{ "schema_version": "1.0.0", "exported_at": "2026-03-05T22:01:19.697465+00:00", "data": [ { "model": "gat", "scenario": "val", "metric_name": "accuracy", "value": 0.9803428420146932 }, { "model": "gat", "scenario": "val", "metric_name": "precision", "value": 0.5004248088360238 }, { "model": "gat", "scenario": "val", "metric_name": "recall", "value": 0.9899159663865547 }, { "model": "gat", "scenario": "val", "metric_name": "f1", "value": 0.664785553047404 }, { "model": "gat", "scenario": "val", "metric_name": "specificity", "value": 0.9801505586875063 }, { "model": "gat", "scenario": "val", "metric_name": "balanced_accuracy", "value": 0.9850332625370305 }, { "model": "gat", "scenario": "val", "metric_name": "mcc", "value": 0.6965952449607589 }, { "model": "gat", "scenario": "val", "metric_name": "fpr", "value": 0.01984944131249367 }, { "model": "gat", "scenario": "val", "metric_name": "fnr", "value": 0.010084033613445379 }, { "model": "gat", "scenario": "val", "metric_name": "n_samples", "value": 30218 }, { "model": "gat", "scenario": "val", "metric_name": "auc", "value": 0.9993606205943202 }, { "model": "gat", "scenario": "val", "metric_name": "kappa", "value": 0.655781709643904 }, { "model": "gat", "scenario": "val", "metric_name": "tpr", "value": 0.9899159663865547 }, { "model": "gat", "scenario": "val", "metric_name": "tnr", "value": 0.9801505586875063 }, { "model": "gat", "scenario": "val", "metric_name": "detection_rate", "value": 0.9899159663865547 }, { "model": "gat", "scenario": "val", "metric_name": "miss_rate", "value": 0.010084033613445379 }, { "model": "gat", "scenario": "val", "metric_name": "pr_auc", "value": 0.9851479128363945 }, { "model": "vgae", "scenario": "val", "metric_name": "accuracy", "value": 0.8289761069561189 }, { "model": "vgae", "scenario": "val", "metric_name": "precision", "value": 0.06719666855953058 }, { "model": "vgae", "scenario": "val", "metric_name": "recall", "value": 0.5966386554621849 }, { "model": "vgae", "scenario": "val", "metric_name": "f1", "value": 0.12078938414426675 }, { "model": "vgae", "scenario": "val", "metric_name": "specificity", "value": 0.8336427775714816 }, { "model": "vgae", "scenario": "val", "metric_name": "balanced_accuracy", "value": 0.7151407165168333 }, { "model": "vgae", "scenario": "val", "metric_name": "mcc", "value": 0.1573912617169615 }, { "model": "vgae", "scenario": "val", "metric_name": "fpr", "value": 0.1663572224285184 }, { "model": "vgae", "scenario": "val", "metric_name": "fnr", "value": 0.40336134453781514 }, { "model": "vgae", "scenario": "val", "metric_name": "n_samples", "value": 30218 }, { "model": "vgae", "scenario": "val", "metric_name": "auc", "value": 0.7619996045543762 }, { "model": "vgae", "scenario": "val", "metric_name": "optimal_threshold", "value": 0.046220820397138596 }, { "model": "vgae", "scenario": "val", "metric_name": "youden_j", "value": 0.43196210530257406 }, { "model": "vgae", "scenario": "val", "metric_name": "kappa", "value": 0.08852856918584251 }, { "model": "vgae", "scenario": "val", "metric_name": "tpr", "value": 0.5966386554621849 }, { "model": "vgae", "scenario": "val", "metric_name": "tnr", "value": 0.8336427775714816 }, { "model": "vgae", "scenario": "val", "metric_name": "detection_rate", "value": 0.5966386554621849 }, { "model": "vgae", "scenario": "val", "metric_name": "miss_rate", "value": 0.40336134453781514 }, { "model": "vgae", "scenario": "val", "metric_name": "pr_auc", "value": 0.24961418319115536 }, { "model": "fusion", "scenario": "val", "metric_name": "accuracy", "value": 0.9974666666666666 }, { "model": "fusion", "scenario": "val", "metric_name": "precision", "value": 0.9759704251386322 }, { "model": "fusion", "scenario": "val", "metric_name": "recall", "value": 0.8934010152284264 }, { "model": "fusion", "scenario": "val", "metric_name": "f1", "value": 0.9328621908127208 }, { "model": "fusion", "scenario": "val", "metric_name": "specificity", "value": 0.9995579584480941 }, { "model": "fusion", "scenario": "val", "metric_name": "balanced_accuracy", "value": 0.9464794868382602 }, { "model": "fusion", "scenario": "val", "metric_name": "mcc", "value": 0.9325191139857013 }, { "model": "fusion", "scenario": "val", "metric_name": "fpr", "value": 0.00044204155190587913 }, { "model": "fusion", "scenario": "val", "metric_name": "fnr", "value": 0.1065989847715736 }, { "model": "fusion", "scenario": "val", "metric_name": "n_samples", "value": 30000 }, { "model": "fusion", "scenario": "val", "metric_name": "auc", "value": 0.9233336089260749 }, { "model": "fusion", "scenario": "val", "metric_name": "kappa", "value": 0.9315737338934924 }, { "model": "fusion", "scenario": "val", "metric_name": "tpr", "value": 0.8934010152284264 }, { "model": "fusion", "scenario": "val", "metric_name": "tnr", "value": 0.9995579584480941 }, { "model": "fusion", "scenario": "val", "metric_name": "detection_rate", "value": 0.8934010152284264 }, { "model": "fusion", "scenario": "val", "metric_name": "miss_rate", "value": 0.1065989847715736 }, { "model": "fusion", "scenario": "val", "metric_name": "pr_auc", "value": 0.8905862422825354 } ] }