backend/models/efficientnet_report.json

{
  "dataset_name": "dataset anemia",
  "record_count": 432,
  "subject_count": 217,
  "primary_model": "efficientnet-b0-ft-v2",
  "selected_mode": "efficientnet_hybrid_dual",
  "source_counts": {
    "roi_original": 217,
    "palpebral": 215
  },
  "metrics": {
    "accuracy": 0.3372,
    "precision": 0.3214,
    "recall": 1.0,
    "f1": 0.4865,
    "auc": 0.5562,
    "mae_hb": 1.6673,
    "validation_size": 86,
    "split_strategy": "group-shuffle-balance-select",
    "sample_count": 432,
    "subject_count": 217,
    "decision_threshold": 0.53
  },
  "training": {
    "epochs_requested": 1,
    "history": [
      {
        "epoch": 1.0,
        "train_loss": 0.367,
        "val_f1": 0.4864864864864865,
        "val_auc": 0.5561833019460137,
        "val_hb_mae": 1.6672612678172976
      }
    ],
    "batch_size": 16,
    "patience": 12,
    "device": "cpu",
    "hb_target_mean": 12.8383,
    "hb_target_std": 2.426,
    "class_positive_weight": 2.2642,
    "sampler": "weighted-random-balanced"
  }
}