MARS Rule Mining Report

Summary

Metadata

{"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 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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"]}}}

Rules

Candidates

Evaluation

Slices

Rule Explanations

Rule Features