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  1. array([ 1, 7, 17, 2, 2, 13, 8, 11, 9, 4, 4, 3, 5, 2, 5, 7, 3,
  2. 12, 9, 13, 5, 2, 11, 13, 14, 19, 9, 11, 3, 6, 7, 10, 1, 6,
  3. 5, 10, 8, 5, 4, 3, 2, 10, 10, 10, 8, 13, 16, 6, 4, 6, 3,
  4. 11, 10, 1, 18, 7, 2, 12, 17, 4, 2, 19, 3, 4, 17, 13, 10, 2,
  5. 10, 1, 3, 4, 20, 3, 2, 1, 3, 5, 8, 8, 4, 3, 13, 3, 3,
  6. 5, 4, 17, 7, 6, 10, 5, 3, 9, 9, 8, 1, 5, 17, 5, 10, 9,
  7. 2, 7, 13, 2, 9, 1, 15, 13, 10, 4, 2, 4, 5, 4, 3, 3, 10,
  8. 4, 7, 5, 13, 12, 7, 5, 6, 9, 5, 11, 7, 1, 4, 12, 4, 3,
  9. 11, 1, 4, 4, 3, 7, 4, 11, 4, 1, 9, 2, 10, 10, 3, 4, 4,
  10. 3, 2, 7, 10, 7, 6, 1, 3, 19, 9, 3, 8, 20, 1, 12, 9, 13,
  11. 13, 2, 9, 4, 9, 2, 5, 6, 18, 3, 6, 8, 6, 4, 5, 13, 4,
  12. 8, 9, 5, 4, 8, 5, 2, 1, 6, 8, 3, 6, 4, 2, 6, 11, 5,
  13. 1, 5, 1, 5, 11, 11, 9, 3, 12, 2, 2, 9, 19, 7, 13, 13, 9,
  14. 2, 1, 1, 4, 3, 4, 9, 1, 25, 12, 8, 5, 18, 3, 1, 6, 17,
  15. 7, 4, 6, 9, 8, 10, 3, 8, 12, 5, 4, 4, 1, 9, 21, 4, 3,
  16. 3, 7, 13, 5, 12, 8, 8, 6, 3, 6, 7, 5, 3, 7, 3, 14, 3,
  17. 5, 2, 14, 16, 3, 8, 6, 13, 9, 3, 5, 4, 9, 4, 12, 12, 4,
  18. 9, 8, 11, 5, 13, 3, 2, 5, 4, 2, 1, 8, 8, 18, 11, 2, 5,
  19. 13, 4, 1, 2, 4, 1, 2, 2, 12, 2, 6, 19, 7, 20, 2, 10, 2,
  20. 9, 12, 9, 8, 1, 4, 8, 8, 12, 4, 8, 1, 3, 6, 9, 4, 3,
  21. 8, 2, 7, 15, 6, 5, 10, 6, 4, 3, 12, 5, 4, 13, 7, 2, 8,
  22. 5, 2, 4, 3, 14, 12, 3, 4, 3, 2, 15, 6, 14, 12, 11, 9, 5,
  23. 5, 7, 11, 10, 7, 9, 9, 7, 11, 5, 11, 3, 2, 5, 17, 5, 2,
  24. 6, 1, 10, 3, 13, 19, 5, 1, 3, 5, 3, 5, 6, 3, 9, 8, 2,
  25. 3, 2, 3, 7, 4, 9, 5, 1, 6, 14, 4, 8, 17, 13, 7, 1, 4,
  26. 5, 10, 5, 6, 2, 12, 5, 9, 3, 9, 9, 1, 5, 1, 2, 2, 5,
  27. 1, 4, 4, 13, 4, 25, 9, 10, 4, 3, 9, 13, 13, 2, 9, 2, 12,
  28. 4, 1, 20, 9, 10, 2, 5, 4, 10, 2, 6, 1, 7, 7, 7, 4, 8,
  29. 4, 3, 4, 13, 8, 3, 13, 12, 19, 9, 3, 2, 6, 7, 13, 8, 16,
  30. 7, 3, 11, 4, 10, 9, 12, 2, 8, 5, 2, 3, 4, 2, 1, 11, 5,
  31. 4, 2, 8, 12, 7, 5, 7, 7, 4, 6, 18, 2, 1, 6, 15, 11, 2,
  32. 5, 8, 3, 5, 9, 11, 5, 8, 6, 20, 1, 10, 3, 7, 1, 3, 5,
  33. 4, 4, 10, 11, 6, 1, 5, 4, 1, 2, 10, 4, 4, 11, 20, 5, 3,
  34. 2, 7, 8, 2, 10, 5, 1, 18, 5, 10, 5, 3, 8, 15, 2, 1, 14,
  35. 10, 7, 3, 5, 9, 3, 4, 21, 14, 1, 2, 1, 2, 4, 11, 9, 7,
  36. 6, 9, 18, 4, 6, 18, 12, 12, 4, 6, 3, 3, 9, 5, 12, 15, 3,
  37. 7, 3, 7, 4, 2, 15, 14, 7, 10, 5, 5, 5, 9, 3, 6, 3, 1,
  38. 11, 1, 5, 25, 8, 2, 24, 1, 12, 1, 6, 8, 5, 13, 4, 3, 3,
  39. 13, 4, 4, 18, 7, 13, 2, 8, 3, 4, 9, 2, 13, 12, 4, 5, 10,
  40. 9, 15, 1, 8, 8, 15, 10, 1, 9, 2, 2, 2, 2, 3, 6, 17, 7,
  41. 5, 5, 6, 12, 1, 8, 3, 1, 11, 4, 7, 8, 15, 6, 11, 9, 9,
  42. 13, 2, 3, 5, 3, 5, 12, 4, 4, 8, 7, 12, 2, 2, 4, 4, 12,
  43. 8, 11, 10, 6, 5, 1, 4, 2, 7, 3, 5, 15, 12, 12, 2, 9, 7,
  44. 4, 4, 5, 15, 5, 8, 13, 7, 2, 8, 12, 2, 13, 6, 24, 14, 3,
  45. 4, 1, 2, 8, 7, 5, 12, 8, 2, 6, 3, 7, 5, 2, 7, 3, 3,
  46. 1, 9, 9, 3, 12, 3, 2, 11, 11, 6, 3, 9, 12, 4, 8, 7, 5,
  47. 2, 10, 19, 1, 1, 10, 6, 2, 4, 2, 4, 4, 3, 7, 13, 9, 6,
  48. 2, 2, 2, 5, 13, 12, 2, 13, 12, 11, 10, 5, 8, 8, 15, 12, 3,
  49. 3, 9, 4, 6, 13, 15, 4, 7, 1, 12, 10, 9, 7, 3, 7, 4, 9,
  50. 2, 10, 2, 11, 10, 14, 3, 13, 8, 3, 12, 11, 10, 7, 5, 3, 3,
  51. 11, 3, 13, 9, 10, 20, 7, 12, 3, 6, 6, 18, 3, 10, 11, 10, 5,
  52. 6, 11, 4, 6, 7, 9, 13, 1, 14, 14, 13, 4, 3, 8, 5, 7, 14,
  53. 13, 13, 12, 8, 11, 12, 9, 8, 9, 4, 5, 4, 7, 5, 2, 3, 1,
  54. 7, 2, 1, 13, 5, 19, 9, 6, 9, 7])
  55.  
  56. type actual_price recommended_price num_videos image_ava text_length
  57. 1 67.85 59 5 0 7
  58. 0 100.70 53 5 0 224
  59. 0 74.00 74 4 1 21
  60. 0 135.00 75 1 0 184
  61. 0 59.36 53 2 1 31
  62.  
  63. import statsmodels.api as sm
  64. poisson_mod = sm.Poisson(train_Y, train_X)
  65. poisson_res = poisson_mod.fit(method="newton")
  66. print(poisson_res.summary())
  67.  
  68. Optimization terminated successfully.
  69. Current function value: 2.958960
  70. Iterations 5
  71. Poisson Regression Results
  72. ==============================================================================
  73. Dep. Variable: y No. Observations: 637
  74. Model: Poisson Df Residuals: 628
  75. Method: MLE Df Model: 8
  76. Date: Mon, 08 Oct 2018 Pseudo R-squ.: 0.09479
  77. Time: 13:57:37 Log-Likelihood: -1884.9
  78. converged: True LL-Null: -2082.2
  79. LLR p-value: 2.506e-80
  80. =================================================================================
  81. coef std err z P>|z| [0.025 0.975]
  82. ---------------------------------------------------------------------------------
  83. technology 0.0080 0.040 0.200 0.842 -0.070 0.086
  84. street_parked 0.0014 0.030 0.046 0.963 -0.058 0.061
  85. description 0.0002 0.000 0.884 0.377 -0.000 0.001
  86. num_images_2 -0.0230 0.054 -0.430 0.667 -0.128 0.082
  87. num_images_3 0.0619 0.053 1.160 0.246 -0.043 0.167
  88. num_images_4 0.2234 0.050 4.501 0.000 0.126 0.321
  89. num_images_5 0.2391 0.053 4.521 0.000 0.135 0.343
  90. price_diff -0.0146 0.001 -16.300 0.000 -0.016 -0.013
  91. Bias 2.1325 0.052 41.016 0.000 2.031 2.234
  92. =================================================================================
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