eval_full_real_threshold_0p571892.json

{
  "model_dir": "train/outputs/spambert-tinybert-real-plus-synth-v0.9-thr057",
  "data": "train/processed_data.csv",
  "threshold": 0.571892,
  "rows": 562,
  "label_distribution": {
    "ham": 506,
    "spam": 56
  },
  "accuracy": 0.9768683274021353,
  "macro_precision": 0.9680437926048338,
  "macro_recall": 0.8998094297007341,
  "macro_f1": 0.9305268963418692,
  "ham": {
    "precision": 0.9786407766990292,
    "recall": 0.9960474308300395,
    "f1": 0.9872673849167483,
    "support": 506
  },
  "spam": {
    "precision": 0.9574468085106383,
    "recall": 0.8035714285714286,
    "f1": 0.8737864077669902,
    "support": 56
  },
  "confusion_matrix_labels_[ham,spam]": [
    [
      504,
      2
    ],
    [
      11,
      45
    ]
  ],
  "false_positives": 2,
  "false_negatives": 11,
  "avg_spam_probability": 0.09605943757271745
}