saved_models/metrics.json

{
  "accuracy": 0.5265459088069956,
  "f1_weighted": 0.5266023550374205,
  "cv_f1_mean": 0.5194638164614861,
  "cv_f1_std": 0.01859225360861665,
  "confusion_matrix": [
    [
      223,
      59,
      66,
      54
    ],
    [
      47,
      207,
      76,
      70
    ],
    [
      68,
      70,
      206,
      55
    ],
    [
      74,
      50,
      69,
      207
    ]
  ],
  "target_names": [
    "anxiety",
    "depression",
    "normal",
    "stress"
  ],
  "classification_report": "{'anxiety': {'precision': 0.5412621359223301, 'recall': 0.554726368159204, 'f1-score': 0.547911547911548, 'support': 402.0}, 'depression': {'precision': 0.5362694300518135, 'recall': 0.5175, 'f1-score': 0.5267175572519084, 'support': 400.0}, 'normal': {'precision': 0.4940047961630695, 'recall': 0.5162907268170426, 'f1-score': 0.5049019607843137, 'support': 399.0}, 'stress': {'precision': 0.5362694300518135, 'recall': 0.5175, 'f1-score': 0.5267175572519084, 'support': 400.0}, 'accuracy': 0.5265459088069956, 'macro avg': {'precision': 0.5269514480472567, 'recall': 0.5265042737440616, 'f1-score': 0.5265621557999196, 'support': 1601.0}, 'weighted avg': {'precision': 0.5269899040295392, 'recall': 0.5265459088069956, 'f1-score': 0.5266023550374205, 'support': 1601.0}}"
}