{ "case": 5, "report_id": "408b6056-e5a0-4558-88d4-98cbbc56b0ea", "question": "从 Train 发现、Val 选择，走到固定规则的独立复核", "consumer": "deterministic public API queries; no LLM", "description": { "report_id": "408b6056-e5a0-4558-88d4-98cbbc56b0ea", "report_type": "rule", "format_version": 1, "tables": { "summary": { "rows": 1, "grain": "one mining run (or benchmark summary); no feature-level metrics", "schema_version": 1, "fields": { "status": { "dtype": "String", "unit": "state", "meaning": "summary success/no_rules；候选 selected/rejected/candidate/deferred；评估 ok/unobserved/empty；结合 reason 和 rejection_stage", "null": "unavailable; inspect status and report parameters" }, "candidate_count": { "dtype": "Int64", "unit": "count", "meaning": "候选审计行数；cascade 包含同一 rule_id 在不同轮次的审计，不是去重规则数", "null": "unavailable; inspect status and report parameters" }, "selected_count": { "dtype": "Int64", "unit": "count", "meaning": "最终 RuleSet 中入选规则数；no_rules 为 0", "null": "unavailable; inspect status and report parameters" }, "validation_status": { "dtype": "String", "unit": "state", "meaning": "independent 或 in_sample；验证样本独立性由调用方保证", "null": "unavailable; inspect status and report parameters" }, "profile": { "dtype": "String", "unit": "category", "meaning": "实际 explore / production 门禁；报告不改阈值", "null": "unavailable; inspect status and report parameters" }, "qualification": { "dtype": "String", "unit": "state", "meaning": "计算时 RuleSet 资格；快照恢复不会重建部署资格", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_query": "unsupported" }, "rules": { "rows": 1, "grain": "final rule_id / selection rank; grades are rule membership, not metrics", "schema_version": 1, "fields": { "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "expression": { "dtype": "String", "unit": "definition", "meaning": "既有 DSL 规范表达式；不执行报告文本", "null": "unavailable; inspect status and report parameters" }, "rank": { "dtype": "Int64", "unit": "ordinal", "meaning": "最终规则集的 1 起始顺序；cumulative 使用此前全部规则的并集", "null": "unavailable; inspect status and report parameters" }, "source": { "dtype": "String", "unit": "category", "meaning": "规则生成来源；不是业务特征来源", "null": "unavailable; inspect status and report parameters" }, "labels": { "dtype": "List(String)", "unit": "unknown", "meaning": "已保存的 labels；未登记业务含义保持 unknown", "null": "unavailable; inspect status and report parameters" }, "grades": { "dtype": "List(String)", "unit": "category", "meaning": "既有 RuleSet 等级成员列表", "null": "unavailable; inspect status and report parameters" }, "generation_round": { "dtype": "Int64", "unit": "ordinal", "meaning": "候选生成轮次；相同规则在不同轮次的审计不可合并", "null": "unavailable; inspect status and report parameters" }, "selection_round": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 cascade 入选轮次；未入选为 null", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "candidates": { "rows": 4, "grain": "candidate rule_id / generation_round when present; generator audit", "schema_version": 1, "fields": { "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "expression": { "dtype": "String", "unit": "definition", "meaning": "既有 DSL 规范表达式；不执行报告文本", "null": "unavailable; inspect status and report parameters" }, "sources": { "dtype": "String", "unit": "category", "meaning": "候选生成器／seed 来源；不是 feature_metadata.data_source", "null": "unavailable; inspect status and report parameters" }, "distinct_source_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 distinct_source_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "exact_duplicate_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 exact_duplicate_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "within_candidate_budget": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 within_candidate_budget 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "candidate_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 candidate_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "validation_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 validation_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "iou_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 iou_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "selection_rank": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际选择顺序；未入选为 null", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "summary success/no_rules；候选 selected/rejected/candidate/deferred；评估 ok/unobserved/empty；结合 reason 和 rejection_stage", "null": "unavailable; inspect status and report parameters" }, "rejection_stage": { "dtype": "String", "unit": "state_reason", "meaning": "实际淘汰门禁阶段", "null": "unavailable; inspect status and report parameters" }, "reason": { "dtype": "String", "unit": "state_reason", "meaning": "真实候选淘汰原因；错误不转换为 no_rules", "null": "unavailable; inspect status and report parameters" }, "source_position": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 source_position 候选顺序；null 表示不适用", "null": "unavailable; inspect status and report parameters" }, "budget_position": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 budget_position 候选顺序；null 表示不适用", "null": "unavailable; inspect status and report parameters" }, "budget_strategy": { "dtype": "String", "unit": "category", "meaning": "已保存的 budget_strategy；未登记业务含义保持 unknown", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "temporal_assessed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 temporal_assessed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "temporal_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 temporal_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "time_slice_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 time_slice_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "time_slice_pass_rate": { "dtype": "Null", "unit": "ratio", "meaning": "通过时间切片数 / 已评估时间切片数", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "evaluation": { "rows": 21, "grain": "dataset / rule_id / target / slice / group (hit, miss, total)", "schema_version": 1, "fields": { "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" }, "total_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围全部样本人数，包括当前 target 未观测的样本", "null": "unavailable; inspect status and report parameters" }, "observed_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已观测人数，与 sample_count 相同", "null": "unavailable; inspect status and report parameters" }, "unobserved_count": { "dtype": "Int64", "unit": "count", "meaning": "total_count 减 observed_count；不把未观测当好样本", "null": "unavailable; inspect status and report parameters" }, "distribution_coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 total_count / 同 dataset、target、slice 的总体人数", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "summary success/no_rules；候选 selected/rejected/candidate/deferred；评估 ok/unobserved/empty；结合 reason 和 rejection_stage", "null": "unavailable; inspect status and report parameters" }, "sample_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已表现样本数；group/slice/dataset 定义统计范围", "null": "unavailable; inspect status and report parameters" }, "event_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围已表现 label=1 样本数", "null": "unavailable; inspect status and report parameters" }, "coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 sample_count / 同 dataset、target、slice 的 base sample_count；只含已表现样本", "null": "unavailable; inspect status and report parameters" }, "event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_count / sample_count；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "event_rate / 同 dataset、target、slice 的 base event_rate；零分母 null", "null": "unavailable; inspect status and report parameters" }, "amount_total": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现样本金金额和；amount_col 未提供则 null；币种见 business_context", "null": "unavailable; inspect status and report parameters" }, "event_amount": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现 label=1 金额和；amount_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "amount_coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前 amount_total / 同范围 base amount_total", "null": "unavailable; inspect status and report parameters" }, "amount_event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_amount / amount_total；零分母 null", "null": "unavailable; inspect status and report parameters" }, "amount_lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "amount_event_rate / 同范围 base amount_event_rate", "null": "unavailable; inspect status and report parameters" }, "customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现范围去重客户数；customer_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "event_customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现 label=1 范围去重客户数", "null": "unavailable; inspect status and report parameters" }, "customer_coverage": { "dtype": "Null", "unit": "ratio", "meaning": "customer_count / 同范围 base customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "customer_event_rate": { "dtype": "Null", "unit": "ratio", "meaning": "event_customer_count / customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "customer_lift": { "dtype": "Null", "unit": "dimensionless", "meaning": "customer_event_rate / 同范围 base customer_event_rate", "null": "unavailable; inspect status and report parameters" }, "event_rate_ci_lower": { "dtype": "Float64", "unit": "ratio", "meaning": "Wilson 事件率区间下界；confidence_level 见实际参数", "null": "unavailable; inspect status and report parameters" }, "event_rate_ci_upper": { "dtype": "Float64", "unit": "ratio", "meaning": "Wilson 事件率区间上界；confidence_level 见实际参数", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "p_value": { "dtype": "Float64", "unit": "probability", "meaning": "按 direction 的单侧事件富集检验 p 值；方法见 evaluator", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "slices": { "rows": 0, "grain": "dataset / rule_id / target / slice / group; slice encodes supplied time or segment", "schema_version": 1, "fields": { "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" } }, "state": "not_computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "rule_explanations": { "rows": 1, "grain": "final rule_id / rank / dataset / target / slice / group", "schema_version": 1, "fields": { "rank": { "dtype": "Int64", "unit": "ordinal", "meaning": "最终规则集的 1 起始顺序；cumulative 使用此前全部规则的并集", "null": "unavailable; inspect status and report parameters" }, "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "expression": { "dtype": "String", "unit": "definition", "meaning": "既有 DSL 规范表达式；不执行报告文本", "null": "unavailable; inspect status and report parameters" }, "source": { "dtype": "String", "unit": "category", "meaning": "规则生成来源；不是业务特征来源", "null": "unavailable; inspect status and report parameters" }, "complexity": { "dtype": "Int64", "unit": "count", "meaning": "实际 complexity 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "sample_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已表现样本数；group/slice/dataset 定义统计范围", "null": "unavailable; inspect status and report parameters" }, "event_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围已表现 label=1 样本数", "null": "unavailable; inspect status and report parameters" }, "coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 sample_count / 同 dataset、target、slice 的 base sample_count；只含已表现样本", "null": "unavailable; inspect status and report parameters" }, "event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_count / sample_count；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "event_rate / 同 dataset、target、slice 的 base event_rate；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "p_value": { "dtype": "Float64", "unit": "probability", "meaning": "按 direction 的单侧事件富集检验 p 值；方法见 evaluator", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" }, "qualification": { "dtype": "String", "unit": "state", "meaning": "计算时 RuleSet 资格；快照恢复不会重建部署资格", "null": "unavailable; inspect status and report parameters" }, "amount_total": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现样本金金额和；amount_col 未提供则 null；币种见 business_context", "null": "unavailable; inspect status and report parameters" }, "amount_event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_amount / amount_total；零分母 null", "null": "unavailable; inspect status and report parameters" }, "customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现范围去重客户数；customer_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "customer_event_rate": { "dtype": "Null", "unit": "ratio", "meaning": "event_customer_count / customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "explanation": { "dtype": "String", "unit": "text", "meaning": "当前行所引用验证范围的中文说明；缺指标显示 N/A", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "rule_features": { "rows": 8, "grain": "distinct rule_id / English feature; includes rejected candidates", "schema_version": 1, "fields": { "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "feature": { "dtype": "String", "unit": "identifier", "meaning": "AST 提取的英文输入特征 ID；中文名不替代此身份", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature": "feature" }, "state": "computed", "feature_query": "direct" } }, "parameters": { "mars_version": "0.0.28", "source_project": "deimos-rule", "source_commit": "e6714c5e795054e44f0c58ad7097668b4117b4a2", "target": "TARGET", "aux_targets": [], "features": [ "EXT_SOURCE_2", "EXT_SOURCE_3" ], "validation_status": "independent", "profile": "production", "qualification": "validated", "group_col": null, "time_col": null, "time_grain": null, "amount_col": "AMT_CREDIT", "customer_col": null, "generation_errors": [], "generator_diagnostics": [], "generators": [], "elapsed_seconds": 0.031558400005451404, "resolved_spec": { "profile": "production", "direction": "high_risk", "candidate_filter": { "conditions": [ { "metric": "lift", "operator": ">=", "value": 1.2 }, { "metric": "event_count", "operator": ">=", "value": 3.0 }, { "metric": "coverage", "operator": ">=", "value": 0.01 }, { "metric": "coverage", "operator": "<=", "value": 0.5 } ], "targets": "primary", "target_scope": "all", "slice_pass_rate": null }, "validation_filter": { "conditions": [ { "metric": "lift", "operator": ">=", "value": 2.0 }, { "metric": "event_count", "operator": ">=", "value": 3.0 }, { "metric": "coverage", "operator": ">=", "value": 0.01 }, { "metric": "coverage", "operator": "<=", "value": 0.5 } ], "targets": "primary", "target_scope": "all", "slice_pass_rate": 0.8 }, "grade_filters": {}, "selection_strategy": "ranked", "top_k": 10, "max_candidates": 100000, "iou_threshold": 0.3, "batch_size": 100, "iou_batch_size": 512, "max_rounds": 10, "random_state": 42, "on_generator_error": "raise", "confidence_level": 0.95, "max_fdr": 0.05, "min_time_slices": 3 }, "validation_summary": { "profile": "production", "qualification": "validated", "validation_status": "independent", "confidence_level": 0.95, "max_fdr": 0.05, "min_time_slices": 3, "selected_count": 1, "temporal_assessed": false, "minimum_time_slice_count": 0, "minimum_time_slice_pass_rate": null }, "slice_definition": { "kind": "not_computed", "column": null, "group_precedes_time": true, "overall_value": "__overall__" }, "analysis_states": { "slices": "not_computed", "interactions": "not_computed", "cumulative": "not_computed", "bootstrap": "not_computed" }, "advanced_analysis": null }, "feature_metadata": { "EXT_SOURCE_2": { "display_name": "外部来源分 2", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "EXT_SOURCE_3": { "display_name": "外部来源分 3", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" } }, "business_context": { "dataset_id": "home-credit-default-risk-2018", "sample_unit": "unknown", "label_definition": "unknown", "observation_window": "unknown", "source": "https://www.kaggle.com/competitions/home-credit-default-risk/data", "real_features": { "source": "application_train.csv/application_test.csv", "simulated": false, "derived_features_added": false }, "target": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" }, "date": { "field": "APPLY_DATE", "simulated": true, "train_range": [ "2026-01-01", "2026-06-30" ], "test_range": [ "2026-07-01", "2026-07-31" ], "limitation": "功能演示日期，不支持真实跨期泛化、季节性或线上漂移结论。" }, "partitions": { "field": "dataset_flag", "simulated": true, "0train": "拟合、候选发现、开发筛选与 PSI 参考分布", "1val": "验证或筛选；参与选择后不是最终独立评估", "2test": "有标签独立评估，不等同于原始 application_test", "3oot": "模拟时间外独立评估，不是真实业务 OOT", "4_oot_undue": "原始比赛测试表，标签未公开；名称不代表真实贷款未到期" }, "amount": { "field": "AMT_CREDIT", "unit": "原始金额单位", "currency": "未公开", "meaning": "贷款金额，不等于损失或利润", "included_as_feature": false }, "weights": null, "sample_scope": "两个 application 文件的全部样本", "preparation_version": "home-credit-2018-v1", "special_values": { "DAYS_EMPLOYED": { "value": 365243, "count": 64648, "handling": "保留原值；该异常正值作为本字段的特殊值配置，不应用于其他字段。", "meaning": "官方字段说明未解释此值，不推断实际就业时长。" } }, "labels": { "TARGET": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" } }, "question": "同一外部来源分 2 等级内，来源分 3 的风险有何差异？固定组合规则能否通过独立复核？", "score_directions": { "EXT_SOURCE_2": "lower_risk", "EXT_SOURCE_3": "lower_risk" }, "selection_scope": "0train discovery; 1val selection; 2test/3oot untouched until fixed evaluation", "binning_origin": "0train only; fixed quantile cutpoints", "candidate_origins": { "mr_d07e3095ba389c1a01c8": { "kind": "development_cell", "region": { "x_bin": "b0", "y_bin": "b0" }, "member_check": { "verified": true, "scope": "all supplied rows; exact SK_ID_CURR membership; IDs not saved", "member_count": 20805, "members_by_dataset": [ { "dataset_flag": "0train", "total_count": 12556, "observed_count": 12556 }, { "dataset_flag": "1val", "total_count": 1792, "observed_count": 1792 }, { "dataset_flag": "2test", "total_count": 1829, "observed_count": 1829 }, { "dataset_flag": "3oot", "total_count": 1757, "observed_count": 1757 }, { "dataset_flag": "4_oot_undue", "total_count": 2871, "observed_count": 0 } ] }, "reference": { "report_id": "4178f2f6-3d7c-4583-b1da-9d4c0bce24ec", "table": "cells", "query": { "offset": 0, "limit": 1, "filters": { "group": "0train", "target": "TARGET", "period": "Total", "x_bin": "b0", "y_bin": "b0" } } } }, "mr_3ca5e53560ff67e37798": { "kind": "development_cell", "region": { "x_bin": "b1", "y_bin": "b0" }, "member_check": { "verified": true, "scope": "all supplied rows; exact SK_ID_CURR membership; IDs not saved", "member_count": 19596, "members_by_dataset": [ { "dataset_flag": "0train", "total_count": 11520, "observed_count": 11520 }, { "dataset_flag": "1val", "total_count": 1648, "observed_count": 1648 }, { "dataset_flag": "2test", "total_count": 1674, "observed_count": 1674 }, { "dataset_flag": "3oot", "total_count": 1660, "observed_count": 1660 }, { "dataset_flag": "4_oot_undue", "total_count": 3094, "observed_count": 0 } ] }, "reference": { "report_id": "4178f2f6-3d7c-4583-b1da-9d4c0bce24ec", "table": "cells", "query": { "offset": 0, "limit": 1, "filters": { "group": "0train", "target": "TARGET", "period": "Total", "x_bin": "b1", "y_bin": "b0" } } } }, "mr_845db7263c6cd864dfa5": { "kind": "development_cell", "region": { "x_bin": "b0", "y_bin": "b1" }, "member_check": { "verified": true, "scope": "all supplied rows; exact SK_ID_CURR membership; IDs not saved", "member_count": 17399, "members_by_dataset": [ { "dataset_flag": "0train", "total_count": 10494, "observed_count": 10494 }, { "dataset_flag": "1val", "total_count": 1454, "observed_count": 1454 }, { "dataset_flag": "2test", "total_count": 1503, "observed_count": 1503 }, { "dataset_flag": "3oot", "total_count": 1502, "observed_count": 1502 }, { "dataset_flag": "4_oot_undue", "total_count": 2446, "observed_count": 0 } ] }, "reference": { "report_id": "4178f2f6-3d7c-4583-b1da-9d4c0bce24ec", "table": "cells", "query": { "offset": 0, "limit": 1, "filters": { "group": "0train", "target": "TARGET", "period": "Total", "x_bin": "b0", "y_bin": "b1" } } } }, "mr_51438d35dad4e2c45f37": { "kind": "development_cell", "region": { "x_bin": "b3", "y_bin": "b3" }, "member_check": { "verified": true, "scope": "all supplied rows; exact SK_ID_CURR membership; IDs not saved", "member_count": 20754, "members_by_dataset": [ { "dataset_flag": "0train", "total_count": 12690, "observed_count": 12690 }, { "dataset_flag": "1val", "total_count": 1892, "observed_count": 1892 }, { "dataset_flag": "2test", "total_count": 1858, "observed_count": 1858 }, { "dataset_flag": "3oot", "total_count": 1836, "observed_count": 1836 }, { "dataset_flag": "4_oot_undue", "total_count": 2478, "observed_count": 0 } ] }, "reference": { "report_id": "4178f2f6-3d7c-4583-b1da-9d4c0bce24ec", "table": "cells", "query": { "offset": 0, "limit": 1, "filters": { "group": "0train", "target": "TARGET", "period": "Total", "x_bin": "b3", "y_bin": "b3" } } } } }, "validation_role": "1val participates in selection; API dataset='validation' is not final independent test", "analysis_scope": "production selection; no bootstrap/interactions computed" }, "source": { "dataset_id": "home-credit-default-risk-2018", "computation": "rule", "producer": "mars.rule.MarsRuleReport", "mars_version": "0.0.28", "origin_project": "deimos-rule" }, "public_functions": [], "saved_operations": "public functions accept load_report ReportSnapshot; no source samples or fitted objects required", "operations": [ "describe", "get_table", "query_page", "get_feature", "search_features", "to_ai_context", "save", "show_table", "write_excel", "write_html" ], "limitations": [ "Only saved aggregate evidence; no causal or deployment conclusion.", "Null is unavailable, not numeric zero. See status and denominators.", "Feature matching uses rule membership union; features AND sources may match different features of the same rule. sources is business data_source, not candidate generators.", "summary and benchmark do not support features/sources queries. Advanced analysis scope is advanced_analysis; no dataset identity is inferred for supplied analysis samples.", "Absent analyses are not computed; present zero-row tables are computed_empty unless explicitly not_computed. Null may be undefined or unconfigured; inspect parameters and denominators.", "Snapshot is aggregate evidence, not RuleSet JSON, transform capability or deployment permission. No original samples or models are saved." ], "maturity": "Experimental", "default_ai_queries": { "summary": { "limit": 1 }, "rule_explanations": { "limit": 3, "columns": [ "rank", "rule_id", "dataset", "target", "slice", "group", "sample_count", "event_count", "event_rate", "lift" ] } } }, "queries": [ { "question": "种子候选最终保留多少", "reference": { "report_id": "408b6056-e5a0-4558-88d4-98cbbc56b0ea", "table": "summary", "query": { "offset": 0, "limit": 1 } }, "total_rows": 1, "returned_rows": 1, "omitted_rows": 0, "next_offset": null, "rows": [ { "status": "success", "candidate_count": 4, "selected_count": 1, "validation_status": "independent", "profile": "production", "qualification": "validated" } ] }, { "question": "实际入选/拒绝阶段及原因", "reference": { "report_id": "408b6056-e5a0-4558-88d4-98cbbc56b0ea", "table": "candidates", "query": { "offset": 0, "limit": 8 } }, "total_rows": 4, "returned_rows": 4, "omitted_rows": 0, "next_offset": null, "rows": [ { "rule_id": "mr_d07e3095ba389c1a01c8", "expression": "(((((\"EXT_SOURCE_2\" <= 0.3922384503211481 AND \"EXT_SOURCE_2\" >= -1.7976931348623157e+308) AND \"EXT_SOURCE_3\" <= 0.3706496323299817) AND \"EXT_SOURCE_3\" >= -1.7976931348623157e+308) AND \"EXT_SOURCE_2\" IS NOT MISSING) AND \"EXT_SOURCE_3\" IS NOT MISSING)", "sources": "cross_train", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": true, "validation_filter_passed": true, "iou_filter_passed": true, "selection_rank": 1, "status": "selected", "rejection_stage": null, "reason": null, "source_position": 1, "budget_position": 1, "budget_strategy": "seed_then_round_robin", "q_value": 2.6662132773278424e-98, "lift_ci_lower": 2.7098401395710385, "lift_ci_upper": 3.1102504697299125, "temporal_assessed": false, "temporal_passed": true, "time_slice_count": 0, "time_slice_pass_rate": null }, { "rule_id": "mr_3ca5e53560ff67e37798", "expression": "(((((\"EXT_SOURCE_2\" <= 0.5659775412462638 AND \"EXT_SOURCE_2\" > 0.3922384503211481) AND \"EXT_SOURCE_3\" <= 0.3706496323299817) AND \"EXT_SOURCE_3\" >= -1.7976931348623157e+308) AND \"EXT_SOURCE_2\" IS NOT MISSING) AND \"EXT_SOURCE_3\" IS NOT MISSING)", "sources": "cross_train", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": true, "validation_filter_passed": false, "iou_filter_passed": null, "selection_rank": null, "status": "rejected", "rejection_stage": "validation_filter", "reason": "未通过验证阈值或切片通过率", "source_position": 2, "budget_position": 2, "budget_strategy": "seed_then_round_robin", "q_value": 1.327238276893652e-22, "lift_ci_lower": 1.6880244777343734, "lift_ci_upper": 2.0406316956435955, "temporal_assessed": false, "temporal_passed": true, "time_slice_count": 0, "time_slice_pass_rate": null }, { "rule_id": "mr_845db7263c6cd864dfa5", "expression": "(((((\"EXT_SOURCE_2\" <= 0.3922384503211481 AND \"EXT_SOURCE_2\" >= -1.7976931348623157e+308) AND \"EXT_SOURCE_3\" <= 0.5352762504724826) AND \"EXT_SOURCE_3\" > 0.3706496323299817) AND \"EXT_SOURCE_2\" IS NOT MISSING) AND \"EXT_SOURCE_3\" IS NOT MISSING)", "sources": "cross_train", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": true, "validation_filter_passed": false, "iou_filter_passed": null, "selection_rank": null, "status": "rejected", "rejection_stage": "validation_filter", "reason": "未通过验证阈值或切片通过率", "source_position": 3, "budget_position": 3, "budget_strategy": "seed_then_round_robin", "q_value": 3.0985790647083433e-10, "lift_ci_lower": 1.3999878964951515, "lift_ci_upper": 1.749709297877419, "temporal_assessed": false, "temporal_passed": true, "time_slice_count": 0, "time_slice_pass_rate": null }, { "rule_id": "mr_51438d35dad4e2c45f37", "expression": "(((((\"EXT_SOURCE_2\" <= 1.7976931348623157e+308 AND \"EXT_SOURCE_2\" > 0.6635194529973911) AND \"EXT_SOURCE_3\" <= 1.7976931348623157e+308) AND \"EXT_SOURCE_3\" > 0.6674577419214722) AND \"EXT_SOURCE_2\" IS NOT MISSING) AND \"EXT_SOURCE_3\" IS NOT MISSING)", "sources": "cross_train", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": false, "validation_filter_passed": null, "iou_filter_passed": null, "selection_rank": null, "status": "rejected", "rejection_stage": "candidate_filter", "reason": "未通过训练集候选阈值", "source_position": 4, "budget_position": 4, "budget_strategy": "seed_then_round_robin", "q_value": null, "lift_ci_lower": null, "lift_ci_upper": null, "temporal_assessed": null, "temporal_passed": null, "time_slice_count": null, "time_slice_pass_rate": null } ] }, { "question": "Val 参与选择的风险与覆盖", "reference": { "report_id": "408b6056-e5a0-4558-88d4-98cbbc56b0ea", "table": "evaluation", "query": { "offset": 0, "limit": 8, "filters": { "dataset": "validation", "target": "TARGET", "group": "hit" } } }, "total_rows": 3, "returned_rows": 3, "omitted_rows": 0, "next_offset": null, "rows": [ { "dataset": "validation", "rule_id": "mr_d07e3095ba389c1a01c8", "target": "TARGET", "slice": "__overall__", "group": "hit", "total_count": 1792, "observed_count": 1792, "unobserved_count": 0, "distribution_coverage": 0.058333333333333334, "status": "ok", "sample_count": 1792, "event_count": 432, "coverage": 0.058333333333333334, "event_rate": 0.24107142857142858, "lift": 2.905341030095836, "amount_total": 919872067.5, "event_amount": 217294812.0, "amount_coverage": 0.05001287000190587, "amount_event_rate": 0.2362228615013359, "amount_lift": 3.0394281394622604, "customer_count": null, "event_customer_count": null, "customer_coverage": null, "customer_event_rate": null, "customer_lift": null, "event_rate_ci_lower": 0.22484969126844329, "event_rate_ci_upper": 0.2580738426868993, "lift_ci_lower": 2.7098401395710385, "lift_ci_upper": 3.1102504697299125, "p_value": 8.887377591092808e-99, "q_value": 2.6662132773278424e-98 }, { "dataset": "validation", "rule_id": "mr_3ca5e53560ff67e37798", "target": "TARGET", "slice": "__overall__", "group": "hit", "total_count": 1648, "observed_count": 1648, "unobserved_count": 0, "distribution_coverage": 0.05364583333333333, "status": "ok", "sample_count": 1648, "event_count": 254, "coverage": 0.05364583333333333, "event_rate": 0.154126213592233, "lift": 1.8574959911939575, "amount_total": 929820834.0, "event_amount": 129418852.5, "amount_coverage": 0.05055377822515053, "amount_event_rate": 0.13918687102681118, "amount_lift": 1.7908871721977757, "customer_count": null, "event_customer_count": null, "customer_coverage": null, "customer_event_rate": null, "customer_lift": null, "event_rate_ci_lower": 0.14006427062971738, "event_rate_ci_upper": 0.1693219463605314, "lift_ci_lower": 1.6880244777343734, "lift_ci_upper": 2.0406316956435955, "p_value": 8.848255179291015e-23, "q_value": 1.327238276893652e-22 }, { "dataset": "validation", "rule_id": "mr_845db7263c6cd864dfa5", "target": "TARGET", "slice": "__overall__", "group": "hit", "total_count": 1454, "observed_count": 1454, "unobserved_count": 0, "distribution_coverage": 0.04733072916666667, "status": "ok", "sample_count": 1454, "event_count": 189, "coverage": 0.04733072916666667, "event_rate": 0.12998624484181567, "lift": 1.5665662775757463, "amount_total": 791278821.0, "event_amount": 105243133.5, "amount_coverage": 0.04302133547492934, "amount_event_rate": 0.13300385490792757, "amount_lift": 1.7113316496753408, "customer_count": null, "event_customer_count": null, "customer_coverage": null, "customer_event_rate": null, "customer_lift": null, "event_rate_ci_lower": 0.11616436029186658, "event_rate_ci_upper": 0.14518258464484182, "lift_ci_lower": 1.3999878964951515, "lift_ci_upper": 1.749709297877419, "p_value": 3.0985790647083433e-10, "q_value": 3.0985790647083433e-10 } ] }, { "question": "固定规则在独立 test/oot 的表现", "reference": { "report_id": "050120ae-8498-4d2f-b5b8-c32c27da38c7", "table": "slices", "query": { "offset": 0, "limit": 8, "filters": 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and report parameters" }, "selection_round": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 cascade 入选轮次；未入选为 null", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "candidates": { "rows": 24, "grain": "candidate rule_id / generation_round when present; generator audit", "schema_version": 1, "fields": { "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "expression": { "dtype": "String", "unit": "definition", "meaning": "既有 DSL 规范表达式；不执行报告文本", "null": "unavailable; inspect status and report parameters" }, "sources": { "dtype": "String", "unit": "category", "meaning": "候选生成器／seed 来源；不是 feature_metadata.data_source", "null": "unavailable; inspect status and report parameters" }, "distinct_source_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 distinct_source_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "exact_duplicate_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 exact_duplicate_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "within_candidate_budget": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 within_candidate_budget 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "candidate_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 candidate_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "validation_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 validation_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "iou_filter_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 iou_filter_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "selection_rank": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际选择顺序；未入选为 null", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "summary success/no_rules；候选 selected/rejected/candidate/deferred；评估 ok/unobserved/empty；结合 reason 和 rejection_stage", "null": "unavailable; inspect status and report parameters" }, "rejection_stage": { "dtype": "String", "unit": "state_reason", "meaning": "实际淘汰门禁阶段", "null": "unavailable; inspect status and report parameters" }, "reason": { "dtype": "String", "unit": "state_reason", "meaning": "真实候选淘汰原因；错误不转换为 no_rules", "null": "unavailable; inspect status and report parameters" }, "source_position": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 source_position 候选顺序；null 表示不适用", "null": "unavailable; inspect status and report parameters" }, "budget_position": { "dtype": "Int64", "unit": "ordinal", "meaning": "实际 budget_position 候选顺序；null 表示不适用", "null": "unavailable; inspect status and report parameters" }, "budget_strategy": { "dtype": "String", "unit": "category", "meaning": "已保存的 budget_strategy；未登记业务含义保持 unknown", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "temporal_assessed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 temporal_assessed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "temporal_passed": { "dtype": "Boolean", "unit": "boolean", "meaning": "实际 temporal_passed 门禁结果；null 表示未执行或不适用", "null": "unavailable; inspect status and report parameters" }, "time_slice_count": { "dtype": "Int64", "unit": "count", "meaning": "实际 time_slice_count 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "time_slice_pass_rate": { "dtype": "Null", "unit": "ratio", "meaning": "通过时间切片数 / 已评估时间切片数", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "evaluation": { "rows": 96, "grain": "dataset / rule_id / target / slice / group (hit, miss, total)", "schema_version": 1, "fields": { "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" }, "total_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围全部样本人数，包括当前 target 未观测的样本", "null": "unavailable; inspect status and report parameters" }, "observed_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已观测人数，与 sample_count 相同", "null": "unavailable; inspect status and report parameters" }, "unobserved_count": { "dtype": "Int64", "unit": "count", "meaning": "total_count 减 observed_count；不把未观测当好样本", "null": "unavailable; inspect status and report parameters" }, "distribution_coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 total_count / 同 dataset、target、slice 的总体人数", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "summary success/no_rules；候选 selected/rejected/candidate/deferred；评估 ok/unobserved/empty；结合 reason 和 rejection_stage", "null": "unavailable; inspect status and report parameters" }, "sample_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已表现样本数；group/slice/dataset 定义统计范围", "null": "unavailable; inspect status and report parameters" }, "event_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围已表现 label=1 样本数", "null": "unavailable; inspect status and report parameters" }, "coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 sample_count / 同 dataset、target、slice 的 base sample_count；只含已表现样本", "null": "unavailable; inspect status and report parameters" }, "event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_count / sample_count；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "event_rate / 同 dataset、target、slice 的 base event_rate；零分母 null", "null": "unavailable; inspect status and report parameters" }, "amount_total": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现样本金金额和；amount_col 未提供则 null；币种见 business_context", "null": "unavailable; inspect status and report parameters" }, "event_amount": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现 label=1 金额和；amount_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "amount_coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前 amount_total / 同范围 base amount_total", "null": "unavailable; inspect status and report parameters" }, "amount_event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_amount / amount_total；零分母 null", "null": "unavailable; inspect status and report parameters" }, "amount_lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "amount_event_rate / 同范围 base amount_event_rate", "null": "unavailable; inspect status and report parameters" }, "customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现范围去重客户数；customer_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "event_customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现 label=1 范围去重客户数", "null": "unavailable; inspect status and report parameters" }, "customer_coverage": { "dtype": "Null", "unit": "ratio", "meaning": "customer_count / 同范围 base customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "customer_event_rate": { "dtype": "Null", "unit": "ratio", "meaning": "event_customer_count / customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "customer_lift": { "dtype": "Null", "unit": "dimensionless", "meaning": "customer_event_rate / 同范围 base customer_event_rate", "null": "unavailable; inspect status and report parameters" }, "event_rate_ci_lower": { "dtype": "Float64", "unit": "ratio", "meaning": "Wilson 事件率区间下界；confidence_level 见实际参数", "null": "unavailable; inspect status and report parameters" }, "event_rate_ci_upper": { "dtype": "Float64", "unit": "ratio", "meaning": "Wilson 事件率区间上界；confidence_level 见实际参数", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "p_value": { "dtype": "Float64", "unit": "probability", "meaning": "按 direction 的单侧事件富集检验 p 值；方法见 evaluator", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "slices": { "rows": 0, "grain": "dataset / rule_id / target / slice / group; slice encodes supplied time or segment", "schema_version": 1, "fields": { "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" } }, "state": "not_computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "rule_explanations": { "rows": 1, "grain": "final rule_id / rank / dataset / target / slice / group", "schema_version": 1, "fields": { "rank": { "dtype": "Int64", "unit": "ordinal", "meaning": "最终规则集的 1 起始顺序；cumulative 使用此前全部规则的并集", "null": "unavailable; inspect status and report parameters" }, "dataset": { "dtype": "String", "unit": "dimension", "meaning": "实际保存的 train/validation/in_sample 范围；不推断未保存的逐轮剩余样本统计", "null": "unavailable; inspect status and report parameters" }, "target": { "dtype": "String", "unit": "identifier", "meaning": "真实标签列 ID；各 target 独立排除未表现标签", "null": "unavailable; inspect status and report parameters" }, "slice": { "dtype": "String", "unit": "dimension", "meaning": "__overall__ 或 evaluator 实际构造的时间／客群切片值", "null": "unavailable; inspect status and report parameters" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "hit / miss / total；此列不是原始客群，客群见 slice", "null": "unavailable; inspect status and report parameters" }, "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "expression": { "dtype": "String", "unit": "definition", "meaning": "既有 DSL 规范表达式；不执行报告文本", "null": "unavailable; inspect status and report parameters" }, "source": { "dtype": "String", "unit": "category", "meaning": "规则生成来源；不是业务特征来源", "null": "unavailable; inspect status and report parameters" }, "complexity": { "dtype": "Int64", "unit": "count", "meaning": "实际 complexity 整数计数；粒度见本表 grain", "null": "unavailable; inspect status and report parameters" }, "sample_count": { "dtype": "Int64", "unit": "count", "meaning": "当前 target 已表现样本数；group/slice/dataset 定义统计范围", "null": "unavailable; inspect status and report parameters" }, "event_count": { "dtype": "Int64", "unit": "count", "meaning": "当前范围已表现 label=1 样本数", "null": "unavailable; inspect status and report parameters" }, "coverage": { "dtype": "Float64", "unit": "ratio", "meaning": "当前范围 sample_count / 同 dataset、target、slice 的 base sample_count；只含已表现样本", "null": "unavailable; inspect status and report parameters" }, "event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_count / sample_count；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift": { "dtype": "Float64", "unit": "dimensionless", "meaning": "event_rate / 同 dataset、target、slice 的 base event_rate；零分母 null", "null": "unavailable; inspect status and report parameters" }, "lift_ci_lower": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率下界 / 同范围总体事件率；保守 Lift 下界", "null": "unavailable; inspect status and report parameters" }, "lift_ci_upper": { "dtype": "Float64", "unit": "dimensionless", "meaning": "规则 Wilson 事件率上界 / 同范围总体事件率；保守 Lift 上界", "null": "unavailable; inspect status and report parameters" }, "p_value": { "dtype": "Float64", "unit": "probability", "meaning": "按 direction 的单侧事件富集检验 p 值；方法见 evaluator", "null": "unavailable; inspect status and report parameters" }, "q_value": { "dtype": "Float64", "unit": "probability", "meaning": "同数据范围、target、slice、group 候选检验族 BH 校正 q 值", "null": "unavailable; inspect status and report parameters" }, "qualification": { "dtype": "String", "unit": "state", "meaning": "计算时 RuleSet 资格；快照恢复不会重建部署资格", "null": "unavailable; inspect status and report parameters" }, "amount_total": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "当前范围已表现样本金金额和；amount_col 未提供则 null；币种见 business_context", "null": "unavailable; inspect status and report parameters" }, "amount_event_rate": { "dtype": "Float64", "unit": "ratio", "meaning": "event_amount / amount_total；零分母 null", "null": "unavailable; inspect status and report parameters" }, "customer_count": { "dtype": "Null", "unit": "count", "meaning": "当前已表现范围去重客户数；customer_col 未提供则 null", "null": "unavailable; inspect status and report parameters" }, "customer_event_rate": { "dtype": "Null", "unit": "ratio", "meaning": "event_customer_count / customer_count；不可跨规则相加", "null": "unavailable; inspect status and report parameters" }, "explanation": { "dtype": "String", "unit": "text", "meaning": "当前行所引用验证范围的中文说明；缺指标显示 N/A", "null": "unavailable; inspect status and report parameters" } }, "state": "computed", "feature_relation": { "table": "rule_features", "key": "rule_id", "feature": "feature", "roles": { "rule_id": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次" } }, "feature_query": "relation" }, "rule_features": { "rows": 40, "grain": "distinct rule_id / English feature; includes rejected candidates", "schema_version": 1, "fields": { "rule_id": { "dtype": "String", "unit": "identifier", "meaning": "规范 DSL 的稳定哈希 ID；同 ID 可出现在不同 dataset、target 或轮次", "null": "unavailable; inspect status and report parameters" }, "feature": { "dtype": "String", "unit": "identifier", "meaning": "AST 提取的英文输入特征 ID；中文名不替代此身份", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature": "feature" }, "state": "computed", "feature_query": "direct" } }, "parameters": { "mars_version": "0.0.28", "source_project": "deimos-rule", "source_commit": "e6714c5e795054e44f0c58ad7097668b4117b4a2", "target": "TARGET", "aux_targets": [], "features": [ "EXT_SOURCE_2", "EXT_SOURCE_3" ], "validation_status": "independent", "profile": "production", "qualification": "validated", "group_col": null, "time_col": null, "time_grain": null, "amount_col": "AMT_CREDIT", "customer_col": null, "generation_errors": [], "generator_diagnostics": [], "generators": [ "MarsCombinationRuleGenerator" ], "elapsed_seconds": 0.08245650000026217, "resolved_spec": { "profile": "production", "direction": "high_risk", "candidate_filter": { "conditions": [ { "metric": "lift", "operator": ">=", "value": 1.2 }, { "metric": "event_count", "operator": ">=", "value": 3.0 }, { "metric": "coverage", "operator": ">=", "value": 0.01 }, { "metric": "coverage", "operator": "<=", "value": 0.5 } ], "targets": "primary", "target_scope": "all", "slice_pass_rate": null }, "validation_filter": { "conditions": [ { "metric": "lift", "operator": ">=", "value": 2.0 }, { "metric": "event_count", "operator": ">=", "value": 3.0 }, { "metric": "coverage", "operator": ">=", "value": 0.01 }, { "metric": "coverage", "operator": "<=", "value": 0.5 } ], "targets": "primary", "target_scope": "all", "slice_pass_rate": 0.8 }, "grade_filters": {}, "selection_strategy": "ranked", "top_k": 5, "max_candidates": 24, "iou_threshold": 0.3, "batch_size": 100, "iou_batch_size": 512, "max_rounds": 10, "random_state": 42, "on_generator_error": "raise", "confidence_level": 0.95, "max_fdr": 0.05, "min_time_slices": 3 }, "validation_summary": { "profile": "production", "qualification": "validated", "validation_status": "independent", "confidence_level": 0.95, "max_fdr": 0.05, "min_time_slices": 3, "selected_count": 1, "temporal_assessed": false, "minimum_time_slice_count": 0, "minimum_time_slice_pass_rate": null }, "slice_definition": { "kind": "not_computed", "column": null, "group_precedes_time": true, "overall_value": "__overall__" }, "analysis_states": { "slices": "not_computed", "interactions": "not_computed", "cumulative": "not_computed", "bootstrap": "not_computed" }, "advanced_analysis": null }, "feature_metadata": { "EXT_SOURCE_2": { "display_name": "外部来源分 2", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "EXT_SOURCE_3": { "display_name": "外部来源分 3", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" } }, "business_context": { "dataset_id": "home-credit-default-risk-2018", "sample_unit": "unknown", "label_definition": "unknown", "observation_window": "unknown", "source": "https://www.kaggle.com/competitions/home-credit-default-risk/data", "real_features": { "source": "application_train.csv/application_test.csv", "simulated": false, "derived_features_added": false }, "target": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" }, "date": { "field": "APPLY_DATE", "simulated": true, "train_range": [ "2026-01-01", "2026-06-30" ], "test_range": [ "2026-07-01", "2026-07-31" ], "limitation": "功能演示日期，不支持真实跨期泛化、季节性或线上漂移结论。" }, "partitions": { "field": "dataset_flag", "simulated": true, "0train": "拟合、候选发现、开发筛选与 PSI 参考分布", "1val": "验证或筛选；参与选择后不是最终独立评估", "2test": "有标签独立评估，不等同于原始 application_test", "3oot": "模拟时间外独立评估，不是真实业务 OOT", "4_oot_undue": "原始比赛测试表，标签未公开；名称不代表真实贷款未到期" }, "amount": { "field": "AMT_CREDIT", "unit": "原始金额单位", "currency": "未公开", "meaning": "贷款金额，不等于损失或利润", "included_as_feature": false }, "weights": null, "sample_scope": "两个 application 文件的全部样本", "preparation_version": "home-credit-2018-v1", "special_values": { "DAYS_EMPLOYED": { "value": 365243, "count": 64648, "handling": "保留原值；该异常正值作为本字段的特殊值配置，不应用于其他字段。", "meaning": "官方字段说明未解释此值，不推断实际就业时长。" } }, "labels": { "TARGET": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" } }, "candidate_origin": "MarsCombinationRuleGenerator; no hand-written seeds", "score_domain": "finite EXT_SOURCE_2/3; generator input prerequisite", "selection_roles": "0train discovery, 1val selection; no 2test/3oot access; temporal gate disabled" }, "source": { "dataset_id": "home-credit-default-risk-2018", "computation": "rule", "producer": "mars.rule.MarsRuleReport", "mars_version": "0.0.28", "origin_project": "deimos-rule" }, "public_functions": [], "saved_operations": "public functions accept load_report ReportSnapshot; no source samples or fitted objects required", "operations": [ "describe", "get_table", "query_page", "get_feature", "search_features", "to_ai_context", "save", "show_table", "write_excel", "write_html" ], "limitations": [ "Only saved aggregate evidence; no causal or deployment conclusion.", "Null is unavailable, not numeric zero. See status and denominators.", "Feature matching uses rule membership union; features AND sources may match different features of the same rule. sources is business data_source, not candidate generators.", "summary and benchmark do not support features/sources queries. Advanced analysis scope is advanced_analysis; no dataset identity is inferred for supplied analysis samples.", "Absent analyses are not computed; present zero-row tables are computed_empty unless explicitly not_computed. Null may be undefined or unconfigured; inspect parameters and denominators.", "Snapshot is aggregate evidence, not RuleSet JSON, transform capability or deployment permission. No original samples or models are saved." ], "maturity": "Experimental", "default_ai_queries": { "summary": { "limit": 1 }, "rule_explanations": { "limit": 3, "columns": [ "rank", "rule_id", "dataset", "target", "slice", "group", "sample_count", "event_count", "event_rate", "lift" ] } } }, "candidate_budget": 24, "raw_input_rows": 356255, "eligible_rows": 286191, "excluded_rows": 70064, "generation_rows": 172123, "selection_rows": 24700, "queries": [ { "question": "实际生成及保留多少自动候选", "reference": { "report_id": "56bb67a8-af4b-470b-bf3c-00cb151dca69", "table": "summary", "query": { "offset": 0, "limit": 1 } }, "total_rows": 1, "returned_rows": 1, "omitted_rows": 0, "next_offset": null, "rows": [ { "status": "success", "candidate_count": 24, "selected_count": 1, "validation_status": "independent", "profile": "production", "qualification": "validated" } ] }, { "question": "生成来源与拒绝原因", "reference": { "report_id": "56bb67a8-af4b-470b-bf3c-00cb151dca69", "table": "candidates", "query": { "offset": 0, "limit": 24 } }, "total_rows": 24, "returned_rows": 24, "omitted_rows": 0, "next_offset": null, "rows": [ { "rule_id": "mr_3b653a755503c34c3d87", "expression": "\"EXT_SOURCE_3\" <= 0.3706496323299817", "sources": "combination", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": true, "validation_filter_passed": false, "iou_filter_passed": null, "selection_rank": null, "status": "rejected", "rejection_stage": "validation_filter", "reason": "未通过验证阈值或切片通过率", "source_position": 1, "budget_position": 1, "budget_strategy": "seed_then_round_robin", "q_value": 2.526795091503832e-142, "lift_ci_lower": 1.9177481982626454, "lift_ci_upper": 2.1091478682239284, "temporal_assessed": false, "temporal_passed": true, "time_slice_count": 0, "time_slice_pass_rate": null }, { "rule_id": "mr_d657f2a868e27369c314", "expression": "\"EXT_SOURCE_2\" <= 0.40106155115546016", "sources": "combination", "distinct_source_count": 1, 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"source_position": 3, "budget_position": 3, "budget_strategy": "seed_then_round_robin", "q_value": null, "lift_ci_lower": null, "lift_ci_upper": null, "temporal_assessed": null, "temporal_passed": null, "time_slice_count": null, "time_slice_pass_rate": null }, { "rule_id": "mr_21208e0c31e075b97a32", "expression": "\"EXT_SOURCE_2\" > 0.665138409948743", "sources": "combination", "distinct_source_count": 1, "exact_duplicate_count": 0, "within_candidate_budget": true, "candidate_filter_passed": false, "validation_filter_passed": null, "iou_filter_passed": null, "selection_rank": null, "status": "rejected", "rejection_stage": "candidate_filter", "reason": "未通过训练集候选阈值", "source_position": 4, "budget_position": 4, "budget_strategy": "seed_then_round_robin", "q_value": null, "lift_ci_lower": null, "lift_ci_upper": null, "temporal_assessed": null, "temporal_passed": null, "time_slice_count": null, "time_slice_pass_rate": null }, { "rule_id": "mr_40617b87f9e222408fa2", "expression": 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