{
  "held_out_attributes": [
    "午餐偏好",
    "客户名称",
    "紧急联系人姓氏",
    "运动习惯",
    "邮箱域名",
    "项目代号"
  ],
  "trained_on_attributes": 18,
  "eval_held_out_queries": 56,
  "eval_kept_queries": 194,
  "max_prob_held_out": {
    "p10": 0.1102,
    "p50": 0.1771,
    "p90": 0.1854
  },
  "max_prob_kept": {
    "p10": 0.2125,
    "p50": 0.3445,
    "p90": 0.4934
  },
  "openset_auc_held_out_vs_kept": 0.9629,
  "closed_set_false_claim_pct": 100.0,
  "reject_threshold_from_kept_p05": 0.1752,
  "held_out_rejected_pct_at_threshold": 44.64,
  "kept_retained_pct_at_threshold": 100.0,
  "note": "held-out attributes never appear as training labels, so this is the open-set case a real user bank faces"
}