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  1. run 0
  2. nr +1= 2979
  3. confidence: [ -0.53952447 0.8091546 1.43390378 0.56401928 -9.65792126
  4. 0.47469555 -10.58601576 -9.85348428 -2.62437641 -1.6493778
  5. -8.95728858 -8.69672477 -9.54918469 -3.4911379 -19.79526969
  6. -4.4369263 1.94337582 -11.14565985 -6.53498222 -5.73395282
  7. -8.12364493 -3.19512137 -0.78280829 1.53376431 -3.78852627
  8. -6.81830271 -9.29909186 -1.39992962 -14.45758618 2.22509027
  9. -7.96249166 -8.09451716 9.26716165 -6.12878168 -0.13309596
  10. -17.24469529 -3.13367674 -0.4396041 -12.12537097 -0.9379692
  11. -1.14749305 -17.79133207 -7.56276889 -14.51511597 -5.35065559
  12. -12.35366916 0.64250789 -5.35778898 -4.47757473 0.6624159
  13. -4.90692753 -5.33852463 5.34615095 -0.0735334 -10.54290668
  14. 0.84529454 1.02781238 0.28351815 -11.68194747 -6.17989011
  15. -1.86547033 -3.48313736 -8.30285231 -6.85892919 8.27694604
  16. -8.53497133 1.55140498 -2.40074146 2.97245115 -9.80606362
  17. -9.85008559 -8.17478107 -7.13822661 -4.08745185 1.41538099
  18. -15.54318091 -2.93634513 -11.73371126 4.83994044 -2.84802823
  19. -16.16629409 -7.49773533 -1.52693353 1.53078887 1.4279623
  20. 3.26126383 -7.71967868 -2.7960069 6.73840864 -0.9450214
  21. 4.37598386 -9.15153261 -4.2393824 -9.20636181 -2.60011985
  22. -3.64137784 -0.11285979 -3.86767778 -2.96181128 4.02506725]
  23. AVP SVM 0.0377986984736
  24. ACC SVM 0.404483037157
  25. run 1
  26. nr +1= 2986
  27. confidence: [ -0.53952447 0.8091546 1.43390378 0.56401928 -9.65792126
  28. 0.47469555 -10.58601576 -9.85348428 -2.62437641 -1.6493778
  29. -8.95728858 -8.69672477 -9.54918469 -3.4911379 -19.79526969
  30. -4.4369263 1.94337582 -11.14565985 -6.53498222 -5.73395282
  31. -8.12364493 -3.19512137 -0.78280829 1.53376431 -3.78852627
  32. -6.81830271 -9.29909186 -1.39992962 -14.45758618 2.22509027
  33. -7.96249166 -8.09451716 9.26716165 -6.12878168 -0.13309596
  34. -17.24469529 -3.13367674 -0.4396041 -12.12537097 -0.9379692
  35. -1.14749305 -17.79133207 -7.56276889 -14.51511597 -5.35065559
  36. -12.35366916 0.64250789 -5.35778898 -4.47757473 0.6624159
  37. -4.90692753 -5.33852463 5.34615095 -0.0735334 -10.54290668
  38. 0.84529454 1.02781238 0.28351815 -11.68194747 -6.17989011
  39. -1.86547033 -3.48313736 -8.30285231 -6.85892919 8.27694604
  40. -8.53497133 1.55140498 -2.40074146 2.97245115 -9.80606362
  41. -9.85008559 -8.17478107 -7.13822661 -4.08745185 1.41538099
  42. -15.54318091 -2.93634513 -11.73371126 4.83994044 -2.84802823
  43. -16.16629409 -7.49773533 -1.52693353 1.53078887 1.4279623
  44. 3.26126383 -7.71967868 -2.7960069 6.73840864 -0.9450214
  45. 4.37598386 -9.15153261 -4.2393824 -9.20636181 -2.60011985
  46. -3.64137784 -0.11285979 -3.86767778 -2.96181128 4.02506725]
  47. AVP SVM 0.0379772378916
  48. ACC SVM 0.403069466882
  49. run 2
  50. nr +1= 2685
  51. confidence: [ -0.53952447 0.8091546 1.43390378 0.56401928 -8.65792126
  52. 1.47469555 -9.58601576 -8.85348428 -1.62437641 -0.6493778
  53. -7.95728858 -7.69672477 -8.54918469 -2.4911379 -18.79526969
  54. -3.4369263 2.94337582 -10.14565985 -5.53498222 -4.73395282
  55. -7.12364493 -2.19512137 0.21719171 2.53376431 -2.78852627
  56. -5.81830271 -8.29909186 -0.39992962 -13.45758618 3.22509027
  57. -6.96249166 -7.09451716 10.26716165 -5.12878168 0.86690404
  58. -16.24469529 -2.13367674 0.5603959 -11.12537097 0.0620308
  59. -0.14749305 -16.79133207 -6.56276889 -13.51511597 -4.35065559
  60. -11.35366916 1.64250789 -4.35778898 -3.47757473 1.6624159
  61. -3.90692753 -4.33852463 6.34615095 0.9264666 -9.54290668
  62. 1.84529454 2.02781238 1.28351815 -10.68194747 -5.17989011
  63. -0.86547033 -2.48313736 -7.30285231 -5.85892919 9.27694604
  64. -7.53497133 2.55140498 -1.40074146 3.97245115 -8.80606362
  65. -8.85008559 -7.17478107 -6.13822661 -3.08745185 2.41538099
  66. -14.54318091 -1.93634513 -10.73371126 5.83994044 -1.84802823
  67. -15.16629409 -6.49773533 -0.52693353 2.53078887 2.4279623
  68. 4.26126383 -6.71967868 -1.7960069 7.73840864 0.0549786
  69. 5.37598386 -8.15153261 -3.2393824 -8.20636181 -1.60011985
  70. -2.64137784 0.88714021 -2.86767778 -1.96181128 5.02506725]
  71. AVP SVM 0.0366632924583
  72. ACC SVM 0.456179321486
  73. run 3
  74. nr +1= 2685
  75. confidence: [ -0.53952447 0.8091546 1.43390378 0.56401928 -8.65792126
  76. 1.47469555 -9.58601576 -8.85348428 -1.62437641 -0.6493778
  77. -7.95728858 -7.69672477 -8.54918469 -2.4911379 -18.79526969
  78. -3.4369263 2.94337582 -10.14565985 -5.53498222 -4.73395282
  79. -7.12364493 -2.19512137 0.21719171 2.53376431 -2.78852627
  80. -5.81830271 -8.29909186 -0.39992962 -13.45758618 3.22509027
  81. -6.96249166 -7.09451716 10.26716165 -5.12878168 0.86690404
  82. -16.24469529 -2.13367674 0.5603959 -11.12537097 0.0620308
  83. -0.14749305 -16.79133207 -6.56276889 -13.51511597 -4.35065559
  84. -11.35366916 1.64250789 -4.35778898 -3.47757473 1.6624159
  85. -3.90692753 -4.33852463 6.34615095 0.9264666 -9.54290668
  86. 1.84529454 2.02781238 1.28351815 -10.68194747 -5.17989011
  87. -0.86547033 -2.48313736 -7.30285231 -5.85892919 9.27694604
  88. -7.53497133 2.55140498 -1.40074146 3.97245115 -8.80606362
  89. -8.85008559 -7.17478107 -6.13822661 -3.08745185 2.41538099
  90. -14.54318091 -1.93634513 -10.73371126 5.83994044 -1.84802823
  91. -15.16629409 -6.49773533 -0.52693353 2.53078887 2.4279623
  92. 4.26126383 -6.71967868 -1.7960069 7.73840864 0.0549786
  93. 5.37598386 -8.15153261 -3.2393824 -8.20636181 -1.60011985
  94. -2.64137784 0.88714021 -2.86767778 -1.96181128 5.02506725]
  95. AVP SVM 0.0366632924583
  96. ACC SVM 0.456179321486
  97. run 4
  98. nr +1= 2986
  99. confidence: [ -0.53952447 0.8091546 1.43390378 0.56401928 -9.65792126
  100. 0.47469555 -10.58601576 -9.85348428 -2.62437641 -1.6493778
  101. -8.95728858 -8.69672477 -9.54918469 -3.4911379 -19.79526969
  102. -4.4369263 1.94337582 -11.14565985 -6.53498222 -5.73395282
  103. -8.12364493 -3.19512137 -0.78280829 1.53376431 -3.78852627
  104. -6.81830271 -9.29909186 -1.39992962 -14.45758618 2.22509027
  105. -7.96249166 -8.09451716 9.26716165 -6.12878168 -0.13309596
  106. -17.24469529 -3.13367674 -0.4396041 -12.12537097 -0.9379692
  107. -1.14749305 -17.79133207 -7.56276889 -14.51511597 -5.35065559
  108. -12.35366916 0.64250789 -5.35778898 -4.47757473 0.6624159
  109. -4.90692753 -5.33852463 5.34615095 -0.0735334 -10.54290668
  110. 0.84529454 1.02781238 0.28351815 -11.68194747 -6.17989011
  111. -1.86547033 -3.48313736 -8.30285231 -6.85892919 8.27694604
  112. -8.53497133 1.55140498 -2.40074146 2.97245115 -9.80606362
  113. -9.85008559 -8.17478107 -7.13822661 -4.08745185 1.41538099
  114. -15.54318091 -2.93634513 -11.73371126 4.83994044 -2.84802823
  115. -16.16629409 -7.49773533 -1.52693353 1.53078887 1.4279623
  116. 3.26126383 -7.71967868 -2.7960069 6.73840864 -0.9450214
  117. 4.37598386 -9.15153261 -4.2393824 -9.20636181 -2.60011985
  118. -3.64137784 -0.11285979 -3.86767778 -2.96181128 4.02506725]
  119. AVP SVM 0.0379772378916
  120. ACC SVM 0.403069466882
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