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Jun 12th, 2018
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  1. Train accuracy => 0 10.486942328618063
  2. Train accuracy => 1 10.45973884657236
  3. Train accuracy => 2 10.45973884657236
  4. Train accuracy => 3 10.473340587595212
  5. Train accuracy => 4 10.486942328618063
  6. Train accuracy => 5 10.44613710554951
  7. Train accuracy => 6 10.486942328618063
  8. Train accuracy => 7 10.473340587595212
  9. Train accuracy => 8 10.43253536452666
  10. Train accuracy => 9 10.43253536452666
  11. Train accuracy => 10 10.405331882480958
  12. Train accuracy => 11 10.418933623503808
  13. Train accuracy => 12 10.45973884657236
  14. Train accuracy => 13 10.391730141458106
  15. Train accuracy => 14 10.391730141458106
  16. Train accuracy => 15 10.44613710554951
  17. Train accuracy => 16 10.473340587595212
  18. Train accuracy => 17 10.44613710554951
  19. Train accuracy => 18 10.473340587595212
  20. Train accuracy => 19 10.473340587595212
  21. Train accuracy => 20 10.527747551686616
  22. Train accuracy => 21 10.55495103373232
  23. Train accuracy => 22 10.622959738846573
  24. Train accuracy => 23 10.690968443960827
  25. Train accuracy => 24 10.758977149075081
  26. Train accuracy => 25 10.758977149075081
  27. Train accuracy => 26 10.690968443960827
  28. Train accuracy => 27 10.718171926006528
  29. Train accuracy => 28 10.73177366702938
  30. Train accuracy => 29 10.758977149075081
  31. Train accuracy => 30 10.813384113166485
  32. Train accuracy => 31 10.799782372143635
  33. Train accuracy => 32 10.840587595212186
  34. Train accuracy => 33 10.88139281828074
  35. Train accuracy => 34 10.854189336235038
  36. Train accuracy => 35 10.908596300326442
  37. Train accuracy => 36 10.935799782372143
  38. Train accuracy => 37 10.949401523394995
  39. Train accuracy => 38 11.058215451577802
  40. Train accuracy => 39 11.058215451577802
  41. Train accuracy => 40 11.058215451577802
  42. Train accuracy => 41 11.099020674646356
  43. Train accuracy => 42 11.126224156692057
  44. Train accuracy => 43 11.20783460282916
  45. Train accuracy => 44 11.289445048966268
  46. Train accuracy => 45 11.371055495103374
  47. Train accuracy => 46 11.47986942328618
  48. Train accuracy => 47 11.534276387377584
  49. Train accuracy => 48 11.547878128400434
  50. Train accuracy => 49 11.547878128400434
  51. Train accuracy => 50 11.61588683351469
  52. Train accuracy => 51 11.765505984766051
  53. Train accuracy => 52 11.847116430903155
  54. Train accuracy => 53 11.942328618063112
  55. Train accuracy => 54 12.105549510337323
  56. Train accuracy => 55 12.18715995647443
  57. Train accuracy => 56 12.268770402611533
  58. Train accuracy => 57 12.33677910772579
  59. Train accuracy => 58 12.431991294885746
  60. Train accuracy => 59 12.568008705114256
  61. Train accuracy => 60 12.622415669205658
  62. Train accuracy => 61 12.704026115342765
  63. Train accuracy => 62 12.785636561479869
  64. Train accuracy => 63 12.92165397170838
  65. Train accuracy => 64 13.016866158868334
  66. Train accuracy => 65 13.180087051142547
  67. Train accuracy => 66 13.329706202393906
  68. Train accuracy => 67 13.465723612622416
  69. Train accuracy => 68 13.547334058759523
  70. Train accuracy => 69 13.764961915125138
  71. Train accuracy => 70 13.887377584330796
  72. Train accuracy => 71 14.036996735582155
  73. Train accuracy => 72 14.241022850924917
  74. Train accuracy => 73 14.349836779107724
  75. Train accuracy => 74 14.472252448313384
  76. Train accuracy => 75 14.621871599564745
  77. Train accuracy => 76 14.785092491838956
  78. Train accuracy => 77 15.070729053318823
  79. Train accuracy => 78 15.179542981501632
  80. Train accuracy => 79 15.465179542981502
  81. Train accuracy => 80 15.710010881392819
  82. Train accuracy => 81 15.859630032644178
  83. Train accuracy => 82 15.954842219804135
  84. Train accuracy => 83 16.1860718171926
  85. Train accuracy => 84 16.32208922742111
  86. Train accuracy => 85 16.430903155603918
  87. Train accuracy => 86 16.730141458106637
  88. Train accuracy => 87 16.9341675734494
  89. Train accuracy => 88 17.08378672470076
  90. Train accuracy => 89 17.178998911860717
  91. Train accuracy => 90 17.423830250272037
  92. Train accuracy => 91 17.75027203482046
  93. Train accuracy => 92 17.995103373231775
  94. Train accuracy => 93 18.158324265505986
  95. Train accuracy => 94 18.457562568008708
  96. Train accuracy => 95 18.675190424374318
  97. Train accuracy => 96 18.797606093579976
  98. Train accuracy => 97 18.96082698585419
  99. Train accuracy => 98 19.205658324265507
  100. Train accuracy => 99 19.40968443960827
  101. Train accuracy => 100 19.600108813928184
  102. Train accuracy => 101 19.70892274211099
  103. Train accuracy => 102 19.8449401523395
  104. Train accuracy => 103 20.048966267682264
  105. Train accuracy => 104 20.28019586507073
  106. Train accuracy => 105 20.40261153427639
  107. Train accuracy => 106 20.620239390642002
  108. Train accuracy => 107 20.715451577801957
  109. Train accuracy => 108 20.783460282916213
  110. Train accuracy => 109 20.87867247007617
  111. Train accuracy => 110 21.069096844396082
  112. Train accuracy => 111 21.164309031556037
  113. Train accuracy => 112 21.422742110990207
  114. Train accuracy => 113 21.59956474428727
  115. Train accuracy => 114 21.77638737758433
  116. Train accuracy => 115 21.871599564744287
  117. Train accuracy => 116 21.857997823721437
  118. Train accuracy => 117 21.966811751904245
  119. Train accuracy => 118 22.007616974972795
  120. Train accuracy => 119 22.198041349292712
  121. Train accuracy => 120 22.252448313384114
  122. Train accuracy => 121 22.388465723612622
  123. Train accuracy => 122 22.456474428726878
  124. Train accuracy => 123 22.592491838955386
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  126. Train accuracy => 125 23.000544069640913
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  128. Train accuracy => 127 23.24537540805223
  129. Train accuracy => 128 23.476605005440696
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  132. Train accuracy => 131 24.10228509249184
  133. Train accuracy => 132 24.347116430903156
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  136. Train accuracy => 135 25.163220892274214
  137. Train accuracy => 136 25.476060935799783
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  139. Train accuracy => 138 26.088139281828077
  140. Train accuracy => 139 26.48258977149075
  141. Train accuracy => 140 26.768226332970617
  142. Train accuracy => 141 27.189880304678997
  143. Train accuracy => 142 27.543525571273126
  144. Train accuracy => 143 28.00598476605006
  145. Train accuracy => 144 28.38683351468988
  146. Train accuracy => 145 28.849292709466813
  147. Train accuracy => 146 29.366158868335145
  148. Train accuracy => 147 29.760609357997826
  149. Train accuracy => 148 30.087051142546244
  150. Train accuracy => 149 30.59031556039173
  151. Train accuracy => 150 30.848748639825896
  152. Train accuracy => 151 31.107181719260062
  153. Train accuracy => 152 31.36561479869423
  154. Train accuracy => 153 31.542437431991292
  155. Train accuracy => 154 31.678454842219807
  156. Train accuracy => 155 31.76006528835691
  157. Train accuracy => 156 31.977693144722526
  158. Train accuracy => 157 32.05930359085963
  159. Train accuracy => 158 32.16811751904244
  160. Train accuracy => 159 32.29053318824809
  161. Train accuracy => 160 32.467355821545155
  162. Train accuracy => 161 32.45375408052231
  163. Train accuracy => 162 32.54896626768226
  164. Train accuracy => 163 32.61697497279652
  165. Train accuracy => 164 32.698585418933625
  166. Train accuracy => 165 32.68498367791077
  167. Train accuracy => 166 32.71218715995647
  168. Train accuracy => 167 32.76659412404788
  169. Train accuracy => 168 32.752992383025024
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  171. Train accuracy => 170 32.73939064200218
  172. Train accuracy => 171 32.76659412404788
  173. Train accuracy => 172 32.752992383025024
  174. Train accuracy => 173 32.80739934711643
  175. Train accuracy => 174 32.76659412404788
  176. Train accuracy => 175 32.752992383025024
  177. Train accuracy => 176 32.698585418933625
  178. Train accuracy => 177 32.71218715995647
  179. Train accuracy => 178 32.725788900979325
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  202. Train accuracy => 201 32.29053318824809
  203. Train accuracy => 202 32.304134929270944
  204. Train accuracy => 203 32.26332970620239
  205. Train accuracy => 204 32.22252448313384
  206. Train accuracy => 205 32.20892274211099
  207. Train accuracy => 206 32.10010881392819
  208. Train accuracy => 207 32.045701849836774
  209. Train accuracy => 208 32.018498367791075
  210. Train accuracy => 209 31.950489662676823
  211. Train accuracy => 210 31.88248095756257
  212. Train accuracy => 211 31.787268770402612
  213. Train accuracy => 212 31.787268770402612
  214. Train accuracy => 213 31.76006528835691
  215. Train accuracy => 214 31.651251360174104
  216. Train accuracy => 215 31.583242655059845
  217. Train accuracy => 216 31.542437431991292
  218. Train accuracy => 217 31.48803046789989
  219. Train accuracy => 218 31.406420021762788
  220. Train accuracy => 219 31.32480957562568
  221. Train accuracy => 220 31.243199129488573
  222. Train accuracy => 221 31.107181719260062
  223. Train accuracy => 222 30.998367791077257
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  229. Train accuracy => 228 30.576713819368877
  230. Train accuracy => 229 30.535908596300327
  231. Train accuracy => 230 30.454298150163222
  232. Train accuracy => 231 30.29107725788901
  233. Train accuracy => 232 30.195865070729056
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  236. Train accuracy => 235 29.86942328618063
  237. Train accuracy => 236 29.801414581066375
  238. Train accuracy => 237 29.678998911860717
  239. Train accuracy => 238 29.54298150163221
  240. Train accuracy => 239 29.488574537540806
  241. Train accuracy => 240 29.393362350380848
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  300. Train accuracy => 299 32.698585418933625
  301. Train accuracy => 300 33.052230685527746
  302. Train accuracy => 301 33.541893362350386
  303. Train accuracy => 302 33.827529923830255
  304. Train accuracy => 303 33.99075081610446
  305. Train accuracy => 304 34.34439608269859
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  470. Train accuracy => 469 30.345484221980414
  471. Train accuracy => 470 30.33188248095756
  472. Train accuracy => 471 30.30467899891186
  473. Train accuracy => 472 30.23667029379761
  474. Train accuracy => 473 30.195865070729056
  475. Train accuracy => 474 30.1550598476605
  476. Train accuracy => 475 30.046245919477695
  477. Train accuracy => 476 29.991838955386292
  478. Train accuracy => 477 29.95103373231774
  479. Train accuracy => 478 29.842219804134928
  480. Train accuracy => 479 29.787812840043525
  481. Train accuracy => 480 29.69260065288357
  482. Train accuracy => 481 29.59738846572361
  483. Train accuracy => 482 29.502176278563656
  484. Train accuracy => 483 29.461371055495107
  485. Train accuracy => 484 29.406964091403697
  486. Train accuracy => 485 29.311751904243742
  487. Train accuracy => 486 29.17573449401523
  488. Train accuracy => 487 29.10772578890098
  489. Train accuracy => 488 29.039717083786726
  490. Train accuracy => 489 28.930903155603914
  491. Train accuracy => 490 28.849292709466813
  492. Train accuracy => 491 28.7132752992383
  493. Train accuracy => 492 28.7132752992383
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