{
  "version": "1.0.0",
  "generated_at": "2026-04-17T09:56:06.006464",
  "source_sheet_id": "1n0bVEXD9h7v03Q_7REJQuvycGZVhWZI4u1zg1I1fqh8",
  "total_records": 1055,
  "artifacts": {
    "severity": {
      "version": "1.0.0-tfidf",
      "task": "severity",
      "trained_at": "2026-04-17T09:55:55.918055",
      "n_samples": 1055,
      "n_train": 844,
      "n_test": 211,
      "unique_labels": [
        "Critical",
        "High",
        "Low",
        "Medium"
      ],
      "label_distribution": {
        "High": 145,
        "Low": 627,
        "Medium": 240,
        "Critical": 43
      },
      "test_accuracy": 0.7014218009478673,
      "cv_mean": 0.6589288800553059,
      "cv_std": 0.2418511122683414,
      "classification_report": {
        "Critical": {
          "precision": 0.6,
          "recall": 0.3333333333333333,
          "f1-score": 0.42857142857142855,
          "support": 9.0
        },
        "High": {
          "precision": 0.7241379310344828,
          "recall": 0.7241379310344828,
          "f1-score": 0.7241379310344828,
          "support": 29.0
        },
        "Low": {
          "precision": 0.9411764705882353,
          "recall": 0.64,
          "f1-score": 0.7619047619047619,
          "support": 125.0
        },
        "Medium": {
          "precision": 0.4782608695652174,
          "recall": 0.9166666666666666,
          "f1-score": 0.6285714285714286,
          "support": 48.0
        },
        "accuracy": 0.7014218009478673,
        "macro avg": {
          "precision": 0.6858938177969839,
          "recall": 0.6535344827586207,
          "f1-score": 0.6357963875205255,
          "support": 211.0
        },
        "weighted avg": {
          "precision": 0.791486163804075,
          "recall": 0.7014218009478673,
          "f1-score": 0.7121642969984201,
          "support": 211.0
        }
      }
    },
    "issue_type": {
      "version": "1.0.0-tfidf",
      "task": "issue_type",
      "trained_at": "2026-04-17T09:55:56.476487",
      "n_samples": 1055,
      "n_train": 844,
      "n_test": 211,
      "unique_labels": [
        "Baggage Handling",
        "Cargo Problems",
        "Flight Document Handling",
        "GSE",
        "Operation",
        "Pax Handling",
        "Procedure Competencies"
      ],
      "label_distribution": {
        "Baggage Handling": 131,
        "Pax Handling": 198,
        "Flight Document Handling": 10,
        "Operation": 142,
        "GSE": 42,
        "Cargo Problems": 527,
        "Procedure Competencies": 5
      },
      "test_accuracy": 0.7914691943127962,
      "cv_mean": 0.7687203791469194,
      "cv_std": 0.08543434570042654,
      "classification_report": {
        "Baggage Handling": {
          "precision": 0.6,
          "recall": 0.6923076923076923,
          "f1-score": 0.6428571428571429,
          "support": 26.0
        },
        "Cargo Problems": {
          "precision": 0.92,
          "recall": 0.8761904761904762,
          "f1-score": 0.8975609756097561,
          "support": 105.0
        },
        "Flight Document Handling": {
          "precision": 0.5,
          "recall": 0.5,
          "f1-score": 0.5,
          "support": 2.0
        },
        "GSE": {
          "precision": 0.25,
          "recall": 0.1111111111111111,
          "f1-score": 0.15384615384615385,
          "support": 9.0
        },
        "Operation": {
          "precision": 0.6333333333333333,
          "recall": 0.6785714285714286,
          "f1-score": 0.6551724137931034,
          "support": 28.0
        },
        "Pax Handling": {
          "precision": 0.8,
          "recall": 0.9,
          "f1-score": 0.8470588235294118,
          "support": 40.0
        },
        "Procedure Competencies": {
          "precision": 0.0,
          "recall": 0.0,
          "f1-score": 0.0,
          "support": 1.0
        },
        "accuracy": 0.7914691943127962,
        "macro avg": {
          "precision": 0.529047619047619,
          "recall": 0.5368829583115297,
          "f1-score": 0.5280707870907955,
          "support": 211.0
        },
        "weighted avg": {
          "precision": 0.7828593996840443,
          "recall": 0.7914691943127962,
          "f1-score": 0.7846918676080988,
          "support": 211.0
        }
      }
    },
    "root_cause": {
      "version": "1.0.0-tfidf",
      "task": "root_cause",
      "trained_at": "2026-04-17T09:55:56.993864",
      "n_samples": 1053,
      "n_train": 842,
      "n_test": 211,
      "unique_labels": [
        "Communication",
        "Documentation",
        "Equipment Failure",
        "External Factors",
        "Process/Procedure",
        "Resource/Manpower",
        "Staff Competency",
        "Training Gap"
      ],
      "label_distribution": {
        "Equipment Failure": 158,
        "Process/Procedure": 626,
        "Staff Competency": 167,
        "Communication": 51,
        "External Factors": 33,
        "Documentation": 15,
        "Resource/Manpower": 1,
        "Training Gap": 2
      },
      "test_accuracy": 0.7251184834123223,
      "cv_mean": 0.6594041976980365,
      "cv_std": 0.2480810121394691,
      "classification_report": {
        "Communication": {
          "precision": 0.5555555555555556,
          "recall": 0.625,
          "f1-score": 0.5882352941176471,
          "support": 8.0
        },
        "Documentation": {
          "precision": 0.6666666666666666,
          "recall": 0.5,
          "f1-score": 0.5714285714285714,
          "support": 4.0
        },
        "Equipment Failure": {
          "precision": 0.8620689655172413,
          "recall": 0.625,
          "f1-score": 0.7246376811594203,
          "support": 40.0
        },
        "External Factors": {
          "precision": 0.5,
          "recall": 0.75,
          "f1-score": 0.6,
          "support": 4.0
        },
        "Process/Procedure": {
          "precision": 0.9479166666666666,
          "recall": 0.7338709677419355,
          "f1-score": 0.8272727272727273,
          "support": 124.0
        },
        "Staff Competency": {
          "precision": 0.39705882352941174,
          "recall": 0.9,
          "f1-score": 0.5510204081632653,
          "support": 30.0
        },
        "Training Gap": {
          "precision": 0.0,
          "recall": 0.0,
          "f1-score": 0.0,
          "support": 1.0
        },
        "accuracy": 0.7251184834123223,
        "macro avg": {
          "precision": 0.5613238111336488,
          "recall": 0.590552995391705,
          "f1-score": 0.5517992403059473,
          "support": 211.0
        },
        "weighted avg": {
          "precision": 0.8201293891201411,
          "recall": 0.7251184834123223,
          "f1-score": 0.7463958972120778,
          "support": 211.0
        }
      }
    }
  }
}