MARS Data Profile

FeatureMetadata

feature	display_name	dtype	data_source	description	unit
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	Identification if loan is cash or revolving	未公开
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	Gender of the client	未公开
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	Flag if the client owns a car	未公开
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	Flag if client owns a house or flat	未公开
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	Number of children the client has	次数或人数（按官方定义）
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	Income of the client	原始金额单位（币种未公开）
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	Loan annuity	原始金额单位（币种未公开）
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	For consumer loans it is the price of the goods for which the loan is given	原始金额单位（币种未公开）
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	Who was accompanying client when he was applying for the loan	未公开
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	Clients income type (businessman, working, maternity leave,…)	未公开
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	Level of highest education the client achieved	未公开
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	Family status of the client	未公开
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	What is the housing situation of the client (renting, living with parents, ...)	未公开
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	Normalized population of region where client lives (higher number means the client lives in more populated region)	归一化值（无量纲）
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	Client's age in days at the time of application	天（相对申请日，保留原始符号）
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	How many days before the application the person started current employment	天（相对申请日，保留原始符号）
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	How many days before the application did client change his registration	天（相对申请日，保留原始符号）
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	How many days before the application did client change the identity document with which he applied for the loan	天（相对申请日，保留原始符号）
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	Age of client's car	未公开
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide mobile phone (1=YES, 0=NO)	未公开
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide work phone (1=YES, 0=NO)	未公开
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide home phone (1=YES, 0=NO)	未公开
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	Was mobile phone reachable (1=YES, 0=NO)	未公开
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide home phone (1=YES, 0=NO)	未公开
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide email (1=YES, 0=NO)	未公开
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	What kind of occupation does the client have	未公开
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	How many family members does client have	次数或人数（按官方定义）
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	Our rating of the region where client lives (1,2,3)	未公开
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	Our rating of the region where client lives with taking city into account (1,2,3)	未公开
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	On which day of the week did the client apply for the loan	未公开
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	Approximately at what hour did the client apply for the loan	未公开
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's permanent address does not match contact address (1=different, 0=same, at region level)	未公开
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's permanent address does not match work address (1=different, 0=same, at region level)	未公开
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's contact address does not match work address (1=different, 0=same, at region level)	未公开
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's permanent address does not match contact address (1=different, 0=same, at city level)	未公开
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's permanent address does not match work address (1=different, 0=same, at city level)	未公开
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	Flag if client's contact address does not match work address (1=different, 0=same, at city level)	未公开
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	Type of organization where client works	未公开
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	Normalized score from external data source	归一化值（无量纲）
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	Normalized score from external data source	归一化值（无量纲）
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	Normalized score from external data source	归一化值（无量纲）
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	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	归一化值（无量纲）
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	How many observation of client's social surroundings with observable 30 DPD (days past due) default	次数或人数（按官方定义）
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	How many observation of client's social surroundings defaulted on 30 DPD (days past due)	次数或人数（按官方定义）
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	How many observation of client's social surroundings with observable 60 DPD (days past due) default	次数或人数（按官方定义）
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	How many observation of client's social surroundings defaulted on 60 (days past due) DPD	次数或人数（按官方定义）
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	How many days before application did client change phone	天（相对申请日，保留原始符号）
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 2	未公开
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 3	未公开
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 4	未公开
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 5	未公开
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 6	未公开
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 7	未公开
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 8	未公开
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 9	未公开
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 10	未公开
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 11	未公开
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 12	未公开
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 13	未公开
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 14	未公开
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 15	未公开
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 16	未公开
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 17	未公开
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 18	未公开
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 19	未公开
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 20	未公开
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	Did client provide document 21	未公开
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client one hour before application	次数或人数（按官方定义）
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client one day before application (excluding one hour before application)	次数或人数（按官方定义）
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client one week before application (excluding one day before application)	次数或人数（按官方定义）
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client one month before application (excluding one week before application)	次数或人数（按官方定义）
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client 3 month before application (excluding one month before application)	次数或人数（按官方定义）
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	Number of enquiries to Credit Bureau about the client one day year (excluding last 3 months before application)	次数或人数（按官方定义）

BusinessContext

key	value	part	parts
label_definition	"unknown"	1	1
observation_window	"unknown"	1	1
currency	"unknown"	1	1
dataset_id	"home-credit-default-risk-2018"	1	1
source	"https://www.kaggle.com/competitions/home-credit-default-risk/data"	1	1
real_features	{"source":"application_train.csv/application_test.csv","simulated":false,"derived_features_added":false}	1	1
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"}	1	1
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。"}	1	1
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"}	1	1
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}	1	1
weights	null	1	1
sample_scope	"两个 application 文件的全部样本"	1	1
preparation_version	"home-credit-2018-v1"	1	1
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。"}}	1	1
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"}}	1	1

ReportSemantics

key	value	part	parts
report_type	"MarsProfileReport"	1	1
report_id	"5d00f397-1768-44b0-9306-cd2531e7e9a6"	1	1
format_version	1	1	1
source	{"kind":"analysis","producer":"mars","input_provenance":"caller_provided_dataframe"}	1	1
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"}	1	1
serialization	{"non_finite":"tagged float: {$mars: float, value: nan/inf/-inf}","date":"ISO-8601","null":"missing; calculation state is separate"}	1	1
tables	{"overview":{"rows":119,"index":null,"grain":"feature","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"},"missing_rate":{"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"},"zeros_rate":{"dtype":"Float64","unit":"ratio","meaning":"原始零值数/全样本数，非数值字段为 0"},"mean":{"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"}}},"calculation_status":{"rows":16,"index":null,"grain":"target/feature/group/metric","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"},"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"}}}}	1	1
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"}	1	1
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":[]}	1	1
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。"]	1	1

overview

feature	display_name	dtype	data_source	missing_rate	zeros_rate	mean
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	0.01%	0.00%	27425.56
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	0.08%	0.00%	528020.00
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	170116.06
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	86.21%	0.01
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	86.17%	0.01
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	74.27%	0.23
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	67.08%	0.30
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	84.22%	0.03
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	13.35%	23.20%	1.91
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	50.51%	0.24%	0.12
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	50.51%	0.25%	0.12
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	50.51%	0.32%	0.11
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	58.27%	4.77%	0.09
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	58.27%	4.85%	0.09
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	58.27%	5.38%	0.09
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	2.15
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	69.71%	2.76%	0.05
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	69.71%	2.84%	0.04
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	69.71%	3.17%	0.04
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	12.20%	-978.58
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.03%	-4983.59
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.29%	88.28%	0.14
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.29%	91.32%	0.10
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	53.07%	27.84%	0.08
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	53.07%	28.28%	0.08
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	53.07%	29.10%	0.08
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	50.08%	0.10%	0.15
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	50.08%	0.10%	0.15
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	50.08%	0.12%	0.15
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	54.43%	0.00%	0.50
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	0.19%	0.00%	0.51
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	19.55%	0.00%	0.51
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	49.50%	0.94%	0.23
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	49.50%	0.96%	0.23
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	49.50%	1.10%	0.22
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	67.68%	0.76%	0.23
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	67.68%	0.77%	0.23
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	67.68%	0.83%	0.23
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	59.18%	5.12%	0.07
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	59.18%	5.23%	0.07
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	59.18%	5.73%	0.07
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	68.20%	0.13%	0.10
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	68.20%	0.13%	0.10
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	68.20%	0.16%	0.11
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	49.94%	0.09%	0.11
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	49.94%	0.10%	0.11
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	49.94%	0.14%	0.11
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	69.29%	17.79%	0.01
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	69.29%	18.31%	0.01
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	69.29%	19.34%	0.01
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	54.95%	19.14%	0.03
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	54.95%	19.88%	0.03
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	54.95%	21.91%	0.03
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.29%	53.31%	1.43
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.29%	53.56%	1.41
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	66.03%	0.63%	12.02
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.02
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	48.01%	0.18%	0.10
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	48.52%	0.16%	0.98
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	48.52%	0.17%	0.98
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	48.52%	0.06%	0.98
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	66.33%	0.03%	0.75
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	66.33%	0.03%	0.76
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	66.33%	0.03%	0.76
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	70.19%	0.41
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	-16041.25
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	64317.23
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.01%	-3002.07
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.18%	1.00
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	100.00%	0.00
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.65%	0.00
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	100.00%	0.00
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.70%	0.00
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.75%	0.00
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.90%	0.00
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.14%	0.01
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.98%	0.00
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.28%	0.01
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.95%	0.00
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	100.00%	0.00
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.96%	0.00
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.97%	0.00
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	27.95%	0.72
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.99%	0.00
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	98.49%	0.02
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	91.20%	0.09
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.98%	0.00
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	91.77%	0.08
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	99.60%	0.00
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	92.88%	0.07
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	18.15%	0.82
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	1.00
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	72.14%	0.28
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	79.99%	0.20
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.01%	12.06
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	82.12%	0.18
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	95.92%	0.04
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	2.05
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	2.03
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	92.19%	0.08
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	77.03%	0.23
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	98.44%	0.02
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	94.86%	0.05
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	47.15%	0.00%	—
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	68.24%	0.00%	—
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	49.94%	0.00%	—
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	0.62%	0.00%	—
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	31.44%	0.00%	—
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	50.59%	0.00%	—
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	—

dq.missing

feature	display_name	dtype	data_source	0train	1val	2test	3oot	4_oot_undue	total
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.01%	0.00%	0.01%	0.05%	0.01%
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	0.09%	0.10%	0.08%	0.10%	0.00%	0.08%
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	13.61%	13.16%	13.42%	13.16%	12.41%	13.35%
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	50.74%	50.76%	51.09%	50.47%	49.01%	50.51%
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	50.74%	50.76%	51.09%	50.47%	49.01%	50.51%
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	50.74%	50.76%	51.09%	50.47%	49.01%	50.51%
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	58.52%	58.31%	58.94%	58.30%	56.71%	58.27%
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	58.52%	58.31%	58.94%	58.30%	56.71%	58.27%
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	58.52%	58.31%	58.94%	58.30%	56.71%	58.27%
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	69.87%	69.61%	70.30%	69.76%	68.72%	69.71%
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	69.87%	69.61%	70.30%	69.76%	68.72%	69.71%
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	69.87%	69.61%	70.30%	69.76%	68.72%	69.71%
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.32%	0.38%	0.38%	0.31%	0.06%	0.29%
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.32%	0.38%	0.38%	0.31%	0.06%	0.29%
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	53.31%	53.38%	53.56%	52.89%	51.68%	53.07%
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	53.31%	53.38%	53.56%	52.89%	51.68%	53.07%
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	53.31%	53.38%	53.56%	52.89%	51.68%	53.07%
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	50.36%	50.25%	50.77%	49.98%	48.37%	50.08%
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	50.36%	50.25%	50.77%	49.98%	48.37%	50.08%
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	50.36%	50.25%	50.77%	49.98%	48.37%	50.08%
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	56.34%	56.92%	56.21%	56.28%	42.12%	54.43%
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	0.21%	0.21%	0.20%	0.28%	0.02%	0.19%
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	19.95%	19.46%	19.79%	19.38%	17.78%	19.55%
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	49.76%	49.72%	50.11%	49.43%	47.84%	49.50%
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	49.76%	49.72%	50.11%	49.43%	47.84%	49.50%
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	49.76%	49.72%	50.11%	49.43%	47.84%	49.50%
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	67.83%	67.52%	68.33%	67.83%	66.61%	67.68%
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	67.83%	67.52%	68.33%	67.83%	66.61%	67.68%
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	67.83%	67.52%	68.33%	67.83%	66.61%	67.68%
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	59.38%	59.20%	59.81%	59.11%	57.96%	59.18%
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	59.38%	59.20%	59.81%	59.11%	57.96%	59.18%
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	59.38%	59.20%	59.81%	59.11%	57.96%	59.18%
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	68.36%	68.04%	68.63%	68.35%	67.25%	68.20%
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	68.36%	68.04%	68.63%	68.35%	67.25%	68.20%
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	68.36%	68.04%	68.63%	68.35%	67.25%	68.20%
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	50.19%	50.17%	50.51%	49.93%	48.32%	49.94%
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	50.19%	50.17%	50.51%	49.93%	48.32%	49.94%
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	50.19%	50.17%	50.51%	49.93%	48.32%	49.94%
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	69.45%	69.19%	69.63%	69.39%	68.41%	69.29%
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	69.45%	69.19%	69.63%	69.39%	68.41%	69.29%
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	69.45%	69.19%	69.63%	69.39%	68.41%	69.29%
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	55.20%	55.01%	55.57%	54.82%	53.51%	54.95%
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	55.20%	55.01%	55.57%	54.82%	53.51%	54.95%
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	55.20%	55.01%	55.57%	54.82%	53.51%	54.95%
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.32%	0.38%	0.38%	0.31%	0.06%	0.29%
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.32%	0.38%	0.38%	0.31%	0.06%	0.29%
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	65.90%	66.12%	66.24%	66.26%	66.29%	66.03%
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	48.27%	48.25%	48.61%	47.95%	46.41%	48.01%
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	48.80%	48.72%	49.07%	48.44%	46.89%	48.52%
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	48.80%	48.72%	49.07%	48.44%	46.89%	48.52%
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	48.80%	48.72%	49.07%	48.44%	46.89%	48.52%
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	66.49%	66.13%	66.89%	66.52%	65.28%	66.33%
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	66.49%	66.13%	66.89%	66.52%	65.28%	66.33%
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	66.49%	66.13%	66.89%	66.52%	65.28%	66.33%
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	47.39%	47.40%	47.68%	47.18%	45.56%	47.15%
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	68.42%	67.89%	68.77%	68.27%	67.28%	68.24%
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	50.18%	50.16%	50.51%	49.83%	48.46%	49.94%
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	0.42%	0.40%	0.41%	0.44%	1.87%	0.62%
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	31.37%	31.73%	31.00%	31.14%	32.01%	31.44%
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	50.85%	50.72%	51.27%	50.46%	49.02%	50.59%
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%

dq.zeros

feature	display_name	dtype	data_source	0train	1val	2test	3oot	4_oot_undue	total
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	85.91%	86.36%	86.07%	86.36%	87.45%	86.21%
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	85.86%	86.33%	86.01%	86.30%	87.41%	86.17%
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	72.22%	72.67%	71.85%	72.61%	86.86%	74.27%
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	69.91%	70.38%	70.18%	70.58%	48.33%	67.08%
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	83.63%	83.97%	83.72%	84.14%	87.35%	84.22%
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	23.36%	23.24%	23.57%	23.15%	22.24%	23.20%
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.24%	0.23%	0.27%	0.25%	0.25%	0.24%
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.25%	0.23%	0.28%	0.26%	0.25%	0.25%
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.31%	0.30%	0.35%	0.32%	0.30%	0.32%
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	4.83%	4.67%	4.78%	4.68%	4.60%	4.77%
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	4.91%	4.73%	4.84%	4.79%	4.68%	4.85%
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	5.43%	5.19%	5.40%	5.39%	5.25%	5.38%
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	2.74%	2.77%	2.78%	2.72%	2.82%	2.76%
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	2.82%	2.88%	2.84%	2.81%	2.92%	2.84%
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	3.14%	3.15%	3.23%	3.13%	3.29%	3.17%
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	12.22%	12.34%	12.31%	12.34%	11.90%	12.20%
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.03%	0.03%	0.02%	0.03%	0.03%	0.03%
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	88.24%	88.35%	88.15%	88.17%	88.62%	88.28%
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	91.28%	91.32%	91.32%	91.29%	91.53%	91.32%
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	27.91%	27.67%	27.87%	27.83%	27.63%	27.84%
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	28.33%	28.08%	28.34%	28.28%	28.18%	28.28%
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	29.12%	28.87%	29.18%	29.12%	29.07%	29.10%
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.11%	0.07%	0.11%	0.09%	0.08%	0.10%
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.11%	0.07%	0.12%	0.09%	0.08%	0.10%
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.13%	0.09%	0.13%	0.12%	0.11%	0.12%
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.96%	0.86%	0.97%	1.00%	0.86%	0.94%
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.98%	0.87%	1.00%	1.02%	0.87%	0.96%
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	1.11%	1.00%	1.21%	1.16%	1.05%	1.10%
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.76%	0.77%	0.80%	0.69%	0.80%	0.76%
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.77%	0.77%	0.81%	0.71%	0.81%	0.77%
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.82%	0.84%	0.84%	0.76%	0.88%	0.83%
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	5.07%	5.15%	5.02%	5.04%	5.45%	5.12%
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	5.18%	5.27%	5.12%	5.15%	5.56%	5.23%
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	5.68%	5.71%	5.59%	5.70%	6.10%	5.73%
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.13%	0.14%	0.15%	0.17%	0.09%	0.13%
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.14%	0.14%	0.15%	0.17%	0.10%	0.13%
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.16%	0.16%	0.20%	0.20%	0.14%	0.16%
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.09%	0.09%	0.11%	0.09%	0.09%	0.09%
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.10%	0.09%	0.11%	0.09%	0.10%	0.10%
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.14%	0.14%	0.16%	0.14%	0.14%	0.14%
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	17.76%	17.87%	17.69%	17.51%	18.08%	17.79%
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	18.25%	18.40%	18.21%	18.04%	18.70%	18.31%
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	19.27%	19.37%	19.23%	19.23%	19.77%	19.34%
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	19.10%	19.19%	18.95%	19.15%	19.43%	19.14%
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	19.81%	19.93%	19.71%	19.91%	20.24%	19.88%
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	21.82%	21.80%	21.68%	22.06%	22.41%	21.91%
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	53.32%	53.31%	53.05%	53.40%	53.39%	53.31%
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	53.57%	53.54%	53.35%	53.63%	53.63%	53.56%
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	0.70%	0.69%	0.68%	0.69%	0.24%	0.63%
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.18%	0.20%	0.25%	0.17%	0.15%	0.18%
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.16%	0.16%	0.20%	0.19%	0.12%	0.16%
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.17%	0.16%	0.21%	0.20%	0.13%	0.17%
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.04%	0.06%	0.06%	0.05%	0.16%	0.06%
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.04%	0.02%	0.02%	0.04%	0.04%	0.03%
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.04%	0.02%	0.02%	0.04%	0.04%	0.03%
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.04%	0.03%	0.02%	0.04%	0.03%	0.03%
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	69.99%	70.14%	69.95%	70.35%	71.16%	70.19%
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.01%	0.00%	0.01%	0.00%	0.01%	0.01%
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	0.18%	0.20%	0.20%	0.21%	0.16%	0.18%
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	99.61%	99.63%	99.65%	99.54%	99.88%	99.65%
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	99.64%	99.69%	99.67%	99.65%	100.00%	99.70%
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	99.72%	99.75%	99.63%	99.66%	100.00%	99.75%
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	99.88%	99.88%	99.88%	99.91%	100.00%	99.90%
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	99.00%	99.02%	99.06%	99.03%	100.00%	99.14%
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	99.98%	99.97%	99.97%	99.97%	100.00%	99.98%
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	99.18%	99.26%	99.18%	99.18%	99.84%	99.28%
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	99.94%	99.95%	99.93%	99.93%	100.00%	99.95%
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	99.99%	100.00%	100.00%	100.00%	100.00%	100.00%
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	99.95%	99.92%	99.96%	99.94%	100.00%	99.96%
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	99.96%	99.97%	99.97%	99.97%	100.00%	99.97%
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	29.02%	29.22%	28.35%	29.29%	21.34%	27.95%
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	99.99%	99.99%	99.99%	100.00%	99.99%	99.99%
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	98.51%	98.37%	98.37%	98.59%	98.52%	98.49%
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	91.16%	91.16%	91.34%	91.29%	91.25%	91.20%
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	99.98%	99.98%	99.96%	99.98%	100.00%	99.98%
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	91.87%	91.74%	92.40%	91.43%	91.15%	91.77%
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	99.60%	99.63%	99.62%	99.64%	99.55%	99.60%
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	94.31%	94.40%	94.24%	94.44%	83.74%	92.88%
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	17.97%	18.26%	18.04%	18.00%	19.03%	18.15%
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	71.88%	71.98%	71.90%	71.91%	73.69%	72.14%
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	80.05%	79.91%	80.16%	80.18%	79.53%	79.99%
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	0.01%	0.01%	0.03%	0.02%	0.02%	0.01%
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	82.05%	81.84%	82.16%	82.06%	82.58%	82.12%
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	95.93%	95.76%	96.21%	95.89%	95.80%	95.92%
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	92.19%	92.25%	92.11%	92.16%	92.25%	92.19%
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	76.99%	76.79%	76.82%	77.03%	77.53%	77.03%
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	98.47%	98.57%	98.42%	98.55%	98.12%	98.44%
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	94.91%	94.86%	95.12%	94.87%	94.48%	94.86%
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%

stats.mean

feature	display_name	dtype	data_source	0train	1val	2test	3oot	4_oot_undue	total
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	27110.46	27095.30	27118.30	27098.93	29426.24	27425.56
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	538191.70	538486.89	537796.83	540335.13	462618.84	528020.00
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	168930.44	168170.84	169114.12	168181.14	178431.81	170116.06
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.00	0.01
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.00	0.01
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	0.27	0.27	0.27	0.27	0.01	0.23
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	0.27	0.26	0.26	0.26	0.55	0.30
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	0.03	0.04	0.03	0.03	0.00	0.03
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	1.90	1.89	1.90	1.90	1.98	1.91
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.12	0.12	0.12	0.12	0.12	0.12
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.12	0.12	0.12	0.12	0.12	0.12
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.11	0.12	0.12	0.11	0.12	0.11
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.09	0.09	0.09	0.09	0.09	0.09
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.09	0.09	0.09	0.09	0.09	0.09
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.09	0.09	0.09	0.09	0.09	0.09
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	2.15	2.15	2.15	2.15	2.15	2.15
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.04	0.05	0.04	0.04	0.05	0.05
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.04	0.05	0.04	0.04	0.05	0.04
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.04	0.04	0.04	0.04	0.05	0.04
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	-961.32	-968.73	-961.87	-968.78	-1077.77	-978.58
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	-4982.69	-5015.35	-4980.16	-4986.90	-4967.65	-4983.59
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.14	0.14	0.14	0.14	0.14	0.14
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.10	0.10	0.10	0.10	0.10	0.10
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.08	0.08	0.08	0.08	0.09	0.08
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.08	0.08	0.08	0.08	0.08	0.08
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.07	0.08	0.08	0.07	0.08	0.08
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.15	0.15	0.15	0.15	0.15	0.15
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.15	0.15	0.15	0.15	0.15	0.15
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.14	0.15	0.15	0.15	0.15	0.15
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	0.50	0.50	0.50	0.50	0.50	0.50
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	0.51	0.52	0.51	0.51	0.52	0.51
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	0.51	0.51	0.51	0.51	0.50	0.51
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.22	0.23	0.23	0.23
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.22	0.23	0.23	0.23
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.22	0.22	0.22	0.22	0.23	0.22
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.23	0.23	0.24	0.23
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.23	0.23	0.24	0.23
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.23	0.23	0.23	0.23
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.07	0.07	0.07	0.07	0.07	0.07
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.07	0.07	0.07	0.07	0.07	0.07
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.06	0.06	0.07	0.07	0.07	0.07
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.10	0.10	0.10	0.10	0.11	0.10
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.10	0.10	0.10	0.10	0.11	0.10
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.11	0.11	0.11	0.11	0.11	0.11
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.11	0.11	0.11	0.11	0.11	0.11
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.11	0.11	0.11	0.11	0.11	0.11
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.11	0.11	0.11	0.11	0.11	0.11
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.01	0.01
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.01	0.01
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.01	0.01
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.03	0.03	0.03	0.03	0.03	0.03
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.03	0.03	0.03	0.03	0.03	0.03
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.03	0.03	0.03	0.03	0.03	0.03
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	1.42	1.42	1.43	1.42	1.45	1.43
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	1.40	1.41	1.42	1.40	1.44	1.41
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	12.06	12.11	11.85	12.24	11.79	12.02
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	0.02	0.02	0.02	0.02	0.02	0.02
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.10	0.10	0.10	0.10	0.11	0.10
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.98	0.98	0.98	0.98	0.98	0.98
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.98	0.98	0.98	0.98	0.98	0.98
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.98	0.98	0.98	0.98	0.98	0.98
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.75	0.75	0.75	0.75	0.75	0.75
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.76	0.76	0.76	0.76	0.75	0.76
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.76	0.76	0.76	0.76	0.76	0.76
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	0.42	0.41	0.42	0.41	0.40	0.41
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	-16033.19	-16069.68	-16023.26	-16044.71	-16068.08	-16041.25
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	63680.74	64695.42	63909.64	63781.89	67485.37	64317.23
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	-2994.99	-2988.77	-2992.92	-2995.38	-3051.71	-3002.07
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	1.00	1.00	1.00	1.00	1.00	1.00
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.00	0.01
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	0.01	0.01	0.01	0.01	0.00	0.01
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	0.71	0.71	0.72	0.71	0.79	0.72
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	0.01	0.02	0.02	0.01	0.01	0.02
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	0.09	0.09	0.09	0.09	0.09	0.09
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	0.08	0.08	0.08	0.09	0.09	0.08
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00	0.00	0.00	0.00	0.00
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	0.06	0.06	0.06	0.06	0.16	0.07
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.82	0.82	0.82	0.82	0.81	0.82
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	1.00	1.00	1.00	1.00	1.00	1.00
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.28	0.28	0.28	0.28	0.26	0.28
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	0.20	0.20	0.20	0.20	0.20	0.20
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	12.07	12.09	12.03	12.05	12.01	12.06
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.18	0.18	0.18	0.18	0.17	0.18
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.04	0.04	0.04	0.04	0.04	0.04
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	2.05	2.05	2.06	2.06	2.04	2.05
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	2.03	2.03	2.04	2.04	2.01	2.03
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.08	0.08	0.08	0.08	0.08	0.08
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.23	0.23	0.23	0.23	0.22	0.23
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.02	0.01	0.02	0.01	0.02	0.02
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.05	0.05	0.05	0.05	0.06	0.05
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	—	—	—	—	—	—

stats.psi

feature	display_name	dtype	data_source	4_oot_undue	total
AMT_ANNUITY	贷款年金	Float64	Home Credit 2018 application_{train\|test}.csv	0.03	0.00
AMT_GOODS_PRICE	贷款对应商品价格	Float64	Home Credit 2018 application_{train\|test}.csv	0.08	0.00
AMT_INCOME_TOTAL	客户收入	Float64	Home Credit 2018 application_{train\|test}.csv	0.02	0.00
AMT_REQ_CREDIT_BUREAU_DAY	申请前一天征信查询次数（不含前一小时）	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
AMT_REQ_CREDIT_BUREAU_HOUR	申请前一小时征信查询次数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
AMT_REQ_CREDIT_BUREAU_MON	申请前一个月征信查询次数（不含前一周）	Float64	Home Credit 2018 application_{train\|test}.csv	0.49	0.00
AMT_REQ_CREDIT_BUREAU_QRT	申请前三个月征信查询次数（不含前一个月）	Float64	Home Credit 2018 application_{train\|test}.csv	0.32	0.01
AMT_REQ_CREDIT_BUREAU_WEEK	申请前一周征信查询次数（不含前一天）	Float64	Home Credit 2018 application_{train\|test}.csv	0.07	0.00
AMT_REQ_CREDIT_BUREAU_YEAR	申请前一年征信查询次数（官方说明原文有歧义）	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
APARTMENTS_AVG	建筑公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
APARTMENTS_MEDI	建筑公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
APARTMENTS_MODE	建筑公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
BASEMENTAREA_AVG	地下室面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
BASEMENTAREA_MEDI	地下室面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
BASEMENTAREA_MODE	地下室面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
CNT_CHILDREN	子女人数	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
CNT_FAM_MEMBERS	家庭成员人数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
COMMONAREA_AVG	公共区域面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
COMMONAREA_MEDI	公共区域面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
COMMONAREA_MODE	公共区域面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
DAYS_BIRTH	申请时年龄天数（原始值）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
DAYS_EMPLOYED	开始当前工作相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
DAYS_ID_PUBLISH	变更身份证件相对申请的天数	Int64	Home Credit 2018 application_{train\|test}.csv	0.07	0.00
DAYS_LAST_PHONE_CHANGE	更换电话相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.07	0.00
DAYS_REGISTRATION	变更登记相对申请的天数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
DEF_30_CNT_SOCIAL_CIRCLE	社交圈发生 30 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
DEF_60_CNT_SOCIAL_CIRCLE	社交圈发生 60 天逾期的记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ELEVATORS_AVG	电梯数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ELEVATORS_MEDI	电梯数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ELEVATORS_MODE	电梯数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ENTRANCES_AVG	入口数量归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ENTRANCES_MEDI	入口数量归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ENTRANCES_MODE	入口数量归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
EXT_SOURCE_1	外部来源分 1	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
EXT_SOURCE_2	外部来源分 2	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
EXT_SOURCE_3	外部来源分 3	Float64	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
FLAG_CONT_MOBILE	手机是否可联系	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_10	是否提供文件 10	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_11	是否提供文件 11	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_12	是否提供文件 12	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_13	是否提供文件 13	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_14	是否提供文件 14	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_15	是否提供文件 15	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_16	是否提供文件 16	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_17	是否提供文件 17	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_18	是否提供文件 18	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_19	是否提供文件 19	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_2	是否提供文件 2	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_20	是否提供文件 20	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_21	是否提供文件 21	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_3	是否提供文件 3	Int64	Home Credit 2018 application_{train\|test}.csv	0.03	0.00
FLAG_DOCUMENT_4	是否提供文件 4	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_5	是否提供文件 5	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_6	是否提供文件 6	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_DOCUMENT_7	是否提供文件 7	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_DOCUMENT_8	是否提供文件 8	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_DOCUMENT_9	是否提供文件 9	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_EMAIL	是否提供电子邮箱	Int64	Home Credit 2018 application_{train\|test}.csv	0.12	0.00
FLAG_EMP_PHONE	是否提供工作电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_MOBIL	是否提供手机号码	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_PHONE	是否提供家庭电话	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLAG_WORK_PHONE	是否提供家庭电话（官方字段说明）	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMAX_AVG	最高楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMAX_MEDI	最高楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMAX_MODE	最高楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMIN_AVG	最低楼层归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMIN_MEDI	最低楼层归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FLOORSMIN_MODE	最低楼层归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
HOUR_APPR_PROCESS_START	申请大致小时	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LANDAREA_AVG	土地面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LANDAREA_MEDI	土地面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LANDAREA_MODE	土地面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVE_CITY_NOT_WORK_CITY	联系与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVE_REGION_NOT_WORK_REGION	联系与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAPARTMENTS_AVG	居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAPARTMENTS_MEDI	居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAPARTMENTS_MODE	居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAREA_AVG	居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAREA_MEDI	居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
LIVINGAREA_MODE	居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	0.21	0.00
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAPARTMENTS_AVG	非居住公寓信息归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAPARTMENTS_MEDI	非居住公寓信息归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAPARTMENTS_MODE	非居住公寓信息归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAREA_AVG	非居住面积归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAREA_MEDI	非居住面积归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
NONLIVINGAREA_MODE	非居住面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
OBS_30_CNT_SOCIAL_CIRCLE	社交圈可观察的 30 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
OBS_60_CNT_SOCIAL_CIRCLE	社交圈可观察的 60 天逾期记录数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
OWN_CAR_AGE	汽车年龄	Float64	Home Credit 2018 application_{train\|test}.csv	0.05	0.00
REGION_POPULATION_RELATIVE	居住地区归一化人口规模	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
REGION_RATING_CLIENT	居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
REGION_RATING_CLIENT_W_CITY	考虑城市的居住地区评级	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
REG_CITY_NOT_LIVE_CITY	永久与联系地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
REG_CITY_NOT_WORK_CITY	永久与工作地址城市是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
REG_REGION_NOT_LIVE_REGION	永久与联系地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	-0.00
REG_REGION_NOT_WORK_REGION	永久与工作地址地区是否不同	Int64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
TOTALAREA_MODE	建筑总面积归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	0.01	0.00
YEARS_BEGINEXPLUATATION_AVG	建筑开始使用年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
YEARS_BEGINEXPLUATATION_MEDI	建筑开始使用年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
YEARS_BEGINEXPLUATATION_MODE	建筑开始使用年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
YEARS_BUILD_AVG	建筑建成年限归一化均值	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
YEARS_BUILD_MEDI	建筑建成年限归一化中位数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00
YEARS_BUILD_MODE	建筑建成年限归一化众数	Float64	Home Credit 2018 application_{train\|test}.csv	0.00	0.00

No calculated tables available.

calculation_status

feature	display_name	dtype	data_source	group	metric	status	reason
CODE_GENDER	客户性别	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
EMERGENCYSTATE_MODE	建筑状态信息众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
FLAG_OWN_CAR	是否拥有汽车	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
FLAG_OWN_REALTY	是否拥有住宅	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
FONDKAPREMONT_MODE	建筑信息 FONDKAPREMONT 众数（细项未公开）	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
HOUSETYPE_MODE	住房类型众数	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_CONTRACT_TYPE	贷款合同类型	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_EDUCATION_TYPE	最高教育程度	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_FAMILY_STATUS	家庭状态	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_HOUSING_TYPE	居住情况	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_INCOME_TYPE	收入类型	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
NAME_TYPE_SUITE	申请时陪同人员类型	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
OCCUPATION_TYPE	职业类型	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
ORGANIZATION_TYPE	工作单位类型	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
WALLSMATERIAL_MODE	墙体材料众数	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature
WEEKDAY_APPR_PROCESS_START	申请星期	String	Home Credit 2018 application_{train\|test}.csv	Total	mean	skipped	non_numeric_feature