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May 30th, 2016
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  1. === Run information ===
  2.  
  3. Scheme: weka.classifiers.trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0
  4. Relation: bank_CSV
  5. Instances: 4119
  6. Attributes: 21
  7. age
  8. job
  9. marital
  10. education
  11. default
  12. housing
  13. loan
  14. contact
  15. month
  16. day_of_week
  17. duration
  18. campaign
  19. pdays
  20. previous
  21. poutcome
  22. emp.var.rate
  23. cons.price.idx
  24. cons.conf.idx
  25. euribor3m
  26. nr.employed
  27. y
  28. Test mode: evaluate on training data
  29.  
  30. === Classifier model (full training set) ===
  31.  
  32.  
  33. pdays <= 635.727: yes (154.108) NB1 NB adaptive1
  34. pdays > 635.727:
  35. | nr.employed <= 5099.100: no (126.765) NB2 NB adaptive2
  36. | nr.employed > 5099.100: no (492.235) NB3 NB adaptive3
  37.  
  38. Time taken to build model: 0.34 seconds
  39.  
  40. === Evaluation on training set ===
  41.  
  42. Time taken to test model on training data: 0.09 seconds
  43.  
  44. === Summary ===
  45.  
  46. Correctly Classified Instances 3720 90.3132 %
  47. Incorrectly Classified Instances 399 9.6868 %
  48. Kappa statistic 0.259
  49. Mean absolute error 0.1605
  50. Root mean squared error 0.2901
  51. Relative absolute error 82.2578 %
  52. Root relative squared error 92.9145 %
  53. Total Number of Instances 4119
  54.  
  55. === Detailed Accuracy By Class ===
  56.  
  57. TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class
  58. 0.992 0.818 0.908 0.992 0.948 0.333 0.728 0.939 no
  59. 0.182 0.008 0.732 0.182 0.291 0.333 0.728 0.306 yes
  60. Weighted Avg. 0.903 0.729 0.889 0.903 0.876 0.333 0.728 0.870
  61.  
  62. === Confusion Matrix ===
  63.  
  64. a b <-- classified as
  65. 3638 30 | a = no
  66. 369 82 | b = yes
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