{ "case": 1, "report_id": "5d00f397-1768-44b0-9306-cd2531e7e9a6", "question": "全量数据与无标签组有哪些质量差异？", "consumer": "deterministic public API queries; no LLM", "description": { "report_type": "MarsProfileReport", "report_id": "5d00f397-1768-44b0-9306-cd2531e7e9a6", "format_version": 1, "feature_metadata": { "NAME_CONTRACT_TYPE": { "display_name": "贷款合同类型", "description": "Identification if loan is cash or revolving", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "CODE_GENDER": { "display_name": "客户性别", "description": "Gender of the client", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_OWN_CAR": { "display_name": "是否拥有汽车", "description": "Flag if the client owns a car", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_OWN_REALTY": { "display_name": "是否拥有住宅", "description": "Flag if client owns a house or flat", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "CNT_CHILDREN": { "display_name": "子女人数", "description": "Number of children the client has", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_INCOME_TOTAL": { "display_name": "客户收入", "description": "Income of the client", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "AMT_ANNUITY": { "display_name": "贷款年金", "description": "Loan annuity", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "AMT_GOODS_PRICE": { "display_name": "贷款对应商品价格", "description": "For consumer loans it is the price of the goods for which the loan is given", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "NAME_TYPE_SUITE": { "display_name": "申请时陪同人员类型", "description": "Who was accompanying client when he was applying for the loan", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "NAME_INCOME_TYPE": { "display_name": "收入类型", "description": "Clients income type (businessman, working, maternity leave,…)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "NAME_EDUCATION_TYPE": { "display_name": "最高教育程度", "description": "Level of highest education the client achieved", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "NAME_FAMILY_STATUS": { "display_name": "家庭状态", "description": "Family status of the client", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "NAME_HOUSING_TYPE": { "display_name": "居住情况", "description": "What is the housing situation of the client (renting, living with parents, ...)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REGION_POPULATION_RELATIVE": { "display_name": "居住地区归一化人口规模", "description": "Normalized population of region where client lives (higher number means the client lives in more populated region)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "DAYS_BIRTH": { "display_name": "申请时年龄天数（原始值）", "description": "Client's age in days at the time of application", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "DAYS_EMPLOYED": { "display_name": "开始当前工作相对申请的天数", "description": "How many days before the application the person started current employment", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "DAYS_REGISTRATION": { "display_name": "变更登记相对申请的天数", "description": "How many days before the application did client change his registration", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "DAYS_ID_PUBLISH": { "display_name": "变更身份证件相对申请的天数", "description": "How many days before the application did client change the identity document with which he applied for the loan", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "OWN_CAR_AGE": { "display_name": "汽车年龄", "description": "Age of client's car", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_MOBIL": { "display_name": "是否提供手机号码", "description": "Did client provide mobile phone (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_EMP_PHONE": { "display_name": "是否提供工作电话", "description": "Did client provide work phone (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_WORK_PHONE": { "display_name": "是否提供家庭电话（官方字段说明）", "description": "Did client provide home phone (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_CONT_MOBILE": { "display_name": "手机是否可联系", "description": "Was mobile phone reachable (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_PHONE": { "display_name": "是否提供家庭电话", "description": "Did client provide home phone (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_EMAIL": { "display_name": "是否提供电子邮箱", "description": "Did client provide email (1=YES, 0=NO)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "OCCUPATION_TYPE": { "display_name": "职业类型", "description": "What kind of occupation does the client have", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "CNT_FAM_MEMBERS": { "display_name": "家庭成员人数", "description": "How many family members does client have", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "REGION_RATING_CLIENT": { "display_name": "居住地区评级", "description": "Our rating of the region where client lives (1,2,3)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REGION_RATING_CLIENT_W_CITY": { "display_name": "考虑城市的居住地区评级", "description": "Our rating of the region where client lives with taking city into account (1,2,3)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "WEEKDAY_APPR_PROCESS_START": { "display_name": "申请星期", "description": "On which day of the week did the client apply for the loan", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "HOUR_APPR_PROCESS_START": { "display_name": "申请大致小时", "description": "Approximately at what hour did the client apply for the loan", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REG_REGION_NOT_LIVE_REGION": { "display_name": "永久与联系地址地区是否不同", "description": "Flag if client's permanent address does not match contact address (1=different, 0=same, at region level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REG_REGION_NOT_WORK_REGION": { "display_name": "永久与工作地址地区是否不同", "description": "Flag if client's permanent address does not match work address (1=different, 0=same, at region level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "LIVE_REGION_NOT_WORK_REGION": { "display_name": "联系与工作地址地区是否不同", "description": "Flag if client's contact address does not match work address (1=different, 0=same, at region level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REG_CITY_NOT_LIVE_CITY": { "display_name": "永久与联系地址城市是否不同", "description": "Flag if client's permanent address does not match contact address (1=different, 0=same, at city level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REG_CITY_NOT_WORK_CITY": { "display_name": "永久与工作地址城市是否不同", "description": "Flag if client's permanent address does not match work address (1=different, 0=same, at city level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "LIVE_CITY_NOT_WORK_CITY": { "display_name": "联系与工作地址城市是否不同", "description": "Flag if client's contact address does not match work address (1=different, 0=same, at city level)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "ORGANIZATION_TYPE": { "display_name": "工作单位类型", "description": "Type of organization where client works", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "EXT_SOURCE_1": { "display_name": "外部来源分 1", "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_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）" }, "APARTMENTS_AVG": { "display_name": "建筑公寓信息归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "BASEMENTAREA_AVG": { "display_name": "地下室面积归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BEGINEXPLUATATION_AVG": { "display_name": "建筑开始使用年限归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BUILD_AVG": { "display_name": "建筑建成年限归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "COMMONAREA_AVG": { "display_name": "公共区域面积归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ELEVATORS_AVG": { "display_name": "电梯数量归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ENTRANCES_AVG": { "display_name": "入口数量归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMAX_AVG": { "display_name": "最高楼层归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMIN_AVG": { "display_name": "最低楼层归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LANDAREA_AVG": { "display_name": "土地面积归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAPARTMENTS_AVG": { "display_name": "居住公寓信息归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAREA_AVG": { "display_name": "居住面积归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAPARTMENTS_AVG": { "display_name": "非居住公寓信息归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAREA_AVG": { "display_name": "非居住面积归一化均值", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "APARTMENTS_MODE": { "display_name": "建筑公寓信息归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "BASEMENTAREA_MODE": { "display_name": "地下室面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BEGINEXPLUATATION_MODE": { "display_name": "建筑开始使用年限归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BUILD_MODE": { "display_name": "建筑建成年限归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "COMMONAREA_MODE": { "display_name": "公共区域面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ELEVATORS_MODE": { "display_name": "电梯数量归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ENTRANCES_MODE": { "display_name": "入口数量归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMAX_MODE": { "display_name": "最高楼层归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMIN_MODE": { "display_name": "最低楼层归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LANDAREA_MODE": { "display_name": "土地面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAPARTMENTS_MODE": { "display_name": "居住公寓信息归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAREA_MODE": { "display_name": "居住面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAPARTMENTS_MODE": { "display_name": "非居住公寓信息归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAREA_MODE": { "display_name": "非居住面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "APARTMENTS_MEDI": { "display_name": "建筑公寓信息归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "BASEMENTAREA_MEDI": { "display_name": "地下室面积归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BEGINEXPLUATATION_MEDI": { "display_name": "建筑开始使用年限归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "YEARS_BUILD_MEDI": { "display_name": "建筑建成年限归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "COMMONAREA_MEDI": { "display_name": "公共区域面积归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ELEVATORS_MEDI": { "display_name": "电梯数量归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "ENTRANCES_MEDI": { "display_name": "入口数量归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMAX_MEDI": { "display_name": "最高楼层归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FLOORSMIN_MEDI": { "display_name": "最低楼层归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LANDAREA_MEDI": { "display_name": "土地面积归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAPARTMENTS_MEDI": { "display_name": "居住公寓信息归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "LIVINGAREA_MEDI": { "display_name": "居住面积归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAPARTMENTS_MEDI": { "display_name": "非居住公寓信息归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "NONLIVINGAREA_MEDI": { "display_name": "非居住面积归一化中位数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "FONDKAPREMONT_MODE": { "display_name": "建筑信息 FONDKAPREMONT 众数（细项未公开）", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "HOUSETYPE_MODE": { "display_name": "住房类型众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "TOTALAREA_MODE": { "display_name": "建筑总面积归一化众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "WALLSMATERIAL_MODE": { "display_name": "墙体材料众数", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "EMERGENCYSTATE_MODE": { "display_name": "建筑状态信息众数（细项未公开）", "description": "Normalized information about building where the client lives, What is average (_AVG suffix), modus (_MODE suffix), median (_MEDI suffix) apartment size, common area, living area, age of building, number of elevators, number of entrances, state of the building, number of floor", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "OBS_30_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈可观察的 30 天逾期记录数", "description": "How many observation of client's social surroundings with observable 30 DPD (days past due) default", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "DEF_30_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈发生 30 天逾期的记录数", "description": "How many observation of client's social surroundings defaulted on 30 DPD (days past due)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "OBS_60_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈可观察的 60 天逾期记录数", "description": "How many observation of client's social surroundings with observable 60 DPD (days past due) default", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "DEF_60_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈发生 60 天逾期的记录数", "description": "How many observation of client's social surroundings defaulted on 60 (days past due) DPD", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "DAYS_LAST_PHONE_CHANGE": { "display_name": "更换电话相对申请的天数", "description": "How many days before application did client change phone", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "FLAG_DOCUMENT_2": { "display_name": "是否提供文件 2", "description": "Did client provide document 2", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_3": { "display_name": "是否提供文件 3", "description": "Did client provide document 3", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_4": { "display_name": "是否提供文件 4", "description": "Did client provide document 4", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_5": { "display_name": "是否提供文件 5", "description": "Did client provide document 5", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_6": { "display_name": "是否提供文件 6", "description": "Did client provide document 6", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_7": { "display_name": "是否提供文件 7", "description": "Did client provide document 7", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_8": { "display_name": "是否提供文件 8", "description": "Did client provide document 8", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_9": { "display_name": "是否提供文件 9", "description": "Did client provide document 9", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_10": { "display_name": "是否提供文件 10", "description": "Did client provide document 10", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_11": { "display_name": "是否提供文件 11", "description": "Did client provide document 11", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_12": { "display_name": "是否提供文件 12", "description": "Did client provide document 12", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_13": { "display_name": "是否提供文件 13", "description": "Did client provide document 13", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_14": { "display_name": "是否提供文件 14", "description": "Did client provide document 14", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_15": { "display_name": "是否提供文件 15", "description": "Did client provide document 15", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_16": { "display_name": "是否提供文件 16", "description": "Did client provide document 16", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_17": { "display_name": "是否提供文件 17", "description": "Did client provide document 17", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_18": { "display_name": "是否提供文件 18", "description": "Did client provide document 18", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_19": { "display_name": "是否提供文件 19", "description": "Did client provide document 19", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_20": { "display_name": "是否提供文件 20", "description": "Did client provide document 20", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "FLAG_DOCUMENT_21": { "display_name": "是否提供文件 21", "description": "Did client provide document 21", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "AMT_REQ_CREDIT_BUREAU_HOUR": { "display_name": "申请前一小时征信查询次数", "description": "Number of enquiries to Credit Bureau about the client one hour before application", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_REQ_CREDIT_BUREAU_DAY": { "display_name": "申请前一天征信查询次数（不含前一小时）", "description": "Number of enquiries to Credit Bureau about the client one day before application (excluding one hour before application)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_REQ_CREDIT_BUREAU_WEEK": { "display_name": "申请前一周征信查询次数（不含前一天）", "description": "Number of enquiries to Credit Bureau about the client one week before application (excluding one day before application)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_REQ_CREDIT_BUREAU_MON": { "display_name": "申请前一个月征信查询次数（不含前一周）", "description": "Number of enquiries to Credit Bureau about the client one month before application (excluding one week before application)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_REQ_CREDIT_BUREAU_QRT": { "display_name": "申请前三个月征信查询次数（不含前一个月）", "description": "Number of enquiries to Credit Bureau about the client 3 month before application (excluding one month before application)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "AMT_REQ_CREDIT_BUREAU_YEAR": { "display_name": "申请前一年征信查询次数（官方说明原文有歧义）", "description": "Number of enquiries to Credit Bureau about the client one day year (excluding last 3 months before application)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" } }, "source": { "kind": "analysis", "producer": "mars", "input_provenance": "caller_provided_dataframe" }, "context_source": { "business_context": { "label_definition": "unknown", "observation_window": "unknown", "currency": "unknown", "dataset_id": "user_provided", "source": "user_provided", "real_features": "user_provided", "target": "user_provided", "date": "user_provided", "partitions": "user_provided", "amount": "user_provided", "weights": "user_provided", "sample_scope": "user_provided", "preparation_version": "user_provided", "special_values": "user_provided", "labels": "user_provided" }, "parameters": "calculation" }, "serialization": { "non_finite": "tagged float: {$mars: float, value: nan/inf/-inf}", "date": "ISO-8601", "null": "missing; calculation state is separate" }, "tables": { 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"调用方校验后的特征可读名称；缺失可在展示时回退原始 ID" }, "dtype": { "dtype": "String", "unit": "type", "meaning": "原输入字段的数据类型" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED" }, "group": { "dtype": "String", "unit": "dimension", "meaning": "状态所属分组；Total 为全量" }, "metric": { "dtype": "String", "unit": "identifier", "meaning": "计算状态适用的指标或指标族" }, "status": { "dtype": "String", "unit": "state", "meaning": "computed 已计算（有效零仍为零）；not_computed 未计算；unobserved 无观测标签；undefined 无法定义；insufficient_samples 样本不足；failed 计算失败；skipped 跳过；结合 reason" }, "reason": { "dtype": "String", "unit": "state_reason", "meaning": "no_target 未提供目标；no_observed_labels 无已观测标签；single_observed_class 仅一种观测类别；其他失败、跳过、样本不足或无法定义原因；空值不替代有效零" } } }, "dq.missing": { "rows": 119, "index": null, "grain": "feature (groups in columns)", "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称" }, "display_name": { "dtype": "String", "unit": "category", "meaning": "调用方校验后的特征可读名称；缺失可在展示时回退原始 ID" }, "dtype": { "dtype": "String", "unit": "type", "meaning": "原输入字段的数据类型" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED" }, "0train": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" }, "1val": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" }, "2test": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" }, "3oot": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" }, "4_oot_undue": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" }, "total": { "dtype": "Float64", "unit": "ratio", "meaning": "缺失箱样本量/全样本量；画像包括 Null、NaN 和配置缺失值" } } }, "dq.zeros": { "rows": 119, "index": null, "grain": "feature (groups in columns)", "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称" }, "display_name": { "dtype": "String", "unit": "category", "meaning": "调用方校验后的特征可读名称；缺失可在展示时回退原始 ID" }, "dtype": { "dtype": "String", "unit": "type", "meaning": "原输入字段的数据类型" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED" }, "0train": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" }, "1val": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" }, "2test": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" }, "3oot": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" }, "4_oot_undue": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" }, "total": { "dtype": "Float64", "unit": "ratio", "meaning": "原始零值数/全样本数，非数值字段为 0" } } }, "stats.mean": { "rows": 119, "index": null, "grain": "feature (groups in columns)", "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称" }, "display_name": { "dtype": "String", "unit": "category", "meaning": "调用方校验后的特征可读名称；缺失可在展示时回退原始 ID" }, "dtype": { "dtype": "String", "unit": "type", "meaning": "原输入字段的数据类型" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED" }, "0train": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" }, "1val": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" }, "2test": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" }, "3oot": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" }, "4_oot_undue": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" }, "total": { "dtype": "Float64", "unit": "unknown_business_unit", "meaning": "非加权有效值均值；排除 Null、NaN、配置缺失值和特殊值；非数值字段未计算" } } }, "stats.psi": { "rows": 119, "index": null, "grain": "feature (groups in columns)", "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称" }, "display_name": { "dtype": "String", "unit": "category", "meaning": "调用方校验后的特征可读名称；缺失可在展示时回退原始 ID" }, "dtype": { "dtype": "String", "unit": "type", "meaning": "原输入字段的数据类型" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED" }, "0train": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" }, "1val": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" }, "2test": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" }, "3oot": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" }, "4_oot_undue": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" }, "total": { "dtype": "Float64", "unit": "dimensionless", "meaning": "各箱 (actual-expected)×ln(actual/expected) 之和；参考及箱范围见参数" } } } }, "calculation_state": { "table": "calculation_status", "diagnostics": "parameters.diagnostics/fit_failures/raw_ks_diagnostics", "scope": "feature/target/group/metric; profile status contains exceptional outcomes only, not all trend cells" }, "parameters": { "mars_version": "0.0.28", "polars_version": "1.42.0", "generated_at_utc": "2026-10-15T14:46:46.380326+00:00", "input_type": "polars", "row_count": 356255, "column_count": 124, "features": [ "NAME_CONTRACT_TYPE", "CODE_GENDER", "FLAG_OWN_CAR", "FLAG_OWN_REALTY", "CNT_CHILDREN", "AMT_INCOME_TOTAL", "AMT_ANNUITY", "AMT_GOODS_PRICE", "NAME_TYPE_SUITE", "NAME_INCOME_TYPE", "NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE", "REGION_POPULATION_RELATIVE", "DAYS_BIRTH", "DAYS_EMPLOYED", "DAYS_REGISTRATION", "DAYS_ID_PUBLISH", "OWN_CAR_AGE", "FLAG_MOBIL", "FLAG_EMP_PHONE", "FLAG_WORK_PHONE", "FLAG_CONT_MOBILE", "FLAG_PHONE", "FLAG_EMAIL", "OCCUPATION_TYPE", "CNT_FAM_MEMBERS", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "WEEKDAY_APPR_PROCESS_START", "HOUR_APPR_PROCESS_START", "REG_REGION_NOT_LIVE_REGION", "REG_REGION_NOT_WORK_REGION", "LIVE_REGION_NOT_WORK_REGION", "REG_CITY_NOT_LIVE_CITY", "REG_CITY_NOT_WORK_CITY", "LIVE_CITY_NOT_WORK_CITY", "ORGANIZATION_TYPE", "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "APARTMENTS_AVG", "BASEMENTAREA_AVG", "YEARS_BEGINEXPLUATATION_AVG", "YEARS_BUILD_AVG", "COMMONAREA_AVG", "ELEVATORS_AVG", "ENTRANCES_AVG", "FLOORSMAX_AVG", "FLOORSMIN_AVG", "LANDAREA_AVG", "LIVINGAPARTMENTS_AVG", "LIVINGAREA_AVG", "NONLIVINGAPARTMENTS_AVG", "NONLIVINGAREA_AVG", "APARTMENTS_MODE", "BASEMENTAREA_MODE", "YEARS_BEGINEXPLUATATION_MODE", "YEARS_BUILD_MODE", "COMMONAREA_MODE", "ELEVATORS_MODE", "ENTRANCES_MODE", "FLOORSMAX_MODE", "FLOORSMIN_MODE", "LANDAREA_MODE", "LIVINGAPARTMENTS_MODE", "LIVINGAREA_MODE", "NONLIVINGAPARTMENTS_MODE", "NONLIVINGAREA_MODE", "APARTMENTS_MEDI", "BASEMENTAREA_MEDI", "YEARS_BEGINEXPLUATATION_MEDI", "YEARS_BUILD_MEDI", "COMMONAREA_MEDI", "ELEVATORS_MEDI", "ENTRANCES_MEDI", "FLOORSMAX_MEDI", "FLOORSMIN_MEDI", "LANDAREA_MEDI", "LIVINGAPARTMENTS_MEDI", "LIVINGAREA_MEDI", "NONLIVINGAPARTMENTS_MEDI", "NONLIVINGAREA_MEDI", "FONDKAPREMONT_MODE", "HOUSETYPE_MODE", "TOTALAREA_MODE", "WALLSMATERIAL_MODE", "EMERGENCYSTATE_MODE", "OBS_30_CNT_SOCIAL_CIRCLE", "DEF_30_CNT_SOCIAL_CIRCLE", "OBS_60_CNT_SOCIAL_CIRCLE", "DEF_60_CNT_SOCIAL_CIRCLE", "DAYS_LAST_PHONE_CHANGE", "FLAG_DOCUMENT_2", "FLAG_DOCUMENT_3", "FLAG_DOCUMENT_4", "FLAG_DOCUMENT_5", "FLAG_DOCUMENT_6", "FLAG_DOCUMENT_7", "FLAG_DOCUMENT_8", "FLAG_DOCUMENT_9", "FLAG_DOCUMENT_10", "FLAG_DOCUMENT_11", "FLAG_DOCUMENT_12", "FLAG_DOCUMENT_13", "FLAG_DOCUMENT_14", "FLAG_DOCUMENT_15", "FLAG_DOCUMENT_16", "FLAG_DOCUMENT_17", "FLAG_DOCUMENT_18", "FLAG_DOCUMENT_19", "FLAG_DOCUMENT_20", "FLAG_DOCUMENT_21", "AMT_REQ_CREDIT_BUREAU_HOUR", "AMT_REQ_CREDIT_BUREAU_DAY", "AMT_REQ_CREDIT_BUREAU_WEEK", "AMT_REQ_CREDIT_BUREAU_MON", "AMT_REQ_CREDIT_BUREAU_QRT", "AMT_REQ_CREDIT_BUREAU_YEAR" ], "feature_dtypes": { "NAME_CONTRACT_TYPE": "String", "CODE_GENDER": "String", "FLAG_OWN_CAR": "String", "FLAG_OWN_REALTY": "String", "CNT_CHILDREN": "Int64", "AMT_INCOME_TOTAL": "Float64", "AMT_ANNUITY": "Float64", "AMT_GOODS_PRICE": "Float64", "NAME_TYPE_SUITE": "String", "NAME_INCOME_TYPE": "String", "NAME_EDUCATION_TYPE": "String", "NAME_FAMILY_STATUS": "String", "NAME_HOUSING_TYPE": "String", "REGION_POPULATION_RELATIVE": "Float64", "DAYS_BIRTH": "Int64", "DAYS_EMPLOYED": "Int64", "DAYS_REGISTRATION": "Float64", "DAYS_ID_PUBLISH": "Int64", "OWN_CAR_AGE": "Float64", "FLAG_MOBIL": "Int64", "FLAG_EMP_PHONE": "Int64", "FLAG_WORK_PHONE": "Int64", "FLAG_CONT_MOBILE": "Int64", "FLAG_PHONE": "Int64", "FLAG_EMAIL": "Int64", "OCCUPATION_TYPE": "String", "CNT_FAM_MEMBERS": "Float64", "REGION_RATING_CLIENT": "Int64", "REGION_RATING_CLIENT_W_CITY": "Int64", "WEEKDAY_APPR_PROCESS_START": "String", "HOUR_APPR_PROCESS_START": "Int64", "REG_REGION_NOT_LIVE_REGION": "Int64", "REG_REGION_NOT_WORK_REGION": "Int64", "LIVE_REGION_NOT_WORK_REGION": "Int64", "REG_CITY_NOT_LIVE_CITY": "Int64", "REG_CITY_NOT_WORK_CITY": "Int64", "LIVE_CITY_NOT_WORK_CITY": "Int64", "ORGANIZATION_TYPE": "String", "EXT_SOURCE_1": "Float64", "EXT_SOURCE_2": "Float64", "EXT_SOURCE_3": "Float64", "APARTMENTS_AVG": "Float64", "BASEMENTAREA_AVG": "Float64", "YEARS_BEGINEXPLUATATION_AVG": "Float64", "YEARS_BUILD_AVG": "Float64", "COMMONAREA_AVG": "Float64", "ELEVATORS_AVG": "Float64", "ENTRANCES_AVG": "Float64", "FLOORSMAX_AVG": "Float64", "FLOORSMIN_AVG": "Float64", "LANDAREA_AVG": "Float64", "LIVINGAPARTMENTS_AVG": "Float64", "LIVINGAREA_AVG": "Float64", "NONLIVINGAPARTMENTS_AVG": "Float64", "NONLIVINGAREA_AVG": "Float64", "APARTMENTS_MODE": "Float64", "BASEMENTAREA_MODE": "Float64", "YEARS_BEGINEXPLUATATION_MODE": "Float64", "YEARS_BUILD_MODE": "Float64", "COMMONAREA_MODE": "Float64", "ELEVATORS_MODE": "Float64", "ENTRANCES_MODE": "Float64", "FLOORSMAX_MODE": "Float64", "FLOORSMIN_MODE": "Float64", "LANDAREA_MODE": "Float64", "LIVINGAPARTMENTS_MODE": "Float64", "LIVINGAREA_MODE": "Float64", "NONLIVINGAPARTMENTS_MODE": "Float64", "NONLIVINGAREA_MODE": "Float64", "APARTMENTS_MEDI": "Float64", "BASEMENTAREA_MEDI": "Float64", "YEARS_BEGINEXPLUATATION_MEDI": "Float64", "YEARS_BUILD_MEDI": "Float64", "COMMONAREA_MEDI": "Float64", "ELEVATORS_MEDI": "Float64", "ENTRANCES_MEDI": "Float64", "FLOORSMAX_MEDI": "Float64", "FLOORSMIN_MEDI": "Float64", "LANDAREA_MEDI": "Float64", "LIVINGAPARTMENTS_MEDI": "Float64", "LIVINGAREA_MEDI": "Float64", "NONLIVINGAPARTMENTS_MEDI": "Float64", "NONLIVINGAREA_MEDI": "Float64", "FONDKAPREMONT_MODE": "String", "HOUSETYPE_MODE": "String", "TOTALAREA_MODE": "Float64", "WALLSMATERIAL_MODE": "String", "EMERGENCYSTATE_MODE": "String", "OBS_30_CNT_SOCIAL_CIRCLE": "Float64", "DEF_30_CNT_SOCIAL_CIRCLE": "Float64", "OBS_60_CNT_SOCIAL_CIRCLE": "Float64", "DEF_60_CNT_SOCIAL_CIRCLE": "Float64", "DAYS_LAST_PHONE_CHANGE": "Float64", "FLAG_DOCUMENT_2": "Int64", "FLAG_DOCUMENT_3": "Int64", "FLAG_DOCUMENT_4": "Int64", "FLAG_DOCUMENT_5": "Int64", "FLAG_DOCUMENT_6": "Int64", "FLAG_DOCUMENT_7": "Int64", "FLAG_DOCUMENT_8": "Int64", "FLAG_DOCUMENT_9": "Int64", "FLAG_DOCUMENT_10": "Int64", "FLAG_DOCUMENT_11": "Int64", "FLAG_DOCUMENT_12": "Int64", "FLAG_DOCUMENT_13": "Int64", "FLAG_DOCUMENT_14": "Int64", "FLAG_DOCUMENT_15": "Int64", "FLAG_DOCUMENT_16": "Int64", "FLAG_DOCUMENT_17": "Int64", "FLAG_DOCUMENT_18": "Int64", "FLAG_DOCUMENT_19": "Int64", "FLAG_DOCUMENT_20": "Int64", "FLAG_DOCUMENT_21": "Int64", "AMT_REQ_CREDIT_BUREAU_HOUR": "Float64", "AMT_REQ_CREDIT_BUREAU_DAY": "Float64", "AMT_REQ_CREDIT_BUREAU_WEEK": "Float64", "AMT_REQ_CREDIT_BUREAU_MON": "Float64", "AMT_REQ_CREDIT_BUREAU_QRT": "Float64", "AMT_REQ_CREDIT_BUREAU_YEAR": "Float64" }, "metrics": [ "missing", "zeros", "mean", "psi" ], "group_col": "dataset_flag", "time_col": null, "time_grain": null, "benchmark_row_count": 215374, "categorical_features": [ "NAME_CONTRACT_TYPE", "CODE_GENDER", "FLAG_OWN_CAR", "FLAG_OWN_REALTY", "NAME_TYPE_SUITE", "NAME_INCOME_TYPE", "NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE", "OCCUPATION_TYPE", "WEEKDAY_APPR_PROCESS_START", "ORGANIZATION_TYPE", "FONDKAPREMONT_MODE", "HOUSETYPE_MODE", "WALLSMATERIAL_MODE", "EMERGENCYSTATE_MODE" ], "profile_config": { "missing_values": [], "special_values": [], "overview_batch_size": 500, "psi_batch_size": 50, "psi_remove_empty_bins": true, "psi_merge_small_bins": true, "psi_min_bin_size": 0.02, "psi_cv_ignore_threshold": 0.05, "enable_sparkline": false, "sparkline_sample_size": 200000, "sparkline_bins": 8, "psi_n_bins": 10, "psi_bin_method": "quantile", "psi_include_missing": false, "psi_include_special": false }, "diagnostics": [] }, "business_context": { "label_definition": "unknown", "observation_window": "unknown", "currency": "unknown", "dataset_id": "home-credit-default-risk-2018", "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" } } }, "limitations": [ "只组织已有统计，未计算表不在目录中；失败和跳过见 parameters.diagnostics / fit_failures。", "Null 不是数值 0；风险指标需结合标签表现状态，样本分布使用全样本。", "比较前核对样本范围、权重、缺失/特殊箱、拟合来源、排序口径及参考来源；关联不代表因果。" ] }, "queries": [ { "question": "真实外部来源分覆盖率及字段单位", "reference": { "report_id": "5d00f397-1768-44b0-9306-cd2531e7e9a6", "table": "overview", "query": { "offset": 0, "limit": 3, "features": [ "EXT_SOURCE_2", "EXT_SOURCE_3" ] } }, "total_rows": 2, "returned_rows": 2, "omitted_rows": 0, "next_offset": null, "rows": [ { "feature": "EXT_SOURCE_2", "display_name": "外部来源分 2", "dtype": "Float64", "data_source": "Home Credit 2018 application_{train|test}.csv", "missing_rate": 0.0018750614026469803, "zeros_rate": 0.0, "mean": 0.5148899751498333 }, { "feature": "EXT_SOURCE_3", "display_name": "外部来源分 3", "dtype": "Float64", "data_source": "Home Credit 2018 application_{train|test}.csv", "missing_rate": 0.19545830935706165, "zeros_rate": 0.0, "mean": 0.5093502021860119 } ] }, { "question": "五分区外部来源分缺失率", "reference": { "report_id": "5d00f397-1768-44b0-9306-cd2531e7e9a6", "table": "dq.missing", "query": { "offset": 0, "limit": 3, "features": [ "EXT_SOURCE_2", "EXT_SOURCE_3" ] } }, "total_rows": 2, "returned_rows": 2, "omitted_rows": 0, "next_offset": null, "rows": [ { "feature": "EXT_SOURCE_2", "display_name": "外部来源分 2", "dtype": "Float64", "data_source": "Home Credit 2018 application_{train|test}.csv", "0train": 0.0020708163473771206, "1val": 0.0021484375, "2test": 0.0019897576409955314, "3oot": 0.0028283485045513656, "4_oot_undue": 0.00016412276382734285, "total": 0.0018750614026469803 }, { "feature": "EXT_SOURCE_3", "display_name": "外部来源分 3", "dtype": "Float64", "data_source": "Home Credit 2018 application_{train|test}.csv", "0train": 0.19945768755745819, "1val": 0.19459635416666668, "2test": 0.19789933783475225, "3oot": 0.19382314694408323, "4_oot_undue": 0.177827014606926, "total": 0.19545830935706165 } ] }, { "question": "收入与原始就业天数的质量", "reference": { "report_id": "5d00f397-1768-44b0-9306-cd2531e7e9a6", "table": "overview", "query": { "offset": 0, "limit": 3, "features": [ "AMT_INCOME_TOTAL", "DAYS_EMPLOYED" ] } }, "total_rows": 2, "returned_rows": 2, "omitted_rows": 0, "next_offset": null, "rows": [ { "feature": "AMT_INCOME_TOTAL", "display_name": "客户收入", "dtype": "Float64", "data_source": "Home Credit 2018 application_{train|test}.csv", "missing_rate": 0.0, "zeros_rate": 0.0, "mean": 170116.05986028264 }, { "feature": "DAYS_EMPLOYED", "display_name": "开始当前工作相对申请的天数", "dtype": "Int64", "data_source": "Home Credit 2018 application_{train|test}.csv", "missing_rate": 0.0, "zeros_rate": 5.613956295350241e-06, "mean": 64317.23141289245 } ] } ], "findings": { "input_row_count": 356255, "candidate_features": [ "NAME_CONTRACT_TYPE", "CODE_GENDER", "FLAG_OWN_CAR", "FLAG_OWN_REALTY", "CNT_CHILDREN", "AMT_INCOME_TOTAL", "AMT_ANNUITY", "AMT_GOODS_PRICE", "NAME_TYPE_SUITE", "NAME_INCOME_TYPE", "NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE", "REGION_POPULATION_RELATIVE", "DAYS_BIRTH", "DAYS_EMPLOYED", "DAYS_REGISTRATION", "DAYS_ID_PUBLISH", "OWN_CAR_AGE", "FLAG_MOBIL", "FLAG_EMP_PHONE", "FLAG_WORK_PHONE", "FLAG_CONT_MOBILE", "FLAG_PHONE", "FLAG_EMAIL", "OCCUPATION_TYPE", "CNT_FAM_MEMBERS", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "WEEKDAY_APPR_PROCESS_START", "HOUR_APPR_PROCESS_START", "REG_REGION_NOT_LIVE_REGION", "REG_REGION_NOT_WORK_REGION", "LIVE_REGION_NOT_WORK_REGION", "REG_CITY_NOT_LIVE_CITY", "REG_CITY_NOT_WORK_CITY", "LIVE_CITY_NOT_WORK_CITY", "ORGANIZATION_TYPE", "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "APARTMENTS_AVG", "BASEMENTAREA_AVG", "YEARS_BEGINEXPLUATATION_AVG", "YEARS_BUILD_AVG", "COMMONAREA_AVG", "ELEVATORS_AVG", "ENTRANCES_AVG", "FLOORSMAX_AVG", "FLOORSMIN_AVG", "LANDAREA_AVG", "LIVINGAPARTMENTS_AVG", "LIVINGAREA_AVG", "NONLIVINGAPARTMENTS_AVG", "NONLIVINGAREA_AVG", "APARTMENTS_MODE", "BASEMENTAREA_MODE", "YEARS_BEGINEXPLUATATION_MODE", "YEARS_BUILD_MODE", "COMMONAREA_MODE", "ELEVATORS_MODE", "ENTRANCES_MODE", "FLOORSMAX_MODE", "FLOORSMIN_MODE", "LANDAREA_MODE", "LIVINGAPARTMENTS_MODE", "LIVINGAREA_MODE", "NONLIVINGAPARTMENTS_MODE", "NONLIVINGAREA_MODE", "APARTMENTS_MEDI", "BASEMENTAREA_MEDI", "YEARS_BEGINEXPLUATATION_MEDI", "YEARS_BUILD_MEDI", "COMMONAREA_MEDI", "ELEVATORS_MEDI", "ENTRANCES_MEDI", "FLOORSMAX_MEDI", "FLOORSMIN_MEDI", "LANDAREA_MEDI", "LIVINGAPARTMENTS_MEDI", "LIVINGAREA_MEDI", "NONLIVINGAPARTMENTS_MEDI", "NONLIVINGAREA_MEDI", "FONDKAPREMONT_MODE", "HOUSETYPE_MODE", "TOTALAREA_MODE", "WALLSMATERIAL_MODE", "EMERGENCYSTATE_MODE", "OBS_30_CNT_SOCIAL_CIRCLE", "DEF_30_CNT_SOCIAL_CIRCLE", "OBS_60_CNT_SOCIAL_CIRCLE", "DEF_60_CNT_SOCIAL_CIRCLE", "DAYS_LAST_PHONE_CHANGE", "FLAG_DOCUMENT_2", "FLAG_DOCUMENT_3", "FLAG_DOCUMENT_4", "FLAG_DOCUMENT_5", "FLAG_DOCUMENT_6", "FLAG_DOCUMENT_7", "FLAG_DOCUMENT_8", "FLAG_DOCUMENT_9", "FLAG_DOCUMENT_10", "FLAG_DOCUMENT_11", "FLAG_DOCUMENT_12", "FLAG_DOCUMENT_13", "FLAG_DOCUMENT_14", "FLAG_DOCUMENT_15", "FLAG_DOCUMENT_16", "FLAG_DOCUMENT_17", "FLAG_DOCUMENT_18", "FLAG_DOCUMENT_19", "FLAG_DOCUMENT_20", "FLAG_DOCUMENT_21", "AMT_REQ_CREDIT_BUREAU_HOUR", "AMT_REQ_CREDIT_BUREAU_DAY", "AMT_REQ_CREDIT_BUREAU_WEEK", "AMT_REQ_CREDIT_BUREAU_MON", "AMT_REQ_CREDIT_BUREAU_QRT", "AMT_REQ_CREDIT_BUREAU_YEAR" ], "analyzed_features": [ "NAME_CONTRACT_TYPE", "CODE_GENDER", "FLAG_OWN_CAR", "FLAG_OWN_REALTY", "CNT_CHILDREN", "AMT_INCOME_TOTAL", "AMT_ANNUITY", "AMT_GOODS_PRICE", "NAME_TYPE_SUITE", "NAME_INCOME_TYPE", "NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE", "REGION_POPULATION_RELATIVE", "DAYS_BIRTH", "DAYS_EMPLOYED", "DAYS_REGISTRATION", "DAYS_ID_PUBLISH", "OWN_CAR_AGE", "FLAG_MOBIL", "FLAG_EMP_PHONE", "FLAG_WORK_PHONE", "FLAG_CONT_MOBILE", "FLAG_PHONE", "FLAG_EMAIL", "OCCUPATION_TYPE", "CNT_FAM_MEMBERS", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "WEEKDAY_APPR_PROCESS_START", "HOUR_APPR_PROCESS_START", "REG_REGION_NOT_LIVE_REGION", "REG_REGION_NOT_WORK_REGION", "LIVE_REGION_NOT_WORK_REGION", "REG_CITY_NOT_LIVE_CITY", "REG_CITY_NOT_WORK_CITY", "LIVE_CITY_NOT_WORK_CITY", "ORGANIZATION_TYPE", "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "APARTMENTS_AVG", "BASEMENTAREA_AVG", "YEARS_BEGINEXPLUATATION_AVG", "YEARS_BUILD_AVG", "COMMONAREA_AVG", "ELEVATORS_AVG", "ENTRANCES_AVG", "FLOORSMAX_AVG", "FLOORSMIN_AVG", "LANDAREA_AVG", "LIVINGAPARTMENTS_AVG", "LIVINGAREA_AVG", "NONLIVINGAPARTMENTS_AVG", "NONLIVINGAREA_AVG", "APARTMENTS_MODE", "BASEMENTAREA_MODE", "YEARS_BEGINEXPLUATATION_MODE", "YEARS_BUILD_MODE", "COMMONAREA_MODE", "ELEVATORS_MODE", "ENTRANCES_MODE", "FLOORSMAX_MODE", "FLOORSMIN_MODE", "LANDAREA_MODE", "LIVINGAPARTMENTS_MODE", "LIVINGAREA_MODE", "NONLIVINGAPARTMENTS_MODE", "NONLIVINGAREA_MODE", "APARTMENTS_MEDI", "BASEMENTAREA_MEDI", "YEARS_BEGINEXPLUATATION_MEDI", "YEARS_BUILD_MEDI", "COMMONAREA_MEDI", "ELEVATORS_MEDI", "ENTRANCES_MEDI", "FLOORSMAX_MEDI", "FLOORSMIN_MEDI", "LANDAREA_MEDI", "LIVINGAPARTMENTS_MEDI", "LIVINGAREA_MEDI", "NONLIVINGAPARTMENTS_MEDI", "NONLIVINGAREA_MEDI", "FONDKAPREMONT_MODE", "HOUSETYPE_MODE", "TOTALAREA_MODE", "WALLSMATERIAL_MODE", "EMERGENCYSTATE_MODE", "OBS_30_CNT_SOCIAL_CIRCLE", "DEF_30_CNT_SOCIAL_CIRCLE", "OBS_60_CNT_SOCIAL_CIRCLE", "DEF_60_CNT_SOCIAL_CIRCLE", "DAYS_LAST_PHONE_CHANGE", "FLAG_DOCUMENT_2", "FLAG_DOCUMENT_3", "FLAG_DOCUMENT_4", "FLAG_DOCUMENT_5", "FLAG_DOCUMENT_6", "FLAG_DOCUMENT_7", "FLAG_DOCUMENT_8", "FLAG_DOCUMENT_9", "FLAG_DOCUMENT_10", "FLAG_DOCUMENT_11", "FLAG_DOCUMENT_12", "FLAG_DOCUMENT_13", "FLAG_DOCUMENT_14", "FLAG_DOCUMENT_15", "FLAG_DOCUMENT_16", "FLAG_DOCUMENT_17", "FLAG_DOCUMENT_18", "FLAG_DOCUMENT_19", "FLAG_DOCUMENT_20", "FLAG_DOCUMENT_21", "AMT_REQ_CREDIT_BUREAU_HOUR", "AMT_REQ_CREDIT_BUREAU_DAY", "AMT_REQ_CREDIT_BUREAU_WEEK", "AMT_REQ_CREDIT_BUREAU_MON", "AMT_REQ_CREDIT_BUREAU_QRT", "AMT_REQ_CREDIT_BUREAU_YEAR" ], "labels_by_split": [ { "dataset_flag": "0train", "total_count": 215374, "date_min": "2026-01-01", "date_max": "2026-05-07", "observed_count": 215374, "null_count": 0, "target_0_count": 197909, "target_1_count": 17465, "observed_bad_rate": 0.081091496652335, "label_coverage": 1.0, "label_status": "observed" }, { "dataset_flag": "1val", "total_count": 30720, "date_min": "2026-05-08", "date_max": "2026-05-25", "observed_count": 30720, "null_count": 0, "target_0_count": 28171, "target_1_count": 2549, "observed_bad_rate": 0.08297526041666667, "label_coverage": 1.0, "label_status": "observed" }, { "dataset_flag": "2test", "total_count": 30657, "date_min": "2026-05-26", "date_max": "2026-06-12", "observed_count": 30657, "null_count": 0, "target_0_count": 28326, "target_1_count": 2331, "observed_bad_rate": 0.07603483706820628, "label_coverage": 1.0, "label_status": "observed" }, { "dataset_flag": "3oot", "total_count": 30760, "date_min": "2026-06-13", "date_max": "2026-06-30", "observed_count": 30760, "null_count": 0, "target_0_count": 28280, "target_1_count": 2480, "observed_bad_rate": 0.08062418725617686, "label_coverage": 1.0, "label_status": "observed" }, { "dataset_flag": "4_oot_undue", "total_count": 48744, "date_min": "2026-07-01", "date_max": "2026-07-31", "observed_count": 0, "null_count": 48744, "target_0_count": 0, "target_1_count": 0, "observed_bad_rate": null, "label_coverage": 0.0, "label_status": "unobserved" } ], "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。" } }, "reference_row_count": 215374, "feature_example": { "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）" } }, "unavailable": "July 是原始比赛测试来源；模拟日期的差异不能解释成真实时间漂移。" }