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FuriouslyCurious/Tpot Test-2.ipynb

Last active August 15, 2016 00:43
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Tpot Test-2.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import time\n",
"from tqdm import *\n",
"from tpot import TPOT\n",
"import autosklearn.classification\n",
"import sklearn.datasets\n",
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.cross_validation import train_test_split"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>imagenum</th>\n",
" <th>Male</th>\n",
" <th>Asian</th>\n",
" <th>White</th>\n",
" <th>Black</th>\n",
" <th>Baby</th>\n",
" <th>Child</th>\n",
" <th>Youth</th>\n",
" <th>Middle Aged</th>\n",
" <th>...</th>\n",
" <th>Pale Skin</th>\n",
" <th>5 o' Clock Shadow</th>\n",
" <th>Strong Nose-Mouth Lines</th>\n",
" <th>Wearing Lipstick</th>\n",
" <th>Flushed Face</th>\n",
" <th>High Cheekbones</th>\n",
" <th>Brown Eyes</th>\n",
" <th>Wearing Earrings</th>\n",
" <th>Wearing Necktie</th>\n",
" <th>Wearing Necklace</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Aaron Eckhart</td>\n",
" <td>1</td>\n",
" <td>1.568346</td>\n",
" <td>-1.889043</td>\n",
" <td>1.737203</td>\n",
" <td>-0.929729</td>\n",
" <td>-1.471799</td>\n",
" <td>-0.195580</td>\n",
" <td>-0.835609</td>\n",
" <td>-0.351468</td>\n",
" <td>...</td>\n",
" <td>0.361738</td>\n",
" <td>1.166118</td>\n",
" <td>-1.164916</td>\n",
" <td>-1.139990</td>\n",
" <td>-2.371746</td>\n",
" <td>-1.299932</td>\n",
" <td>-0.414682</td>\n",
" <td>-1.144902</td>\n",
" <td>0.694007</td>\n",
" <td>-0.826609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Aaron Guiel</td>\n",
" <td>1</td>\n",
" <td>0.169851</td>\n",
" <td>-0.982408</td>\n",
" <td>0.422709</td>\n",
" <td>-1.282184</td>\n",
" <td>-1.360060</td>\n",
" <td>-0.867002</td>\n",
" <td>-0.452293</td>\n",
" <td>-0.197521</td>\n",
" <td>...</td>\n",
" <td>-0.832036</td>\n",
" <td>-0.397680</td>\n",
" <td>0.874160</td>\n",
" <td>-0.945431</td>\n",
" <td>-0.268649</td>\n",
" <td>-0.006244</td>\n",
" <td>-0.030406</td>\n",
" <td>-0.480128</td>\n",
" <td>0.666760</td>\n",
" <td>-0.496559</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Aaron Patterson</td>\n",
" <td>1</td>\n",
" <td>0.997749</td>\n",
" <td>-1.364195</td>\n",
" <td>-0.157377</td>\n",
" <td>-0.756447</td>\n",
" <td>-1.891825</td>\n",
" <td>-0.871526</td>\n",
" <td>-0.862893</td>\n",
" <td>0.031445</td>\n",
" <td>...</td>\n",
" <td>1.549743</td>\n",
" <td>1.884745</td>\n",
" <td>-0.999765</td>\n",
" <td>-1.359858</td>\n",
" <td>-1.912108</td>\n",
" <td>-1.095634</td>\n",
" <td>0.915126</td>\n",
" <td>-0.572332</td>\n",
" <td>0.144262</td>\n",
" <td>-0.841231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Aaron Peirsol</td>\n",
" <td>1</td>\n",
" <td>1.122719</td>\n",
" <td>-1.997799</td>\n",
" <td>1.916144</td>\n",
" <td>-2.514214</td>\n",
" <td>-2.580071</td>\n",
" <td>-1.404239</td>\n",
" <td>0.057551</td>\n",
" <td>0.000196</td>\n",
" <td>...</td>\n",
" <td>0.567822</td>\n",
" <td>-0.176089</td>\n",
" <td>1.108125</td>\n",
" <td>-1.600944</td>\n",
" <td>-3.264613</td>\n",
" <td>0.813418</td>\n",
" <td>0.308631</td>\n",
" <td>-0.848693</td>\n",
" <td>0.475941</td>\n",
" <td>-0.447025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Aaron Peirsol</td>\n",
" <td>2</td>\n",
" <td>1.078214</td>\n",
" <td>-2.008098</td>\n",
" <td>1.676211</td>\n",
" <td>-2.278056</td>\n",
" <td>-2.651845</td>\n",
" <td>-1.348408</td>\n",
" <td>0.649089</td>\n",
" <td>0.017656</td>\n",
" <td>...</td>\n",
" <td>-1.461474</td>\n",
" <td>-0.955283</td>\n",
" <td>0.119113</td>\n",
" <td>-1.128176</td>\n",
" <td>-3.161048</td>\n",
" <td>0.082680</td>\n",
" <td>-0.439614</td>\n",
" <td>-0.359859</td>\n",
" <td>-0.760774</td>\n",
" <td>-0.410152</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Aaron Peirsol</td>\n",
" <td>3</td>\n",
" <td>0.850491</td>\n",
" <td>-1.482081</td>\n",
" <td>1.908517</td>\n",
" <td>-1.873645</td>\n",
" <td>-3.229934</td>\n",
" <td>-0.864006</td>\n",
" <td>0.313820</td>\n",
" <td>-0.352680</td>\n",
" <td>...</td>\n",
" <td>1.775471</td>\n",
" <td>-1.063505</td>\n",
" <td>1.354345</td>\n",
" <td>-0.960133</td>\n",
" <td>-5.354640</td>\n",
" <td>1.150018</td>\n",
" <td>-0.142195</td>\n",
" <td>-0.672725</td>\n",
" <td>0.886694</td>\n",
" <td>-0.154051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Aaron Peirsol</td>\n",
" <td>4</td>\n",
" <td>0.944548</td>\n",
" <td>-1.377224</td>\n",
" <td>1.299056</td>\n",
" <td>-1.405336</td>\n",
" <td>-1.862326</td>\n",
" <td>-0.502664</td>\n",
" <td>-0.486290</td>\n",
" <td>0.015002</td>\n",
" <td>...</td>\n",
" <td>0.155763</td>\n",
" <td>-0.033326</td>\n",
" <td>-0.869705</td>\n",
" <td>-0.942216</td>\n",
" <td>-3.776152</td>\n",
" <td>-1.028302</td>\n",
" <td>0.099285</td>\n",
" <td>-0.335493</td>\n",
" <td>0.185644</td>\n",
" <td>-0.671966</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Aaron Pena</td>\n",
" <td>1</td>\n",
" <td>1.594671</td>\n",
" <td>-1.504431</td>\n",
" <td>0.441401</td>\n",
" <td>-1.771746</td>\n",
" <td>-2.449850</td>\n",
" <td>-1.105967</td>\n",
" <td>-0.042591</td>\n",
" <td>-0.136437</td>\n",
" <td>...</td>\n",
" <td>-3.258026</td>\n",
" <td>0.128691</td>\n",
" <td>-1.573239</td>\n",
" <td>-1.102139</td>\n",
" <td>-1.123913</td>\n",
" <td>-1.394168</td>\n",
" <td>1.520652</td>\n",
" <td>-0.487475</td>\n",
" <td>0.601968</td>\n",
" <td>-0.617698</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Aaron Sorkin</td>\n",
" <td>1</td>\n",
" <td>0.286489</td>\n",
" <td>-1.903507</td>\n",
" <td>0.697239</td>\n",
" <td>-1.859854</td>\n",
" <td>-1.440250</td>\n",
" <td>-1.552425</td>\n",
" <td>0.102555</td>\n",
" <td>-0.191471</td>\n",
" <td>...</td>\n",
" <td>-1.417845</td>\n",
" <td>-0.483956</td>\n",
" <td>0.717483</td>\n",
" <td>-0.288405</td>\n",
" <td>-2.295450</td>\n",
" <td>0.937971</td>\n",
" <td>1.233072</td>\n",
" <td>-0.632812</td>\n",
" <td>0.009995</td>\n",
" <td>-0.144265</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Aaron Sorkin</td>\n",
" <td>2</td>\n",
" <td>0.663497</td>\n",
" <td>-1.036937</td>\n",
" <td>0.461610</td>\n",
" <td>-2.498530</td>\n",
" <td>-2.815927</td>\n",
" <td>-1.637794</td>\n",
" <td>-0.201480</td>\n",
" <td>-0.134941</td>\n",
" <td>...</td>\n",
" <td>1.432911</td>\n",
" <td>0.771419</td>\n",
" <td>1.595485</td>\n",
" <td>-0.697505</td>\n",
" <td>-2.511975</td>\n",
" <td>0.981240</td>\n",
" <td>0.424768</td>\n",
" <td>-0.518236</td>\n",
" <td>-0.306921</td>\n",
" <td>0.348492</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Aaron Tippin</td>\n",
" <td>1</td>\n",
" <td>1.910970</td>\n",
" <td>-1.489192</td>\n",
" <td>0.620388</td>\n",
" <td>-1.161901</td>\n",
" <td>-1.145466</td>\n",
" <td>-1.546641</td>\n",
" <td>-1.553562</td>\n",
" <td>0.206915</td>\n",
" <td>...</td>\n",
" <td>0.661369</td>\n",
" <td>2.818243</td>\n",
" <td>0.363108</td>\n",
" <td>-2.176113</td>\n",
" <td>-1.299297</td>\n",
" <td>-1.291467</td>\n",
" <td>1.884040</td>\n",
" <td>-1.405784</td>\n",
" <td>0.770559</td>\n",
" <td>-1.185578</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Abba Eban</td>\n",
" <td>1</td>\n",
" <td>0.891376</td>\n",
" <td>-0.438415</td>\n",
" <td>-0.091453</td>\n",
" <td>-1.738903</td>\n",
" <td>-1.024990</td>\n",
" <td>-1.464063</td>\n",
" <td>-0.720319</td>\n",
" <td>-0.660456</td>\n",
" <td>...</td>\n",
" <td>1.294854</td>\n",
" <td>-0.470484</td>\n",
" <td>0.806376</td>\n",
" <td>-1.021146</td>\n",
" <td>1.071033</td>\n",
" <td>0.008474</td>\n",
" <td>0.441745</td>\n",
" <td>-0.575209</td>\n",
" <td>0.428245</td>\n",
" <td>0.049420</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Abbas Kiarostami</td>\n",
" <td>1</td>\n",
" <td>0.871570</td>\n",
" <td>-1.516176</td>\n",
" <td>0.641716</td>\n",
" <td>-2.134192</td>\n",
" <td>-1.691434</td>\n",
" <td>-0.257611</td>\n",
" <td>0.302173</td>\n",
" <td>-0.269922</td>\n",
" <td>...</td>\n",
" <td>-0.470041</td>\n",
" <td>-0.737105</td>\n",
" <td>-0.286789</td>\n",
" <td>-0.662353</td>\n",
" <td>-1.870350</td>\n",
" <td>-0.616946</td>\n",
" <td>0.224201</td>\n",
" <td>-0.411927</td>\n",
" <td>-0.164780</td>\n",
" <td>0.400568</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Abdel Aziz Al-Hakim</td>\n",
" <td>1</td>\n",
" <td>1.239393</td>\n",
" <td>-1.329086</td>\n",
" <td>-0.188062</td>\n",
" <td>-1.381471</td>\n",
" <td>-2.025667</td>\n",
" <td>-0.881739</td>\n",
" <td>-0.947920</td>\n",
" <td>-0.182150</td>\n",
" <td>...</td>\n",
" <td>-0.106571</td>\n",
" <td>2.492902</td>\n",
" <td>-0.252225</td>\n",
" <td>-1.325914</td>\n",
" <td>-4.642901</td>\n",
" <td>-1.059536</td>\n",
" <td>1.291972</td>\n",
" <td>-0.911307</td>\n",
" <td>0.430227</td>\n",
" <td>-0.903648</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Abdel Madi Shabneh</td>\n",
" <td>1</td>\n",
" <td>2.439147</td>\n",
" <td>-2.066418</td>\n",
" <td>0.307686</td>\n",
" <td>-1.581523</td>\n",
" <td>-2.393414</td>\n",
" <td>-0.766555</td>\n",
" <td>-0.639659</td>\n",
" <td>-0.368661</td>\n",
" <td>...</td>\n",
" <td>2.899042</td>\n",
" <td>1.177874</td>\n",
" <td>-0.934873</td>\n",
" <td>-1.881292</td>\n",
" <td>-5.658690</td>\n",
" <td>-1.529281</td>\n",
" <td>-2.435381</td>\n",
" <td>-1.044854</td>\n",
" <td>0.195659</td>\n",
" <td>-0.790428</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Abdel Nasser Assidi</td>\n",
" <td>1</td>\n",
" <td>1.404558</td>\n",
" <td>-1.638829</td>\n",
" <td>-0.800497</td>\n",
" <td>-1.255397</td>\n",
" <td>-1.969022</td>\n",
" <td>-1.193883</td>\n",
" <td>-1.051376</td>\n",
" <td>0.177450</td>\n",
" <td>...</td>\n",
" <td>-1.072084</td>\n",
" <td>2.096320</td>\n",
" <td>-1.164950</td>\n",
" <td>-1.137972</td>\n",
" <td>-1.635058</td>\n",
" <td>-0.838415</td>\n",
" <td>0.950734</td>\n",
" <td>-0.773626</td>\n",
" <td>0.495969</td>\n",
" <td>-0.238041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Abdel Nasser Assidi</td>\n",
" <td>2</td>\n",
" <td>2.487958</td>\n",
" <td>-1.680567</td>\n",
" <td>-1.280125</td>\n",
" <td>-1.209785</td>\n",
" <td>-2.127416</td>\n",
" <td>-1.055648</td>\n",
" <td>-0.848815</td>\n",
" <td>-0.016430</td>\n",
" <td>...</td>\n",
" <td>-1.680411</td>\n",
" <td>2.470447</td>\n",
" <td>-0.920717</td>\n",
" <td>-1.072601</td>\n",
" <td>-0.168948</td>\n",
" <td>-0.932073</td>\n",
" <td>1.253161</td>\n",
" <td>-1.151044</td>\n",
" <td>-0.270534</td>\n",
" <td>-0.484823</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Abdoulaye Wade</td>\n",
" <td>1</td>\n",
" <td>1.025040</td>\n",
" <td>-0.879031</td>\n",
" <td>-1.930782</td>\n",
" <td>1.994128</td>\n",
" <td>-2.142767</td>\n",
" <td>-1.107014</td>\n",
" <td>-0.999328</td>\n",
" <td>-0.231514</td>\n",
" <td>...</td>\n",
" <td>-3.579026</td>\n",
" <td>0.355360</td>\n",
" <td>0.393372</td>\n",
" <td>-1.259175</td>\n",
" <td>-4.105325</td>\n",
" <td>-0.325684</td>\n",
" <td>0.418753</td>\n",
" <td>-0.837375</td>\n",
" <td>0.575984</td>\n",
" <td>-0.888422</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>Abdoulaye Wade</td>\n",
" <td>2</td>\n",
" <td>1.398445</td>\n",
" <td>-0.823923</td>\n",
" <td>-0.603756</td>\n",
" <td>1.437330</td>\n",
" <td>-2.938700</td>\n",
" <td>-1.543873</td>\n",
" <td>-0.465201</td>\n",
" <td>-0.406288</td>\n",
" <td>...</td>\n",
" <td>-2.609074</td>\n",
" <td>0.696207</td>\n",
" <td>0.825722</td>\n",
" <td>-1.112926</td>\n",
" <td>-2.898265</td>\n",
" <td>0.719459</td>\n",
" <td>1.308871</td>\n",
" <td>-0.745990</td>\n",
" <td>0.571708</td>\n",
" <td>-0.072810</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Abdoulaye Wade</td>\n",
" <td>3</td>\n",
" <td>0.012833</td>\n",
" <td>-1.004662</td>\n",
" <td>0.561337</td>\n",
" <td>-1.656271</td>\n",
" <td>-1.070262</td>\n",
" <td>-0.005744</td>\n",
" <td>-1.407828</td>\n",
" <td>-0.517410</td>\n",
" <td>...</td>\n",
" <td>-0.555133</td>\n",
" <td>0.013287</td>\n",
" <td>-0.062311</td>\n",
" <td>-0.382304</td>\n",
" <td>-2.384780</td>\n",
" <td>-0.985572</td>\n",
" <td>1.095939</td>\n",
" <td>-0.519191</td>\n",
" <td>-1.186807</td>\n",
" <td>-1.194916</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Abdoulaye Wade</td>\n",
" <td>4</td>\n",
" <td>1.213855</td>\n",
" <td>-1.296853</td>\n",
" <td>-1.132711</td>\n",
" <td>0.963420</td>\n",
" <td>-1.809558</td>\n",
" <td>-0.981382</td>\n",
" <td>-0.690479</td>\n",
" <td>-0.456392</td>\n",
" <td>...</td>\n",
" <td>-3.724544</td>\n",
" <td>0.340418</td>\n",
" <td>0.612166</td>\n",
" <td>-1.125110</td>\n",
" <td>-2.916790</td>\n",
" <td>0.295672</td>\n",
" <td>0.690055</td>\n",
" <td>-0.755771</td>\n",
" <td>0.887979</td>\n",
" <td>-0.510048</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>Abdulaziz Kamilov</td>\n",
" <td>1</td>\n",
" <td>0.752833</td>\n",
" <td>-1.244790</td>\n",
" <td>0.027248</td>\n",
" <td>-2.236982</td>\n",
" <td>-2.803701</td>\n",
" <td>-1.779229</td>\n",
" <td>-1.937288</td>\n",
" <td>-0.135501</td>\n",
" <td>...</td>\n",
" <td>-0.782594</td>\n",
" <td>-0.690846</td>\n",
" <td>0.767847</td>\n",
" <td>-0.763919</td>\n",
" <td>-1.079922</td>\n",
" <td>-0.710393</td>\n",
" <td>0.549322</td>\n",
" <td>-0.996368</td>\n",
" <td>1.198094</td>\n",
" <td>-1.010391</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Abdullah</td>\n",
" <td>1</td>\n",
" <td>0.459444</td>\n",
" <td>-1.555999</td>\n",
" <td>0.743300</td>\n",
" <td>-1.827666</td>\n",
" <td>-1.776433</td>\n",
" <td>-0.958247</td>\n",
" <td>-0.427366</td>\n",
" <td>0.105498</td>\n",
" <td>...</td>\n",
" <td>0.663637</td>\n",
" <td>0.724282</td>\n",
" <td>-1.185018</td>\n",
" <td>-0.809677</td>\n",
" <td>-2.555355</td>\n",
" <td>-1.429900</td>\n",
" <td>0.576748</td>\n",
" <td>-0.499286</td>\n",
" <td>0.294020</td>\n",
" <td>-0.322506</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>Abdullah</td>\n",
" <td>2</td>\n",
" <td>0.230796</td>\n",
" <td>-1.168339</td>\n",
" <td>0.201489</td>\n",
" <td>-2.772350</td>\n",
" <td>-0.940149</td>\n",
" <td>-0.831505</td>\n",
" <td>-0.709910</td>\n",
" <td>-0.220148</td>\n",
" <td>...</td>\n",
" <td>-1.206320</td>\n",
" <td>0.161079</td>\n",
" <td>-0.396865</td>\n",
" <td>-0.731781</td>\n",
" <td>0.220867</td>\n",
" <td>-0.675454</td>\n",
" <td>-0.112165</td>\n",
" <td>-0.281566</td>\n",
" <td>0.129100</td>\n",
" <td>0.528412</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Abdullah</td>\n",
" <td>3</td>\n",
" <td>1.638943</td>\n",
" <td>-1.932415</td>\n",
" <td>0.246645</td>\n",
" <td>-2.873324</td>\n",
" <td>-3.117014</td>\n",
" <td>-1.526177</td>\n",
" <td>-0.158987</td>\n",
" <td>0.336587</td>\n",
" <td>...</td>\n",
" <td>-1.436112</td>\n",
" <td>1.170450</td>\n",
" <td>-0.665181</td>\n",
" <td>-0.922192</td>\n",
" <td>-2.254709</td>\n",
" <td>-0.721276</td>\n",
" <td>0.875660</td>\n",
" <td>-0.970863</td>\n",
" <td>1.280299</td>\n",
" <td>-0.381012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>Abdullah</td>\n",
" <td>4</td>\n",
" <td>0.713524</td>\n",
" <td>-1.176608</td>\n",
" <td>0.126218</td>\n",
" <td>-2.165194</td>\n",
" <td>-0.724083</td>\n",
" <td>-0.754611</td>\n",
" <td>-0.195100</td>\n",
" <td>-0.265606</td>\n",
" <td>...</td>\n",
" <td>-0.717086</td>\n",
" <td>0.904685</td>\n",
" <td>-0.042953</td>\n",
" <td>-1.583960</td>\n",
" <td>-0.988304</td>\n",
" <td>-1.213497</td>\n",
" <td>1.361739</td>\n",
" <td>-1.020137</td>\n",
" <td>0.379289</td>\n",
" <td>-0.774598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>Abdullah Ahmad Badawi</td>\n",
" <td>1</td>\n",
" <td>1.898225</td>\n",
" <td>1.083393</td>\n",
" <td>-1.228515</td>\n",
" <td>-1.416314</td>\n",
" <td>-2.757574</td>\n",
" <td>-1.101172</td>\n",
" <td>-0.470595</td>\n",
" <td>-0.218677</td>\n",
" <td>...</td>\n",
" <td>-0.851258</td>\n",
" <td>-0.042062</td>\n",
" <td>0.769485</td>\n",
" <td>-1.109986</td>\n",
" <td>1.392389</td>\n",
" <td>0.856509</td>\n",
" <td>1.973012</td>\n",
" <td>-1.037368</td>\n",
" <td>0.694004</td>\n",
" <td>-0.928776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Abdullah al-Attiyah</td>\n",
" <td>1</td>\n",
" <td>0.141659</td>\n",
" <td>-1.006979</td>\n",
" <td>-0.040179</td>\n",
" <td>-0.609714</td>\n",
" <td>-1.160548</td>\n",
" <td>-0.177111</td>\n",
" <td>-0.272880</td>\n",
" <td>-0.405402</td>\n",
" <td>...</td>\n",
" <td>0.568943</td>\n",
" <td>0.179642</td>\n",
" <td>0.239705</td>\n",
" <td>-0.307465</td>\n",
" <td>3.108659</td>\n",
" <td>-0.400680</td>\n",
" <td>0.419008</td>\n",
" <td>-0.385539</td>\n",
" <td>0.146054</td>\n",
" <td>-0.811116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>Abdullah al-Attiyah</td>\n",
" <td>2</td>\n",
" <td>1.161440</td>\n",
" <td>-2.049056</td>\n",
" <td>0.016479</td>\n",
" <td>-0.269650</td>\n",
" <td>-1.720492</td>\n",
" <td>-0.534286</td>\n",
" <td>-0.842931</td>\n",
" <td>-0.210453</td>\n",
" <td>...</td>\n",
" <td>-2.014643</td>\n",
" <td>1.104385</td>\n",
" <td>-0.114984</td>\n",
" <td>-0.245829</td>\n",
" <td>0.310305</td>\n",
" <td>-0.306685</td>\n",
" <td>1.823515</td>\n",
" <td>-0.169621</td>\n",
" <td>0.607752</td>\n",
" <td>-0.165595</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>Abdullah al-Attiyah</td>\n",
" <td>3</td>\n",
" <td>1.014199</td>\n",
" <td>-1.804330</td>\n",
" <td>-0.208414</td>\n",
" <td>-1.152197</td>\n",
" <td>-2.347451</td>\n",
" <td>-0.552291</td>\n",
" <td>-0.642810</td>\n",
" <td>-0.185219</td>\n",
" <td>...</td>\n",
" <td>-0.470820</td>\n",
" <td>-0.083221</td>\n",
" <td>-0.307536</td>\n",
" <td>-0.810960</td>\n",
" <td>-0.013695</td>\n",
" <td>-0.240712</td>\n",
" <td>0.340339</td>\n",
" <td>-0.507489</td>\n",
" <td>-0.109759</td>\n",
" <td>-0.865855</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>Adam Sandler</td>\n",
" <td>2</td>\n",
" <td>0.960743</td>\n",
" <td>-1.611045</td>\n",
" <td>-0.005180</td>\n",
" <td>-0.859116</td>\n",
" <td>-1.447718</td>\n",
" <td>-0.596475</td>\n",
" <td>-0.590755</td>\n",
" <td>0.068427</td>\n",
" <td>...</td>\n",
" <td>-0.960656</td>\n",
" <td>1.367942</td>\n",
" <td>-1.126018</td>\n",
" <td>-1.478324</td>\n",
" <td>-1.353747</td>\n",
" <td>-1.156388</td>\n",
" <td>0.398824</td>\n",
" <td>-0.870123</td>\n",
" <td>-0.074762</td>\n",
" <td>-0.899611</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>Adam Sandler</td>\n",
" <td>3</td>\n",
" <td>0.711124</td>\n",
" <td>-0.976575</td>\n",
" <td>0.377536</td>\n",
" <td>-2.951360</td>\n",
" <td>-2.006352</td>\n",
" <td>-0.817132</td>\n",
" <td>-0.143775</td>\n",
" <td>-0.299348</td>\n",
" <td>...</td>\n",
" <td>0.711657</td>\n",
" <td>0.468800</td>\n",
" <td>-1.238078</td>\n",
" <td>-1.259480</td>\n",
" <td>-3.970510</td>\n",
" <td>-1.081902</td>\n",
" <td>0.537394</td>\n",
" <td>-0.640155</td>\n",
" <td>-0.102008</td>\n",
" <td>-0.950959</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>Adam Sandler</td>\n",
" <td>4</td>\n",
" <td>1.258382</td>\n",
" <td>-0.900011</td>\n",
" <td>0.233962</td>\n",
" <td>-2.396206</td>\n",
" <td>-1.656958</td>\n",
" <td>-1.001092</td>\n",
" <td>-0.004549</td>\n",
" <td>-0.273449</td>\n",
" <td>...</td>\n",
" <td>-1.872722</td>\n",
" <td>0.140217</td>\n",
" <td>-0.558030</td>\n",
" <td>-1.425706</td>\n",
" <td>-3.962661</td>\n",
" <td>-1.381692</td>\n",
" <td>0.291308</td>\n",
" <td>-0.862271</td>\n",
" <td>0.071294</td>\n",
" <td>-0.126719</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>Adam Scott</td>\n",
" <td>1</td>\n",
" <td>0.939057</td>\n",
" <td>-0.400515</td>\n",
" <td>-0.314256</td>\n",
" <td>-2.017519</td>\n",
" <td>-1.413213</td>\n",
" <td>-0.065480</td>\n",
" <td>-0.443729</td>\n",
" <td>-0.645220</td>\n",
" <td>...</td>\n",
" <td>-6.088279</td>\n",
" <td>-0.053308</td>\n",
" <td>-0.374793</td>\n",
" <td>-0.741705</td>\n",
" <td>-1.364770</td>\n",
" <td>-0.664691</td>\n",
" <td>1.165037</td>\n",
" <td>-0.301658</td>\n",
" <td>-0.744314</td>\n",
" <td>-0.951048</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>Adam Scott</td>\n",
" <td>2</td>\n",
" <td>1.097407</td>\n",
" <td>-0.671879</td>\n",
" <td>0.649947</td>\n",
" <td>-1.659793</td>\n",
" <td>-1.631819</td>\n",
" <td>0.162380</td>\n",
" <td>0.260933</td>\n",
" <td>-0.659276</td>\n",
" <td>...</td>\n",
" <td>1.153287</td>\n",
" <td>-0.428521</td>\n",
" <td>-1.809394</td>\n",
" <td>-0.685784</td>\n",
" <td>-2.633915</td>\n",
" <td>-1.249861</td>\n",
" <td>-0.869100</td>\n",
" <td>-0.498943</td>\n",
" <td>0.495700</td>\n",
" <td>-0.129858</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>Adel Al-Jubeir</td>\n",
" <td>1</td>\n",
" <td>0.613338</td>\n",
" <td>-1.690774</td>\n",
" <td>0.809947</td>\n",
" <td>-2.244718</td>\n",
" <td>-2.355260</td>\n",
" <td>-0.561713</td>\n",
" <td>-0.496280</td>\n",
" <td>-0.294257</td>\n",
" <td>...</td>\n",
" <td>-1.758584</td>\n",
" <td>-0.331023</td>\n",
" <td>-0.541361</td>\n",
" <td>-0.934721</td>\n",
" <td>-3.401865</td>\n",
" <td>-1.313063</td>\n",
" <td>1.289992</td>\n",
" <td>-0.805747</td>\n",
" <td>-0.260488</td>\n",
" <td>-0.506704</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>Adel Al-Jubeir</td>\n",
" <td>2</td>\n",
" <td>1.000900</td>\n",
" <td>-1.961090</td>\n",
" <td>1.099906</td>\n",
" <td>-1.847176</td>\n",
" <td>-1.722659</td>\n",
" <td>-0.191964</td>\n",
" <td>-0.653883</td>\n",
" <td>-0.255075</td>\n",
" <td>...</td>\n",
" <td>-1.720278</td>\n",
" <td>0.009178</td>\n",
" <td>-0.797245</td>\n",
" <td>-0.573037</td>\n",
" <td>-3.407322</td>\n",
" <td>-0.819630</td>\n",
" <td>1.006821</td>\n",
" <td>-0.840677</td>\n",
" <td>0.042273</td>\n",
" <td>-0.746983</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td>Adel Al-Jubeir</td>\n",
" <td>3</td>\n",
" <td>0.653894</td>\n",
" <td>-1.879805</td>\n",
" <td>1.096560</td>\n",
" <td>-1.680696</td>\n",
" <td>-2.676768</td>\n",
" <td>-0.729033</td>\n",
" <td>0.369579</td>\n",
" <td>-0.355521</td>\n",
" <td>...</td>\n",
" <td>-0.100692</td>\n",
" <td>0.322263</td>\n",
" <td>-1.036999</td>\n",
" <td>-0.976427</td>\n",
" <td>-3.913378</td>\n",
" <td>-1.316991</td>\n",
" <td>0.347921</td>\n",
" <td>-0.977980</td>\n",
" <td>0.531110</td>\n",
" <td>-0.365030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td>Adelina Avila</td>\n",
" <td>1</td>\n",
" <td>-0.713895</td>\n",
" <td>-0.957024</td>\n",
" <td>-0.267268</td>\n",
" <td>-2.155297</td>\n",
" <td>-1.140257</td>\n",
" <td>-0.758729</td>\n",
" <td>-1.022804</td>\n",
" <td>-0.417028</td>\n",
" <td>...</td>\n",
" <td>0.485918</td>\n",
" <td>-1.162598</td>\n",
" <td>0.126689</td>\n",
" <td>-0.171787</td>\n",
" <td>-3.062305</td>\n",
" <td>-0.077588</td>\n",
" <td>2.692688</td>\n",
" <td>-0.190254</td>\n",
" <td>-0.268129</td>\n",
" <td>0.064824</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td>Adisai Bodharamik</td>\n",
" <td>1</td>\n",
" <td>1.218204</td>\n",
" <td>1.308752</td>\n",
" <td>-0.140994</td>\n",
" <td>-1.610010</td>\n",
" <td>-1.561987</td>\n",
" <td>-0.862734</td>\n",
" <td>-0.319167</td>\n",
" <td>-0.445589</td>\n",
" <td>...</td>\n",
" <td>0.981768</td>\n",
" <td>-0.426445</td>\n",
" <td>-0.900062</td>\n",
" <td>-0.856495</td>\n",
" <td>-3.021686</td>\n",
" <td>-0.931820</td>\n",
" <td>0.135114</td>\n",
" <td>-0.830687</td>\n",
" <td>0.754236</td>\n",
" <td>-0.838261</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td>Adolfo Aguilar Zinser</td>\n",
" <td>1</td>\n",
" <td>0.080865</td>\n",
" <td>-1.851346</td>\n",
" <td>0.727488</td>\n",
" <td>-2.881885</td>\n",
" <td>-3.058091</td>\n",
" <td>-1.367999</td>\n",
" <td>-0.860381</td>\n",
" <td>-0.225101</td>\n",
" <td>...</td>\n",
" <td>-3.249034</td>\n",
" <td>0.117656</td>\n",
" <td>-0.603708</td>\n",
" <td>-0.643839</td>\n",
" <td>-0.205722</td>\n",
" <td>-1.294299</td>\n",
" <td>0.815712</td>\n",
" <td>-0.575348</td>\n",
" <td>0.020864</td>\n",
" <td>-0.454455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>Adolfo Aguilar Zinser</td>\n",
" <td>2</td>\n",
" <td>0.519936</td>\n",
" <td>-0.825606</td>\n",
" <td>0.653224</td>\n",
" <td>-2.635300</td>\n",
" <td>-2.044628</td>\n",
" <td>-1.276190</td>\n",
" <td>-1.111990</td>\n",
" <td>-0.096736</td>\n",
" <td>...</td>\n",
" <td>2.424304</td>\n",
" <td>0.025299</td>\n",
" <td>0.237431</td>\n",
" <td>-0.594718</td>\n",
" <td>-3.922118</td>\n",
" <td>-1.183920</td>\n",
" <td>-0.313655</td>\n",
" <td>0.067508</td>\n",
" <td>0.091954</td>\n",
" <td>0.052243</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>Adolfo Aguilar Zinser</td>\n",
" <td>3</td>\n",
" <td>0.345192</td>\n",
" <td>-0.578915</td>\n",
" <td>-0.713649</td>\n",
" <td>-1.242901</td>\n",
" <td>-0.983958</td>\n",
" <td>-0.606751</td>\n",
" <td>-1.677038</td>\n",
" <td>-0.598797</td>\n",
" <td>...</td>\n",
" <td>-2.165096</td>\n",
" <td>-1.088898</td>\n",
" <td>-0.527691</td>\n",
" <td>-1.257709</td>\n",
" <td>-3.058957</td>\n",
" <td>-0.832309</td>\n",
" <td>1.526379</td>\n",
" <td>-0.786230</td>\n",
" <td>-0.138691</td>\n",
" <td>-0.500928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>Adolfo Rodriguez Saa</td>\n",
" <td>1</td>\n",
" <td>1.594956</td>\n",
" <td>-1.118414</td>\n",
" <td>-0.491993</td>\n",
" <td>-0.683661</td>\n",
" <td>-1.659367</td>\n",
" <td>-0.785117</td>\n",
" <td>-0.866847</td>\n",
" <td>-0.171140</td>\n",
" <td>...</td>\n",
" <td>-1.554829</td>\n",
" <td>1.305417</td>\n",
" <td>0.343871</td>\n",
" <td>-1.384551</td>\n",
" <td>0.614151</td>\n",
" <td>-0.409474</td>\n",
" <td>2.092463</td>\n",
" <td>-0.399415</td>\n",
" <td>0.671278</td>\n",
" <td>-0.969051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>Adolfo Rodriguez Saa</td>\n",
" <td>2</td>\n",
" <td>0.847965</td>\n",
" <td>-0.667034</td>\n",
" <td>-0.441918</td>\n",
" <td>-1.386529</td>\n",
" <td>-0.472619</td>\n",
" <td>-1.438387</td>\n",
" <td>-1.186144</td>\n",
" <td>-0.094027</td>\n",
" <td>...</td>\n",
" <td>1.007115</td>\n",
" <td>0.733234</td>\n",
" <td>0.097541</td>\n",
" <td>-0.740930</td>\n",
" <td>0.393626</td>\n",
" <td>-0.086685</td>\n",
" <td>0.247336</td>\n",
" <td>-0.499627</td>\n",
" <td>1.003356</td>\n",
" <td>-0.765783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85</th>\n",
" <td>Adoor Gopalakarishnan</td>\n",
" <td>1</td>\n",
" <td>1.473778</td>\n",
" <td>-0.801556</td>\n",
" <td>0.446850</td>\n",
" <td>-1.998581</td>\n",
" <td>-1.122981</td>\n",
" <td>-0.746950</td>\n",
" <td>-0.898961</td>\n",
" <td>-0.784605</td>\n",
" <td>...</td>\n",
" <td>-0.921478</td>\n",
" <td>-0.154739</td>\n",
" <td>0.479799</td>\n",
" <td>-1.241065</td>\n",
" <td>-1.607621</td>\n",
" <td>-0.957375</td>\n",
" <td>0.822035</td>\n",
" <td>-0.818126</td>\n",
" <td>0.162909</td>\n",
" <td>-0.735829</td>\n",
" </tr>\n",
" <tr>\n",
" <th>86</th>\n",
" <td>Adriana Lima</td>\n",
" <td>1</td>\n",
" <td>-0.265648</td>\n",
" <td>-2.178038</td>\n",
" <td>0.876993</td>\n",
" <td>-0.456682</td>\n",
" <td>-1.065514</td>\n",
" <td>-0.458199</td>\n",
" <td>0.550570</td>\n",
" <td>-0.701860</td>\n",
" <td>...</td>\n",
" <td>-0.635117</td>\n",
" <td>-0.256544</td>\n",
" <td>-1.209063</td>\n",
" <td>0.663200</td>\n",
" <td>-5.135519</td>\n",
" <td>-0.347398</td>\n",
" <td>-0.540523</td>\n",
" <td>-0.402524</td>\n",
" <td>0.116818</td>\n",
" <td>-0.418852</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87</th>\n",
" <td>Adrian Annus</td>\n",
" <td>1</td>\n",
" <td>0.036842</td>\n",
" <td>-1.729113</td>\n",
" <td>0.995361</td>\n",
" <td>-1.875387</td>\n",
" <td>-1.018165</td>\n",
" <td>-0.218375</td>\n",
" <td>-1.343772</td>\n",
" <td>-0.119836</td>\n",
" <td>...</td>\n",
" <td>1.282748</td>\n",
" <td>-0.214523</td>\n",
" <td>-0.048113</td>\n",
" <td>-0.800790</td>\n",
" <td>-2.580758</td>\n",
" <td>-0.760229</td>\n",
" <td>-0.395886</td>\n",
" <td>-0.346346</td>\n",
" <td>-0.195237</td>\n",
" <td>-0.413518</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88</th>\n",
" <td>Adriana Perez Navarro</td>\n",
" <td>1</td>\n",
" <td>-0.975435</td>\n",
" <td>-0.746867</td>\n",
" <td>0.658828</td>\n",
" <td>-2.613938</td>\n",
" <td>-1.352000</td>\n",
" <td>-2.053944</td>\n",
" <td>0.593879</td>\n",
" <td>-0.431860</td>\n",
" <td>...</td>\n",
" <td>0.584507</td>\n",
" <td>-1.664275</td>\n",
" <td>0.844532</td>\n",
" <td>1.033722</td>\n",
" <td>-1.133336</td>\n",
" <td>0.875383</td>\n",
" <td>1.873177</td>\n",
" <td>0.130292</td>\n",
" <td>-0.534467</td>\n",
" <td>0.670804</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>Adrian Fernandez</td>\n",
" <td>1</td>\n",
" <td>0.687753</td>\n",
" <td>-0.214105</td>\n",
" <td>-0.105258</td>\n",
" <td>-1.803177</td>\n",
" <td>-1.515000</td>\n",
" <td>-1.027170</td>\n",
" <td>-0.388956</td>\n",
" <td>-0.176173</td>\n",
" <td>...</td>\n",
" <td>-0.515558</td>\n",
" <td>-0.221251</td>\n",
" <td>-1.478853</td>\n",
" <td>-1.297759</td>\n",
" <td>-1.448235</td>\n",
" <td>-1.010419</td>\n",
" <td>0.343436</td>\n",
" <td>-0.318953</td>\n",
" <td>-0.541671</td>\n",
" <td>-0.767589</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>Adrian McPherson</td>\n",
" <td>1</td>\n",
" <td>0.670377</td>\n",
" <td>-0.923533</td>\n",
" <td>-0.999747</td>\n",
" <td>-1.301006</td>\n",
" <td>-1.962823</td>\n",
" <td>-0.150549</td>\n",
" <td>-0.657534</td>\n",
" <td>-0.634198</td>\n",
" <td>...</td>\n",
" <td>-4.103941</td>\n",
" <td>-1.658057</td>\n",
" <td>-0.063829</td>\n",
" <td>-0.920804</td>\n",
" <td>-1.517958</td>\n",
" <td>-0.131547</td>\n",
" <td>0.868024</td>\n",
" <td>-0.620589</td>\n",
" <td>0.325498</td>\n",
" <td>-0.321536</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91</th>\n",
" <td>Adrian McPherson</td>\n",
" <td>2</td>\n",
" <td>1.148061</td>\n",
" <td>-0.714734</td>\n",
" <td>-1.282236</td>\n",
" <td>1.566472</td>\n",
" <td>-3.084129</td>\n",
" <td>-0.211120</td>\n",
" <td>-0.105556</td>\n",
" <td>-0.472723</td>\n",
" <td>...</td>\n",
" <td>-0.622152</td>\n",
" <td>-0.579635</td>\n",
" <td>-0.944773</td>\n",
" <td>-0.997658</td>\n",
" <td>-3.464925</td>\n",
" <td>-0.861590</td>\n",
" <td>0.915667</td>\n",
" <td>-0.367114</td>\n",
" <td>-0.108173</td>\n",
" <td>-0.832252</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92</th>\n",
" <td>Adrian Murrell</td>\n",
" <td>1</td>\n",
" <td>1.718839</td>\n",
" <td>-0.811803</td>\n",
" <td>-1.514340</td>\n",
" <td>0.945844</td>\n",
" <td>-2.677423</td>\n",
" <td>-0.489674</td>\n",
" <td>-0.132226</td>\n",
" <td>-0.261632</td>\n",
" <td>...</td>\n",
" <td>-2.601606</td>\n",
" <td>0.348053</td>\n",
" <td>-0.857533</td>\n",
" <td>-1.821765</td>\n",
" <td>-2.851284</td>\n",
" <td>-0.782194</td>\n",
" <td>1.100944</td>\n",
" <td>-0.646923</td>\n",
" <td>0.434335</td>\n",
" <td>-0.959021</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93</th>\n",
" <td>Adrian Nastase</td>\n",
" <td>1</td>\n",
" <td>1.916250</td>\n",
" <td>-1.581031</td>\n",
" <td>0.599387</td>\n",
" <td>-2.337430</td>\n",
" <td>-1.759530</td>\n",
" <td>-1.652210</td>\n",
" <td>-1.245322</td>\n",
" <td>0.071351</td>\n",
" <td>...</td>\n",
" <td>-0.996307</td>\n",
" <td>-0.059585</td>\n",
" <td>0.938260</td>\n",
" <td>-1.196757</td>\n",
" <td>-3.520536</td>\n",
" <td>-0.408894</td>\n",
" <td>1.344070</td>\n",
" <td>-1.173331</td>\n",
" <td>1.422549</td>\n",
" <td>-0.558794</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94</th>\n",
" <td>Adrian Nastase</td>\n",
" <td>2</td>\n",
" <td>0.442674</td>\n",
" <td>-1.700671</td>\n",
" <td>1.429463</td>\n",
" <td>-2.500024</td>\n",
" <td>-0.748854</td>\n",
" <td>-1.040181</td>\n",
" <td>-1.144952</td>\n",
" <td>-0.170563</td>\n",
" <td>...</td>\n",
" <td>-1.220171</td>\n",
" <td>0.026854</td>\n",
" <td>0.599190</td>\n",
" <td>-0.821753</td>\n",
" <td>-1.435037</td>\n",
" <td>-0.332865</td>\n",
" <td>0.474203</td>\n",
" <td>-0.245431</td>\n",
" <td>0.612937</td>\n",
" <td>-0.600485</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>Adrianna Zuzic</td>\n",
" <td>1</td>\n",
" <td>0.207869</td>\n",
" <td>-1.475092</td>\n",
" <td>0.302872</td>\n",
" <td>-0.659607</td>\n",
" <td>-1.333474</td>\n",
" <td>-0.752996</td>\n",
" <td>-0.211976</td>\n",
" <td>-0.706393</td>\n",
" <td>...</td>\n",
" <td>-0.053766</td>\n",
" <td>0.031225</td>\n",
" <td>0.120585</td>\n",
" <td>-0.651829</td>\n",
" <td>-1.618611</td>\n",
" <td>-0.924677</td>\n",
" <td>0.307761</td>\n",
" <td>-0.424752</td>\n",
" <td>-0.248115</td>\n",
" <td>-0.138652</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>Adrien Brody</td>\n",
" <td>1</td>\n",
" <td>0.709998</td>\n",
" <td>-0.751990</td>\n",
" <td>-0.424215</td>\n",
" <td>-1.341669</td>\n",
" <td>-2.301530</td>\n",
" <td>-1.089404</td>\n",
" <td>0.447439</td>\n",
" <td>-0.606203</td>\n",
" <td>...</td>\n",
" <td>0.426139</td>\n",
" <td>1.251570</td>\n",
" <td>-0.605606</td>\n",
" <td>-2.035657</td>\n",
" <td>-3.152949</td>\n",
" <td>-0.216166</td>\n",
" <td>1.628574</td>\n",
" <td>-0.072093</td>\n",
" <td>-0.146652</td>\n",
" <td>-0.820771</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>Adrien Brody</td>\n",
" <td>2</td>\n",
" <td>-1.048771</td>\n",
" <td>-1.421680</td>\n",
" <td>0.068832</td>\n",
" <td>-2.103882</td>\n",
" <td>-2.155188</td>\n",
" <td>-1.376157</td>\n",
" <td>-0.543575</td>\n",
" <td>-0.618758</td>\n",
" <td>...</td>\n",
" <td>0.233347</td>\n",
" <td>0.015391</td>\n",
" <td>-1.137598</td>\n",
" <td>0.183949</td>\n",
" <td>-3.433392</td>\n",
" <td>-0.317594</td>\n",
" <td>2.570905</td>\n",
" <td>-0.527308</td>\n",
" <td>0.559532</td>\n",
" <td>-0.398335</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>Adrien Brody</td>\n",
" <td>3</td>\n",
" <td>-0.595108</td>\n",
" <td>-0.890410</td>\n",
" <td>-0.084979</td>\n",
" <td>-2.558775</td>\n",
" <td>-2.237982</td>\n",
" <td>-0.701331</td>\n",
" <td>-0.029441</td>\n",
" <td>-0.878468</td>\n",
" <td>...</td>\n",
" <td>-0.623567</td>\n",
" <td>-0.798829</td>\n",
" <td>0.829027</td>\n",
" <td>-0.137613</td>\n",
" <td>-5.051687</td>\n",
" <td>0.129134</td>\n",
" <td>2.355045</td>\n",
" <td>-0.750264</td>\n",
" <td>0.519024</td>\n",
" <td>-0.005707</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>Adrien Brody</td>\n",
" <td>4</td>\n",
" <td>0.685281</td>\n",
" <td>-1.495786</td>\n",
" <td>0.875329</td>\n",
" <td>-1.874784</td>\n",
" <td>-2.831385</td>\n",
" <td>-1.043183</td>\n",
" <td>0.631368</td>\n",
" <td>-0.116283</td>\n",
" <td>...</td>\n",
" <td>0.927606</td>\n",
" <td>0.801519</td>\n",
" <td>-0.815368</td>\n",
" <td>-1.312876</td>\n",
" <td>-2.524603</td>\n",
" <td>-0.966229</td>\n",
" <td>0.762522</td>\n",
" <td>-0.763808</td>\n",
" <td>0.810383</td>\n",
" <td>-0.394915</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>100 rows × 75 columns</p>\n",
"</div>"
],
"text/plain": [
" name imagenum Male Asian White Black \\\n",
"0 Aaron Eckhart 1 1.568346 -1.889043 1.737203 -0.929729 \n",
"1 Aaron Guiel 1 0.169851 -0.982408 0.422709 -1.282184 \n",
"2 Aaron Patterson 1 0.997749 -1.364195 -0.157377 -0.756447 \n",
"3 Aaron Peirsol 1 1.122719 -1.997799 1.916144 -2.514214 \n",
"4 Aaron Peirsol 2 1.078214 -2.008098 1.676211 -2.278056 \n",
"5 Aaron Peirsol 3 0.850491 -1.482081 1.908517 -1.873645 \n",
"6 Aaron Peirsol 4 0.944548 -1.377224 1.299056 -1.405336 \n",
"7 Aaron Pena 1 1.594671 -1.504431 0.441401 -1.771746 \n",
"8 Aaron Sorkin 1 0.286489 -1.903507 0.697239 -1.859854 \n",
"9 Aaron Sorkin 2 0.663497 -1.036937 0.461610 -2.498530 \n",
"10 Aaron Tippin 1 1.910970 -1.489192 0.620388 -1.161901 \n",
"11 Abba Eban 1 0.891376 -0.438415 -0.091453 -1.738903 \n",
"12 Abbas Kiarostami 1 0.871570 -1.516176 0.641716 -2.134192 \n",
"13 Abdel Aziz Al-Hakim 1 1.239393 -1.329086 -0.188062 -1.381471 \n",
"14 Abdel Madi Shabneh 1 2.439147 -2.066418 0.307686 -1.581523 \n",
"15 Abdel Nasser Assidi 1 1.404558 -1.638829 -0.800497 -1.255397 \n",
"16 Abdel Nasser Assidi 2 2.487958 -1.680567 -1.280125 -1.209785 \n",
"17 Abdoulaye Wade 1 1.025040 -0.879031 -1.930782 1.994128 \n",
"18 Abdoulaye Wade 2 1.398445 -0.823923 -0.603756 1.437330 \n",
"19 Abdoulaye Wade 3 0.012833 -1.004662 0.561337 -1.656271 \n",
"20 Abdoulaye Wade 4 1.213855 -1.296853 -1.132711 0.963420 \n",
"21 Abdulaziz Kamilov 1 0.752833 -1.244790 0.027248 -2.236982 \n",
"22 Abdullah 1 0.459444 -1.555999 0.743300 -1.827666 \n",
"23 Abdullah 2 0.230796 -1.168339 0.201489 -2.772350 \n",
"24 Abdullah 3 1.638943 -1.932415 0.246645 -2.873324 \n",
"25 Abdullah 4 0.713524 -1.176608 0.126218 -2.165194 \n",
"26 Abdullah Ahmad Badawi 1 1.898225 1.083393 -1.228515 -1.416314 \n",
"27 Abdullah al-Attiyah 1 0.141659 -1.006979 -0.040179 -0.609714 \n",
"28 Abdullah al-Attiyah 2 1.161440 -2.049056 0.016479 -0.269650 \n",
"29 Abdullah al-Attiyah 3 1.014199 -1.804330 -0.208414 -1.152197 \n",
".. ... ... ... ... ... ... \n",
"70 Adam Sandler 2 0.960743 -1.611045 -0.005180 -0.859116 \n",
"71 Adam Sandler 3 0.711124 -0.976575 0.377536 -2.951360 \n",
"72 Adam Sandler 4 1.258382 -0.900011 0.233962 -2.396206 \n",
"73 Adam Scott 1 0.939057 -0.400515 -0.314256 -2.017519 \n",
"74 Adam Scott 2 1.097407 -0.671879 0.649947 -1.659793 \n",
"75 Adel Al-Jubeir 1 0.613338 -1.690774 0.809947 -2.244718 \n",
"76 Adel Al-Jubeir 2 1.000900 -1.961090 1.099906 -1.847176 \n",
"77 Adel Al-Jubeir 3 0.653894 -1.879805 1.096560 -1.680696 \n",
"78 Adelina Avila 1 -0.713895 -0.957024 -0.267268 -2.155297 \n",
"79 Adisai Bodharamik 1 1.218204 1.308752 -0.140994 -1.610010 \n",
"80 Adolfo Aguilar Zinser 1 0.080865 -1.851346 0.727488 -2.881885 \n",
"81 Adolfo Aguilar Zinser 2 0.519936 -0.825606 0.653224 -2.635300 \n",
"82 Adolfo Aguilar Zinser 3 0.345192 -0.578915 -0.713649 -1.242901 \n",
"83 Adolfo Rodriguez Saa 1 1.594956 -1.118414 -0.491993 -0.683661 \n",
"84 Adolfo Rodriguez Saa 2 0.847965 -0.667034 -0.441918 -1.386529 \n",
"85 Adoor Gopalakarishnan 1 1.473778 -0.801556 0.446850 -1.998581 \n",
"86 Adriana Lima 1 -0.265648 -2.178038 0.876993 -0.456682 \n",
"87 Adrian Annus 1 0.036842 -1.729113 0.995361 -1.875387 \n",
"88 Adriana Perez Navarro 1 -0.975435 -0.746867 0.658828 -2.613938 \n",
"89 Adrian Fernandez 1 0.687753 -0.214105 -0.105258 -1.803177 \n",
"90 Adrian McPherson 1 0.670377 -0.923533 -0.999747 -1.301006 \n",
"91 Adrian McPherson 2 1.148061 -0.714734 -1.282236 1.566472 \n",
"92 Adrian Murrell 1 1.718839 -0.811803 -1.514340 0.945844 \n",
"93 Adrian Nastase 1 1.916250 -1.581031 0.599387 -2.337430 \n",
"94 Adrian Nastase 2 0.442674 -1.700671 1.429463 -2.500024 \n",
"95 Adrianna Zuzic 1 0.207869 -1.475092 0.302872 -0.659607 \n",
"96 Adrien Brody 1 0.709998 -0.751990 -0.424215 -1.341669 \n",
"97 Adrien Brody 2 -1.048771 -1.421680 0.068832 -2.103882 \n",
"98 Adrien Brody 3 -0.595108 -0.890410 -0.084979 -2.558775 \n",
"99 Adrien Brody 4 0.685281 -1.495786 0.875329 -1.874784 \n",
"\n",
" Baby Child Youth Middle Aged ... Pale Skin \\\n",
"0 -1.471799 -0.195580 -0.835609 -0.351468 ... 0.361738 \n",
"1 -1.360060 -0.867002 -0.452293 -0.197521 ... -0.832036 \n",
"2 -1.891825 -0.871526 -0.862893 0.031445 ... 1.549743 \n",
"3 -2.580071 -1.404239 0.057551 0.000196 ... 0.567822 \n",
"4 -2.651845 -1.348408 0.649089 0.017656 ... -1.461474 \n",
"5 -3.229934 -0.864006 0.313820 -0.352680 ... 1.775471 \n",
"6 -1.862326 -0.502664 -0.486290 0.015002 ... 0.155763 \n",
"7 -2.449850 -1.105967 -0.042591 -0.136437 ... -3.258026 \n",
"8 -1.440250 -1.552425 0.102555 -0.191471 ... -1.417845 \n",
"9 -2.815927 -1.637794 -0.201480 -0.134941 ... 1.432911 \n",
"10 -1.145466 -1.546641 -1.553562 0.206915 ... 0.661369 \n",
"11 -1.024990 -1.464063 -0.720319 -0.660456 ... 1.294854 \n",
"12 -1.691434 -0.257611 0.302173 -0.269922 ... -0.470041 \n",
"13 -2.025667 -0.881739 -0.947920 -0.182150 ... -0.106571 \n",
"14 -2.393414 -0.766555 -0.639659 -0.368661 ... 2.899042 \n",
"15 -1.969022 -1.193883 -1.051376 0.177450 ... -1.072084 \n",
"16 -2.127416 -1.055648 -0.848815 -0.016430 ... -1.680411 \n",
"17 -2.142767 -1.107014 -0.999328 -0.231514 ... -3.579026 \n",
"18 -2.938700 -1.543873 -0.465201 -0.406288 ... -2.609074 \n",
"19 -1.070262 -0.005744 -1.407828 -0.517410 ... -0.555133 \n",
"20 -1.809558 -0.981382 -0.690479 -0.456392 ... -3.724544 \n",
"21 -2.803701 -1.779229 -1.937288 -0.135501 ... -0.782594 \n",
"22 -1.776433 -0.958247 -0.427366 0.105498 ... 0.663637 \n",
"23 -0.940149 -0.831505 -0.709910 -0.220148 ... -1.206320 \n",
"24 -3.117014 -1.526177 -0.158987 0.336587 ... -1.436112 \n",
"25 -0.724083 -0.754611 -0.195100 -0.265606 ... -0.717086 \n",
"26 -2.757574 -1.101172 -0.470595 -0.218677 ... -0.851258 \n",
"27 -1.160548 -0.177111 -0.272880 -0.405402 ... 0.568943 \n",
"28 -1.720492 -0.534286 -0.842931 -0.210453 ... -2.014643 \n",
"29 -2.347451 -0.552291 -0.642810 -0.185219 ... -0.470820 \n",
".. ... ... ... ... ... ... \n",
"70 -1.447718 -0.596475 -0.590755 0.068427 ... -0.960656 \n",
"71 -2.006352 -0.817132 -0.143775 -0.299348 ... 0.711657 \n",
"72 -1.656958 -1.001092 -0.004549 -0.273449 ... -1.872722 \n",
"73 -1.413213 -0.065480 -0.443729 -0.645220 ... -6.088279 \n",
"74 -1.631819 0.162380 0.260933 -0.659276 ... 1.153287 \n",
"75 -2.355260 -0.561713 -0.496280 -0.294257 ... -1.758584 \n",
"76 -1.722659 -0.191964 -0.653883 -0.255075 ... -1.720278 \n",
"77 -2.676768 -0.729033 0.369579 -0.355521 ... -0.100692 \n",
"78 -1.140257 -0.758729 -1.022804 -0.417028 ... 0.485918 \n",
"79 -1.561987 -0.862734 -0.319167 -0.445589 ... 0.981768 \n",
"80 -3.058091 -1.367999 -0.860381 -0.225101 ... -3.249034 \n",
"81 -2.044628 -1.276190 -1.111990 -0.096736 ... 2.424304 \n",
"82 -0.983958 -0.606751 -1.677038 -0.598797 ... -2.165096 \n",
"83 -1.659367 -0.785117 -0.866847 -0.171140 ... -1.554829 \n",
"84 -0.472619 -1.438387 -1.186144 -0.094027 ... 1.007115 \n",
"85 -1.122981 -0.746950 -0.898961 -0.784605 ... -0.921478 \n",
"86 -1.065514 -0.458199 0.550570 -0.701860 ... -0.635117 \n",
"87 -1.018165 -0.218375 -1.343772 -0.119836 ... 1.282748 \n",
"88 -1.352000 -2.053944 0.593879 -0.431860 ... 0.584507 \n",
"89 -1.515000 -1.027170 -0.388956 -0.176173 ... -0.515558 \n",
"90 -1.962823 -0.150549 -0.657534 -0.634198 ... -4.103941 \n",
"91 -3.084129 -0.211120 -0.105556 -0.472723 ... -0.622152 \n",
"92 -2.677423 -0.489674 -0.132226 -0.261632 ... -2.601606 \n",
"93 -1.759530 -1.652210 -1.245322 0.071351 ... -0.996307 \n",
"94 -0.748854 -1.040181 -1.144952 -0.170563 ... -1.220171 \n",
"95 -1.333474 -0.752996 -0.211976 -0.706393 ... -0.053766 \n",
"96 -2.301530 -1.089404 0.447439 -0.606203 ... 0.426139 \n",
"97 -2.155188 -1.376157 -0.543575 -0.618758 ... 0.233347 \n",
"98 -2.237982 -0.701331 -0.029441 -0.878468 ... -0.623567 \n",
"99 -2.831385 -1.043183 0.631368 -0.116283 ... 0.927606 \n",
"\n",
" 5 o' Clock Shadow Strong Nose-Mouth Lines Wearing Lipstick \\\n",
"0 1.166118 -1.164916 -1.139990 \n",
"1 -0.397680 0.874160 -0.945431 \n",
"2 1.884745 -0.999765 -1.359858 \n",
"3 -0.176089 1.108125 -1.600944 \n",
"4 -0.955283 0.119113 -1.128176 \n",
"5 -1.063505 1.354345 -0.960133 \n",
"6 -0.033326 -0.869705 -0.942216 \n",
"7 0.128691 -1.573239 -1.102139 \n",
"8 -0.483956 0.717483 -0.288405 \n",
"9 0.771419 1.595485 -0.697505 \n",
"10 2.818243 0.363108 -2.176113 \n",
"11 -0.470484 0.806376 -1.021146 \n",
"12 -0.737105 -0.286789 -0.662353 \n",
"13 2.492902 -0.252225 -1.325914 \n",
"14 1.177874 -0.934873 -1.881292 \n",
"15 2.096320 -1.164950 -1.137972 \n",
"16 2.470447 -0.920717 -1.072601 \n",
"17 0.355360 0.393372 -1.259175 \n",
"18 0.696207 0.825722 -1.112926 \n",
"19 0.013287 -0.062311 -0.382304 \n",
"20 0.340418 0.612166 -1.125110 \n",
"21 -0.690846 0.767847 -0.763919 \n",
"22 0.724282 -1.185018 -0.809677 \n",
"23 0.161079 -0.396865 -0.731781 \n",
"24 1.170450 -0.665181 -0.922192 \n",
"25 0.904685 -0.042953 -1.583960 \n",
"26 -0.042062 0.769485 -1.109986 \n",
"27 0.179642 0.239705 -0.307465 \n",
"28 1.104385 -0.114984 -0.245829 \n",
"29 -0.083221 -0.307536 -0.810960 \n",
".. ... ... ... \n",
"70 1.367942 -1.126018 -1.478324 \n",
"71 0.468800 -1.238078 -1.259480 \n",
"72 0.140217 -0.558030 -1.425706 \n",
"73 -0.053308 -0.374793 -0.741705 \n",
"74 -0.428521 -1.809394 -0.685784 \n",
"75 -0.331023 -0.541361 -0.934721 \n",
"76 0.009178 -0.797245 -0.573037 \n",
"77 0.322263 -1.036999 -0.976427 \n",
"78 -1.162598 0.126689 -0.171787 \n",
"79 -0.426445 -0.900062 -0.856495 \n",
"80 0.117656 -0.603708 -0.643839 \n",
"81 0.025299 0.237431 -0.594718 \n",
"82 -1.088898 -0.527691 -1.257709 \n",
"83 1.305417 0.343871 -1.384551 \n",
"84 0.733234 0.097541 -0.740930 \n",
"85 -0.154739 0.479799 -1.241065 \n",
"86 -0.256544 -1.209063 0.663200 \n",
"87 -0.214523 -0.048113 -0.800790 \n",
"88 -1.664275 0.844532 1.033722 \n",
"89 -0.221251 -1.478853 -1.297759 \n",
"90 -1.658057 -0.063829 -0.920804 \n",
"91 -0.579635 -0.944773 -0.997658 \n",
"92 0.348053 -0.857533 -1.821765 \n",
"93 -0.059585 0.938260 -1.196757 \n",
"94 0.026854 0.599190 -0.821753 \n",
"95 0.031225 0.120585 -0.651829 \n",
"96 1.251570 -0.605606 -2.035657 \n",
"97 0.015391 -1.137598 0.183949 \n",
"98 -0.798829 0.829027 -0.137613 \n",
"99 0.801519 -0.815368 -1.312876 \n",
"\n",
" Flushed Face High Cheekbones Brown Eyes Wearing Earrings \\\n",
"0 -2.371746 -1.299932 -0.414682 -1.144902 \n",
"1 -0.268649 -0.006244 -0.030406 -0.480128 \n",
"2 -1.912108 -1.095634 0.915126 -0.572332 \n",
"3 -3.264613 0.813418 0.308631 -0.848693 \n",
"4 -3.161048 0.082680 -0.439614 -0.359859 \n",
"5 -5.354640 1.150018 -0.142195 -0.672725 \n",
"6 -3.776152 -1.028302 0.099285 -0.335493 \n",
"7 -1.123913 -1.394168 1.520652 -0.487475 \n",
"8 -2.295450 0.937971 1.233072 -0.632812 \n",
"9 -2.511975 0.981240 0.424768 -0.518236 \n",
"10 -1.299297 -1.291467 1.884040 -1.405784 \n",
"11 1.071033 0.008474 0.441745 -0.575209 \n",
"12 -1.870350 -0.616946 0.224201 -0.411927 \n",
"13 -4.642901 -1.059536 1.291972 -0.911307 \n",
"14 -5.658690 -1.529281 -2.435381 -1.044854 \n",
"15 -1.635058 -0.838415 0.950734 -0.773626 \n",
"16 -0.168948 -0.932073 1.253161 -1.151044 \n",
"17 -4.105325 -0.325684 0.418753 -0.837375 \n",
"18 -2.898265 0.719459 1.308871 -0.745990 \n",
"19 -2.384780 -0.985572 1.095939 -0.519191 \n",
"20 -2.916790 0.295672 0.690055 -0.755771 \n",
"21 -1.079922 -0.710393 0.549322 -0.996368 \n",
"22 -2.555355 -1.429900 0.576748 -0.499286 \n",
"23 0.220867 -0.675454 -0.112165 -0.281566 \n",
"24 -2.254709 -0.721276 0.875660 -0.970863 \n",
"25 -0.988304 -1.213497 1.361739 -1.020137 \n",
"26 1.392389 0.856509 1.973012 -1.037368 \n",
"27 3.108659 -0.400680 0.419008 -0.385539 \n",
"28 0.310305 -0.306685 1.823515 -0.169621 \n",
"29 -0.013695 -0.240712 0.340339 -0.507489 \n",
".. ... ... ... ... \n",
"70 -1.353747 -1.156388 0.398824 -0.870123 \n",
"71 -3.970510 -1.081902 0.537394 -0.640155 \n",
"72 -3.962661 -1.381692 0.291308 -0.862271 \n",
"73 -1.364770 -0.664691 1.165037 -0.301658 \n",
"74 -2.633915 -1.249861 -0.869100 -0.498943 \n",
"75 -3.401865 -1.313063 1.289992 -0.805747 \n",
"76 -3.407322 -0.819630 1.006821 -0.840677 \n",
"77 -3.913378 -1.316991 0.347921 -0.977980 \n",
"78 -3.062305 -0.077588 2.692688 -0.190254 \n",
"79 -3.021686 -0.931820 0.135114 -0.830687 \n",
"80 -0.205722 -1.294299 0.815712 -0.575348 \n",
"81 -3.922118 -1.183920 -0.313655 0.067508 \n",
"82 -3.058957 -0.832309 1.526379 -0.786230 \n",
"83 0.614151 -0.409474 2.092463 -0.399415 \n",
"84 0.393626 -0.086685 0.247336 -0.499627 \n",
"85 -1.607621 -0.957375 0.822035 -0.818126 \n",
"86 -5.135519 -0.347398 -0.540523 -0.402524 \n",
"87 -2.580758 -0.760229 -0.395886 -0.346346 \n",
"88 -1.133336 0.875383 1.873177 0.130292 \n",
"89 -1.448235 -1.010419 0.343436 -0.318953 \n",
"90 -1.517958 -0.131547 0.868024 -0.620589 \n",
"91 -3.464925 -0.861590 0.915667 -0.367114 \n",
"92 -2.851284 -0.782194 1.100944 -0.646923 \n",
"93 -3.520536 -0.408894 1.344070 -1.173331 \n",
"94 -1.435037 -0.332865 0.474203 -0.245431 \n",
"95 -1.618611 -0.924677 0.307761 -0.424752 \n",
"96 -3.152949 -0.216166 1.628574 -0.072093 \n",
"97 -3.433392 -0.317594 2.570905 -0.527308 \n",
"98 -5.051687 0.129134 2.355045 -0.750264 \n",
"99 -2.524603 -0.966229 0.762522 -0.763808 \n",
"\n",
" Wearing Necktie Wearing Necklace \n",
"0 0.694007 -0.826609 \n",
"1 0.666760 -0.496559 \n",
"2 0.144262 -0.841231 \n",
"3 0.475941 -0.447025 \n",
"4 -0.760774 -0.410152 \n",
"5 0.886694 -0.154051 \n",
"6 0.185644 -0.671966 \n",
"7 0.601968 -0.617698 \n",
"8 0.009995 -0.144265 \n",
"9 -0.306921 0.348492 \n",
"10 0.770559 -1.185578 \n",
"11 0.428245 0.049420 \n",
"12 -0.164780 0.400568 \n",
"13 0.430227 -0.903648 \n",
"14 0.195659 -0.790428 \n",
"15 0.495969 -0.238041 \n",
"16 -0.270534 -0.484823 \n",
"17 0.575984 -0.888422 \n",
"18 0.571708 -0.072810 \n",
"19 -1.186807 -1.194916 \n",
"20 0.887979 -0.510048 \n",
"21 1.198094 -1.010391 \n",
"22 0.294020 -0.322506 \n",
"23 0.129100 0.528412 \n",
"24 1.280299 -0.381012 \n",
"25 0.379289 -0.774598 \n",
"26 0.694004 -0.928776 \n",
"27 0.146054 -0.811116 \n",
"28 0.607752 -0.165595 \n",
"29 -0.109759 -0.865855 \n",
".. ... ... \n",
"70 -0.074762 -0.899611 \n",
"71 -0.102008 -0.950959 \n",
"72 0.071294 -0.126719 \n",
"73 -0.744314 -0.951048 \n",
"74 0.495700 -0.129858 \n",
"75 -0.260488 -0.506704 \n",
"76 0.042273 -0.746983 \n",
"77 0.531110 -0.365030 \n",
"78 -0.268129 0.064824 \n",
"79 0.754236 -0.838261 \n",
"80 0.020864 -0.454455 \n",
"81 0.091954 0.052243 \n",
"82 -0.138691 -0.500928 \n",
"83 0.671278 -0.969051 \n",
"84 1.003356 -0.765783 \n",
"85 0.162909 -0.735829 \n",
"86 0.116818 -0.418852 \n",
"87 -0.195237 -0.413518 \n",
"88 -0.534467 0.670804 \n",
"89 -0.541671 -0.767589 \n",
"90 0.325498 -0.321536 \n",
"91 -0.108173 -0.832252 \n",
"92 0.434335 -0.959021 \n",
"93 1.422549 -0.558794 \n",
"94 0.612937 -0.600485 \n",
"95 -0.248115 -0.138652 \n",
"96 -0.146652 -0.820771 \n",
"97 0.559532 -0.398335 \n",
"98 0.519024 -0.005707 \n",
"99 0.810383 -0.394915 \n",
"\n",
"[100 rows x 75 columns]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"faces = pd.read_table(\"data/dtlfw_attributes.txt\", \"\\t\")\n",
"faces.head(100)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"faces = faces.drop(['imagenum'], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"name object\n",
"Male float64\n",
"Asian float64\n",
"White float64\n",
"Black float64\n",
"Baby float64\n",
"Child float64\n",
"Youth float64\n",
"Middle Aged float64\n",
"Senior float64\n",
"Black Hair float64\n",
"Blond Hair float64\n",
"Brown Hair float64\n",
"Bald float64\n",
"No Eyewear float64\n",
"Eyeglasses float64\n",
"Sunglasses float64\n",
"Mustache float64\n",
"Smiling float64\n",
"Frowning float64\n",
"Chubby float64\n",
"Blurry float64\n",
"Harsh Lighting float64\n",
"Flash float64\n",
"Soft Lighting float64\n",
"Outdoor float64\n",
"Curly Hair float64\n",
"Wavy Hair float64\n",
"Straight Hair float64\n",
"Receding Hairline float64\n",
" ... \n",
"Mouth Wide Open float64\n",
"Teeth Not Visible float64\n",
"No Beard float64\n",
"Goatee float64\n",
"Round Jaw float64\n",
"Double Chin float64\n",
"Wearing Hat float64\n",
"Oval Face float64\n",
"Square Face float64\n",
"Round Face float64\n",
"Color Photo float64\n",
"Posed Photo float64\n",
"Attractive Man float64\n",
"Attractive Woman float64\n",
"Indian float64\n",
"Gray Hair float64\n",
"Bags Under Eyes float64\n",
"Heavy Makeup float64\n",
"Rosy Cheeks float64\n",
"Shiny Skin float64\n",
"Pale Skin float64\n",
"5 o' Clock Shadow float64\n",
"Strong Nose-Mouth Lines float64\n",
"Wearing Lipstick float64\n",
"Flushed Face float64\n",
"High Cheekbones float64\n",
"Brown Eyes float64\n",
"Wearing Earrings float64\n",
"Wearing Necktie float64\n",
"Wearing Necklace float64\n",
"dtype: object"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"faces.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"name False\n",
"Male False\n",
"Asian False\n",
"White False\n",
"Black False\n",
"Baby False\n",
"Child False\n",
"Youth False\n",
"Middle Aged False\n",
"Senior False\n",
"Black Hair False\n",
"Blond Hair False\n",
"Brown Hair False\n",
"Bald False\n",
"No Eyewear False\n",
"Eyeglasses False\n",
"Sunglasses False\n",
"Mustache False\n",
"Smiling False\n",
"Frowning False\n",
"Chubby False\n",
"Blurry False\n",
"Harsh Lighting False\n",
"Flash False\n",
"Soft Lighting False\n",
"Outdoor False\n",
"Curly Hair False\n",
"Wavy Hair False\n",
"Straight Hair False\n",
"Receding Hairline False\n",
" ... \n",
"Mouth Wide Open False\n",
"Teeth Not Visible False\n",
"No Beard False\n",
"Goatee False\n",
"Round Jaw False\n",
"Double Chin False\n",
"Wearing Hat False\n",
"Oval Face False\n",
"Square Face False\n",
"Round Face False\n",
"Color Photo False\n",
"Posed Photo False\n",
"Attractive Man False\n",
"Attractive Woman False\n",
"Indian False\n",
"Gray Hair False\n",
"Bags Under Eyes False\n",
"Heavy Makeup False\n",
"Rosy Cheeks False\n",
"Shiny Skin False\n",
"Pale Skin False\n",
"5 o' Clock Shadow False\n",
"Strong Nose-Mouth Lines False\n",
"Wearing Lipstick False\n",
"Flushed Face False\n",
"High Cheekbones False\n",
"Brown Eyes False\n",
"Wearing Earrings False\n",
"Wearing Necktie False\n",
"Wearing Necklace False\n",
"dtype: bool"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.isnull(faces).any()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of unique faces 'name': \b 5721.00 \n"
]
}
],
"source": [
"#find face count\n",
"iCount = faces['name'].unique().size\n",
"print(\"Number of unique faces '{0}': \\b {1:2.2f} \".format('name', iCount))"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#find unique faces names, and init image count to zero\n",
"y = []\n",
"yc = []\n",
"for n in faces['name'].unique():\n",
" y.append(n)\n",
" yc.append(0)\n",
" #print(\" Name: {0} ID {1} \\n\".format(n, y.index(n)) )"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#count number of images per face\n",
"for n in faces['name']:\n",
" yc[y.index(n)] += 1"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 5721/5721 [00:51<00:00, 111.24it/s]\n"
]
}
],
"source": [
"#Filter faces with measurement samples < X\n",
"for n in tqdm(y):\n",
" if(yc[y.index(n)] < 5):\n",
" faces = faces[faces.name != n]\n",
" else:\n",
" faces['name'].replace({ n : y.index(n) }, regex=False, inplace=True) \n"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.5/site-packages/ipykernel/__main__.py:2: FutureWarning: convert_objects is deprecated. Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
" from ipykernel import kernelapp as app\n"
]
},
{
"data": {
"text/plain": [
"name int64\n",
"Male float64\n",
"Asian float64\n",
"White float64\n",
"Black float64\n",
"Baby float64\n",
"Child float64\n",
"Youth float64\n",
"Middle Aged float64\n",
"Senior float64\n",
"Black Hair float64\n",
"Blond Hair float64\n",
"Brown Hair float64\n",
"Bald float64\n",
"No Eyewear float64\n",
"Eyeglasses float64\n",
"Sunglasses float64\n",
"Mustache float64\n",
"Smiling float64\n",
"Frowning float64\n",
"Chubby float64\n",
"Blurry float64\n",
"Harsh Lighting float64\n",
"Flash float64\n",
"Soft Lighting float64\n",
"Outdoor float64\n",
"Curly Hair float64\n",
"Wavy Hair float64\n",
"Straight Hair float64\n",
"Receding Hairline float64\n",
" ... \n",
"Mouth Wide Open float64\n",
"Teeth Not Visible float64\n",
"No Beard float64\n",
"Goatee float64\n",
"Round Jaw float64\n",
"Double Chin float64\n",
"Wearing Hat float64\n",
"Oval Face float64\n",
"Square Face float64\n",
"Round Face float64\n",
"Color Photo float64\n",
"Posed Photo float64\n",
"Attractive Man float64\n",
"Attractive Woman float64\n",
"Indian float64\n",
"Gray Hair float64\n",
"Bags Under Eyes float64\n",
"Heavy Makeup float64\n",
"Rosy Cheeks float64\n",
"Shiny Skin float64\n",
"Pale Skin float64\n",
"5 o' Clock Shadow float64\n",
"Strong Nose-Mouth Lines float64\n",
"Wearing Lipstick float64\n",
"Flushed Face float64\n",
"High Cheekbones float64\n",
"Brown Eyes float64\n",
"Wearing Earrings float64\n",
"Wearing Necktie float64\n",
"Wearing Necklace float64\n",
"dtype: object"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#try to cast objects to numbers\n",
"faces.convert_objects(convert_numeric=True).dtypes"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"faces.rename(columns={'name' : 'class'}, inplace=True)\n",
"faces_class = faces['class'].values\n",
"assert (len(faces_class) == len(faces.index)), \"Not matching\""
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"((5926, 74), (5926,))"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"faces.shape, faces_class.shape"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(4416, 1510)"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"training_indices, validation_indices = training_indices, testing_indices = train_test_split(faces.index, stratify = faces_class, train_size=0.75, test_size=0.25)\n",
"\n",
"training_indices.size, validation_indices.size"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(array([[ 1.9805061 , -0.83391763, -0.87012168, ..., -0.75879239,\n",
" 1.0282396 , -0.78805204],\n",
" [ 2.54756066, -2.27394563, 1.2493379 , ..., -0.80230072,\n",
" 0.09252791, -0.8928632 ],\n",
" [ 1.42407353, -0.65747538, 0.3270292 , ..., -0.57665479,\n",
" 0.49782328, -1.11945874],\n",
" ..., \n",
" [ 1.5864602 , 0.19614816, -0.64289887, ..., -1.09077894,\n",
" 0.77409646, -1.3511122 ],\n",
" [ 1.28461601, 0.93146096, -0.63746643, ..., -1.11320072,\n",
" 0.58348546, -0.65451279],\n",
" [ 1.98957303, -1.21329114, 0.68138223, ..., -0.98350932,\n",
" -0.40348062, -0.583795 ]]),\n",
" array([5018, 3338, 4041, ..., 2512, 1480, 1842], dtype=object),\n",
" array([[ 1.36580963, -1.62644032, 0.7525667 , ..., -0.76672718,\n",
" -0.17283834, -0.28792745],\n",
" [-0.08651164, -0.39551978, 0.70612456, ..., -0.13195606,\n",
" 0.13671919, -0.07936384],\n",
" [-2.18471457, -0.73072833, 0.18127933, ..., 1.01585682,\n",
" -1.10897648, 1.1475113 ],\n",
" ..., \n",
" [ 2.40035737, -0.77852902, 0.1784681 , ..., -1.11207819,\n",
" 0.84815128, -0.54726803],\n",
" [ 0.03907802, -1.03917793, 0.95984591, ..., -0.70175993,\n",
" 0.65242618, -0.60791003],\n",
" [ 1.73990225, -1.45035004, 1.29150732, ..., -1.20719822,\n",
" 0.09853425, -0.72912554]]),\n",
" array([289, 1863, 1535, ..., 5517, 1858, 1863], dtype=object))"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_train = faces.drop('class',axis=1).loc[training_indices].values\n",
"y_train = faces.loc[training_indices,'class'].values\n",
"\n",
"X_test = faces.drop('class',axis=1).loc[validation_indices].values\n",
"y_test = faces.loc[validation_indices, 'class'].values\n",
"\n",
"X_train, y_train, X_test, y_test"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"GP Progress: 33%|███▎ | 100/300 [00:00<07:05, 2.13s/pipeline]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Generation 1 - Current best internal CV score: 0.50000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"GP Progress: 67%|██████▋ | 201/300 [14:03<07:54, 4.79s/pipeline]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Generation 2 - Current best internal CV score: 0.50000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": []
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Best pipeline: _select_kbest(input_df, 80)\n"
]
}
],
"source": [
"tpot = TPOT(generations=2, verbosity=2)\n",
"tpot.fit(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"0.5"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tpot.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"tpot.export('tpot_LFW_pipeline.py')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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