
       "quikr               #00FF00  \n",
       "tastykhana          #FF0000  \n",
       "tommyjams           #00FF00  \n",
       "heckyl              #00FF00  \n",
       "martmobi            #FF0000  \n",
       "backpacker          #00FF00  \n",
       "cardekho            #00FF00  \n",
       "shifu               #FF0000  \n",
       "meru                #00FF00  \n",
       "freecharge          #FF0000  \n",
       "urban ladder        #00FF00  \n",
       "unmetric            #00FF00  \n",
       "homebuy360          #FF0000  \n",
       "frilp               #FF0000  \n",
       "tinyowl             #00FF00  \n",
       "...                     ...  \n",
       "jumkey              #00FF00  \n",
       "delhivery           #00FF00  \n",
       "redbus              #FF0000  \n",
       "inmobi              #00FF00  \n",
       "hackerrank          #00FF00  \n",
       "qikpod              #00FF00  \n",
       "unicommerce         #00FF00  \n",
       "parcelled           #00FF00  \n",
       "doowup              #FF0000  \n",
       "jombay              #00FF00  \n",
       "pubmatic            #00FF00  \n",
       "shopify             #00FF00  \n",
       "practo              #00FF00  \n",
       "fractal analytics   #00FF00  \n",
       "instamojo           #00FF00  \n",
       "webengage           #00FF00  \n",
       "babyoye             #FF0000  \n",
       "pepperfry           #00FF00  \n",
       "liquavista          #FF0000  \n",
       "manthan             #00FF00  \n",
       "appiterate          #FF0000  \n",
       "mobstac             #00FF00  \n",
       "madrat              #00FF00  \n",
       "carwale             #FF0000  \n",
       "limeroad            #00FF00  \n",
       "wittyfeed           #00FF00  \n",
       "supportbee          #00FF00  \n",
       "pratilipi           #00FF00  \n",
       "vauntz              #00FF00  \n",
       "witworks            #00FF00  \n",
       "\n",
       "[105 rows x 6 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comp_pred.reset_index(inplace=True)\n",
    "comp_pred['index2'] = comp_pred['index']\n",
    "comp_pred.set_index('index2',inplace=True)\n",
    "\n",
    "#del comp_pred['level_0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "        if (typeof (window._bokeh_onload_callbacks) === \"undefined\") {\n",
       "          window._bokeh_onload_callbacks = [];\n",
       "        }\n",
       "      \n",
       "        function run_callbacks() {\n",
       "          window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "          delete window._bokeh_onload_callbacks\n",
       "          console.info(\"Bokeh: all callbacks have finished\");\n",
       "        }\n",
       "      \n",
       "        function load_libs(js_urls, callback) {\n",
       "          window._bokeh_onload_callbacks.push(callback);\n",
       "          if (window._bokeh_is_loading > 0) {\n",
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       "            s.onerror = function() {\n",
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       "            console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.11.0.min.css\");\n",
       "            Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.11.0.min.css\");\n",
       "            console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.0.min.css\");\n",
       "            Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.0.min.css\");\n",
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       "          load_libs(js_urls, function() {\n",
       "            console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
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       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span>BokehJS successfully loaded.</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.charts import Bar, output_file, show\n",
    "from bokeh.charts.attributes import ColorAttr, CatAttr\n",
    "import bokeh.plotting as bk\n",
    "bk.output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "\n",
       "    <div class=\"plotdiv\" id=\"023d66d3-d845-4192-9cb7-376e85a00e05\"></div>\n",
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       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\") {\n",
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       "      console.info(\"Bokeh: all callbacks have finished\");\n",
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       "  \n",
       "    function load_libs(js_urls, callback) {\n",
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       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      if (js_urls == null || js_urls.length === 0) {\n",
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       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
       "          window._bokeh_is_loading--;\n",
       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"023d66d3-d845-4192-9cb7-376e85a00e05\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '023d66d3-d845-4192-9cb7-376e85a00e05' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        Bokeh.$(function() {\n",
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       "            var render_items = [{\"notebook_comms_target\": \"84e6eb6d-5536-4bda-b064-5d07b6bc946c\", \"docid\": \"e02e8eb9-c664-45ba-b1b2-786eb16a7092\", \"elementid\": \"023d66d3-d845-4192-9cb7-376e85a00e05\", \"modelid\": \"da27af04-14f6-4cab-9dc3-831012ab1063\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "        });\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<bokeh.io._CommsHandle at 0x1b1d8748>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = Bar(comp_pred[:50]\n",
    "        ,CatAttr(columns=['index'], sort=False)\n",
    "        ,values='acc_percent',color='colors',ylabel='% chance to acquire',xlabel='company')\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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