learning_stats.csv 2.1 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100
  1. 1000, 0.02629, 0.005
  2. 2000, 0.01167, 0.005
  3. 3000, 0.00954, 0.005
  4. 4000, 0.00867, 0.005
  5. 5000, 0.00797, 0.005
  6. 6000, 0.00736, 0.005
  7. 7000, 0.00739, 0.005
  8. 8000, 0.00692, 0.005
  9. 9000, 0.00666, 0.005
  10. 10000, 0.00638, 0.005
  11. 11000, 0.00765, 0.02
  12. 12000, 0.00719, 0.02
  13. 13000, 0.00630, 0.02
  14. 14000, 0.00596, 0.02
  15. 15000, 0.00576, 0.02
  16. 16000, 0.00533, 0.02
  17. 17000, 0.00533, 0.02
  18. 18000, 0.00503, 0.02
  19. 19000, 0.00471, 0.02
  20. 20000, 0.00484, 0.02
  21. 21000, 0.00460, 0.02
  22. 22000, 0.00453, 0.02
  23. 23000, 0.00436, 0.02
  24. 24000, 0.00430, 0.02
  25. 25000, 0.00420, 0.02
  26. 26000, 0.00420, 0.02
  27. 27000, 0.00410, 0.02
  28. 28000, 0.00400, 0.02
  29. 29000, 0.00398, 0.02
  30. 30000, 0.00378, 0.02
  31. 31000, 0.00373, 0.02
  32. 32000, 0.00366, 0.02
  33. 33000, 0.00365, 0.02
  34. 34000, 0.00367, 0.02
  35. 35000, 0.00355, 0.02
  36. 36000, 0.00358, 0.02
  37. 37000, 0.00352, 0.02
  38. 38000, 0.00346, 0.02
  39. 39000, 0.00337, 0.02
  40. 40000, 0.00339, 0.02
  41. 41000, 0.00332, 0.02
  42. 42000, 0.00335, 0.02
  43. 43000, 0.00331, 0.02
  44. 44000, 0.00325, 0.02
  45. 45000, 0.00324, 0.02
  46. 46000, 0.00331, 0.02
  47. 47000, 0.00337, 0.02
  48. 48000, 0.00319, 0.02
  49. 49000, 0.00317, 0.02
  50. 50000, 0.00308, 0.02
  51. 51000, 0.00320, 0.02
  52. 52000, 0.00311, 0.02
  53. 53000, 0.00305, 0.02
  54. 54000, 0.00306, 0.02
  55. 55000, 0.00307, 0.02
  56. 56000, 0.00298, 0.02
  57. 57000, 0.00320, 0.02
  58. 58000, 0.00311, 0.02
  59. 59000, 0.00303, 0.02
  60. 60000, 0.00303, 0.02
  61. 61000, 0.00299, 0.02
  62. 62000, 0.00302, 0.02
  63. 63000, 0.00298, 0.02
  64. 64000, 0.00291, 0.02
  65. 65000, 0.00304, 0.02
  66. 66000, 0.00301, 0.02
  67. 67000, 0.00283, 0.02
  68. 68000, 0.00282, 0.02
  69. 69000, 0.00291, 0.02
  70. 70000, 0.00290, 0.02
  71. 71000, 0.00278, 0.02
  72. 72000, 0.00276, 0.02
  73. 73000, 0.00280, 0.02
  74. 74000, 0.00268, 0.02
  75. 75000, 0.00272, 0.02
  76. 76000, 0.00274, 0.02
  77. 77000, 0.00279, 0.02
  78. 78000, 0.00272, 0.02
  79. 79000, 0.00272, 0.02
  80. 80000, 0.00271, 0.02
  81. 81000, 0.00260, 0.02
  82. 82000, 0.00273, 0.02
  83. 83000, 0.00262, 0.02
  84. 84000, 0.00259, 0.02
  85. 85000, 0.00269, 0.02
  86. 86000, 0.00256, 0.02
  87. 87000, 0.00258, 0.02
  88. 88000, 0.00259, 0.02
  89. 89000, 0.00256, 0.02
  90. 90000, 0.00251, 0.02
  91. 91000, 0.00253, 0.02
  92. 92000, 0.00257, 0.02
  93. 93000, 0.00252, 0.02
  94. 94000, 0.00248, 0.02
  95. 95000, 0.00254, 0.02
  96. 96000, 0.00251, 0.02
  97. 97000, 0.00255, 0.02
  98. 98000, 0.00251, 0.02
  99. 99000, 0.00249, 0.02
  100. 100000, 0.00241, 0.02