{ "mode": "markdown8k", "seed": 42, "records": 13514, "malicious": 7500, "benign": 6014, "auprc_average_precision": 0.9966339274117415, "auroc": 0.9945986919410504, "folds_sha256": "c11c6f68dd23fddb70d7090512d93f5be54bb216596175d44fcaa7e7df80e202", "oof_sha256": "935e97b51798f6b553da87c4cc0738510a7575c14b0fe4bc6db2726145baa888", "folds": [ { "fold": 1, "predictions_sha256": "a43bd55e2f3256b7e5d959822ce449ecee79dfc2affbb1a3c6a6fab04bbc1ec0", "adapter_sha256": "79c2cfa9e230b5eb88dc26ae96a5f9b26ea86d6f7f5d187fbb9070b9518d7ec4" }, { "fold": 2, "predictions_sha256": "608d14ae22ea7579928f0722dc4ba9a4a7dfad923a57e8542d7ad7ae132ed52e", "adapter_sha256": "7683ceca69861929e1263dd46bf3befeb2534592b90686ad60b4abf21b2841dc" }, { "fold": 3, "predictions_sha256": "a759c2e629bf2e21382806eb332e0760de792683b337f2529f019e0b730286ba", "adapter_sha256": "3110418b5329db127917bad3135db46d97610cf126cc9ced6b08f048b7ba5100" } ], "created_at": "2026-11-10T16:05:55.944354+00:00", "default": { "raw_threshold": 0.0, "native_threshold": 0.5, "tp": 7272, "fp": 53, "fn": 228, "tn": 5961, "recall": 0.9696, "fpr": 0.008812770202859994, "precision": 0.9927645051194539, "f1": 0.9810455311973019, "flagged_fraction": 0.5420304869024715 }, "targets": { "0.95": { "raw_threshold": 5.374836521935736, "native_threshold": 0.9953896776695467, "tp": 7125, "fp": 9, "fn": 375, "tn": 6005, "recall": 0.95, "fpr": 0.0014965081476554707, "precision": 0.9987384356602187, "f1": 0.973759737597376, "flagged_fraction": 0.5278969957081545 }, "0.98": { "raw_threshold": -2.9843786119895848, "native_threshold": 0.0481366056169061, "tp": 7350, "fp": 243, "fn": 150, "tn": 5771, "recall": 0.98, "fpr": 0.0404057199866977, "precision": 0.9679968391939945, "f1": 0.9739614390777181, "flagged_fraction": 0.5618617729761729 }, "0.99": { "raw_threshold": -4.441408183360328, "native_threshold": 0.011642201918123018, "tp": 7425, "fp": 945, "fn": 75, "tn": 5069, "recall": 0.99, "fpr": 0.1571333555038244, "precision": 0.8870967741935484, "f1": 0.9357277882797732, "flagged_fraction": 0.6193577031226876 } }, "balanced": { "target": 0.95, "raw_threshold": 5.374836521935736, "native_threshold": 0.9953896776695467, "tp": 7125, "fp": 9, "fn": 375, "tn": 6005, "recall": 0.95, "fpr": 0.0014965081476554707, "precision": 0.9987384356602187, "f1": 0.973759737597376, "flagged_fraction": 0.5278969957081545 }, "high_recall": { "raw_threshold": -4.441408183360328, "native_threshold": 0.011642201918123018, "tp": 7425, "fp": 945, "fn": 75, "tn": 5069, "recall": 0.99, "fpr": 0.1571333555038244, "precision": 0.8870967741935484, "f1": 0.9357277882797732, "flagged_fraction": 0.6193577031226876 }, "selection": "Balanced maximizes recall minus FPR among predeclared 95/98/99% OOF recall gates; ties prefer higher recall. High-recall targets 99% OOF recall.", "scope": "Pooled three-fold out-of-fold scores. Every score is from a model that excluded that skill group. Thresholds transfer to a separate full-data refit; these are not held-out test results of that refit." }