Feature risk and stability analysis with source-aware tables, grouped bin comparisons, and native risk trend charts.
| feature | display_name | dtype | data_source | description | unit |
|---|---|---|---|---|---|
| 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) |
| 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) |
| 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) |
| 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) |
| 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_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_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) |
| 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 |
| 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_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) |
| 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) |
| 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":{"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)","positive_class":"unknown","negative_class":"unknown","performance_window":"X/Y 未公开;不推断 bad30/bad60","field":"TARGET","simulated":false,"available_in":"application_train.csv","unavailable_in":"application_test.csv","unobserved_value":null}} | 1 | 1 |
| key | value | part | parts |
|---|---|---|---|
| report_type | "MarsBinningReport" | 1 | 1 |
| report_id | "8b0d3d92-5d51-4afe-b8ae-69e7245f85c9" | 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 | {"summary":{"rows":20,"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"},"iv":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"ks":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"auc":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"psi_max":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数;跨有效分组最大值"},"rc_min":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数;跨有效分组最小值"},"lift_min":{"dtype":"Float64","unit":"dimensionless","meaning":"Total 正常箱 Lift 的最小值"},"lift_max":{"dtype":"Float64","unit":"dimensionless","meaning":"Total 正常箱 Lift 的最大值"},"missing":{"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"},"missing_min":{"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;跨有效分组最小值"},"missing_max":{"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;跨有效分组最大值"},"mono":{"dtype":"Float64","unit":"correlation","meaning":"Total 正常箱索引与坏率的 Spearman 相关系数;单箱或坏率恒定时无法定义"}}},"detail":{"rows":790,"index":null,"grain":"target/feature/group/bin","fields":{"y":{"dtype":"String","unit":"identifier","meaning":"目标列标识;真实目标及无标签状态见参数"},"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"},"trend":{"dtype":"String","unit":"category","meaning":"Total 正常箱 WOE 形态;无标签时未计算"},"mars_group":{"dtype":"String","unit":"dimension","meaning":"实际计算分组字段;取值保留原始分组标识"},"bin_index":{"dtype":"Int16","unit":"index","meaning":"分箱规则索引;缺失和特殊箱为负,汇总行由 bin_type 标识"},"bin_label":{"dtype":"String","unit":"category","meaning":"来自拟合分箱规则的箱标签"},"count":{"dtype":"Float64","unit":"count","meaning":"全样本数;配置 weights_col 时为样本权重和"},"observed_count":{"dtype":"Float64","unit":"count","meaning":"已表现标签样本数或权重和;无标签时未计算"},"bad":{"dtype":"Float64","unit":"count","meaning":"已表现坏样本数或权重和"},"good":{"dtype":"Float64","unit":"count","meaning":"observed_count-bad"},"pct":{"dtype":"Float64","unit":"ratio","meaning":"箱样本量/分组全样本量,配置权重时为权重和之比"},"bad_rate":{"dtype":"Float64","unit":"ratio","meaning":"坏人数/有表现人数;加权时为坏权重/有表现权重,见 parameters"},"lift":{"dtype":"Float64","unit":"dimensionless","meaning":"箱坏率/总体坏率,复用稳定化规则"},"cum_count":{"dtype":"Float64","unit":"count","meaning":"按分箱索引展示顺序的累计全样本量或权重和"},"cum_observed_count":{"dtype":"Float64","unit":"count","meaning":"按分箱索引展示顺序的累计已表现样本量或权重和"},"cum_bad":{"dtype":"Float64","unit":"count","meaning":"按分箱索引展示顺序的累计坏样本量或权重和"},"cum_bad_rate":{"dtype":"Float64","unit":"ratio","meaning":"累计 bad/累计 observed_count"},"psi_bin":{"dtype":"Float64","unit":"dimensionless","meaning":"当前箱 PSI 贡献;缺失箱和特殊箱由参数控制"},"ks_bin":{"dtype":"Float64","unit":"points_0_100","meaning":"当前箱累计坏样本与好样本分布绝对差 ×100"},"auc_bin":{"dtype":"Float64","unit":"ratio","meaning":"分箱 ROC 梯形面积贡献;汇总行进行 AUC 归一"},"iv_bin":{"dtype":"Float32","unit":"dimensionless","meaning":"(bad_dist-good_dist)×WOE"},"total_count":{"dtype":"Float64","unit":"count","meaning":"分组全样本数或权重和"},"bin_type":{"dtype":"String","unit":"category","meaning":"正常、缺失、特殊或汇总箱类型"},"tot_amt":{"dtype":"Float64","unit":"unknown_business_unit","meaning":"全样本金金额和;业务币种未知"},"good_amt":{"dtype":"Float64","unit":"unknown_business_unit","meaning":"好样本金金额和;业务币种未知"},"bad_amt":{"dtype":"Float64","unit":"unknown_business_unit","meaning":"坏样本金金额和;业务币种未知"},"avg_amt":{"dtype":"Float64","unit":"unknown_business_unit","meaning":"tot_amt/count;配置样本权重时 count 为权重和;业务币种未知"},"amt_bad_rate":{"dtype":"Float64","unit":"ratio","meaning":"bad_amt/observed_amt;未表现金额不计入分母,分母非正时为空"},"lift_amt":{"dtype":"Float64","unit":"dimensionless","meaning":"箱金额坏率/总体金额坏率,复用稳定化规则"}}},"trend.psi":{"rows":20,"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"},"202601":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202602":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202603":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202604":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202605":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202606":{"dtype":"Float64","unit":"dimensionless","meaning":"各箱 (actual-expected)×ln(actual/expected) 之和;参考及箱范围见参数"},"202607":{"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"}},"target":"TARGET"},"trend.auc":{"rows":20,"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"},"202601":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202602":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202603":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202604":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202605":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202606":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"202607":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"},"Total":{"dtype":"Float64","unit":"ratio","meaning":"按配置排序的分箱 ROC 梯形面积;报告归一到不小于 0.5"}},"target":"TARGET"},"trend.ks":{"rows":20,"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"},"202601":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202602":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202603":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202604":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202605":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202606":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"202607":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"},"Total":{"dtype":"Float64","unit":"points_0_100","meaning":"按实际配置排序的分箱累计坏样本与好样本分布最大绝对差 ×100"}},"target":"TARGET"},"trend.iv":{"rows":20,"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"},"202601":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202602":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202603":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202604":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202605":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202606":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"202607":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"},"Total":{"dtype":"Float32","unit":"dimensionless","meaning":"各箱 (bad_dist-good_dist)×WOE 之和,复用稳定化规则"}},"target":"TARGET"},"trend.missing":{"rows":20,"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"},"202601":{"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"},"202602":{"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"},"202603":{"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"},"202604":{"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"},"202605":{"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"},"202606":{"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"},"202607":{"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"}},"target":"TARGET"},"trend.lift":{"rows":20,"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"},"202601":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202602":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202603":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202604":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202605":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202606":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"202607":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"},"Total":{"dtype":"Float64","unit":"dimensionless","meaning":"当前分组箱 Lift 的最大值;未表现分组为空"}},"target":"TARGET"},"trend.risk_corr":{"rows":20,"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"},"202601":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202602":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202603":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202604":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202605":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202606":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"202607":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"},"Total":{"dtype":"Float64","unit":"correlation","meaning":"正常箱坏率与 RC 参考坏率的 Spearman 相关系数,参考来源见参数"}},"target":"TARGET"},"calculation_status":{"rows":180,"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"},"target":{"dtype":"String","unit":"identifier","meaning":"真实目标列标识"},"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"}}},"missing_by_day":{"rows":20,"index":null,"grain":"feature (days 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"},"2026-01-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-18":{"dtype":"Float64","unit":"ratio","m | 1 | 3 |
| tables | eaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-01-31":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-02-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-03-31":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-04-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-05-31":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺 | 2 | 3 |
| tables | 失值;不使用样本权重,total 为全量比例"},"2026-06-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-06-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-01":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-02":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-03":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-04":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-05":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-06":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-07":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-08":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-09":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-10":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-11":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-12":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-13":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-14":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-15":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-16":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-17":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-18":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-19":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-20":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-21":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-22":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-23":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-24":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-25":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-26":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-27":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-28":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-29":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-30":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"2026-07-31":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"},"total":{"dtype":"Float64","unit":"ratio","meaning":"自然日原始缺失值数/当日样本数,含 Null、NaN 和配置缺失值;不使用样本权重,total 为全量比例"}}},"risk_corr_reference":{"rows":70,"index":null,"grain":"target/feature/bin/reference","fields":{"y":{"dtype":"String","unit":"identifier","meaning":"目标列标识;真实目标及无标签状态见参数"},"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"},"bin_index":{"dtype":"Int16","unit":"index","meaning":"分箱规则索引;缺失和特殊箱为负,汇总行由 bin_type 标识"},"base_br":{"dtype":"Float64","unit":"ratio","meaning":"RC 参考箱的 bad/observed_count"},"source":{"dtype":"String","unit":"category","meaning":"已保存的参考来源,例如 total、first_group 或 benchmark_df"}}}} | 3 | 3 |
| 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 | {"row_count":356255,"benchmark_row_count":215374,"binning_fit_source":"explicit_binner","features":["EXT_SOURCE_2","EXT_SOURCE_3","EXT_SOURCE_1","AMT_INCOME_TOTAL","DAYS_BIRTH","DAYS_EMPLOYED","AMT_ANNUITY","AMT_GOODS_PRICE","NAME_INCOME_TYPE","NAME_EDUCATION_TYPE","NAME_CONTRACT_TYPE","CODE_GENDER","FLAG_OWN_CAR","FLAG_OWN_REALTY","CNT_CHILDREN","OCCUPATION_TYPE","REGION_POPULATION_RELATIVE","DAYS_REGISTRATION","DAYS_ID_PUBLISH","CNT_FAM_MEMBERS"],"weights_col":null,"batch_size":100,"ordered_metric_sort_by":"woe","binning_config":{"cart_params":{},"join_threshold":100,"merge_small_bins":false,"method":"quantile","min_bin_size":0.05,"missing_values":[],"n_bins":4,"n_jobs":1,"remove_empty_bins":false,"special_values":[]},"fit_failures":{},"binning_fit_report":[{"feature":"NAME_CONTRACT_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"CODE_GENDER","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"FLAG_OWN_CAR","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_OWN_REALTY","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"CNT_CHILDREN","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"AMT_INCOME_TOTAL","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"AMT_ANNUITY","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"AMT_GOODS_PRICE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NAME_TYPE_SUITE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NAME_INCOME_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NAME_EDUCATION_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NAME_FAMILY_STATUS","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NAME_HOUSING_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"REGION_POPULATION_RELATIVE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"DAYS_BIRTH","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"DAYS_EMPLOYED","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"DAYS_REGISTRATION","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"DAYS_ID_PUBLISH","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"OWN_CAR_AGE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FLAG_MOBIL","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_EMP_PHONE","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_WORK_PHONE","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_CONT_MOBILE","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_PHONE","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_EMAIL","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"OCCUPATION_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"CNT_FAM_MEMBERS","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"REGION_RATING_CLIENT","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"REGION_RATING_CLIENT_W_CITY","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"WEEKDAY_APPR_PROCESS_START","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"HOUR_APPR_PROCESS_START","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"REG_REGION_NOT_LIVE_REGION","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"REG_REGION_NOT_WORK_REGION","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"LIVE_REGION_NOT_WORK_REGION","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"REG_CITY_NOT_LIVE_CITY","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"REG_CITY_NOT_WORK_CITY","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"LIVE_CITY_NOT_WORK_CITY","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"ORGANIZATION_TYPE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"EXT_SOURCE_1","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"EXT_SOURCE_2","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"EXT_SOURCE_3","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"APARTMENTS_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"BASEMENTAREA_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BEGINEXPLUATATION_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BUILD_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"COMMONAREA_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"ELEVATORS_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"ENTRANCES_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FLOORSMAX_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"FLOORSMIN_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LANDAREA_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAPARTMENTS_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAREA_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NONLIVINGAPARTMENTS_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"NONLIVINGAREA_AVG","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"APARTMENTS_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"BASEMENTAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BEGINEXPLUATATION_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BUILD_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"COMMONAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"ELEVATORS_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"ENTRANCES_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FLOORSMAX_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"FLOORSMIN_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LANDAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAPARTMENTS_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NONLIVINGAPARTMENTS_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"NONLIVINGAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"APARTMENTS_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"BASEMENTAREA_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BEGINEXPLUATATION_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"YEARS_BUILD_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"COMMONAREA_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"ELEVATORS_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"ENTRANCES_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FLOORSMAX_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"FLOORSMIN_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LANDAREA_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAPARTMENTS_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"LIVINGAREA_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"NONLIVINGAPARTMENTS_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"NONLIVINGAREA_MEDI","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FONDKAPREMONT_MODE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"HOUSETYPE_MODE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"TOTALAREA_MODE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"WALLSMATERIAL_MODE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"EMERGENCYSTATE_MODE","dtype":"String","feature_type":"categorical","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"OBS_30_CNT_SOCIAL_CIRCLE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"DEF_30_CNT_SOCIAL_CIRCLE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"OBS_60_CNT_SOCIAL_CIRCLE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":3,"reason":null},{"feature":"DEF_60_CNT_SOCIAL_CIRCLE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"DAYS_LAST_PHONE_CHANGE","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null},{"feature":"FLAG_DOCUMENT_2","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_3","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_4","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_5","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_6","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_7","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_8","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_9","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_10","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_11","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_12","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_13","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_14","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_15","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_16","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_17","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_18","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_19","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_20","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"FLAG_DOCUMENT_21","dtype":"Int64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_HOUR","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_DAY","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_WEEK","dtype":"Float64","feature_type":"numeric"," | 1 | 2 |
| parameters | status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_MON","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_QRT","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":2,"reason":null},{"feature":"AMT_REQ_CREDIT_BUREAU_YEAR","dtype":"Float64","feature_type":"numeric","status":"fitted","usable":true,"n_bins":4,"reason":null}],"feature_data_source":{"EXT_SOURCE_2":"Home Credit 2018 application_{train|test}.csv","EXT_SOURCE_3":"Home Credit 2018 application_{train|test}.csv","EXT_SOURCE_1":"Home Credit 2018 application_{train|test}.csv","AMT_INCOME_TOTAL":"Home Credit 2018 application_{train|test}.csv","DAYS_BIRTH":"Home Credit 2018 application_{train|test}.csv","DAYS_EMPLOYED":"Home Credit 2018 application_{train|test}.csv","AMT_ANNUITY":"Home Credit 2018 application_{train|test}.csv","AMT_GOODS_PRICE":"Home Credit 2018 application_{train|test}.csv","NAME_INCOME_TYPE":"Home Credit 2018 application_{train|test}.csv","NAME_EDUCATION_TYPE":"Home Credit 2018 application_{train|test}.csv","NAME_CONTRACT_TYPE":"Home Credit 2018 application_{train|test}.csv","CODE_GENDER":"Home Credit 2018 application_{train|test}.csv","FLAG_OWN_CAR":"Home Credit 2018 application_{train|test}.csv","FLAG_OWN_REALTY":"Home Credit 2018 application_{train|test}.csv","CNT_CHILDREN":"Home Credit 2018 application_{train|test}.csv","OCCUPATION_TYPE":"Home Credit 2018 application_{train|test}.csv","REGION_POPULATION_RELATIVE":"Home Credit 2018 application_{train|test}.csv","DAYS_REGISTRATION":"Home Credit 2018 application_{train|test}.csv","DAYS_ID_PUBLISH":"Home Credit 2018 application_{train|test}.csv","CNT_FAM_MEMBERS":"Home Credit 2018 application_{train|test}.csv"},"time_grain":"month","target_requested":"TARGET","has_target":true,"target_available":true,"feature_count":20,"profile_by_input":"month","group_col":"mars_group","group_count":7,"feature_dtypes":{"EXT_SOURCE_2":"Float64","EXT_SOURCE_3":"Float64","EXT_SOURCE_1":"Float64","AMT_INCOME_TOTAL":"Float64","DAYS_BIRTH":"Int64","DAYS_EMPLOYED":"Int64","AMT_ANNUITY":"Float64","AMT_GOODS_PRICE":"Float64","NAME_INCOME_TYPE":"String","NAME_EDUCATION_TYPE":"String","NAME_CONTRACT_TYPE":"String","CODE_GENDER":"String","FLAG_OWN_CAR":"String","FLAG_OWN_REALTY":"String","CNT_CHILDREN":"Int64","OCCUPATION_TYPE":"String","REGION_POPULATION_RELATIVE":"Float64","DAYS_REGISTRATION":"Float64","DAYS_ID_PUBLISH":"Int64","CNT_FAM_MEMBERS":"Float64"},"dt_col":"APPLY_DATE","start_dt":"2026-01-01","end_dt":"2026-07-31","targets":["TARGET"],"event_rate_by_target":{"TARGET":0.08072881945686496},"feature_start_aware_reference":false,"psi_include_missing":false,"psi_include_special":false,"risk_corr_baseline":"total","risk_corr_reference_source":"total","amount_col":"AMT_CREDIT","feature_start_reference_features":[],"feature_start_reference_dates":{}} | 2 | 2 |
| 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 |
| feature | display_name | dtype | data_source | target | group | metric | status | reason |
|---|---|---|---|---|---|---|---|---|
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202601 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202602 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202603 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202604 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202605 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202606 | risk_metrics | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | 202607 | risk_metrics | unobserved | no_observed_labels |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | TARGET | Total | mono | computed | NaN |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.29 | 22.19 | 0.65 | 0.01 | 1.00 | 0.44 | 1.87 | 19.55% | 17.78% | 20.36% |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.27 | 21.25 | 0.64 | 0.01 | 1.00 | 0.47 | 1.77 | 0.19% | 0.02% | 0.24% |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.13 | 11.42 | 0.59 | 0.00 | 1.00 | 0.40 | 1.68 | 54.43% | 42.12% | 56.66% |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 0.08 | 11.81 | 0.58 | 0.00 | 1.00 | 0.66 | 1.36 | 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 | 0.07 | 11.63 | 0.57 | 0.00 | 1.00 | 0.71 | 1.36 | 0.00% | 0.00% | 0.00% |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 0.06 | 10.57 | 0.56 | 0.00 | 0.80 | 0.67 | 1.19 | 0.00% | 0.00% | 0.00% |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 0.05 | 8.96 | 0.55 | 0.00 | 0.80 | 0.66 | 1.35 | 0.00% | 0.00% | 0.00% |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 0.05 | 10.47 | 0.56 | 0.00 | 0.80 | 0.77 | 1.31 | 31.44% | 31.06% | 32.01% |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.05 | 8.63 | 0.55 | 0.07 | 0.80 | 0.71 | 1.16 | 0.08% | 0.00% | 0.09% |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 0.04 | 9.53 | 0.55 | 0.00 | 1.00 | 0.00 | 1.26 | 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 | 0.04 | 8.45 | 0.55 | 0.02 | 1.00 | 0.76 | 1.23 | 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 | 0.02 | 6.00 | 0.54 | 0.00 | 0.80 | 0.78 | 1.13 | 0.00% | 0.00% | 0.00% |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.02 | 6.20 | 0.53 | 0.02 | 0.80 | 0.87 | 1.15 | 0.01% | 0.00% | 0.05% |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.02 | 5.10 | 0.53 | 0.00 | 0.80 | 0.82 | 1.09 | 0.00% | 0.00% | 0.00% |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 0.02 | 3.33 | 0.52 | 0.21 | 1.00 | 0.68 | 1.03 | 0.00% | 0.00% | 0.00% |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.01 | 3.61 | 0.52 | 0.02 | 0.80 | 0.88 | 1.07 | 0.00% | 0.00% | 0.00% |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 0.01 | 3.80 | 0.52 | 0.00 | 1.00 | 0.90 | 1.05 | 0.00% | 0.00% | 0.00% |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.01 | 3.41 | 0.52 | 0.00 | 1.00 | 0.96 | 1.10 | 0.00% | 0.00% | 0.00% |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.00 | 3.40 | 0.52 | 0.00 | 1.00 | 0.94 | 1.09 | 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 | 1.04 | 0.51 | 0.00 | 1.00 | 0.99 | 1.03 | 0.00% | 0.00% | 0.00% |
| 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.13% | 0.00% | 0.19% | 0.06% | 0.06% | 0.06% | 0.06% | 0.06% | 0.00% | 0.00% | 0.06% | 0.00% | 0.13% | 0.06% | 0.06% | 0.06% | 0.06% | 0.00% | 0.00% | 0.00% | 0.13% | 0.06% | 0.06% | 0.00% | 0.06% | 0.06% | 0.00% | 0.00% | 0.00% | 0.06% | 0.01% |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.00% | 0.06% | 0.06% | 0.12% | 0.00% | 0.00% | 0.12% | 0.17% | 0.06% | 0.18% | 0.06% | 0.12% | 0.00% | 0.06% | 0.12% | 0.06% | 0.06% | 0.06% | 0.12% | 0.23% | 0.06% | 0.00% | 0.12% | 0.06% | 0.06% | 0.24% | 0.36% | 0.06% | 0.06% | 0.06% | 0.12% | 0.06% | 0.18% | 0.00% | 0.06% | 0.17% | 0.06% | 0.12% | 0.00% | 0.06% | 0.11% | 0.24% | 0.12% | 0.06% | 0.18% | 0.00% | 0.00% | 0.17% | 0.06% | 0.12% | 0.06% | 0.12% | 0.06% | 0.00% | 0.29% | 0.06% | 0.17% | 0.06% | 0.06% | 0.00% | 0.12% | 0.12% | 0.00% | 0.06% | 0.06% | 0.00% | 0.12% | 0.06% | 0.12% | 0.06% | 0.00% | 0.12% | 0.00% | 0.23% | 0.18% | 0.06% | 0.12% | 0.12% | 0.00% | 0.23% | 0.00% | 0.06% | 0.00% | 0.18% | 0.06% | 0.18% | 0.12% | 0.24% | 0.18% | 0.00% | 0.06% | 0.06% | 0.06% | 0.23% | 0.06% | 0.06% | 0.23% | 0.06% | 0.06% | 0.06% | 0.11% | 0.06% | 0.00% | 0.06% | 0.23% | 0.17% | 0.06% | 0.00% | 0.12% | 0.12% | 0.06% | 0.00% | 0.06% | 0.06% | 0.00% | 0.06% | 0.18% | 0.06% | 0.12% | 0.06% | 0.06% | 0.06% | 0.00% | 0.29% | 0.00% | 0.00% | 0.12% | 0.00% | 0.12% | 0.00% | 0.06% | 0.12% | 0.23% | 0.06% | 0.06% | 0.30% | 0.06% | 0.00% | 0.00% | 0.24% | 0.06% | 0.17% | 0.12% | 0.06% | 0.17% | 0.06% | 0.06% | 0.00% | 0.06% | 0.17% | 0.12% | 0.00% | 0.23% | 0.12% | 0.00% | 0.06% | 0.06% | 0.06% | 0.23% | 0.00% | 0.12% | 0.06% | 0.06% | 0.06% | 0.06% | 0.06% | 0.23% | 0.17% | 0.23% | 0.18% | 0.06% | 0.12% | 0.06% | 0.00% | 0.12% | 0.00% | 0.17% | 0.06% | 0.06% | 0.00% | 0.12% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 57.03% | 57.72% | 57.79% | 53.58% | 57.60% | 56.11% | 57.73% | 56.54% | 56.62% | 56.41% | 56.81% | 55.24% | 57.69% | 56.78% | 54.57% | 55.85% | 56.96% | 55.44% | 58.17% | 58.29% | 56.64% | 57.85% | 55.15% | 55.96% | 55.77% | 57.62% | 56.03% | 57.68% | 57.14% | 56.28% | 57.42% | 56.06% | 58.20% | 55.25% | 54.91% | 55.68% | 56.19% | 56.37% | 56.36% | 56.57% | 56.00% | 56.34% | 57.06% | 56.67% | 57.03% | 55.61% | 57.08% | 55.55% | 57.29% | 57.36% | 55.50% | 58.70% | 56.59% | 55.37% | 56.93% | 53.69% | 54.88% | 55.70% | 59.01% | 56.77% | 54.94% | 56.48% | 57.72% | 54.73% | 56.74% | 56.44% | 57.13% | 55.61% | 53.45% | 55.94% | 56.86% | 57.93% | 57.30% | 57.30% | 56.41% | 53.68% | 55.19% | 55.94% | 56.59% | 53.75% | 58.07% | 58.67% | 57.83% | 57.85% | 56.56% | 57.54% | 55.10% | 53.16% | 55.89% | 56.15% | 58.04% | 57.27% | 57.57% | 55.25% | 57.29% | 56.28% | 57.14% | 55.01% | 56.70% | 56.83% | 55.80% | 55.94% | 56.49% | 55.63% | 55.01% | 57.32% | 55.72% | 56.66% | 57.41% | 56.11% | 56.02% | 55.77% | 53.96% | 55.32% | 56.01% | 55.75% | 55.68% | 56.86% | 56.34% | 53.84% | 54.34% | 54.81% | 55.20% | 56.53% | 55.14% | 58.66% | 57.35% | 59.19% | 54.94% | 55.87% | 58.78% | 56.94% | 56.19% | 56.19% | 56.88% | 58.32% | 55.34% | 56.80% | 56.75% | 55.85% | 57.70% | 59.16% | 54.75% | 56.52% | 58.22% | 55.88% | 58.35% | 57.05% | 57.44% | 56.21% | 54.11% | 56.85% | 55.59% | 55.98% | 55.64% | 56.87% | 54.37% | 54.66% | 56.95% | 57.21% | 55.65% | 58.13% | 54.78% | 55.39% | 57.74% | 55.83% | 57.18% | 55.69% | 54.50% | 53.49% | 56.85% | 57.21% | 57.71% | 55.90% | 57.43% | 56.21% | 56.14% | 57.73% | 57.62% | 54.13% | 56.30% | 42.25% | 42.07% | 40.92% | 44.90% | 42.95% | 43.29% | 41.00% | 41.59% | 40.74% | 41.28% | 41.70% | 42.02% | 44.24% | 40.13% | 44.19% | 41.18% | 41.82% | 39.95% | 44.10% | 42.80% | 41.17% | 42.11% | 40.82% | 42.47% | 43.77% | 41.55% | 43.03% | 41.28% | 43.27% | 42.02% | 41.44% | 54.43% |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.24% | 0.36% | 0.18% | 0.17% | 0.12% | 0.06% | 0.23% | 0.29% | 0.35% | 0.18% | 0.12% | 0.29% | 0.23% | 0.29% | 0.12% | 0.06% | 0.24% | 0.24% | 0.18% | 0.41% | 0.12% | 0.31% | 0.00% | 0.12% | 0.31% | 0.24% | 0.24% | 0.18% | 0.35% | 0.23% | 0.23% | 0.47% | 0.06% | 0.18% | 0.55% | 0.23% | 0.17% | 0.47% | 0.25% | 0.18% | 0.11% | 0.18% | 0.41% | 0.12% | 0.18% | 0.23% | 0.17% | 0.23% | 0.18% | 0.24% | 0.06% | 0.24% | 0.18% | 0.23% | 0.06% | 0.24% | 0.29% | 0.12% | 0.12% | 0.12% | 0.12% | 0.12% | 0.12% | 0.06% | 0.37% | 0.22% | 0.30% | 0.23% | 0.17% | 0.24% | 0.23% | 0.00% | 0.12% | 0.00% | 0.35% | 0.12% | 0.17% | 0.24% | 0.12% | 0.28% | 0.23% | 0.34% | 0.06% | 0.12% | 0.23% | 0.36% | 0.00% | 0.42% | 0.30% | 0.12% | 0.11% | 0.46% | 0.23% | 0.18% | 0.17% | 0.06% | 0.11% | 0.43% | 0.12% | 0.42% | 0.34% | 0.12% | 0.12% | 0.06% | 0.23% | 0.29% | 0.24% | 0.41% | 0.12% | 0.00% | 0.06% | 0.12% | 0.11% | 0.18% | 0.29% | 0.24% | 0.12% | 0.37% | 0.18% | 0.12% | 0.24% | 0.42% | 0.37% | 0.11% | 0.24% | 0.06% | 0.18% | 0.17% | 0.18% | 0.12% | 0.06% | 0.17% | 0.12% | 0.42% | 0.17% | 0.35% | 0.34% | 0.11% | 0.30% | 0.12% | 0.00% | 0.23% | 0.48% | 0.24% | 0.29% | 0.12% | 0.34% | 0.12% | 0.18% | 0.52% | 0.06% | 0.17% | 0.12% | 0.12% | 0.11% | 0.29% | 0.30% | 0.29% | 0.06% | 0.12% | 0.12% | 0.30% | 0.24% | 0.12% | 0.42% | 0.24% | 0.23% | 0.35% | 0.11% | 0.42% | 0.34% | 0.35% | 0.29% | 0.41% | 0.29% | 0.17% | 0.17% | 0.17% | 0.12% | 0.35% | 0.52% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.06% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.13% | 0.00% | 0.00% | 0.00% | 0.00% | 0.07% | 0.13% | 0.06% | 0.00% | 0.00% | 0.00% | 0.00% | 0.19% |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 20.05% | 19.60% | 21.04% | 20.50% | 20.60% | 18.80% | 22.24% | 21.82% | 21.04% | 22.24% | 19.73% | 19.76% | 20.44% | 19.97% | 20.98% | 20.14% | 19.47% | 20.50% | 20.09% | 20.51% | 21.38% | 20.86% | 19.72% | 18.95% | 21.75% | 20.60% | 18.70% | 20.04% | 19.41% | 19.78% | 20.41% | 19.29% | 19.50% | 20.29% | 19.01% | 20.85% | 19.93% | 18.49% | 20.53% | 20.67% | 19.56% | 20.54% | 19.21% | 20.14% | 20.52% | 18.48% | 19.97% | 21.28% | 19.82% | 21.47% | 20.62% | 19.27% | 19.10% | 19.15% | 20.22% | 18.96% | 19.71% | 18.71% | 19.75% | 21.14% | 19.46% | 21.14% | 18.96% | 19.93% | 20.38% | 20.29% | 19.70% | 19.26% | 19.07% | 20.11% | 21.48% | 19.45% | 20.04% | 19.12% | 20.38% | 18.85% | 19.67% | 20.77% | 19.57% | 20.80% | 21.59% | 18.36% | 20.28% | 18.46% | 17.89% | 19.12% | 22.00% | 19.23% | 18.41% | 20.11% | 21.24% | 19.69% | 18.26% | 19.78% | 20.64% | 19.37% | 19.14% | 20.27% | 19.89% | 21.68% | 18.35% | 19.40% | 17.47% | 19.02% | 19.41% | 19.18% | 20.34% | 19.85% | 19.73% | 20.66% | 18.24% | 19.38% | 19.41% | 18.28% | 20.00% | 19.90% | 20.08% | 20.65% | 21.74% | 20.35% | 21.77% | 17.99% | 20.68% | 19.30% | 19.88% | 20.79% | 20.42% | 20.17% | 20.36% | 18.58% | 20.47% | 21.03% | 21.96% | 18.49% | 17.80% | 20.19% | 17.53% | 20.29% | 20.20% | 19.10% | 17.57% | 20.28% | 20.43% | 17.52% | 18.22% | 20.24% | 20.06% | 18.66% | 21.86% | 19.34% | 17.84% | 20.15% | 20.33% | 20.81% | 18.98% | 19.66% | 20.69% | 20.65% | 18.72% | 19.28% | 19.33% | 18.91% | 20.78% | 19.46% | 20.48% | 19.58% | 19.10% | 18.54% | 18.19% | 20.16% | 19.20% | 20.49% | 20.42% | 19.68% | 20.15% | 19.20% | 18.86% | 19.83% | 19.52% | 17.51% | 18.59% | 16.40% | 16.99% | 16.95% | 18.54% | 19.60% | 17.85% | 18.37% | 17.90% | 18.70% | 16.85% | 17.66% | 16.83% | 18.18% | 18.86% | 17.74% | 17.71% | 17.45% | 17.53% | 17.82% | 16.91% | 17.16% | 18.15% | 17.47% | 18.74% | 18.83% | 17.03% | 17.19% | 16.35% | 18.61% | 18.84% | 18.07% | 19.55% |
| 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 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 | 30.81% | 32.51% | 31.66% | 31.87% | 31.47% | 28.92% | 31.91% | 29.93% | 31.65% | 29.00% | 31.09% | 33.57% | 32.25% | 30.24% | 31.79% | 32.55% | 31.75% | 33.74% | 31.58% | 31.58% | 32.64% | 31.07% | 29.08% | 31.52% | 31.77% | 30.65% | 31.78% | 30.08% | 30.65% | 31.55% | 30.56% | 32.87% | 32.28% | 33.02% | 29.68% | 30.75% | 30.86% | 30.65% | 31.47% | 31.25% | 31.44% | 31.65% | 29.06% | 33.43% | 30.48% | 31.96% | 33.43% | 31.97% | 33.19% | 30.23% | 32.96% | 30.96% | 31.22% | 31.86% | 31.74% | 31.13% | 31.74% | 29.62% | 34.31% | 30.51% | 31.64% | 32.33% | 30.74% | 29.86% | 31.30% | 30.86% | 31.76% | 30.59% | 30.61% | 31.11% | 30.71% | 32.89% | 32.08% | 31.26% | 30.18% | 32.20% | 31.11% | 31.99% | 31.15% | 30.85% | 29.97% | 33.14% | 30.80% | 34.29% | 30.49% | 33.23% | 30.78% | 32.19% | 31.97% | 33.23% | 30.48% | 30.95% | 30.46% | 31.16% | 31.37% | 32.10% | 30.97% | 28.68% | 32.53% | 33.17% | 30.45% | 32.83% | 30.93% | 29.62% | 30.85% | 31.60% | 30.08% | 33.45% | 31.96% | 31.68% | 32.05% | 29.95% | 31.36% | 30.37% | 30.38% | 31.10% | 31.67% | 29.96% | 31.03% | 30.79% | 29.71% | 30.46% | 32.74% | 29.32% | 30.69% | 32.33% | 32.21% | 31.48% | 30.95% | 32.89% | 32.27% | 32.36% | 33.35% | 32.73% | 30.04% | 32.41% | 30.95% | 31.94% | 30.15% | 32.20% | 31.23% | 31.65% | 30.64% | 32.42% | 31.58% | 30.87% | 30.91% | 30.95% | 32.88% | 31.59% | 29.58% | 31.71% | 33.10% | 31.45% | 31.27% | 30.40% | 32.22% | 29.44% | 30.62% | 30.89% | 30.52% | 32.15% | 27.57% | 30.48% | 32.50% | 31.72% | 33.27% | 30.96% | 31.07% | 30.53% | 32.15% | 31.17% | 33.12% | 30.43% | 30.46% | 30.51% | 30.91% | 31.45% | 30.19% | 29.25% | 30.27% | 30.95% | 29.53% | 32.76% | 33.79% | 31.05% | 30.25% | 34.00% | 31.51% | 33.19% | 30.15% | 32.00% | 31.37% | 32.78% | 30.38% | 32.32% | 32.48% | 33.10% | 29.57% | 32.57% | 34.80% | 31.91% | 29.24% | 32.46% | 30.86% | 31.96% | 30.56% | 31.38% | 33.65% | 35.32% | 33.49% | 32.91% | 31.44% |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 56.66% | 56.35% | 56.25% | 56.18% | 56.64% | 56.19% | 42.12% | 54.43% |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 31.33% | 31.62% | 31.47% | 31.14% | 31.46% | 31.06% | 32.01% | 31.44% |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 20.36% | 19.82% | 19.84% | 19.71% | 19.65% | 19.57% | 17.78% | 19.55% |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.22% | 0.22% | 0.19% | 0.20% | 0.22% | 0.24% | 0.02% | 0.19% |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.09% | 0.09% | 0.09% | 0.08% | 0.09% | 0.09% | 0.00% | 0.08% |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.01% | 0.00% | 0.00% | 0.00% | 0.00% | 0.01% | 0.05% | 0.01% |
| 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% | 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% | 0.00% | 0.00% |
| 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% | 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% | 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% | 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% | 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% | 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% | 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% | 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% | 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% | 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% | 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% | 0.00% | 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% | 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 | 0.21 | 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 | 0.07 | 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 | 0.02 | 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 | 0.02 | 0.00 |
| 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 | 0.02 | 0.00 |
| 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 | 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 | 0.01 | 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 | 0.01 | 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 | 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 | 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 | 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 | 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 | 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 | 0.00 | 0.00 |
| 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 | 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 | 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 | 0.00 | 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 | 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 | 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 | 0.00 | 0.00 |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.28 | 0.30 | 0.28 | 0.29 | 0.31 | 0.29 | 0.29 | |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.28 | 0.28 | 0.27 | 0.25 | 0.27 | 0.27 | 0.27 | |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.15 | 0.14 | 0.12 | 0.14 | 0.13 | 0.14 | 0.13 | |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 0.07 | 0.08 | 0.07 | 0.08 | 0.08 | 0.09 | 0.08 | |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.08 | 0.06 | 0.07 | 0.07 | 0.08 | 0.07 | 0.07 | |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 0.05 | 0.07 | 0.06 | 0.06 | 0.06 | 0.06 | 0.06 | |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 0.07 | 0.06 | 0.04 | 0.06 | 0.04 | 0.05 | 0.05 | |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 0.05 | 0.05 | 0.06 | 0.05 | 0.04 | 0.05 | 0.05 | |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.05 | 0.04 | 0.05 | 0.04 | 0.04 | 0.05 | 0.05 | |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 0.05 | 0.03 | 0.04 | 0.03 | 0.04 | 0.04 | 0.04 | |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.04 | 0.04 | 0.04 | 0.03 | 0.04 | 0.05 | 0.04 | |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.04 | 0.02 | 0.02 | 0.03 | 0.02 | 0.02 | 0.02 | |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.02 | 0.03 | 0.02 | 0.01 | 0.02 | 0.01 | 0.02 | |
| 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 | 0.01 | 0.01 | 0.02 | 0.01 | 0.02 | |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 0.02 | 0.01 | 0.01 | 0.01 | 0.01 | 0.02 | 0.02 | |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.01 | 0.02 | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.01 | |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.01 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 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 | 0.00 |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 22.27 | 21.44 | 21.96 | 21.69 | 23.17 | 22.50 | 22.19 | |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 21.59 | 21.79 | 21.11 | 20.70 | 21.74 | 21.59 | 21.25 | |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 10.87 | 11.67 | 11.23 | 12.04 | 12.47 | 12.59 | 11.81 | |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 12.51 | 10.74 | 10.57 | 11.88 | 12.34 | 11.69 | 11.63 | |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 11.86 | 11.77 | 11.45 | 11.37 | 11.18 | 11.27 | 11.42 | |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 10.48 | 11.42 | 10.51 | 10.85 | 10.52 | 9.68 | 10.57 | |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 10.73 | 10.12 | 10.77 | 11.06 | 9.72 | 10.39 | 10.47 | |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 10.81 | 8.89 | 9.38 | 8.84 | 9.54 | 9.64 | 9.53 | |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 10.04 | 9.64 | 7.96 | 9.35 | 7.94 | 8.95 | 8.96 | |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 8.84 | 8.44 | 9.21 | 8.31 | 8.76 | 9.33 | 8.63 | |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 8.87 | 8.27 | 8.27 | 7.71 | 8.67 | 8.90 | 8.45 | |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 6.06 | 8.07 | 6.25 | 5.68 | 6.31 | 4.92 | 6.20 | |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | 8.06 | 5.53 | 5.12 | 6.37 | 6.23 | 5.99 | 6.00 | |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | 5.25 | 5.78 | 5.16 | 4.71 | 5.34 | 4.71 | 5.10 | |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 3.55 | 3.78 | 3.30 | 4.07 | 3.84 | 4.29 | 3.80 | |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 3.26 | 5.97 | 3.12 | 3.65 | 3.13 | 3.51 | 3.61 | |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 3.42 | 3.27 | 3.21 | 2.86 | 4.62 | 3.00 | 3.41 | |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 3.57 | 2.65 | 3.58 | 3.21 | 4.41 | 2.83 | 3.40 | |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 4.17 | 3.18 | 3.00 | 3.12 | 3.04 | 3.47 | 3.33 | |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | 0.60 | 1.19 | 0.90 | 1.19 | 0.22 | 2.23 | 1.04 |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 4.17 | 5.35 | 2.04 | 1.22 | 1.19 | 1.95 | 2.25 | |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.88 | 1.89 | 1.84 | 1.85 | 1.89 | 1.86 | 1.87 | |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.78 | 1.80 | 1.77 | 1.73 | 1.76 | 1.79 | 1.77 | |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.72 | 1.69 | 1.70 | 1.62 | 1.67 | 1.69 | 1.68 | |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 1.35 | 1.41 | 1.32 | 1.37 | 1.35 | 1.38 | 1.36 | |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.38 | 1.34 | 1.38 | 1.33 | 1.37 | 1.36 | 1.36 | |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 1.33 | 1.67 | 1.26 | 1.41 | 1.13 | 1.36 | 1.35 | |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 1.32 | 1.29 | 1.36 | 1.25 | 1.31 | 1.33 | 1.31 | |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 1.29 | 1.24 | 1.25 | 1.24 | 1.26 | 1.26 | 1.26 | |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.24 | 1.23 | 1.21 | 1.20 | 1.26 | 1.24 | 1.23 | |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.16 | 1.16 | 1.30 | 1.16 | 1.19 | 1.19 | 1.16 | |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.12 | 1.18 | 1.13 | 1.14 | 1.21 | 1.12 | 1.15 | |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.18 | 1.13 | 1.10 | 1.14 | 1.13 | 1.12 | 1.13 | |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.11 | 1.10 | 1.10 | 1.09 | 1.14 | 1.09 | 1.10 | |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.09 | 1.08 | 1.09 | 1.07 | 1.13 | 1.07 | 1.09 | |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.11 | 1.12 | 1.07 | 1.11 | 1.11 | 1.11 | 1.09 | |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.06 | 1.09 | 1.05 | 1.08 | 1.06 | 1.07 | 1.07 | |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 1.05 | 1.05 | 1.05 | 1.06 | 1.05 | 1.06 | 1.05 | |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 1.04 | 1.03 | 1.03 | 1.03 | 1.03 | 1.04 | 1.03 | |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | 1.02 | 1.04 | 1.03 | 1.04 | 1.01 | 1.07 | 1.03 |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 | 0.65 | 0.65 | |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.64 | 0.64 | 0.64 | 0.64 | 0.64 | 0.64 | 0.64 | |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.59 | 0.59 | 0.58 | 0.58 | 0.58 | 0.58 | 0.59 | |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 0.57 | 0.58 | 0.57 | 0.58 | 0.58 | 0.58 | 0.58 | |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.58 | 0.57 | 0.57 | 0.57 | 0.58 | 0.57 | 0.57 | |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 0.56 | 0.56 | 0.57 | 0.56 | 0.56 | 0.56 | 0.56 | |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 0.56 | 0.57 | 0.56 | 0.56 | 0.56 | 0.56 | 0.56 | |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.55 | 0.55 | 0.56 | 0.55 | 0.55 | 0.56 | 0.55 | |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.55 | 0.55 | 0.55 | 0.55 | 0.56 | 0.56 | 0.55 | |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 0.55 | 0.54 | 0.55 | 0.54 | 0.55 | 0.55 | 0.55 | |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 0.55 | 0.55 | 0.54 | 0.55 | 0.54 | 0.55 | 0.55 | |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.55 | 0.54 | 0.53 | 0.54 | 0.54 | 0.54 | 0.54 | |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.53 | 0.54 | 0.53 | 0.53 | 0.54 | 0.53 | 0.53 | |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.53 | 0.54 | 0.53 | 0.53 | 0.53 | 0.53 | 0.53 | |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.52 | 0.53 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.52 | 0.52 | 0.52 | 0.52 | 0.53 | 0.52 | 0.52 | |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 0.52 | 0.52 | 0.52 | 0.51 | 0.52 | 0.51 | 0.52 | |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | 0.50 | 0.51 | 0.50 | 0.51 | 0.50 | 0.51 | 0.51 |
| AMT_ANNUITY | 贷款年金 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.80 | 1.00 | 1.00 | 1.00 | 1.00 | 0.80 | 1.00 | |
| AMT_GOODS_PRICE | 贷款对应商品价格 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.80 | 1.00 | 0.80 | 0.80 | 0.80 | 1.00 | 1.00 | |
| AMT_INCOME_TOTAL | 客户收入 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 0.80 | 0.80 | 1.00 | 0.80 | 0.80 | 1.00 | |
| CNT_CHILDREN | 子女人数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| CNT_FAM_MEMBERS | 家庭成员人数 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| CODE_GENDER | 客户性别 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| DAYS_BIRTH | 申请时年龄天数(原始值) | Int64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| DAYS_EMPLOYED | 开始当前工作相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| DAYS_ID_PUBLISH | 变更身份证件相对申请的天数 | Int64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| DAYS_REGISTRATION | 变更登记相对申请的天数 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 0.80 | 1.00 | 0.80 | 1.00 | 1.00 | |
| EXT_SOURCE_1 | 外部来源分 1 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| EXT_SOURCE_2 | 外部来源分 2 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| EXT_SOURCE_3 | 外部来源分 3 | Float64 | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| FLAG_OWN_CAR | 是否拥有汽车 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| FLAG_OWN_REALTY | 是否拥有住宅 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| NAME_CONTRACT_TYPE | 贷款合同类型 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| NAME_EDUCATION_TYPE | 最高教育程度 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 0.80 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| NAME_INCOME_TYPE | 收入类型 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 1.00 | 0.80 | 1.00 | 1.00 | 1.00 | 1.00 | |
| OCCUPATION_TYPE | 职业类型 | String | Home Credit 2018 application_{train|test}.csv | 1.00 | 0.80 | 1.00 | 1.00 | 0.80 | 1.00 | 1.00 | |
| REGION_POPULATION_RELATIVE | 居住地区归一化人口规模 | Float64 | Home Credit 2018 application_{train|test}.csv | 0.80 | 1.00 | 1.00 | 0.80 | 1.00 | 1.00 | 1.00 |
| Feature | Bin | pct | risk | lift | bad count | total count | iv | ||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | Total | 202601 | 202602 | 202603 | 202604 | 202605 | 202606 | 202607 | ||
| EXT_SOURCE_3 | Missing | 19.55% | 20.36% | 19.82% | 19.84% | 19.71% | 19.65% | 19.57% | 17.78% | 8.15% | 9.29% | 8.81% | 9.52% | 9.28% | 9.63% | 9.29% | 0.00% | 1.18 | 1.16 | 1.10 | 1.17 | 1.14 | 1.18 | 1.18 | 5677.00 | 992.00 | 829.00 | 994.00 | 934.00 | 998.00 | 930.00 | 0.00 | 69633.00 | 10674.00 | 9409.00 | 10436.00 | 10070.00 | 10360.00 | 10016.00 | 8668.00 | 0.03 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | |
| 00_[-inf, 0.3706) | 20.15% | 19.46% | 19.89% | 20.13% | 20.31% | 19.98% | 20.00% | 21.37% | 12.90% | 15.04% | 15.16% | 15.01% | 15.10% | 15.49% | 14.73% | 0.00% | 1.89 | 1.88 | 1.89 | 1.84 | 1.85 | 1.89 | 1.86 | 9263.00 | 1535.00 | 1432.00 | 1589.00 | 1567.00 | 1632.00 | 1508.00 | 0.00 | 71796.00 | 10203.00 | 9443.00 | 10588.00 | 10378.00 | 10534.00 | 10235.00 | 10415.00 | 0.80 | 0.13 | 0.14 | 0.13 | 0.13 | 0.14 | 0.13 | 0.00 | ||
| 01_[0.3706, 0.5353) | 20.18% | 19.69% | 20.09% | 19.89% | 20.00% | 19.91% | 19.87% | 21.89% | 6.46% | 7.30% | 7.73% | 7.61% | 7.93% | 7.67% | 7.26% | 0.00% | 0.97 | 0.91 | 0.96 | 0.93 | 0.97 | 0.94 | 0.92 | 4640.00 | 753.00 | 737.00 | 796.00 | 811.00 | 805.00 | 738.00 | 0.00 | 71879.00 | 10321.00 | 9535.00 | 10460.00 | 10222.00 | 10502.00 | 10170.00 | 10669.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[0.5353, 0.6675) | 20.13% | 20.12% | 20.24% | 20.02% | 19.84% | 20.05% | 20.08% | 20.61% | 4.23% | 4.98% | 5.27% | 4.87% | 4.84% | 4.67% | 4.94% | 0.00% | 0.66 | 0.62 | 0.66 | 0.60 | 0.59 | 0.57 | 0.63 | 3037.00 | 525.00 | 506.00 | 513.00 | 491.00 | 494.00 | 508.00 | 0.00 | 71725.00 | 10549.00 | 9609.00 | 10531.00 | 10140.00 | 10572.00 | 10277.00 | 10047.00 | 0.27 | 0.04 | 0.03 | 0.05 | 0.05 | 0.06 | 0.04 | 0.00 | ||
| 03_[0.6675, inf) | 19.99% | 20.37% | 19.95% | 20.13% | 20.14% | 20.42% | 20.49% | 18.35% | 3.10% | 3.60% | 3.17% | 3.81% | 3.60% | 3.62% | 3.43% | 0.00% | 0.47 | 0.45 | 0.40 | 0.47 | 0.44 | 0.44 | 0.43 | 2208.00 | 385.00 | 300.00 | 403.00 | 370.00 | 390.00 | 360.00 | 0.00 | 71222.00 | 10681.00 | 9469.00 | 10586.00 | 10289.00 | 10767.00 | 10485.00 | 8945.00 | 0.65 | 0.10 | 0.13 | 0.09 | 0.11 | 0.11 | 0.11 | 0.00 | ||
| EXT_SOURCE_2 | Missing | 0.19% | 0.22% | 0.22% | 0.19% | 0.20% | 0.22% | 0.24% | 0.02% | 7.78% | 9.73% | 5.77% | 9.00% | 6.86% | 8.62% | 7.20% | 0.00% | 1.22 | 1.22 | 0.72 | 1.10 | 0.84 | 1.05 | 0.91 | 52.00 | 11.00 | 6.00 | 9.00 | 7.00 | 10.00 | 9.00 | 0.00 | 668.00 | 113.00 | 104.00 | 100.00 | 102.00 | 116.00 | 125.00 | 8.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 00_[-inf, 0.3922) | 24.70% | 24.87% | 24.91% | 25.08% | 24.86% | 24.82% | 25.02% | 23.25% | 12.45% | 14.20% | 14.46% | 14.47% | 14.16% | 14.39% | 14.10% | 0.00% | 1.80 | 1.78 | 1.80 | 1.77 | 1.73 | 1.76 | 1.79 | 10958.00 | 1851.00 | 1710.00 | 1909.00 | 1799.00 | 1883.00 | 1806.00 | 0.00 | 87984.00 | 13037.00 | 11825.00 | 13190.00 | 12705.00 | 13088.00 | 12805.00 | 11334.00 | 0.81 | 0.14 | 0.14 | 0.14 | 0.12 | 0.13 | 0.14 | 0.00 | ||
| 01_[0.3922, 0.566) | 25.46% | 25.27% | 24.70% | 24.89% | 24.92% | 25.02% | 24.98% | 28.52% | 6.92% | 8.15% | 7.79% | 8.11% | 8.42% | 8.57% | 7.98% | 0.00% | 1.05 | 1.02 | 0.97 | 0.99 | 1.03 | 1.05 | 1.01 | 6279.00 | 1080.00 | 914.00 | 1062.00 | 1072.00 | 1131.00 | 1020.00 | 0.00 | 90686.00 | 13250.00 | 11726.00 | 13095.00 | 12735.00 | 13194.00 | 12784.00 | 13902.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[0.566, 0.6635) | 24.87% | 24.52% | 24.95% | 24.98% | 25.34% | 24.76% | 24.93% | 24.57% | 5.21% | 5.97% | 6.14% | 6.15% | 6.25% | 5.95% | 5.67% | 0.00% | 0.77 | 0.75 | 0.77 | 0.75 | 0.77 | 0.73 | 0.72 | 4612.00 | 767.00 | 727.00 | 808.00 | 809.00 | 777.00 | 724.00 | 0.00 | 88584.00 | 12857.00 | 11844.00 | 13142.00 | 12946.00 | 13057.00 | 12761.00 | 11977.00 | 0.13 | 0.02 | 0.02 | 0.02 | 0.02 | 0.03 | 0.03 | 0.00 | ||
| 03_[0.6635, inf) | 24.79% | 25.12% | 25.21% | 24.86% | 24.68% | 25.18% | 24.83% | 23.64% | 3.31% | 3.65% | 3.74% | 3.88% | 3.85% | 3.90% | 3.82% | 0.00% | 0.48 | 0.46 | 0.47 | 0.47 | 0.47 | 0.48 | 0.48 | 2924.00 | 481.00 | 447.00 | 507.00 | 486.00 | 518.00 | 485.00 | 0.00 | 88333.00 | 13171.00 | 11966.00 | 13074.00 | 12611.00 | 13280.00 | 12708.00 | 11523.00 | 0.69 | 0.12 | 0.12 | 0.11 | 0.11 | 0.11 | 0.11 | 0.00 | ||
| EXT_SOURCE_1 | Missing | 54.43% | 56.66% | 56.35% | 56.25% | 56.18% | 56.64% | 56.19% | 42.12% | 7.62% | 8.43% | 8.47% | 8.60% | 8.67% | 8.66% | 8.29% | 0.00% | 1.06 | 1.05 | 1.06 | 1.05 | 1.06 | 1.06 | 1.05 | 14771.00 | 2503.00 | 2265.00 | 2545.00 | 2488.00 | 2586.00 | 2384.00 | 0.00 | 193910.00 | 29704.00 | 26748.00 | 29589.00 | 28705.00 | 29870.00 | 28762.00 | 20532.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 00_[-inf, 0.3326) | 11.21% | 10.83% | 11.08% | 10.78% | 11.06% | 10.52% | 10.72% | 13.61% | 11.32% | 13.77% | 13.54% | 13.86% | 13.25% | 13.67% | 13.34% | 0.00% | 1.72 | 1.72 | 1.69 | 1.70 | 1.62 | 1.67 | 1.69 | 4519.00 | 782.00 | 712.00 | 786.00 | 749.00 | 758.00 | 732.00 | 0.00 | 39926.00 | 5678.00 | 5260.00 | 5673.00 | 5651.00 | 5546.00 | 5486.00 | 6632.00 | 0.28 | 0.05 | 0.05 | 0.05 | 0.04 | 0.04 | 0.05 | 0.00 | ||
| 01_[0.3326, 0.5057) | 11.55% | 10.64% | 11.01% | 11.01% | 11.02% | 10.98% | 11.11% | 15.23% | 6.40% | 7.82% | 7.88% | 6.99% | 8.24% | 7.86% | 8.07% | 0.00% | 1.02 | 0.98 | 0.98 | 0.86 | 1.01 | 0.96 | 1.02 | 2631.00 | 436.00 | 412.00 | 405.00 | 464.00 | 455.00 | 459.00 | 0.00 | 41132.00 | 5579.00 | 5228.00 | 5793.00 | 5630.00 | 5790.00 | 5688.00 | 7424.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[0.5057, 0.6746) | 11.50% | 10.88% | 10.74% | 11.04% | 10.82% | 10.92% | 10.95% | 15.35% | 4.40% | 5.17% | 4.61% | 5.99% | 5.57% | 5.59% | 5.30% | 0.00% | 0.73 | 0.65 | 0.58 | 0.73 | 0.68 | 0.68 | 0.67 | 1805.00 | 295.00 | 235.00 | 348.00 | 308.00 | 322.00 | 297.00 | 0.00 | 40984.00 | 5703.00 | 5097.00 | 5809.00 | 5527.00 | 5759.00 | 5607.00 | 7482.00 | 0.11 | 0.02 | 0.03 | 0.01 | 0.02 | 0.02 | 0.02 | 0.00 | ||
| 03_[0.6746, inf) | 11.31% | 10.99% | 10.81% | 10.91% | 10.93% | 10.94% | 11.02% | 13.69% | 2.73% | 3.02% | 3.51% | 3.68% | 2.94% | 3.43% | 3.05% | 0.00% | 0.45 | 0.38 | 0.44 | 0.45 | 0.36 | 0.42 | 0.39 | 1099.00 | 174.00 | 180.00 | 211.00 | 164.00 | 198.00 | 172.00 | 0.00 | 40303.00 | 5764.00 | 5132.00 | 5737.00 | 5586.00 | 5770.00 | 5640.00 | 6674.00 | 0.41 | 0.08 | 0.06 | 0.06 | 0.08 | 0.06 | 0.07 | 0.00 | ||
| DAYS_BIRTH | 00_[-inf, -19,679) | 24.98% | 25.10% | 25.24% | 24.80% | 24.88% | 25.10% | 24.99% | 24.73% | 4.60% | 5.40% | 5.36% | 5.47% | 5.36% | 5.28% | 5.04% | 0.00% | 0.68 | 0.68 | 0.67 | 0.67 | 0.66 | 0.64 | 0.64 | 4091.00 | 711.00 | 642.00 | 713.00 | 681.00 | 699.00 | 645.00 | 0.00 | 88975.00 | 13161.00 | 11978.00 | 13046.00 | 12711.00 | 13235.00 | 12791.00 | 12053.00 | 0.25 | 0.04 | 0.04 | 0.04 | 0.04 | 0.05 | 0.05 | 0.00 | |
| 01_[-19,679, -15,752) | 25.04% | 24.97% | 24.70% | 25.48% | 24.81% | 24.86% | 24.96% | 25.52% | 6.30% | 7.39% | 7.24% | 7.49% | 7.34% | 7.35% | 7.09% | 0.00% | 0.93 | 0.93 | 0.90 | 0.92 | 0.90 | 0.90 | 0.90 | 5622.00 | 968.00 | 849.00 | 1004.00 | 931.00 | 964.00 | 906.00 | 0.00 | 89221.00 | 13090.00 | 11722.00 | 13405.00 | 12678.00 | 13110.00 | 12776.00 | 12440.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[-15,752, -12,407) | 25.10% | 24.93% | 25.03% | 24.65% | 25.34% | 25.43% | 24.96% | 25.40% | 7.46% | 8.36% | 8.16% | 8.90% | 8.77% | 9.12% | 8.59% | 0.00% | 1.11 | 1.05 | 1.02 | 1.09 | 1.07 | 1.11 | 1.09 | 6672.00 | 1093.00 | 969.00 | 1154.00 | 1136.00 | 1223.00 | 1097.00 | 0.00 | 89431.00 | 13072.00 | 11879.00 | 12965.00 | 12946.00 | 13413.00 | 12774.00 | 12382.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[-12,407, inf) | 24.88% | 25.00% | 25.04% | 25.07% | 24.98% | 24.61% | 25.09% | 24.35% | 9.52% | 10.82% | 11.31% | 10.80% | 11.16% | 11.04% | 10.87% | 0.00% | 1.41 | 1.35 | 1.41 | 1.32 | 1.37 | 1.35 | 1.38 | 8440.00 | 1418.00 | 1344.00 | 1424.00 | 1425.00 | 1433.00 | 1396.00 | 0.00 | 88628.00 | 13105.00 | 11886.00 | 13185.00 | 12764.00 | 12977.00 | 12842.00 | 11869.00 | 0.20 | 0.03 | 0.04 | 0.03 | 0.03 | 0.03 | 0.04 | 0.00 | ||
| DAYS_EMPLOYED | 00_[-inf, -2757) | 25.29% | 25.20% | 24.78% | 24.86% | 25.09% | 25.27% | 24.98% | 26.88% | 4.90% | 5.34% | 5.99% | 5.87% | 5.81% | 5.82% | 5.61% | 0.00% | 0.75 | 0.67 | 0.75 | 0.72 | 0.71 | 0.71 | 0.71 | 4413.00 | 705.00 | 704.00 | 767.00 | 745.00 | 775.00 | 717.00 | 0.00 | 90082.00 | 13211.00 | 11762.00 | 13077.00 | 12819.00 | 13326.00 | 12785.00 | 13102.00 | 0.17 | 0.04 | 0.02 | 0.03 | 0.03 | 0.03 | 0.03 | 0.00 | |
| 01_[-2757, -1213) | 24.96% | 24.69% | 24.90% | 25.29% | 25.15% | 24.91% | 24.85% | 24.91% | 7.44% | 8.65% | 8.41% | 8.29% | 9.02% | 8.87% | 8.46% | 0.00% | 1.10 | 1.08 | 1.05 | 1.02 | 1.10 | 1.08 | 1.07 | 6617.00 | 1120.00 | 994.00 | 1103.00 | 1159.00 | 1165.00 | 1076.00 | 0.00 | 88918.00 | 12944.00 | 11821.00 | 13302.00 | 12853.00 | 13138.00 | 12717.00 | 12143.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[-1213, -290) | 24.74% | 24.94% | 25.16% | 24.77% | 25.07% | 24.75% | 25.07% | 23.36% | 9.57% | 11.03% | 10.77% | 11.24% | 10.87% | 11.26% | 10.74% | 0.00% | 1.38 | 1.38 | 1.34 | 1.38 | 1.33 | 1.37 | 1.36 | 8431.00 | 1442.00 | 1286.00 | 1464.00 | 1392.00 | 1469.00 | 1378.00 | 0.00 | 88131.00 | 13078.00 | 11941.00 | 13029.00 | 12810.00 | 13051.00 | 12833.00 | 11389.00 | 0.20 | 0.04 | 0.03 | 0.04 | 0.03 | 0.04 | 0.03 | 0.00 | ||
| 03_[-290, inf) | 25.02% | 25.17% | 25.16% | 25.08% | 24.69% | 25.07% | 25.10% | 24.84% | 6.02% | 7.00% | 6.87% | 7.28% | 6.95% | 6.88% | 6.79% | 0.00% | 0.89 | 0.88 | 0.86 | 0.89 | 0.85 | 0.84 | 0.86 | 5364.00 | 923.00 | 820.00 | 961.00 | 877.00 | 910.00 | 873.00 | 0.00 | 89124.00 | 13195.00 | 11941.00 | 13193.00 | 12617.00 | 13220.00 | 12848.00 | 12110.00 | 0.04 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | ||
| NAME_INCOME_TYPE | 00_[Working] | 51.46% | 51.47% | 51.58% | 51.70% | 52.12% | 51.50% | 51.49% | 50.33% | 8.31% | 9.48% | 9.64% | 9.69% | 9.73% | 9.73% | 9.27% | 0.00% | 1.20 | 1.19 | 1.20 | 1.19 | 1.19 | 1.19 | 1.17 | 15224.00 | 2559.00 | 2359.00 | 2634.00 | 2590.00 | 2641.00 | 2441.00 | 0.00 | 183307.00 | 26982.00 | 24478.00 | 27189.00 | 26627.00 | 27153.00 | 26345.00 | 24533.00 | 0.12 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.00 | |
| 01_[Commercial associate] | 23.31% | 23.17% | 23.27% | 23.30% | 23.23% | 23.37% | 23.41% | 23.39% | 6.46% | 7.27% | 7.23% | 7.67% | 7.30% | 7.69% | 7.71% | 0.00% | 0.98 | 0.91 | 0.90 | 0.94 | 0.89 | 0.94 | 0.98 | 5360.00 | 883.00 | 798.00 | 940.00 | 867.00 | 948.00 | 924.00 | 0.00 | 83019.00 | 12148.00 | 11043.00 | 12255.00 | 11870.00 | 12321.00 | 11980.00 | 11402.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[Pensioner] | 18.15% | 17.99% | 18.22% | 18.00% | 17.71% | 18.12% | 18.02% | 19.03% | 4.61% | 5.59% | 5.20% | 5.55% | 5.31% | 5.39% | 5.26% | 0.00% | 0.70 | 0.70 | 0.65 | 0.68 | 0.65 | 0.66 | 0.67 | 2982.00 | 527.00 | 450.00 | 525.00 | 480.00 | 515.00 | 485.00 | 0.00 | 64635.00 | 9430.00 | 8647.00 | 9467.00 | 9047.00 | 9552.00 | 9219.00 | 9273.00 | 0.17 | 0.02 | 0.03 | 0.03 | 0.03 | 0.03 | 0.03 | 0.00 | ||
| 03_[State servant] | 7.08% | 7.37% | 6.93% | 7.00% | 6.94% | 7.01% | 7.09% | 7.25% | 4.95% | 5.67% | 5.90% | 5.29% | 6.63% | 5.79% | 5.30% | 0.00% | 0.81 | 0.71 | 0.74 | 0.65 | 0.81 | 0.71 | 0.67 | 1249.00 | 219.00 | 194.00 | 195.00 | 235.00 | 214.00 | 192.00 | 0.00 | 25235.00 | 3862.00 | 3290.00 | 3684.00 | 3545.00 | 3696.00 | 3626.00 | 3532.00 | 0.05 | 0.01 | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | ||
| NAME_EDUCATION_TYPE | 00_[Secondary / secondary special] | 70.88% | 71.05% | 71.27% | 70.94% | 71.16% | 71.00% | 70.95% | 69.79% | 7.74% | 8.98% | 8.84% | 8.97% | 9.07% | 9.00% | 8.77% | 0.00% | 1.12 | 1.12 | 1.10 | 1.10 | 1.11 | 1.10 | 1.11 | 19524.00 | 3343.00 | 2989.00 | 3344.00 | 3296.00 | 3369.00 | 3183.00 | 0.00 | 252379.00 | 37219.00 | 33810.00 | 37294.00 | 36345.00 | 37421.00 | 36302.00 | 33988.00 | 0.06 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.00 | |
| 01_[Higher education] | 24.54% | 24.43% | 24.24% | 24.35% | 24.32% | 24.38% | 24.42% | 25.70% | 4.59% | 4.99% | 5.09% | 5.73% | 5.30% | 5.75% | 5.24% | 0.00% | 0.70 | 0.62 | 0.63 | 0.70 | 0.65 | 0.70 | 0.66 | 4009.00 | 639.00 | 585.00 | 734.00 | 658.00 | 739.00 | 654.00 | 0.00 | 87379.00 | 12797.00 | 11500.00 | 12803.00 | 12422.00 | 12849.00 | 12492.00 | 12516.00 | 0.24 | 0.05 | 0.05 | 0.03 | 0.04 | 0.03 | 0.04 | 0.00 | ||
| 02_[Incomplete higher] | 3.37% | 3.27% | 3.22% | 3.44% | 3.37% | 3.35% | 3.39% | 3.54% | 7.27% | 8.06% | 9.69% | 8.23% | 8.78% | 8.37% | 7.94% | 0.00% | 1.21 | 1.01 | 1.21 | 1.01 | 1.08 | 1.02 | 1.01 | 872.00 | 138.00 | 148.00 | 149.00 | 151.00 | 148.00 | 138.00 | 0.00 | 12001.00 | 1713.00 | 1528.00 | 1811.00 | 1720.00 | 1768.00 | 1737.00 | 1724.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[Lower secondary] | 1.21% | 1.26% | 1.27% | 1.26% | 1.16% | 1.27% | 1.24% | 0.98% | 9.72% | 10.64% | 13.41% | 10.27% | 11.53% | 9.28% | 10.73% | 0.00% | 1.67 | 1.33 | 1.67 | 1.26 | 1.41 | 1.13 | 1.36 | 417.00 | 70.00 | 81.00 | 68.00 | 68.00 | 62.00 | 68.00 | 0.00 | 4291.00 | 658.00 | 604.00 | 662.00 | 590.00 | 668.00 | 634.00 | 475.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| OCCUPATION_TYPE | Missing | 41.50% | 41.52% | 41.73% | 41.60% | 41.09% | 41.61% | 41.09% | 41.87% | 5.61% | 6.47% | 6.31% | 6.73% | 6.55% | 6.68% | 6.30% | 0.00% | 0.82 | 0.81 | 0.79 | 0.82 | 0.80 | 0.82 | 0.80 | 6278.00 | 1063.00 | 947.00 | 1115.00 | 1043.00 | 1109.00 | 1001.00 | 0.00 | 111996.00 | 16424.00 | 15009.00 | 16556.00 | 15913.00 | 16592.00 | 15897.00 | 15605.00 | 0.09 | 0.01 | 0.02 | 0.01 | 0.02 | 0.01 | 0.02 | 0.00 | |
| 00_[Laborers] | 23.65% | 23.53% | 24.06% | 23.51% | 23.85% | 23.74% | 23.68% | 23.22% | 9.14% | 10.52% | 10.33% | 11.14% | 10.24% | 10.70% | 10.51% | 0.00% | 1.36 | 1.32 | 1.29 | 1.36 | 1.25 | 1.31 | 1.33 | 5838.00 | 979.00 | 894.00 | 1043.00 | 946.00 | 1013.00 | 963.00 | 0.00 | 63841.00 | 9309.00 | 8652.00 | 9359.00 | 9237.00 | 9468.00 | 9161.00 | 8655.00 | 0.11 | 0.02 | 0.02 | 0.02 | 0.01 | 0.02 | 0.02 | 0.00 | ||
| 01_[Sales staff] | 13.77% | 13.98% | 13.66% | 13.72% | 13.93% | 13.50% | 14.01% | 13.61% | 8.32% | 9.58% | 9.87% | 9.78% | 9.88% | 9.20% | 9.50% | 0.00% | 1.23 | 1.20 | 1.23 | 1.20 | 1.21 | 1.12 | 1.20 | 3092.00 | 530.00 | 485.00 | 534.00 | 533.00 | 495.00 | 515.00 | 0.00 | 37174.00 | 5530.00 | 4912.00 | 5461.00 | 5396.00 | 5383.00 | 5420.00 | 5072.00 | 0.03 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | ||
| 02_[Core staff] | 11.83% | 11.76% | 11.43% | 11.94% | 11.81% | 12.06% | 12.08% | 11.70% | 5.44% | 6.08% | 6.40% | 6.15% | 6.14% | 6.49% | 6.57% | 0.00% | 0.83 | 0.76 | 0.80 | 0.75 | 0.75 | 0.79 | 0.83 | 1738.00 | 283.00 | 263.00 | 292.00 | 281.00 | 312.00 | 307.00 | 0.00 | 31931.00 | 4653.00 | 4110.00 | 4751.00 | 4574.00 | 4809.00 | 4673.00 | 4361.00 | 0.03 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | ||
| 03_[Managers] | 9.24% | 9.21% | 9.12% | 9.23% | 9.32% | 9.09% | 9.15% | 9.59% | 5.32% | 5.93% | 7.04% | 5.66% | 6.09% | 6.71% | 5.93% | 0.00% | 0.88 | 0.74 | 0.88 | 0.69 | 0.75 | 0.82 | 0.75 | 1328.00 | 216.00 | 231.00 | 208.00 | 220.00 | 243.00 | 210.00 | 0.00 | 24945.00 | 3644.00 | 3280.00 | 3674.00 | 3610.00 | 3624.00 | 3539.00 | 3574.00 | 0.03 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | ||
| AMT_GOODS_PRICE | Missing | 0.08% | 0.09% | 0.09% | 0.09% | 0.08% | 0.09% | 0.09% | 7.55% | 4.17% | 4.44% | 10.64% | 9.30% | 8.33% | 8.51% | 1.30 | 0.52 | 0.55 | 1.30 | 1.14 | 1.02 | 1.08 | 21.00 | 2.00 | 2.00 | 5.00 | 4.00 | 4.00 | 4.00 | 278.00 | 48.00 | 45.00 | 47.00 | 43.00 | 48.00 | 47.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||||||
| 00_[-inf, 238,500) | 25.08% | 24.60% | 24.64% | 24.45% | 24.23% | 24.46% | 24.32% | 29.10% | 6.73% | 8.16% | 8.17% | 7.94% | 8.17% | 7.86% | 7.68% | 0.00% | 1.02 | 1.02 | 1.02 | 0.97 | 1.00 | 0.96 | 0.97 | 6012.00 | 1053.00 | 956.00 | 1021.00 | 1012.00 | 1014.00 | 956.00 | 0.00 | 89364.00 | 12898.00 | 11695.00 | 12863.00 | 12382.00 | 12897.00 | 12446.00 | 14183.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 01_[238,500, 450,000) | 19.08% | 18.40% | 18.46% | 18.57% | 18.57% | 18.38% | 18.41% | 23.00% | 7.82% | 9.30% | 9.05% | 9.59% | 9.44% | 9.75% | 8.99% | 0.00% | 1.19 | 1.16 | 1.13 | 1.17 | 1.16 | 1.19 | 1.14 | 5315.00 | 897.00 | 793.00 | 937.00 | 896.00 | 945.00 | 847.00 | 0.00 | 67989.00 | 9646.00 | 8761.00 | 9767.00 | 9489.00 | 9692.00 | 9421.00 | 11213.00 | 0.03 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | ||
| 02_[450,000, 679,500) | 31.02% | 30.66% | 30.56% | 30.84% | 31.13% | 30.95% | 31.05% | 31.96% | 8.05% | 9.19% | 9.29% | 9.54% | 9.40% | 9.39% | 9.44% | 0.00% | 1.19 | 1.15 | 1.16 | 1.17 | 1.15 | 1.15 | 1.19 | 8900.00 | 1477.00 | 1348.00 | 1547.00 | 1495.00 | 1533.00 | 1500.00 | 0.00 | 110498.00 | 16073.00 | 14504.00 | 16221.00 | 15907.00 | 16323.00 | 15890.00 | 15580.00 | 0.05 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.00 | ||
| 03_[679,500, inf) | 24.74% | 26.25% | 26.25% | 26.05% | 25.98% | 26.12% | 26.14% | 15.94% | 5.19% | 5.53% | 5.66% | 5.73% | 5.77% | 5.97% | 5.51% | 0.00% | 0.73 | 0.69 | 0.71 | 0.70 | 0.71 | 0.73 | 0.70 | 4577.00 | 761.00 | 705.00 | 785.00 | 766.00 | 823.00 | 737.00 | 0.00 | 88126.00 | 13763.00 | 12460.00 | 13703.00 | 13278.00 | 13775.00 | 13379.00 | 7768.00 | 0.19 | 0.03 | 0.03 | 0.03 | 0.03 | 0.03 | 0.03 | 0.00 | ||
| CODE_GENDER | 00_[F] | 66.00% | 65.77% | 65.64% | 65.73% | 65.67% | 66.01% | 66.17% | 67.04% | 6.03% | 6.78% | 7.02% | 7.09% | 7.16% | 7.10% | 6.84% | 0.00% | 0.88 | 0.85 | 0.88 | 0.87 | 0.88 | 0.87 | 0.87 | 14170.00 | 2339.00 | 2186.00 | 2453.00 | 2402.00 | 2473.00 | 2317.00 | 0.00 | 235126.00 | 34481.00 | 31155.00 | 34574.00 | 33559.00 | 34810.00 | 33869.00 | 32678.00 | 0.09 | 0.02 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.00 | |
| 01_[M] | 14.47% | 34.36% | 33.99% | 33.83% | 10.07% | 9.92% | 10.30% | 9.98% | 1.26 | 1.24 | 1.26 | 1.26 | 5191.00 | 1618.00 | 1846.00 | 1727.00 | 51545.00 | 16309.00 | 17923.00 | 17313.00 | 0.07 | 0.02 | 0.02 | 0.02 | |||||||||||||||||||||||||
| 01_[M] | 19.53% | 34.23% | 34.27% | 34.33% | 32.96% | 7.85% | 10.31% | 10.22% | 10.10% | 0.00% | 1.29 | 1.29 | 1.25 | 1.24 | 5464.00 | 1851.00 | 1842.00 | 1771.00 | 0.00 | 69580.00 | 17947.00 | 18027.00 | 17540.00 | 16066.00 | 0.07 | 0.03 | 0.02 | 0.02 | 0.00 | ||||||||||||||||||||
| 02_[XNA] | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | 1.00 | 2.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||||||||||||||||||||||||
| DAYS_ID_PUBLISH | 00_[-inf, -4299) | 25.69% | 24.89% | 25.10% | 25.00% | 25.01% | 25.07% | 24.74% | 30.27% | 5.13% | 6.27% | 6.07% | 6.11% | 6.46% | 6.12% | 5.68% | 0.00% | 0.79 | 0.78 | 0.76 | 0.75 | 0.79 | 0.75 | 0.72 | 4698.00 | 818.00 | 723.00 | 804.00 | 825.00 | 809.00 | 719.00 | 0.00 | 91526.00 | 13048.00 | 11914.00 | 13151.00 | 12778.00 | 13219.00 | 12662.00 | 14754.00 | 0.12 | 0.02 | 0.02 | 0.02 | 0.01 | 0.02 | 0.03 | 0.00 | |
| 01_[-4299, -3257) | 24.21% | 25.16% | 25.02% | 24.62% | 25.12% | 24.89% | 25.07% | 19.34% | 6.69% | 7.10% | 7.53% | 7.73% | 7.57% | 7.66% | 7.51% | 0.00% | 0.95 | 0.89 | 0.94 | 0.95 | 0.93 | 0.93 | 0.95 | 5772.00 | 937.00 | 894.00 | 1001.00 | 971.00 | 1005.00 | 964.00 | 0.00 | 86239.00 | 13190.00 | 11875.00 | 12950.00 | 12834.00 | 13127.00 | 12834.00 | 9429.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[-3257, -1721) | 25.04% | 25.04% | 24.72% | 25.38% | 24.85% | 25.03% | 25.11% | 25.09% | 7.54% | 8.71% | 8.63% | 8.92% | 8.88% | 8.70% | 8.57% | 0.00% | 1.09 | 1.09 | 1.08 | 1.09 | 1.09 | 1.06 | 1.08 | 6723.00 | 1144.00 | 1012.00 | 1191.00 | 1127.00 | 1148.00 | 1101.00 | 0.00 | 89191.00 | 13129.00 | 11733.00 | 13348.00 | 12697.00 | 13201.00 | 12853.00 | 12230.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[-1721, inf) | 25.07% | 24.91% | 25.16% | 25.00% | 25.03% | 25.01% | 25.07% | 25.30% | 8.55% | 9.88% | 9.84% | 9.88% | 9.77% | 10.29% | 9.82% | 0.00% | 1.26 | 1.24 | 1.23 | 1.21 | 1.20 | 1.26 | 1.24 | 7632.00 | 1291.00 | 1175.00 | 1299.00 | 1250.00 | 1357.00 | 1260.00 | 0.00 | 89299.00 | 13061.00 | 11943.00 | 13152.00 | 12790.00 | 13188.00 | 12834.00 | 12331.00 | 0.08 | 0.01 | 0.01 | 0.01 | 0.01 | 0.02 | 0.02 | 0.00 | ||
| DAYS_REGISTRATION | 00_[-inf, -7472) | 25.03% | 25.04% | 24.96% | 25.00% | 24.98% | 25.19% | 25.10% | 24.92% | 5.44% | 5.84% | 6.53% | 6.68% | 6.25% | 6.33% | 6.16% | 0.00% | 0.82 | 0.73 | 0.81 | 0.82 | 0.77 | 0.77 | 0.78 | 4849.00 | 767.00 | 773.00 | 878.00 | 798.00 | 841.00 | 792.00 | 0.00 | 89170.00 | 13130.00 | 11846.00 | 13151.00 | 12763.00 | 13283.00 | 12848.00 | 12149.00 | 0.10 | 0.02 | 0.01 | 0.01 | 0.02 | 0.02 | 0.02 | 0.00 | |
| 01_[-7472, -4503) | 24.95% | 24.79% | 25.08% | 25.03% | 25.05% | 24.91% | 24.91% | 24.93% | 7.03% | 7.77% | 7.87% | 8.12% | 8.37% | 8.63% | 8.06% | 0.00% | 1.05 | 0.97 | 0.98 | 0.99 | 1.02 | 1.05 | 1.02 | 6249.00 | 1010.00 | 937.00 | 1069.00 | 1071.00 | 1134.00 | 1028.00 | 0.00 | 88898.00 | 12995.00 | 11906.00 | 13165.00 | 12798.00 | 13135.00 | 12749.00 | 12150.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[-4503, -2008) | 24.89% | 24.99% | 25.21% | 24.88% | 24.90% | 25.03% | 25.03% | 24.17% | 7.57% | 8.89% | 8.61% | 8.98% | 8.77% | 8.59% | 8.54% | 0.00% | 1.11 | 1.11 | 1.07 | 1.10 | 1.07 | 1.05 | 1.08 | 6715.00 | 1165.00 | 1030.00 | 1176.00 | 1116.00 | 1134.00 | 1094.00 | 0.00 | 88670.00 | 13101.00 | 11965.00 | 13089.00 | 12725.00 | 13202.00 | 12809.00 | 11779.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[-2008, inf) | 25.13% | 25.18% | 24.75% | 25.09% | 25.07% | 24.87% | 24.96% | 25.98% | 7.83% | 9.45% | 9.06% | 8.88% | 9.27% | 9.23% | 8.84% | 0.00% | 1.18 | 1.18 | 1.13 | 1.09 | 1.14 | 1.13 | 1.12 | 7012.00 | 1248.00 | 1064.00 | 1172.00 | 1188.00 | 1210.00 | 1130.00 | 0.00 | 89517.00 | 13202.00 | 11748.00 | 13196.00 | 12813.00 | 13115.00 | 12777.00 | 12666.00 | 0.03 | 0.01 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | ||
| AMT_ANNUITY | Missing | 0.01% | 0.01% | 0.00% | 0.00% | 0.00% | 0.00% | 0.01% | 0.05% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 36.00 | 3.00 | 2.00 | 1.00 | 1.00 | 2.00 | 3.00 | 24.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 00_[-inf, 16,515) | 24.32% | 24.99% | 25.02% | 24.91% | 24.93% | 24.97% | 24.95% | 20.27% | 6.26% | 6.98% | 6.78% | 7.07% | 7.12% | 7.19% | 7.20% | 0.00% | 0.91 | 0.87 | 0.85 | 0.87 | 0.87 | 0.88 | 0.91 | 5420.00 | 915.00 | 805.00 | 927.00 | 907.00 | 947.00 | 919.00 | 0.00 | 86637.00 | 13102.00 | 11874.00 | 13103.00 | 12739.00 | 13169.00 | 12768.00 | 9882.00 | 0.03 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | ||
| 01_[16,515, 24,885) | 25.05% | 25.20% | 25.05% | 25.09% | 24.81% | 24.68% | 24.94% | 25.63% | 7.51% | 8.96% | 8.99% | 8.97% | 8.75% | 8.35% | 8.38% | 0.00% | 1.12 | 1.12 | 1.12 | 1.10 | 1.07 | 1.02 | 1.06 | 6702.00 | 1184.00 | 1069.00 | 1184.00 | 1109.00 | 1087.00 | 1069.00 | 0.00 | 89252.00 | 13210.00 | 11891.00 | 13199.00 | 12677.00 | 13016.00 | 12764.00 | 12495.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[24,885, 34,609.5) | 25.04% | 24.93% | 24.91% | 25.16% | 25.02% | 25.53% | 25.15% | 24.53% | 8.01% | 8.80% | 9.42% | 9.22% | 9.29% | 9.89% | 8.86% | 0.00% | 1.21 | 1.10 | 1.18 | 1.13 | 1.14 | 1.21 | 1.12 | 7145.00 | 1150.00 | 1114.00 | 1221.00 | 1188.00 | 1332.00 | 1140.00 | 0.00 | 89208.00 | 13070.00 | 11823.00 | 13237.00 | 12787.00 | 13463.00 | 12873.00 | 11955.00 | 0.04 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | 0.00 | ||
| 03_[34,609.5, inf) | 25.58% | 24.88% | 25.02% | 24.83% | 25.24% | 24.81% | 24.96% | 29.52% | 6.10% | 7.21% | 6.87% | 7.37% | 7.51% | 7.28% | 7.17% | 0.00% | 0.92 | 0.90 | 0.86 | 0.90 | 0.92 | 0.89 | 0.91 | 5558.00 | 941.00 | 816.00 | 963.00 | 969.00 | 953.00 | 916.00 | 0.00 | 91122.00 | 13043.00 | 11875.00 | 13061.00 | 12895.00 | 13085.00 | 12775.00 | 14388.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| REGION_POPULATION_RELATIVE | 00_[-inf, 0.01) | 24.20% | 24.44% | 24.27% | 24.08% | 24.31% | 23.95% | 24.44% | 23.90% | 7.56% | 8.87% | 8.69% | 8.72% | 9.04% | 8.75% | 8.40% | 0.00% | 1.11 | 1.11 | 1.08 | 1.07 | 1.11 | 1.07 | 1.06 | 6520.00 | 1136.00 | 1001.00 | 1104.00 | 1123.00 | 1105.00 | 1051.00 | 0.00 | 86211.00 | 12814.00 | 11521.00 | 12666.00 | 12421.00 | 12632.00 | 12507.00 | 11650.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 01_[0.01, 0.0188) | 24.42% | 24.47% | 23.99% | 24.26% | 24.29% | 24.77% | 24.37% | 24.78% | 7.56% | 8.46% | 8.98% | 8.78% | 8.55% | 9.09% | 8.80% | 0.00% | 1.12 | 1.06 | 1.12 | 1.07 | 1.05 | 1.11 | 1.11 | 6575.00 | 1085.00 | 1023.00 | 1120.00 | 1061.00 | 1188.00 | 1098.00 | 0.00 | 87007.00 | 12827.00 | 11388.00 | 12762.00 | 12414.00 | 13065.00 | 12472.00 | 12079.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[0.0188, 0.0287) | 25.39% | 25.57% | 25.65% | 25.45% | 25.26% | 25.54% | 25.67% | 24.53% | 7.16% | 8.22% | 8.13% | 8.58% | 8.36% | 8.36% | 7.81% | 0.00% | 1.05 | 1.03 | 1.01 | 1.05 | 1.02 | 1.02 | 0.99 | 6472.00 | 1102.00 | 990.00 | 1149.00 | 1079.00 | 1126.00 | 1026.00 | 0.00 | 90440.00 | 13407.00 | 12175.00 | 13387.00 | 12909.00 | 13466.00 | 13139.00 | 11957.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[0.0287, inf) | 25.99% | 25.52% | 26.08% | 26.21% | 26.14% | 25.74% | 25.53% | 26.79% | 5.68% | 6.48% | 6.38% | 6.69% | 6.81% | 6.63% | 6.65% | 0.00% | 0.84 | 0.81 | 0.80 | 0.82 | 0.83 | 0.81 | 0.84 | 5258.00 | 867.00 | 790.00 | 922.00 | 910.00 | 900.00 | 869.00 | 0.00 | 92597.00 | 13380.00 | 12381.00 | 13786.00 | 13355.00 | 13572.00 | 13065.00 | 13058.00 | 0.07 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.00 | ||
| NAME_CONTRACT_TYPE | 00_[Cash loans] | 91.66% | 90.39% | 90.56% | 90.40% | 90.49% | 90.47% | 90.57% | 99.10% | 7.11% | 8.33% | 8.27% | 8.41% | 8.43% | 8.44% | 8.18% | 0.00% | 1.04 | 1.04 | 1.03 | 1.03 | 1.03 | 1.03 | 1.04 | 23221.00 | 3948.00 | 3556.00 | 4001.00 | 3896.00 | 4028.00 | 3792.00 | 0.00 | 326537.00 | 47389.00 | 42983.00 | 47550.00 | 46241.00 | 47711.00 | 46358.00 | 48305.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 01_[Revolving loans] | 8.34% | 9.61% | 9.44% | 9.60% | 9.51% | 9.53% | 9.43% | 0.90% | 5.40% | 4.80% | 5.53% | 5.82% | 5.70% | 5.79% | 5.22% | 0.00% | 0.71 | 0.60 | 0.69 | 0.71 | 0.70 | 0.71 | 0.66 | 1604.00 | 242.00 | 248.00 | 294.00 | 277.00 | 291.00 | 252.00 | 0.00 | 29718.00 | 5039.00 | 4482.00 | 5051.00 | 4858.00 | 5024.00 | 4825.00 | 439.00 | 0.08 | 0.02 | 0.01 | 0.01 | 0.01 | 0.01 | 0.02 | 0.00 | ||
| AMT_INCOME_TOTAL | 00_[-inf, 112,500) | 21.94% | 22.70% | 22.51% | 22.45% | 22.65% | 22.86% | 22.54% | 17.65% | 7.32% | 8.07% | 8.52% | 8.34% | 8.34% | 7.96% | 8.18% | 0.00% | 1.06 | 1.01 | 1.06 | 1.02 | 1.02 | 0.97 | 1.04 | 5723.00 | 960.00 | 910.00 | 985.00 | 965.00 | 959.00 | 944.00 | 0.00 | 78163.00 | 11902.00 | 10685.00 | 11807.00 | 11576.00 | 12054.00 | 11535.00 | 8604.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 01_[112,500, 146,250) | 27.27% | 27.22% | 27.52% | 27.57% | 27.31% | 27.02% | 27.51% | 26.70% | 7.46% | 8.49% | 8.66% | 8.54% | 8.86% | 8.67% | 8.46% | 0.00% | 1.08 | 1.06 | 1.08 | 1.05 | 1.08 | 1.06 | 1.07 | 7245.00 | 1212.00 | 1131.00 | 1239.00 | 1236.00 | 1235.00 | 1192.00 | 0.00 | 97136.00 | 14270.00 | 13062.00 | 14503.00 | 13953.00 | 14250.00 | 14083.00 | 13015.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[146,250, 202,500) | 21.60% | 21.30% | 21.53% | 21.41% | 21.62% | 21.55% | 21.27% | 22.60% | 7.26% | 8.40% | 8.71% | 8.59% | 8.38% | 8.69% | 8.07% | 0.00% | 1.09 | 1.05 | 1.09 | 1.05 | 1.03 | 1.06 | 1.02 | 5587.00 | 938.00 | 890.00 | 967.00 | 926.00 | 987.00 | 879.00 | 0.00 | 76967.00 | 11169.00 | 10219.00 | 11263.00 | 11048.00 | 11364.00 | 10889.00 | 11015.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 03_[202,500, inf) | 29.19% | 28.78% | 28.44% | 28.57% | 28.42% | 28.57% | 28.67% | 33.05% | 6.03% | 7.16% | 6.47% | 7.35% | 7.20% | 7.55% | 7.01% | 0.00% | 0.92 | 0.90 | 0.81 | 0.90 | 0.88 | 0.92 | 0.89 | 6270.00 | 1080.00 | 873.00 | 1104.00 | 1046.00 | 1138.00 | 1029.00 | 0.00 | 103989.00 | 15087.00 | 13499.00 | 15028.00 | 14522.00 | 15067.00 | 14676.00 | 16110.00 | 0.03 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| FLAG_OWN_CAR | 00_[N] | 66.03% | 65.85% | 65.95% | 65.91% | 65.78% | 66.28% | 66.15% | 66.29% | 7.33% | 8.39% | 8.44% | 8.54% | 8.63% | 8.63% | 8.37% | 0.00% | 1.06 | 1.05 | 1.05 | 1.05 | 1.06 | 1.05 | 1.06 | 17249.00 | 2896.00 | 2641.00 | 2961.00 | 2901.00 | 3015.00 | 2835.00 | 0.00 | 235235.00 | 34525.00 | 31301.00 | 34669.00 | 33614.00 | 34955.00 | 33860.00 | 32311.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 01_[Y] | 33.97% | 34.15% | 34.05% | 34.09% | 34.22% | 33.72% | 33.85% | 33.71% | 6.26% | 7.23% | 7.20% | 7.44% | 7.27% | 7.33% | 6.98% | 0.00% | 0.91 | 0.90 | 0.90 | 0.91 | 0.89 | 0.90 | 0.88 | 7576.00 | 1294.00 | 1163.00 | 1334.00 | 1272.00 | 1304.00 | 1209.00 | 0.00 | 121020.00 | 17903.00 | 16164.00 | 17932.00 | 17485.00 | 17780.00 | 17323.00 | 16433.00 | 0.03 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | ||
| CNT_CHILDREN | 01_[0, 1) | 70.19% | 70.04% | 70.23% | 69.98% | 69.65% | 70.04% | 70.29% | 71.16% | 6.64% | 7.63% | 7.67% | 7.82% | 7.86% | 7.69% | 7.59% | 0.00% | 0.96 | 0.96 | 0.96 | 0.96 | 0.96 | 0.94 | 0.96 | 16609.00 | 2803.00 | 2557.00 | 2879.00 | 2797.00 | 2842.00 | 2731.00 | 0.00 | 250056.00 | 36723.00 | 33334.00 | 36809.00 | 35590.00 | 36936.00 | 35979.00 | 34685.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 02_[1, inf) | 29.81% | 29.96% | 29.77% | 30.02% | 30.35% | 29.96% | 29.71% | 28.84% | 7.74% | 8.83% | 8.82% | 8.97% | 8.87% | 9.35% | 8.64% | 0.00% | 1.14 | 1.11 | 1.10 | 1.10 | 1.09 | 1.14 | 1.09 | 8216.00 | 1387.00 | 1247.00 | 1416.00 | 1376.00 | 1477.00 | 1313.00 | 0.00 | 106199.00 | 15705.00 | 14131.00 | 15792.00 | 15509.00 | 15799.00 | 15204.00 | 14059.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | ||
| CNT_FAM_MEMBERS | Missing | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.00 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 | ||||||||||||||||||||||||||||||
| 00_[-inf, 2) | 21.92% | 21.97% | 22.35% | 22.16% | 21.63% | 22.20% | 22.09% | 21.03% | 7.27% | 8.30% | 8.11% | 8.53% | 8.59% | 8.44% | 8.20% | 0.00% | 1.05 | 1.04 | 1.01 | 1.04 | 1.05 | 1.03 | 1.04 | 5675.00 | 956.00 | 861.00 | 994.00 | 949.00 | 988.00 | 927.00 | 0.00 | 78098.00 | 11521.00 | 10610.00 | 11654.00 | 11052.00 | 11706.00 | 11304.00 | 10251.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 01_[2, 3) | 51.76% | 51.62% | 51.33% | 51.31% | 51.64% | 51.35% | 51.72% | 53.45% | 6.51% | 7.48% | 7.63% | 7.64% | 7.70% | 7.54% | 7.50% | 0.00% | 0.95 | 0.94 | 0.95 | 0.94 | 0.94 | 0.92 | 0.95 | 12009.00 | 2025.00 | 1860.00 | 2063.00 | 2032.00 | 2043.00 | 1986.00 | 0.00 | 184411.00 | 27061.00 | 24365.00 | 26992.00 | 26387.00 | 27081.00 | 26471.00 | 26054.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 02_[3, inf) | 26.31% | 26.41% | 26.31% | 26.53% | 26.73% | 26.45% | 26.20% | 25.52% | 7.62% | 8.73% | 8.67% | 8.87% | 8.73% | 9.23% | 8.44% | 0.00% | 1.13 | 1.09 | 1.08 | 1.09 | 1.07 | 1.13 | 1.07 | 7141.00 | 1209.00 | 1083.00 | 1238.00 | 1192.00 | 1288.00 | 1131.00 | 0.00 | 93744.00 | 13846.00 | 12489.00 | 13954.00 | 13660.00 | 13948.00 | 13408.00 | 12439.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| FLAG_OWN_REALTY | 00_[Y] | 69.32% | 69.34% | 69.18% | 69.12% | 69.58% | 69.55% | 69.43% | 69.05% | 6.88% | 7.93% | 7.89% | 8.07% | 8.04% | 8.17% | 7.67% | 0.00% | 1.00 | 0.99 | 0.98 | 0.99 | 0.98 | 1.00 | 0.97 | 16983.00 | 2882.00 | 2590.00 | 2933.00 | 2858.00 | 2995.00 | 2725.00 | 0.00 | 246970.00 | 36353.00 | 32835.00 | 36356.00 | 35555.00 | 36675.00 | 35538.00 | 33658.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 01_[N] | 30.68% | 30.66% | 30.82% | 30.88% | 30.42% | 30.45% | 30.57% | 30.95% | 7.18% | 8.14% | 8.30% | 8.38% | 8.46% | 8.24% | 8.43% | 0.00% | 1.07 | 1.02 | 1.04 | 1.03 | 1.04 | 1.01 | 1.07 | 7842.00 | 1308.00 | 1214.00 | 1362.00 | 1315.00 | 1324.00 | 1319.00 | 0.00 | 109285.00 | 16075.00 | 14630.00 | 16245.00 | 15544.00 | 16060.00 | 15645.00 | 15086.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||