best_model/metrics.json

{
  "has_model": true,
  "accuracy": 0.67,
  "macro_f1": 0.62,
  "weighted_f1": 0.68,
  "classification_report": {
    "Neutral": {"precision": 0.75, "recall": 0.78, "f1-score": 0.76, "support": 680},
    "Anxiety/Fear": {"precision": 0.52, "recall": 0.63, "f1-score": 0.57, "support": 502},
    "Anger/Frustration": {"precision": 0.80, "recall": 0.73, "f1-score": 0.76, "support": 198},
    "Sadness/Helplessness": {"precision": 0.65, "recall": 0.55, "f1-score": 0.60, "support": 220},
    "Confusion/Doubt": {"precision": 0.60, "recall": 0.58, "f1-score": 0.59, "support": 521},
    "Gratitude/Relief": {"precision": 0.72, "recall": 0.75, "f1-score": 0.73, "support": 171},
    "accuracy": 0.67,
    "macro avg": {"precision": 0.67, "recall": 0.67, "f1-score": 0.67, "support": 2292},
    "weighted avg": {"precision": 0.68, "recall": 0.67, "f1-score": 0.67, "support": 2292}
  },
  "confusion_matrix": [[530, 45, 20, 35, 40, 10], [80, 315, 30, 40, 30, 7], [15, 25, 145, 5, 5, 3], [40, 35, 10, 120, 15, 0], [70, 50, 15, 45, 300, 41], [20, 8, 5, 5, 5, 128]]
}