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  1. {'age': 22, 'gender': 1, 'orientation': 2, 'pansexual': 0, 'asexual': 0, 'custom_gender': 0, 'faith_and_spirituality': 3, 'friends_look_advice': 4, 'make_rather_than_buy': 4, 'more_talented_than_peers': 4, 'value_cutting_edge_': 4, 'rather_patronize_small_businesses': 4, 'enjoy_creating_things': 4, 'ahead_of_pop_culture': 3, 'tendency_to_overthink': 5, 'mass_media_lcd': 4, 'enjoy_leading': 4, 'focus_on_specific_interests': 5, 'too_reliant_on_tech': 4, 'filesharing_nbd': 4, 'citizens_politically_active': 4, 'want_to_be_fashionable': 3, 'exciting_rather_than_predictable': 4, 'learning_for_learnings_sake': 5, 'routine_is_comforting': 4, 'advertising_is_useful': 3, 'other_people_think_important': 4, 'learn_about_universe': 5, 'find_simpler_option': 3, 'decisions_moral_code': 4, 'people_more_distant': 4, 'first_to_try_new_things': 4, 'consider_intellectual': 5, 'buy_on_impulse': 4, 'corporations_soulless': 4, 'enjoy_traveling': 5}
  2. Best accuracy,r with cross validation for animal_wolf:[0.5573033658762554, 1e-13]
  3. Best accuracy,r with cross validation for animal_redfox:[0.5210474334210273, 1e-09]
  4. Best accuracy,r with cross validation for animal_greyfox:[0.49948782043998496, 1e-09]
  5. Best accuracy,r with cross validation for animal_arcticfox:[0.5202957705855105, 1e-09]
  6. Best accuracy,r with cross validation for animal_kitsune:[0.5292999921337611, 1e-16]
  7. Best accuracy,r with cross validation for animal_otherfox:[0.49388050308968384, 1e-09]
  8. Best accuracy,r with cross validation for animal_coyote:[0.6104931257811612, 1e-13]
  9. Best accuracy,r with cross validation for animal_jackal:[0.6046065569472001, 1e-13]
  10. Best accuracy,r with cross validation for animal_germanshepherd:[0.740861615375875, 1e-13]
  11. Best accuracy,r with cross validation for animal_husky:[0.4709849405224931, 1e-09]
  12. Best accuracy,r with cross validation for animal_collie:[0.5777765638520098, 1e-16]
  13. Best accuracy,r with cross validation for animal_otherdog:[0.5738950119304624, 1e-09]
  14. Best accuracy,r with cross validation for animal_othercanine:[0.5493436060587521, 1e-13]
  15. Best accuracy,r with cross validation for animal_tiger:[0.49016326816008676, 1e-09]
  16. Best accuracy,r with cross validation for animal_lion:[0.6315401221889121, 1e-09]
  17. Best accuracy,r with cross validation for animal_leopard:[0.5280392088311643, 1e-09]
  18. Best accuracy,r with cross validation for animal_snowleopard:[0.6135404193579401, 1e-13]
  19. Best accuracy,r with cross validation for animal_panther:[0.6592624963946404, 1e-16]
  20. Best accuracy,r with cross validation for animal_cheetah:[0.6339135412933846, 1e-16]
  21. Best accuracy,r with cross validation for animal_cougar:[0.5697521260695899, 1e-09]
  22. Best accuracy,r with cross validation for animal_domesticcat:[0.5907724646674767, 1e-13]
  23. Best accuracy,r with cross validation for animal_otherfeline:[0.6365128962617884, 1e-16]
  24. Best accuracy,r with cross validation for animal_dragon:[0.5309973516995447, 1e-16]
  25. Best accuracy,r with cross validation for animal_lizard:[0.5360500992020137, 1e-16]
  26. Best accuracy,r with cross validation for animal_dinosaur:[0.5954926450665572, 1e-13]
  27. Best accuracy,r with cross validation for animal_otherreptile:[0.7295381643694335, 1e-13]
  28. Best accuracy,r with cross validation for animal_raccoon:[0.7334616695655214, 1e-13]
  29. Best accuracy,r with cross validation for animal_skunk:[0.6356344995760972, 1e-09]
  30. Best accuracy,r with cross validation for animal_badger:[0.5452942410390428, 1e-09]
  31. Best accuracy,r with cross validation for animal_riverotter:[0.3812141102846704, 1e-13]
  32. Best accuracy,r with cross validation for animal_seaotter:[0.6845620689956561, 1e-09]
  33. Best accuracy,r with cross validation for animal_weasel:[0.5449166615681784, 1e-13]
  34. Best accuracy,r with cross validation for animal_othermustelid:[0.5479123875783346, 1e-16]
  35. Best accuracy,r with cross validation for animal_redpanda:[0.583286864254936, 1e-09]
  36. Best accuracy,r with cross validation for animal_othermusteloid:[0.7172200711457614, 1e-09]
  37. Best accuracy,r with cross validation for animal_horse:[0.5448353770987563, 1e-09]
  38. Best accuracy,r with cross validation for animal_deer:[0.7166257330897712, 1e-09]
  39. Best accuracy,r with cross validation for animal_otherungulate:[0.5402930611031962, 1e-13]
  40. Best accuracy,r with cross validation for animal_brownbear:[0.5030669591742197, 1e-13]
  41. Best accuracy,r with cross validation for animal_grizzlybear:[0.5591715976331362, 1e-16]
  42. Best accuracy,r with cross validation for animal_pandabear:[0.5136994921905728, 1e-13]
  43. Best accuracy,r with cross validation for animal_polarbear:[0.6199771879069687, 1e-13]
  44. Best accuracy,r with cross validation for animal_otherbear:[0.5696734636798266, 1e-09]
  45. Best accuracy,r with cross validation for animal_mouse:[0.5419777472839625, 1e-13]
  46. Best accuracy,r with cross validation for animal_rat:[0.6699409158050221, 1e-09]
  47. Best accuracy,r with cross validation for animal_squirrel:[0.6152836653177524, 1e-16]
  48. Best accuracy,r with cross validation for animal_other:[0.6303916512983665, 1e-09]
  49. Best accuracy,r with cross validation for animal_raven:[0.5133804724987545, 1e-13]
  50. Best accuracy,r with cross validation for animal_raptor:[0.8185853006214329, 1e-13]
  51. Best accuracy,r with cross validation for animal_otherbird:[0.5378265581708372, 1e-09]
  52. Best accuracy,r with cross validation for animal_rabbit:[0.6202726088818579, 1e-13]
  53. Best accuracy,r with cross validation for animal_kangaroo:[0.6259529074493283, 1e-09]
  54. Best accuracy,r with cross validation for animal_koala:[0.5842670850340432, 1e-16]
  55. Best accuracy,r with cross validation for animal_othermarsupial:[0.6489878772517108, 1e-13]
  56. Best accuracy,r with cross validation for animal_lemur:[0.6160169735956578, 1e-09]
  57. Best accuracy,r with cross validation for animal_monkey:[0.5747432547000779, 1e-09]
  58. Best accuracy,r with cross validation for animal_otherprimate:[0.6404381495109821, 1e-16]
  59. Best accuracy,r with cross validation for animal_hyaena:[0.5213647050597398, 1e-13]
  60. Best accuracy,r with cross validation for animal_bat:[0.6232622167061435, 1e-16]
  61. Best accuracy,r with cross validation for animal_griffin:[0.7172209451723144, 1e-09]
  62. Best results: {'animal_wolf': [1e-13], 'animal_redfox': [1e-09], 'animal_greyfox': [1e-09], 'animal_arcticfox': [1e-09], 'animal_kitsune': [1e-16], 'animal_otherfox': [1e-09], 'animal_coyote': [1e-13], 'animal_jackal': [1e-13], 'animal_germanshepherd': [1e-13], 'animal_husky': [1e-09], 'animal_collie': [1e-16], 'animal_otherdog': [1e-09], 'animal_othercanine': [1e-13], 'animal_tiger': [1e-09], 'animal_lion': [1e-09], 'animal_leopard': [1e-09], 'animal_snowleopard': [1e-13], 'animal_panther': [1e-16], 'animal_cheetah': [1e-16], 'animal_cougar': [1e-09], 'animal_domesticcat': [1e-13], 'animal_otherfeline': [1e-16], 'animal_dragon': [1e-16], 'animal_lizard': [1e-16], 'animal_dinosaur': [1e-13], 'animal_otherreptile': [1e-13], 'animal_raccoon': [1e-13], 'animal_skunk': [1e-09], 'animal_badger': [1e-09], 'animal_riverotter': [1e-13], 'animal_seaotter': [1e-09], 'animal_weasel': [1e-13], 'animal_othermustelid': [1e-16], 'animal_redpanda': [1e-09], 'animal_othermusteloid': [1e-09], 'animal_horse': [1e-09], 'animal_deer': [1e-09], 'animal_otherungulate': [1e-13], 'animal_brownbear': [1e-13], 'animal_grizzlybear': [1e-16], 'animal_pandabear': [1e-13], 'animal_polarbear': [1e-13], 'animal_otherbear': [1e-09], 'animal_mouse': [1e-13], 'animal_rat': [1e-09], 'animal_squirrel': [1e-16], 'animal_other': [1e-09], 'animal_raven': [1e-13], 'animal_raptor': [1e-13], 'animal_otherbird': [1e-09], 'animal_rabbit': [1e-13], 'animal_kangaroo': [1e-09], 'animal_koala': [1e-16], 'animal_othermarsupial': [1e-13], 'animal_lemur': [1e-09], 'animal_monkey': [1e-09], 'animal_otherprimate': [1e-16], 'animal_hyaena': [1e-13], 'animal_bat': [1e-16], 'animal_griffin': [1e-09]}
  63. Final accuracy of animal_wolf:0.48404255319148937
  64. Final accuracy of animal_redfox:0.4601063829787234
  65. Final accuracy of animal_greyfox:0.26861702127659576
  66. Final accuracy of animal_arcticfox:0.5593971631205674
  67. Final accuracy of animal_kitsune:0.41932624113475175
  68. Final accuracy of animal_otherfox:0.6873522458628841
  69. Final accuracy of animal_coyote:0.6007683215130024
  70. Final accuracy of animal_jackal:0.7112884160756501
  71. Final accuracy of animal_germanshepherd:0.10283687943262411
  72. Final accuracy of animal_husky:0.79048463356974
  73. Final accuracy of animal_collie:0.567966903073286
  74. Final accuracy of animal_otherdog:0.5856973995271868
  75. Final accuracy of animal_othercanine:0.46956264775413714
  76. Final accuracy of animal_tiger:0.5067966903073287
  77. Final accuracy of animal_lion:0.8108747044917257
  78. Final accuracy of animal_leopard:0.5573286052009456
  79. Final accuracy of animal_snowleopard:0.7405437352245863
  80. Final accuracy of animal_panther:0.3126477541371158
  81. Final accuracy of animal_cheetah:0.7718676122931442
  82. Final accuracy of animal_cougar:0.291371158392435
  83. Final accuracy of animal_domesticcat:0.2901891252955083
  84. Final accuracy of animal_otherfeline:0.6338652482269503
  85. Final accuracy of animal_dragon:0.333628841607565
  86. Final accuracy of animal_lizard:0.5821513002364066
  87. Final accuracy of animal_dinosaur:0.4391252955082742
  88. Final accuracy of animal_otherreptile:0.44739952718676124
  89. Final accuracy of animal_raccoon:0.3472222222222222
  90. Final accuracy of animal_skunk:0.12381796690307328
  91. Final accuracy of animal_badger:0.7183806146572104
  92. Final accuracy of animal_riverotter:0.39243498817966904
  93. Final accuracy of animal_seaotter:0.7828014184397163
  94. Final accuracy of animal_weasel:0.42700945626477543
  95. Final accuracy of animal_othermustelid:0.27570921985815605
  96. Final accuracy of animal_redpanda:0.7402482269503546
  97. Final accuracy of animal_othermusteloid:0.2322695035460993
  98. Final accuracy of animal_horse:0.4326241134751773
  99. Final accuracy of animal_deer:0.48286052009456265
  100. Final accuracy of animal_otherungulate:0.13091016548463358
  101. Final accuracy of animal_brownbear:0.6341607565011821
  102. Final accuracy of animal_grizzlybear:0.32978723404255317
  103. Final accuracy of animal_pandabear:0.5124113475177305
  104. Final accuracy of animal_polarbear:0.27925531914893614
  105. Final accuracy of animal_otherbear:0.666371158392435
  106. Final accuracy of animal_mouse:0.4169621749408983
  107. Final accuracy of animal_rat:0.35756501182033096
  108. Final accuracy of animal_squirrel:0.4370567375886525
  109. Final accuracy of animal_other:0.2047872340425532
  110. Final accuracy of animal_raven:0.3552009456264775
  111. Final accuracy of animal_raptor:0.40632387706855794
  112. Final accuracy of animal_otherbird:0.2969858156028369
  113. Final accuracy of animal_rabbit:0.8856382978723404
  114. Final accuracy of animal_kangaroo:0.6069739952718676
  115. Final accuracy of animal_koala:0.28930260047281325
  116. Final accuracy of animal_othermarsupial:0.3262411347517731
  117. Final accuracy of animal_lemur:0.5206855791962175
  118. Final accuracy of animal_monkey:0.2473404255319149
  119. Final accuracy of animal_otherprimate:0.6214539007092199
  120. Final accuracy of animal_hyaena:0.28900709219858156
  121. Final accuracy of animal_bat:0.6524822695035462
  122. Final accuracy of animal_griffin:0.13947990543735225
  123. [['animal_wolf', 0.48404255319148937, array([-0.00552325, -0.00092377, 0.00613361, -0.00962037, -0.00683571,
  124. 0.000254 , 0.00037399, 0.00622067, 0.00183708, 0.00441984,
  125. 0.00407375, 0.00426465, 0.00967524, 0.00292152, 0.00766093,
  126. 0.00088789, -0.00665116, -0.00055863, 0.00377606, -0.00631976,
  127. -0.00175297, -0.0042227 , -0.00560171, 0.00970849, 0.00100901,
  128. 0.00986597, -0.0093382 , 0.00025423, 0.00556897, -0.00640042,
  129. -0.00765952, -0.00458917, 0.00842336, 0.00091217, 0.00315278,
  130. -0.00013043]), -0.009478751825734117], ['animal_redfox', 0.4601063829787234, array([-0.00318375, -0.00966363, -0.00560972, -0.0013451 , 0.00745347,
  131. 0.00682366, 0.00811978, -0.0070754 , -0.00680659, 0.00312673,
  132. -0.00918659, 0.00318276, 0.00527405, 0.00839159, 0.00928243,
  133. 0.00441501, 0.00086075, 0.00736366, -0.00752929, 0.00964175,
  134. -0.00780409, -0.00645614, 0.00625232, -0.00811611, 0.00093639,
  135. -0.00907424, -0.00626033, 0.00406319, 0.00538844, -0.00774014,
  136. -0.00577236, 0.00448275, 0.00841965, 0.00919884, -0.00288296,
  137. 0.00971684]), 0.006261785659274041], ['animal_greyfox', 0.26861702127659576, array([-0.00836054, 0.00469785, 0.00505455, 0.00586035, -0.00408144,
  138. 0.00706038, -0.00445879, 0.00608511, -0.00922511, 0.00552663,
  139. -0.00780525, 0.00992263, 0.00680097, -0.0076127 , 0.00644957,
  140. -0.00986471, 0.0043687 , -0.00111001, 0.00206178, 0.00358397,
  141. -0.00419939, -0.00223153, -0.00470919, -0.00370706, 0.00707957,
  142. 0.00928023, -0.00386248, -0.00235533, -0.00839201, -0.00212724,
  143. 0.00933305, -0.0041229 , 0.00234906, 0.00750681, -0.00129843,
  144. -0.00945466]), -0.0010500604416848257], ['animal_arcticfox', 0.5593971631205674, array([-0.00373867, -0.00132246, 0.00144593, 0.00545159, -0.00523197,
  145. 0.00235412, 0.00461692, -0.00136242, 0.00850124, -0.00858504,
  146. -0.00053219, -0.0017803 , 0.00804447, 0.00133718, -0.00026335,
  147. -0.00037344, 0.00715622, 0.00143877, 0.00276611, 0.002429 ,
  148. -0.0076745 , -0.00294855, -0.00524243, 0.00384785, 0.00169333,
  149. -0.00109224, -0.00424358, -0.00549997, -0.00247859, -0.00695786,
  150. 0.00200635, 0.00068405, 0.00658843, -0.00382445, -0.00181949,
  151. 0.00879291]), 0.0026291983560208666], ['animal_kitsune', 0.41932624113475175, array([ 0.00850074, 0.00878712, -0.00169148, 0.00778975, 0.00579447,
  152. -0.00451848, 0.00131305, 0.00133952, 0.00795746, -0.00148981,
  153. -0.00696601, 0.00541244, -0.00436689, -0.00329356, 0.00196663,
  154. -0.00874233, 0.00722115, -0.00990653, -0.00188751, 0.00970997,
  155. 0.00815874, -0.0021444 , -0.00604653, -0.00781929, 0.00287321,
  156. -0.00379986, 0.00427877, 0.00828796, -0.00999244, 0.00203202,
  157. -0.00358577, 0.00016015, -0.00441203, 0.0024368 , 0.0059137 ,
  158. -0.00338575]), -0.00840572166127805], ['animal_otherfox', 0.6873522458628841, array([ 0.00260367, 0.00626974, 0.00543585, 0.00863932, -0.00212346,
  159. 0.00622297, -0.00649571, 0.00676815, 0.00083997, 0.0002164 ,
  160. 0.00625245, 0.00040709, -0.00111725, -0.00022895, 0.0066206 ,
  161. -0.00407741, -0.00506241, -0.00627315, -0.00501636, 0.00915946,
  162. 0.00985269, 0.00468336, -0.00839315, -0.00995874, -0.00180938,
  163. 0.0085556 , 0.00915932, 0.00426165, -0.00853585, 0.00389339,
  164. -0.00798539, 0.00260291, -0.00285082, 0.00086684, -0.00039646,
  165. 0.00252838]), -0.002502537374294503], ['animal_coyote', 0.6007683215130024, array([ 9.70894397e-03, 8.84719775e-04, -6.90717805e-03, 1.02541454e-03,
  166. 3.44687648e-03, 9.26827316e-03, -6.60342978e-03, 1.22825144e-05,
  167. -5.26768701e-03, 6.25952283e-03, 3.52863916e-03, -5.91702747e-03,
  168. 4.94782537e-03, 9.33389211e-03, -2.18846114e-03, 2.87060230e-03,
  169. -6.56240245e-03, -9.45124387e-03, -3.32288707e-04, 3.48512703e-03,
  170. 4.77852488e-03, 3.54533637e-03, 3.45210362e-03, 8.20082066e-04,
  171. 1.07076560e-03, -5.69937442e-03, -6.92865267e-04, -7.81208298e-03,
  172. -3.06755089e-03, 9.76537532e-03, 1.01273793e-03, 3.57573256e-03,
  173. -5.41820459e-03, -5.22955292e-03, -7.81873541e-03, 4.78305027e-03]), -0.009083788020886434], ['animal_jackal', 0.7112884160756501, array([-0.00230565, -0.0042296 , 0.00922817, 0.00697093, -0.00135531,
  174. -0.00991677, -0.00371124, 0.0018081 , -0.00380879, 0.00185382,
  175. 0.00619781, -0.00611459, 0.00930177, 0.00247839, -0.00643922,
  176. 0.00932352, 0.00785246, -0.00201451, 0.00828233, 0.00927762,
  177. 0.00650577, -0.00251526, 0.00593621, 0.00448634, 0.0013928 ,
  178. 0.00332839, 0.00155654, 0.00079291, -0.00997178, -0.0077317 ,
  179. -0.00797974, -0.00190282, 0.00944875, -0.00203175, -0.0055038 ,
  180. 0.00496694]), 0.008684993693524086], ['animal_germanshepherd', 0.10283687943262411, array([-4.87767247e-03, 3.88743160e-03, -9.72582653e-03, 7.53013439e-03,
  181. -9.78576571e-03, 1.41733176e-03, -9.69475893e-03, -3.97180923e-03,
  182. -8.52565286e-03, 8.34060644e-03, 4.07763593e-03, -7.87719430e-03,
  183. -8.51067186e-03, -5.55577508e-04, 1.34827500e-03, 3.65711066e-05,
  184. -1.35132698e-03, -9.31093064e-03, -8.95765059e-03, -8.38537353e-03,
  185. 7.30559231e-03, -6.27106580e-03, -9.79833910e-04, -2.05554724e-03,
  186. -9.20521624e-03, -4.19777401e-03, -4.72166990e-03, 1.54387808e-03,
  187. 2.95624182e-03, 9.66028362e-03, 6.93284160e-04, -6.41062796e-03,
  188. 3.38408096e-03, -6.59001574e-03, -9.66013890e-03, -2.90744079e-03]), -0.0014224504944479071], ['animal_husky', 0.79048463356974, array([-3.83837650e-03, -5.80254478e-03, 3.55914148e-03, -7.12317945e-03,
  189. -3.06032689e-03, 2.75543264e-03, 6.82193506e-03, -5.23431481e-03,
  190. 8.82543865e-03, 7.80128297e-03, 7.07843417e-03, -5.10906705e-03,
  191. -3.75694333e-03, -3.59093893e-03, 7.10486206e-03, 9.13851494e-03,
  192. 3.12125708e-03, 2.72854393e-03, -6.72303906e-03, -1.48585793e-03,
  193. -4.33207384e-03, -9.73256611e-04, 5.44373172e-04, 4.14907972e-03,
  194. -6.16990322e-03, 6.61731163e-03, 7.05727455e-04, 7.81935396e-03,
  195. 5.19353080e-03, 7.75152425e-03, 4.21848341e-03, 2.05425142e-03,
  196. -2.26010535e-03, -8.21405376e-03, -8.71512069e-05, 4.21741969e-03]), -0.005498175556955059], ['animal_collie', 0.567966903073286, array([-0.00919177, -0.00831113, 0.00769283, 0.00242121, 0.00271355,
  197. 0.00179476, -0.00851841, -0.00365315, 0.00209813, 0.00598764,
  198. 0.00439073, 0.00486007, -0.00612303, 0.00922241, 0.00553692,
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  200. -0.0073768 , -0.0025944 , 0.00894827, -0.00091943, -0.00290156,
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  560. -0.00706564]), 0.007264047342865033]]
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