{
  "held_out_attributes": [
    "主管姓名",
    "办公城市",
    "咖啡口味",
    "常住城市",
    "手机尾号",
    "档案标识",
    "紧急联系人姓氏",
    "课程名称",
    "通勤方式",
    "邮箱域名",
    "项目代号",
    "默认语言"
  ],
  "trained_on_attributes": 12,
  "eval_held_out_queries": 138,
  "eval_kept_queries": 112,
  "max_prob_held_out": {
    "p10": 0.1377,
    "p50": 0.1971,
    "p90": 0.3075
  },
  "max_prob_kept": {
    "p10": 0.3099,
    "p50": 0.4342,
    "p90": 0.5683
  },
  "openset_auc_held_out_vs_kept": 0.976,
  "closed_set_false_claim_pct": 100.0,
  "reject_threshold_from_kept_p05": 0.2875,
  "held_out_rejected_pct_at_threshold": 80.43,
  "kept_retained_pct_at_threshold": 94.64,
  "note": "held-out attributes never appear as training labels, so this is the open-set case a real user bank faces"
}