Word2Vec_News_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fun With Word2Vec: News Headlines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we will:\n",
    "* Clean text data (news article titles and headlines from [this paper](https://www.researchgate.net/publication/322652391_Multi-Source_Social_Feedback_of_Online_News_Feeds))\n",
    "* Use Word2Vec to create word embeddings, and visualize word clusters on a t-SNE plot\n",
    "* Do the same with titles, by averaging the word vectors in each title\n",
    "* Train a model based on title embedding, topic, time since publishing, and sentiment, in order to predict the article's popularity on each platform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import gensim\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set options for pandas\n",
    "\n",
    "def start():\n",
    "    options = {\n",
    "        'display': {\n",
    "            'max_columns': None,\n",
    "            'max_colwidth': 25,\n",
    "            'expand_frame_repr': False,  # Don't wrap to multiple pages\n",
    "            'max_rows': 14,\n",
    "            'max_seq_items': 50,         # Max length of printed sequence\n",
    "            'precision': 4,\n",
    "            'show_dimensions': False\n",
    "        },\n",
    "        'mode': {\n",
    "            'chained_assignment': None   # Controls SettingWithCopyWarning\n",
    "        }\n",
    "    }\n",
    "\n",
    "    for category, option in options.items():\n",
    "        for op, value in option.items():\n",
    "            pd.set_option(f'{category}.{op}', value)  # Python 3.6+\n",
    "\n",
    "start()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_data = pd.read_csv('News_Final.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IDLink</th>\n",
       "      <th>Title</th>\n",
       "      <th>Headline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Topic</th>\n",
       "      <th>PublishDate</th>\n",
       "      <th>SentimentTitle</th>\n",
       "      <th>SentimentHeadline</th>\n",
       "      <th>Facebook</th>\n",
       "      <th>GooglePlus</th>\n",
       "      <th>LinkedIn</th>\n",
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       "      <td>99248.0</td>\n",
       "      <td>Obama Lays Wreath at ...</td>\n",
       "      <td>Obama Lays Wreath at ...</td>\n",
       "      <td>USA TODAY</td>\n",
       "      <td>obama</td>\n",
       "      <td>2002-04-02 00:00:00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0.0533</td>\n",
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       "      <td>A Look at the Health ...</td>\n",
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       "      <td>Bloomberg</td>\n",
       "      <td>economy</td>\n",
       "      <td>2008-09-20 00:00:00</td>\n",
       "      <td>0.2083</td>\n",
       "      <td>-0.1564</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18828.0</td>\n",
       "      <td>Nouriel Roubini: Glob...</td>\n",
       "      <td>Nouriel Roubini, NYU ...</td>\n",
       "      <td>Bloomberg</td>\n",
       "      <td>economy</td>\n",
       "      <td>2012-01-28 00:00:00</td>\n",
       "      <td>-0.4252</td>\n",
       "      <td>0.1398</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>27788.0</td>\n",
       "      <td>Finland GDP Expands I...</td>\n",
       "      <td>Finland's economy exp...</td>\n",
       "      <td>RTT News</td>\n",
       "      <td>economy</td>\n",
       "      <td>2015-03-01 00:06:00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0261</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27789.0</td>\n",
       "      <td>Tourism, govt spendin...</td>\n",
       "      <td>Tourism and public sp...</td>\n",
       "      <td>The Nation - Thailand...</td>\n",
       "      <td>economy</td>\n",
       "      <td>2015-03-01 00:11:00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.1411</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    IDLink                     Title                  Headline                    Source    Topic          PublishDate  SentimentTitle  SentimentHeadline  Facebook  GooglePlus  LinkedIn\n",
       "0  99248.0  Obama Lays Wreath at ...  Obama Lays Wreath at ...                 USA TODAY    obama  2002-04-02 00:00:00          0.0000            -0.0533        -1          -1        -1\n",
       "1  10423.0  A Look at the Health ...  Tim Haywood, investme...                 Bloomberg  economy  2008-09-20 00:00:00          0.2083            -0.1564        -1          -1        -1\n",
       "2  18828.0  Nouriel Roubini: Glob...  Nouriel Roubini, NYU ...                 Bloomberg  economy  2012-01-28 00:00:00         -0.4252             0.1398        -1          -1        -1\n",
       "3  27788.0  Finland GDP Expands I...  Finland's economy exp...                  RTT News  economy  2015-03-01 00:06:00          0.0000             0.0261        -1          -1        -1\n",
       "4  27789.0  Tourism, govt spendin...  Tourism and public sp...  The Nation - Thailand...  economy  2015-03-01 00:11:00          0.0000             0.1411        -1          -1        -1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing\n",
    "\n",
    "We'll start by doing some cleaning and manipulation on the text data. In particular, we need to:\n",
    "1. Get individual words from article titles\n",
    "2. Use NLTK to filter out stopwords, punctuation, and any words that are not known to Word2Vec\n",
    "3. Turn the words into vector representations using Word2Vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(93239,)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grab all the article titles\n",
    "article_titles = main_data['Title']\n",
    "article_titles.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['obama',\n",
       " 'lays',\n",
       " 'wreath',\n",
       " 'arlington',\n",
       " 'national',\n",
       " 'cemetery',\n",
       " 'look',\n",
       " 'health',\n",
       " 'chinese',\n",
       " 'economy']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a list of strings, where each string is an article title\n",
    "titles_list = [title for title in article_titles]\n",
    "\n",
    "# Collapse the list of strings into a single long string for processing\n",
    "big_title_string = ' '.join(titles_list)\n",
    "\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "# Tokenize the string into words\n",
    "tokens = word_tokenize(big_title_string)\n",
    "\n",
    "# Remove non-alphabetic tokens, such as punctuation\n",
    "words = [word.lower() for word in tokens if word.isalpha()]\n",
    "\n",
    "# Filter out stopwords\n",
    "from nltk.corpus import stopwords\n",
    "stop_words = set(stopwords.words('english'))\n",
    "\n",
    "words = [word for word in words if not word in stop_words]\n",
    "\n",
    "# Print first 10 words\n",
    "words[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "300"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load Word2Vec model (trained on an enormous Google corpus)\n",
    "model = gensim.models.KeyedVectors.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary = True) \n",
    "\n",
    "# Check dimension of word vectors\n",
    "model.vector_size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What a word vector looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.18847656, -0.0703125 , -0.16113281,  0.03857422, -0.04956055,\n",
       "       -0.23046875, -0.15722656, -0.16992188,  0.17089844, -0.01208496,\n",
       "       -0.16015625, -0.02770996,  0.05932617,  0.00491333, -0.13769531,\n",
       "        0.39257812,  0.06201172,  0.30859375,  0.12890625, -0.07373047],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "economy_vec = model['economy']\n",
    "economy_vec[:20] # First 20 components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21805, 300)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the list of vectors to include only those that Word2Vec has a vector for\n",
    "vector_list = [model[word] for word in words if word in model.vocab]\n",
    "\n",
    "# Create a list of the words corresponding to these vectors\n",
    "words_filtered = [word for word in words if word in model.vocab]\n",
    "\n",
    "# Zip the words together with their vector representations\n",
    "word_vec_zip = zip(words_filtered, vector_list)\n",
    "\n",
    "# Cast to a dict so we can turn it into a dataframe\n",
    "word_vec_dict = dict(word_vec_zip)\n",
    "df = pd.DataFrame.from_dict(word_vec_dict, orient='index')\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a bunch of tidy vectors in a DataFrame. Each column is the word's component for that dimension (300 dimensions total)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "      <th>221</th>\n",
       "      <th>222</th>\n",
       "      <th>223</th>\n",
       "      <th>224</th>\n",
       "      <th>225</th>\n",
       "      <th>226</th>\n",
       "      <th>227</th>\n",
       "      <th>228</th>\n",
       "      <th>229</th>\n",
       "      <th>230</th>\n",
       "      <th>231</th>\n",
       "      <th>232</th>\n",
       "      <th>233</th>\n",
       "      <th>234</th>\n",
       "      <th>235</th>\n",
       "      <th>236</th>\n",
       "      <th>237</th>\n",
       "      <th>238</th>\n",
       "      <th>239</th>\n",
       "      <th>240</th>\n",
       "      <th>241</th>\n",
       "      <th>242</th>\n",
       "      <th>243</th>\n",
       "      <th>244</th>\n",
       "      <th>245</th>\n",
       "      <th>246</th>\n",
       "      <th>247</th>\n",
       "      <th>248</th>\n",
       "      <th>249</th>\n",
       "      <th>250</th>\n",
       "      <th>251</th>\n",
       "      <th>252</th>\n",
       "      <th>253</th>\n",
       "      <th>254</th>\n",
       "      <th>255</th>\n",
       "      <th>256</th>\n",
       "      <th>257</th>\n",
       "      <th>258</th>\n",
       "      <th>259</th>\n",
       "      <th>260</th>\n",
       "      <th>261</th>\n",
       "      <th>262</th>\n",
       "      <th>263</th>\n",
       "      <th>264</th>\n",
       "      <th>265</th>\n",
       "      <th>266</th>\n",
       "      <th>267</th>\n",
       "      <th>268</th>\n",
       "      <th>269</th>\n",
       "      <th>270</th>\n",
       "      <th>271</th>\n",
       "      <th>272</th>\n",
       "      <th>273</th>\n",
       "      <th>274</th>\n",
       "      <th>275</th>\n",
       "      <th>276</th>\n",
       "      <th>277</th>\n",
       "      <th>278</th>\n",
       "      <th>279</th>\n",
       "      <th>280</th>\n",
       "      <th>281</th>\n",
       "      <th>282</th>\n",
       "      <th>283</th>\n",
       "      <th>284</th>\n",
       "      <th>285</th>\n",
       "      <th>286</th>\n",
       "      <th>287</th>\n",
       "      <th>288</th>\n",
       "      <th>289</th>\n",
       "      <th>290</th>\n",
       "      <th>291</th>\n",
       "      <th>292</th>\n",
       "      <th>293</th>\n",
       "      <th>294</th>\n",
       "      <th>295</th>\n",
       "      <th>296</th>\n",
       "      <th>297</th>\n",
       "      <th>298</th>\n",
       "      <th>299</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>obama</th>\n",
       "      <td>-0.1235</td>\n",
       "      <td>0.0723</td>\n",
       "      <td>0.1719</td>\n",
       "      <td>0.4023</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>-0.3027</td>\n",
       "      <td>-0.0449</td>\n",
       "      <td>-0.0153</td>\n",
       "      <td>0.1719</td>\n",
       "      <td>-0.0435</td>\n",
       "      <td>-0.1328</td>\n",
       "      <td>-0.4590</td>\n",
       "      <td>-0.5273</td>\n",
       "      <td>0.1396</td>\n",
       "      <td>-0.1235</td>\n",
       "      <td>0.4219</td>\n",
       "      <td>-0.1465</td>\n",
       "      <td>0.0413</td>\n",
       "      <td>0.0299</td>\n",
       "      <td>-0.3574</td>\n",
       "      <td>0.0444</td>\n",
       "      <td>-0.0938</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>-0.1543</td>\n",
       "      <td>-0.2295</td>\n",
       "      <td>0.3008</td>\n",
       "      <td>-0.4277</td>\n",
       "      <td>-0.0801</td>\n",
       "      <td>0.3164</td>\n",
       "      <td>-0.2021</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.2061</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>-0.0908</td>\n",
       "      <td>-0.0581</td>\n",
       "      <td>0.0996</td>\n",
       "      <td>-0.2256</td>\n",
       "      <td>0.0630</td>\n",
       "      <td>0.2002</td>\n",
       "      <td>0.1680</td>\n",
       "      <td>0.0233</td>\n",
       "      <td>-0.2451</td>\n",
       "      <td>0.3672</td>\n",
       "      <td>0.0840</td>\n",
       "      <td>0.1211</td>\n",
       "      <td>0.1582</td>\n",
       "      <td>0.3594</td>\n",
       "      <td>-0.3320</td>\n",
       "      <td>-0.2598</td>\n",
       "      <td>-0.0337</td>\n",
       "      <td>-0.1357</td>\n",
       "      <td>-0.0903</td>\n",
       "      <td>0.1943</td>\n",
       "      <td>0.0884</td>\n",
       "      <td>0.2520</td>\n",
       "      <td>0.0496</td>\n",
       "      <td>-0.3027</td>\n",
       "      <td>-0.0820</td>\n",
       "      <td>0.1807</td>\n",
       "      <td>-0.2988</td>\n",
       "      <td>0.1768</td>\n",
       "      <td>0.2021</td>\n",
       "      <td>-0.2793</td>\n",
       "      <td>-0.1377</td>\n",
       "      <td>0.0415</td>\n",
       "      <td>-0.2949</td>\n",
       "      <td>-0.1250</td>\n",
       "      <td>-0.3301</td>\n",
       "      <td>-0.2100</td>\n",
       "      <td>0.0366</td>\n",
       "      <td>0.1328</td>\n",
       "      <td>0.5625</td>\n",
       "      <td>0.1807</td>\n",
       "      <td>0.1543</td>\n",
       "      <td>-0.1250</td>\n",
       "      <td>-0.2236</td>\n",
       "      <td>0.3301</td>\n",
       "      <td>0.0903</td>\n",
       "      <td>-0.1777</td>\n",
       "      <td>0.0019</td>\n",
       "      <td>-0.1621</td>\n",
       "      <td>0.3223</td>\n",
       "      <td>-0.0977</td>\n",
       "      <td>-0.0544</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>-0.2715</td>\n",
       "      <td>0.1943</td>\n",
       "      <td>0.0238</td>\n",
       "      <td>0.0854</td>\n",
       "      <td>-0.0674</td>\n",
       "      <td>0.1504</td>\n",
       "      <td>-0.0811</td>\n",
       "      <td>-0.3125</td>\n",
       "      <td>-0.1963</td>\n",
       "      <td>0.1611</td>\n",
       "      <td>-0.2354</td>\n",
       "      <td>-0.1533</td>\n",
       "      <td>0.6562</td>\n",
       "      <td>-0.0952</td>\n",
       "      <td>0.1914</td>\n",
       "      <td>-0.1514</td>\n",
       "      <td>0.5469</td>\n",
       "      <td>0.0430</td>\n",
       "      <td>-0.1807</td>\n",
       "      <td>0.0889</td>\n",
       "      <td>-0.2295</td>\n",
       "      <td>0.1367</td>\n",
       "      <td>-0.0527</td>\n",
       "      <td>-0.5547</td>\n",
       "      <td>0.1387</td>\n",
       "      <td>-0.5078</td>\n",
       "      <td>0.2832</td>\n",
       "      <td>0.2910</td>\n",
       "      <td>0.3672</td>\n",
       "      <td>0.1494</td>\n",
       "      <td>0.1235</td>\n",
       "      <td>-0.4824</td>\n",
       "      <td>-0.1465</td>\n",
       "      <td>0.0479</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>-0.0603</td>\n",
       "      <td>0.1396</td>\n",
       "      <td>-0.0554</td>\n",
       "      <td>0.5234</td>\n",
       "      <td>0.0903</td>\n",
       "      <td>-0.0933</td>\n",
       "      <td>0.1118</td>\n",
       "      <td>0.0198</td>\n",
       "      <td>-0.1001</td>\n",
       "      <td>-0.3516</td>\n",
       "      <td>-0.0388</td>\n",
       "      <td>0.3438</td>\n",
       "      <td>-0.0422</td>\n",
       "      <td>-0.0562</td>\n",
       "      <td>-0.1196</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>-0.2080</td>\n",
       "      <td>0.4785</td>\n",
       "      <td>-0.0190</td>\n",
       "      <td>0.3105</td>\n",
       "      <td>-0.3379</td>\n",
       "      <td>0.0552</td>\n",
       "      <td>0.0398</td>\n",
       "      <td>-0.2256</td>\n",
       "      <td>-0.1143</td>\n",
       "      <td>-0.0209</td>\n",
       "      <td>-0.1348</td>\n",
       "      <td>0.0635</td>\n",
       "      <td>-0.3164</td>\n",
       "      <td>0.3730</td>\n",
       "      <td>-0.6016</td>\n",
       "      <td>-0.1816</td>\n",
       "      <td>-0.3379</td>\n",
       "      <td>-0.4629</td>\n",
       "      <td>-0.2031</td>\n",
       "      <td>0.2061</td>\n",
       "      <td>0.2451</td>\n",
       "      <td>-0.2109</td>\n",
       "      <td>0.1357</td>\n",
       "      <td>-0.0403</td>\n",
       "      <td>0.2129</td>\n",
       "      <td>-0.1592</td>\n",
       "      <td>0.0630</td>\n",
       "      <td>-0.2021</td>\n",
       "      <td>-0.6758</td>\n",
       "      <td>0.1709</td>\n",
       "      <td>0.0447</td>\n",
       "      <td>-0.0859</td>\n",
       "      <td>0.2812</td>\n",
       "      <td>-0.4082</td>\n",
       "      <td>0.1123</td>\n",
       "      <td>-0.0007</td>\n",
       "      <td>0.0078</td>\n",
       "      <td>-0.0422</td>\n",
       "      <td>-0.0476</td>\n",
       "      <td>0.3145</td>\n",
       "      <td>-0.4785</td>\n",
       "      <td>0.2334</td>\n",
       "      <td>-0.4199</td>\n",
       "      <td>-0.0884</td>\n",
       "      <td>0.0938</td>\n",
       "      <td>-0.3809</td>\n",
       "      <td>-0.0972</td>\n",
       "      <td>0.0322</td>\n",
       "      <td>0.2227</td>\n",
       "      <td>-0.4121</td>\n",
       "      <td>-0.1201</td>\n",
       "      <td>-0.0153</td>\n",
       "      <td>0.0698</td>\n",
       "      <td>0.2949</td>\n",
       "      <td>0.3516</td>\n",
       "      <td>-0.0030</td>\n",
       "      <td>0.1914</td>\n",
       "      <td>0.0035</td>\n",
       "      <td>0.1387</td>\n",
       "      <td>-0.4492</td>\n",
       "      <td>-0.1621</td>\n",
       "      <td>-0.2197</td>\n",
       "      <td>-0.2256</td>\n",
       "      <td>-0.8711</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.0503</td>\n",
       "      <td>-0.7656</td>\n",
       "      <td>-0.1191</td>\n",
       "      <td>-0.2715</td>\n",
       "      <td>0.4805</td>\n",
       "      <td>-0.0491</td>\n",
       "      <td>-0.3320</td>\n",
       "      <td>0.1050</td>\n",
       "      <td>-0.0903</td>\n",
       "      <td>0.1455</td>\n",
       "      <td>-0.3145</td>\n",
       "      <td>-0.2295</td>\n",
       "      <td>0.1582</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>-0.2598</td>\n",
       "      <td>-0.2539</td>\n",
       "      <td>-0.1157</td>\n",
       "      <td>-0.2100</td>\n",
       "      <td>-0.3594</td>\n",
       "      <td>0.0781</td>\n",
       "      <td>0.1060</td>\n",
       "      <td>0.2051</td>\n",
       "      <td>0.2412</td>\n",
       "      <td>-0.0544</td>\n",
       "      <td>0.2773</td>\n",
       "      <td>0.3711</td>\n",
       "      <td>0.0815</td>\n",
       "      <td>-0.0664</td>\n",
       "      <td>0.3457</td>\n",
       "      <td>-0.1118</td>\n",
       "      <td>-0.0957</td>\n",
       "      <td>-0.3945</td>\n",
       "      <td>-0.0439</td>\n",
       "      <td>0.2412</td>\n",
       "      <td>0.2344</td>\n",
       "      <td>0.3555</td>\n",
       "      <td>0.0728</td>\n",
       "      <td>-0.0649</td>\n",
       "      <td>0.1011</td>\n",
       "      <td>0.2441</td>\n",
       "      <td>0.0547</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>-0.4785</td>\n",
       "      <td>0.2021</td>\n",
       "      <td>-0.1562</td>\n",
       "      <td>0.6172</td>\n",
       "      <td>-0.0564</td>\n",
       "      <td>-0.2949</td>\n",
       "      <td>-0.0366</td>\n",
       "      <td>-0.0130</td>\n",
       "      <td>0.1758</td>\n",
       "      <td>0.1108</td>\n",
       "      <td>0.4785</td>\n",
       "      <td>-0.1206</td>\n",
       "      <td>0.1787</td>\n",
       "      <td>-0.1660</td>\n",
       "      <td>-0.0305</td>\n",
       "      <td>-0.2871</td>\n",
       "      <td>0.3711</td>\n",
       "      <td>0.0840</td>\n",
       "      <td>0.2344</td>\n",
       "      <td>-0.3086</td>\n",
       "      <td>-0.3027</td>\n",
       "      <td>-0.2393</td>\n",
       "      <td>-0.1875</td>\n",
       "      <td>-0.2188</td>\n",
       "      <td>0.0757</td>\n",
       "      <td>-0.3926</td>\n",
       "      <td>-0.4844</td>\n",
       "      <td>0.1465</td>\n",
       "      <td>0.3145</td>\n",
       "      <td>0.1260</td>\n",
       "      <td>-0.1357</td>\n",
       "      <td>-0.1582</td>\n",
       "      <td>0.2412</td>\n",
       "      <td>-0.3594</td>\n",
       "      <td>0.0654</td>\n",
       "      <td>0.1367</td>\n",
       "      <td>-0.1318</td>\n",
       "      <td>-0.0762</td>\n",
       "      <td>-0.0498</td>\n",
       "      <td>0.2676</td>\n",
       "      <td>-0.5625</td>\n",
       "      <td>-0.1914</td>\n",
       "      <td>0.0064</td>\n",
       "      <td>-0.3340</td>\n",
       "      <td>0.1475</td>\n",
       "      <td>-0.3926</td>\n",
       "      <td>-0.0554</td>\n",
       "      <td>-0.1387</td>\n",
       "      <td>-0.0645</td>\n",
       "      <td>-0.1040</td>\n",
       "      <td>-0.2676</td>\n",
       "      <td>-0.2051</td>\n",
       "      <td>-0.1118</td>\n",
       "      <td>-0.0225</td>\n",
       "      <td>0.0669</td>\n",
       "      <td>0.0269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lays</th>\n",
       "      <td>-0.0522</td>\n",
       "      <td>-0.0574</td>\n",
       "      <td>0.1934</td>\n",
       "      <td>-0.1069</td>\n",
       "      <td>0.2988</td>\n",
       "      <td>-0.1660</td>\n",
       "      <td>0.1377</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>-0.0322</td>\n",
       "      <td>-0.0962</td>\n",
       "      <td>-0.3750</td>\n",
       "      <td>0.3262</td>\n",
       "      <td>0.0500</td>\n",
       "      <td>0.0557</td>\n",
       "      <td>0.0059</td>\n",
       "      <td>0.2129</td>\n",
       "      <td>0.0479</td>\n",
       "      <td>0.2871</td>\n",
       "      <td>-0.3008</td>\n",
       "      <td>0.2490</td>\n",
       "      <td>-0.0972</td>\n",
       "      <td>0.1167</td>\n",
       "      <td>-0.1611</td>\n",
       "      <td>0.2334</td>\n",
       "      <td>0.1914</td>\n",
       "      <td>-0.3008</td>\n",
       "      <td>-0.1895</td>\n",
       "      <td>0.1230</td>\n",
       "      <td>-0.2158</td>\n",
       "      <td>0.2539</td>\n",
       "      <td>-0.2451</td>\n",
       "      <td>-0.1865</td>\n",
       "      <td>-0.2051</td>\n",
       "      <td>0.3125</td>\n",
       "      <td>-0.0280</td>\n",
       "      <td>-0.2109</td>\n",
       "      <td>0.0452</td>\n",
       "      <td>0.2100</td>\n",
       "      <td>0.2031</td>\n",
       "      <td>0.0684</td>\n",
       "      <td>0.1172</td>\n",
       "      <td>-0.0219</td>\n",
       "      <td>0.0679</td>\n",
       "      <td>0.2275</td>\n",
       "      <td>-0.0322</td>\n",
       "      <td>-0.2070</td>\n",
       "      <td>-0.1875</td>\n",
       "      <td>-0.1895</td>\n",
       "      <td>0.3711</td>\n",
       "      <td>-0.0223</td>\n",
       "      <td>-0.0361</td>\n",
       "      <td>0.1348</td>\n",
       "      <td>-0.0281</td>\n",
       "      <td>-0.3672</td>\n",
       "      <td>0.3594</td>\n",
       "      <td>-0.1299</td>\n",
       "      <td>-0.2197</td>\n",
       "      <td>-0.3125</td>\n",
       "      <td>0.2178</td>\n",
       "      <td>0.3027</td>\n",
       "      <td>0.0879</td>\n",
       "      <td>0.2471</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>-0.1245</td>\n",
       "      <td>0.1104</td>\n",
       "      <td>-0.0361</td>\n",
       "      <td>0.0649</td>\n",
       "      <td>-0.0354</td>\n",
       "      <td>-0.0532</td>\n",
       "      <td>-0.2695</td>\n",
       "      <td>0.0562</td>\n",
       "      <td>0.0219</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>-0.2969</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>-0.2930</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.5234</td>\n",
       "      <td>-0.1367</td>\n",
       "      <td>0.2402</td>\n",
       "      <td>-0.2012</td>\n",
       "      <td>-0.3613</td>\n",
       "      <td>0.2109</td>\n",
       "      <td>-0.0933</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>-0.1367</td>\n",
       "      <td>0.2559</td>\n",
       "      <td>0.0317</td>\n",
       "      <td>0.0109</td>\n",
       "      <td>-0.1855</td>\n",
       "      <td>0.1260</td>\n",
       "      <td>0.0215</td>\n",
       "      <td>-0.1523</td>\n",
       "      <td>0.2129</td>\n",
       "      <td>-0.0684</td>\n",
       "      <td>0.0081</td>\n",
       "      <td>0.0806</td>\n",
       "      <td>0.0275</td>\n",
       "      <td>0.2578</td>\n",
       "      <td>0.2051</td>\n",
       "      <td>-0.2031</td>\n",
       "      <td>-0.2500</td>\n",
       "      <td>0.1484</td>\n",
       "      <td>0.0938</td>\n",
       "      <td>-0.4199</td>\n",
       "      <td>-0.3770</td>\n",
       "      <td>0.1455</td>\n",
       "      <td>0.1963</td>\n",
       "      <td>-0.3984</td>\n",
       "      <td>-0.0223</td>\n",
       "      <td>-0.1367</td>\n",
       "      <td>-0.1641</td>\n",
       "      <td>-0.0742</td>\n",
       "      <td>-0.1387</td>\n",
       "      <td>0.0151</td>\n",
       "      <td>0.0830</td>\n",
       "      <td>-0.2617</td>\n",
       "      <td>0.1709</td>\n",
       "      <td>-0.0310</td>\n",
       "      <td>0.1099</td>\n",
       "      <td>-0.2158</td>\n",
       "      <td>0.1436</td>\n",
       "      <td>0.1797</td>\n",
       "      <td>-0.1396</td>\n",
       "      <td>0.3496</td>\n",
       "      <td>-0.0913</td>\n",
       "      <td>-0.0913</td>\n",
       "      <td>-0.1562</td>\n",
       "      <td>-0.0747</td>\n",
       "      <td>-0.0056</td>\n",
       "      <td>-0.2393</td>\n",
       "      <td>-0.0737</td>\n",
       "      <td>0.1079</td>\n",
       "      <td>0.3105</td>\n",
       "      <td>-0.0674</td>\n",
       "      <td>0.0042</td>\n",
       "      <td>-0.1426</td>\n",
       "      <td>0.0217</td>\n",
       "      <td>-0.0178</td>\n",
       "      <td>-0.1299</td>\n",
       "      <td>0.3984</td>\n",
       "      <td>0.1875</td>\n",
       "      <td>0.0972</td>\n",
       "      <td>0.0928</td>\n",
       "      <td>-0.0635</td>\n",
       "      <td>0.3770</td>\n",
       "      <td>-0.4336</td>\n",
       "      <td>-0.0942</td>\n",
       "      <td>0.3828</td>\n",
       "      <td>-0.0058</td>\n",
       "      <td>0.1719</td>\n",
       "      <td>0.0211</td>\n",
       "      <td>0.2412</td>\n",
       "      <td>-0.1396</td>\n",
       "      <td>0.0201</td>\n",
       "      <td>-0.0664</td>\n",
       "      <td>0.3359</td>\n",
       "      <td>-0.2676</td>\n",
       "      <td>-0.1680</td>\n",
       "      <td>-0.0486</td>\n",
       "      <td>0.2168</td>\n",
       "      <td>-0.1670</td>\n",
       "      <td>-0.1289</td>\n",
       "      <td>-0.2119</td>\n",
       "      <td>0.0405</td>\n",
       "      <td>-0.0113</td>\n",
       "      <td>0.0928</td>\n",
       "      <td>-0.2617</td>\n",
       "      <td>-0.2275</td>\n",
       "      <td>-0.1069</td>\n",
       "      <td>-0.0058</td>\n",
       "      <td>-0.0693</td>\n",
       "      <td>0.0208</td>\n",
       "      <td>0.0304</td>\n",
       "      <td>0.2471</td>\n",
       "      <td>0.2344</td>\n",
       "      <td>0.0396</td>\n",
       "      <td>-0.0693</td>\n",
       "      <td>-0.0339</td>\n",
       "      <td>0.2910</td>\n",
       "      <td>-0.3164</td>\n",
       "      <td>-0.0991</td>\n",
       "      <td>0.0282</td>\n",
       "      <td>-0.1172</td>\n",
       "      <td>-0.2061</td>\n",
       "      <td>-0.0021</td>\n",
       "      <td>-0.1221</td>\n",
       "      <td>0.0408</td>\n",
       "      <td>0.1758</td>\n",
       "      <td>0.2051</td>\n",
       "      <td>0.4082</td>\n",
       "      <td>-0.0007</td>\n",
       "      <td>-0.0064</td>\n",
       "      <td>0.1787</td>\n",
       "      <td>0.1289</td>\n",
       "      <td>0.3086</td>\n",
       "      <td>-0.2021</td>\n",
       "      <td>-0.2275</td>\n",
       "      <td>0.1875</td>\n",
       "      <td>-0.1250</td>\n",
       "      <td>0.0157</td>\n",
       "      <td>0.0435</td>\n",
       "      <td>-0.1201</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.0238</td>\n",
       "      <td>0.0183</td>\n",
       "      <td>0.0728</td>\n",
       "      <td>0.2324</td>\n",
       "      <td>0.2812</td>\n",
       "      <td>-0.2500</td>\n",
       "      <td>0.1226</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.1016</td>\n",
       "      <td>-0.1885</td>\n",
       "      <td>0.0410</td>\n",
       "      <td>0.0029</td>\n",
       "      <td>0.2676</td>\n",
       "      <td>0.1187</td>\n",
       "      <td>-0.2178</td>\n",
       "      <td>-0.2197</td>\n",
       "      <td>-0.2578</td>\n",
       "      <td>-0.2051</td>\n",
       "      <td>0.1240</td>\n",
       "      <td>-0.0442</td>\n",
       "      <td>0.3281</td>\n",
       "      <td>-0.4609</td>\n",
       "      <td>-0.2598</td>\n",
       "      <td>-0.1533</td>\n",
       "      <td>0.0918</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>-0.2930</td>\n",
       "      <td>-0.1641</td>\n",
       "      <td>0.0574</td>\n",
       "      <td>0.2275</td>\n",
       "      <td>0.1982</td>\n",
       "      <td>0.0103</td>\n",
       "      <td>0.0781</td>\n",
       "      <td>0.0688</td>\n",
       "      <td>-0.0193</td>\n",
       "      <td>-0.1279</td>\n",
       "      <td>0.2578</td>\n",
       "      <td>0.3008</td>\n",
       "      <td>-0.0854</td>\n",
       "      <td>-0.1963</td>\n",
       "      <td>0.2256</td>\n",
       "      <td>-0.1660</td>\n",
       "      <td>-0.0571</td>\n",
       "      <td>0.1689</td>\n",
       "      <td>0.2031</td>\n",
       "      <td>0.1406</td>\n",
       "      <td>-0.1045</td>\n",
       "      <td>0.0957</td>\n",
       "      <td>-0.1748</td>\n",
       "      <td>0.0283</td>\n",
       "      <td>0.1934</td>\n",
       "      <td>-0.1680</td>\n",
       "      <td>-0.3223</td>\n",
       "      <td>-0.1641</td>\n",
       "      <td>-0.1768</td>\n",
       "      <td>0.1924</td>\n",
       "      <td>-0.2695</td>\n",
       "      <td>-0.2715</td>\n",
       "      <td>-0.0503</td>\n",
       "      <td>-0.1089</td>\n",
       "      <td>-0.0586</td>\n",
       "      <td>0.2832</td>\n",
       "      <td>-0.2432</td>\n",
       "      <td>-0.1963</td>\n",
       "      <td>-0.1289</td>\n",
       "      <td>-0.0986</td>\n",
       "      <td>0.0474</td>\n",
       "      <td>0.0513</td>\n",
       "      <td>-0.0422</td>\n",
       "      <td>-0.0659</td>\n",
       "      <td>-0.0903</td>\n",
       "      <td>0.1196</td>\n",
       "      <td>0.0413</td>\n",
       "      <td>0.2314</td>\n",
       "      <td>-0.0796</td>\n",
       "      <td>0.3672</td>\n",
       "      <td>-0.2314</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>0.0596</td>\n",
       "      <td>0.3340</td>\n",
       "      <td>0.2383</td>\n",
       "      <td>0.0303</td>\n",
       "      <td>-0.1836</td>\n",
       "      <td>0.2295</td>\n",
       "      <td>-0.0249</td>\n",
       "      <td>-0.1016</td>\n",
       "      <td>-0.1729</td>\n",
       "      <td>-0.4844</td>\n",
       "      <td>-0.2285</td>\n",
       "      <td>0.1689</td>\n",
       "      <td>-0.2910</td>\n",
       "      <td>0.0036</td>\n",
       "      <td>0.0410</td>\n",
       "      <td>0.2295</td>\n",
       "      <td>0.2480</td>\n",
       "      <td>0.3535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wreath</th>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.1992</td>\n",
       "      <td>-0.0820</td>\n",
       "      <td>0.1426</td>\n",
       "      <td>0.0554</td>\n",
       "      <td>-0.1025</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>-0.1387</td>\n",
       "      <td>0.0309</td>\n",
       "      <td>-0.0070</td>\n",
       "      <td>0.1147</td>\n",
       "      <td>-0.1016</td>\n",
       "      <td>-0.1377</td>\n",
       "      <td>0.0732</td>\n",
       "      <td>-0.0884</td>\n",
       "      <td>-0.0211</td>\n",
       "      <td>-0.4004</td>\n",
       "      <td>-0.0112</td>\n",
       "      <td>-0.1777</td>\n",
       "      <td>-0.3711</td>\n",
       "      <td>0.3320</td>\n",
       "      <td>0.4297</td>\n",
       "      <td>-0.0280</td>\n",
       "      <td>-0.2471</td>\n",
       "      <td>0.0874</td>\n",
       "      <td>0.1709</td>\n",
       "      <td>-0.1099</td>\n",
       "      <td>-0.1201</td>\n",
       "      <td>-0.2695</td>\n",
       "      <td>-0.1445</td>\n",
       "      <td>-0.2217</td>\n",
       "      <td>-0.1973</td>\n",
       "      <td>-0.1689</td>\n",
       "      <td>0.0889</td>\n",
       "      <td>0.3262</td>\n",
       "      <td>-0.4434</td>\n",
       "      <td>0.3164</td>\n",
       "      <td>0.0771</td>\n",
       "      <td>-0.4375</td>\n",
       "      <td>-0.0498</td>\n",
       "      <td>-0.1973</td>\n",
       "      <td>-0.4434</td>\n",
       "      <td>0.2188</td>\n",
       "      <td>-0.4082</td>\n",
       "      <td>0.0879</td>\n",
       "      <td>-0.1768</td>\n",
       "      <td>-0.3906</td>\n",
       "      <td>0.2002</td>\n",
       "      <td>0.0334</td>\n",
       "      <td>0.0055</td>\n",
       "      <td>-0.1484</td>\n",
       "      <td>0.0562</td>\n",
       "      <td>0.1455</td>\n",
       "      <td>0.0322</td>\n",
       "      <td>-0.1348</td>\n",
       "      <td>-0.1934</td>\n",
       "      <td>-0.1631</td>\n",
       "      <td>-0.0144</td>\n",
       "      <td>-0.1118</td>\n",
       "      <td>-0.2500</td>\n",
       "      <td>-0.2734</td>\n",
       "      <td>0.0513</td>\n",
       "      <td>-0.2578</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>-0.1748</td>\n",
       "      <td>-0.3281</td>\n",
       "      <td>-0.1240</td>\n",
       "      <td>-0.1426</td>\n",
       "      <td>0.0767</td>\n",
       "      <td>-0.0221</td>\n",
       "      <td>0.2354</td>\n",
       "      <td>-0.0957</td>\n",
       "      <td>-0.0864</td>\n",
       "      <td>-0.5703</td>\n",
       "      <td>-0.1406</td>\n",
       "      <td>-0.0107</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>-0.3945</td>\n",
       "      <td>0.2061</td>\n",
       "      <td>0.0549</td>\n",
       "      <td>0.3926</td>\n",
       "      <td>-0.0320</td>\n",
       "      <td>-0.0040</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>-0.1895</td>\n",
       "      <td>-0.1240</td>\n",
       "      <td>-0.1611</td>\n",
       "      <td>-0.2930</td>\n",
       "      <td>0.2852</td>\n",
       "      <td>0.2637</td>\n",
       "      <td>-0.0131</td>\n",
       "      <td>0.0718</td>\n",
       "      <td>0.1758</td>\n",
       "      <td>-0.1436</td>\n",
       "      <td>-0.3027</td>\n",
       "      <td>-0.2324</td>\n",
       "      <td>0.2422</td>\n",
       "      <td>-0.0354</td>\n",
       "      <td>0.3730</td>\n",
       "      <td>-0.5508</td>\n",
       "      <td>-0.1357</td>\n",
       "      <td>-0.2656</td>\n",
       "      <td>0.2383</td>\n",
       "      <td>0.0752</td>\n",
       "      <td>-0.4199</td>\n",
       "      <td>0.0786</td>\n",
       "      <td>0.4023</td>\n",
       "      <td>-0.0698</td>\n",
       "      <td>0.0262</td>\n",
       "      <td>-0.1572</td>\n",
       "      <td>-0.3633</td>\n",
       "      <td>-0.0302</td>\n",
       "      <td>-0.1758</td>\n",
       "      <td>0.1582</td>\n",
       "      <td>0.0708</td>\n",
       "      <td>-0.2832</td>\n",
       "      <td>0.1309</td>\n",
       "      <td>0.1875</td>\n",
       "      <td>0.1064</td>\n",
       "      <td>0.3301</td>\n",
       "      <td>0.1553</td>\n",
       "      <td>0.2354</td>\n",
       "      <td>0.3047</td>\n",
       "      <td>0.2559</td>\n",
       "      <td>0.1465</td>\n",
       "      <td>0.1738</td>\n",
       "      <td>0.4121</td>\n",
       "      <td>-0.1118</td>\n",
       "      <td>0.0225</td>\n",
       "      <td>0.1602</td>\n",
       "      <td>-0.1035</td>\n",
       "      <td>0.0771</td>\n",
       "      <td>-0.0264</td>\n",
       "      <td>-0.2217</td>\n",
       "      <td>0.2520</td>\n",
       "      <td>0.2754</td>\n",
       "      <td>-0.4902</td>\n",
       "      <td>-0.2041</td>\n",
       "      <td>0.1797</td>\n",
       "      <td>-0.2070</td>\n",
       "      <td>-0.4102</td>\n",
       "      <td>0.1260</td>\n",
       "      <td>-0.2754</td>\n",
       "      <td>-0.1016</td>\n",
       "      <td>0.0258</td>\n",
       "      <td>0.1406</td>\n",
       "      <td>-0.2119</td>\n",
       "      <td>-0.3477</td>\n",
       "      <td>-0.4766</td>\n",
       "      <td>-0.2812</td>\n",
       "      <td>-0.0220</td>\n",
       "      <td>0.2471</td>\n",
       "      <td>0.1147</td>\n",
       "      <td>0.3828</td>\n",
       "      <td>-0.0469</td>\n",
       "      <td>-0.1226</td>\n",
       "      <td>-0.1748</td>\n",
       "      <td>0.0106</td>\n",
       "      <td>0.1299</td>\n",
       "      <td>0.1416</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>-0.1992</td>\n",
       "      <td>0.4355</td>\n",
       "      <td>-0.1836</td>\n",
       "      <td>0.0107</td>\n",
       "      <td>-0.0564</td>\n",
       "      <td>0.0236</td>\n",
       "      <td>-0.1865</td>\n",
       "      <td>-0.3809</td>\n",
       "      <td>0.3340</td>\n",
       "      <td>-0.0469</td>\n",
       "      <td>-0.1963</td>\n",
       "      <td>-0.0786</td>\n",
       "      <td>-0.0189</td>\n",
       "      <td>-0.2969</td>\n",
       "      <td>-0.0354</td>\n",
       "      <td>0.2070</td>\n",
       "      <td>-0.0850</td>\n",
       "      <td>0.1152</td>\n",
       "      <td>0.2070</td>\n",
       "      <td>0.0325</td>\n",
       "      <td>0.0554</td>\n",
       "      <td>-0.1494</td>\n",
       "      <td>0.4629</td>\n",
       "      <td>-0.1260</td>\n",
       "      <td>-0.1108</td>\n",
       "      <td>0.3633</td>\n",
       "      <td>0.3223</td>\n",
       "      <td>0.1641</td>\n",
       "      <td>0.4453</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>0.2275</td>\n",
       "      <td>-0.3223</td>\n",
       "      <td>-0.0120</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>-0.1089</td>\n",
       "      <td>0.2002</td>\n",
       "      <td>0.1562</td>\n",
       "      <td>-0.2871</td>\n",
       "      <td>-0.3438</td>\n",
       "      <td>-0.0635</td>\n",
       "      <td>-0.3301</td>\n",
       "      <td>-0.6250</td>\n",
       "      <td>-0.1157</td>\n",
       "      <td>-0.1152</td>\n",
       "      <td>0.0195</td>\n",
       "      <td>0.3281</td>\n",
       "      <td>0.2520</td>\n",
       "      <td>-0.2969</td>\n",
       "      <td>-0.0242</td>\n",
       "      <td>-0.6680</td>\n",
       "      <td>-0.3555</td>\n",
       "      <td>-0.6875</td>\n",
       "      <td>-0.2100</td>\n",
       "      <td>0.4043</td>\n",
       "      <td>0.1797</td>\n",
       "      <td>-0.2715</td>\n",
       "      <td>-0.2178</td>\n",
       "      <td>0.2080</td>\n",
       "      <td>0.1206</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>-0.0718</td>\n",
       "      <td>0.0117</td>\n",
       "      <td>-0.1328</td>\n",
       "      <td>-0.0564</td>\n",
       "      <td>-0.3320</td>\n",
       "      <td>0.1455</td>\n",
       "      <td>0.0552</td>\n",
       "      <td>0.2930</td>\n",
       "      <td>0.1514</td>\n",
       "      <td>-0.1982</td>\n",
       "      <td>-0.0435</td>\n",
       "      <td>-0.2363</td>\n",
       "      <td>0.2109</td>\n",
       "      <td>0.2383</td>\n",
       "      <td>-0.0430</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>0.2012</td>\n",
       "      <td>0.2246</td>\n",
       "      <td>-0.0889</td>\n",
       "      <td>-0.0569</td>\n",
       "      <td>-0.0554</td>\n",
       "      <td>-0.1089</td>\n",
       "      <td>-0.2617</td>\n",
       "      <td>-0.2617</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.0864</td>\n",
       "      <td>0.3145</td>\n",
       "      <td>-0.1182</td>\n",
       "      <td>-0.1680</td>\n",
       "      <td>-0.3691</td>\n",
       "      <td>0.1187</td>\n",
       "      <td>-0.1514</td>\n",
       "      <td>-0.0732</td>\n",
       "      <td>0.0732</td>\n",
       "      <td>-0.1729</td>\n",
       "      <td>0.0093</td>\n",
       "      <td>-0.1885</td>\n",
       "      <td>-0.0166</td>\n",
       "      <td>-0.0430</td>\n",
       "      <td>-0.0281</td>\n",
       "      <td>0.3633</td>\n",
       "      <td>-0.4258</td>\n",
       "      <td>-0.5430</td>\n",
       "      <td>0.2275</td>\n",
       "      <td>0.4512</td>\n",
       "      <td>0.0781</td>\n",
       "      <td>0.0991</td>\n",
       "      <td>-0.4668</td>\n",
       "      <td>0.0598</td>\n",
       "      <td>-0.0197</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>-0.1543</td>\n",
       "      <td>0.2949</td>\n",
       "      <td>-0.0767</td>\n",
       "      <td>0.2656</td>\n",
       "      <td>0.2637</td>\n",
       "      <td>-0.4102</td>\n",
       "      <td>0.1172</td>\n",
       "      <td>-0.1592</td>\n",
       "      <td>0.1660</td>\n",
       "      <td>0.1309</td>\n",
       "      <td>0.2236</td>\n",
       "      <td>0.0820</td>\n",
       "      <td>0.0608</td>\n",
       "      <td>-0.1572</td>\n",
       "      <td>0.4199</td>\n",
       "      <td>0.0095</td>\n",
       "      <td>0.0405</td>\n",
       "      <td>0.0155</td>\n",
       "      <td>-0.0859</td>\n",
       "      <td>-0.1738</td>\n",
       "      <td>0.1099</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>-0.1021</td>\n",
       "      <td>0.1196</td>\n",
       "      <td>-0.2871</td>\n",
       "      <td>-0.0859</td>\n",
       "      <td>0.1885</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           0       1       2       3       4       5       6       7       8       9       10      11      12      13      14      15      16      17      18      19      20      21      22      23      24      25      26      27      28      29      30      31      32      33      34      35      36      37      38      39      40      41      42      43      44      45      46      47      48      49      50      51      52      53      54      55      56      57      58      59      60      61      62      63      64      65      66      67      68      69      70      71      72      73      74      75      76      77      78      79      80      81      82      83      84      85      86      87      88      89      90      91      92      93      94      95      96      97      98      99      100     101     102     103     104     105     106     107     108     109     110     111     112     113     114     115     116     117     118     119     120     121     122     123     124     125     126     127     128     129     130     131     132     133     134     135     136     137     138     139     140     141     142     143     144     145     146     147     148     149     150     151     152     153     154     155     156     157     158     159     160     161     162     163     164     165     166     167     168     169     170     171     172     173     174     175     176     177     178     179     180     181     182     183     184     185     186     187     188     189     190     191     192     193     194     195     196     197     198     199     200     201     202     203     204     205     206     207     208     209     210     211     212     213     214     215     216     217     218     219     220     221     222     223     224     225     226     227     228     229     230     231     232     233     234     235     236     237     238     239     240     241     242     243     244     245     246     247     248     249     250     251     252     253     254     255     256     257     258     259     260     261     262     263     264     265     266     267     268     269     270     271     272     273     274     275     276     277     278     279     280     281     282     283     284     285     286     287     288     289     290     291     292     293     294     295     296     297     298     299\n",
       "obama  -0.1235  0.0723  0.1719  0.4023 -0.1260 -0.3027 -0.0449 -0.0153  0.1719 -0.0435 -0.1328 -0.4590 -0.5273  0.1396 -0.1235  0.4219 -0.1465  0.0413  0.0299 -0.3574  0.0444 -0.0938  0.4258 -0.1543 -0.2295  0.3008 -0.4277 -0.0801  0.3164 -0.2021  0.1035  0.2061 -0.3184 -0.0908 -0.0581  0.0996 -0.2256  0.0630  0.2002  0.1680  0.0233 -0.2451  0.3672  0.0840  0.1211  0.1582  0.3594 -0.3320 -0.2598 -0.0337 -0.1357 -0.0903  0.1943  0.0884  0.2520  0.0496 -0.3027 -0.0820  0.1807 -0.2988  0.1768  0.2021 -0.2793 -0.1377  0.0415 -0.2949 -0.1250 -0.3301 -0.2100  0.0366  0.1328  0.5625  0.1807  0.1543 -0.1250 -0.2236  0.3301  0.0903 -0.1777  0.0019 -0.1621  0.3223 -0.0977 -0.0544  0.1738  0.0066 -0.2715  0.1943  0.0238  0.0854 -0.0674  0.1504 -0.0811 -0.3125 -0.1963  0.1611 -0.2354 -0.1533  0.6562 -0.0952  0.1914 -0.1514  0.5469  0.0430 -0.1807  0.0889 -0.2295  0.1367 -0.0527 -0.5547  0.1387 -0.5078  0.2832  0.2910  0.3672  0.1494  0.1235 -0.4824 -0.1465  0.0479  0.0967 -0.0603  0.1396 -0.0554  0.5234  0.0903 -0.0933  0.1118  0.0198 -0.1001 -0.3516 -0.0388  0.3438 -0.0422 -0.0562 -0.1196 -0.3184 -0.2080  0.4785 -0.0190  0.3105 -0.3379  0.0552  0.0398 -0.2256 -0.1143 -0.0209 -0.1348  0.0635 -0.3164  0.3730 -0.6016 -0.1816 -0.3379 -0.4629 -0.2031  0.2061  0.2451 -0.2109  0.1357 -0.0403  0.2129 -0.1592  0.0630 -0.2021 -0.6758  0.1709  0.0447 -0.0859  0.2812 -0.4082  0.1123 -0.0007  0.0078 -0.0422 -0.0476  0.3145 -0.4785  0.2334 -0.4199 -0.0884  0.0938 -0.3809 -0.0972  0.0322  0.2227 -0.4121 -0.1201 -0.0153  0.0698  0.2949  0.3516 -0.0030  0.1914  0.0035  0.1387 -0.4492 -0.1621 -0.2197 -0.2256 -0.8711  0.1250  0.0503 -0.7656 -0.1191 -0.2715  0.4805 -0.0491 -0.3320  0.1050 -0.0903  0.1455 -0.3145 -0.2295  0.1582  0.0618 -0.2598 -0.2539 -0.1157 -0.2100 -0.3594  0.0781  0.1060  0.2051  0.2412 -0.0544  0.2773  0.3711  0.0815 -0.0664  0.3457 -0.1118 -0.0957 -0.3945 -0.0439  0.2412  0.2344  0.3555  0.0728 -0.0649  0.1011  0.2441  0.0547  0.1650 -0.4785  0.2021 -0.1562  0.6172 -0.0564 -0.2949 -0.0366 -0.0130  0.1758  0.1108  0.4785 -0.1206  0.1787 -0.1660 -0.0305 -0.2871  0.3711  0.0840  0.2344 -0.3086 -0.3027 -0.2393 -0.1875 -0.2188  0.0757 -0.3926 -0.4844  0.1465  0.3145  0.1260 -0.1357 -0.1582  0.2412 -0.3594  0.0654  0.1367 -0.1318 -0.0762 -0.0498  0.2676 -0.5625 -0.1914  0.0064 -0.3340  0.1475 -0.3926 -0.0554 -0.1387 -0.0645 -0.1040 -0.2676 -0.2051 -0.1118 -0.0225  0.0669  0.0269\n",
       "lays   -0.0522 -0.0574  0.1934 -0.1069  0.2988 -0.1660  0.1377  0.1250 -0.0322 -0.0962 -0.3750  0.3262  0.0500  0.0557  0.0059  0.2129  0.0479  0.2871 -0.3008  0.2490 -0.0972  0.1167 -0.1611  0.2334  0.1914 -0.3008 -0.1895  0.1230 -0.2158  0.2539 -0.2451 -0.1865 -0.2051  0.3125 -0.0280 -0.2109  0.0452  0.2100  0.2031  0.0684  0.1172 -0.0219  0.0679  0.2275 -0.0322 -0.2070 -0.1875 -0.1895  0.3711 -0.0223 -0.0361  0.1348 -0.0281 -0.3672  0.3594 -0.1299 -0.2197 -0.3125  0.2178  0.3027  0.0879  0.2471  0.0082 -0.1245  0.1104 -0.0361  0.0649 -0.0354 -0.0532 -0.2695  0.0562  0.0219  0.0266 -0.2969  0.0510 -0.2930  0.0129  0.5234 -0.1367  0.2402 -0.2012 -0.3613  0.2109 -0.0933  0.4258 -0.1367  0.2559  0.0317  0.0109 -0.1855  0.1260  0.0215 -0.1523  0.2129 -0.0684  0.0081  0.0806  0.0275  0.2578  0.2051 -0.2031 -0.2500  0.1484  0.0938 -0.4199 -0.3770  0.1455  0.1963 -0.3984 -0.0223 -0.1367 -0.1641 -0.0742 -0.1387  0.0151  0.0830 -0.2617  0.1709 -0.0310  0.1099 -0.2158  0.1436  0.1797 -0.1396  0.3496 -0.0913 -0.0913 -0.1562 -0.0747 -0.0056 -0.2393 -0.0737  0.1079  0.3105 -0.0674  0.0042 -0.1426  0.0217 -0.0178 -0.1299  0.3984  0.1875  0.0972  0.0928 -0.0635  0.3770 -0.4336 -0.0942  0.3828 -0.0058  0.1719  0.0211  0.2412 -0.1396  0.0201 -0.0664  0.3359 -0.2676 -0.1680 -0.0486  0.2168 -0.1670 -0.1289 -0.2119  0.0405 -0.0113  0.0928 -0.2617 -0.2275 -0.1069 -0.0058 -0.0693  0.0208  0.0304  0.2471  0.2344  0.0396 -0.0693 -0.0339  0.2910 -0.3164 -0.0991  0.0282 -0.1172 -0.2061 -0.0021 -0.1221  0.0408  0.1758  0.2051  0.4082 -0.0007 -0.0064  0.1787  0.1289  0.3086 -0.2021 -0.2275  0.1875 -0.1250  0.0157  0.0435 -0.1201  0.0006  0.0238  0.0183  0.0728  0.2324  0.2812 -0.2500  0.1226  0.1250  0.1016 -0.1885  0.0410  0.0029  0.2676  0.1187 -0.2178 -0.2197 -0.2578 -0.2051  0.1240 -0.0442  0.3281 -0.4609 -0.2598 -0.1533  0.0918  0.1250 -0.2930 -0.1641  0.0574  0.2275  0.1982  0.0103  0.0781  0.0688 -0.0193 -0.1279  0.2578  0.3008 -0.0854 -0.1963  0.2256 -0.1660 -0.0571  0.1689  0.2031  0.1406 -0.1045  0.0957 -0.1748  0.0283  0.1934 -0.1680 -0.3223 -0.1641 -0.1768  0.1924 -0.2695 -0.2715 -0.0503 -0.1089 -0.0586  0.2832 -0.2432 -0.1963 -0.1289 -0.0986  0.0474  0.0513 -0.0422 -0.0659 -0.0903  0.1196  0.0413  0.2314 -0.0796  0.3672 -0.2314  0.0302  0.0596  0.3340  0.2383  0.0303 -0.1836  0.2295 -0.0249 -0.1016 -0.1729 -0.4844 -0.2285  0.1689 -0.2910  0.0036  0.0410  0.2295  0.2480  0.3535\n",
       "wreath  0.1670  0.1992 -0.0820  0.1426  0.0554 -0.1025  0.1035 -0.1387  0.0309 -0.0070  0.1147 -0.1016 -0.1377  0.0732 -0.0884 -0.0211 -0.4004 -0.0112 -0.1777 -0.3711  0.3320  0.4297 -0.0280 -0.2471  0.0874  0.1709 -0.1099 -0.1201 -0.2695 -0.1445 -0.2217 -0.1973 -0.1689  0.0889  0.3262 -0.4434  0.3164  0.0771 -0.4375 -0.0498 -0.1973 -0.4434  0.2188 -0.4082  0.0879 -0.1768 -0.3906  0.2002  0.0334  0.0055 -0.1484  0.0562  0.1455  0.0322 -0.1348 -0.1934 -0.1631 -0.0144 -0.1118 -0.2500 -0.2734  0.0513 -0.2578  0.4258 -0.1748 -0.3281 -0.1240 -0.1426  0.0767 -0.0221  0.2354 -0.0957 -0.0864 -0.5703 -0.1406 -0.0107  0.0962 -0.3945  0.2061  0.0549  0.3926 -0.0320 -0.0040 -0.3184 -0.1895 -0.1240 -0.1611 -0.2930  0.2852  0.2637 -0.0131  0.0718  0.1758 -0.1436 -0.3027 -0.2324  0.2422 -0.0354  0.3730 -0.5508 -0.1357 -0.2656  0.2383  0.0752 -0.4199  0.0786  0.4023 -0.0698  0.0262 -0.1572 -0.3633 -0.0302 -0.1758  0.1582  0.0708 -0.2832  0.1309  0.1875  0.1064  0.3301  0.1553  0.2354  0.3047  0.2559  0.1465  0.1738  0.4121 -0.1118  0.0225  0.1602 -0.1035  0.0771 -0.0264 -0.2217  0.2520  0.2754 -0.4902 -0.2041  0.1797 -0.2070 -0.4102  0.1260 -0.2754 -0.1016  0.0258  0.1406 -0.2119 -0.3477 -0.4766 -0.2812 -0.0220  0.2471  0.1147  0.3828 -0.0469 -0.1226 -0.1748  0.0106  0.1299  0.1416 -0.3184 -0.1992  0.4355 -0.1836  0.0107 -0.0564  0.0236 -0.1865 -0.3809  0.3340 -0.0469 -0.1963 -0.0786 -0.0189 -0.2969 -0.0354  0.2070 -0.0850  0.1152  0.2070  0.0325  0.0554 -0.1494  0.4629 -0.1260 -0.1108  0.3633  0.3223  0.1641  0.4453 -0.3184  0.2275 -0.3223 -0.0120  0.0618 -0.1089  0.2002  0.1562 -0.2871 -0.3438 -0.0635 -0.3301 -0.6250 -0.1157 -0.1152  0.0195  0.3281  0.2520 -0.2969 -0.0242 -0.6680 -0.3555 -0.6875 -0.2100  0.4043  0.1797 -0.2715 -0.2178  0.2080  0.1206  0.0967 -0.0718  0.0117 -0.1328 -0.0564 -0.3320  0.1455  0.0552  0.2930  0.1514 -0.1982 -0.0435 -0.2363  0.2109  0.2383 -0.0430 -0.0016  0.2012  0.2246 -0.0889 -0.0569 -0.0554 -0.1089 -0.2617 -0.2617  0.1270  0.0864  0.3145 -0.1182 -0.1680 -0.3691  0.1187 -0.1514 -0.0732  0.0732 -0.1729  0.0093 -0.1885 -0.0166 -0.0430 -0.0281  0.3633 -0.4258 -0.5430  0.2275  0.4512  0.0781  0.0991 -0.4668  0.0598 -0.0197  0.0386  0.0386 -0.1543  0.2949 -0.0767  0.2656  0.2637 -0.4102  0.1172 -0.1592  0.1660  0.1309  0.2236  0.0820  0.0608 -0.1572  0.4199  0.0095  0.0405  0.0155 -0.0859 -0.1738  0.1099  0.0967 -0.1021  0.1196 -0.2871 -0.0859  0.1885"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dimensionality Reduction: t-SNE\n",
    "\n",
    "Next, we're going to squish (read: do dimensionality reduction on) these word vectors using t-SNE. If you're not familiar with t-SNE and its interpretations, check out [this excellent, interactive distill.pub article](https://distill.pub/2016/misread-tsne/) on t-SNE. \n",
    "\n",
    "It's important to play around with the parameters for t-SNE, as different values can produce very different results. I tested several values between 0 and 100 for perplexity, and found that it produced roughly the same shape each time. I tested several learning rates between 20 and 400 as well, and decided to leave the learning rate at its default (200)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "\n",
    "# Initialize t-SNE\n",
    "tsne = TSNE(n_components = 2, init = 'random', random_state = 10, perplexity = 100)\n",
    "\n",
    "# Use only 400 rows to shorten processing time\n",
    "tsne_df = tsne.fit_transform(df[:400])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we're ready to plot our reduced array of word vectors and see what patterns we can find."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set()\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (11.7, 8.27))\n",
    "sns.scatterplot(tsne_df[:, 0], tsne_df[:, 1], alpha = 0.5)\n",
    "\n",
    "# Second plot: Import adjustText, initialize list of texts\n",
    "from adjustText import adjust_text\n",
    "texts = []\n",
    "words_to_plot = list(np.arange(0, 400, 10))\n",
    "\n",
    "# Append words to list\n",
    "for word in words_to_plot:\n",
    "    texts.append(plt.text(tsne_df[word, 0], tsne_df[word, 1], df.index[word], fontsize = 14))\n",
    "    \n",
    "# Plot text using adjust_text (because overlapping text is hard to read)\n",
    "adjust_text(texts, force_points = 0.4, force_text = 0.4, \n",
    "            expand_points = (2,1), expand_text = (1,2),\n",
    "            arrowprops = dict(arrowstyle = \"-\", color = 'black', lw = 0.5))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that even though the text still overlaps some points, we no longer have overlapping text. Nifty! \n",
    "\n",
    "If you're interested in trying out `adjust_text` for your own plotting needs, you can find it [here](https://github.com/Phlya/adjustText). Be sure to import using the camelcase `adjustText`, and please note that `adjustText` is currently not compatible with matplotlib 3.0 or higher.\n",
    "\n",
    "It's encouraging to see that even when the vector embeddings have been reduced to 2 dimensions, we see certain items clustering together. For example, we have **months** in the left/upper left, we have **corporate finance terms** near the bottom, and we have more **generic, non-topical words** (like 'full', 'really', 'slew') in the middle.\n",
    "\n",
    "Note that if we were to run the t-SNE again with different parameters, we may observe some similarities to this result, but we're not guaranteed to see the exact same patterns. t-SNE, as compared to PCA, is not deterministic. Relatedly, tightness of clusters and distances between clusters are not always meaningful. It is meant primarily as an exploratory tool, rather than as a decisive indicator of similarity. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Averaging Word Embeddings \n",
    "\n",
    "We've gotten a sense of how word embeddings work as applied to this dataset. Now we can move on to some more interesting ML applications: finding titles that cluster together, and seeing what patterns emerge.\n",
    "\n",
    "Instead of using Doc2Vec, which would require a lengthy training process, we can use a simpler [(and sometimes even more effective)](https://stackoverflow.com/questions/45234310/doc2vec-worse-than-mean-or-sum-of-word2vec-vectors) trick: averaging the embeddings of the word vectors in each document. In our case, a document refers to a title or a headline. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def document_vector(word2vec_model, doc):\n",
    "    # remove out-of-vocabulary words\n",
    "    doc = [word for word in doc if word in model.vocab]\n",
    "    return np.mean(model[doc], axis=0)\n",
    "\n",
    "# Our earlier preprocessing was done when we were dealing only with word vectors\n",
    "# Here, we need each document to remain a document \n",
    "def preprocess(text):\n",
    "    text = text.lower()\n",
    "    doc = word_tokenize(text)\n",
    "    doc = [word for word in doc if word not in stop_words]\n",
    "    doc = [word for word in doc if word.isalpha()] \n",
    "    return doc\n",
    "\n",
    "# Function that will help us drop documents that have no word vectors in word2vec\n",
    "def has_vector_representation(word2vec_model, doc):\n",
    "    \"\"\"check if at least one word of the document is in the\n",
    "    word2vec dictionary\"\"\"\n",
    "    return not all(word not in word2vec_model.vocab for word in doc)\n",
    "\n",
    "# Filter out documents\n",
    "def filter_docs(corpus, texts, condition_on_doc):\n",
    "    \"\"\"\n",
    "    Filter corpus and texts given the function condition_on_doc which takes\n",
    "    a doc. The document doc is kept if condition_on_doc(doc) is true.\n",
    "    \"\"\"\n",
    "    number_of_docs = len(corpus)\n",
    "\n",
    "    if texts is not None:\n",
    "        texts = [text for (text, doc) in zip(texts, corpus)\n",
    "                 if condition_on_doc(doc)]\n",
    "\n",
    "    corpus = [doc for doc in corpus if condition_on_doc(doc)]\n",
    "\n",
    "    print(\"{} docs removed\".format(number_of_docs - len(corpus)))\n",
    "\n",
    "    return (corpus, texts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37 docs removed\n",
      "0 docs removed\n"
     ]
    }
   ],
   "source": [
    "# Preprocess the corpus\n",
    "corpus = [preprocess(title) for title in titles_list]\n",
    "\n",
    "# Remove docs that don't include any words in W2V's vocab\n",
    "corpus, titles_list = filter_docs(corpus, titles_list, lambda doc: has_vector_representation(model, doc))\n",
    "\n",
    "# Filter out any empty docs\n",
    "corpus, titles_list = filter_docs(corpus, titles_list, lambda doc: (len(doc) != 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize an array for the size of the corpus\n",
    "x = []\n",
    "for doc in corpus: # append the vector for each document\n",
    "    x.append(document_vector(model, doc))\n",
    "    \n",
    "X = np.array(x) # list to array"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Procedure and functions adapted from [this notebook](https://github.com/sdimi/average-word2vec/blob/master/notebook.ipynb) by Dimitris Spathis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# t-SNE for Document Vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize t-SNE\n",
    "tsne = TSNE(n_components = 2, init = 'random', random_state = 10, perplexity = 100)\n",
    "\n",
    "# Use only 400 rows to shorten processing time\n",
    "tsne_df = tsne.fit_transform(X[:400])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (14, 10))\n",
    "sns.scatterplot(tsne_df[:, 0], tsne_df[:, 1], alpha = 0.5)\n",
    "\n",
    "# Second plot: Import adjustText, initialize list of texts\n",
    "from adjustText import adjust_text\n",
    "texts = []\n",
    "titles_to_plot = list(np.arange(0, 400, 40)) # plots every 40th title in first 400 titles\n",
    "\n",
    "# Append words to list\n",
    "for title in titles_to_plot:\n",
    "    texts.append(plt.text(tsne_df[title, 0], tsne_df[title, 1], titles_list[title], fontsize = 14))\n",
    "    \n",
    "# Plot text using adjust_text (because overlapping text is hard to read)\n",
    "adjust_text(texts, force_points = 0.4, force_text = 0.4, \n",
    "            expand_points = (2,1), expand_text = (1,2),\n",
    "            arrowprops = dict(arrowstyle = \"-\", color = 'black', lw = 0.5))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pretty interesting! We can see that the t-SNE has collapsed the document vectors into a dimensional space where the documents are spread out based on whether their content has more to do with countries, world leaders, and foreign affairs, or has more to do with technology companies. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(81417, 11)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop all the rows where the article popularities are unknown (this is only about 11% of the data)\n",
    "main_data = main_data.drop(main_data[(main_data.Facebook == -1) | \n",
    "                                     (main_data.GooglePlus == -1) | \n",
    "                                     (main_data.LinkedIn == -1)].index)\n",
    "\n",
    "# Also drop all rows where we don't know the source\n",
    "main_data = main_data.drop(main_data[main_data['Source'].isna()].index)\n",
    "\n",
    "main_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Popularity Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We still have 81,000 rows left to work with. \n",
    "\n",
    "Let's see if we can find any associations between sentiment and number of shares."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(15, 10))\n",
    "\n",
    "subplots = [a for a in ax]\n",
    "platforms = ['Facebook', 'GooglePlus', 'LinkedIn']\n",
    "colors = list(sns.husl_palette(10, h=.5)[1:4]) \n",
    "\n",
    "for platform, subplot, color in zip(platforms, subplots, colors):\n",
    "    sns.scatterplot(x = main_data[platform], y = main_data['SentimentTitle'], ax=subplot, color=color)\n",
    "    subplot.set_title(platform, fontsize=18)\n",
    "    subplot.set_xlabel('') \n",
    "    \n",
    "fig.suptitle('Plot of Popularity (Shares) by Title Sentiment', fontsize=24)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's a bit hard to make out whether there's any relationship here, since a few articles are significant outliers in terms of their share counts. Let's try log-transforming the x-axis to see if we can reveal any patterns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/charlenechambliss/anaconda3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Our data has over 80,000 rows, so let's subsample it to make the log-transformed scatterplot easier to read\n",
    "\n",
    "subsample = main_data.sample(5000)\n",
    "\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 10))\n",
    "\n",
    "subplots = [a for a in ax]\n",
    "\n",
    "for platform, subplot, color in zip(platforms, subplots, colors):\n",
    "    # Regression plot, so we can gauge the linear relationship\n",
    "    sns.regplot(x = np.log(subsample[platform] + 1), y = subsample['SentimentTitle'], \n",
    "                ax=subplot, \n",
    "                color=color,\n",
    "                # Pass an alpha value to regplot's scatterplot call\n",
    "                scatter_kws={'alpha':0.5})\n",
    "    \n",
    "    # Set a nice title, get rid of x labels\n",
    "    subplot.set_title(platform, fontsize=18)\n",
    "    subplot.set_xlabel('') \n",
    "    \n",
    "fig.suptitle('Plot of log(Popularity) by Title Sentiment', fontsize=24)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contrary to what we might expect (from our idea of highly emotional, clickbaity headlines), in this dataset we find no relationship between headline sentiment and article popularity as measured by number of shares. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                       81417\n",
       "mean     16859 days 20:08:20.4...\n",
       "std       64 days 18:03:50.779344\n",
       "min           16747 days 05:25:00\n",
       "25%           16805 days 20:54:00\n",
       "50%           16857 days 06:04:23\n",
       "75%           16913 days 08:15:00\n",
       "max           16989 days 15:59:22\n",
       "Name: TimeSinceEpoch, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "# Convert publish date column to make it compatible with other datetime objects\n",
    "\n",
    "main_data['PublishDate'] = pd.to_datetime(main_data['PublishDate'])\n",
    "\n",
    "# Time since Linux Epoch\n",
    "t = datetime.datetime(1970, 1, 1)\n",
    "\n",
    "# Subtract this time from each article's publish date\n",
    "main_data['TimeSinceEpoch'] = main_data['PublishDate'] - t\n",
    "\n",
    "# Create another column for just the days from the timedelta objects \n",
    "main_data['DaysSinceEpoch'] = main_data['TimeSinceEpoch'].astype('timedelta64[D]')\n",
    "\n",
    "main_data['TimeSinceEpoch'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So it looks like all of the articles were published within about a 200-day window."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sentiment Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the list of top 12 sources by number of articles\n",
    "source_names = list(main_data['Source'].value_counts()[:12].index)\n",
    "source_colors = list(sns.husl_palette(12, h=.5))\n",
    "\n",
    "fig, ax = plt.subplots(4, 3, figsize=(20, 15), sharex=True, sharey=True)\n",
    "\n",
    "ax = ax.flatten()\n",
    "for ax, source, color in zip(ax, source_names, source_colors):\n",
    "    sns.distplot(main_data.loc[main_data['Source'] == source]['SentimentTitle'],\n",
    "                               ax=ax, color=color, kde_kws={'shade':True})\n",
    "    ax.set_title(source, fontsize=14)\n",
    "    ax.set_xlabel('')\n",
    "    \n",
    "plt.xlim(-0.75, 0.75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Overlay each density curve on the same plot for closer comparison\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "\n",
    "for source, color in zip(source_names, source_colors):\n",
    "    sns.distplot(main_data.loc[main_data['Source'] == source]['SentimentTitle'],\n",
    "                               ax=ax, hist=False, label=source, color=color)\n",
    "    ax.set_xlabel('')\n",
    "    \n",
    "plt.xlim(-0.75, 0.75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By overlaying the density estimates onto the same plot, we can get a better idea of how their shapes differ than trying to compare each plot to the other. \n",
    "\n",
    "We see that the sources' Sentiment distributions (for article titles) are very similar - it doesn't look like any one source is an outlier in terms of positive or negative headlines. Instead, all 12 of the most common sources have distributions centered around 0 with modestly sized tails."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Er0ld6uoKyZ7qWVNQrXq+srIyrwc5s9mMv/71r9i0aZNbj05QUBBSUlJQUFCAc+fOeTzWm1PXDx8+HCEhIbhw4YIyk+TevXthsVjw0EMPKZNz1NXt/iDh+rxUnVnV29cHal4QvCH279+PhQsXuv0RQBRFdO7cGSNHjsT+/fvv+Bquz2VgYOBte35r+hzX5fPg6j30hGsOEpEvYJAjIp/m+kXO1VvjiWvK+rr08N3Jdbx1rTt1p+/Jrcs1uFQ9X0RERJ3qUp8hdvPnz8fu3buh1+sxY8YMpKSkICEhAW3btoUoinj11VdrDHLepNPp8PDDD2PLli3Ys2cPkpKSsHv3bgANG9boms7eE1cAqRqevX19b/r6668xe/ZsyLKMoUOHIjU1FUlJSYiPj0dgYCC+/vprrwS5qsNobzeM1/WZbM6fNyKi5sLJTojIp8XHxwO4/QQErnWt7mSCCNd1srKyUFpa6rFMenq68kv7rcMhm9KdvicXL170eIwrRBkMBoSFhQGAMtmFpyUBALgt+3A7ubm5+PzzzwEAf//73/HKK69g6NChaN++vfJL/PXr1+t0Lm8YO3YsAODgwYMoKyvD999/j7CwsAbdY1nTkN7MzEyUl5dDFEV07Nix0a7vTR999BFkWca4ceOwcuVKPP744+jWrZvSu+WtNmrXrh3UajWsVisuXLjgsYzRaFSWAmjOnzcioubCIEdEPs31i+3u3burLRYNOH6xPHjwIAC4zVDnGjpV1/tdEhIS0L59e0iShH/+858ey2zYsAGA414y1wySzeHBBx8E4JgIJisrq9r+8vJy7NixA4D7e+Kyd+9ej71yW7ZsAQCMGDFC2eYKdFlZWdUmwLDZbHWeKTQrK0tpi27dulXbf+nSJfz3v/9Vznunamv/e++9F+3atcNPP/2ETz75BFarFY888kiDhnB+++23yMnJqbbdNdyxb9++1e7n8ub1vcn1efJ0358sy8rEPLfOIlnfn7egoCD07dsXQM3DQjdv3gyr1Yrw8PBq94kSEfkDBjki8mmjRo1CfHw8CgoK8MILL7j1CKSnp+O5556DyWRCSkqK20yZrqFb2dnZdb7Wiy++CMAx3fnWrVuVX0rtdjs+/PBDZTHwV1555Y5f153o27cv+vfvD4vFgueff95tKvjc3Fy8+OKLyM3NRbt27TxON5+bm4tXX31VCcaSJGHVqlXYtWsXAgMDMX36dKVsz549oVKpYDQasWjRIuUX+LKyMrzxxht1nmCmQ4cOSs/b3//+d7cg8O2332L69OlKgKtpxsT6qK39BUHAo48+CgBYsWIFgIYPa7RYLJg1axZyc3OVbVu2bMHHH38MQRCUz1VjXd+b7rnnHgCO+hcUFCjb8/Ly8OqrryozTd7aRg35eXvhhRcgiiI2bdqEVatWKe0vyzJ27NiBhQsXAnAsB+KapISIyJ/wHjki8mlarRbLli3Dr371K3z33XcYPnw4OnXqBEmS8NNPP0GWZSQlJWHRokVua165pmP/8ccflft8Fi9efNtrjR07FhcuXMDq1asxf/58LFq0CLGxscjMzERxcTFUKhXmzp2LoUOHNuprrouFCxdi6tSpuHDhAn7+858jISEBGo0GP/30E2w2G9q0aYOlS5d6nNkvISEBBw8exODBg9GxY0dcv34dBQUF0Gq1+NOf/uS2pEGrVq2QlpaGNWvWYM2aNdi9ezeio6ORnp4Os9mMmTNnKkHkdiIjIzFp0iSsW7cOq1atwtatWxEXF4e8vDzk5eVBrVajX79+OHbsGPLy8u74/alL+48dOxbLli2D0WhEu3btqs38WFcPPPAAjh07huHDh6Nz5864ceOG0kP329/+FgMGDPB4nLeu700zZ87Ef/7zH1y4cAHDhg1DfHw8bDYbMjIyYLPZcN999+H777+HxWJBcXGxMjFLQ37e+vfvjzfeeAPvvfceFi5ciNWrV6N9+/bIyclRhuw+88wzmDRpUuO+aCKiFoo9ckTk8xISErBjxw7MnDkT8fHxyMjIQE5ODpKTkzF//nxs2bKl2np0AwcOxCuvvILY2FhkZWXh9OnTdZoy/be//S3WrFmDoUOHwmaz4dy5cwgKCsLYsWOxefNmTJkypbFeZr0YDAZs3rwZc+fORbdu3ZCdnY0rV64gISEBL730ErZv315t0W2XIUOGYPXq1UhKSsLFixchiiJGjx6NTz/9FKmpqdXKz5s3D++++y569OiBsrIyZGZm4r777sMnn3zisXxN3njjDfzpT39Cz549YbPZcP78eWg0GowZMwabN2/G//zP/wAAjh07VuukM7WpS/u3b98eKSkpAO6sN6x79+745JNP0L9/f2RkZKC0tBQDBw7EmjVrbrvgvbeu7029e/fG9u3bMXLkSERGRuLixYsoKChASkoK3nvvPfzjH/9AcnIyAOCLL75Qjmvoz9svf/lLbNq0CT//+c+h0Whw9uxZiKKI1NRUfPzxx5g/f36jvVYiopZOkLkgChERAXjttdewfft2TJ06FfPmzWvu6jQ7WZYxfPhwZGVlYf/+/U0+oUZzX5+IiFo29sgRERF58O233yIrKwv33Xdfs4So5r4+ERG1bLxHjoiIyCknJwc2mw35+fl48803AQCTJ0/2m+sTEZHvYJAjIiJy+uKLL/D73/9eef6zn/0MDz30kN9cn4iIfAeHVhIRETklJiYiIiICQUFBGD16NJYsWaKsgeYP1yciIt/ByU6IiIiIiIh8DHvkiIiIiIiIfAyDHBERERERkY9hkCMiIiIiIvIxDHJEREREREQ+hkGOiIiIiIjIxzDIERERERER+RgGOSIiIiIiIh/DIEdERERERORjGOSIiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6GQY6IiIiIiMjHMMgRERERERH5GAY5IiIiIiIiH8MgR0RERERE5GMY5IiIiIiIiHwMgxwREREREZGPYZAjIiIiIiLyMQxyREREREREPoZBjoiIiIiIyMcwyBEREREREfkYBjkiIiIiIiIfwyBHRERERETkYxjkiIiIiIiIfAyDHBERERERkY9hkCMiIiIiIvIxDHJEREREREQ+Rt3cFSAiIv+xZMkSLF269LZlduzYga5duzZRjW4aNmwY2rRpg3Xr1jXpdSdPnoysrCwcOnSoSa9LRES+jUGOiIia3PPPP4+OHTt63Ne6desmrg0REZHvYZAjIqImN3DgQPTv37+5q0FEROSzeI8cERERERGRj2GQIyKiFkeWZXzyyScYP348UlJSkJycjIcffhirVq2CLMtuZX/44QdMnz4d/fr1Q//+/fHcc8/h/PnzbmX+7//+D1OmTEFKSgpSUlIwdepUnDx50uO1t2zZguHDhyM5ORkTJkzAv//972pljh8/jmeffVY5X1paGo4dO9bgclVVVFRgwoQJSElJwffff1/bW0VERH6KQY6IiJpcWVkZioqKqn1ZrVYAwAcffIC3334bnTp1wuuvv45XXnkFOp0OCxcuxI4dO5TzHD9+HJMmTcKlS5cwbdo0zJw5ExcvXkRaWhquXbsGAPjPf/6DyZMno6ysDC+99BJmzpyJ7OxsTJo0CcePH3er148//oh3330Xo0aNwiuvvILS0lLMmDEDR44cUcocPHgQkydPRk5ODmbOnImZM2ciJycHzz77LA4ePFjvclVZLBbMmjUL58+fx/Lly3Hvvfd67T0nIqK7iyDf+qdNIiKiRlLbrJVr165Fnz59MGDAAAwZMgR//etflX3l5eX42c9+hvvvvx8rV64EAEyYMAE5OTnYtWsXIiIiAADp6ekYNWoUpkyZgt/85jcYOXIkDAYD1q9fD5VKBQAwGo0YO3Ys9Hq9EgyHDRuGrKwsrFq1CkOGDAEAFBcXIzU1FW3atMG2bdtgs9kwfPhwCIKA3bt3Izg4GABQWlqK0aNHA3AEOEEQ6lROo9Eos1YeOHAAL7/8Mg4dOoRly5YpdSAiIvKEk50QEVGTmzdvHrp06VJte5cuXaDRaHDkyBGld87lxo0bCA4OhtFoBAAUFhbi1KlTmDJlihLiACA+Ph5bt25FXFwczpw5g8zMTPziF79ASUmJ2/mGDh2Kjz/+GNevX0dsbCwAoHPnzm4BKjw8HGPGjMG6deuQn5+PnJwcXL9+Hb/5zW+UcAYAoaGh+OUvf4mFCxfixx9/hEqlqlO5lJQUZd9bb72Fffv2YcGCBQxxRERUKwY5IiJqct27d7/trJUajQaHDx/GwYMHkZ6ejitXrihBzDWQJCsrC7Iso0OHDtWO79atGwDg6NGjAID3338f77//vsdr5eTkKEHO05II7du3V66XnZ0NwBEWb+U6Njs7G4Ig1KmcK8hlZWVhy5YtAIATJ07g8ccf91hXIiIiFwY5IiJqUWRZxty5c7F7927ce++9SElJwVNPPYV+/frhmWeeUcpJkgQAEMWab/d2lXnppZfQu3dvj2VqWs/O03VudzeCa59Go6nWm1hTORdBEPD222/jxIkT2LJlC8aOHcv744iI6LYY5IiIqEU5fvw4du/ejRdeeAEvvfSSst1ms6G4uBjt2rUDAMTFxQEArly5Uu0cf/7znxEWFoZ+/foBAPR6PQYOHOhW5uTJkygpKUFAQICyLSsrq9q5XOdv166dEuouX75crVx6ejoAIDY2ts7lXFq3bo2nn34aI0aMwKFDh/DWW29h+/btbmGPiIioKs5aSURELUpxcTEAoFOnTm7bN2/eDJPJBJvNBgCIiYlBly5d8Pnnn6O8vFwpl5mZibVr16KgoAA9evSAwWDAunXrUFFRoZQpLy/Hyy+/jNdff12ZAAUATp8+jTNnzijPCwoKsHPnTvTt2xcRERHo3r07DAYDPvnkE7drlpeXY+PGjTAYDOjRo0edy90qKioKs2fPxk8//YSPPvqooW8hERH5AfbIERFRi5KSkoLg4GD88Y9/RHZ2NkJDQ/Htt99iz5490Ol0boHs9ddfx69+9Ss88cQTmDBhAkRRxPr16xEaGorp06dDo9Hgd7/7HV5++WWMGzcO48ePh06nw5YtW5CdnY2//OUvUKtv/lcYFhaGadOmYcqUKVCpVNiwYQNsNhtef/11AHA73xNPPIHx48cDAD799FPk5eVh8eLFEEURoijWqZwnkyZNwtatW7F8+XKMGjVK6YEkIiKqissPEBFRk3EtP7B27drbTnby/fff4y9/+QvOnTsHrVaL+Ph4pKWl4eTJk1i7di2++uorREVFKWUXL16MkydPQqfToV+/fpg7d64ySQngmPRkxYoVOHXqFERRROfOnTFjxgwMHTpUKTNs2DD06dMHycnJWL16NYqLi9GrVy/MnTsXPXv2dKvf0aNHsXz5cpw6dQpqtRq9evXCzJkz0bdv33qXcy0/cOjQIWXbiRMnMHHiRAwaNAgffvhhw95sIiK6qzHIERERERER+RjeI0dERERERORjGOSIiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6GQY6IiIiIiMjHtIgFwW/cqIAkcRWEhoqMDEZhYXlzV4OaENvc/7DN/Q/b3P+wzf0T293/3NrmoiggIiKo3udpEUFOkmQGuTvE98//sM39D9vc/7DN/Q/b3D+x3f2PN9qcQyuJiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6mRUx2Qnem1GJFKep3w2SgKELDG2uJiIiIiHwSg9xdoMJqx5HswnodM7B1JDQQGqlGRERERETUmDi0koiIiIiIyMcwyBEREREREfkYBjkiIiIiIiIfwyBHRERERETkYxjkiIiIiIiIfAyDHBERERERkY9hkCMiIiIiIvIxDHJEREREREQ+hkGOiIiIiIjIxzDIERERERER+RgGOSIiIiIiIh/DIEdERERERORjGOSIiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6GQY6IiIiIiMjHMMgRERERERH5mDoFuV27dmHUqFEYOXIkNmzYUG3/6dOn8cQTT+DRRx/FjBkzUFpa6vWKEhERERERkUOtQS43NxeLFi3Cxo0bsWPHDmzatAkXL150K/Pee+9h9uxWHbwsAAAgAElEQVTZ2LlzJ+Lj47F69epGqzAREREREZG/qzXIHTlyBAMGDEB4eDj0ej1SU1Oxd+9etzKSJKGiogIAYDKZEBAQ0Di1JSIiIiIiotqDXF5eHgwGg/I8Ojoaubm5bmVee+01vPnmmxg0aBCOHDmCp59+2vs1JSIiIiIiIgCAurYCkiRBEATluSzLbs8rKyvxxhtv4OOPP0bPnj2xZs0azJs3D6tWrapzJSIjg+tZbaoqp6ISIcH16wXV67UwBLHn1JcZDCHNXQVqYmxz/8M29z9sc//Edvc/3mjzWoNcbGwsjh8/rjzPz89HdHS08vzChQvQ6XTo2bMnAOCpp57C3/72t3pVorCwHJIk1+sYqkKvQVl5Zb0OMRotyDdaG6lC1NgMhhDk55c1dzWoCbHN/Q/b3P+wzf0T293/3Nrmoig0qGOr1qGVAwcOxNGjR1FUVASTyYT9+/dj8ODByv4OHTrg+vXruHz5MgDg4MGDSE5OrndFiIiIiIiIqG5q7ZGLiYnBnDlzkJaWBqvVivHjx6Nnz56YPn06Zs+ejeTkZPzxj3/Eyy+/DFmWERkZiT/84Q9NUXciIiIiIiK/JMiy3OxjGjm08s7Y9BocuJhTr2MGto5EKITaC1KLxGEY/odt7n/Y5v6Hbe6f2O7+p8mGVhIREREREVHLwiBHRERERETkYxjkiIiIiIiIfAyDHBERERERkY9hkCMiIiIiIvIxDHJEREREREQ+hkGOiIiIiIjIxzDIERERERER+RgGOSIiIiIiIh/DIEdERERERORjGOSIiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6GQY6IiIiIiMjHMMgRERERERH5GAY5IiIiIiIiH8MgR0RERERE5GMY5IiIiIiIiHwMgxwREREREZGPYZAjIiIiIiLyMQxyREREREREPoZBjoiIiIiIyMcwyBEREREREfmYOgW5Xbt2YdSoURg5ciQ2bNhQbf/ly5cxefJkPProo5g2bRpKSkq8XlEiIiIiIiJyqDXI5ebmYtGiRdi4cSN27NiBTZs24eLFi8p+WZYxc+ZMTJ8+HTt37kTXrl2xatWqRq00ERERERGRP6s1yB05cgQDBgxAeHg49Ho9UlNTsXfvXmX/6dOnodfrMXjwYADA888/j0mTJjVejYmIiIiIiPycurYCeXl5MBgMyvPo6GicPHlSeX716lVERUVh/vz5OHv2LDp27Ijf/e539apEZGRwvcqTu5yKSoQEB9TrGL1eC0NQ/Y6hlsVgCGnuKlATY5v7H7a5/2Gb+ye2u//xRpvXGuQkSYIgCMpzWZbdnttsNnz33XdYv349kpOT8cEHH2DBggVYsGBBnStRWFgOSZLrWXVS6DUoK6+s1yFGowX5RmsjVYgam8EQgvz8suauBjUhtrn/YZv7H7a5f2K7+59b21wUhQZ1bNU6tDI2Nhb5+fnK8/z8fERHR1epiAEdOnRAcnIyAGD06NFuPXZERERERETkXbUGuYEDB+Lo0aMoKiqCyWTC/v37lfvhACAlJQVFRUU4d+4cAODQoUPo3r1749WYiIiIiIjIz9U6tDImJgZz5sxBWloarFYrxo8fj549e2L69OmYPXs2kpOTsWzZMrz55pswmUyIjY3F+++/3xR1JyIiIiIi8kuCLMvNfnMa75G7Mza9Bgcu5tTrmIGtIxEKofaC1CJxPL3/YZv7H7a5/2Gb+ye2u/9psnvkiIiIiIiIqGVhkCMiIiIiIvIxDHJEREREREQ+hkGOiIiIiIjIxzDIERERERER+RgGOSIiIiIiIh/DIEdERERERORjGOSIiIiIiIh8DIMcERERERGRj2GQIyIiIiIi8jEMckRERERERD6GQY6IiIiIiMjHMMgRERERERH5GAY5IiIiIiIiH8MgR0RERERE5GMY5IiIiIiIiHwMgxwREREREZGPYZAjIiIiIiLyMQxyREREREREPoZBjoiIiIiIyMcwyBEREREREfkYBjkiIiIiIiIfwyBHRERERETkY+oU5Hbt2oVRo0Zh5MiR2LBhQ43lDh8+jGHDhnmtckRERERERFSdurYCubm5WLRoEbZt2watVounn34a/fv3R6dOndzKFRQU4E9/+lOjVZSIiIiIiIgcau2RO3LkCAYMGIDw8HDo9XqkpqZi79691cq9+eabmDVrVqNUkoiIiIiIiG6qtUcuLy8PBoNBeR4dHY2TJ0+6lVm7di26deuGXr16NagSkZHBDTqOHHIqKhESHFCvY/R6LQxB9TuGWhaDIaS5q0BNjG3uf9jm/odt7p/Y7v7HG21ea5CTJAmCICjPZVl2e37hwgXs378fH3/8Ma5fv96gShQWlkOS5AYdSwD0GpSVV9brEKPRgnyjtZEqRI3NYAhBfn5Zc1eDmhDb3P+wzf0P29w/sd39z61tLopCgzq2ah1aGRsbi/z8fOV5fn4+oqOjled79+5Ffn4+nnjiCTz33HPIy8vDxIkT610RIiIiIiIiqptag9zAgQNx9OhRFBUVwWQyYf/+/Rg8eLCyf/bs2di3bx8+++wzrFq1CtHR0di4cWOjVpqIiIiIiMif1RrkYmJiMGfOHKSlpWHs2LEYPXo0evbsienTp+PUqVNNUUciIiIiIiKqQpBludlvTuM9cg1zMKcQp4rLMbF7e5y4VlivYwe2jkQohNoLUovE8fT+h23uf9jm/odt7p/Y7v7HW/fI1TrZCbVMn2XmYfXFLADAd4UlGBAVhs4hereJaFoKqyjAJEn1Pi5QFKFhwCciIiIiqoZBzgdtzriO9ek56B8VhgdiwrH9Wj4O5BThcpkJg2MioFermruKbkyShCPZ9esxBBy9hhr2GhIRERERVVPrPXLUcsiyjPWXs7E+PQeDosMxtn00IjQazOmdgB7hQcioMOGfGddxqczY3FUlIiIiIqJGxCDnI2RZxkeXsrD5Si6GxrbC6DYG5b5CURCQEKzHg9ERCFSpsC+7EIevF6EF3P5IRERERESNgEHOB0iyjJUXruGzzHyMbBOFkXGtYPcQ0kI0agwyhCEhJBBnSipwzWhuhtoSEREREVFjY5DzAZuv5OJf2QUY3c6AYdHhuN38H6IgoGtoEPQqEUfzi9krR0RERER0F2KQa+GMNjs+y8xDv6gw3B8VBnsdcplKENAlNAgFZisulZkav5JERERERNSkGORauP/NKUSFzY4hMRG37Ym7VVu9DqEaFb4pKPE4DJOIiIiIiHwXg1wLZpNkfJaZh65hQYjSaep1rOAcYllqteFccUUj1ZCIiIiIiJoDg1wL9nXeDRSYrRgaFwl7AxbGjgnQIlKnwXeFJbA2YEFuIiIiIiJqmRjkWihZlrHtai7a6gPQLlDboHO4euVMdgknb5R7uYZERERERNRcGORaqP/eKENGRSVGtI6s171xt4rUaRAboMWJolJU2u3eqyARERERETUbBrkWatvVXLTSapAUEnjH5+oaFgSrJONEYZkXakZERERERM2NQa4FulRmxA83yjGizZ31xrmEatRor9fhVHEZyqy2Oz8hERERERE1Kwa5Fmjb1VwEqkT0DAvy2jmTQoMgy8CxwlKvnZOIiIiIiJqHurkrQO6um8z4T34xHm5jgAgB3loBTq9W4Z7gQJwvqcC9rUK9dNaWxyoKMDVghs5AUYTGG92fRERERERNgEGuhdmZmQ8RAvpFhnotxLl0DglERrkJJ4pK8cg9MV4+e8tgkiQcyS6s93EDW0dCA6ERakRERERE5H0cWtmClFpt+N+cQgyMDodO9H6oCFCp0CEoAOdLKlBQafH6+YmIiIiIqGkwyLUge7MKYJYk3B8dDrmRRvl1CtFDBvD51bzGuQARERERETU6BrkWwi7L2JtdgJ4RIQhVN96IV71ahfZBAfgiuxBFZmujXYeIiIiIiBoPg1wLcaKwFAVmK34WHQ6psbrjnDqH6GGXZezIZK8cEREREZEvYpBrIf6VXYAIrRr3BAU0+rWC1CrcGxWKf2UVoMTCXjkiIiIiIl/DINcC5FVa8H1hKR6IjYDURFPgj2gTBYskYee1/Ca5HhEREREReU+dgtyuXbswatQojBw5Ehs2bKi2/8CBA3jsscfw6KOP4oUXXkBJSYnXK3o3259dAAFA74imW98tRq9Dj/Bg7L6Wj3KrrcmuS0REREREd67WIJebm4tFixZh48aN2LFjBzZt2oSLFy8q+8vLy/H2229j1apV2LlzJ5KSkrBkyZJGrfTdxCbJ+N+cQvSODEVgIyw5cDtDYiJgskvYncVeuZbOKgoohax85VRUuj2v6cvaxJ8pIiIiImoatU6PeOTIEQwYMADh4eEAgNTUVOzduxezZs0CAFitVrz11luIiXEsMJ2UlIRdu3Y1YpXvLt8VlOCGxYZfGMLRRKMqFXGBOnQNC8Jnmfl4tG009GpV01aA6uzWhc5DggNQVl5Z63Fc6JyIiIjo7lRrkMvLy4PBYFCeR0dH4+TJk8rziIgIPPTQQwCAyspKrFq1CpMnT65XJSIjg+tV/m5y6Ew6ogO1SI4Nh3QH59HrtfUqr9NpoNVpMCYhDu+fuIgvi0uR1rX9HdSgZraKSoQE138SF71eC0M9J39p6LV0AWrYxPrdMhqkUSFUq6n3tRrC0+uqy+tsyHtILZfBENLcVaAmxjb3P2xz/8R29z/eaPNag5wkSRCEm3/Rl2XZ7blLWVkZXnzxRXTp0gWPP/54vSpRWFjeZJN8tCTZRjO+yy3GuA4xKCo2Nvg8EeF6GI2Weh1jNlthNFkRBiAxRI+1ZzPRLzgIUQH1C4R1YYRcp96jascZLcg31m9WzYZeqyxUj+PZRfU6ZmDrSJhR/2s1xK2vq649cg15D62iAJNU/z8rBIoiNH74c9xUDIYQ5OeXNXc1qAmxzf0P29w/sd39z61tLopCgzq2ag1ysbGxOH78uPI8Pz8f0dHRbmXy8vIwbdo0DBgwAPPnz693JfzVvuwCiAKQHN68PZKj2kRh+YVMLDx7Be/26gQV76vya7cO46wrDuMkIiIiajq1BrmBAwdiyZIlKCoqQmBgIPbv34933nlH2W+32/H888/jkUcewQsvvNColb2bWCUJB68XoW9kGAJEocnvj6vKEKDFo20N+PRqHjZduY6J8XHNV5lGZpdkmCUJVkmGXb75db64HJkVlW7b7LIMSYbzu+OxBEevtAQg02SG2rnf8QVIzscyAJUgQCUAoiBAJQgQBcc2EUK1fSpBgEZ0fYnQiALUzm1qUYRVcCxT4TrGblbBZLVBdJ5XgOO7KAgQAY+95kRERER096g1yMXExGDOnDlIS0uD1WrF+PHj0bNnT0yfPh2zZ8/G9evXcebMGdjtduzbtw8A0KNHD7z33nuNXnlfdiS/GKVWGwYYwpo1xLmktArF5XITNmVcR/fwYPSKaNyx2pIsI6/SgmKLDTZJgk2WHV/SzSB0rdKCUFFEgMrxpVOJUAsCZDjCkywDEhzfzZIEo82OIpsdl0sqYJEkmO2y47skwWKXYHae26OrefWqvwDg5I0yZyhzBrQqYc3xGquEQKBKOHSEvsYkABAFYPXFLKgFRyjUqRwBUSuK0Dq/B6hE6NUqBKlV0Ksc30W1iGtlJmhFxzGu8q73nyGRiIiIqPnVGuQAYMyYMRgzZozbtv/3//4fACA5ORnnzp3zfs3ucnuzChEToEVcgLZFBDkAGN3GgEyjGQvPZGBxvy4I9/JEHmVWGzIrKpFZUYlrxkqYPbxwAYDaGRRO3ShHfd8alSAoIUUrCtCqRASqNdC6ersEEWrxZg+ZCEcw6RMTjpN5xco2V++WIAAqOL6LggDBWUcIAoa0jUKlyXH/2c163q7GgtsjVwiVcLP3zybLsEsybHB8d22DSsQPBSWQZcAOGWq1ChaLzdlDCMhwhF/ZeR4Zjm1tQvSw2R1B2SrJsEoSbJIj4FZKEkrMNpgqHCHYZLPXOuGOCDiDtUoJ2K6vErsdBo0aoRo1QtRqhGrVCHGGRIY/IiIiIu+qU5Aj77paYcLpknI8eU9siwlxAKBTiXi6QwxWXLiGRWev4K2eCRDv8BfwcqsN27PycTCrAMUWx8LjQWoV2gcHIjpAixC16Da8UHT2uEEGBreNhNFkgUWSYXUGEbssK0MJBcARsCBALQoIEEXoAzX46loh4AxJdX17O4frceVG+e0LKQEJgCwjUKOCXFMP322oBQGlVSancQRHARAAHQB4WAVCH6hBVunNCXH0em2dJrgZcU80DqQ7extrWF3C9T46QiLQv3UrHM7Mh02S3XpKbZIMiyzB4urptEsoslhRaXc8PlHk+UZtlQCEqNUIcYU8jcr5XY1Q5+Oqz0M0akfPIMMfERERUY0Y5JrB7msFUAsCujfzJCeexAbqMKpNFHZey8eOzDyMax/ToPPcsFixMzMPe7IKYLJLaK3XISFEj0idBkEq0WOAlZ1DEd05e9iAGoPIraQGhKuGsEgSDmcW1Pu4B9tFNUJtGs7Rk+d4LAII06kRpFLV+f0WBMdJ7mvdCsUVZpjsdhhtEkySBJPNDqPzudFmR4XNjmvGSpTb7Ciz2mocYioACNGoEaxRIdgZ/oKdYS9Yo0YrrRoRakePX6jWEQSD1CplWCsRERHR3Y5BronlV1pwIKcQg2MjoEHde4ya0n2RoUgvN2HtpWx0CwtGl7CgOh+bX2nB9qt52J9TAKskY4AhHEPbRuJsQZkSsFpSLyTdOVcIDFSJkDVqhGnq+s+KDJVGjS+yCmC2S7BKEiySBIsE52NHz1+pxYp8kxlmu2M4aE2fHwGOtf2CncM6w7UahOuc37VqRAdoYdA4nodp1OzxIyIiIp/GINfEtly5DgB4IDqiRYY4wDHj4WNtDcgymvH//XAR9xvCMTS2FXqEB3v85ddks+N4YSmO5Bfj24ISyJAxKCYC9xvCEaJWISBAg9NN1EtGzUevrf8/J1q1CgGiiIC6LsYuy7AD6Ne6FQ5fzYfFOQOpa+itY3IbGaUWK3KNZhjtdlg9JD9RAMI1GkRo1YjQaRChdT7WahCh06CVM/xFaDXQqeq3UDwRERFRU2CQa0J5lRYcyCnCg3GtoHPdC9ZCBapVeKZjHI4WluA/+cU4eL0IUToNhsS0wtDYCLTSavBdYQmO5Jfg/4pKYZVkhGnUGNa6FQZEhSNAFBwTebTkF0le1ZChpiPio2svVJUgQAWgVYAGoXXo+RMFwO6c1bRrqxDcMFlQ4RziWWa1odRqQ4HZiotlRpRYbB5/JvVqFcK1aoQ5w124TnPzsbPXL0yrQXCVSV24ODoRERE1Nga5JuTqjbvfEN6iQ5xLVIAWY9oY8HBcJH4qM+KHG+XYfjUXW6/mQoRjTbVInQZDY1uha1gw4gK0yj1u7ICrWUN7rqj+JNkx5DJAFNE1MgRG54Q7nsgyUG6zo9xqQ6nFhjKr46vcZsel4goUVlqQVWGC0eaYBfRWogDoVSro1Sq0Cw6AQevq6XP18t0c5qmpaw8kERERUQ0Y5JpIrsmMAzmFGBoX2eJ7426lEUV0CwtGt7BgGG02nC41wiJJ6BoWBINWo0xYUeMabeSmSXquqJqGvO8CgMc7xiozf7oGFtsho9IuKUM5zc6ZOyslCZV2CbkmC34qMaLU6jk4hmhUzuGbjoB3c3in+3BPvUrk0g1ERETkEYNcE9lyJRcCBAyK9o3euJro1Wr0axWqPG/sha2JWhLXx12E4Oh9U3nuKX2wXRQqK22QIaPCZnf09NnsysydZVY7Sp09f9nGStyw2Dz28mlFQQl8caGBCJCgLN+gfGlda/c51vZj8CMiIvIPDHJN4LrJjIPXCzEsLhJa+FZvHBHVX9Xhs4HQ4HYLTjhXb0ClXYJVlpFnNDuGdFYJe6UWG87fKEeZxYpyq73Gf0M0olAl5FVdr899Db+qX5zMhYiIyDcxyDWBzVeuQxQE3O/jvXFEVDcNXWNwRHw0vs+5oTzXQ4Beq0GsVgO9XotKkwUy4Fic3blEg1WS0blVMEosVlRYHT1+FVbHvX65lUaUO7fV9G+P1i38eQ57jp4/FULUjsdahj8iIqJmxyDXyHJMZhy6XoQRrdkbR0R3xjURpkoQEKhSIdA5svPe6DAcSM9DIAQEqtWIUquBQB0EOJYTkXFzeQbHdxmdIoJQarEpwa/CakOZzY7sSjPKrY5hoDUJUIluvX6hzvUDQzRqhGkdj6sO+wxWq7huHxERkZcxyDWyzRnXoRYEDIxquevGEdHdSQYgO++9UwsC1CoV4Ax//WLCcSA9z9Hrp1HD4FzOoWr4c/T4uRZndzxuH6pHqcWGcptj+GeR1YarxkqUWewwS5LHeogCEKp2hLxWznX6IrSam491amUbe/uIiIjqhkGuEWUbzfgitwgPtY6CVgCDHBG1eFXDn0YQoFGpoK8yp8vQtpE4kJ6HII0GMRoNgJvhzy67hny6h7/YoABUOJd0KLHacKW8EsUWKzzFvmC1Cq2cs3ZG6jSI0mkQqdMiSucIflE6xxqCnNSFiIj8HYNcI7FJMpadvwq1IOBnUbw3jojuXq7wJwDQiSJ0t6yTN6pjbLU1/GQZqLA5JnQps1hRarWjzOJYpL3UakOJ2YZMYyVumK3V/v3UiAIita5gp3UEvgBH4IvUOh6HazVQMewREdFdjEGukay5lIVTxeWY1rkNe+OIyK/VdfIXEUC4SoVwlQoI0GFUQizKzTZlkfZiqw2lFitKLDYUW2woNltxtrQCxRYrrJL7v7KiALS6Nezp3J+Ha9XQiVyygYiIfBODXCP435xC7LqWj4fbRKFzsJ4LZRMRNYBFkvDVteoBMBACArUaxGk1EJzLWlolGWbJjoSIEJSYLM5hnHYUm624UmHCiaJSVNqrD+Z0LdkQonZfrqHq7J0hzoldgtSOiVv0ahXUIsMfERE1LwY5LztXUoEV5zORHBGMITERsEsMcUREjcX1dzLHZC5q9DGEVRvGCQACBFTa7Y6ePYsNpdYqyzXY7Ki0SSixWJFXbkKFcyKX2/3rrRNF6NUqZ7ATEaRWKV/6Ko+D1I6F42/dH8jF24mI6A4xyHlRodmCP/54GZE6DZ66Jw4SQxwRUZOq7xp+riUbRnSOxoH0PLdZO13r9VllGRa7DJvsmLzF8V2GQa9DhdUOk92OG1Ybsk1mGG0SjDY7bLWMxBABJfDpbwl5wc7wF1NUAqnSViUsqhHkDI16tQoakTN8EhH5MwY5L7HYJfzhVDpMdgkvdGkPgcMpiYh8TtVZO5X1+gCP/1uOiHeEv6qqzuCpBD9JhlWWYJMcQ0A7hgehzGpFpU2GyW5Hpd0Oo01CsckMk82xhl+lXYJ85fZ1DVCJCFGrEOIcChqiUSNEXeWxRuV8fvNxkEbFSWCIiO4SDHJeIMuOGSp/KjPixS7tECSKnNyEiMgPVZ3B07V8A1TuZQa3aYUD6XnQqQSEqUQAGrf9gvNM6gANyo0WWCUZfWLCUWy2wSzZYbLZUWmXYbTZYHQu6F5usyO30ogKm/22w0IFAEFqFYI1KoSq1Qh2hj7Xwu1VQ1+wxn1IKHsAiYhaFga5O1RuteEfl7PxRe4NjOsQjbaBOnBEJRERNZTjvxABGudSDjoRaB8aiAtVev9EAMGCiGCNCLit5+c43ibLsNol9ImNQLHZCqPNrgz7NDrvCzRabSiy2pBpNKPCaoPRw2QwVWlFQZnsJcjtS+0Ih9W2O74C1SICVSoEqESI7A0kIvIaBrkGkmUZh3NvYM2lLJRabHi4TRT6tQpliCMiombh6A10PFZBgEqlQuvgAJzJL1XKqAGEiiJCtSKgdQZAwTEZjATHvX/9W0fghskKk01CpeQY5llpk2CyO+4HNNkkmGyO+wKzTGYlJNZlhuYAlYhAlSPYBapEBDonfnEFPVfoq7pPX+V5QJVjAzhhDBH5OQa5BrhaYcLKC9fwY3E5OoXoMSOpHcLVKoY4IiLyObIMyM5+QI0goFWAFidyiquVC4SAQJXaMVRU59hWdXKY4R2icaPScjP02SSYJQmVdjssdhmVdglmuwSzZIfZJqHSLsEiycg1W2C2O567ytSFgJvBUOcMgjrR9dwR9BxfVfapHd+r7VOJCBBvbuPyEkTkC+oU5Hbt2oUVK1bAZrPhmWeewaRJk9z2nz17Fm+88QYqKirQt29f/P73v4daffdlxCKzFZ9l5mHntTzoVSo806k1uoToIclgiCMiIr9TdXIYCMD316sHQBc1HMtEBLnCIG5OGOPqFXSd1SY7Zg21ybJj4hgJsDu32yUZ8eFBqLDYYZbssEgSLHbZERLtEkrtdlRarLA4nzsCY93CoVJXQYDOGRK1ogiNKEAnitCIIrQq12MBWtERAl37lbK3HKcVRWhFAVpVlcei6HzueMxhp0RUX7WmrdzcXCxatAjbtm2DVqvF008/jf79+6NTp05Kmblz5+Ldd99F7969MX/+fGzevBkTJ05s1Io3NlmWkVtpwenicpwuKcfp4grkmMwAgAdjW2F4bCuIYIAjIiK6U1V7BQFAhOAIODWUH9zaMWGMRhABlVhtQhnX/YKA4HgiyxjWIRollVZn8JNgdi0v4XxukRw9hBa7DHOVbXZZhtnmLCfJMFntjnLOGUktzp5FqyTd0URnakGATi1CIwjuYa+mEOgMla5tKsFxX6VKcDxWi4BaEKEWBKhEAWoBzu3ObVXKOB47twlwK6MSwCGsRC1UrUHuyJEjGDBgAMLDwwEAqamp2Lt3L2bNmgUAyMrKQmVlJXr37g0AGDduHBYvXuzTQe5cSQXeP52OArMVABCsViEpLAiDYiLQMTgQ4Ro1JC4vQERE1CLdvF9QhpKuBODY9Ru1HisACAAQIIqAKNa4zIQrI96cZ9RxIbssY0i7KJSZbTfXIpQAmyy5L0khycp3qyzBKskQRAFGiw1WyfHc6v8Mv+sAACAASURBVOxtNEkSSmx2ZbtFkmC1O9Y4tDbBX5RVzhAoOsOdCDgfO74r2wVHCHdtd227eaxjf/Vjb3mMKue79Ty4uV0AIDp7c13fBaGGbXAEUsd39/2icHOYcM3lnL3GVTKtcMv3Wx87/5pQ836nCEFCcYnRub96CbfjPVy/6rOa99/+XLWpy6+93vok1uU8damP5OrRd/bwux53CApAa33AHdezJag1yOXl5cFgMCjPo6OjcfLkyRr3GwwG5Obm1qsSYgsbix6iU2NIXCsYArVoqw9AhFYNWQbqNzCj6QSoRLQKrOnvlp4FqlVQNdFnWKtW1bt+QMPq2NBrBajqf1xDjvHWtQK0GgTU4R8xX3tdvFbNx92uzVtKHXkt7x5Xtc3vptflD9cK02lxuqCsxv0iAJ0gQKcSnL2Jji7FQe0N+PpqfrXytw0KsowBbSJhstogyTIkAHZJhl2++Yvsze9QvqtUAiqtEv5/9u49Por63v/4eza7mzsEwoYgKggiUECg1AucClYRNQGRQCtaRa0XsAjCw4qUoni84qWlItWH5zyo/rBAQSWCF6hWrBUTi3JaEEFEMcglhBAIJOS2l/n9sclCLkA27GZ22dfz8Ug3MzvznU92xpJ3vt/5jq/2l1tTZu1+dV/+0Une2n38vweZshmGarw+mbXt+ORv35T/eHW3m5g61oZkyOPzBdb55D+G2zTl8/nq7XOszbr2zOPaMxkJhdN2fmqSZvY9z+oy6uWflmYhwzRPnmlfeuklVVdXa9q0aZKk5cuXa/PmzXr00UclSRs2bNDvf/97LVmyRJJUUFCgSZMmac2aNS0qCAAAAABwcqd8umdmZqaKi4/9dai4uFgZGRknfP/AgQP13gcAAAAAhNYpg9yQIUOUn5+vgwcPqrKyUu+//76GDh0aeL9z586Kj4/Xhg0bJEkrV66s9z4AAAAAILROObRS8j9+4OWXX5bb7da4ceN011136a677tLUqVPVr18/ff3115o9e7bKy8vVp08fPfXUU3I6gx+HDgAAAAA4tWYFOQAAAABA5Djl0EoAAAAAQGQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJQhyAEAAABAlCHIRbG3335bWVlZGjFihBYvXmx1OWgFCxYsUHZ2trKzs/XMM89YXQ5a0dNPP62ZM2daXQZawdq1a5WTk6Nrr71Wjz/+uNXloJWsXLky8P/vTz/9tNXlIIzKy8s1cuRI7d69W5KUl5enUaNGacSIEZo3b57F1SEcGp7zZcuWaeTIkRo1apR++9vfqqampkXtEuSiVFFRkebNm6clS5borbfe0rJly/Ttt99aXRbCKC8vT+vWrVNubq7eeustffXVV/rggw+sLgutID8/X7m5uVaXgVawa9cuzZkzRy+++KJWrVqlLVu26OOPP7a6LIRZZWWlnnjiCb322mtauXKlvvjiC+Xl5VldFsJg48aNuvHGG1VQUCBJqqqq0qxZs/Tiiy/qvffe0+bNm/lv/gzT8Jx///33Wrhwof76179q1apV8vl8WrJkSYvaJshFqby8PF166aVKS0tTUlKSrr76aq1Zs8bqshBGLpdLM2fOlNPplMPhUPfu3bV3716ry0KYlZaWat68eZo0aZLVpQTF5/Ppvffe0x133KFhw4apb9+++ulPf6pp06bp3//+t9XlBdxyyy264oorgt7vhRdeUM+ePet99erVSwMGDNDo0aP16quvyufzBX2cDz74QFlZWcrMzJTD4dC8efPUv3//oOtDdPF6vfL5fKqsrJTH45HH41F8fLzVZSEMli9frjlz5igjI0OStGnTJnXp0kXnnHOO7Ha7Ro0axe9zZ5iG59zpdGrOnDlKSUmRYRi64IILWvz7nD2UhaL17N+/Xy6XK7CckZGhTZs2WVgRwq1Hjx6B7wsKCrR69WotXbrUworQGh5++GFNnz5dhYWFVpfSbGVlZZo+fbo++eQTXXzxxbrllluUlpamPXv2aOXKlRo/frweeugh3XzzzVaXetomTZqkbt26SZJM01RlZaU+/PBDPfXUU9q1a5ceeuihoNrbuXOnHA6HJk2apMLCQl1++eWaNm1aOEpHBElJSdF9992na6+9VomJibrooov04x//2OqyEAZPPPFEveWmfp8rKipq7bIQRg3PeefOndW5c2dJ0sGDB7V48WI99dRTLWqbIBelfD6fDMMILJumWW8ZZ67t27dr4sSJmjFjhrp27Wp1OQij119/XZ06ddLgwYO1YsUKq8tptjlz5mjdunWaO3euxowZU++9SZMmadKkSZo7d67+67/+S+edd55FVYbGkCFDdMkll9Rbd8MNN+jGG2/UkiVLdPfdd6tjx47Nbs/r9eqLL77Qa6+9pqSkJN1zzz3Kzc1VTk5OqEtHBPn666/15ptv6qOPPlJqaqp+85vfaOHChbrzzjutLg1hxu9zsauoqEh33nmnxo4d2+jfkeZiaGWUyszMVHFxcWC5uLg40GWLM9eGDRt022236f7772/0CzLOPO+9954+/fRTjR49WvPnz9fatWv15JNPWl3WSW3YsEHvvvuuRo8e3eQ1Gh8fr0ceeURutzuqwmkwbDabrrnmGvl8Pm3cuDGofTt06KDBgwerffv2SkhI0PDhwxltEQPWrVunwYMHKz09XU6nUzk5OVq/fr3VZaEV8PtcbPruu+80fvx4jRkzRpMnT25xO/TIRakhQ4bohRde0MGDB5WYmKj3339fjz32mNVlIYwKCws1efJkzZs3T4MHD7a6HLSCV155JfD9ihUrtH79es2aNcvCik7t7bffliTdfffdJ9ymS5cuevXVVxvd+/XFF19owYIFgfDTr18/TZkyRRdddFGLtvv444+1YMECbd++Xenp6br99tu1detW5efna+3atSes79tvv9W8efP0r3/9S263W71799bkyZN12WWXNftzqPuLusfjafL9W265RXv27GlUx8cff6xvvvlGU6dOVXJysj7++GPV1NToyiuvVFFRkdLT03XFFVdo2rRpatu2bbPrQWTr1auXnn32WVVUVCgxMVFr165Vv379rC4LraB///76/vvvtXPnTp199tl65513NHbsWKvLQhiVl5frjjvu0LRp03T99defVlsEuSjVsWNHTZ8+XRMmTJDb7da4ceN04YUXWl0WwmjhwoWqrq7W3LlzA+vGjx+vG2+80cKqgPrWr18vl8ul7t27n3S7hn+M+PDDD3Xvvffq3HPP1T333CPJP7T0tttu0/z583XllVcGtd1HH32kyZMn64ILLtD06dNVVFSkp59+WklJSUpOTj5hXdu2bdNNN92kDh06aOLEiXI4HHrnnXd099136/e//72ysrKa9Tl89tlnkqQ+ffo0a/s6KSkpSklJ0U033SS32624uDjt3btXEyZM0DnnnKPt27dr8eLF2rlzp/785z8H1TYi109/+lNt2bJFOTk5cjgc6tev30n/GIIzR3x8vObOnaspU6aourpaw4YN0zXXXGN1WQijN954QwcOHNArr7wS+IPtFVdcofvuuy/otgzTNM1QFwgAiE0//vGP1a1bN73xxhv11ldWVqqysrLeuri4OLVt21Yej0dXXnmlDMPQO++8o5SUFEnSkSNHNHLkSEn+AGcYRrO2czgcuuqqq2Sz2bRy5UolJCRIkv7+979r8uTJ6ty5c6AnrGHP2C233KJ9+/Zp5cqVSkpKkuTvVbv11ltVUFCgjz76SE6nUy+88IIWLFigP/3pT4FJKUzTVGFhoXJzc/WXv/xFV111lRYsWHDC4zTVI9dwff/+/TV27Fg9/PDDgW3++Mc/6pNPPtGiRYtOGkoBAGc2euQAACFjmqaa+vvg/PnzG/Ug1QWqLVu2aN++ffrNb34TCGeS1KZNG9188836/e9/r82bNysuLq5Z2yUmJuqHH37QzJkzAyFOkoYPH67u3burqqqqydoPHTqk9evX65ZbblFVVVW97a666io99dRT+vLLLzVo0KDA+qbubYiLi9PIkSP13//93834xE4uMzNT7733nvr27avhw4erTZs2mjZtGjNZAgAIcgCA0MnIyNCBAwcarb/hhhvq3WM2d+5clZeXS5J2794tSU3OYFk3tf/evXsD952daju73f9PW5cuXRptd95552nr1q1N1r5r1y5J0muvvabXXnutyW0aPgbiwQcfVK9evST574tLTk5W9+7dQ9ZT9sgjj2jatGn67W9/q4ceekgDBgzQVVddpbFjxyo1NTUkxwAARCeCHAAgZAYOHKjc3Fzt3LmzXpDq2rVrvcdltG3bNhDkTjbCv+49h8Mht9sd1HZOp7PRdid7yLLX65Uk/fKXv9Tw4cOb3Ob888+vt9ynT58WTxt9shrqDB48WB999FHg69NPP9VTTz2lV199VStWrFD79u1DdmwAQHTh8QMAgJC57rrrJEmvvvpqs/epezDqjh07Gr33/fffS/IPMWzuduecc44kqaCgoNF2Ta1rWEdcXJyGDBlS7ysjI0M1NTVKTExs9s91MjabTTU1NY3WH9+bWVNTo40bN6qsrEzZ2dl67rnn9Omnn2rGjBkqLCzUu+++G5JaAADRiSAHAAiZIUOGKCsrS0uXLtXixYub3GbVqlXavHlzYLlPnz5yuVxaunRpoJdO8k/RvGTJErlcLvXt27fZ2/Xt21edOnXSG2+8US8s/ec//9GWLVtOWHtGRob69u2r3NxcFRUVBda73W7NmjVLU6dOPeHjBILVoUMHlZSU1DvO5s2btXPnzsByaWmpbrjhBr388suBdTabLTAtvc3GP+EAEMsYWgkACKnHHntMXq9Xjz76qN58800NHz5cLpdLRUVFev/997Vt2zZ16NBBM2fOlOQfDvnQQw9p2rRpGjt2rMaNGyfJP0Xz/v37NX/+fNlsNtlstmZtJ0kzZ87UtGnTNH78eI0ePVoHDx7UokWLmhxuebzZs2fr1ltv1dixY3XjjTcqLS1N7777rjZu3Kj7779f7dq1C8lnNHLkSL3zzju66667dOONN6qkpESvvfaaunbtGhgampGRoVGjRmnJkiWqrKzUwIEDVVpaqr/85S/q0KGDrr322pDUAgCITjx+AAAQFh999JHefPNNffXVVyouLlZKSop69+6t4cOHKycnp9Ewxfz8fL344ov68ssvZbfb1b9/f91zzz36yU9+0qLtVq9erZdeekk7duxQx44dNXHiRL311ls6ePCg1qxZI6npxwB89dVXeuGFF/TFF1/I4/HovPPO04QJEzRmzJjANnWPH1i0aFGz7pFr6jiLFy/WokWLtGfPHp133nn69a9/rc8//1z/+Mc/AttVVVXpf/7nf/Tuu++qsLBQiYmJGjx4sKZPn97kZC4AgNhBkAMAnFG8Xq8OHz7c5EQgo0aNUps2bU447BMAgGjBAHsAwBnF6/Vq6NCh9R6iLUnffPONtm/frgsvvNCiygAACB3ukQMAnFGcTqeuueYavfHGGzIMQ3379tX+/fu1dOlStWvXTrfffrvVJQIAcNoYWgkAOONUVVVp4cKFWrVqlQoLC5WamqrBgwdr2rRpOvvss60uDwCA00aQAwAAAIAowz1yAAAAABBlCHIAAAAAEGUiYrKTQ4eOyueL3RGe6ekpKikpt7oMiHMRSTgXkYNzETk4F5GDcxE5OBeRg3PRMjaboXbtkoPeLyKCnM9nxnSQkxTzP38k4VxEDs5F5OBcRA7OReTgXEQOzkXk4Fy0HoZWAgAAAECUCXmQe/rppzVz5sxQNwsAAAAAqBXSIJefn6/c3NxQNgkAAAAAaCBkQa60tFTz5s3TpEmTQtUkAAAAAKAJIZvs5OGHH9b06dNVWFgYqiZjRnm1T5U+R9D7Oe2m4nyeMFQEAAAAIJKFJMi9/vrr6tSpkwYPHqwVK1YEvX96ekooyohaB8p82nEoLuj9+naOU4fUxDBUFNtcrlSrS0AtzkXk4FxEDs5F5OBcRA7OReTgXLQewzTN054j9Pbbb1dxcbHi4uJ0+PBhVVRU6Prrr9esWbOatX9JSXlMT1VqJCQrf9vRoPfrf45DiTZ3GCqKXS5XqoqLy6wuA+JcRBLOReTgXEQOzkXk4FxEDs5Fy9hsRos6tkLSI/fKK68Evl+xYoXWr1/f7BAHAAAAAAgOz5EDAAAAgCgTsslO6uTk5CgnJyfUzQIAAAAAatEjBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFGGIAcAAAAAUYYgBwAAAABRhiAHAAAAAFEmZEHu+eefV1ZWlrKzs/XKK6+EqlkAAAAAQAP2UDSyfv16ffbZZ1q1apU8Ho+ysrI0bNgwdevWLRTNAwAAAACOE5IeuYsvvliLFi2S3W5XSUmJvF6vkpKSQtE0AAAAAKCBkA2tdDgcmj9/vrKzszV48GB17NgxVE0DAAAAAI5jmKZphrLByspKTZo0SVlZWbrhhhtC2fQZ60CZT5v3eIPer2/nOHVIZb4aAAAAINaE5B657777TjU1Nerdu7cSExM1YsQIbdu2rdn7l5SUy+cLaZ6MKkZCssrKq4Ler6LCoeIqdxgqil0uV6qKi8usLgPiXEQSzkXk4FxEDs5F5OBcRA7ORcvYbIbS01OC3y8UB9+9e7dmz56tmpoa1dTU6MMPP9SgQYNC0TQAAAAAoIGQ9MgNGzZMmzZt0vXXX6+4uDiNGDFC2dnZoWgaAAAAANBASIKcJE2ZMkVTpkwJVXMAAAAAgBNgpgwAAAAAiDIEOQAAAACIMgQ5AAAAAIgyBDkAAAAAiDIEOQAAAACIMgQ5AAAAAIgyBDkAAAAAiDIEOQAAAACIMgQ5AAAAAIgyBDkAAAAAiDIEOQAAAACIMgQ5AAAAAIgyBDkAAAAAiDIEOQAAAACIMgQ5AAAAAIgyBDkAAAAAiDIEOQAAAACIMgQ5Cxytkbbtl2o8VlcCAAAAIBrZrS4gFv39G0PrvjfkiDPV0yVdeK5HNV7JGWd1ZQAAAACiAUHOAj+USh1TpE5tDX17QNq8zy3DMJSRIp2fbiqzjdUVAgAAAIhkDK1sZV6fVHhY6pouXXquT78c6NOEwQ6dm2bocKWh/J02eX1WVwkAAAAgkhHkWtn+csntM9Qhxb9sGNJZaTZ1aedT1/Y++UyprNqwtkgAAAAAEY0g18p2H/a/tk80G72X4vS/Hq5sxYIAAAAARB2CXCvbc9iQM05qE9/4vUSHZDNMHaqkRw4AAADAiRHkWtnuUqlTG8lnNu6RMwx/r1xplQWFAQAAAIgaBLlW5DOlvUekzDZSEzlOkpQc7x9aeaL3AQAAAIAg14r2l0tur6EOySfeJsVpyuOTKt2tVxcAAACA6EKQa0V7Sv2v7ZNO3N2WXDvhSSn3yQEAAAA4AYJcK9p92JAjTkptYqKTOv4gx4QnAAAAAE7MHqqGFixYoNWrV0uShg0bphkzZoSq6TPGnsP+iU7Mk9wAF2eTkhxSKY8gAAAAAHACIemRy8vL07p165Sbm6u33npLX331lT744INQNH3G8Jn+IJeZeuqJTJKd0mFmrgQAAABwAiEJci6XSzNnzpTT6ZTD4VD37t21d+/eUDR9xigul2q8hjqknHrblHhTlW7J7Ql/XQAAAACiT0iGVvbo0SPwfUFBgVavXq2lS5eGoukzxp7D/tf2iad+rkBK3YQnVYZcKTyHAAAAAEB9IbtHTpK2b9+uiRMnasaMGeratWuz90tPb0Y3VZQ7uKNajjiPzs5IkKmGE5mYSkx0BpZsDlPa59VRr13dUuJO2GZSUpw6pCaEqeLY5XKlWl0CanEuIgfnInJwLiIH5yJycC4iB+ei9YQsyG3YsEFTp07VrFmzlJ2dHdS+JSXl8vnO7J6n7YWGMlMNHT5c2egeubS0RFVW1tRb54wztP+wV2VtT/xAuYoKh4qreOBcKLlcqSouLrO6DIhzEUk4F5GDcxE5OBeRg3MROTgXLWOzGS3q2ApJkCssLNTkyZM1b948DR48OBRNnlF8prTniHThWaee6KROipOZKwEAAAA0LSRBbuHChaqurtbcuXMD68aPH68bb7wxFM1HvQNHpWqPoQ7Jzd8nOV7aXSp5ff5HEgAAAABAnZAEudmzZ2v27NmhaOqMFJjoJKn5w0dTnKZMGSqrMpQWxH4AAAAAznz09bSC3aWG7DapTXzz90mp3baU58kBAAAAaIAg1wr2HJYy20hS83vWEuySzTB1qLLhDJcAAAAAYh1BLsx8pj/IdUxt/kQnkmQY/glPDjPhCQAAAIAGCHJhVnJUqvIYyghiopM6KfHS4argAiAAAACAMx9BLszqJjpp14IJS5Kdpjw+qaLm1NsCAAAAiB0EuTDbfdhQnE1qmxD8vnUTnhyu4j45AAAAAMcQ5MKs7v64YCY6qZPkkAwx4QkAAACA+ghyYWTWTnSSGeREJ3XibFKiQyplwhMAAAAAxyHIhdHBCqnSbSgjpeVtpMQT5AAAAADUR5ALo92nMdFJnWSnqSqPVOMJUVEAAAAAoh5BLoz2HDZkM6S0Fkx0UifF6X8tZcITAAAAALUIcmFUeERypfgnLGmp5NqZKxleCQAAAKAOQS6M9h2RMlIk32k80NsZJznjTJUycyUAAACAWgS5MKl0+4dDdjiNiU7qMOEJAAAAgOMR5MJk3xH/6+ncH1cn2SmVV0te3+m3BQAAACD6EeTCpLDM/5qWcBrjKmulOE2ZksqqGV4JAAAAgCAXNvuOGIq3S4mO0w9yybUzVx5meCUAAAAAEeTCZl+Z1DFVpzFf5TGJDslmmDrEIwgAAAAAiCAXFqZ57NEDZgiSnGH4e+XokQMAAAAgEeTC4nCVVOUxlJ4UujaTnf52QxEMAQAAAEQ3glwYFNbOWNk2BBOd1El2mnJ7pWpPyJoEAAAAEKUIcmGwr27GysTQtZlSO+FJKffJAQAAADGPIBcG+44YapMgOeNC2CMX738trSTIAQAAALGOIBcGhbUzVobyAd52m5RgN1XKhCcAAABAzCPIhZjXJ+0vlzokh77tuglPAAAAAMQ2glyIHTgqeX2G2odwxso6yU6pvDq0PX0AAAAAog9BLsQCM1Ymhv45AclOf5tlTHgCAAAAxDSCXIjtKzNkM6S28aFvO6VuwhOGVwIAAAAxjSAXYoVHpPRkyVDoe+QS7JLNMJm5EgAAAIhxIQ1y5eXlGjlypHbv3h3KZqPKvtoZK32hz3EyDCY8AQAAABDCILdx40bdeOONKigoCFWTUafKIx2sMJQehhkr69QFOTMMQREAAABAdAhZkFu+fLnmzJmjjIyMUDUZdYrK/K/tEsN3jBSnKbdXqnKH7xgAAAAAIps9VA098cQToWoqau2rm7EyPnzdZcl1E55Uc58cAAAAEKtCFuROR3p6itUlhETpd9WKt3t0litBPgUTtEwlJjqbtaXDaUp7varw2JWU5FSH1ISWFYsTcrlSrS4BtTgXkYNzETk4F5GDcxE5OBeRg3PReiIiyJWUlMsXjtlBWtn3RYZcKYZKD1cGdQ9bWlqiKitrmr19gt1Q8RGvKipqVMwYy5ByuVJVXFxmdRkQ5yKScC4iB+cicnAuIgfnInJwLlrGZjNa1LHF4wdCxDT9jx5wpYR/IpJkp3S4MrzHAAAAABC5IqJH7kxQVi1VuA2lJ4X/WMlOqaRCqvGaSoySKO612VXjCf6+PqfdVJzPE4aKAAAAgOgV8iC3du3aUDcZFQprJzpJSwz/ENGUeFOSoeJyqW27sB8uJGo8hjbuCn4YaP9zHFETVgEAAIDWwq/IIbKvdjhwWhgfPVAnuXZelH1Hov++QgAAAADBI8iFSOERQ6nxUnxc+MNVgl2KM0wVHg77oQAAAABEIIJciOwrkzJSJa8v/McyDH+v3L4yeuQAAACAWESQCwGfKRWVSa7k1jtmslMqOhL+GTIBAAAARB6CXAgcOCp5fIbat8KMlXWS401Ve6TSqtY7JgAAAIDIQJALgX21M1a2bYUZK+uk1E14Uhb8lP4AAAAAohtBLgT2HDZkSEqLb71jJtUGuT2lBDkAAAAg1hDkQmBLkdSlvSSj9Xrk7DapbaK0h5krAQAAgJhDkDtNxeX+4Y0XuFp/4hFXirT3SOseEwAAAID1CHKn6ctC/+s5aa0/feRZbQ0drPBPtnImqfZIR2usrgIAAACIXAS507R5n6Gz01rnQeANXZBhSDL1771nxn1ypin9cEj62zZD728zGDYKAAAAnABB7jQcqpB2lfqHVfoseJ5baoKhs9pI/7fLiPrnyVW6pfwCQ5/vsik13lBqvKHPdtqUt8MX9T8bAAAAEGp2qwuIZpv3+V+tGFZZ5/wOpv65w9DeI1LntpaV0WKmKf1QKm3ca8jrk3p3lDJSTHm8pr4pNrRmq1ReZWhUH1O2M6PjEQAAADht9Midhi8LDWWmSilO64Jct/aSzTD1f3uiL+VUuaW8AkNf1PbCXdrVUEayT6ZpKs4m9cowNehcQ+u+N7ToC0M1HqsrBgAAACIDQa6FyqqlgoNSzwzJ67OujgSHdE6a9J89hiXDO1vK55M+/d5Qcbn0o45Sv06m7IZPx/8IhiENPd+my7r5tGWfoZfyDR2psqxkAAAAIGIQ5Fpoc6FkytC5Fg6rrNOjg6kjVVLBwejpldu631BplaELOxty1fbCnUifjtI1vXwqOmLo5fzw9syVV/tU6XMEzuXZ7wAAIABJREFU/eW1MUoZAAAArYffPlto8z5D6UlSarxpeU9Yl3aSw2bq/3Yb6pZufbA8lZKj0tf7/T2JbZz1e+FOpEs76eqePr2z1ab3vpau7xuen7OqRtq4yx30fv3PcSiRP4sAAACglfCrZwtU1EjfHpB6dbRmtsqGHHFS1/bSpkLJY+Ewz+bw+KQvdhlKdBg6r73ZrBBX5+w06cJOpj793tA3xWErEQAAAIh4BLkW2FIk+UxDXdpFQIqrdX4HU5Vu6ZviyB5e+WWhofIaQ30zJQUV4/wuPsdUu0RTy/5jUwUPDQcAAECMIsi1wJeFhtomSGkJkRPkzm4rJdj9wysjVVGZtKPEULd0KcnRsq5De5z0s/NNlVVLb22O3J8VAAAACCeCXJCqPdI3xZEzrLJOnE3qli5t2eevMdJUuk1t2G0oNV46u21wQyobykiRBp3t07/3GNpUGLISg2Ka/scnRPpQVgAAAJyZmOwkSF/vlzw+Q13bW11JYz06mNpSZGhLkaGBnSMoZUp6d7OpKrd0SRepJUMqGxp4lvTDIVNvbLSpazuf2iScdpMntL9cKiozVFEjVbprvzySaRqy20x1T5fO72gqMYw1AAAAAMejRy5IXxYaSnFK6UmRFZQk+R9OHu/v+Yok/94jbdprqofLUHxcaLqw4mz+IZZur/T6RkMneXpBi1V7pM9/MPTJDpu+PWDoUKUhGYbaJRk6r72hXh2l9GRD24oN/WGtT29/Ffxz7rw2O487AAAAQND4bTAIbq/0dZHU9yzJF0njKmsZhnR+un/2yqPVUnK81RVJ2/ZLy/5j6Jx2UmYbM6SBq12idMm5Pn1aYNO/fjB1aZfQtGua0u7D0sY9hmq8Ug+X1CnVlKHGQ0IzkqVz2kqV3jh9skPKK/D3Ol7e3VRa4qmPVeMxeNwBAAAAgkaQC8K2Yqnaa+i8CBxWWef8Dqb+s9fQpn2GBnexNmx+d0B69XNDGSmGru9v08YfQn/zXt9MaechUys22eT1+fRf551ee6UVPuUVGNpXZqhdojSwoxRv8z/r7kSfZpJTuqyrTf0z3dpYaCi/wFB+gdT/LGloN1Nnp7WslhqPv1fQMCRbgy9fOLogAQAAEDUIcs20v0zK3WSoTYKUkWz9Q8BPJD1Japdoav1OQxefYyrOol6bgoPSn9cbSk82NLqvKbstPMM9DUMa0dPUR99Kb222aX+5qev6BP9ze3xSfoH0t23V8nilH3WUXCmmTLP5E7O0SZAuO8/UwLP89ypu3mfo33v8D2kf2s1U747+ENYU05SO1vgfln6gwlDJUams+sSf2eqvferc1lDntlLntqY6t/VPAtOcn9trs6vGE/z5cNpNxfkicCYdAACAGESQa4Z9ZdLLef77o35+YWT3hhiG/6HZH+8w9Mp6QzcPMpXgaN0adpVKC/9lqE2CP8SF5Qa24zjjpKsuMPX5LimvwNCBo9LNg0wlNuPnNk3pq33Su1sNHThqqEeGTR2TvbIZvhaXnRIvXXyuqf5nmdp+wNCXhYZe/dxQh2RTPVyS1yfVeCW3R6ryelVaYai8RqquDVcOm9QuSerURnLaJdNnyif/fYCm/LOltkk0tP+I9K8fJLfXv5/d5h/O6Yyr/bIf+96Uv3evyiNVun06UmXK45Vk+I/niPM/2qHue0fgezOw3DPTrmS7ZMgfSA3D/71hSHabFG8/dlw7wz4BAADCiiB3CnuPSP+Tb8hmGBo3wD/MLtL17igZhk8f77DpxTzpjotNtW3G/VqhsPeI9L+fGUpyGhrTz5QtBDNUNofNkC4511RagqmPd9i0YJ10+8WmOiSfeJ/dpdLbXxnacdBQRor08wFS90525W0LTa9TvF3qm2nqRx1N7TxU20O32x+KnLXhKC5OMgxDHZKltglSarypBIc/sdX/5OovDerqUGWlW6b8PXclFVJJhX9mTY9XcvukCrdUWuUPjDKkBLu/ppR4IxC+TNPfG+nx+fercvvvBXX7/IHTH9X8PtvpU3PnR7IZ/kAXb5cSHVKSw6x9lRIcUnycP3ja4/x11H3F2Y6FxHaVHpUdqT+ktOEw04bh0xnXvF5JAACAaEeQO4k9h/0hzhFnaGx/yRkFIa5Orwwp2enTB9/Y9MI66Y5LTHVqE95j/nDIP5zSGWco50Ipzmj9nsueGVKbeJ/+tt2mFz4xlNXbp0RHbe+RURtDDGnjXkP/t9tQslO6trd0XnuzdgKb0A8BtRn+9s9rbwaGVpq1/5OQ6NCGgvqTnQTTE2hIahNvqk28dF67pnc06v6nNhwmNnHMRtvX1uE1JY9pyOeTemTatWWP51ikrG2vrpfQZxrymf4A6PX513l8UkqCocoaqbi8rkfQHxZP/VlXqyUT69oM87gexfrBObDe7n911vZE2m2SYbPJNCWb7VhQjDPqLx/7MgLr4+2m7PIe26fB9o2WG7QZZzvWswkAANBcIQtyb7/9tl566SV5PB7deuut+uUvfxmqpi2xq9TfsxRv94c4hxE9Ia7OOWnSdX18WrPNpj99amjCT3y6wBXaY9R4pP/slT7baWhXqf+B32P7S3YLP69ObaUxfXz62zc2vbGp6SBgt0k/7ebvMZNpytdK5Vpxb6UZ+J8gtpek2tARJ1OKkzq3s2l3yckaavq9S86P17++ra5rst7WPtUGQJ8CQ0frXgd0daqy0itf7ehc33FDS+tevT5TXp//2Y51PZGmaaraXbf+WA+lp7aX0u09ts7t9X95fWpiTtJmfUq1Tr8b0GaY9YLe8b2UJ3tt8j1DsseZ/lebP6zWfX98sDSOe60bMhtYPm7dUcOr0sPHba8G+zdcPkV7hFYAAE5fSIJcUVGR5s2bpxUrVsjpdGr8+PG65JJLdP7554ei+VZXVObviUty+nuWrAwlp6tDsnR9H5/WbDO08F82XdPLp+7p/okxTufeucIj/vD2f7ulKo9/aOKIXlLXNFM2C3riGmqbKI3t59NRt/83xrqAUNeLlBIvOW2hfRwCTq2p+GMz/EGxIVeKTZ/uqQ6qfUPSTy+IV1XNif+bbZQhalc44qT8b93+IGn4H/h+fLiUGoRN0x9Ee3eya8teT6PtfJIMU/I/uOK4fY/bv3M7mzw+/323Zm2Ppu+43kyfT/LUrgsEU9NUjftYz2fdem/tPl6v/3ufGcq0VKVQPnbUkFmvl/xUAbBhWDzhuuZsc9z644/b5DqdaD/z1MFVjdtuVFsTP3/DOhrej1oV59PhshPUf6LPr4nPmDANANEvJEEuLy9Pl156qdLS/POsX3311VqzZo3uvffeZu1vC9OMhi1V5ZV6Z9r0X92kOP+vY2E9niPOP/ws6P3shnyOU+8X75B+3l/K2ymt3xWn9bv861PjTaUnSR1SpDYJpv8fdx0bimdIcptSRbWh8mr/rIpHa6TyGqnSbSjOZuonXQz1cElt44+fHKRxTQ67Edaf8USSTvosvSbqDPO5aGq/1v5cWnzMln42LdzP3sL9DEPati/4+xwHdHG26HhdOth06OjJtjjxXwsGdInTf3bWBH3MQec5Ve02T/r/TKbMQACsC4hGnKGvdnvqBc66CusCrI5bV7d4fke7qt1mbe+oGdjXPG4SnuMDat33cbbaYbTHrffVzgTb8I8rdeFXpv++UU9t12tgvybaP76ntm5ZknwyAz25x4du05RM33HLtcer6yn31bVXW1dgHx07lvWq1ORfPoJm1g+ZOq7ntIlQGQiEOhYCj/+34tiKxv+O6CT7GA32O/71+P1Otb7JYGo02OdE6xsc/2THPV58fLVqamxN7hvsz3D8m4ZOUuup1jfY5lTHbfz5m/W2aeo81Sv5pG0d+745P8Op6j3Zz5Bc7tbRo0bj4zSzvpMdF8EprPaovCwyPry6/0/31t72UffH0U6p0rntrK6uvpZmIcM0zdP+p+nll19WRUWFpk+fLkl6/fXXtWnTJj322GOn2zQAAAAAoIGQjJXx+XwyjvvThWma9ZYBAAAAAKETkiCXmZmp4uLiwHJxcbEyMjJC0TQAAAAAoIGQBLkhQ4YoPz9fBw8eVGVlpd5//30NHTo0FE0DAAAAABoIyWQnHTt21PTp0zVhwgS53W6NGzdOF154YSiaBgAAAAA0EJLJTgAAAAAArSd0DwYCAAAAALQKghwAAAAARBmCHAAAAABEGYIcAAAAAEQZgpyF3n77bWVlZWnEiBFavHix1eXEvPLyco0cOVK7d++2upSYtmDBAmVnZys7O1vPPPOM1eXEtOeff15ZWVnKzs7WK6+8YnU5kPT0009r5syZVpcR02655RZlZ2dr9OjRGj16tDZu3Gh1STFr7dq1ysnJ0bXXXqvHH3/c6nJi2uuvvx74b2L06NEaNGiQHn30UavLOuOF5PEDCF5RUZHmzZunFStWyOl0avz48brkkkt0/vnnW11aTNq4caNmz56tgoICq0uJaXl5eVq3bp1yc3NlGIbuvPNOffDBB7rqqqusLi3mrF+/Xp999plWrVolj8ejrKwsDRs2TN26dbO6tJiVn5+v3NxcXX755VaXErNM01RBQYE++ugj2e38CmWlXbt2ac6cOXr99deVnp6uW2+9VR9//LGGDRtmdWkx6ec//7l+/vOfS5K2b9+uyZMn695777W4qjMfPXIWycvL06WXXqq0tDQlJSXp6quv1po1a6wuK2YtX75cc+bMUUZGhtWlxDSXy6WZM2fK6XTK4XCoe/fu2rt3r9VlxaSLL75YixYtkt1uV0lJibxer5KSkqwuK2aVlpZq3rx5mjRpktWlxLQdO3ZIkn71q1/puuuu01/+8heLK4pdH3zwgbKyspSZmSmHw6F58+apf//+VpcFSY888oimT5+u9u3bW13KGY8gZ5H9+/fL5XIFljMyMlRUVGRhRbHtiSee0E9+8hOry4h5PXr00IABAyRJBQUFWr16NX9dtZDD4dD8+fOVnZ2twYMHq2PHjmE5zsyZM9WzZ8+TDmuu2yZYL7zwwinbPl1NHaNnz5665ZZbQnaMhx9+WNOnT1ebNm1C1iaCd+TIEQ0ePFh/+tOf9Oqrr+qvf/2rPv30U6vLikk7d+6U1+vVpEmTNHr0aC1ZskRt27a1uqyYl5eXp6qqKl177bVWlxITCHIW8fl8MgwjsGyaZr1lIJZt375dv/rVrzRjxgx17drV6nJi2tSpU5Wfn6/CwkItX77csjpuuOGGmL1n8vXXX1enTp00ePBgq0uJeQMHDtQzzzyj1NRUtW/fXuPGjdPHH39sdVkxyev1Kj8/X08++aSWLVumTZs2KTc31+qyYt5f//pX3X777VaXETMIchbJzMxUcXFxYLm4uJhhfYCkDRs26LbbbtP999+vMWPGWF1OzPruu++0detWSVJiYqJGjBihbdu2WVbPwIEDNXr0aMuOb6X33ntPn376qUaPHq358+dr7dq1evLJJ60uKyZ98cUXys/PDyybpsm9chbp0KGDBg8erPbt2yshIUHDhw/Xpk2brC4rptXU1Ojzzz/XFVdcYXUpMYMgZ5EhQ4YoPz9fBw8eVGVlpd5//30NHTrU6rIASxUWFmry5Ml67rnnlJ2dbXU5MW337t2aPXu2ampqVFNTow8//FCDBg2yuqyY9Morr+idd97RypUrNXXqVF1xxRWaNWuW1WXFpLKyMj3zzDOqrq5WeXm5cnNzmYzJIj/72c+0bt06HTlyRF6vV5988on69OljdVkxbdu2beratSv3U7cigpxFOnbsqOnTp2vChAm6/vrrNXLkSF144YVWlwVYauHChaqurtbcuXMDUxgvXbrU6rJi0rBhw3T55Zfr+uuv19ixYzVw4EBLw3XDe+Rmzpypa665Rps2bdLNN9+s/v37a8iQIXr88cdVVVV10rYeeeQR9ezZU6+++mpg3eHDh/XYY4/psssuU9++fXXttdfq//2//yfTNOvt+8MPP2jKlCm66KKLdMkll2jevHmNtmnKCy+8oH79+qmgoEATJ07UwIEDddFFF+nBBx/UoUOHgvswYJmf/exnGjZsWOC/i7r/NtD6+vfvrzvvvFM33XSTsrKydNZZZ2ns2LFWlxXTdu3apczMTKvLiCmMB7DQqFGjNGrUKKvLwHHWrl1rdQkxbfbs2Zo9e7bVZaDWlClTNGXKFKvLOKGDBw/qjjvu0LXXXqvrrrtO//znP/Xaa6/J6XRqxowZTe7zxz/+UUuXLtX06dN12223SZIqKip08803q7CwUDfddJMyMzP12Wef6cknn1RBQYHmzJkjSTpw4IDGjx8vt9utW2+9VQkJCVqyZImOHDnSrHp9Pp8mTJign/zkJ3rwwQf15Zdf6o033lBVVZWef/75ZrWRk5OjnJycZm2L8Jg2bZqmTZtmdRmQNG7cOI0bN87qMlArKytLWVlZVpcRUwhyAICodPjwYc2ePTswO+QvfvELZWVl6e23324yyC1atEgvvfSSJk2aVG8a/4ULF+r777/Xm2++Gej1u+mmm/SHP/xBL7/8sm644Qb16tVLCxcu1MGDB/Xmm28GhnCNGTNGI0eObFa9dc/jq3ug9/jx41VUVKS///3vqqysVGJi4ml9HgCA2MLQSgBA1Go4xXWvXr1UUlLSaLtVq1bpySefVE5OjqZPn17vvffff18XXHCBXC6XDh48GPgaPny4JOmjjz6SJP3zn/9Uv3796t2Hk56eHtSQ04b19u7dWx6PR6Wlpc1uAwAAiR45AEAUa/jAWafTKa/X22i7559/XjabTZs2bZLb7ZbD4Qi898MPP6iqquqE0/sXFhZKkvbs2aMrr7yy0fvdunU7rXolNVkzAAAnQ5ADAEQtm615A0uuu+46XXTRRXrooYe0cOHCekMrvV6vBg0apHvvvbfJfeseDWMYhqqrqxu935zJTurwvFAAQKgQ5AAAZ7z77rtPnTt31ooVK/TSSy8pOztb55xzjiSpc+fOOnr0qIYMGVJvn8OHDys/P19dunSRJJ199tkqKCho1PauXbvCXj8AAA1xjxwAICYYhqGHH35YbrdbjzzySGD9FVdcoa+//lr/+Mc/6m3/0ksv6b777tP27dslSSNGjND27dv1z3/+M7BNWVmZVq5c2RrlAwBQDz1yAICIMG/ePCUnJzda33CCkNPxox/9SOPHj9fixYv17rvvKjs7WxMnTtT777+ve++9V+PHj1ePHj20YcMGrVy5UkOHDtXQoUMlSbfffrtWrVqlKVOm6NZbb1X79u21bNmyoIZWAgAQKgQ5AEBEeOedd5pcH8xkIs0xbdo0rVmzRk899ZQuu+wypaWladmyZZo/f77WrFmjZcuW6ayzztKvf/1r3X333YH78FJSUrRkyRI9++yzWrZsmbxer7KystSjRw89/vjjIa0RAIBTMUz+lAgAAAAAUYV75AAAAAAgyhDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDKRMTjBw4dOiqfj8kzj5eenqKSknKry0AM4tqDVbj2YCWuP1iFaw82m6F27Ro/R/VUIiLI+XwmQa4JfCawCtcerMK1Bytx/cEqXHtoCYZWAgAAAECUIcgBAAAAQJQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJSJiFkr0Zi7wqc4tyPo/Qy7KY/hCUNFAAAAACIFQS5CeWukkm3uoPdL7+mQgs9/AAAAAKIIQysBAAAAIMoQ5AAAAAAgyhDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDKEOQAAAAAIMo0K8g9//zzysrKUnZ2tl555ZVG72/dulU5OTm6+uqr9bvf/U4eDw+kBgAAAIBwOWWQW79+vT777DOtWrVKb775pl577TXt2LGj3jYPPPCAHn74Yf3tb3+TaZpavnx52AoGAAAAgFh3yiB38cUXa9GiRbLb7SopKZHX61VSUlLg/T179qiqqkoDBgyQJOXk5GjNmjXhqxgAAAAAYpy9ORs5HA7Nnz9ff/7zn3XNNdeoY8eOgff2798vl8sVWHa5XCoqKgqqiPT0lKC2jwVVpT6lpiYEvV9SUpwS0oLfDziey5VqdQmIUVx7sBLXH6zCtYeWaFaQk6SpU6fqrrvu0qRJk7R8+XLdcMMNkiSfzyfDMALbmaZZb7k5SkrK5fOZQe1zpkt1JKusrCro/ZwVDpW53WGoCLHC5UpVcXGZ1WUgBnHtwUpcf7AK1x5sNqNFHVunHFr53XffaevWrZKkxMREjRgxQtu2bQu8n5mZqeLi4sDygQMHlJGREXQhAAAAAIDmOWWQ2717t2bPnq2amhrV1NToww8/1KBBgwLvd+7cWfHx8dqwYYMkaeXKlRo6dGj4KgYAAACAGHfKIDds2DBdfvnluv766zV27FgNHDhQ2dnZuuuuu/Tll19Kkp577jk99dRTuuaaa1RRUaEJEyaEvXAAAAAAiFWGaZqW35zGPXKNpTqStevfR4PeL72nQ14H98ih5RirD6tw7cFKXH+wCtcewnaPHAAAAAAgshDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDKEOQAAAAAIMoQ5AAAAAAgyhDkAAAAACDK2Juz0YIFC7R69WpJ0rBhwzRjxoxG77/55ptq06aNJOkXv/iFfvnLX4a4VAAAAACA1Iwgl5eXp3Xr1ik3N1eGYejOO+/UBx98oKuuuiqwzebNm/WHP/xBAwcODGuxAAAAAIBmBDmXy6WZM2fK6XRKkrp37669e/fW22bz5s16+eWXtWfPHl100UV68MEHFR8fH56KAQAAACDGnfIeuR49emjAgAGSpIKCAq1evVrDhg0LvH/06FH17t1bDzzwgHJzc3XkyBG9+OKL4asYAAAAAGKcYZqm2ZwNt2/frokTJ2rKlCkaM2bMCbfbsmWLZs2apbfeeitkRcaiqlKfSr/1Br1f2vlxSkhjDhsAAADgTNasyU42bNigqVOnatasWcrOzq733t69e5WXl6dx48ZJkkzTlN3erGYDSkrK5fM1K0/GjFRHssrKqoLez1nhUJnbHYaKECtcrlQVF5dZXQZiENcerMT1B6tw7cFmM5SenhL8fqfaoLCwUJMnT9Zzzz3XKMRJUkJCgp599lnt2rVLpmlq8eLF9SZCAQAAAACE1im7zhYuXKjq6mrNnTs3sG78+PFau3atpk6dqn79+unRRx/VPffcI7fbrR//+Me6/fbbw1o0AAAAAMSyZt8jF04MrWws1ZGsXf8+GvR+6T0d8joYWomWY4gHrMK1Bytx/cEqXHsI29BKAAAAAEBkIcgBAAAAQJQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJQhyAEAAABAlCHIAQAAAECUIcgBAAAAQJQhyAEAAABAlGlWkFuwYIGys7OVnZ2tZ555ptH7W7duVU5Ojq6++mr97ne/k8fjCXmhAAAAAAC/Uwa5vLw8rVu3Trm5uXrrrbf01Vdf6YMPPqi3zQMPPKCHH35Yf/vb32SappYvXx62ggEAAAAg1p0yyLlcLs2cOVNOp1MOh0Pdu3fX3r17A+/v2bNHVVVVGjBggCQpJydHa9asCV/FAAAAABDj7KfaoEePHoHvCwoKtHr1ai1dujSwbv/+/XK5XIFll8uloqKioIpIT08JavtYUFXqU2pqQtD7JSXFKSEt+P2A47lcqVaXgBjFtQcrcf3BKlx7aIlTBrk627dv18SJEzVjxgx17do1sN7n88kwjMCyaZr1lpujpKRcPp8Z1D5nulRHssrKqoLez1nhUJnbHYaKECtcrlQVF5dZXQZiENcerMT1B6tw7cFmM1rUsdWsyU42bNig2267Tffff7/GjBlT773MzEwVFxcHlg8cOKCMjIygCwEAAAAANM8pg1xhYaEmT56s5557TtnZ2Y3e79y5s+Lj47VhwwZJ0sqVKzV06NDQVwoAAAAAkNSMoZULFy5UdXW15s6dG1g3fvx4rV27VlOnTlW/fv303HPPafbs2SovL1efPn00YcKEsBYNAAAAALHMME3T8pvTuEeusVRHsnb9+2jQ+6X3dMjr4B45tBxj9WEVrj1YiesPVuHaQ1jvkQMAAAAARA6CHAAAAABEGYIcAAAAAEQZghwAAAAARBmCHAAAAABEGYIcAAAAAEQZghwAAAAARBmCXASpLJSK8wyZXqsrAQAAABDJ7FYXgGOK8wxVFRpyH5FSs3lAOgAAAICm0SMXIdxHpKpCQ/HpUvm3hn740C2TLAcAAACgCQS5CHHkG/+ra4ipNj1NHdjs1dEdBmEOAAAAQCMMrYwApimVbTOU2EkyHKZSe0l2W5wObvXJsJtK7mJ1hQAAAAAiCT1yEaC6WKo5ZCilq2T6JMOQOl1il7OdqaPf21Sx2+oKAQAAAEQSeuQiwJFthgybqfiOx9YZhqHEc02ZPqn8W5sMu0+JmdbVCAAAACByNLtHrry8XCNHjtTu3Y27hxYsWKCf/exnGj16tEaPHq3FixeHtMgzmemTyrZLyecaklH/hjjDkJK6mLKnmCr/xibTZ1GRAAAAACJKs3rkNm7cqNmzZ6ugoKDJ9zdv3qw//OEPGjhwYChriwkVuyVvhaHkcyU1MbGJYZOcHUxVFBjylBlytGX2EwAAACDWNatHbvny5ZozZ44yMjKafH/z5s16+eWXNWrUKD366KOqrq4OaZFnsiPbDNmckjP9xAHNnuJ/dR9qpaIAAAAARLRm9cg98cQTJ3zv6NGj6t27tx544AF16dJFM2fO1Isvvqjp06c3u4j09JRmb3sm8daY+vb7CrXvGae2bR0N3jWVlOgMLFUkeeQpsyk1teF29SUlxSlOuuAEAAAZGElEQVQhLSEM1SKWuFypVpeAGMW1Bytx/cEqXHtoidOe7CQ5OVn/+7//G1j+1a9+pVmzZgUV5EpKyuXzxd6QwSPbJF+NTfaOXpWWuuu9l9YuURWVNYFlW5KhqoPSkcNVMk7Sj+qscKjM7T7xBsApuFypKi4us7oMxCCuPViJ6w9W4dqDzWa0qGPrtB8/sHfvXr3xxhuBZdM0ZbczGWZzlH1jyJ4iOdqcehYTe4op+SRPmdEKlQEAAACIZKcd5BISEvTss89q165dMk1Tixcv1lVXXRWK2s5ongrp/7d3r7FxVXe/x79rz9VjO3HsjGMIfUqT9CkoTUg5fUQSeoKoWhwSetK6eRGolBbUVKBWVFGVCoUKVMSltKiREKJCCPVFFSTSlpCmp02DTnr6EJznIHKqJiEJhfZAIRdf4jh27LE9M3udF9szHo+vY894257fR4pm9mXt/bczBv+y1tqr519QvYxJPY0yO0+us7R1iYiIiIjI7DflILdjxw5OnjxJbW0tjz32GA888AAbN27EWsu9995bzBrnpe73AGuILZ3ckFInCIGoZaBTPXIiIiIiIuWuoDGQR44cyb7PnRfX2NhIY2Nj8aoqA91/N0TqwKmwk14fLlAFAx1eD9548+RERERERGR+UxzwwUAn9LUYqj81uWGVGdl5clfVKyciIiIiUs4U5HzQ/R6AJXpNYU/q1HpyIiIiIiICCnK+SJw3ROoMJlRYkHOC4GienIiIiIhI2VOQm2HWhb6LEI0XNqwyI1gFA1em1lZEREREROYHBbkZNtABbtIQqZ1ae82TExERERERBbkZlrjovQZrChtWmaF5ciIiIiIioiA3w/ouGgJRb024qdA8ORERERERUZCbYYmLEF0yvTluwSpIap6ciIiIiEjZUpCbQek+SHYaIound51glbeIuObJiYiIiIiUJwW5GZSZHxee4vy4jGCl95rsnGZBIiIiIiIyJynIzaC+iwYMBKundx0nNDhP7rJ65EREREREypGC3AxKXIRIHRgzvR45GJwn16V5ciIiIiIi5UhBboZYF/paIFoPdvo5zpsnl4a05smJiIiIiJQdBbkZMtABNmmILCrO9TLz5AY0T05EREREpOxMOshdvXqVu+66i48//njEsTNnztDU1ERjYyMPP/wwqVSqqEXOB9mFwBcWoTuOnHlyWk9ORERERKTsTCrI/e1vf+Puu+/mgw8+GPX4rl27eOSRR/jTn/6EtZZ9+/YVs8Z5oe+CIVAx9YXARxOs1HpyIiIiIiLlaFJBbt++fTz66KPU19ePOHbu3Dn6+vpYs2YNAE1NTRw6dKi4Vc4DiYtQMc2FwPNl58n1qldORERERKScBCdz0hNPPDHmsdbWVuLxeHY7Ho/T0tIy/crmkVQCklcMC1YU97q568kFq4p7bRERERERmb0mFeTG47ouxgz1CFlrh21PRl3d/E4hHe+mgH5qloapqJnstERLrCI8/ikV0BNJke52qK4OARCLBYjWRKdVr0g8Ps3FDkWmSJ898ZM+f+IXffZkKqYd5BoaGmhra8tut7e3jzoEczyXLl3FdYs3d2y2aX/XgGPoD/TT3zm5r7NmUQW9iYEJzwtUGhKXoKurD2Mg3BuiO5mcbslSxuLxatrauv0uQ8qQPnviJ33+xC/67InjmCl1bE17+YGlS5cSiUQ4fvw4AAcOHGDDhg3Tvey8krgI0TowFD+sBiotNgVuouiXFhERERGRWWrKQW7Hjh2cPHkSgGeeeYannnqKjRs30tvby/bt24tW4FyXXQg8XpyFwPNl5sZpGQIRERERkfJR0NDKI0eOZN+/+OKL2fc33HADv/nNb4pX1TzS3w42ZQjXlub6ThhM0JLsNFRcO3+Hp4qIiIiIyJBpD62U8fUNLgQeKtJC4PmM8XrlBjpL0+MnIiIiIiKzj4JciSUuGgIxMJHSpaxgpcUdANtfsluIiIiIiMgsoiBXYn0XoaIeKOJC4Pmy8+SuaJ6ciIiIiEg5UJAroVQvJLsMkcWlvY8TBROwDFxWkBMRERERKQcKciWUmR8Xrint5DVjIFAJySslvY2IiIiIiMwSCnIllLhgwIFgdenvFayypBOQ7tUTT0RERERE5jsFuRLq+RBiDWBLsBB4vmCl99p7seS3EhERERERnynIlUiyGwY6DBXXwgzkOAIxwLH0nlePnIiIiIjIfKcgVyI9//JeI/GZCVbGQDAGPRcU5ERERERE5jsFuRLp/dAQrIJAxcwFq2CVpb8D0lpPTkRERERkXlOQKwGbhp6PoPI6sCVcPy5fYHCeXP9FLUMgIiIiIjKfKciVQOIC2KShYsnM3jdYCTjQe05BTkRERERkPlOQK4GeD71lB0IlXj8un3EgWgu952b0tiIiIiIiMsMU5Eogu+yAM/MPHonGDX2t4CZn/NYiIiIiIjJDJhXkDh48yKZNm7jjjjvYu3fviOPPPfcct99+O1u2bGHLli2jnlMuZnrZgXwV9QYs9LVoeKWIiIiIyHwVnOiElpYW9uzZw6uvvko4HGbbtm3ccsstrFixInvOqVOn+PnPf87nPve5khY7F8z0sgP5oosBLIlzhth1WopARERERGQ+mrBHrrm5mbVr11JTU0MsFqOxsZFDhw4NO+fUqVO88MILfOUrX+Gxxx6jv798n3/vx7IDuQJhQ2ghJM77cnsREREREZkBEwa51tZW4vF4dru+vp6Wlpbsdk9PDzfeeCO7du1i//79dHV18fzzz5em2lnOpqHXh2UH8kUWQ+IipPv8q0FEREREREpnwqGVrutizNB8K2vtsO3KykpefPHF7PZ9993H7t272blz56SLqKurmvS5s9mV/5fGTfax6PoQVTWBaV7NEqsIF9wqGg2wZGWAf/xjAPfjCA3rCr9GIZK9LumBwtsFwhCK6Vk7s1U8Xu13CVKm9NkTP+nzJ37RZ0+mYsIg19DQwNtvv53dbmtro76+Prt9/vx5mpub2bp1K+AFvWBwwssOc+nSVVx37s/navubAceQjgzQ2Tm9r6dmUQW9icITUqwvRL+TJFRjOP9WkuDyfkwJn3sSSIa49G7hj8is+0yIdI8erTkbxePVtLV1+12GlCF99sRP+vyJX/TZE8cxU+rYmrBLZP369Rw7doyOjg4SiQSHDx9mw4YN2ePRaJSf/exnfPTRR1hr2bt3L1/+8pcLLmQ+8HPZgXyV11v6O6C/1e9KRERERESk2CYMckuWLGHnzp1s376dr371q9x1112sXr2aHTt2cPLkSWpra3nsscd44IEH2LhxI9Za7r333pmofVbxe9mBfLGlYIKWK+9o+KKIiIiIyHxjrLW+x475MLSy8x1o/bPDtRstTnT6X0vNogo+/mui4HaLbwzRl/CGLHb81ZA4Z1h+n4tToqly0xpaGdLQytlIQzzEL/rsiZ/0+RO/6LMnJRtaKZOTXXYgNnsCaeUnLTYF3e9pcXARERERkflEQa4IZsuyA/nCiyC0wHLllIKciIiIiMh8oiBXBIkL4CYNFUv8rmQ4YyD2SUtfG/S3+12NiIiIiIgUi4JcEXS9a8CB0KLZM6wyo/ITgGO58o565URERERE5gsFuWnqa4OuM7BoJVgz+4KcE/aeYNn1rsHVs0VEREREROYFBblpsBba3jAEooaq5XZWLDswmti/WdwB6PmnP71ybspbniH3T6LN0tcKqR5fShIRERERmdOCfhcwl119HxLnDfXrwc7WFAdEFkOwytJ5ylD9mZmr06ah9xz0/stgU8ND5OXjLuCAY1nw77DoZkukdsZKExERERGZ0xTkpshNQtubhshiiDTYWfW0ynzGeEsRXHnH0N9ByQOTTXsPgOn50GCThvAiiNRBbpdl9XUBUuk0fa3e8ghdZw1Vyyy1/80SLfJDY4I2OCJIToYJWlImVdxiRERERESKQEFuii7/FVJXB3vj5sBi5rFPwJXTlu7ThsgXSlOvdaHvIvR8YHAHDKGF3vw8J+KSv+x87BpDX8ISroPKZZbeDwzd/zBc/ach9m+W2pstFUu9EDrtulJmyouWE5r+/UVEREREik1BbgqS3dDxfw3VyyBQ5c7q3riMQBQqroHL7xgqV1gqGop7/WQXdJ01pHsNoQVQvQycCi/A5Ye4EbVFoPoz1gt0/zJ0v2/4+DVDtMHroau8vjiBTkRERERkvlCQm4L2ZgMWFn52dg+pzLfws5ZkM5w74LD0f7hUXDP9a7opy9V/GHo/AidiWPAZL8DBxAEunxOCquWWyustvR8buv9uOP8/DeE6L9BVrwBThMfz2LTXe2iC4wfEgONAsvAuOQ3JFBEREZFSU5ArUO95b05X7ecAZw6lOCAYg8W3Wtqb4dzvHJZ+xaXi2qlfL3EeWv6Xy8AVQ0WDN1ewGI/uNAFvTl/sE5a+84au9wwXDxsu/R/Lwhst4VoI1UBoITiB4W2thXQfJK94vYSpLkh3ufS0GNx+71jufDkTsF6gC4ITBBPyegidiOWycem5nCQQ9UImzuR6BufKkMyx5g72dboExgmwCqoiIiIi/lOQK4B1oe0/DcEqqPzU3OqNywhWQHy9F+Y+HgxzsaWFXcMdgPb/MnSegFA1LLxxcB5ckWs1DlRcZ4kutfS3QPf7Du3/lRM8jCVU7YU6E/CCW7ILbHJ4OHEiFidocCIQrPTW1jMm0zNncFNAGtw0pHsheRls2tDzzzQjVugw1usVdAZ7Bw1eds0MIbXQ/mbaO+B4dWXOM2NsZwKi43h1GwM4xjtuhs4lbzt7nYDFBtzBdgy95txnRBvH+3eI7nPJ7DUxXttYlaG3d3BOofEOkfmWGli0LEh6MOcNa8vw6+S2yT1v1HNFREREpCAKcpOUHoD2Y4b+dsOSDXPjASdjCVTk9MwddFh6l0vsuonb9V+CzlOG7rPeUztrPmuoW+lw6d1USRdfMAaiDRBtcLEpSPUa0j3ea6pnMLylvVAZa4BADIIxixP1vtaKWJC205N/2InBC+2Lrg/TdjqJTQFpg3XBYsD1jmcCHDmhxRiI1hpcyJ5nLcPaWHdwO/M+Ba7r/UklBs/JjEvNCYi573P3eaYy5tQdtd1lUuNer+Ot0dtN2yghcCgAWi8E54TU3EA92rbjmMHQaka0G3auyQnUg+HaBtIjrjfevQo6T8FVREREikBBbgLWQtcZrwcq3WtYeCOEFrve78BzWCAKi9db2o/Bud87LPmiSzTuhaBMjxV4vVRX34crpwyJCwYTsFQvM1Qth0CFi8kf21hiJgihBZbQAhg2jNMM38xV6Fw9C+BApMYQrLK5eyel7sYQfYnCn5IZrQjRfmZkOzPizXANN4VJ9rtDIS8TGDMBErLBMXPcWggEDB3vpYYFQmshFAqQHEh752ZukvPlV1/rkEzl/gCY4eFy8HybaTe4L2Acelrd4d/KvG/vaPerqHVw03ao9rwgnBuQbcrrKXctpDLBGDsseI8dhnOVIKhm5PXqFhwSzTgBMXffYEA1xo7cn3ft0faNuj8TevNrGC1gK7CKiIiU1KSC3MGDB/nFL35BKpXim9/8Jt/4xjeGHT9z5gwPP/wwPT09fP7zn+fHP/4xweDcz4i956HtDUN/mzcHbNEGL7zMxSGVo8mGuWa4eHjoF1fjWAIxrzcr1Q3pPm8pgcX/AdFr8cbkTeJplDNqNtVSZKOFm2HHXUP7mcLnrDWsjuBER140WuHgJsa+Xs2KIMn+wn8IgiFDMl14nfWrQ1w80Q8M6/ycUMPqSLZdxmihOPM5NoOhLr5yMBjnBsTcEDwYJHODoXXBCRjS/XbkuTnnWNeCa4Zd02BIp+zIcJrbo5u22GRer671enGH9e7mtMnWOenvWLHlDUMeK/TlhMMLkQSptBk/IGb2B0YLtXbUtiOC8lhheKJ7jhacNURYRER8MmHaamlpYc+ePbz66quEw2G2bdvGLbfcwooVK7Ln7Nq1i8cff5w1a9awe/du9u3bxz333FPSwksp3Qct/9tw9X1vPtySDRBe7A79UjWPBCIQ/++WVCfYFKQHDG6/IT34YJBwNVR9CoILcwLsPPseSGGsy6g9hxNpWB0pQTWFGS8U28FfyJ2Q4fIUg3F+cBzVYBDIWJLTrpAskH+/sXpus4FxsJe0fmVOD25+jyYM9d7mHQuEMkF1MKy6Zigw2qF22bbW6wl1jBdURwTjvNfMfmMdbNJiMbgpO6yWYYF1lB5a7y/RJ8aOOz91vPmqkz53EvNgvdexaxkWOjP7R3ufN3d2rH0FvWewJob2Z+fMZvYxxv7cmvPPRUFaRMrThEGuubmZtWvXUlNTA0BjYyOHDh3ie9/7HgDnzp2jr6+PNWvWANDU1MSzzz5bUJDLPORhtui9CKnLhiW3Giqus4PzlWa2RhOEUKzwezohQyBdWLtAGEKxzNZYKW30azohM2N1TtWUa5zBv4NMuxmtc4x2wSiExvmtqNj3U7uZbResMFz+MF1wu5plYdrODgzfOdgzlr8r9zV+wyjtxlARDZHoSw62C41oN94wY4MX5uo+HeLS31PDh/bmDf3NDfSZ/Qs/EcRN2myY9UKnHQynZmiYcm4ItYADNm1HDl9m6D2j7Aew6Zzr4X0BI+bV5s21HTE8OPf8YV9cObLDPhsjAp/J25/7OTJwzunFWifvAiNfzUT7c9pPeG5+QB3l3iavzjFDbn77ceoa7f2oP19j/KyNe95YfwejXG/E1zaOUc8drT5ThB+CYv16MsnrJCsGSCSmcdPZ9Wv07JH5b2N66B8ebRqi9ZaqZX4XN9xUs9CEQa61tZV4PJ7drq+v58SJE2Mej8fjtLS0FFTEokWVBZ1fanV18Mn/8LsKWHBd1RRbzmzPR3z5VO83c3VOtcZFnwxP8Y5Tu99M1zl2u/HrKP791E7tMoY+e1O9X+0y/3t/RUQKM9XfN6ScTTij33VdTM4/g1hrh21PdFxERERERESKa8Ig19DQQFtbW3a7ra2N+vr6MY+3t7cPOy4iIiIiIiLFNWGQW79+PceOHaOjo4NEIsHhw4fZsGFD9vjSpUuJRCIcP34cgAMHDgw7LiIiIiIiIsVlbHbl4bEdPHiQF154gWQyydatW9mxYwc7duzgwQcfZNWqVZw9e5Yf/ehHXL16lZUrV/LUU08RDmusr4iIiIiISClMKsiJiIiIiIjI7DHh0EoRERERERGZXRTkRERERERE5hgFORERERERkTlGQU5ERERERGSOUZCbZQ4ePMimTZu444472Lt3r9/lSBl57rnn2Lx5M5s3b+anP/2p3+VImXr66ad56KGH/C5DysiRI0doamrizjvv5PHHH/e7HCkzBw4cyP6/9+mnn/a7HJljFORmkZaWFvbs2cPLL7/Ma6+9xiuvvML777/vd1lSBpqbmzl69Cj79+/ntdde45133uH111/3uywpM8eOHWP//v1+lyFl5KOPPuLRRx/l+eef53e/+x2nT5/mL3/5i99lSZlIJBI88cQT/OpXv+LAgQO8/fbbNDc3+12WzCEKcrNIc3Mza9eupaamhlgsRmNjI4cOHfK7LCkD8Xichx56iHA4TCgUYvny5Zw/f97vsqSMdHZ2smfPHu6//36/S5Ey8vrrr7Np0yYaGhoIhULs2bOHm266ye+ypEyk02lc1yWRSJBKpUilUkQiEb/LkjlEQW4WaW1tJR6PZ7fr6+tpaWnxsSIpF5/+9KdZs2YNAB988AF//OMfue2223yuSsrJI488ws6dO1mwYIHfpUgZ+fDDD0mn09x///1s2bKFl19+mYULF/pdlpSJqqoqvv/973PnnXdy2223sXTpUm6++Wa/y5I5REFuFnFdF2NMdttaO2xbpNTee+897rvvPn74wx9y/fXX+12OlIlf//rXXHPNNaxbt87vUqTMpNNpjh07xpNPPskrr7zCiRMnNLxXZszZs2f57W9/y5///GfeeOMNHMfhpZde8rssmUMU5GaRhoYG2trastttbW3U19f7WJGUk+PHj/Otb32LH/zgB3zta1/zuxwpI3/4wx9488032bJlC88++yxHjhzhySef9LssKQOLFy9m3bp11NbWEo1G+dKXvsSJEyf8LkvKxNGjR1m3bh11dXWEw2Gampp46623/C5L5hAFuVlk/fr1HDt2jI6ODhKJBIcPH2bDhg1+lyVl4MKFC3z3u9/lmWeeYfPmzX6XI2Xml7/8Jb///e85cOAADz74IF/84hfZvXu332VJGbj99ts5evQoXV1dpNNp3njjDVauXOl3WVImbrjhBpqbm+nt7cVay5EjR1i1apXfZckcEvS7ABmyZMkSdu7cyfbt20kmk2zdupXVq1f7XZaUgZdeeon+/n5+8pOfZPdt27aNu+++28eqRERK66abbuLb3/4299xzD8lkkltvvZWvf/3rfpclZeILX/gCp0+fpqmpiVAoxKpVq/jOd77jd1kyhxhrrfW7CBEREREREZk8Da0UERERERGZYxTkRERERERE5hgFORERERERkTlGQU5ERERERGSOUZATERERERGZYxTkRERERERE5hgFORERERERkTlGQU5ERERERGSO+f+D/qkkB5KtIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 1, figsize=(15, 10))\n",
    "\n",
    "subplots = [a for a in ax]\n",
    "\n",
    "for platform, subplot, color in zip(platforms, subplots, colors):\n",
    "  \n",
    "    sns.distplot(np.log(main_data[platform] + 1), ax=subplot, color=color, kde_kws={'shade':True})\n",
    "    \n",
    "    # Set a nice title, get rid of x labels\n",
    "    subplot.set_title(platform, fontsize=18)\n",
    "    subplot.set_xlabel('') \n",
    "    \n",
    "fig.suptitle('Plot of Popularity by Platform', fontsize=24)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Popularity Prediction\n",
    "\n",
    "Our exploratory visualizations may not have yielded much to work from, but we can still see if there are any non-visual patterns we've missed that a model might discover. Our first task in preparing the data for modeling is to rejoin the document vectors with their respective titles. Thankfully, when we were preprocessing the corpus, we processed the `corpus` and `titles_list` simultaneously, so the vectors and the titles they represent will still match up. Meanwhile, in `main_df`, we have dropped all of the articles that had -1 popularity, so we'll need to drop the vectors that represent those article titles.\n",
    "\n",
    "Training a model on these enormous vectors as-is will not be possible on this computer, but we'll see what we can do with a little dimension reduction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "pca = PCA(n_components=15, random_state=10)\n",
    "\n",
    "# x is the array with our 300-dimensional vectors\n",
    "reduced_vecs = pca.fit_transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>1</th>\n",
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       "      <th>3</th>\n",
       "      <th>4</th>\n",
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       "      <th>11</th>\n",
       "      <th>12</th>\n",
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       "      <th>14</th>\n",
       "      <th>Title</th>\n",
       "      <th>IDLink</th>\n",
       "      <th>Title</th>\n",
       "      <th>Headline</th>\n",
       "      <th>Source</th>\n",
       "      <th>Topic</th>\n",
       "      <th>PublishDate</th>\n",
       "      <th>SentimentTitle</th>\n",
       "      <th>SentimentHeadline</th>\n",
       "      <th>Facebook</th>\n",
       "      <th>GooglePlus</th>\n",
       "      <th>LinkedIn</th>\n",
       "      <th>TimeSinceEpoch</th>\n",
       "      <th>DaysSinceEpoch</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>0.6100</td>\n",
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       "      <td>-0.1349</td>\n",
       "      <td>0.0096</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>0.1445</td>\n",
       "      <td>-0.1544</td>\n",
       "      <td>-0.1649</td>\n",
       "      <td>0.0073</td>\n",
       "      <td>-0.0285</td>\n",
       "      <td>0.0396</td>\n",
       "      <td>0.0707</td>\n",
       "      <td>-0.0077</td>\n",
       "      <td>-0.0429</td>\n",
       "      <td>0.0253</td>\n",
       "      <td>Microsoft offering £1...</td>\n",
       "      <td>311.0</td>\n",
       "      <td>Microsoft offering £1...</td>\n",
       "      <td>Just ahead of the mar...</td>\n",
       "      <td>International Busines...</td>\n",
       "      <td>microsoft</td>\n",
       "      <td>2015-11-08 05:25:00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0.1328</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>-0.0446</td>\n",
       "      <td>-0.0060</td>\n",
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       "      <td>-0.2527</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>-0.0050</td>\n",
       "      <td>-0.0954</td>\n",
       "      <td>-0.1532</td>\n",
       "      <td>Economy to improve th...</td>\n",
       "      <td>252.0</td>\n",
       "      <td>Economy to improve th...</td>\n",
       "      <td>&amp;quot;In the coming s...</td>\n",
       "      <td>IANS India Private Li...</td>\n",
       "      <td>economy</td>\n",
       "      <td>2015-11-08 05:40:00</td>\n",
       "      <td>-0.0820</td>\n",
       "      <td>0.2055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16747 days 05:40:00</td>\n",
       "      <td>16747.0</td>\n",
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       "    <tr>\n",
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       "      <td>-0.1794</td>\n",
       "      <td>-0.2340</td>\n",
       "      <td>0.0801</td>\n",
       "      <td>-0.0471</td>\n",
       "      <td>-0.1286</td>\n",
       "      <td>-0.0446</td>\n",
       "      <td>-0.0060</td>\n",
       "      <td>-0.1737</td>\n",
       "      <td>-0.2527</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>-0.0050</td>\n",
       "      <td>-0.0954</td>\n",
       "      <td>-0.1532</td>\n",
       "      <td>Economy to improve th...</td>\n",
       "      <td>227.0</td>\n",
       "      <td>Economy to improve th...</td>\n",
       "      <td>New Delhi, Nov 8 (IAN...</td>\n",
       "      <td>IANS via Yahoo Maktoo...</td>\n",
       "      <td>economy</td>\n",
       "      <td>2015-11-08 05:48:00</td>\n",
       "      <td>-0.0820</td>\n",
       "      <td>0.1870</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16747 days 05:48:00</td>\n",
       "      <td>16747.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>0.4975</td>\n",
       "      <td>-0.4756</td>\n",
       "      <td>-0.1600</td>\n",
       "      <td>-0.1626</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>0.0779</td>\n",
       "      <td>-0.0786</td>\n",
       "      <td>-0.0614</td>\n",
       "      <td>-0.1395</td>\n",
       "      <td>0.0587</td>\n",
       "      <td>-0.0891</td>\n",
       "      <td>-0.1018</td>\n",
       "      <td>0.0672</td>\n",
       "      <td>-0.0052</td>\n",
       "      <td>0.0592</td>\n",
       "      <td>Microsoft scales back...</td>\n",
       "      <td>307.0</td>\n",
       "      <td>Microsoft scales back...</td>\n",
       "      <td>NEW YORK — Microsoft ...</td>\n",
       "      <td>The Columbian</td>\n",
       "      <td>microsoft</td>\n",
       "      <td>2015-11-08 06:54:00</td>\n",
       "      <td>0.1063</td>\n",
       "      <td>-0.2073</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16747 days 06:54:00</td>\n",
       "      <td>16747.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>-0.1604</td>\n",
       "      <td>-0.2756</td>\n",
       "      <td>0.3429</td>\n",
       "      <td>0.1201</td>\n",
       "      <td>0.1550</td>\n",
       "      <td>0.2435</td>\n",
       "      <td>0.1748</td>\n",
       "      <td>0.2246</td>\n",
       "      <td>-0.0212</td>\n",
       "      <td>0.0185</td>\n",
       "      <td>0.1277</td>\n",
       "      <td>0.0315</td>\n",
       "      <td>-0.0493</td>\n",
       "      <td>-0.1332</td>\n",
       "      <td>0.0156</td>\n",
       "      <td>IDC predicts the emer...</td>\n",
       "      <td>207.0</td>\n",
       "      <td>IDC predicts the emer...</td>\n",
       "      <td>KUCHING: The global d...</td>\n",
       "      <td>The Borneo Post</td>\n",
       "      <td>economy</td>\n",
       "      <td>2015-11-08 08:34:00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16747 days 08:34:00</td>\n",
       "      <td>16747.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0       1       2       3       4       5       6       7       8       9      10      11      12      13      14                     Title  IDLink                     Title                  Headline                    Source      Topic         PublishDate  SentimentTitle  SentimentHeadline  Facebook  GooglePlus  LinkedIn      TimeSinceEpoch  DaysSinceEpoch\n",
       "726  0.6100 -0.3781 -0.1349  0.0096  0.1040  0.1445 -0.1544 -0.1649  0.0073 -0.0285  0.0396  0.0707 -0.0077 -0.0429  0.0253  Microsoft offering £1...   311.0  Microsoft offering £1...  Just ahead of the mar...  International Busines...  microsoft 2015-11-08 05:25:00          0.0000            -0.1328       0.0         0.0       0.0 16747 days 05:25:00         16747.0\n",
       "727 -0.5408 -0.4113 -0.1794 -0.2340  0.0801 -0.0471 -0.1286 -0.0446 -0.0060 -0.1737 -0.2527  0.0677 -0.0050 -0.0954 -0.1532  Economy to improve th...   252.0  Economy to improve th...  &quot;In the coming s...  IANS India Private Li...    economy 2015-11-08 05:40:00         -0.0820             0.2055       0.0         0.0       0.0 16747 days 05:40:00         16747.0\n",
       "728 -0.5408 -0.4113 -0.1794 -0.2340  0.0801 -0.0471 -0.1286 -0.0446 -0.0060 -0.1737 -0.2527  0.0677 -0.0050 -0.0954 -0.1532  Economy to improve th...   227.0  Economy to improve th...  New Delhi, Nov 8 (IAN...  IANS via Yahoo Maktoo...    economy 2015-11-08 05:48:00         -0.0820             0.1870       0.0         0.0       0.0 16747 days 05:48:00         16747.0\n",
       "729  0.4975 -0.4756 -0.1600 -0.1626  0.0125  0.0779 -0.0786 -0.0614 -0.1395  0.0587 -0.0891 -0.1018  0.0672 -0.0052  0.0592  Microsoft scales back...   307.0  Microsoft scales back...  NEW YORK — Microsoft ...             The Columbian  microsoft 2015-11-08 06:54:00          0.1063            -0.2073       0.0         0.0       0.0 16747 days 06:54:00         16747.0\n",
       "730 -0.1604 -0.2756  0.3429  0.1201  0.1550  0.2435  0.1748  0.2246 -0.0212  0.0185  0.1277  0.0315 -0.0493 -0.1332  0.0156  IDC predicts the emer...   207.0  IDC predicts the emer...  KUCHING: The global d...           The Borneo Post    economy 2015-11-08 08:34:00          0.0000             0.0032       1.0         0.0       0.0 16747 days 08:34:00         16747.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_w_vectors = pd.DataFrame(reduced_vecs)\n",
    "\n",
    "df_w_vectors['Title'] = titles_list\n",
    "\n",
    "main_w_vectors = pd.concat((df_w_vectors, main_data), axis=1)\n",
    "\n",
    "# Get rid of vectors that couldn't be matched with the main_df\n",
    "main_w_vectors.dropna(axis=0, inplace=True)\n",
    "\n",
    "main_w_vectors.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['IDLink',\n",
       " 'Title',\n",
       " 'Headline',\n",
       " 'Source',\n",
       " 'Topic',\n",
       " 'PublishDate',\n",
       " 'SentimentTitle',\n",
       " 'SentimentHeadline',\n",
       " 'Facebook',\n",
       " 'GooglePlus',\n",
       " 'LinkedIn',\n",
       " 'TimeSinceEpoch',\n",
       " 'DaysSinceEpoch']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# All of the columns have been successfully appended \n",
    "list(main_w_vectors.columns)[-13:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    8.1398e+04\n",
       "mean    -6.1554e-14\n",
       "std      1.0000e+00\n",
       "min     -1.7346e+00\n",
       "25%     -8.3868e-01\n",
       "50%     -3.5482e-02\n",
       "75%      8.2950e-01\n",
       "max      2.0034e+00\n",
       "Name: StandardizedDays, dtype: float64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop all non-numeric, non-dummy columns, for feeding into the models\n",
    "cols_to_drop = ['IDLink', 'Title', 'TimeSinceEpoch', 'Headline', 'PublishDate', 'Source'] \n",
    "\n",
    "data_only_df = pd.get_dummies(main_w_vectors, columns = ['Topic']).drop(columns=cols_to_drop)\n",
    "\n",
    "# Standardize DaysSinceEpoch since the raw numbers are larger in magnitude \n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Reshape so we can feed the column to the scaler\n",
    "standardized_days = np.array(data_only_df['DaysSinceEpoch']).reshape(-1, 1)\n",
    "data_only_df['StandardizedDays'] = scaler.fit_transform(standardized_days)\n",
    "\n",
    "# Drop the raw column; we don't need it anymore\n",
    "data_only_df.drop(columns=['DaysSinceEpoch'], inplace=True)\n",
    "\n",
    "# Look at the new range\n",
    "data_only_df['StandardizedDays'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create individual DataFrames for each platform's regression task\n",
    "fb_data_only_df = data_only_df.drop(columns=['GooglePlus', 'LinkedIn'])\n",
    "goog_data_only_df = data_only_df.drop(columns=['Facebook', 'LinkedIn'])\n",
    "li_data_only_df = data_only_df.drop(columns=['Facebook', 'GooglePlus'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Facebook Popularity: First Attempt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = fb_data_only_df.drop('Facebook', axis=1)\n",
    "y = fb_data_only_df['Facebook']\n",
    "\n",
    "# 80% of data goes to training\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "353495.42702873156"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# Instantiate an XGBRegressor\n",
    "xgr = xgb.XGBRegressor(random_state=2)\n",
    "\n",
    "# Fit the classifier to the training set\n",
    "xgr.fit(X_train, y_train)\n",
    "\n",
    "y_pred = xgr.predict(X_test)\n",
    "\n",
    "mean_squared_error(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Underwhelming results - let's do some hyperparameter tuning and see if we can improve. Hyperparameter grid repurposed from [this Kaggle article.](https://www.kaggle.com/jayatou/xgbregressor-with-gridsearchcv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 2 folds for each of 9 candidates, totalling 18 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=5)]: Using backend LokyBackend with 5 concurrent workers.\n",
      "[Parallel(n_jobs=5)]: Done  18 out of  18 | elapsed:  1.5min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.01814513627786679\n",
      "{'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, 'n_estimators': 250, 'nthread': 4, 'objective': 'reg:linear', 'silent': 1, 'subsample': 0.7}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "# Various hyper-parameters to tune\n",
    "xgb1 = xgb.XGBRegressor()\n",
    "parameters = {'nthread':[4], \n",
    "              'objective':['reg:linear'],\n",
    "              'learning_rate': [.03, 0.05, .07], \n",
    "              'max_depth': [5, 6, 7],\n",
    "              'min_child_weight': [4],\n",
    "              'silent': [1],\n",
    "              'subsample': [0.7],\n",
    "              'colsample_bytree': [0.7],\n",
    "              'n_estimators': [250]}\n",
    "\n",
    "xgb_grid = GridSearchCV(xgb1,\n",
    "                        parameters,\n",
    "                        cv = 2,\n",
    "                        n_jobs = 5,\n",
    "                        verbose=True)\n",
    "\n",
    "xgb_grid.fit(X_train, y_train)\n",
    "\n",
    "print(xgb_grid.best_score_)\n",
    "print(xgb_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "315220.13834017253"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = {'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, \n",
    "          'n_estimators': 250, 'nthread': 4, 'objective': 'reg:linear', 'silent': 1, 'subsample': 0.7}\n",
    "\n",
    "# Try again with new params\n",
    "xgr = xgb.XGBRegressor(random_state=2, **params)\n",
    "\n",
    "# Fit the classifier to the training set\n",
    "xgr.fit(X_train, y_train)\n",
    "\n",
    "y_pred = xgr.predict(X_test)\n",
    "\n",
    "mean_squared_error(y_test, y_pred)\n",
    "\n",
    "# Well, it -is- better than the base model by about 30,000, but still not ideal."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As seen above, the data in its current state seems insufficient for this model to perform. Let's see if we can improve it with a little feature engineering: we'll train some classifiers to separate the two main groups of articles: Duds (0 or 1 share) vs. Not Duds. \n",
    "\n",
    "The idea is that if we can give the regressor a feature (the probability that the article will have extremely low shares), it may perform more favorably on predicting the more highly-shared articles, thus lowering the residual values for those articles and reducing mean squared error."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification: Detect Dud Articles\n",
    "\n",
    "Let's take a look at the distribution of FB popularity as a whole:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    81398.0000\n",
       "mean       129.7399\n",
       "std        662.1148\n",
       "min          0.0000\n",
       "25%          1.0000\n",
       "50%          8.0000\n",
       "75%         44.0000\n",
       "max      49211.0000\n",
       "Name: Facebook, dtype: float64"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fb_data_only_df['Facebook'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This tells us that 25% of articles don't even get one share. Also, from the log-transformed plots we made earlier, we can note that in general, there are 2 chunks of articles: 1 cluster at 0, and another cluster (the long tail) going from 1 onwards. We can train a few classifiers to identify whether the article will be a \"dud\" (be in the 0 shares bin), and then use the predictions of those models as features for the final regressor, which will predict probability. This is called **model stacking**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Facebook</th>\n",
       "      <th>is_dud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Facebook  is_dud\n",
       "726       0.0       1\n",
       "727       0.0       1\n",
       "728       0.0       1\n",
       "729       0.0       1\n",
       "730       1.0       1"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Define a quick function that will return 1 (true) if the article has 0-1 share(s)\n",
    "def dud_finder(popularity):\n",
    "    if popularity <= 1:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "# Create target column using the function\n",
    "fb_data_only_df['is_dud'] = fb_data_only_df['Facebook'].apply(dud_finder)\n",
    "fb_data_only_df[['Facebook', 'is_dud']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    58352\n",
       "1    23046\n",
       "Name: is_dud, dtype: int64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fb_data_only_df['is_dud'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2831273495663284"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 28% of articles can be classified as \"duds\"\n",
    "fb_data_only_df['is_dud'].sum() / len(fb_data_only_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our dud feature made, we'll initialize the classifiers. We'll use a Random Forest, an optimized XGBClassifier, and a K-Nearest Neighbors classifier. First, the XGB, since it requires a lot of fiddling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = fb_data_only_df.drop('is_dud', axis=1)\n",
    "y = fb_data_only_df['is_dud']\n",
    "\n",
    "# 80% of data goes to training\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 2 folds for each of 9 candidates, totalling 18 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=5)]: Using backend LokyBackend with 5 concurrent workers.\n",
      "[Parallel(n_jobs=5)]: Done  18 out of  18 | elapsed:   22.8s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "{'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, 'n_estimators': 100, 'nthread': 4, 'silent': 1, 'subsample': 0.7}\n"
     ]
    }
   ],
   "source": [
    "# Hyper-parameters to tune\n",
    "xgc = xgb.XGBClassifier()\n",
    "parameters = {'nthread':[4],\n",
    "              'learning_rate': [.03, 0.05, .07], \n",
    "              'max_depth': [5, 6, 7],\n",
    "              'min_child_weight': [4],\n",
    "              'silent': [1],\n",
    "              'subsample': [0.7],\n",
    "              'colsample_bytree': [0.7],\n",
    "              'n_estimators': [100]}\n",
    "\n",
    "xgb_grid = GridSearchCV(xgc,\n",
    "                        parameters,\n",
    "                        cv = 2,\n",
    "                        n_jobs = 5,\n",
    "                        verbose=True)\n",
    "\n",
    "xgb_grid.fit(X_train, y_train)\n",
    "\n",
    "print(xgb_grid.best_score_)\n",
    "print(xgb_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Give it 200 estimators, 100 is just a restriction to make the grid search run faster\n",
    "params = {'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, \n",
    "          'n_estimators': 200, 'nthread': 4, 'silent': 1, 'subsample': 0.7}\n",
    "\n",
    "# Try again with new params\n",
    "xgc = xgb.XGBClassifier(random_state=10, **params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X = fb_data_only_df.drop(['is_dud', 'Facebook'], axis=1)\n",
    "y = fb_data_only_df['is_dud']\n",
    "\n",
    "# 70% of data goes to training\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 10)\n",
    "\n",
    "#lr = LogisticRegression(solver='liblinear', multi_class='auto', random_state=10)\n",
    "#xgc = xgb.XGBClassifier(random_state=10)\n",
    "rfc = RandomForestClassifier(n_estimators=100, random_state=10)\n",
    "knn = KNeighborsClassifier()\n",
    "\n",
    "preds = {}\n",
    "for model_name, model in zip(['XGClassifier', 'RandomForestClassifier', 'KNearestNeighbors'], [xgc, rfc, knn]):\n",
    "    model.fit(X_train, y_train)\n",
    "    preds[model_name] = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGClassifier performance:\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.72      1.00      0.84     11694\n",
      "           1       0.58      0.00      0.00      4586\n",
      "\n",
      "   micro avg       0.72      0.72      0.72     16280\n",
      "   macro avg       0.65      0.50      0.42     16280\n",
      "weighted avg       0.68      0.72      0.60     16280\n",
      "\n",
      "RandomForestClassifier performance:\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.72      0.97      0.83     11694\n",
      "           1       0.39      0.05      0.09      4586\n",
      "\n",
      "   micro avg       0.71      0.71      0.71     16280\n",
      "   macro avg       0.56      0.51      0.46     16280\n",
      "weighted avg       0.63      0.71      0.62     16280\n",
      "\n",
      "KNearestNeighbors performance:\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.73      0.85      0.78     11694\n",
      "           1       0.35      0.21      0.26      4586\n",
      "\n",
      "   micro avg       0.67      0.67      0.67     16280\n",
      "   macro avg       0.54      0.53      0.52     16280\n",
      "weighted avg       0.62      0.67      0.64     16280\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report, roc_curve, roc_auc_score\n",
    "\n",
    "for k in preds:\n",
    "    print(\"{} performance:\".format(k))\n",
    "    print()\n",
    "    print(classification_report(y_test, preds[k]), sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
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0NHNvQm+/btR3KXkV1LRpzxMbG4OdnR3ffvsjTzzRplz1VxYiUAiCYHXJGRq+33qlcELaRimnV+uaDO9av3Cu4d/+npg23DyJ/uZJpNw0UNmhahSEqml3FNVqASBTqICyBYrYnHj2RB3kbNJFANp6t6JX7a5Udyw+nUZ8fBzBwbuYOHEyy5atYOnSJbz33sIy1VtZiUAhCILF5euN3IjJIDI+m2uRaYXDSzU8HRjfuyENa7kW+43dlJ2M/uZJDDdPYkqPLVi1VKsZqvYjUfq1QqayK/J15kiSxI2MCPZEHeRaWhg2Chu61exEj1pdcLNzLfG1H330IevXrwOgX7+n8Pb2qTJBAkSgEATBApIyNJy6moBWb+Ta7XSiEv9ZyqpUyGnVwIPebWrR2K/odBim7GQMt8+hv30GU+JNABTeDbDtPAFl3TblmpguvLZk4mLyVfZEHyQq6w6OKgcG1etLUI0nsVeVvFQ2IuIWEyc+Q3Z2wYa5ESNGV4okfpYmAoUgCOV28moCf56IIi4lt/Bnbk621PFxol0Tb5rVrUZNr/uXpkqShCk9BsPtcxgiz2JKjQZAXq0mNm1HoPJvj9zpwVYP6Y16TiecY2/0IZI0KXio3RnTaCjtfdpgo1CZff2xY0eYPn0KANWqubNu3W/4+lZ/oDZVViJQCIJQJjq9kcsRqew/F1uYNqNToA/1qrvQOdAHlbLoOQcAY2o0+hsnMESeRcpKAmTIvetj2350wZJWZ69iX1taeXoNR2NPciDmKFm6bGo71eC5ZuNp6dmsyBVM/5aTk4OjoyMdOnTEzc2NYcNGMXPmnAduV2UmAoUgCCWSJInb8dmcv5HMxZupxCT/k4G1pb8HUwcHFDshDWDSZhdMSIcdxZQaBXJFwWa45v1R1mmF3L7k+YHSysjPZP9dx4w2qdaQibXH0MjNv1R5nIxGIzNnTuX48aN89NFS+vUbwIEDlTOJn6WJQCEIQpEyc3X8fuAmx68kIN318ycaetKgpgttG3tRzbnoiWXJZMR45zL68KMYos6DyYjcww/bjuNR+Xco807pksRkxbMxdEfhMaOtvVvQq3ZXajnVKPU1jhw5xCuvzESvL0jil5eXa/5FVYgIFIIg3CMtS8uB87H8dSIKAGd7FZ2bV6dToA8+1eyL/XYuGQ0Y469jiDyH4fZZJE0mMjsnVE17omrUBYV7LYu2MyIzkj1Rh7iUchWVXPW/Y0aD8FBXK9N1JkwYw6VLFwCoV68+69b9jlqttmhbKzsRKARBIDNXx8q/QrkSkVp49+Bgp+SZXg14MsCn+OCgy8MQfakgONy5DHoNKGxQ1gpE2bAjylotkCks9zFT1DGjIwKeoo1bG5xsyneXcvt2BAqFgnff/T8GDx5qsbY+TkSgEIQqLC1Ly7dbrhAR9895CS39Pejbrlaxex0kkwHDrdPobxzHGBcKJmPBnUO9NijrPIGiRgAypWUT4hV3zGjH6u2o6eNOcnK2+Yv8j0ajYdy4EXTv3ouZM+c8lkn8LE0ECkGoQvQGI5EJ2dyIyWTf2RjSs/MB8HCxY1R3f9o0Ln7VkZSfi/76IXRX9iDlpiNz9kLVrDfKOq1ReNVHJje/oqiszB0zWlbr1q3hk08+KjgmNSODmTPnPJZJ/CxNBApBqAL0BhM//HmNkOtJ9/zcy1XN4M516NjMt9jXmrKT0V3egz7sMOi1KKo3wabLJBS1Akt1ZGh5mDtmtKwyMzN45pnhxMXFAtCpUxe+/PJ7Szf7sSUChSA8pkySxPnwZK5HZ3DmehJZ/0vCN6q7P34+TvjXcEGlLP6D3pgaje78nxhunwHkKOu3w6Z5PxQeflZrc1JeCvvuHOZkfEixx4yWx7RpzxMXF4tarWbZslU0b97SQi2uGkSgEITHjCRJHDgfy46TUaRlFQwtNazpwuju/jzZzHz6CWPSLfLPbccYfaEgCV9gP2ya9UbuWLbVRGWRnJfKtoidnL/7mNHaXfG2L/+wUHx8HDt3/sXkyVNYtmwFX3zxKW+99b4FW111iEAhCI8Jg9HEO8uOcz48GQBnBxuGBdUjqEV1nB3MT9Qa4sPQnduGMfYq2Dpg02YoNgG9kNk6WK3NOqOePVEHCI4+iEImN3vMaGktXPgev/22HoABAwbh7e0jgsQDEIFCEB4DF26k8NWmS0gSuDvb0qdtbXq2rolcXvJ4viRJGGOuoDu/HWNCODK1M7btR6Fq0h2ZjXX3ElxJCeW38K2kaNNo7dWCYQ0G4mrr8kDXvHnzBs8+O5bs7IJVUKNGPVMlk/hZmlUDxfbt2/nuu+8wGAxMnDiRcePG3fP81atXeeedd9Dr9fj6+vLxxx/j7Pxg3yQEoao5djmeFX+FAtDvyTqM6lrP7GskyYQh6gK689sxJd9G5lCtYNd04yCLL239t1RNGr/f2M6llKt423sxs+UUGldr8MDXvTuJn7u7B2vXbqyySfwszWqBIjExkc8++4xNmzZhY2PDmDFjaN++Pf7+/oVlFi5cyKxZs+jatSsfffQRK1asYM6cqp18SxBKy2A0sfHATfaGxOBTzZ65z7SiYT2PEvcUSCYThttnCgJEWgwyJ09sg55F1aCTRTfGFUVvMrAv+hC7IvcjA4bU70+PWl1QFnEWdVlkZmYC8v8l8avGyJFjeOmlWRZps1DAau+M48eP06FDB1xdCxJ+9e3bl127djFjxozCMiaTidzcgpwqGo0GF5cHu+0UhKpi39kY/jweSWaujsa1XZn2dDOc7Iu/E5AkCcPNE+Sf24aUmYDc1Re77i+grN8eWTn2I5RVaGo4G8O3kKRJoaVnICMaDDJ7WJA5RqORl16awqlTx1m8+BP69x/IgQPHLdRi4W5WCxRJSUn3bGTx8vLi0qVL95SZP38+kydPZtGiRajVajZu3FimOtzdy59YzNPTqdyvraxEnyu/nDwd7/1wkrDogvTe04Y3p/+T957v/O8+6zOTSPnre7S3L2LjVQfXYa/h0KhdhQSI1Lx01pz/nZMx5/B19OLNoJm09G36wNfdvXs3U6dORa/XI5fLsbGRPXZ/a3Mqsr9WCxQmk+meN68kSfc81mq1LFiwgNWrV9O8eXNWrVrFvHnzWL58eanrSE3NwWSSzBf8F09PpzJt+X8ciD5XfjdjMlm09iwAHZv5MKqHP872NqSk/JP2++4+S5KEPvQg+ac2AGDbeQKqJt3QyORoUvOs2laDycCBO0fZEbkXSTIxsG5fevl1RSVXPvDfZPz4UVy5UvCls0GDhuzcuYOcHMNj9bc2p7zvbblcVq4v2FYLFD4+PoSEhBQ+Tk5Oxsvrn/QA4eHh2Nra0rx5cwBGjx7NF198Ya3mCEKldvBCLD/tCgOgc6Avkwc0KbG8KSsZ7eGVGONCUdRoil3Qsw98YlxphaffZEPYFhLykgj0aMrIBoNxL2NG15JER0ehUCj4v//7L/37D0StVpOTU3WCxMNgtUDRsWNHvvrqK9LS0lCr1QQHB/Phhx8WPu/n50dCQgIRERHUq1ePffv2ERgYaK3mCEKllKvV839rQkhM1wDw7qS2+PkUP+QgSSZ0V/eRf2ojyGTYdpmEqnHXcqW9KKvM/Cw23fyTkMQLuNtV48Xmkwj0ePBhppycHMaPH0WPHr2YNesVtmzZiYuLCwqF9YfOhAJWCxTe3t7MmTOHCRMmoNfrGTFiBM2bN2fKlCnMmjWLwMBAFi9ezMsvv4wkSbi7u7No0SJrNUcQKhWjycRfJ6LYGxJDjkaPo1rFwintS5ywNiZHEvfnOvLjbqCoEYBd18nIHd0roK1GDsUe56+IYAySkf51etHHr3upzqU2Z82alXz++cdIksSWLX8wa9YrVKtmvR3iQtFkkiSVfZD/ESHmKEpP9LnySMvSsuCHU+TrjTjYKZk6JIBmdYv/wJfyc8k/8wf6awdQODijajsKZYOOFXIXcTPjNhvCNhOXm0DTao0Y2XAIXvYeD3zdtLQ0xo4dTkJCPABdunTj88+/KfIuorL+nR/EYzNHIQhC2RhNJg5diGNtcDgAvdvUYnQP/2J3V0uSCUP4MfJPbUTKz0HVrBfV+/6HtGyT1duapctmy80dnEo4i5utK1MCJ9DCI8BiwWnGjBdISIhHrbZn+fLVBAY2t8h1hfIRgUIQHgGRCVl8/Ot5NPlGAF56ulmJZ0MYU6PJP/ozxsQbyL39UXd6DYWHHwo7B8i23rdrk2TicOwJ/ozYjc6op49fd/rV6Ymt4sF3c8fGxrBr118899xUli9fzRdffMKCBe89eKOFByYChSA8RJp8A2uDwzhxNRGAfu1q07ttLdycbIssL+nyyA/ZjP7qXmS2jth1fQ5lw05WOxfibrczo9gQtpk7OXE0dmvAqIZD8HYoPpiVxfvvv8Xmzb8DMHjwMDw9PUWQeISIQCEID4HBaGLVjlBOXUvCJEm4O9sxZVBTGtYqerdy4c7qk+uRNNmomnbHts0wZHbl33RaWjm6XLbe2sHx+DO42DgzOWAcT3g1t8gw0/Xr13juuQnk5hbsBRk3boI4ce4RJAKFIDwEH6wOISa54MNx5rBAWjUs/sPRmBZD/rGfMcaHIfesh7rfHBSeda3eRpNk4ljcabbd2onWmE/P2kE8VacXdko7i1z/yJFDzJw5FQBPTy9++eUPESQeUaUKFAkJCYSFhdG5c2cSExOpXl1kZBSE8jp6KZ6Y5Bz8fJx4e2Ib5MV8M5d0GvLPbUV/ORhs1P/bExFUIcNMUVl32BC2hajsOzRwrceohk9T3dEy6bqzszNxcnKhY8fOuLt7MGbMOKZMmWaRawvWYTZQHDx4kPfeew+5XM769esZMGAAH3/8Mb169aqI9gnCYyNHo+enXdcJCUummrMt88c9UWyQMKZGo9n9BVJOKqrGXbFpNwK5nfVz++Tq89gWsYtjsadwtHFgYtMxtPVuZZFhJqPRyNSpkwkJOVWYxG/fvqMWaLVgbWYDxTfffMPGjRt54YUX8PLy4pdffmHevHkiUAhCGZwPT2bNrutk5elxcbDhzfGtsVUVvbNYH3kW7f7lyGztsR+8AIXPg5/VYI5JMnEq/ixbbu0gV59Ht5qdGFCvN2qlZQ4v2r9/D6+/PgeDwYBcLkev11vkukLFMBsojEbjPTmamjRpUiEbeQThcfHbgZvsPBWNQi5j+tBmtG5U9EohSZLQXfgL3Zk/kHvWQd13NnL7B0vFXRp3suPYGL6ZiMwo6rn4MbrhUGo6WW54eezYEVy7dgWAhg0bs3btRmxsrHs4kmBZZgOFWq0mLi6uMDiEhIRga1v00j1BEP6Rrzey/VgkO09F42Cn5NMZnVEpi55fkAw6tIdXYbh5AmX9Dth1nWz1k+Y0Bg3bI4I5HHMcB5U945uMor3PE8gtPAcSG3sHpVLJokUf06dPf4teW6gYZgPFq6++yuTJk0lOTmb06NFERkby1VdfVUTbBKHSOh2ayPdbrwLg5mTL62NbFRskTHkZaIK/wpR0C5s2w7BpNciqd+2SJHE64Rybb/1Fji6XLjU6MKheX+xV9ha5fnZ2JuPGjaJnz97Mnv0a27btxtHRSSTxq8RKlespKyuL8+fPYzKZaNGixSOTlEvkeio90eeKkafVs+XIbfadi0GSYEzPBvRpW6vY8oaYq2gP/oCky8Ou+wuo6rZ5oPrN9TkuJ4EN4Zu5mXEbP+dajGk4lNrONR+ozrutWLGMr7/+/H+JPj0qZLJavLdLz2q5np5//nl+/PFHunbtWvizUaNGlfk0OkF43KVlaXl7xWk0+QZ83e2ZMSwQX3eHIstKOg35Jzegv34QmZNnwaS1h5/V2qY1aPnr9h4OxhxDrbBjbKPhPFm9rcWGmZKTkxk3bgRJSQU7zLt27c4XX3xnkWsLD1+xgWLWrFncvn2bO3fuMGjQoMKfGwwGMRElCHfJ1xvZG3KHrUcjMRhNTOrfmC7NfYsdPjLEXEV7eCVSThqq5v2xbTPUavMRkiRxNukim278SZYum47V2zK4fn8cVUUHsPKaPXsaSUmJ2Ns78OOPq2naVJwt8zgpNlC8/vrrxMbG8vbbb/P2228X/lyhUODv718hjROER1lqppaVO0IJjSo4v9rZXsWLQ1rQ2M+EI2+YAAAgAElEQVStyPKSTkP+qY3oQw8gc/HBfsgCFN7W+7+UkJvExvAthKXfpJZTDaYETqCuS22LXf/OnSh27PiTqVOns3z5ar755gvmzVtgsesLjw6zcxQmkwm5/N7b07y8POztLTPx9SDEHEXpiT5b1sb9N9l1Orrw8bjeDQlqUb3YCWtD7LWCu4jsVFTN+xbkabLCXYSnpxMxCansitzHvujD2ChsGFyvL51rdLDoaqZ33nmTbds2AbBnz5GHmnpDvLdLz2pzFPv37+fLL78kLy8PSZIwmUxkZGRw/vz5MlcmCJXd5YhUvvrjMgajCblMxoxhgQTWr4ZCXsyyV7224C7i2n5kLt6oB7+J0kob6CRJ4lTMeVaGbCQ9P4MOPm142v8pnGwslzjw2rXLPP/8JPLycgH4z3+eFfmZqgCzgWLJkiW8/PLL/Prrr0yZMoW9e/fi4GDZ8U1BqAy2HIlg27FIALzc1LwzsS32dsX/FzLEhaI9tBIpOwVVYF9s2w5DprTOHqSkvGQ2hm8lNC2cGo6+TAp4Bn9XyyYOvDuJn5eXN+vW/S6CRBVRqg13Tz31FKGhodja2vLee+8xYMAA5s2bVxHtE4SHTpIk/jgUwY6TUXi42PHmf1rj6lj8B76kzyf/9Eb0V/chc/ZGPfgNlD4NrdI2nVHH7qgD7I06iFKuZFKrkTzh8gQKueX2LGRmZuDi4krHjp3x8PBk7NgJTJ48xWLXFx59ZgOFra0tOp2O2rVrExoaSvv27UUKD6HK0OQbeO3b42jyDQC8+2xbHOxUxZY3xIehPfhjwV1Es97YththtbuIyynX+C18K6nadNp6t2Ko/wD8a9aw2Hi90Wjk+ecncP78WT74YDGDBw9l794jFrm2ULmYDRQ9evTghRde4L///S+jR4/m7NmzuLkVvapDEB4n2Xk6Fq09hybfQNM6brw8sgVKRXFzEfnkn/kd/ZU9yJw8UQ+aj9K3kVXalaJJ47fwrVxJDcXHwZvZrabS0K2+ResIDt7Jm2/OLUziJ7fgHYpQ+ZgNFC+++CKDBw/G29ubb775hpCQkHv2VQjC4yguJZfFa8+SqzUwtEtdBnUqfrzfEB+G9tAKpKwkVAG9sG03EpnK8ncReqOePdEHCY46gEwmZ6j/ALrX7GzRYSaAMWOGcv16KACNGzflp5/Wi71TVVyJgeL27ds4ODgUHlQUEBCAh4cHCxcuZOnSpRXSQEGoaDFJOby36gwmSSoxSEhGPflnNqG/tAuZkwfqgfNQVm9ilTZdTQ3jt/AtJGtSecKrOcP8B+JmZ53MsvHx8SiVSpYs+YwePXpbpQ6hcik2UPz444988803ACxfvpy2bduyevVqvvrqKwICAiqsgYJQkUKj0vn414Kl36+MbkGzuu5FljOm3kF7YBmmtBhUjbth++QYZCrLHBF6tzRtOn/c2M6F5Ct42Xsws+UUGlez7PLa7OxMxo4dSY8evZgz53W2bdslkvgJ9yg2UGzYsIEdO3YQHx/PypUr+fXXXzl9+jTvvfeeGHoSHjt6g5Gfdodx7HICAFMGNi0ySEgmE7pLO9GFbEJm64C638soa7e0eHsMJgP7o4+wM3IvEjC4Xj961A5CJbfsMfc//PAd3377JZIksWPHdubMeR0XF+ufgSFULsW+69RqNb6+vvj6+vLSSy/RsmVLduzYgbOzc0W2TxCsLk9rYN73x8nVGnCyV/HKqJb4+dx/7KgpKxntwR8wJoSjrNsG2y4TrXI86fW0G2wM30JiXjItPJsx3H8Q7mrLLiBJTExg/PiRJCcnA9CjR28+/VQcHyAUrdhAcfdtp6OjI59//jl2dpa/tRaEh+l6VDrfb71CrtZAw1quzBt7//nQkiRhCDuC9sQvgAy7blNQNuho8WXiGfmZ/HFjO+eSLuGhduelFpMJcG9s0Tr+NmfODJKTk3F0dOTHH3+iceOmVqlHeDyU6j7WyclJBAnhsRKdmM2qHdeJSsxGIZcxa3hzWjbwuK+cSZNF/uFVGKLOo6jeBLtuzyN3LHreoryMJiMHYo6y4/YeTJKJAXV707t2N1SK4vdrlEdExC2Cg3fy4oszWL58Nd9//zWvvTbfonUIj6diA0VqaiqrVq26799/e/bZZ63bMkGwgpjkHJZtu0psckGuotYNPRndwx8PV/V9ZY3Jt9EEf4WkzcK2wzOoAnsjs/AxoTfSb7EhfAvxuYk0c2/MyIZD8FBbNhABvPnmXHbs2A7A8OGj8fT0FEFCKLViA0WnTp0IDw+/79+CUFmduJrAD9uvAdC8vjtjezfEq4gAAaAPP4r2yGpkahfsh7xt8UOFMvOz2XzzT84knqeanRtTAyfS3NPyqwkvX77ECy9MQqPJA2RMnjxF5GcSyqzYQLF48eIHvvj27dv57rvvMBgMTJw4kXHjxt3zfEREBO+++y6ZmZl4enry6aef4uLi8sD1CsLdtDoDK/8KJSSsYOJ2Uv/GBLWoXmRZyWQg/8R69Ff3Fgw19XrJohPWRpORw7En+DMiGINJT786Penr1x0bheU3tN2dxM/Hx5dffvnjkTnGWKhcLLvW7i6JiYl89tlnbNq0CRsbG8aMGUP79u0LDz2SJIlp06axYMECgoKC+OSTT1i+fDlz5861VpOEKkirM/DJ+gtExGUR1MKXoUH1cXEo+kPZlJeJdt+3GOPDCrK9th+FzIK7niMyI1kftpnYnHiaVGvIqIZD8LK3/Lf7tLQ0qlWrRseOnfH09GL8+ElMnDjZ4vUIVYfVAsXx48fp0KEDrq4Fa7L79u3Lrl27mDFjBgBXr17F3t6eoKAgoCBVSFZWlrWaI1RB2Xk6pn96GAno/kQN/tOn+NxLxqQINHu+RtLmYNdjKir/Jy3XDl0OW27t4GR8CK62Ljzf7D+09Gxm8VVTRqORIUOGEBISUpjEb8+ewxatQ6iarBYokpKS7hkL9fLy4tKlS4WPo6Oj8fDw4M033yQ0NJR69erdc+SqIJSXJEn8eSKKE1cTCjardarD013qFVteH3YE7dE1/5uPWGCx+QiTZOJo7Cm2Rewi35hP79rd6FenJ3ZWyCa7c+efvPXWPIxGI3K5HJXKsiumhKqtVIHi0qVLXLt2jWHDhnH16lVatWpl9jUmk+meb0ySJN3z2GAwcPr0adauXUtgYCCff/45H330ER999FGpG1+eI/3+5ulp+Y1Sj7qq0OfbcZks33KZK7dSAZg6NJCBnYsOEpLRQOre1WhDdqKuE4jX0FdQ2FtmQ+nN1Eh+PPsrEenRBHg15LnWY6jp7GuRa/9b7969uXatYJK+RYsWbNmypcol8asK7+1/q8g+mw0UmzZtYsWKFeTn59O7d29eeukl5syZw6hRo0p8nY+PDyEhIYWPk5OT8fLyKnzs6emJn58fgYGBAAwcOJBZs2aVqfHizOzSqwp9jk7M5r1VZwDo1MyHmWOeIC9HW2S/JYMOzd5vMEZfRNW8H4p2I0nLlUHug/2OcvS5bLu1k+NxZ3C2ceTZgLG09mqBLF9mtd9/XFwcSqWKTz75nJEjn/5fPflWqetRVBXe2/9W0Wdmm10U/vPPP7NhwwYcHR1xd3dn06ZNrFmzxuyFO3bsyIkTJ0hLS0Oj0RAcHFw4HwHQqlUr0tLSuH79OlBwNrdINiiUV0JaHu+vLggSL49sznMDm+KgLnr4RTLo0AR/iTH6IradJ2DXYcwDT1qbJBPH4k7xwcmPOREfQvdanXm7w1zaeLe0+FxEZmYGTz3Vk6VL/wvA9u27OXXqAt269bRoPYLwN7N3FHK5HEfHfyKQr69vqbJKent7M2fOHCZMmIBer2fEiBE0b96cKVOmMGvWLAIDA/nmm29466230Gg0+Pj4sGTJkgfrjVDlSJLE9mORbDl6GxkwsV8jmte/f4d1YXl9Pprdn2OMu45d0GRUjYOKLVta0dkxbAjbQmRWNPVd6jK60dPUcLTOMNO3337JDz98hyRJ7Nr1F6++Og8nJ7GkXLAus4HC1dWV0NDQwm9F27ZtK/Veh0GDBt2XafaHH34o/HeLFi34/fffy9JeQSiUo9Hz5R+XuBmTiaujDS8MCqCxX/HJ8ySdBs2uzzAm3sCu+xRUDTo+UP15+jy2RwRzJPYEjioHJjQZTTufJ6xyVHB8fBzjx48iNTUFgD59+rFkyecWr0cQimI2ULz55pvMnj2b6OhoOnfujK2tLd9++21FtE0QipWenc/itWdJzdLSv31thnerj7yED2hJl0fezk8xJUVg1+NFVPXbl7tuSZI4lXCWzTf/IlefR1DNjgys2wd7VdG7vC3h1VdnkZqagpOTE6tW/YK/v2XPpBCEkpgNFPXq1WPr1q1ERkZiNBqpW7euWHonPFR3knJY+FMIOoOJKQOb8mQznxLLS9oc8nYuxZQajV2v6ajqti533bE58WwI28ytzEjqOvsxo+VQajkVvcv7QUVE3GLHjj+ZMWM2y5evZsWK75k9+zWr1CUIJTEbKLp27cqIESMYPnw4NWrUqIg2CUKxLt5M4etNl1Eq5Mwa0ZyW/sXPRwCYtNlo/voYU3oc6t4zUfqV75AhjUHLX7eDORRzHHulmnGNR9LBtzVyCycJ/Nv8+a+ya9dfAIwePRZPT08RJISHxmygWL16NZs2bWLs2LH4+/szcuRIevXqhVJptb16glCkuJRcvt92FaNJ4v3Jbaju4VBieUNOBprtH2HKSio4ia5mszLXKUkSIYkX2HTzT7J1OXSq0Z7B9frhoLIvbzdKdP78OaZNew6tVgPIeO65F0QSP+Ghk0mSVKqNCCaTiSNHjvDNN98QExPD8ePHrd02s8Q+itKr7H2+GZvJR2vPYZIkZg4PpFWDkj88DXHX0R1chlGbi7rvyyhrlP1gnvjcRDaEbeZGRgS1nWoyptFQ/JxrlbcLZt2dxK969Rr8+usfZT6WtLL/nctD9Ln0yruPolS3BampqWzbto3NmzcXJvMThIqgN5jYG3KH3w/eQqWSM2t4C5rWKTkDqj78GNrDK1G6eGLfczoKb/8y1ak15LMzci/77xzBTmHLmEbD6FS9ndWGmZKTk/H09KRjx854eXkzceJkxo2baJW6BKE8zAaKF198kfPnz9O7d28+/PBDWrRoURHtEgQi4rL4v58KdvfX8HDgpaHN8HUvfrhJkiR0Z7egO7cVRfUm1Bgzn7Sc0t9xSpLE+eTL/HFjOxn5mXT0bcvg+v1xsil/qpiS6HQ6Jk8ez5Url3j//UUMGTKM4OBDVqlLEB6E2UDRo0cPli5dioNDyePBgmApkiSx+/QdNh64CcDTnesyqFOdEvcnSEY92kMrMdw8gbJhZ+y6TEKhdoSc0t2eJ+YmsTF8K9fTb1DTsTrPNRtPPRfLHlZ0t23bNvP++29hNBpRKBSo1dZbWisID6rYQLF161aGDBlCTk4OGzduvO95cRSqYA2afAPvrjxNSqYWgP7tazO4c90SXyNpcwpSciSEY9N2ODYtB5Z605vOqGNX5H72Rh/CRqFiZMMhBNV40mrDTADDhw/k1q2CINi8eUtWrVpXqmwHgvCwFBsooqKiALhx40aFNUao2k5eTeCHP68hSdCuiRfPDWiCSlnyB6gpM4G8XZ8h5aQWbKTz71CquiRJ4lLKVX4L30Z6fgbtfVrztP9TONtYPyNnamoqKpUNn376FV26dLV6fYLwoIoNFH9ncu3Zsye9evW657ktW7ZYt1VClWIySSzdcIHQqHQAXnq6GW0ae5l5FRjiw9AEf4kMGeoB81D6lG63cnJeKr/d2MrV1OtUd/BhUsA0/F1Lvmt5EJmZGYwZM4yePfvw2mvz+fPPPajVanEXIVQaxQaK/fv3YzAYWLJkCZIk8fcqWoPBwFdffcXTTz9dYY0UHl8Go4k3lp0gNSsfG5WcJS92xLmYo0rvpr95Au3BFcicPLDvNwe5i7fZ1xhNRnZF7Sc46gAKmZzh/gPpWrMTCgsed/pvX3/9BT/++D0gERy8k9dem39Pkk1BqAyKDRShoaGcPHmS1NRUfvrpp39eoFQyadKkimib8Ji7HZ/Fh2sKVjV5utrx3xfNJ+mTJBO6c9vQnd2CwrcR6t4zkdmZ/+BN06az8sov3M6KorVXC4Y1GIirrfWyrsbHxzFu3EjS0goOUOrXbwAffbTUavUJgjUVGyimT5/O9OnTWbduHePGjavINglVwLnwZL7edBmAXm1qMrKb+b0OkjYHzYHlGO9cQtmgI3ZBzyJTmM87din5Kj+HbsQkmZgcMI7W3tZf4v3qq7NIS0vF2dmZ1at/pV69+lavUxCsxeyqp/z8fFatWnXf82LVk1Behy/GsWZXwYFVpZ2PMCbeRLP3WyRNFradJ6Bq0t3syiaD0cAfN7az/84RajnV4LmA8Xjau1ukD0UJCwsjOHgHM2fOYcWKn/nxx++ZOXOO1eoThIoiVj0JFebf+yPentiGur4ln1EtSRL6K8Hkn9yIzLEa9kPeQuFZx2xdKZo0Ptu/nptpkXSt2Ymh/gNQya2Xn2zu3JfZs2cXAGPGjMfT01MECeGxYXbV0+LFiwt/ptPpSElJoXp166RVFh5fuVo9n/92kVuxWahtFSyc0gFXR9sSXyPp8tAeXIEh8ixKv1bYdXsema35jZ8Xkq+wNnQjMpmMKc3+Q0uvQEt14z7nzoXw0kvPo9VqkclkTJ06XSTxEx47Zr9i7dmzh5MnTzJnzhwGDx5MdnY2M2bMYOJEkYtGKJ3Y5Bw+3XiR9Ox82jXx4tn+TbC1KXmlkTElCs2er5Fy0rDtMAZVYF+zQ016k4HNN//iUMwx/JxqMTfoBWSakoPRg7g7iV/NmrX49dffxbGkwmPJ7PbTZcuWMWrUKIKDg2nZsiUHDhxg69atFdE2oZIzmSR2nYrm7RWnycjJZ/rQZrw4pFmJQUKSJHTXDpC39UMwGVAPmo9N835mg0RyXiqfnv2GQzHH6F6rM6+0noaXY8lnVZRXcnIyAF26dMXHx5f589/mzz/3iCAhPLbM3lFIkkSjRo344YcfCAoKwtHRkVJmJheqML3ByNebrnA5IhUPFzteHtnC7PkRkl6L9shqDDdPoqjZDLvuLyBXlzyHAXAu6RLrQn9HJpPxQuBEWngGWKob99DpdEyc+AyhoVd5990PGTp0JLt2HbBKXYLwKDEbKORyOTt27ODIkSPMmzePQ4cOWeXweOHxIUkSC38+S3RiDr7u9nzwXDsU8pJvXg0JN9Ae/AEpOxmbNsOwaTUQmZl8S3qjnj9u/smR2BPUda7NswHjcFe7WbIrhbZu3cT777+FyWRCoVDi6Gg+gAnC48JsoJg3bx5ff/01r776Kp6ennz33Xe89dZbFdE2oRIymkx89cdlohNzaNvYixeHBJSc9dWgIz9kE/pLu5E5eaAeOB+lbyOz9STlJbPiyjpicuLoWTuIIfX6W22H9bBhA4iIuAVAy5atWLFirUi/IVQpZgNFmzZtWL16NbGxsURFRbF+/fqKaJdQCV2NTGPp+gsANK7tajZIGJNvoz3wA6aMOFRNumHbfjQyG/PptkMSzvNL2B8oZUqmNX+WZh5NLNaHoqSnp2NjY8Nnn31Dp05drFqXIDyKzAaKyMhIpk+fTlJSEiaTCTc3N5YtW0b9+mKnqfCP5AxNYZB4qoMfI7oV//6QjAZ057ehO/8nMnsX1P1fRVnL/BJWnVHP7ze2cizuNPVc6jA5YCxudmU7KrQ00tLSeOaZYfTq1Ye5c99k+/ZgkcRPqNLMBooPP/yQ559/nqFDhwLwxx9/8P7779+T/0mo2rJydcz7/gQAM4cF0qph8fsIjGl3Cu4iUqNRNuiEXcexpdobkZCbxIora4nLTaCPX3cG1u1jlaGmL774hFWrfgRg795g5s59UyTxE6o8s4EiNTW1MEgADB8+nNWrV1uzTUIlkpWrY8mv5wGY0K9RsUFCMhnRXdyJ7uxmZLYO2PWZharOE6Wq41T8WdaHb8ZGrmJ6i+do6m5+DqOs7tyJYsKEMaSnF6Q6HzhwCP/3f/+1eD2CUBmZDRRGo5GMjAxcXQtu8dPS0qzeKKFy2H8uhrXB4QAMeNKPbi1rFFnOmBGH9uCPmJIiUNZtg22XicjtzB8QpDPq2BC+hZPxIfi71uXZgLFWy/g6b96rpKen4+Liwpo166lTx3rnUwhCZWM2UIwfP57Ro0fTv39/ZDIZO3bsELuyqzhJkliz6zqHL8YD8HSXugzuVPQHqz7iDNr934PJiF2PF1HWb1+q5dXxuYn8eGUtiblJ9KvTk6fq9LL4UNP169fYvXsHs2e/xooVP7NmzQpefHGGResQhMeBTCrF7rmTJ09y5MgRTCYTXbp0oWNH8+cGVITU1BxMprJv/vP0dCI5OdsKLXp0WbLP7648zZ2kHFwcbXj9mVb4ut8/xyBJJnRnt6A7tw25Zz3suj2Pwq10OcJOxIewIWwzdgpbJgU8Q+NqpTu57t9K6vOcOTM4cGAvAHv2HHls8jOJ93bVUN4+y+Uy3N3LPudW4h3FoUOHiIiIoG3btsydO7fMFxceLzdjM9l+LJI7STl4uapZ9EIH5PL77w4knQbtgeUYos6jatQF284TSnVuhNaQz8bwLZxKOEtD1/pMCngGF1vLbmw7c+YUM2ZMJT+/IInfSy/NemyChCBYS7GBYvny5WzcuJFmzZqxYsUK5s2bx6BBgyqybcIjQpIkfjt4i12nogHo/kQNxvVuiLyIISRTVhKa3V9gyojHtuM4VAG9SjXUFJsTz4or60jKS+apur3pX6cncjM7s8vq0KEDzJ49DYDatf1Yt26jyM8kCKVQbKDYvn07W7ZswdHRkYiICN58880yB4rt27fz3XffYTAYmDhxYrEn5R08eJAPPviA/fv3l631QoVYtPYst2KzsLVR8MHkdni6Fr0pzhBzFc2+bwFQP/UayhpNzV5bkiSOx53mtxtbUSvVzGo1hYZu5k+7K4vExAS8vX3o2rU7vr7VmTx5KiNHjrZoHYLwOCs2UCiVysL14/Xq1SM3N7dMF05MTOSzzz5j06ZN2NjYMGbMGNq3b4+//70fAikpKfz3v2IZ4qPq5+AwbsVmUdfXiQUT2hR5F1FwuNAe8k+uR+7qi7rvbOTO5k+t0xq0/Bq2iZDECzR2a8DEgDE425hfDVVaOp2OMWOGcv16KO+88wHDho1i507xZUQQyqrU9/ZKZdlOBzt+/DgdOnTA1dUVe3t7+vbty65du+4r99ZbbzFjhlhp8ig6HZrIgXOx+Pk48eZ/WhcdJIx6tIdWkn/iF5R+LbEf8lapgsSd7Dj+e+ZLziZeZFC9vkxv+ZxFg8SmTRupX78+16+HolQqcXW1TrJAQagKiv30NxqNZGZmFqYU//fjv/dVFCcpKemeSUIvLy8uXbp0T5mffvqJpk2b0qJF+Q67L8/s/d88PS33oVRZlKXP2w7f4oetV7G3U7JwWidcijiNzpCdTuIfH2OIDce180jcgkaZzfgqSRJ7bh1mzfnfcbR14N3uc2jqVb5VTcUJCgri1q2CJH7t27fnt99+q1LpN8R7u2qoyD4XGyjCw8Pp0KHDPWdPtG/fHgCZTEZoaGiJFzaZTPdMYkqSdM/j8PBwgoODWb16NQkJCeVqvFgeW3pl6fPN2Ex+2HoFta2CRVM6oNPoSNbo7iljykwg76+PkbTZ2PWajrFeW1JSSh6e1Bg0/HL9D84lXaJptUZMaDoaJ5mjxf8WaWnp2Nra8tNPP9GoUQvS0vIsev1HmXhvVw2PzPLY69evl/lid/Px8SEkJKTwcXJyMl5e/wxJ7Nq1i+TkZIYPH45erycpKYmxY8fyyy+/PFC9woOJTMhi8c9nARjdowHODjb3lTGm3UHz18cgSdgPfhOFRx2z143OimHF1XWkadMZUr8/vWp3tdiqpuTkZMaNG0HPnn2YN28BO3bsQ61WV8kPEEGwBsuuP7xLx44dOXHiBGlpaWg0GoKDgwkKCip8ftasWezevZutW7eyfPlyvLy8RJB4yMLvZPDB6hAk4LUxLQlqcf8GOWNSBHnbPwK5AvXgN8wGCUmSOBhzjKVnv8FgMvByqxfp49fdYkFi6dL/0rt3F5KSEgs30KnV5lOVC4JQemWboS4Db29v5syZw4QJE9Dr9YwYMYLmzZszZcoUZs2aRWCg+bTSQsW5cjuVTzdcRC6T8eroFjSpU+2+Moa4UDS7v0Bm54T9gNeRO5e8US1Pr2Hd9d+4kHyFZu5N+E/TUTiqzGeKLY3IyNtMnPgMmZkZAAwePIwPPlhkkWsLgnCvUqXweFSJOYrSK6nPt2IzWfjzWWTAwhc64FPN/r4yhuiLaPZ8jdzZE/VTc5E7lLyKKCrrDiuurCM9P4Mh9fvTs1aQRY/QHTt2BNeuXcHV1Y2ff15PrVp+95URf+eqQfS59Mo7R1Gq+3+tVktYWBiSJKHRaMpcifDoSsnQ8MmGggOHZo9sUWSQ0EecRrP7S+Ru1VEPeqPEICFJEvvvHGHp2W+RkHjliWn0qt3VIkHi2rXLLF1asOdmxYqfmTZtJgcPnigySAiCYDlmA8WFCxfo1asXU6dOJTExkW7dunHu3LmKaJtgZfGpuSzdeBGdzsi0p5vRvL77fWX01w+j3fcdCu/62A+cV2J68Fx9Hssur+GPG9sJcG/MG21nU9fFMh/is2a9yNixI/n551WkpaWhVquZOnW6Ra4tCELJzAaKJUuWsHr1alxdXfHx8WHJkiUsXLiwItomWNGve2+w4IdTJKbl8exTTWjb+P5NcrrLwWgPr0RRIwD1U68is7n/buNvEZlRLD79OddSwxjRYDAvBE7AXlV8+dI6ceIo7dq14PDhg8hkMmbPfo1q1e6fPxEEwXrMTmZrtdp70m507dqVzz77zKqNEqxr44Gb7Am5g41SzmtjWuFf897EeJJkQheyGd357SjrtI6obi0AACAASURBVMau54vFZn81SSb2RR9mW8Qu3GxdebX1S/g517JIO+9O4ufnV5d1634Tx5IKwkNgNlAolUoyMzMLx5gjIiKs3ijBej7beJHLEanU+V9aDqXi3ptKSadBs38ZxugLBSnCu0xCVsyBQTm6XH4O3cCV1Ou09AxkXOMR2KsefGlqfHwcvr7V6dq1OzVq1OT556cydOjIB76uIAjlYzZQTJs2jfHjx5OSksIrr7zCsWPH+OCDDyqibYKF7Tsbw+WIVOr6OvHG+PuDhCkjHk3wl5gyE7HtOJ7/b+/O46Kq2/+PvwYQFHcI0HDXBMVdy31PcQEVcMd9y33pViNQqTu1Mu+s7P6plEspamoEmguoiaaYmEvuKIkCKouisg0MM3N+f/AN5VZZlGHzej4e/TFzZs5cF9Nj3s45Z65PGYeeLzwJHf4ogo2Xt5KsSWZow0F0sW3/yies1Wo1Y8cO5/r1sKwhfnv3HnqlfQohXl2uQdG9e3fq1avHiRMn0Ov1zJgxg/r16xdGbaIAHTh5C9+D1zE3M8HD/dmQ0EaeR314HSpjE8r1X4DJm42eux+9oufQ7aPsiQjEomxV/tVmBrUq1njl+nbs2Mpnny1Fr9djYmKChcWzJ9aFEEUj16B49OgRlStXpl+/ftnuy20ooCg+9p68xc9HMw8ZfuDeijImT0JCURQ05/ag+fMXjCxrUa73LIwqvvHc/SRpkvnxyk9cSQijlXUzRtoPppxJ2Veub8AARyIjbwPwzjvtWLNm/Ws1xE+I4i7XoGjXrt0zhxSsrKw4duyYwYoSBefwmWh+PnqTmjYVmO3aDMvKTz7YlYw00oK/RxvxJyYN2lG2y3hUJs9OiQW48fAmGy9vJUWbynA7Vzq92bbAfkCXnJyMmVlZ1qz5nlat2hTIPoUQBSfXoHh6OKBGo+HXX38lIiLCoEWJghF6NTbrcNPyaZ3ISHsyATZzydJv0D+6g1m7YZRp2ue5H/x6RU/grSPsjQjCytyS6c0nUKPiszOg8iM2NoZRo4bQs2dvPDwWs3fvIZnPJEQxlq/JbKampri6unLixAlD1SMKyJmwONYGXKacmTFLJ7elSsUn3xR0cTdJ+eVj9KkPKdf3X5g26/vckEjUJPHf8+v5NSKQNjYt+KDN7FcOic8/X4ajYzfi4+M5evQIIEP8hCju8nSO4h+KonDp0iUSExMNWpR4NdsP3yDodBQmxio83FtTpUL2kEjd9wUqswqY91/wwtXowhLC2XRlG2qtGnf7wbSv/vYrHWq6efNvxo0bkfX/jovLYLy9l770/oQQhSfP5yj+mR1oaWmJl5eXwQsT+afV6VkbcJmz1+MxNlKxcnrHbOtJZAsJpw+ee9Jar+jZH3GI/bcOY21uxawWk3mzQrVXrm3Rog9ITEykalULtmzZga3tq18pJYQoHLkGxa5du2jSpElh1CJegV5R+Nz3LH/fTaRVQyumDnTIdgls2t3wXEPicXoiGy9v5cajm7St1pphdi6YGT+7cFFeXbx4gcDAfcyf78H69ZvZtm0LEyZMfun9CSGKRq5BsWDBAvbv318YtYhX8O3PF/n7biINa1Zhpmv2tT50cTeJ2b8yx5C4mnCdHy5vJ12XzqhGQ2lf/eWvPtLpdMyePY0TJzKvjJswYQoWFhYSEkKUULkGhZ2dHXv27KF169aYmz8Z8ia/oyg+wiIfcj78PgALR7bMtk0XH0Hqvi8wKVcRs34LnwkJnV7HvoiDBN4+QrXy1sxp8h7Vy9u8dC0nTvzO3LkzyMjQoFKpmDt3gQzxE6KEyzUoDh8+zIEDB7Ldp1KpuHr1qsGKEnl3/5Gaz7eeA+DLmR0xeuqEsy4+gtS9K1CZlaf66I95pMl+ddGj9MdsuLSVvx9H0L762wxtOBDTVzjUFBx8mLlzM0d/161bj82bd8gQPyFKgRcGhUajwdTUlIsXLxZmPSIfktUZLNkQCsCQ7vWzX930VEiYO3lQprI1PLUi1uUHYfx4ZTsafQZjGw/nnWqtXrqOO3eisbWtQbduPalRoxZTpkxjwACXl29MCFGsvPB3FMOGDSvMOkQ+ZWj1zP76d9I0Osb1tadv2ycLBGmjL5G657OskHj6cJNOr8M/fB//76/1VDKtyAdtZr90SKjVagYPdqZ//3fZufMnAH79NUhCQohS5oXfKErwUtqlnl6vsG73ZQCa1LWgS/MnP4LLCD9J2pHvMapSjXJ95mULiYdpj9hw2Zebj2/T8c22DH5rAKYvWGciN1u3buaLLz5FUfSUKVOGatVe/RJaIUTx9MKgSE9P58qVKy8MDAcHB4MVJV5MURTWBFzi7PV42thZMd3lyRVOmguBpP+xDePq9pRznJ1tRbozdy/ybegmtIqW8Q4jaWPT4qVrcHLqTXR0JADt2nXkv//1kSF+QpRiLwyKqKgoZs2a9dygUKlUHD582KCFiWelpmn51u8C1yIfUf/NSkwblPn7FkVR0ITuRPPXPkzqtqFs9ymoTDJPSuv0OgL+3s/hqGPUrPAmE5q4Y21u9Wp1pKZQtmw51qxZT8uWL39uQwhRMrwwKBo0aIC/v39h1iJyoNPrWbH1LJFxybRo8AZTBzpk/mJeryXt6Ea0N05QpnEPzDqMQmWUeerpgfohGy77cisxEscGXelr25syL3Go6d69u4waNZSePXvh6enNgQNHMDV9+aujhBAlS66Xx4riYXNgGJFxybh2qYdThzoAKBnpqA/9F13UBUzbuGDackDWPKa/4i+z+eoOFEVhYpNRODp0JP6pq57yavnyj9mxYxuQ+RsJQEJCiNfMC4OiTRtZF6A40OsVvtr5F5ciEgDo265W5v1pSagPrEIfH4FZ53GYNuoGgFavxT98H0eij1Oroi0THEZhZZ7/1eLCw28wfvxIkpIyw2XIkOF4eX1UID0JIUqWFwbFokWLCrMO8QJ+x25yKSKBGlYVmD+iBcZGRihpyaj3fIo+MY6yvWZSpk5rAO6rH7D+ki+RSdF0q9GRQQ36U8bo5b40LlnyIUlJSVhYWOLru5Pq1V9tvLgQouSSQ0/F2JGz0ez74zb1bSvhOao1KpUKfcpD1PtWon8cRznHOZjUzLzq6VzcRbZc3YlKpWJy0zG0sMr/IMdz585y6NABFizwZP36zWzf7sv48ZMKui0hRAkjQVEM6fUKX++6wMWbDzA2UvHegMwT1/rEeFL3rkBRJ1Ku7/uY2DYmQ5eBX/hejt0JoXalmkx0cMeyXP5mK+l0OmbMmMIff2QuSDVx4lQsLCwkJIQQgARFsXP/sZqPNpwmNV2LkUrF51PbY1GpLLqEO6j3fYGiy8Dc6QOMresRl3qfDZe2EJV8lx41OzOwfl9M8nmo6ejRI8yfP5uMjAxUKhXz53vIED8hRDYSFMWIJkPHlz/9RWq6lt5v12RojwYYqVSZCw7t/w8q4zKYO3+IsUUNzsSeZ+u1nzFSGTG12TiavtE436/39BC/+vUbsGXLTlmWVAjxDIMGxZ49e1izZg1arZaxY8fi7u6ebfuhQ4dYvXo1iqJQo0YNPv30UypXrmzIkoq1jzedJiYhlYn9G9GxaXUAtHevog78GlXZipj3X4C2fFV2XPuZ43dPUbdSbSY0GYlF2ar5ep1btyKoU6cu3br1pFat2kybNou+fZ0M0ZIQohR44VDAVxUbG8uqVavYunUr/v7+/PTTT4SHh2dtT05O5qOPPsLHx4fdu3djZ2fH6tWrDVVOsRYdl8yS9ae49yCV2tUqPgmJ2+dQ7/8PRhUsMB/gyQMTY1ae+Zbjd0/Rq1Y35rWamq+QSE5OxsWlH4MG9WXHjq0A7N4dKCEhhMiRwYIiJCSEdu3aUaVKFczNzXF0dMy2rkVGRgbe3t7Y2GQukmNnZ8e9e/cMVU6xde9BCks2hBIdn8K7bWqweGzm71cyboSgDlqNkUVNzJ09uaV9zMoz3/Io7THTmo1nUIN+GBvlfb7SunXr6Nz5bSIiblKmjCm2tjUN1ZIQopQx2KGnuLg4rKyezBSytrbmwoULWberVq1Kr169AEhLS8PHx4fRo0cbqpxiKSYhNWvRoclOjWnfJHMCq+byYdJPbMG4uh3lHOdw9mEYP17dgYVZFaY1H5/vWU39+7/LnTvRAHTs2JlvvlkrQ/yEEHlmsKDQ6/VZ4yQgc3Dd07f/kZSUxIwZM7C3t8fFJX/rGFhavvzqaVZWFV/6uQXh9r1EPtoQigL8e0p7WtpZoygKj0J+IemEL+ZvtcFq0Dx2hwez7XIA9m/UZ0GnqVQ0y3/PGk065ubmbN++ndatWxd8M8VYUb/PRUF6fj0UZs8GC4pq1arx559/Zt2Oj4/H2to622Pi4uKYOHEi7dq1w9PTM9+v8eBBMnp9/tfNsLKq+FJzjwqKVqdn7qpjaHV65g1tTg2LcsTFJZJ+agcZF/Zj0qA9SudxrP5jKyH3TtPGpgWj7IeQlqiQRu5137kTzejRw+jZsxdeXh+xd+9hbG0tiY9PKtK+C1tRv89FQXp+Pbxsz0ZGqpf6B7bBzlF06NCBkydPkpCQgFqtJigoiC5dumRt1+l0TJ06lb59++Ll5fXcbxulUVRcMjP/LyTaNbahaT1LFL2e9N83kXFhP2Ua90DpPJo1F38k5N5p+tTpybjGI/I89XXpUm/693+XhIQHnDyZ+QM6GeInhHgVBvtGYWNjw7x58xgzZgwZGRkMHjyYZs2aMXnyZGbPnk1MTAxXrlxBp9MRGBgIQJMmTVi2bJmhSipyR8/f4YcDYQA4d6iDS5d6KDotaUd80N4MxbSFE8lNe7Dm7BpiU+MZZT+E9m++nad9h4WFMXGiO8nJyQAMH+6Oh8dig/UihHh9qJQSvOZpSTr0dP+RmoVrTwLw3gAH2ja2QdGoM8eER1/CrO1Q7tVtypoLG9HqtUxuMgY7iwZ53r+7+xAuX76IlZUVW7bsxMYm+9Kk8vX89SA9vx4K+9CT/DK7ECQkpvGp71kAFo5oiX3tquhTH6Hevwp9QhRmXcZz1dKSjWfXUsm0AnNbvke18ja57vfs2T8JCtqPh8diNm70ZefObbi7jzV0O0KI14wEhYFlaPWs3H6eh0npzHZrhn3tquge3UW97z8oaUmU7T2b31WJ+F3cTK1KNZjabByVTHO+mkGn0zFt2kRCQ/8AYMqUGVhYWEhICCEMQoLCgNI0Wj73PUdMQirDezSgxVtvoI25gTrwK1RGxpg5fYDfw4scuxNCC6umjG08DFPjnE88BwcfZv78uWi1GRgZGbFwoZcM8RNCGJQEhQEFhUZxOzaJfu1q0/udWmTcPE3akXWoKlhi3HsW6yODuPTgGj1rdWFQ/X4YqXK+CO3pIX4NG9rxww/bZYifEMLgJCgM5Orth+wJuUUt6woM7lYfzdVg0n/fhJF1fdK7T2Bd2E7upsQw3M6Fzrbtc9zX00P8ateuw7Rps+jTp38hdSKEeN1JUBiAJkPH2oBLAEx2bozmQiDpf2xDVcmahG6jWXtpE2qtmqnNxuNgaffC/SQnJ+PuPoTbtyPw9FzC0KEjCQg48MLHCyGEIUhQFDCtTs+yzWdISs1gTO+GvBGxn/TzezGp24a/m3djw1/fU86kHO+3mk6Nii9eh3rjxu/55pv/oCgKpqam1KxZqxC7EEKIJyQoCpCiKHzrd5GouGQ6N7WhXVIQmrBjlGnUjdA6Ddl5eQu25asxtfl4qpi9eN2Nvn17cO/eXQA6d+7GV1/9V4b4CSGKjARFAfr+1ytc+PsBjWpUZHiZ38gIO4NJCyf2VjXjtxv+NLG0Z7yDO2VNzHLcj0ajwdzcnHXrNtG0abNCql4IIZ5PgqKA+P9+k5OXY6ljVY4ZbxxHe+svVO2GskV1n/NRoXSx7cDgt5yfu4ZEVNRtxowZTs+evVm06GP27/9N5jMJIYoNCYoCsDbgEqFX46hnU455NifQRV5C034Y69PDiUyMZvBbA+hWo+NzBx9+9JEX/v4/A3DqVOaIDwkJIURxIkHxig6ciiT0ahwW5irmWR1HH32Fh+3c+C7pPMmaZCY3HUNzK4dnnnft2hUmThxNSkoKAKNGjWP+fI/CLl8IIXIlQfGS9IrCym3nuBb5iOqVjfnA9iT6u2FEtnVm46PTlDEqw9xWU6ld6flLji5d+hEpKSlYWVmzdevP2VYDFEKI4sRg61GUdt/+fJFrkY94u0ElPnzzBKrYMP56uxdrE0KpYlaZ+a1nPhMSp0+fYvnyjwHYsGELHh6LOXjwmISEEKJYk28UL2HrweucD79PI9tyjCkTiC4unN9aduLgw/PYV32LSU1HUc7kyWgNnU7HlCnjOHPmNABTp87CwsKC4cPdi6oFIYTIMwmKfDr0ZxSHzkRjrkrjvfLHSY+/xS/NWnE2MYwO1d9huJ1LtiubDh4M5MMP/4VWq8XIyIgPP/SWIX5CiBJFgiIf/r77mK2HblC/gppZFkdJffQQ30b23EyJYmC9vvSq3S3blU3BwYdZsGAOAHZ29mzevEOuaBJClDgSFHl0/7Ga/2w/T32TGGaWP04CJmxsWJtHGY+Y4OBOa5vmWY8ND79BgwZv0a1bT+rUqcf06bPo3btvEVYvhBAvT4IiD4JCI9n+Wzidy13HrWIokZWt+cHSFCNFx5yWU6hXuQ4ASUmPGTlyCFFRkXh4LGb4cHf8/fcVbfFCCPGKJChycT78Pjt+u85Q81A6lr3OhVpvscM0GQuzCkxvNhErc0sA1q9fx7fffoWiKJiZmVGvXr0irlwIIQqGBEUOktUZbA4Mw7ncWTqUvc7Rxi3Zr7lDg8p1mdJ0LOXLmAPQp093YmLuAdCtW0+++uq/RVm2EEIUKAmKHCz94U/qp1+hS4Ur+DW047TmDm/btMK90WDKGD3502m1WsqXL8/69Zuxt29chBULIUTBk6B4Af/fb2KTEsagyqfYVPtNwvUP6Ve3F/3qvEt0dCSjRw+jR4/eLFnybwIDg2UMuBCi1JKg+B96vcKqn85hHXsC16rn+K6mFQ9M9IyxH0bb6q1ZvNiDPXv8Afjzz1MAEhJCiFJNguIpj5LT8fIJYYBJCHWr3GRNTWu0ZUyZ2XQs2nupdHBrRWpqKgBjx05g3ryFRVyxEEIYngTF/1EUhTU7TzPeLAiTSvdZZ2tNWbPyzG4+iTcrVMN95hBSU1OxsanGli07ZT6TEOK1IUMB/8/eEzfplbqXtCoP2WBrSRVzS7rTlg1frQFg40ZfPD2XEBgYLCEhhHityDcK4ODpKFL+3E1C9UfstqpE3Uo1uegTws+h3wMwffocLCwsGDp0ZBFXKoQQhe+1DgpFUfhm1wVSb1+gfp1wAiwqYqO3ZNuMdWjTNRgZGbF48ccyxE8I8Vp7rYPi/I37mEWdpHyDqxytVJ66+upsWegDeoVGjRz44YdtMsRPCPHae22D4kH8A+4fXIPmrQdcLG9GX9tO9G/oTEidQ8ye/T7duvUs6hKFEKJYMOjJ7D179tCvXz969+6Nr6/vM9uvXr2Kq6srjo6OeHl5odVqDVlOFkVRCA9YxZ91EggrZ0r4jr9IPPMYlUqFn99eCQkhhHiKwYIiNjaWVatWsXXrVvz9/fnpp58IDw/P9pgFCxawZMkSAgMDURSFHTt2GKqcbC4c+IGAaslEmhhzddNpHp2Lxd6+UaG8thBClDQGC4qQkBDatWtHlSpVMDc3x9HRkQMHDmRtv3PnDmlpabRo0QIAV1fXbNsNJfFBDCv/PkyCsRGX1p6khXVTTp06T6tWbQz+2kIIURIZ7BxFXFxctt8bWFtbc+HChRdut7KyIjY2Nl+vYWlZId91Xb4RQrqlObE/X8PP5ycaN359hvhZWVUs6hIKnfT8epCeDctgQaHX67MtC6ooSrbbuW3PiwcPktHrlXw9x+GtDqx+qwVG72aOCI+PT8rX80sqK6uKr02v/5CeXw/Sc94ZGale6h/YBjv0VK1aNeLj47Nux8fHY21t/cLt9+/fz7bdkGysbArldYQQojQwWFB06NCBkydPkpCQgFqtJigoiC5dumRtt7W1xczMjDNnzgAQEBCQbbsQQojiwWBBYWNjw7x58xgzZgyDBg3CycmJZs2aMXnyZC5evAjAypUr+fTTT+nTpw+pqamMGTPGUOUIIYR4SSpFUfJ3kL8YeZlzFCDHNF8X0vPrQXrOu2J3jkIIIUTpIEEhhBAiRxIUQgghclSihwIaGeXvdxcF9dySSnp+PUjPr4eX6fll/04l+mS2EEIIw5NDT0IIIXIkQSGEECJHEhRCCCFyJEEhhBAiRxIUQgghciRBIYQQIkcSFEIIIXIkQSGEECJHEhRCCCFyVKqDYs+ePfTr14/evXvj6+v7zParV6/i6uqKo6MjXl5eaLXaIqiyYOXW86FDhxg4cCADBgxg+vTpPH78uAiqLFi59fyP4OBgevToUYiVGU5uPd+8eZPRo0czYMAAJk6c+Fq8z5cvX8bNzY0BAwbw3nvvkZiYWARVFqzk5GScnJyIjo5+Zluhfn4ppVRMTIzSvXt35eHDh0pKSori7Oys3LhxI9tj+vfvr5w7d05RFEX58MMPFV9f36IotcDk1nNSUpLSsWNHJSYmRlEURfnqq6+UTz75pKjKLRB5eZ8VRVHi4+OVPn36KN27dy+CKgtWbj3r9Xqld+/eytGjRxVFUZQvvvhCWbFiRVGVWyDy8j6PGDFCCQ4OVhRFUT799FPlyy+/LIpSC8z58+cVJycnxcHBQYmKinpme2F+fpXabxQhISG0a9eOKlWqYG5ujqOjIwcOHMjafufOHdLS0mjRogUArq6u2baXRLn1nJGRgbe3NzY2mWuG29nZce/evaIqt0Dk1vM/Fi1axMyZM4ugwoKXW8+XL1/G3Nw8a2nhqVOn4u7uXlTlFoi8vM96vZ6UlBQA1Go1ZcuWLYpSC8yOHTvw9vbG2tr6mW2F/flVaoMiLi4OKyurrNvW1tbExsa+cLuVlVW27SVRbj1XrVqVXr16AZCWloaPjw/vvvtuoddZkHLrGeDHH3+kcePGNG/evLDLM4jceo6MjOSNN97A09MTFxcXvL29MTc3L4pSC0xe3mcPDw8WLVpEp06dCAkJYfjw4YVdZoFatmwZbdq0ee62wv78KrVBodfrUamejNRVFCXb7dy2l0R57SkpKYkpU6Zgb2+Pi4tLYZZY4HLr+fr16wQFBTF9+vSiKM8gcutZq9USGhrKiBEj+OWXX6hZsyafffZZUZRaYHLrOS0tDS8vLzZt2sTx48cZOXIkH3zwQVGUWigK+/Or1AZFtWrViI+Pz7odHx+f7Svc/26/f//+c7/ilSS59QyZ/xIZOXIkdnZ2LFu2rLBLLHC59XzgwAHi4+Nxc3NjypQpWf2XZLn1bGVlRe3atWnatCkATk5OXLhwodDrLEi59Xz9+nXMzMxo1qwZAMOGDSM0NLTQ6ywshf35VWqDokOHDpw8eZKEhATUajVBQUFZx2wBbG1tMTMz48yZMwAEBARk214S5dazTqdj6tSp9O3bFy8vrxL/DQpy73n27NkEBgYSEBCAj48P1tbWbN26tQgrfnW59dyyZUsSEhK4du0aAL/99hsODg5FVW6ByK3n2rVrExMTw82bNwE4fPhwVlCWRoX++WWw0+TFwO7du5X+/fsrvXv3Vnx8fBRFUZRJkyYpFy5cUBRFUa5evaq4ubkpjo6Oyvvvv6+kp6cXZbkFIqeeg4KCFDs7O2XAgAFZ/3l6ehZxxa8ut/f5H1FRUaXiqidFyb3n8+fPK25ubkq/fv2UCRMmKPfv3y/KcgtEbj0HBwcrzs7OipOTkzJ27FglMjKyKMstMN27d8+66qmoPr9khTshhBA5KrWHnoQQQhQMCQohhBA5kqAQQgiRIwkKIYQQOZKgEEIIkSOToi5AiH/Y2dnRsGFDjIye/PulSZMmOf4w0M/Pj8DAQNatW/fKr7969Wp8fX2xsbFBpVKh0+mwtLTE29ubunXr5nt/sbGxzJkzh+3btxMVFcWKFStYvXp1tvtfVXR0NL169aJhw4ZZ96WmplKtWjWWL19OzZo1c3z+t99+i729fYkf5SIMS4JCFCs//PADFhYWRfb6/fr1Y8mSJVm3N2/ezL/+9S/8/PzyvS8bG5usMLh79y4RERHP3F8QypYtS0BAQNZtRVFYunQpq1at4ssvv8zxuadOnaJBgwYFVosoneTQkygRdu3axZAhQxg0aBDdu3d/7q+rg4KCcHFxwdXVlSFDhnD69Gkgc7aVh4cHrq6uODs7s3z58jzP7m/fvn3WB3xMTAxTp07F2dkZJycnvv/+eyBztpK3tzfOzs64uroye/ZsUlJSiI6OpmXLluh0OhYtWkRkZCQTJ07Mdn/Xrl25dOlS1uvNnTs3q7c1a9bg4uLCwIEDmT59ep6HvqWnpxMXF0flypUBiIiIYPz48QwdOpTu3bszbdo00tPT8fX15dKlS6xYsYKDBw+i0WhYvnw5Li4uDBgwAA8PD5KTk/P0mqJ0k6AQxcrYsWMZOHBg1n8PHjwgJSWFnTt34uPjg7+/P6tWreKLL7545rkrVqzA29sbPz8/5syZw6lTpwBYvnw5Dg4O+Pn54e/vz8OHD9m4cWOutWi1Wnbt2kXbtm0BmD9/Pm3btmXPnj1s27aN3bt3s3fvXs6fP09oaCi7d+/Gz8+PmjVrEhYWlrUfY2Njli5dSq1atVi/fn22+93c3LK+rTx+/JiTJ0/i7OyMv78/169fZ+fOnQQEBNC1a1cWLVr03DrT0tIYOHAgzs7OdOjQARcXF+rVq8f8+fOBzHHVgwYNYseOHQQFBREdHU1wcDDu7u40adKEhQsX0qtXL3x8fDA2NsbPz4/du3djbW3NypUr8/jOidJMDj2JYuVFh57Wrl3L0aNHuXXrFteuXSM1NfWZx/Tv35+ZM2fStWtXOnbsyOTJk4HMqIujggAAA4RJREFUle0uXrzIrl27gMwP1hfZt29f1vycjIwMHBwc+OSTT0hNTeXs2bNs2LABgIoVK+Lq6sqxY8fw8vLC2NiYIUOG0KlTJxwdHWnWrNlzVyX7X25ubgwePBgPDw9+/fVXevToQcWKFTly5AgXL17Ezc0NyJwWqlarn7uPpw89/f777yxYsIDu3btTvnx5ABYsWMCJEyf47rvvuHXrFnFxcc/9+wUHB5OUlERISEhW/5aWlrn2IEo/CQpR7MXExDBs2DCGDh1K69at6dOnD0eOHHnmcfPmzcPNzY0TJ07g5+fHhg0b2LVrF3q9nq+//pr69esDkJiY+MKBiP97juIfycnJ/O+0G71ej1arpVKlSgQEBHD27Fn++OMP5s6dy8SJE+natWuuvdna2tK4cWOCg4Px8/PD09Mza9+TJk3KmnSr0WjytJxp586dGT9+PHPmzGHv3r1UqFCB999/H51OR9++fenWrRv37t17ppd/XtPT0zOr7pSUFNLT03N9TVH6yaEnUexdunQJCwsLpk+fTqdOnbJCQqfTZT1Gq9XSo0cP1Go1I0aMwNvbm7CwMDQaDZ06dWLTpk0oioJGo2HatGls2bIlXzVUqFCB5s2bZ63VnJSUhL+/Px06dODIkSOMGzeOli1bMmvWLAYNGpTtvANkHmbKyMh47r6HDh3Kd999h1qtpnXr1gB06tSJXbt2ZZ0j+Prrr1m4cGGeap0wYQLly5fnm2++AeD48ePMmDGDfv36AfDXX39l/e2MjY2zztd06tQJX19fNBoNer2exYsX53oyXLwe5BuFKPY6duzIrl276NOnDyqVinfeeQcLCwtu376d9RgTExM8PT2ZP38+JiYmqFQqli9fjqmpKV5eXixbtgxnZ2cyMjLo0KEDkyZNyncdK1eu5N///jd+fn5oNJqsk9d6vZ5jx47h5OSEubk5lStX5pNPPsn23AYNGmBmZsbgwYNZtWpVtm09evTg448/zjpUBjBkyBBiY2MZOnQoKpWK6tWr53nxoTJlyrB48WImTZrE4MGDmTdvHjNmzMDc3JwKFSrw9ttvExkZmfXaX375JRkZGUyfPp3PP/8cFxcXdDodjRo1wsPDI99/J1H6yPRYIYQQOZJDT0IIIXIkQSGEECJHEhRCCCFyJEEhhBAiRxIUQgghciRBIYQQIkcSFEIIIXIkQSGEECJH/x9OYpXU3wiAsAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ROC curves\n",
    "for model in [xgc, rfc, knn]:\n",
    "    fpr, tpr, thresholds = roc_curve(y_test, model.predict_proba(X_test)[:,1])\n",
    "    plt.plot([0, 1], [0, 1], 'k--')\n",
    "    plt.plot(fpr, tpr)\n",
    "    \n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('ROC Curves')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Facebook Popularity: Round 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we can add the averaged probabilities that each article is a dud to help out the regressor\n",
    "averaged_probs = (xgc.predict_proba(X)[:, 1] +\n",
    "                  knn.predict_proba(X)[:, 1] + \n",
    "                  rfc.predict_proba(X)[:, 1]) / 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 2 folds for each of 9 candidates, totalling 18 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=5)]: Using backend LokyBackend with 5 concurrent workers.\n",
      "[Parallel(n_jobs=5)]: Done  18 out of  18 | elapsed:  1.5min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.032297286141127646\n",
      "{'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, 'n_estimators': 250, 'nthread': 4, 'objective': 'reg:linear', 'silent': 1, 'subsample': 0.7}\n"
     ]
    }
   ],
   "source": [
    "X['prob_dud'] = averaged_probs\n",
    "y = fb_data_only_df['Facebook']\n",
    "\n",
    "# Reinitialize the train_test_split since we've changed back to regression\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 10)\n",
    "\n",
    "# Another round of hyperparameter tuning\n",
    "xgb1 = xgb.XGBRegressor()\n",
    "parameters = {'nthread':[4], \n",
    "              'objective':['reg:linear'],\n",
    "              'learning_rate': [.03, .05, .07], \n",
    "              'max_depth': [5, 6, 7],\n",
    "              'min_child_weight': [4],\n",
    "              'silent': [1],\n",
    "              'subsample': [0.7],\n",
    "              'colsample_bytree': [0.7],\n",
    "              'n_estimators': [250]}\n",
    "\n",
    "xgb_grid = GridSearchCV(xgb1,\n",
    "                        parameters,\n",
    "                        cv = 2,\n",
    "                        n_jobs = 5,\n",
    "                        verbose=True)\n",
    "\n",
    "xgb_grid.fit(X_train, y_train)\n",
    "\n",
    "print(xgb_grid.best_score_)\n",
    "print(xgb_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "       colsample_bytree=0.7, gamma=0, learning_rate=0.03, max_delta_step=0,\n",
       "       max_depth=5, min_child_weight=4, missing=None, n_estimators=250,\n",
       "       n_jobs=1, nthread=4, objective='reg:linear', random_state=2,\n",
       "       reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, silent=1,\n",
       "       subsample=0.7)"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = {'colsample_bytree': 0.7, 'learning_rate': 0.03, 'max_depth': 5, 'min_child_weight': 4, \n",
    "          'n_estimators': 250, 'nthread': 4, 'objective': 'reg:linear', 'silent': 1, 'subsample': 0.7}\n",
    "\n",
    "# Try again with new params\n",
    "xgr = xgb.XGBRegressor(random_state=2, **params)\n",
    "\n",
    "# Fit the classifier to the training set\n",
    "xgr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "314551.5939678392"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = xgr.predict(X_test)\n",
    "\n",
    "mean_squared_error(y_test, y_pred)\n",
    "\n",
    "# Oops...the performance is essentially the same as it was before any model stacking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model weight for feature 0: 0.04595760628581047\n",
      "Model weight for feature 1: 0.03413993492722511\n",
      "Model weight for feature 2: 0.02532357908785343\n",
      "Model weight for feature 3: 0.054211217910051346\n",
      "Model weight for feature 4: 0.02626148983836174\n",
      "Model weight for feature 5: 0.05233539640903473\n",
      "Model weight for feature 6: 0.03245169669389725\n",
      "Model weight for feature 7: 0.038829486817121506\n",
      "Model weight for feature 8: 0.035453010350465775\n",
      "Model weight for feature 9: 0.035453010350465775\n",
      "Model weight for feature 10: 0.08291127532720566\n",
      "Model weight for feature 11: 0.03901707008481026\n",
      "Model weight for feature 12: 0.0438942052423954\n",
      "Model weight for feature 13: 0.028887638822197914\n",
      "Model weight for feature 14: 0.03413993492722511\n",
      "Model weight for feature SentimentTitle: 0.027949728071689606\n",
      "Model weight for feature SentimentHeadline: 0.048583757132291794\n",
      "Model weight for feature Topic_economy: 0.006565372459590435\n",
      "Model weight for feature Topic_microsoft: 0.008441193029284477\n",
      "Model weight for feature Topic_obama: 0.0380791611969471\n",
      "Model weight for feature Topic_palestine: 0.0060026259161531925\n",
      "Model weight for feature StandardizedDays: 0.07840930670499802\n",
      "Model weight for feature prob_dud: 0.17670230567455292\n"
     ]
    }
   ],
   "source": [
    "for feature, importance in zip(list(X.columns), xgr.feature_importances_):\n",
    "    print('Model weight for feature {}: {}'.format(feature, importance))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can at least claim one victory: the model thought that `prob_dud` was the most important feature! "
   ]
  }
 ],
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