{ "schema_version": "1.0.0", "exported_at": "2026-03-05T22:01:19.692010+00:00", "data": [ { "model": "gat", "scenario": "val", "metric_name": "accuracy", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "precision", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "recall", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "f1", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "specificity", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "balanced_accuracy", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "mcc", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "fpr", "value": 0.0 }, { "model": "gat", "scenario": "val", "metric_name": "fnr", "value": 0.0 }, { "model": "gat", "scenario": "val", "metric_name": "n_samples", "value": 1873 }, { "model": "gat", "scenario": "val", "metric_name": "auc", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "kappa", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "tpr", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "tnr", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "detection_rate", "value": 1.0 }, { "model": "gat", "scenario": "val", "metric_name": "miss_rate", "value": 0.0 }, { "model": "gat", "scenario": "val", "metric_name": "pr_auc", "value": 1.0 }, { "model": "vgae", "scenario": "val", "metric_name": "accuracy", "value": 0.8387613454351308 }, { "model": "vgae", "scenario": "val", "metric_name": "precision", "value": 0.4500978473581213 }, { "model": "vgae", "scenario": "val", "metric_name": "recall", "value": 0.9163346613545816 }, { "model": "vgae", "scenario": "val", "metric_name": "f1", "value": 0.6036745406824147 }, { "model": "vgae", "scenario": "val", "metric_name": "specificity", "value": 0.8267570900123304 }, { "model": "vgae", "scenario": "val", "metric_name": "balanced_accuracy", "value": 0.871545875683456 }, { "model": "vgae", "scenario": "val", "metric_name": "mcc", "value": 0.568336727543282 }, { "model": "vgae", "scenario": "val", "metric_name": "fpr", "value": 0.17324290998766953 }, { "model": "vgae", "scenario": "val", "metric_name": "fnr", "value": 0.08366533864541832 }, { "model": "vgae", "scenario": "val", "metric_name": "n_samples", "value": 1873 }, { "model": "vgae", "scenario": "val", "metric_name": "auc", "value": 0.9483250720914124 }, { "model": "vgae", "scenario": "val", "metric_name": "optimal_threshold", "value": 0.06685793399810791 }, { "model": "vgae", "scenario": "val", "metric_name": "youden_j", "value": 0.747075815111932 }, { "model": "vgae", "scenario": "val", "metric_name": "kappa", "value": 0.5168326067050254 }, { "model": "vgae", "scenario": "val", "metric_name": "tpr", "value": 0.9163346613545816 }, { "model": "vgae", "scenario": "val", "metric_name": "tnr", "value": 0.8267570900123304 }, { "model": "vgae", "scenario": "val", "metric_name": "detection_rate", "value": 0.9163346613545816 }, { "model": "vgae", "scenario": "val", "metric_name": "miss_rate", "value": 0.08366533864541832 }, { "model": "vgae", "scenario": "val", "metric_name": "pr_auc", "value": 0.8014741224420886 }, { "model": "fusion", "scenario": "val", "metric_name": "accuracy", "value": 0.996262680192205 }, { "model": "fusion", "scenario": "val", "metric_name": "precision", "value": 1.0 }, { "model": "fusion", "scenario": "val", "metric_name": "recall", "value": 0.9721115537848606 }, { "model": "fusion", "scenario": "val", "metric_name": "f1", "value": 0.9858585858585859 }, { "model": "fusion", "scenario": "val", "metric_name": "specificity", "value": 1.0 }, { "model": "fusion", "scenario": "val", "metric_name": "balanced_accuracy", "value": 0.9860557768924303 }, { "model": "fusion", "scenario": "val", "metric_name": "mcc", "value": 0.9838365102217598 }, { "model": "fusion", "scenario": "val", "metric_name": "fpr", "value": 0.0 }, { "model": "fusion", "scenario": "val", "metric_name": "fnr", "value": 0.027888446215139442 }, { "model": "fusion", "scenario": "val", "metric_name": "n_samples", "value": 1873 }, { "model": "fusion", "scenario": "val", "metric_name": "auc", "value": 0.9721545384430219 }, { "model": "fusion", "scenario": "val", "metric_name": "kappa", "value": 0.9837058983628846 }, { "model": "fusion", "scenario": "val", "metric_name": "tpr", "value": 0.9721115537848606 }, { "model": "fusion", "scenario": "val", "metric_name": "tnr", "value": 1.0 }, { "model": "fusion", "scenario": "val", "metric_name": "detection_rate", "value": 0.9721115537848606 }, { "model": "fusion", "scenario": "val", "metric_name": "miss_rate", "value": 0.027888446215139442 }, { "model": "fusion", "scenario": "val", "metric_name": "pr_auc", "value": 0.9758084729247855 } ] }