models/resnet_attention/config.json

{
  "binary_labels": [
    "Non-IED",
    "IED"
  ],
  "channels": [
    "Fp1",
    "Fp2",
    "F3",
    "F4",
    "C3",
    "C4",
    "P3",
    "P4",
    "O1",
    "O2",
    "F7",
    "F8",
    "T3",
    "T4",
    "T5",
    "T6",
    "Fz",
    "Cz",
    "Pz"
  ],
  "epoch": 11,
  "format_version": 1,
  "model_name": "resnet_attention",
  "parameters": 4989538,
  "preprocessing": {
    "bandpass_hz": [
      1.0,
      45.0
    ],
    "normalization": "global_window_zscore_clip8",
    "reference": "average"
  },
  "release_name": "resnet_attention",
  "sfreq": 250,
  "split_seed": 2026,
  "subtype_labels": [
    "Centro-Parietal-IED",
    "Frontal-IED",
    "Generalized-IED",
    "Occipital-IED",
    "Temporal-IED"
  ],
  "test_metrics": {
    "accuracy": 0.932446264073695,
    "auprc": 0.7018171290865336,
    "auroc": 0.8998458595650639,
    "balanced_accuracy": 0.7906183923232226,
    "f1": 0.6666666666666666,
    "false_positives_per_minute": 0.4058721934369603,
    "fn": 170,
    "fp": 94,
    "n": 3908,
    "precision": 0.7374301675977654,
    "prevalence": 0.11105424769703173,
    "sensitivity": 0.6082949308755761,
    "specificity": 0.9729418537708693,
    "threshold": 0.6944227814674377,
    "tn": 3380,
    "tp": 264
  },
  "validation_metrics": {
    "accuracy": 0.9461262185736276,
    "auprc": 0.5585556572790095,
    "auroc": 0.7953542324845042,
    "balanced_accuracy": 0.741298793545788,
    "f1": 0.5992366412213741,
    "false_positives_per_minute": 0.21356783919597988,
    "fn": 159,
    "fp": 51,
    "n": 3898,
    "precision": 0.7548076923076923,
    "prevalence": 0.08106721395587481,
    "sensitivity": 0.49683544303797467,
    "specificity": 0.9857621440536013,
    "threshold": 0.6944227814674377,
    "tn": 3531,
    "tp": 157
  },
  "validation_threshold_f1": 0.6944227814674377,
  "validation_threshold_sensitivity80": 0.007963554933667183,
  "window_samples": 1000,
  "window_seconds": 4.0
}