{
  "schema_version": "1.0.0",
  "exported_at": "2026-03-05T22:01:19.672682+00:00",
  "data": [
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "accuracy",
      "value": 0.9997249724972497
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "precision",
      "value": 1.0
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "recall",
      "value": 0.9990807767436516
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "f1",
      "value": 0.9995401770318427
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "specificity",
      "value": 1.0
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "balanced_accuracy",
      "value": 0.9995403883718258
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "mcc",
      "value": 0.9993442079056306
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "fpr",
      "value": 0.0
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "fnr",
      "value": 0.0009192232563483856
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "n_samples",
      "value": 29088
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "auc",
      "value": 0.999999813990879
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "kappa",
      "value": 0.9993439928740414
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "tpr",
      "value": 0.9990807767436516
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "tnr",
      "value": 1.0
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "detection_rate",
      "value": 0.9990807767436516
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "miss_rate",
      "value": 0.0009192232563483856
    },
    {
      "model": "gat",
      "scenario": "val",
      "metric_name": "pr_auc",
      "value": 0.9999995646713719
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "accuracy",
      "value": 0.7686331133113311
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "precision",
      "value": 0.5796270885462911
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "recall",
      "value": 0.8251177754797197
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "f1",
      "value": 0.6809216764650105
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "specificity",
      "value": 0.7445180279617366
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "balanced_accuracy",
      "value": 0.7848179017207282
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "mcc",
      "value": 0.5275015852532637
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "fpr",
      "value": 0.25548197203826345
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "fnr",
      "value": 0.17488222452028035
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "n_samples",
      "value": 29088
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "auc",
      "value": 0.880807928362589
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "optimal_threshold",
      "value": 0.039774391800165176
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "youden_j",
      "value": 0.5697507063484997
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "kappa",
      "value": 0.5079881665772354
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "tpr",
      "value": 0.8251177754797197
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "tnr",
      "value": 0.7445180279617366
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "detection_rate",
      "value": 0.8251177754797197
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "miss_rate",
      "value": 0.17488222452028035
    },
    {
      "model": "vgae",
      "scenario": "val",
      "metric_name": "pr_auc",
      "value": 0.7930192937759861
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "accuracy",
      "value": 0.9994155665566556
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "precision",
      "value": 1.0
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "recall",
      "value": 0.9980466505802597
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "f1",
      "value": 0.9990223704640865
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "specificity",
      "value": 1.0
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "balanced_accuracy",
      "value": 0.9990233252901298
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "mcc",
      "value": 0.9986065424229281
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "fpr",
      "value": 0.0
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "fnr",
      "value": 0.0019533494197403194
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "n_samples",
      "value": 29088
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "auc",
      "value": 0.9987312120571337
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "kappa",
      "value": 0.9986055715618624
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "tpr",
      "value": 0.9980466505802597
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "tnr",
      "value": 1.0
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "detection_rate",
      "value": 0.9980466505802597
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "miss_rate",
      "value": 0.0019533494197403194
    },
    {
      "model": "fusion",
      "scenario": "val",
      "metric_name": "pr_auc",
      "value": 0.9988673043630565
    }
  ]
}