{
  "models": [
    "iednet_lite",
    "resnet_attention"
  ],
  "test_metrics": {
    "accuracy": 0.93014329580348,
    "auprc": 0.7211157678062519,
    "auroc": 0.8995878534153646,
    "balanced_accuracy": 0.8135185936874053,
    "f1": 0.6784452296819788,
    "false_positives_per_minute": 0.5483592400690847,
    "fn": 146,
    "fp": 127,
    "n": 3908,
    "precision": 0.6939759036144578,
    "prevalence": 0.11105424769703173,
    "sensitivity": 0.663594470046083,
    "specificity": 0.9634427173287277,
    "threshold": 0.51321724,
    "tn": 3347,
    "tp": 288
  },
  "threshold": 0.51321724
}