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Compressor
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model_assistant_generalized
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models_789
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pressure_metadata.json

pressure_metadata.json 2.0 KB
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  1. {
    2. 

  2.   "model_type": "pressure",
    3. 

  3.   "algorithm": "XGBoost binary classifier + KNN similarity",
    4. 

  4.   "feature_version": "generalized_cycle_relative_v2",
    5. 

  5.   "feature_names": [
    6. 

  6.     "oil_last_relative_to_window",
    7. 

  7.     "oil_range_rel",
    8. 

  8.     "oil_slope_rel",
    9. 

  9.     "oil_min_dev",
    10. 

  10.     "oil_max_dev",
    11. 

  11.     "oil_low_ratio_mean",
    12. 

  12.     "oil_low_low_ratio_mean",
    13. 

  13.     "running_coverage_mean",
    14. 

  14.     "running_coverage_min",
    15. 

  15.     "oil_rel_cycle_mean",
    16. 

  16.     "oil_rel_cycle_min",
    17. 

  17.     "oil_rel_cycle_last",
    18. 

  18.     "oil_rel_recent_mean",
    19. 

  19.     "oil_rel_recent_last",
    20. 

  20.     "oil_slope_rel_cycle",
    21. 

  21.     "oil_decline_hours",
    22. 

  22.     "oil_drawdown_cycle",
    23. 

  23.     "oil_range_rel_cycle",
    24. 

  24.     "oil_mean_z",
    25. 

  25.     "oil_min_z",
    26. 

  26.     "oil_last_z",
    27. 

  27.     "oil_slope_z"
    28. 

  28.   ],
    29. 

  29.   "dropped_absolute_features": [
    30. 

  30.     "oil_mean",
    31. 

  31.     "oil_min",
    32. 

  32.     "oil_max",
    33. 

  33.     "oil_range",
    34. 

  34.     "oil_slope"
    35. 

  35.   ],
    36. 

  36.   "unit_baselines": {
    37. 

  37.     "7号机": {
    38. 

  38.       "median": 0.4960559924581536,
    39. 

  39.       "mad": 0.004428293542177608,
    40. 

  40.       "normal_samples": 3029
    41. 

  41.     },
    42. 

  42.     "8号机": {
    43. 

  43.       "median": 0.48758049702478773,
    44. 

  44.       "mad": 0.01760849462891073,
    45. 

  45.       "normal_samples": 1915
    46. 

  46.     },
    47. 

  47.     "9号机": {
    48. 

  48.       "median": 0.5114602234904413,
    49. 

  49.       "mad": 0.0038131198673335698,
    50. 

  50.       "normal_samples": 3495
    51. 

  51.     }
    52. 

  52.   },
    53. 

  53.   "normal_sampling_strategy": "all_normal",
    54. 

  54.   "normal_to_anomaly_training_ratio_limit": null,
    55. 

  55.   "actual_normal_to_anomaly_training_ratio": 12.864329268292684,
    56. 

  56.   "training_samples_before_sampling": 9095,
    57. 

  57.   "training_samples_after_sampling": 9095,
    58. 

  58.   "training_normal": 8439,
    59. 

  59.   "training_anomaly": 656,
    60. 

  60.   "scale_pos_weight": 12.864329268292684,
    61. 

  61.   "validation_samples": 2457,
    62. 

  62.   "test_set_read": false,
    63. 

  63.   "threshold_selection": "max_validation_f1",
    64. 

  64.   "threshold": 0.8625534176826477,
    65. 

  65.   "validation_precision": 0.9389671361502347,
    66. 

  66.   "validation_recall": 0.9950248756218906,
    67. 

  67.   "validation_f1": 0.966183574879227,
    68. 

  68.   "validation_pr_auc": 0.9965091484961048,
    69. 

  69.   "rounds_requested": 800,
    70. 

  70.   "early_stopping_rounds_requested": 50,
    71. 

  71.   "rounds_run": 151,
    72. 

  72.   "early_stopped": true,
    73. 

  73.   "best_iteration": 100,
    74. 

  74.   "best_score": 0.03169399543938643
    75. 

  75. }
    76.