[Home Credit Default Risk] Automated Feature Engineering Basics

August 27, 2022 236 분 소요

[공지사항] “출처: https://www.kaggle.com/code/jundthird/kor-automated-feature-engineering-basics”

Introduction: Automated Feature Engineering Basics

이 노트북에서는 featuretools 라이브러리를 사용하여 Home Credit Default Risk 데이터 세트에 automated feature engineering을 적용하는 방법을 안내합니다. Featuretools는 structured, related 데이터의 여러 테이블에서 새 feature을 자동으로 생성하기 위한 오픈 소스 Python 패키지입니다. training을 위해 하나의 데이터 프레임으로 합쳐야 하는 여러 관련 테이블이 있는 Home Credit Default Risk competition과 같은 문제에 이상적인 도구입니다.

Feature Engineering

feature engineering의 목적은 하나의 테이블에 전체 데이터 세트의 많은 정보를 나타내는 새로운 feature(explanatory variables 또는 predictors라고도 함)을 만드는 것입니다. 일반적으로 이 프로세스는 groupby, agg 또는 merge와 같은 pandas 작업을 사용하여 수동으로 수행되며 매우 지루할 수 있습니다. 게다가, manual feature engineering은 인간의 시간 제약과 상상력에 의해 제한됩니다. 우리는 유용할 모든 가능한 feature을 생각해낼 수 없습니다. (manual feature engineering을 사용하는 예는 이 competitioni에 적용한 part one과 part two를 확인하세요) 머신 러닝 모델은 우리가 제공하는 데이터에서만 학습할 수 있기 때문에 적절한 feature을 생성하는 것의 중요성은 아무리 강조해도 지나치지 않습니다. 사용 가능한 데이터 세트에서 최대한 많은 정보를 추출하는 것은 효과적인 솔루션을 만드는 데 중요합니다.

Automated feature engineering은 데이터 세트에서 수백 또는 수천 개의 새로운 feature을 자동으로 구축하여 feature 생성 문제를 해결하여 data scientist를 돕는 것을 목표로 합니다. 현재로서는 automated feature engineering을 위한 유일한 라이브러리인 Featuretools는 data scientist를 대체하지 않지만 강력한 모델을 production에 제공하는 것과 같은 machine learning pipeline의 더 중요한 부분에 집중할 수 있습니다.

여기에서는 featuretools를 사용한 automated feature engineering의 개념에 대해 설명하고 Home Credit Default Risk competition에서 이를 구현하는 방법을 보여줍니다. 여기서는 기본 사항을 고수하여 아이디어를 얻은 다음 나중에 featuretools를 커스터마이징할 때, 이 토대를 구축할 것입니다. 이 작업은 Kaggle 커널의 능력 범위을 벗어나는 계산이 많이 필요한 작업이기 때문에 데이터의 subset으로 작업합니다. 이 노트북에서는 위의 작업을 수행하고 전체 데이터 세트로 부터 얻은 결과를 통해 methods를 수행했습니다. 이 노트북의 끝에서 우리는 feature 자체와 수동 설계한 feature과 자동으로 구축된 feature의 다양한 조합으로 모델링한 결과를 살펴볼 것입니다.

만약 이 competition이 처음이라면, 이 노트북을 먼저 보는 것을 추천합니다.

# !pip install featuretools

import pandas as pd
import numpy as np
import featuretools as ft
import matplotlib.pyplot as plt
plt.rcParams["font.size"] = 22
import seaborn as sns
import warnings
warnings.filterwarnings("ignore")

Problem

The Home Credit Default Risk competition은 supervised classification machine learning task입니다. 목표는 과거 재정 및 사회경제적 데이터를 사용하여 신청자가 대출을 상환할 수 있는지 여부를 예측하는 것입니다. 이것은 standard supervised classificatdion tast입니다.

Dataset

데이터는 은행이 없는 인구에게 제공되는 신용 한도(대출) 전용 서비스인 Home Credit에서 제공합니다.

7개의 데이터가 있습니다:

application_train/application_test: 각 대출 신청 정보가 담겨 있는 메인 train, test 데이터. 모든 대출건은 각각 자기의 행을 가지고 있고 SK_ID_CURR feature에 의해 식별됩니다. TARGET 값의 0은 상환되었다는 의미이고, 1은 아직 상환되지 않았다는 의미입니다.
bureau: 다른 금융 기관에서의 고객들의 이전 신용에 관한 데이터. 각 이전 신용은 bureau에서 자기의 행을 가지고 있지만, 신청 데이터에 관한 하나의 대출은 여러개의 이전 신용 정보들을 가지고 있을 수 있습니다.
bureau_balance: bureau에서의 이전 신용 정보에 대한 월간 데이터. 각 행은 이전 신용 정보의 한달치이며, 이전 신용정보는 신용기간이 만료되는 각 월에 대한 여러개의 행을 가질 수 있다.
previous_application: 신청 데이터에서 대출이 있는 고객들의 Home Credit에서의 이전 대출 신청 정보. 신청 데이터에서의 각 현재 대출 정보는 여러개의 이전 대출 정보를 가질 수 있다. 각각의 이전 신청 정보는 한 행을 가지고 SK_ID_PREV feature을 통해 식별된다.
POS_CASH_BALANCE: 고객들이 Home Credit을 통해 가지고 있던 이전 판매 시점 혹은 현금 대출에 대한 월별 데이터. 각 행은 이전 판매 시점 혹은 현금 대출 정보의 한달치이며, 하나의 이전 대출 정보는 여러개의 행을 가질 수 있다.
credit_card_balance: Home Credit을 통해 고객들이 가지고 있는 이전 신용 카드에 대한 월별 데이터. 각 행은 한 달 동안의 신용카드 잔액이며, 각 신용 카드는 여러개의 행을 가질 수 있습니다.
installments_payment: Home Credit에서 이전 대출에 대한 지불 내역. 결제할 때 마다 행이 하나씩 있고, 결제가 누락될 때마다 행이 하나씩 있습니다.

아래 다이어그램(Home Credit 제공)은 테이블이 어떻게 관련되어 있는지 보여줍니다. 이 그림은 featuretools에서 관계를 정의해야 할 때 매우 유용합니다.

Read in Data and Create Small Datasets

전체 데이터 세트를 읽고 SK_ID_CURR로 정렬하고 처음 1000개 행만 유지하여 계산이 가능하도록 합니다. 나중에 script로 변환하고 전체 데이터 세트로 실행할 수 있습니다.

app_train = pd.read_csv('./home_credit/application_train.csv').sort_values('SK_ID_CURR').reset_index(drop=True).loc[:1000, :]
app_test = pd.read_csv('./home_credit/application_test.csv').sort_values('SK_ID_CURR').reset_index(drop=True).loc[:1000, :]
bureau = pd.read_csv('./home_credit/bureau.csv').sort_values(['SK_ID_CURR', 'SK_ID_BUREAU']).reset_index(drop=True).loc[:1000, :]
bureau_balance = pd.read_csv('./home_credit/bureau_balance.csv').sort_values('SK_ID_BUREAU').reset_index(drop=True).loc[:1000, :]
cash = pd.read_csv('./home_credit/POS_CASH_balance.csv').sort_values(['SK_ID_CURR', 'SK_ID_PREV']).reset_index(drop=True).loc[:1000, :]
credit = pd.read_csv('./home_credit/credit_card_balance.csv').sort_values(['SK_ID_CURR', 'SK_ID_PREV']).reset_index(drop=True).loc[:1000, :]
previous = pd.read_csv('./home_credit/previous_application.csv').sort_values(['SK_ID_CURR', 'SK_ID_PREV']).reset_index(drop=True).loc[:1000, :]
installments = pd.read_csv('./home_credit/installments_payments.csv').sort_values(['SK_ID_CURR', 'SK_ID_PREV']).reset_index(drop=True).loc[:1000, :]

우리는 train과 test 세트를 함께 결합하지만 세트를 식별하는 별도의 열을 추가합니다. 이는 각 데이터 세트에 동일한 정확한 절차를 적용할 것이기 때문에 중요합니다. 두 데이터 세트를 함께 결합하고 단일 데이터 프레임으로 처리하는 것이 가장 안전 방법입니다.

app_train['set'] = 'train'
app_test['set'] = 'test'
app_test["TARGET"] = np.nan
app = app_train.append(app_test, ignore_index=True)
app.sample(10)

	SK_ID_CURR	TARGET	NAME_CONTRACT_TYPE	CODE_GENDER	FLAG_OWN_CAR	FLAG_OWN_REALTY	AMT_INCOME_TOTAL	AMT_CREDIT	AMT_ANNUITY	...	AMT_REQ_CREDIT_BUREAU_HOUR	AMT_REQ_CREDIT_BUREAU_DAY	AMT_REQ_CREDIT_BUREAU_WEEK	AMT_REQ_CREDIT_BUREAU_MON	AMT_REQ_CREDIT_BUREAU_QRT	AMT_REQ_CREDIT_BUREAU_YEAR	set
676	100782	0.0	Cash loans	M	N	N	225000.0	1017000.0	29866.5	...	0.0	0.0	0.0	1.0	0.0	5.0	train
136	100158	0.0	Cash loans	M	N	N	180000.0	590337.0	27486.0	...	0.0	0.0	0.0	0.0	0.0	1.0	train
1829	105735	NaN	Cash loans	F	N	Y	112500.0	558706.5	43366.5	...	0.0	0.0	0.0	0.0	0.0	2.0	test
1100	100762	NaN	Cash loans	F	N	N	180000.0	225000.0	20637.0	...	0.0	0.0	0.0	0.0	0.0	1.0	test
355	100409	0.0	Cash loans	M	N	Y	112500.0	454500.0	23337.0	...	0.0	0.0	0.0	0.0	0.0	2.0	train
439	100506	0.0	Cash loans	M	Y	Y	112500.0	345645.0	16240.5	...	NaN	NaN	NaN	NaN	NaN	NaN	train
1968	106712	NaN	Cash loans	F	N	N	103500.0	450000.0	24412.5	...	NaN	NaN	NaN	NaN	NaN	NaN	test
197	100229	0.0	Cash loans	F	N	Y	157500.0	544491.0	16047.0	...	0.0	0.0	0.0	0.0	0.0	2.0	train
1561	103870	NaN	Cash loans	F	N	Y	180000.0	547344.0	23319.0	...	0.0	0.0	0.0	0.0	1.0	1.0	test
1752	105203	NaN	Cash loans	F	Y	Y	180000.0	582804.0	31747.5	...	0.0	0.0	0.0	0.0	2.0	8.0	test

10 rows × 123 columns

Featuretools Basics

Featuretools는 deep feature synthesis라는 기술을 사용하여 관련 테이블에서 feature을 자동으로 생성하기 위한 오픈 소스 Python 라이브러리입니다. machine learning의 많은 주제와 마찬가지로 automated feature engineering은 단순한 아이디어를 기반으로 구축된 복잡한 주제입니다. 이러한 아이디어를 한 번에 하나씩 살펴봄으로써 나중에 이를 최대한 활용할 수 있는 featuretools에 대한 이해를 높일 수 있습니다.

그 과정에서 다룰 몇 가지 개념이 있습니다:

Entities and EntitySets
Relationships between tables
Feature primitives: aggregations and transformations
Deep featue synthesis

Entities and Entitysets

Entity는 단순히 테이블이거나 Pandas에서 dataframe입니다. 관측치는 행에 있고 feature은 열에 있습니다. featuretools의 entity에는 elements가 중복되지 않는 고유 인덱스가 있어야 합니다. 현재 app, bureau, previous만 고유 인덱스를 갖습니다(각각 SK_ID_CURR, SK_ID_BUREAU, SK_ID_PREV). 다른 데이터 프레임의 경우 make_index=True를 전달한 다음 인덱스 이름을 지정해야 합니다. entities는 각 항목이 고유한 시간으로 식별되는 시간 인덱스를 가질 수도 있습니다. (어떤 데이터에도 날짜나 시간이 없지만 시간 변수로 취급하는 것을 고려할 수 있는 월 또는 일 단위로 주어진 상대적 시간이 있습니다).

EntitySet은 테이블과 테이블 간의 관계 모음입니다. 이것은 자체 methods와 attributes을 가진 데이터 구조로 생각할 수 있습니다. EntitySet을 사용하면 여러 테이블을 그룹화하고 개별 테이블보다 훨씬 빠르게 조작할 수 있습니다.

먼저 모든 데이터를 추적하기 위해 clients라는 이름의 빈 entityset을 만듭니다.

es = ft.EntitySet(id="clients")

이제 각 entity 또는 데이터 테이블을 정의합니다. 데이터에 하나가 있으면 인덱스를 전달하고 그렇지 않으면 make_index=True를 전달해야 합니다. Featuretools는 변수 유형을 자동으로 유추하지만 필요한 경우 변경할 수도 있습니다. 예를 들어, 정수로 표시되는 범주형 변수가 있는 경우 featuretools가 올바른 유형을 알도록 할 수 있습니다.

es = es.add_dataframe(dataframe_name="app", dataframe=app, index="SK_ID_CURR")
es = es.add_dataframe(dataframe_name="bureau", dataframe=bureau, index="SK_ID_BUREAU")
es = es.add_dataframe(dataframe_name="previous", dataframe=previous, index="SK_ID_PREV")

es = es.add_dataframe(dataframe_name="bureau_balance", dataframe=bureau_balance,
                      make_index=True, index="bureaubalance_index")
es = es.add_dataframe(dataframe_name="cash", dataframe=cash,
                      make_index=True, index="cash_index")
es = es.add_dataframe(dataframe_name="installments", dataframe=installments,
                      make_index=True, index="installments_index")
es = es.add_dataframe(dataframe_name="credit", dataframe=credit,
                      make_index=True, index="credit_index")

Relationships

관계는 featuretools뿐만 아니라 모든 관계형 데이터베이스의 기본 개념입니다. one-to-many 관계를 생각하는 가장 좋은 방법은 부모 대 자식의 비유입니다. 부모는 한 개인이지만 여러 자녀를 가질 수 있습니다. 그런 다음 자녀는 자신의 자녀를 여러 명을 가질 수 있습니다. 상위 테이블에서 각 개인은 단일 행을 갖습니다. 상위 테이블의 각 개인은 하위 테이블에 여러 행을 가질 수 있습니다.

예를 들어 app 데이터 프레임에는 각 client(SK_ID_CURR)에 대해 하나의 행이 있는 반면 bureau 데이터 프레임에는 각 부모(SK_ID_CURR)에 대해 여러 개의 이전 대출(SK_ID_PREV)이 있습니다. 따라서 bureau 데이터 프레임은 app 데이터 프레임의 자식입니다. 각 대출은 bureau_balance에 하나의 행이 있지만 bureau_balance에는 여러 월간 기록이 있기 때문에 bureau 데이터 프레임은 bureau_balance의 부모입니다.

print('Parent: app, Parent Variable: SK_ID_CURR\n\n', app.loc[:, ["SK_ID_CURR"]].head())
print('\nChild: bureau, Child Variable: SK_ID_CURR\n\n', bureau.iloc[10:30, :4].head())

Parent: app, Parent Variable: SK_ID_CURR

         SK_ID_CURR
100002      100002
100003      100003
100004      100004
100006      100006
100007      100007

Child: bureau, Child Variable: SK_ID_CURR

          SK_ID_CURR  SK_ID_BUREAU CREDIT_ACTIVE CREDIT_CURRENCY
6158905      100002       6158905        Closed      currency 1
6158906      100002       6158906        Closed      currency 1
6158907      100002       6158907        Closed      currency 1
6158908      100002       6158908        Closed      currency 1
6158909      100002       6158909        Active      currency 1

SK_ID_CURR “100002”에는 부모 테이블에 하나의 행이 있고 자식 테이블에 여러 행이 있습니다.

두 테이블은 공유 변수를 통해 연결됩니다. app과 bureau 데이터 프레임은 SK_ID_CURR 변수에 의해 연결되고 bureau 및 bureau_balance 데이터 프레임은 SK_ID_BUREAU와 연결됩니다. 관계를 정의하는 것은 비교적 간단하며 competition에서 제공하는 다이어그램은 관계를 보는 데 도움이 됩니다. 각 관계에 대해 부모 변수와 자식 변수를 지정해야 합니다. 테이블 사이에는 총 6개의 관계가 있습니다. 아래에서 6개의 관계를 모두 지정한 다음 EntitySet에 추가합니다.

r_app_bureau = ft.Relationship(es, "app", "SK_ID_CURR", "bureau", "SK_ID_CURR")
r_bureau_balance = ft.Relationship(es, "bureau", "SK_ID_BUREAU", "bureau_balance",
                                   "SK_ID_BUREAU")
r_app_previous = ft.Relationship(es, "app", "SK_ID_CURR", "previous", "SK_ID_CURR")
r_previous_cash = ft.Relationship(es, "previous", "SK_ID_PREV", "cash", "SK_ID_PREV")
r_previous_installments = ft.Relationship(es, "previous", "SK_ID_PREV", "installments",
                                          "SK_ID_PREV")
r_previous_credit = ft.Relationship(es, "previous", "SK_ID_PREV", "credit",
                                    "SK_ID_PREV")

es = es.add_relationships([r_app_bureau, r_bureau_balance, r_app_previous,
                           r_previous_cash, r_previous_installments, r_previous_credit])

es

Entityset: clients
  DataFrames:
    app [Rows: 2002, Columns: 123]
    bureau [Rows: 1001, Columns: 17]
    previous [Rows: 1001, Columns: 37]
    bureau_balance [Rows: 1001, Columns: 4]
    cash [Rows: 1001, Columns: 9]
    installments [Rows: 1001, Columns: 9]
    credit [Rows: 1001, Columns: 24]
  Relationships:
    bureau.SK_ID_CURR -> app.SK_ID_CURR
    bureau_balance.SK_ID_BUREAU -> bureau.SK_ID_BUREAU
    previous.SK_ID_CURR -> app.SK_ID_CURR
    cash.SK_ID_PREV -> previous.SK_ID_PREV
    installments.SK_ID_PREV -> previous.SK_ID_PREV
    credit.SK_ID_PREV -> previous.SK_ID_PREV

Slightly advanced note: 부모에서 자식으로의 다중 경로가 있는 diamond graph를 생성하지 않도록 주의해야 합니다. SK_ID_CURR을 통해 app과 cash; SK_ID_PREV를 통해 previous와 cash를; SK_ID_CURR을 통해 app과 previous를 직접 연결하여, app에서 cash로의 두 가지 경로를 만들었습니다. 이로 인해 모호성이 발생하므로 대신 우리가 취해야 하는 접근 방식은 app을 previous을 통해 cash에 연결하는 것입니다. SK_ID_PREV를 사용하여 previous(부모)와 cash(자식) 간의 관계를 설정합니다. 그런 다음 SK_ID_CURR을 사용하여 app(부모)과 previous(자식) 간의 관계를 설정합니다. 그러면 featuretools는 여러 primitives를 쌓아서 previous 및 cash 모두에서 파생된 app의 features를 생성할 수 있습니다.

entity에서 모든 entities는 서로 관계가 있을 수 있습니다. 이론적으로 이를 통해 모든 entities에 대한 features를 계산할 수 있지만, 실제로는 training/testing에 사용되기 때문에 app 데이터 프레임에 대한 features만 계산합니다.

Feature Primitives

feature primitive는 feature을 생성하기 위해 테이블 또는 테이블 세트에 적용하는 작업입니다. 이는 manual feature engineering에서 이미 사용했던 것처럼, 복잡한 feature을 생성하기 위해 두 테이블을 stacking하여 간단한 계산을 하는 것을 나타냅니다. featuer primitves는 두 가지 카테고리로 나뉩니다:

Aggregation: 각 부모에 대한 자식 데이터를 함께 그룹화한 다음 평균, 최소값, 최대값 또는 표준 편차와 같은 통계를 계산하는 함수입니다. 예를 들어, 각 고객에 대한 최대 previous 대출 금액을 계산합니다. aggregation은 테이블 간의 관계를 사용하여 여러 테이블에서 작동합니다.
Transformation: 단일 테이블의 하나 이상의 칼럼에 적용되는 작업입니다. 예를 들어, 칼럼의 절대값을 취하거나 한 테이블에서 두 칼럼 간의 차이를 찾는 것이 있습니다.

featuretools에서 사용 가능한 기본 feature primitives는 아래에서 볼 수 있습니다.

primitives = ft.list_primitives()
pd.options.display.max_colwidth = 100
primitives[primitives["type"] == "aggregation"].head(10)

	name	type	dask_compatible	spark_compatible	description	valid_inputs	return_type
0	any	aggregation	True	False	Determines if any value is 'True' in a list.	<ColumnSchema (Logical Type = BooleanNullable)>, <ColumnSchema (Logical Type = Boolean)>	<ColumnSchema (Logical Type = Boolean)>
1	num_unique	aggregation	True	True	Determines the number of distinct values, ignoring `NaN` values.	<ColumnSchema (Semantic Tags = ['category'])>	<ColumnSchema (Logical Type = IntegerNullable) (Semantic Tags = ['numeric'])>
2	n_most_common	aggregation	False	False	Determines the `n` most common elements.	<ColumnSchema (Semantic Tags = ['category'])>	None
3	time_since_last	aggregation	False	False	Calculates the time elapsed since the last datetime (default in seconds).	<ColumnSchema (Logical Type = Datetime) (Semantic Tags = ['time_index'])>	<ColumnSchema (Logical Type = Double) (Semantic Tags = ['numeric'])>
4	max	aggregation	True	True	Calculates the highest value, ignoring `NaN` values.	<ColumnSchema (Semantic Tags = ['numeric'])>	<ColumnSchema (Semantic Tags = ['numeric'])>
5	trend	aggregation	False	False	Calculates the trend of a column over time.	<ColumnSchema (Logical Type = Datetime) (Semantic Tags = ['time_index'])>, <ColumnSchema (Semant...	<ColumnSchema (Semantic Tags = ['numeric'])>
6	mode	aggregation	False	False	Determines the most commonly repeated value.	<ColumnSchema (Semantic Tags = ['category'])>	None
7	skew	aggregation	False	False	Computes the extent to which a distribution differs from a normal distribution.	<ColumnSchema (Semantic Tags = ['numeric'])>	<ColumnSchema (Semantic Tags = ['numeric'])>
8	all	aggregation	True	False	Calculates if all values are 'True' in a list.	<ColumnSchema (Logical Type = BooleanNullable)>, <ColumnSchema (Logical Type = Boolean)>	<ColumnSchema (Logical Type = Boolean)>
9	avg_time_between	aggregation	False	False	Computes the average number of seconds between consecutive events.	<ColumnSchema (Logical Type = Datetime) (Semantic Tags = ['time_index'])>	<ColumnSchema (Logical Type = Double) (Semantic Tags = ['numeric'])>

primitives[primitives['type'] == 'transform'].head(10)

	name	type	dask_compatible	spark_compatible	description	valid_inputs	return_type
22	diff_datetime	transform	False	False	Computes the timedelta between a datetime in a list and the previous datetime in that list.	<ColumnSchema (Logical Type = Datetime)>	<ColumnSchema (Logical Type = Timedelta)>
23	isin	transform	True	True	Determines whether a value is present in a provided list.	<ColumnSchema>	<ColumnSchema (Logical Type = Boolean)>
24	scalar_subtract_numeric_feature	transform	True	True	Subtracts each value in the list from a given scalar.	<ColumnSchema (Semantic Tags = ['numeric'])>	<ColumnSchema (Semantic Tags = ['numeric'])>
25	cum_min	transform	False	False	Calculates the cumulative minimum.	<ColumnSchema (Semantic Tags = ['numeric'])>	<ColumnSchema (Semantic Tags = ['numeric'])>
26	weekday	transform	True	True	Determines the day of the week from a datetime.	<ColumnSchema (Logical Type = Datetime)>	<ColumnSchema (Logical Type = Ordinal: [0, 1, 2, 3, 4, 5, 6]) (Semantic Tags = ['category'])>
27	longitude	transform	False	False	Returns the second tuple value in a list of LatLong tuples. For use with the LatLong logical type.	<ColumnSchema (Logical Type = LatLong)>	<ColumnSchema (Semantic Tags = ['numeric'])>
28	week	transform	True	True	Determines the week of the year from a datetime.	<ColumnSchema (Logical Type = Datetime)>	<ColumnSchema (Logical Type = Ordinal: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 1...
29	email_address_to_domain	transform	False	False	Determines the domain of an email	<ColumnSchema (Logical Type = EmailAddress)>	<ColumnSchema (Logical Type = Categorical) (Semantic Tags = ['category'])>
30	rolling_count	transform	False	False	Determines a rolling count of events over a given window.	<ColumnSchema (Logical Type = Datetime) (Semantic Tags = ['time_index'])>	<ColumnSchema (Logical Type = Double) (Semantic Tags = ['numeric'])>
31	equal	transform	True	True	Determines if values in one list are equal to another list.	<ColumnSchema>	<ColumnSchema (Logical Type = BooleanNullable)>

Deep Feature Synthesis

DFS(Deep Feature Synthesis)는 featuretool이 새로운 feature을 만드는데 사용하는 프로세스입니다. DFS는 feature primitives를 스택하여 primitives의 수와 동일한 깊이를 갖는 feature를 형성합니다. 예를 들어, 고객의 previoius 대출(예: MAX(previous.loan_amount))의 최대값을 취하면 이는 깊이가 1인 “deep feature”입니다. 깊이가 2인 feature을 만들기 위해 previous 대출(예: MAX(previous(MEAN(installments.payment))))당 고객의 월 평균 지불액의 최대값을 취함으로써 primitives를 쌓을 수 있습니다.

(Deep Feature Synthesis 관련 논문)

featuretools에서 DFS를 수행하기 위해 dfs 함수를 사용하여 dataframes, target_dataframe_name(feature을 만들려는 위치), agg_primitives, trans_primitives 및 feature의 max_depth를 전달합니다. 여기서 우리는 기본 aggregation 및 transformation primitives, max_depth는 2를 사용하고 app entity에 대한 primitives를 계산합니다. 이 프로세스는 계산 비용이 많이 들기 때문에 features_only=True를 사용하여 함수를 실행해 features 자체를 계산하지 않고 features의 리스트만 return할 수 있습니다. 이것은 추가 계산을 시작하기 전에 결과로 나온 features를 살펴보는 데 유용할 수 있습니다.

# Default primitives from featuretools
default_agg_primitives =  ["sum", "std", "max", "skew", "min", "mean", "count", "percent_true", "num_unique", "mode"]
default_trans_primitives =  ["day", "year", "month", "weekday", "haversine", "num_words", "num_characters"]

feature_names = ft.dfs(entityset=es, target_dataframe_name="app",
                       trans_primitives=default_trans_primitives,
                       agg_primitives=default_agg_primitives,
                       max_depth=2,
                       features_only=True)

print('%d Total Features' % len(feature_names))

2213 Total Features

전체 데이터 세트에서 이 호출을 실행하고 features을 만드는 데 관심이 있다면 여기에 대한 스크립트를 작성했습니다. 불행히도 위의 스크립트는 계산 비용으로 인해 Kaggle 커널에서 실행되지 않습니다. 64GB 램이 있는 컴퓨터를 사용하여 이 함수 호출은 약 24시간이 걸렸고, 여기 feature_matrix.csv라는 파일에서 전체 데이터 세트를 사용할 수 있도록 만들었습니다.

features의 subset을 생성하려면 아래의 코드를 실행하세요.

feature_matrix,feature_names = ft.dfs(entityset=es, target_dataframe_name="app",
                                       trans_primitives=default_trans_primitives,
                                       agg_primitives=default_agg_primitives,
                                       features_only=False,
                                       verbose=True)

pd.options.display.max_columns = 1700
feature_matrix.head(10)

Built 2213 features
Elapsed: 00:17 | Progress: 100%|███████████████████████████████████████████████████████████████████████████████████████

	TARGET	NAME_CONTRACT_TYPE	CODE_GENDER	FLAG_OWN_CAR	FLAG_OWN_REALTY	CNT_CHILDREN	AMT_INCOME_TOTAL	AMT_CREDIT	AMT_ANNUITY	AMT_GOODS_PRICE	NAME_TYPE_SUITE	NAME_INCOME_TYPE	NAME_EDUCATION_TYPE	NAME_FAMILY_STATUS	NAME_HOUSING_TYPE	REGION_POPULATION_RELATIVE	DAYS_BIRTH	DAYS_EMPLOYED	DAYS_REGISTRATION	DAYS_ID_PUBLISH	OWN_CAR_AGE	FLAG_MOBIL	FLAG_EMP_PHONE	FLAG_WORK_PHONE	FLAG_CONT_MOBILE	FLAG_PHONE	FLAG_EMAIL	OCCUPATION_TYPE	CNT_FAM_MEMBERS	REGION_RATING_CLIENT	REGION_RATING_CLIENT_W_CITY	WEEKDAY_APPR_PROCESS_START	HOUR_APPR_PROCESS_START	REG_REGION_NOT_LIVE_REGION	REG_REGION_NOT_WORK_REGION	LIVE_REGION_NOT_WORK_REGION	REG_CITY_NOT_LIVE_CITY	REG_CITY_NOT_WORK_CITY	LIVE_CITY_NOT_WORK_CITY	ORGANIZATION_TYPE	EXT_SOURCE_1	EXT_SOURCE_2	EXT_SOURCE_3	APARTMENTS_AVG	BASEMENTAREA_AVG	YEARS_BEGINEXPLUATATION_AVG	YEARS_BUILD_AVG	COMMONAREA_AVG	ELEVATORS_AVG	ENTRANCES_AVG	FLOORSMAX_AVG	FLOORSMIN_AVG	LANDAREA_AVG	LIVINGAPARTMENTS_AVG	LIVINGAREA_AVG	NONLIVINGAPARTMENTS_AVG	NONLIVINGAREA_AVG	APARTMENTS_MODE	BASEMENTAREA_MODE	YEARS_BEGINEXPLUATATION_MODE	YEARS_BUILD_MODE	COMMONAREA_MODE	ELEVATORS_MODE	ENTRANCES_MODE	FLOORSMAX_MODE	FLOORSMIN_MODE	LANDAREA_MODE	LIVINGAPARTMENTS_MODE	LIVINGAREA_MODE	NONLIVINGAPARTMENTS_MODE	NONLIVINGAREA_MODE	APARTMENTS_MEDI	BASEMENTAREA_MEDI	YEARS_BEGINEXPLUATATION_MEDI	YEARS_BUILD_MEDI	COMMONAREA_MEDI	ELEVATORS_MEDI	ENTRANCES_MEDI	FLOORSMAX_MEDI	FLOORSMIN_MEDI	LANDAREA_MEDI	LIVINGAPARTMENTS_MEDI	LIVINGAREA_MEDI	NONLIVINGAPARTMENTS_MEDI	NONLIVINGAREA_MEDI	FONDKAPREMONT_MODE	HOUSETYPE_MODE	TOTALAREA_MODE	WALLSMATERIAL_MODE	EMERGENCYSTATE_MODE	OBS_30_CNT_SOCIAL_CIRCLE	DEF_30_CNT_SOCIAL_CIRCLE	OBS_60_CNT_SOCIAL_CIRCLE	DEF_60_CNT_SOCIAL_CIRCLE	DAYS_LAST_PHONE_CHANGE	FLAG_DOCUMENT_2	FLAG_DOCUMENT_3	FLAG_DOCUMENT_4	FLAG_DOCUMENT_5	FLAG_DOCUMENT_6	FLAG_DOCUMENT_7	FLAG_DOCUMENT_8	FLAG_DOCUMENT_9	FLAG_DOCUMENT_10	FLAG_DOCUMENT_11	FLAG_DOCUMENT_12	FLAG_DOCUMENT_13	FLAG_DOCUMENT_14	FLAG_DOCUMENT_15	FLAG_DOCUMENT_16	FLAG_DOCUMENT_17	FLAG_DOCUMENT_18	FLAG_DOCUMENT_19	FLAG_DOCUMENT_20	FLAG_DOCUMENT_21	AMT_REQ_CREDIT_BUREAU_HOUR	AMT_REQ_CREDIT_BUREAU_DAY	AMT_REQ_CREDIT_BUREAU_WEEK	AMT_REQ_CREDIT_BUREAU_MON	AMT_REQ_CREDIT_BUREAU_QRT	AMT_REQ_CREDIT_BUREAU_YEAR	set	COUNT(bureau)	MAX(bureau.AMT_ANNUITY)	MAX(bureau.AMT_CREDIT_MAX_OVERDUE)	MAX(bureau.AMT_CREDIT_SUM)	MAX(bureau.AMT_CREDIT_SUM_DEBT)	MAX(bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau.CNT_CREDIT_PROLONG)	MAX(bureau.CREDIT_DAY_OVERDUE)	MAX(bureau.DAYS_CREDIT)	MAX(bureau.DAYS_CREDIT_ENDDATE)	MAX(bureau.DAYS_CREDIT_UPDATE)	MAX(bureau.DAYS_ENDDATE_FACT)	MEAN(bureau.AMT_ANNUITY)	MEAN(bureau.AMT_CREDIT_MAX_OVERDUE)	MEAN(bureau.AMT_CREDIT_SUM)	MEAN(bureau.AMT_CREDIT_SUM_DEBT)	MEAN(bureau.AMT_CREDIT_SUM_LIMIT)	MEAN(bureau.AMT_CREDIT_SUM_OVERDUE)	MEAN(bureau.CNT_CREDIT_PROLONG)	MEAN(bureau.CREDIT_DAY_OVERDUE)	MEAN(bureau.DAYS_CREDIT)	MEAN(bureau.DAYS_CREDIT_ENDDATE)	MEAN(bureau.DAYS_CREDIT_UPDATE)	MEAN(bureau.DAYS_ENDDATE_FACT)	MIN(bureau.AMT_ANNUITY)	MIN(bureau.AMT_CREDIT_MAX_OVERDUE)	MIN(bureau.AMT_CREDIT_SUM)	MIN(bureau.AMT_CREDIT_SUM_DEBT)	MIN(bureau.AMT_CREDIT_SUM_LIMIT)	MIN(bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(bureau.CNT_CREDIT_PROLONG)	MIN(bureau.CREDIT_DAY_OVERDUE)	MIN(bureau.DAYS_CREDIT)	MIN(bureau.DAYS_CREDIT_ENDDATE)	MIN(bureau.DAYS_CREDIT_UPDATE)	MIN(bureau.DAYS_ENDDATE_FACT)	MODE(bureau.CREDIT_ACTIVE)	MODE(bureau.CREDIT_CURRENCY)	MODE(bureau.CREDIT_TYPE)	NUM_UNIQUE(bureau.CREDIT_ACTIVE)	NUM_UNIQUE(bureau.CREDIT_CURRENCY)	NUM_UNIQUE(bureau.CREDIT_TYPE)	SKEW(bureau.AMT_ANNUITY)	SKEW(bureau.AMT_CREDIT_MAX_OVERDUE)	SKEW(bureau.AMT_CREDIT_SUM)	SKEW(bureau.AMT_CREDIT_SUM_DEBT)	SKEW(bureau.AMT_CREDIT_SUM_LIMIT)	SKEW(bureau.AMT_CREDIT_SUM_OVERDUE)	SKEW(bureau.CNT_CREDIT_PROLONG)	SKEW(bureau.CREDIT_DAY_OVERDUE)	SKEW(bureau.DAYS_CREDIT)	SKEW(bureau.DAYS_CREDIT_ENDDATE)	SKEW(bureau.DAYS_CREDIT_UPDATE)	SKEW(bureau.DAYS_ENDDATE_FACT)	STD(bureau.AMT_ANNUITY)	STD(bureau.AMT_CREDIT_MAX_OVERDUE)	STD(bureau.AMT_CREDIT_SUM)	STD(bureau.AMT_CREDIT_SUM_DEBT)	STD(bureau.AMT_CREDIT_SUM_LIMIT)	STD(bureau.AMT_CREDIT_SUM_OVERDUE)	STD(bureau.CNT_CREDIT_PROLONG)	STD(bureau.CREDIT_DAY_OVERDUE)	STD(bureau.DAYS_CREDIT)	STD(bureau.DAYS_CREDIT_ENDDATE)	STD(bureau.DAYS_CREDIT_UPDATE)	STD(bureau.DAYS_ENDDATE_FACT)	SUM(bureau.AMT_ANNUITY)	SUM(bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(bureau.AMT_CREDIT_SUM)	SUM(bureau.AMT_CREDIT_SUM_DEBT)	SUM(bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(bureau.CNT_CREDIT_PROLONG)	SUM(bureau.CREDIT_DAY_OVERDUE)	SUM(bureau.DAYS_CREDIT)	SUM(bureau.DAYS_CREDIT_ENDDATE)	SUM(bureau.DAYS_CREDIT_UPDATE)	SUM(bureau.DAYS_ENDDATE_FACT)	COUNT(bureau_balance)	MAX(bureau_balance.MONTHS_BALANCE)	MEAN(bureau_balance.MONTHS_BALANCE)	MIN(bureau_balance.MONTHS_BALANCE)	MODE(bureau_balance.STATUS)	NUM_UNIQUE(bureau_balance.STATUS)	SKEW(bureau_balance.MONTHS_BALANCE)	STD(bureau_balance.MONTHS_BALANCE)	SUM(bureau_balance.MONTHS_BALANCE)	COUNT(previous)	MAX(previous.AMT_ANNUITY)	MAX(previous.AMT_APPLICATION)	MAX(previous.AMT_CREDIT)	MAX(previous.AMT_DOWN_PAYMENT)	MAX(previous.AMT_GOODS_PRICE)	MAX(previous.CNT_PAYMENT)	MAX(previous.DAYS_DECISION)	MAX(previous.DAYS_FIRST_DRAWING)	MAX(previous.DAYS_FIRST_DUE)	MAX(previous.DAYS_LAST_DUE)	MAX(previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(previous.DAYS_TERMINATION)	MAX(previous.HOUR_APPR_PROCESS_START)	MAX(previous.NFLAG_INSURED_ON_APPROVAL)	MAX(previous.NFLAG_LAST_APPL_IN_DAY)	MAX(previous.RATE_DOWN_PAYMENT)	MAX(previous.RATE_INTEREST_PRIMARY)	MAX(previous.RATE_INTEREST_PRIVILEGED)	MAX(previous.SELLERPLACE_AREA)	MEAN(previous.AMT_ANNUITY)	MEAN(previous.AMT_APPLICATION)	MEAN(previous.AMT_CREDIT)	MEAN(previous.AMT_DOWN_PAYMENT)	MEAN(previous.AMT_GOODS_PRICE)	MEAN(previous.CNT_PAYMENT)	MEAN(previous.DAYS_DECISION)	MEAN(previous.DAYS_FIRST_DRAWING)	MEAN(previous.DAYS_FIRST_DUE)	MEAN(previous.DAYS_LAST_DUE)	MEAN(previous.DAYS_LAST_DUE_1ST_VERSION)	MEAN(previous.DAYS_TERMINATION)	MEAN(previous.HOUR_APPR_PROCESS_START)	MEAN(previous.NFLAG_INSURED_ON_APPROVAL)	MEAN(previous.NFLAG_LAST_APPL_IN_DAY)	MEAN(previous.RATE_DOWN_PAYMENT)	MEAN(previous.RATE_INTEREST_PRIMARY)	MEAN(previous.RATE_INTEREST_PRIVILEGED)	MEAN(previous.SELLERPLACE_AREA)	MIN(previous.AMT_ANNUITY)	MIN(previous.AMT_APPLICATION)	MIN(previous.AMT_CREDIT)	MIN(previous.AMT_DOWN_PAYMENT)	MIN(previous.AMT_GOODS_PRICE)	MIN(previous.CNT_PAYMENT)	MIN(previous.DAYS_DECISION)	MIN(previous.DAYS_FIRST_DRAWING)	MIN(previous.DAYS_FIRST_DUE)	MIN(previous.DAYS_LAST_DUE)	MIN(previous.DAYS_LAST_DUE_1ST_VERSION)	MIN(previous.DAYS_TERMINATION)	MIN(previous.HOUR_APPR_PROCESS_START)	MIN(previous.NFLAG_INSURED_ON_APPROVAL)	MIN(previous.NFLAG_LAST_APPL_IN_DAY)	MIN(previous.RATE_DOWN_PAYMENT)	MIN(previous.RATE_INTEREST_PRIMARY)	MIN(previous.RATE_INTEREST_PRIVILEGED)	MIN(previous.SELLERPLACE_AREA)	MODE(previous.CHANNEL_TYPE)	MODE(previous.CODE_REJECT_REASON)	MODE(previous.FLAG_LAST_APPL_PER_CONTRACT)	MODE(previous.NAME_CASH_LOAN_PURPOSE)	MODE(previous.NAME_CLIENT_TYPE)	MODE(previous.NAME_CONTRACT_STATUS)	MODE(previous.NAME_CONTRACT_TYPE)	MODE(previous.NAME_GOODS_CATEGORY)	MODE(previous.NAME_PAYMENT_TYPE)	MODE(previous.NAME_PORTFOLIO)	MODE(previous.NAME_PRODUCT_TYPE)	MODE(previous.NAME_SELLER_INDUSTRY)	MODE(previous.NAME_TYPE_SUITE)	MODE(previous.NAME_YIELD_GROUP)	MODE(previous.PRODUCT_COMBINATION)	MODE(previous.WEEKDAY_APPR_PROCESS_START)	NUM_UNIQUE(previous.CHANNEL_TYPE)	NUM_UNIQUE(previous.CODE_REJECT_REASON)	NUM_UNIQUE(previous.FLAG_LAST_APPL_PER_CONTRACT)	NUM_UNIQUE(previous.NAME_CASH_LOAN_PURPOSE)	NUM_UNIQUE(previous.NAME_CLIENT_TYPE)	NUM_UNIQUE(previous.NAME_CONTRACT_STATUS)	NUM_UNIQUE(previous.NAME_CONTRACT_TYPE)	NUM_UNIQUE(previous.NAME_GOODS_CATEGORY)	NUM_UNIQUE(previous.NAME_PAYMENT_TYPE)	NUM_UNIQUE(previous.NAME_PORTFOLIO)	NUM_UNIQUE(previous.NAME_PRODUCT_TYPE)	NUM_UNIQUE(previous.NAME_SELLER_INDUSTRY)	NUM_UNIQUE(previous.NAME_TYPE_SUITE)	NUM_UNIQUE(previous.NAME_YIELD_GROUP)	NUM_UNIQUE(previous.PRODUCT_COMBINATION)	NUM_UNIQUE(previous.WEEKDAY_APPR_PROCESS_START)	SKEW(previous.AMT_ANNUITY)	SKEW(previous.AMT_APPLICATION)	SKEW(previous.AMT_CREDIT)	SKEW(previous.AMT_DOWN_PAYMENT)	SKEW(previous.AMT_GOODS_PRICE)	SKEW(previous.CNT_PAYMENT)	SKEW(previous.DAYS_DECISION)	SKEW(previous.DAYS_FIRST_DRAWING)	SKEW(previous.DAYS_FIRST_DUE)	SKEW(previous.DAYS_LAST_DUE)	SKEW(previous.DAYS_LAST_DUE_1ST_VERSION)	SKEW(previous.DAYS_TERMINATION)	SKEW(previous.HOUR_APPR_PROCESS_START)	SKEW(previous.NFLAG_INSURED_ON_APPROVAL)	SKEW(previous.NFLAG_LAST_APPL_IN_DAY)	SKEW(previous.RATE_DOWN_PAYMENT)	SKEW(previous.RATE_INTEREST_PRIMARY)	SKEW(previous.RATE_INTEREST_PRIVILEGED)	SKEW(previous.SELLERPLACE_AREA)	STD(previous.AMT_ANNUITY)	STD(previous.AMT_APPLICATION)	STD(previous.AMT_CREDIT)	STD(previous.AMT_DOWN_PAYMENT)	STD(previous.AMT_GOODS_PRICE)	STD(previous.CNT_PAYMENT)	STD(previous.DAYS_DECISION)	STD(previous.DAYS_FIRST_DRAWING)	STD(previous.DAYS_FIRST_DUE)	STD(previous.DAYS_LAST_DUE)	STD(previous.DAYS_LAST_DUE_1ST_VERSION)	STD(previous.DAYS_TERMINATION)	STD(previous.HOUR_APPR_PROCESS_START)	STD(previous.NFLAG_INSURED_ON_APPROVAL)	STD(previous.NFLAG_LAST_APPL_IN_DAY)	STD(previous.RATE_DOWN_PAYMENT)	STD(previous.RATE_INTEREST_PRIMARY)	STD(previous.RATE_INTEREST_PRIVILEGED)	STD(previous.SELLERPLACE_AREA)	SUM(previous.AMT_ANNUITY)	SUM(previous.AMT_APPLICATION)	SUM(previous.AMT_CREDIT)	SUM(previous.AMT_DOWN_PAYMENT)	SUM(previous.AMT_GOODS_PRICE)	SUM(previous.CNT_PAYMENT)	SUM(previous.DAYS_DECISION)	SUM(previous.DAYS_FIRST_DRAWING)	SUM(previous.DAYS_FIRST_DUE)	SUM(previous.DAYS_LAST_DUE)	SUM(previous.DAYS_LAST_DUE_1ST_VERSION)	SUM(previous.DAYS_TERMINATION)	SUM(previous.HOUR_APPR_PROCESS_START)	SUM(previous.NFLAG_INSURED_ON_APPROVAL)	SUM(previous.NFLAG_LAST_APPL_IN_DAY)	SUM(previous.RATE_DOWN_PAYMENT)	SUM(previous.RATE_INTEREST_PRIMARY)	SUM(previous.RATE_INTEREST_PRIVILEGED)	SUM(previous.SELLERPLACE_AREA)	COUNT(cash)	MAX(cash.CNT_INSTALMENT)	MAX(cash.CNT_INSTALMENT_FUTURE)	MAX(cash.MONTHS_BALANCE)	MAX(cash.SK_DPD)	MAX(cash.SK_DPD_DEF)	MAX(cash.SK_ID_CURR)	MEAN(cash.CNT_INSTALMENT)	MEAN(cash.CNT_INSTALMENT_FUTURE)	MEAN(cash.MONTHS_BALANCE)	MEAN(cash.SK_DPD)	MEAN(cash.SK_DPD_DEF)	MEAN(cash.SK_ID_CURR)	MIN(cash.CNT_INSTALMENT)	MIN(cash.CNT_INSTALMENT_FUTURE)	MIN(cash.MONTHS_BALANCE)	MIN(cash.SK_DPD)	MIN(cash.SK_DPD_DEF)	MIN(cash.SK_ID_CURR)	MODE(cash.NAME_CONTRACT_STATUS)	NUM_UNIQUE(cash.NAME_CONTRACT_STATUS)	SKEW(cash.CNT_INSTALMENT)	SKEW(cash.CNT_INSTALMENT_FUTURE)	SKEW(cash.MONTHS_BALANCE)	SKEW(cash.SK_DPD)	SKEW(cash.SK_DPD_DEF)	SKEW(cash.SK_ID_CURR)	STD(cash.CNT_INSTALMENT)	STD(cash.CNT_INSTALMENT_FUTURE)	STD(cash.MONTHS_BALANCE)	STD(cash.SK_DPD)	STD(cash.SK_DPD_DEF)	STD(cash.SK_ID_CURR)	SUM(cash.CNT_INSTALMENT)	SUM(cash.CNT_INSTALMENT_FUTURE)	SUM(cash.MONTHS_BALANCE)	SUM(cash.SK_DPD)	SUM(cash.SK_DPD_DEF)	SUM(cash.SK_ID_CURR)	COUNT(installments)	MAX(installments.AMT_INSTALMENT)	MAX(installments.AMT_PAYMENT)	MAX(installments.DAYS_ENTRY_PAYMENT)	MAX(installments.DAYS_INSTALMENT)	MAX(installments.NUM_INSTALMENT_NUMBER)	MAX(installments.NUM_INSTALMENT_VERSION)	MAX(installments.SK_ID_CURR)	MEAN(installments.AMT_INSTALMENT)	MEAN(installments.AMT_PAYMENT)	MEAN(installments.DAYS_ENTRY_PAYMENT)	MEAN(installments.DAYS_INSTALMENT)	MEAN(installments.NUM_INSTALMENT_NUMBER)	MEAN(installments.NUM_INSTALMENT_VERSION)	MEAN(installments.SK_ID_CURR)	MIN(installments.AMT_INSTALMENT)	MIN(installments.AMT_PAYMENT)	MIN(installments.DAYS_ENTRY_PAYMENT)	MIN(installments.DAYS_INSTALMENT)	MIN(installments.NUM_INSTALMENT_NUMBER)	MIN(installments.NUM_INSTALMENT_VERSION)	MIN(installments.SK_ID_CURR)	SKEW(installments.AMT_INSTALMENT)	SKEW(installments.AMT_PAYMENT)	SKEW(installments.DAYS_ENTRY_PAYMENT)	SKEW(installments.DAYS_INSTALMENT)	SKEW(installments.NUM_INSTALMENT_NUMBER)	SKEW(installments.NUM_INSTALMENT_VERSION)	SKEW(installments.SK_ID_CURR)	STD(installments.AMT_INSTALMENT)	STD(installments.AMT_PAYMENT)	STD(installments.DAYS_ENTRY_PAYMENT)	STD(installments.DAYS_INSTALMENT)	STD(installments.NUM_INSTALMENT_NUMBER)	STD(installments.NUM_INSTALMENT_VERSION)	STD(installments.SK_ID_CURR)	SUM(installments.AMT_INSTALMENT)	SUM(installments.AMT_PAYMENT)	SUM(installments.DAYS_ENTRY_PAYMENT)	SUM(installments.DAYS_INSTALMENT)	SUM(installments.NUM_INSTALMENT_NUMBER)	SUM(installments.NUM_INSTALMENT_VERSION)	SUM(installments.SK_ID_CURR)	COUNT(credit)	MAX(credit.AMT_BALANCE)	MAX(credit.AMT_CREDIT_LIMIT_ACTUAL)	MAX(credit.AMT_DRAWINGS_ATM_CURRENT)	MAX(credit.AMT_DRAWINGS_CURRENT)	MAX(credit.AMT_DRAWINGS_OTHER_CURRENT)	MAX(credit.AMT_DRAWINGS_POS_CURRENT)	MAX(credit.AMT_INST_MIN_REGULARITY)	MAX(credit.AMT_PAYMENT_CURRENT)	MAX(credit.AMT_PAYMENT_TOTAL_CURRENT)	MAX(credit.AMT_RECEIVABLE_PRINCIPAL)	MAX(credit.AMT_RECIVABLE)	MAX(credit.AMT_TOTAL_RECEIVABLE)	MAX(credit.CNT_DRAWINGS_ATM_CURRENT)	MAX(credit.CNT_DRAWINGS_CURRENT)	MAX(credit.CNT_DRAWINGS_OTHER_CURRENT)	MAX(credit.CNT_DRAWINGS_POS_CURRENT)	MAX(credit.CNT_INSTALMENT_MATURE_CUM)	MAX(credit.MONTHS_BALANCE)	MAX(credit.SK_DPD)	MAX(credit.SK_DPD_DEF)	MAX(credit.SK_ID_CURR)	MEAN(credit.AMT_BALANCE)	MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL)	MEAN(credit.AMT_DRAWINGS_ATM_CURRENT)	MEAN(credit.AMT_DRAWINGS_CURRENT)	MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MEAN(credit.AMT_DRAWINGS_POS_CURRENT)	MEAN(credit.AMT_INST_MIN_REGULARITY)	MEAN(credit.AMT_PAYMENT_CURRENT)	MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MEAN(credit.AMT_RECEIVABLE_PRINCIPAL)	MEAN(credit.AMT_RECIVABLE)	MEAN(credit.AMT_TOTAL_RECEIVABLE)	MEAN(credit.CNT_DRAWINGS_ATM_CURRENT)	MEAN(credit.CNT_DRAWINGS_CURRENT)	MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT)	MEAN(credit.CNT_DRAWINGS_POS_CURRENT)	MEAN(credit.CNT_INSTALMENT_MATURE_CUM)	MEAN(credit.MONTHS_BALANCE)	MEAN(credit.SK_DPD)	MEAN(credit.SK_DPD_DEF)	MEAN(credit.SK_ID_CURR)	MIN(credit.AMT_BALANCE)	MIN(credit.AMT_CREDIT_LIMIT_ACTUAL)	MIN(credit.AMT_DRAWINGS_ATM_CURRENT)	MIN(credit.AMT_DRAWINGS_CURRENT)	MIN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MIN(credit.AMT_DRAWINGS_POS_CURRENT)	MIN(credit.AMT_INST_MIN_REGULARITY)	MIN(credit.AMT_PAYMENT_CURRENT)	MIN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MIN(credit.AMT_RECEIVABLE_PRINCIPAL)	MIN(credit.AMT_RECIVABLE)	MIN(credit.AMT_TOTAL_RECEIVABLE)	MIN(credit.CNT_DRAWINGS_ATM_CURRENT)	MIN(credit.CNT_DRAWINGS_CURRENT)	MIN(credit.CNT_DRAWINGS_OTHER_CURRENT)	MIN(credit.CNT_DRAWINGS_POS_CURRENT)	MIN(credit.CNT_INSTALMENT_MATURE_CUM)	MIN(credit.MONTHS_BALANCE)	MIN(credit.SK_DPD)	MIN(credit.SK_DPD_DEF)	MIN(credit.SK_ID_CURR)	MODE(credit.NAME_CONTRACT_STATUS)	NUM_UNIQUE(credit.NAME_CONTRACT_STATUS)	SKEW(credit.AMT_BALANCE)	SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL)	SKEW(credit.AMT_DRAWINGS_ATM_CURRENT)	SKEW(credit.AMT_DRAWINGS_CURRENT)	SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT)	SKEW(credit.AMT_DRAWINGS_POS_CURRENT)	SKEW(credit.AMT_INST_MIN_REGULARITY)	SKEW(credit.AMT_PAYMENT_CURRENT)	SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT)	SKEW(credit.AMT_RECEIVABLE_PRINCIPAL)	SKEW(credit.AMT_RECIVABLE)	SKEW(credit.AMT_TOTAL_RECEIVABLE)	SKEW(credit.CNT_DRAWINGS_ATM_CURRENT)	SKEW(credit.CNT_DRAWINGS_CURRENT)	SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT)	SKEW(credit.CNT_DRAWINGS_POS_CURRENT)	SKEW(credit.CNT_INSTALMENT_MATURE_CUM)	SKEW(credit.MONTHS_BALANCE)	SKEW(credit.SK_DPD)	SKEW(credit.SK_DPD_DEF)	SKEW(credit.SK_ID_CURR)	STD(credit.AMT_BALANCE)	STD(credit.AMT_CREDIT_LIMIT_ACTUAL)	STD(credit.AMT_DRAWINGS_ATM_CURRENT)	STD(credit.AMT_DRAWINGS_CURRENT)	STD(credit.AMT_DRAWINGS_OTHER_CURRENT)	STD(credit.AMT_DRAWINGS_POS_CURRENT)	STD(credit.AMT_INST_MIN_REGULARITY)	STD(credit.AMT_PAYMENT_CURRENT)	STD(credit.AMT_PAYMENT_TOTAL_CURRENT)	STD(credit.AMT_RECEIVABLE_PRINCIPAL)	STD(credit.AMT_RECIVABLE)	STD(credit.AMT_TOTAL_RECEIVABLE)	STD(credit.CNT_DRAWINGS_ATM_CURRENT)	STD(credit.CNT_DRAWINGS_CURRENT)	STD(credit.CNT_DRAWINGS_OTHER_CURRENT)	STD(credit.CNT_DRAWINGS_POS_CURRENT)	STD(credit.CNT_INSTALMENT_MATURE_CUM)	STD(credit.MONTHS_BALANCE)	STD(credit.SK_DPD)	STD(credit.SK_DPD_DEF)	STD(credit.SK_ID_CURR)	SUM(credit.AMT_BALANCE)	SUM(credit.AMT_CREDIT_LIMIT_ACTUAL)	SUM(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(credit.AMT_DRAWINGS_CURRENT)	SUM(credit.AMT_DRAWINGS_OTHER_CURRENT)	SUM(credit.AMT_DRAWINGS_POS_CURRENT)	SUM(credit.AMT_INST_MIN_REGULARITY)	SUM(credit.AMT_PAYMENT_CURRENT)	SUM(credit.AMT_PAYMENT_TOTAL_CURRENT)	SUM(credit.AMT_RECEIVABLE_PRINCIPAL)	SUM(credit.AMT_RECIVABLE)	SUM(credit.AMT_TOTAL_RECEIVABLE)	SUM(credit.CNT_DRAWINGS_ATM_CURRENT)	SUM(credit.CNT_DRAWINGS_CURRENT)	SUM(credit.CNT_DRAWINGS_OTHER_CURRENT)	SUM(credit.CNT_DRAWINGS_POS_CURRENT)	SUM(credit.CNT_INSTALMENT_MATURE_CUM)	SUM(credit.MONTHS_BALANCE)	SUM(credit.SK_DPD)	SUM(credit.SK_DPD_DEF)	SUM(credit.SK_ID_CURR)	MAX(bureau.COUNT(bureau_balance))	MAX(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MAX(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MAX(bureau.NUM_UNIQUE(bureau_balance.STATUS))	MAX(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	MAX(bureau.STD(bureau_balance.MONTHS_BALANCE))	MAX(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.COUNT(bureau_balance))	MEAN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.NUM_UNIQUE(bureau_balance.STATUS))	MEAN(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.STD(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MIN(bureau.COUNT(bureau_balance))	MIN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MIN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MIN(bureau.NUM_UNIQUE(bureau_balance.STATUS))	MIN(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	MIN(bureau.STD(bureau_balance.MONTHS_BALANCE))	MIN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MODE(bureau.MODE(bureau_balance.STATUS))	NUM_UNIQUE(bureau.MODE(bureau_balance.STATUS))	SKEW(bureau.COUNT(bureau_balance))	SKEW(bureau.MAX(bureau_balance.MONTHS_BALANCE))	SKEW(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	SKEW(bureau.MIN(bureau_balance.MONTHS_BALANCE))	SKEW(bureau.NUM_UNIQUE(bureau_balance.STATUS))	SKEW(bureau.STD(bureau_balance.MONTHS_BALANCE))	SKEW(bureau.SUM(bureau_balance.MONTHS_BALANCE))	STD(bureau.COUNT(bureau_balance))	STD(bureau.MAX(bureau_balance.MONTHS_BALANCE))	STD(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	STD(bureau.MIN(bureau_balance.MONTHS_BALANCE))	STD(bureau.NUM_UNIQUE(bureau_balance.STATUS))	STD(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	STD(bureau.SUM(bureau_balance.MONTHS_BALANCE))	SUM(bureau.MAX(bureau_balance.MONTHS_BALANCE))	SUM(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	SUM(bureau.MIN(bureau_balance.MONTHS_BALANCE))	SUM(bureau.NUM_UNIQUE(bureau_balance.STATUS))	SUM(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	SUM(bureau.STD(bureau_balance.MONTHS_BALANCE))	MAX(bureau_balance.bureau.AMT_ANNUITY)	MAX(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MAX(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MAX(bureau_balance.bureau.DAYS_CREDIT)	MAX(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MAX(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MAX(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MEAN(bureau_balance.bureau.AMT_ANNUITY)	MEAN(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MEAN(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MEAN(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MEAN(bureau_balance.bureau.DAYS_CREDIT)	MEAN(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MEAN(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MEAN(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MIN(bureau_balance.bureau.AMT_ANNUITY)	MIN(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MIN(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MIN(bureau_balance.bureau.DAYS_CREDIT)	MIN(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MIN(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MIN(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MODE(bureau_balance.bureau.CREDIT_ACTIVE)	MODE(bureau_balance.bureau.CREDIT_CURRENCY)	MODE(bureau_balance.bureau.CREDIT_TYPE)	NUM_UNIQUE(bureau_balance.bureau.CREDIT_ACTIVE)	NUM_UNIQUE(bureau_balance.bureau.CREDIT_CURRENCY)	NUM_UNIQUE(bureau_balance.bureau.CREDIT_TYPE)	SKEW(bureau_balance.bureau.AMT_ANNUITY)	SKEW(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	SKEW(bureau_balance.bureau.AMT_CREDIT_SUM)	SKEW(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	SKEW(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	SKEW(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	SKEW(bureau_balance.bureau.CNT_CREDIT_PROLONG)	SKEW(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	SKEW(bureau_balance.bureau.DAYS_CREDIT)	SKEW(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	SKEW(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	SKEW(bureau_balance.bureau.DAYS_ENDDATE_FACT)	STD(bureau_balance.bureau.AMT_ANNUITY)	STD(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	STD(bureau_balance.bureau.AMT_CREDIT_SUM)	STD(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	STD(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	STD(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	STD(bureau_balance.bureau.CNT_CREDIT_PROLONG)	STD(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	STD(bureau_balance.bureau.DAYS_CREDIT)	STD(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	STD(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	STD(bureau_balance.bureau.DAYS_ENDDATE_FACT)	SUM(bureau_balance.bureau.AMT_ANNUITY)	SUM(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(bureau_balance.bureau.CNT_CREDIT_PROLONG)	SUM(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	SUM(bureau_balance.bureau.DAYS_CREDIT)	SUM(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	SUM(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	SUM(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MAX(previous.COUNT(cash))	MAX(previous.COUNT(credit))	MAX(previous.COUNT(installments))	MAX(previous.MEAN(cash.CNT_INSTALMENT))	MAX(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.MEAN(cash.MONTHS_BALANCE))	MAX(previous.MEAN(cash.SK_DPD))	MAX(previous.MEAN(cash.SK_DPD_DEF))	MAX(previous.MEAN(cash.SK_ID_CURR))	MAX(previous.MEAN(credit.AMT_BALANCE))	MAX(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	MAX(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous.MEAN(credit.AMT_RECIVABLE))	MAX(previous.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous.MEAN(credit.CNT_DRAWINGS_CURRENT))	MAX(previous.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous.MEAN(credit.MONTHS_BALANCE))	MAX(previous.MEAN(credit.SK_DPD))	MAX(previous.MEAN(credit.SK_DPD_DEF))	MAX(previous.MEAN(credit.SK_ID_CURR))	MAX(previous.MEAN(installments.AMT_INSTALMENT))	MAX(previous.MEAN(installments.AMT_PAYMENT))	MAX(previous.MEAN(installments.DAYS_ENTRY_PAYMENT))	MAX(previous.MEAN(installments.DAYS_INSTALMENT))	MAX(previous.MEAN(installments.NUM_INSTALMENT_NUMBER))	MAX(previous.MEAN(installments.NUM_INSTALMENT_VERSION))	MAX(previous.MEAN(installments.SK_ID_CURR))	MAX(previous.MIN(cash.CNT_INSTALMENT))	MAX(previous.MIN(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.MIN(cash.MONTHS_BALANCE))	MAX(previous.MIN(cash.SK_DPD))	MAX(previous.MIN(cash.SK_DPD_DEF))	MAX(previous.MIN(cash.SK_ID_CURR))	MAX(previous.MIN(credit.AMT_BALANCE))	MAX(previous.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.MIN(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.MIN(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.MIN(credit.AMT_PAYMENT_CURRENT))	MAX(previous.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous.MIN(credit.AMT_RECIVABLE))	MAX(previous.MIN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous.MIN(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous.MIN(credit.CNT_DRAWINGS_CURRENT))	MAX(previous.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous.MIN(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous.MIN(credit.MONTHS_BALANCE))	MAX(previous.MIN(credit.SK_DPD))	MAX(previous.MIN(credit.SK_DPD_DEF))	MAX(previous.MIN(credit.SK_ID_CURR))	MAX(previous.MIN(installments.AMT_INSTALMENT))	MAX(previous.MIN(installments.AMT_PAYMENT))	MAX(previous.MIN(installments.DAYS_ENTRY_PAYMENT))	MAX(previous.MIN(installments.DAYS_INSTALMENT))	MAX(previous.MIN(installments.NUM_INSTALMENT_NUMBER))	MAX(previous.MIN(installments.NUM_INSTALMENT_VERSION))	MAX(previous.MIN(installments.SK_ID_CURR))	MAX(previous.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	MAX(previous.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	MAX(previous.SKEW(cash.CNT_INSTALMENT))	MAX(previous.SKEW(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.SKEW(cash.MONTHS_BALANCE))	MAX(previous.SKEW(cash.SK_DPD))	MAX(previous.SKEW(cash.SK_DPD_DEF))	MAX(previous.SKEW(cash.SK_ID_CURR))	MAX(previous.SKEW(credit.AMT_BALANCE))	MAX(previous.SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.SKEW(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.SKEW(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.SKEW(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.SKEW(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.SKEW(credit.AMT_PAYMENT_CURRENT))	MAX(previous.SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous.SKEW(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous.SKEW(credit.AMT_RECIVABLE))	MAX(previous.SKEW(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous.SKEW(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous.SKEW(credit.CNT_DRAWINGS_CURRENT))	MAX(previous.SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous.SKEW(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous.SKEW(credit.MONTHS_BALANCE))	MAX(previous.SKEW(credit.SK_DPD))	MAX(previous.SKEW(credit.SK_DPD_DEF))	MAX(previous.SKEW(credit.SK_ID_CURR))	MAX(previous.SKEW(installments.AMT_INSTALMENT))	MAX(previous.SKEW(installments.AMT_PAYMENT))	MAX(previous.SKEW(installments.DAYS_ENTRY_PAYMENT))	MAX(previous.SKEW(installments.DAYS_INSTALMENT))	MAX(previous.SKEW(installments.NUM_INSTALMENT_NUMBER))	MAX(previous.SKEW(installments.NUM_INSTALMENT_VERSION))	MAX(previous.SKEW(installments.SK_ID_CURR))	MAX(previous.STD(cash.CNT_INSTALMENT))	MAX(previous.STD(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.STD(cash.MONTHS_BALANCE))	MAX(previous.STD(cash.SK_DPD))	MAX(previous.STD(cash.SK_DPD_DEF))	MAX(previous.STD(cash.SK_ID_CURR))	MAX(previous.STD(credit.AMT_BALANCE))	MAX(previous.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.STD(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.STD(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.STD(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.STD(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.STD(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.STD(credit.AMT_PAYMENT_CURRENT))	MAX(previous.STD(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous.STD(credit.AMT_RECIVABLE))	MAX(previous.STD(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous.STD(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous.STD(credit.CNT_DRAWINGS_CURRENT))	MAX(previous.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous.STD(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous.STD(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous.STD(credit.MONTHS_BALANCE))	MAX(previous.STD(credit.SK_DPD))	MAX(previous.STD(credit.SK_DPD_DEF))	MAX(previous.STD(credit.SK_ID_CURR))	MAX(previous.STD(installments.AMT_INSTALMENT))	MAX(previous.STD(installments.AMT_PAYMENT))	MAX(previous.STD(installments.DAYS_ENTRY_PAYMENT))	MAX(previous.STD(installments.DAYS_INSTALMENT))	MAX(previous.STD(installments.NUM_INSTALMENT_NUMBER))	MAX(previous.STD(installments.NUM_INSTALMENT_VERSION))	MAX(previous.STD(installments.SK_ID_CURR))	MAX(previous.SUM(cash.CNT_INSTALMENT))	MAX(previous.SUM(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.SUM(cash.MONTHS_BALANCE))	MAX(previous.SUM(cash.SK_DPD))	MAX(previous.SUM(cash.SK_DPD_DEF))	MAX(previous.SUM(cash.SK_ID_CURR))	MAX(previous.SUM(credit.AMT_BALANCE))	MAX(previous.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.SUM(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.SUM(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.SUM(credit.AMT_PAYMENT_CURRENT))	MAX(previous.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous.SUM(credit.AMT_RECIVABLE))	MAX(previous.SUM(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	...	SKEW(previous.STD(cash.SK_DPD))	SKEW(previous.STD(cash.SK_DPD_DEF))	SKEW(previous.STD(cash.SK_ID_CURR))	SKEW(previous.STD(credit.AMT_BALANCE))	SKEW(previous.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	SKEW(previous.STD(credit.AMT_DRAWINGS_ATM_CURRENT))	SKEW(previous.STD(credit.AMT_DRAWINGS_CURRENT))	SKEW(previous.STD(credit.AMT_DRAWINGS_OTHER_CURRENT))	SKEW(previous.STD(credit.AMT_DRAWINGS_POS_CURRENT))	SKEW(previous.STD(credit.AMT_INST_MIN_REGULARITY))	SKEW(previous.STD(credit.AMT_PAYMENT_CURRENT))	SKEW(previous.STD(credit.AMT_PAYMENT_TOTAL_CURRENT))	SKEW(previous.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous.STD(credit.AMT_RECIVABLE))	SKEW(previous.STD(credit.AMT_TOTAL_RECEIVABLE))	SKEW(previous.STD(credit.CNT_DRAWINGS_ATM_CURRENT))	SKEW(previous.STD(credit.CNT_DRAWINGS_CURRENT))	SKEW(previous.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	SKEW(previous.STD(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous.STD(credit.CNT_INSTALMENT_MATURE_CUM))	SKEW(previous.STD(credit.MONTHS_BALANCE))	SKEW(previous.STD(credit.SK_DPD))	SKEW(previous.STD(credit.SK_DPD_DEF))	SKEW(previous.STD(credit.SK_ID_CURR))	SKEW(previous.STD(installments.AMT_INSTALMENT))	SKEW(previous.STD(installments.AMT_PAYMENT))	SKEW(previous.STD(installments.DAYS_ENTRY_PAYMENT))	SKEW(previous.STD(installments.DAYS_INSTALMENT))	SKEW(previous.STD(installments.NUM_INSTALMENT_NUMBER))	SKEW(previous.STD(installments.NUM_INSTALMENT_VERSION))	SKEW(previous.STD(installments.SK_ID_CURR))	SKEW(previous.SUM(cash.CNT_INSTALMENT))	SKEW(previous.SUM(cash.CNT_INSTALMENT_FUTURE))	SKEW(previous.SUM(cash.MONTHS_BALANCE))	SKEW(previous.SUM(cash.SK_DPD))	SKEW(previous.SUM(cash.SK_DPD_DEF))	SKEW(previous.SUM(cash.SK_ID_CURR))	SKEW(previous.SUM(credit.AMT_BALANCE))	SKEW(previous.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	SKEW(previous.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	SKEW(previous.SUM(credit.AMT_DRAWINGS_CURRENT))	SKEW(previous.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	SKEW(previous.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	SKEW(previous.SUM(credit.AMT_INST_MIN_REGULARITY))	SKEW(previous.SUM(credit.AMT_PAYMENT_CURRENT))	SKEW(previous.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	SKEW(previous.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous.SUM(credit.AMT_RECIVABLE))	SKEW(previous.SUM(credit.AMT_TOTAL_RECEIVABLE))	SKEW(previous.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	SKEW(previous.SUM(credit.CNT_DRAWINGS_CURRENT))	SKEW(previous.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	SKEW(previous.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	SKEW(previous.SUM(credit.MONTHS_BALANCE))	SKEW(previous.SUM(credit.SK_DPD))	SKEW(previous.SUM(credit.SK_DPD_DEF))	SKEW(previous.SUM(credit.SK_ID_CURR))	SKEW(previous.SUM(installments.AMT_INSTALMENT))	SKEW(previous.SUM(installments.AMT_PAYMENT))	SKEW(previous.SUM(installments.DAYS_ENTRY_PAYMENT))	SKEW(previous.SUM(installments.DAYS_INSTALMENT))	SKEW(previous.SUM(installments.NUM_INSTALMENT_NUMBER))	SKEW(previous.SUM(installments.NUM_INSTALMENT_VERSION))	SKEW(previous.SUM(installments.SK_ID_CURR))	STD(previous.COUNT(cash))	STD(previous.COUNT(credit))	STD(previous.COUNT(installments))	STD(previous.MAX(cash.CNT_INSTALMENT))	STD(previous.MAX(cash.CNT_INSTALMENT_FUTURE))	STD(previous.MAX(cash.MONTHS_BALANCE))	STD(previous.MAX(cash.SK_DPD))	STD(previous.MAX(cash.SK_DPD_DEF))	STD(previous.MAX(cash.SK_ID_CURR))	STD(previous.MAX(credit.AMT_BALANCE))	STD(previous.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous.MAX(credit.AMT_DRAWINGS_CURRENT))	STD(previous.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous.MAX(credit.AMT_INST_MIN_REGULARITY))	STD(previous.MAX(credit.AMT_PAYMENT_CURRENT))	STD(previous.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous.MAX(credit.AMT_RECIVABLE))	STD(previous.MAX(credit.AMT_TOTAL_RECEIVABLE))	STD(previous.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous.MAX(credit.CNT_DRAWINGS_CURRENT))	STD(previous.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous.MAX(credit.MONTHS_BALANCE))	STD(previous.MAX(credit.SK_DPD))	STD(previous.MAX(credit.SK_DPD_DEF))	STD(previous.MAX(credit.SK_ID_CURR))	STD(previous.MAX(installments.AMT_INSTALMENT))	STD(previous.MAX(installments.AMT_PAYMENT))	STD(previous.MAX(installments.DAYS_ENTRY_PAYMENT))	STD(previous.MAX(installments.DAYS_INSTALMENT))	STD(previous.MAX(installments.NUM_INSTALMENT_NUMBER))	STD(previous.MAX(installments.NUM_INSTALMENT_VERSION))	STD(previous.MAX(installments.SK_ID_CURR))	STD(previous.MEAN(cash.CNT_INSTALMENT))	STD(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	STD(previous.MEAN(cash.MONTHS_BALANCE))	STD(previous.MEAN(cash.SK_DPD))	STD(previous.MEAN(cash.SK_DPD_DEF))	STD(previous.MEAN(cash.SK_ID_CURR))	STD(previous.MEAN(credit.AMT_BALANCE))	STD(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	STD(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	STD(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	STD(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous.MEAN(credit.AMT_RECIVABLE))	STD(previous.MEAN(credit.AMT_TOTAL_RECEIVABLE))	STD(previous.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous.MEAN(credit.CNT_DRAWINGS_CURRENT))	STD(previous.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous.MEAN(credit.MONTHS_BALANCE))	STD(previous.MEAN(credit.SK_DPD))	STD(previous.MEAN(credit.SK_DPD_DEF))	STD(previous.MEAN(credit.SK_ID_CURR))	STD(previous.MEAN(installments.AMT_INSTALMENT))	STD(previous.MEAN(installments.AMT_PAYMENT))	STD(previous.MEAN(installments.DAYS_ENTRY_PAYMENT))	STD(previous.MEAN(installments.DAYS_INSTALMENT))	STD(previous.MEAN(installments.NUM_INSTALMENT_NUMBER))	STD(previous.MEAN(installments.NUM_INSTALMENT_VERSION))	STD(previous.MEAN(installments.SK_ID_CURR))	STD(previous.MIN(cash.CNT_INSTALMENT))	STD(previous.MIN(cash.CNT_INSTALMENT_FUTURE))	STD(previous.MIN(cash.MONTHS_BALANCE))	STD(previous.MIN(cash.SK_DPD))	STD(previous.MIN(cash.SK_DPD_DEF))	STD(previous.MIN(cash.SK_ID_CURR))	STD(previous.MIN(credit.AMT_BALANCE))	STD(previous.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous.MIN(credit.AMT_DRAWINGS_CURRENT))	STD(previous.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous.MIN(credit.AMT_INST_MIN_REGULARITY))	STD(previous.MIN(credit.AMT_PAYMENT_CURRENT))	STD(previous.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous.MIN(credit.AMT_RECIVABLE))	STD(previous.MIN(credit.AMT_TOTAL_RECEIVABLE))	STD(previous.MIN(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous.MIN(credit.CNT_DRAWINGS_CURRENT))	STD(previous.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous.MIN(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous.MIN(credit.MONTHS_BALANCE))	STD(previous.MIN(credit.SK_DPD))	STD(previous.MIN(credit.SK_DPD_DEF))	STD(previous.MIN(credit.SK_ID_CURR))	STD(previous.MIN(installments.AMT_INSTALMENT))	STD(previous.MIN(installments.AMT_PAYMENT))	STD(previous.MIN(installments.DAYS_ENTRY_PAYMENT))	STD(previous.MIN(installments.DAYS_INSTALMENT))	STD(previous.MIN(installments.NUM_INSTALMENT_NUMBER))	STD(previous.MIN(installments.NUM_INSTALMENT_VERSION))	STD(previous.MIN(installments.SK_ID_CURR))	STD(previous.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	STD(previous.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	STD(previous.SKEW(cash.CNT_INSTALMENT))	STD(previous.SKEW(cash.CNT_INSTALMENT_FUTURE))	STD(previous.SKEW(cash.MONTHS_BALANCE))	STD(previous.SKEW(cash.SK_DPD))	STD(previous.SKEW(cash.SK_DPD_DEF))	STD(previous.SKEW(cash.SK_ID_CURR))	STD(previous.SKEW(credit.AMT_BALANCE))	STD(previous.SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous.SKEW(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous.SKEW(credit.AMT_DRAWINGS_CURRENT))	STD(previous.SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous.SKEW(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous.SKEW(credit.AMT_INST_MIN_REGULARITY))	STD(previous.SKEW(credit.AMT_PAYMENT_CURRENT))	STD(previous.SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous.SKEW(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous.SKEW(credit.AMT_RECIVABLE))	STD(previous.SKEW(credit.AMT_TOTAL_RECEIVABLE))	STD(previous.SKEW(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous.SKEW(credit.CNT_DRAWINGS_CURRENT))	STD(previous.SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous.SKEW(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous.SKEW(credit.MONTHS_BALANCE))	STD(previous.SKEW(credit.SK_DPD))	STD(previous.SKEW(credit.SK_DPD_DEF))	STD(previous.SKEW(credit.SK_ID_CURR))	STD(previous.SKEW(installments.AMT_INSTALMENT))	STD(previous.SKEW(installments.AMT_PAYMENT))	STD(previous.SKEW(installments.DAYS_ENTRY_PAYMENT))	STD(previous.SKEW(installments.DAYS_INSTALMENT))	STD(previous.SKEW(installments.NUM_INSTALMENT_NUMBER))	STD(previous.SKEW(installments.NUM_INSTALMENT_VERSION))	STD(previous.SKEW(installments.SK_ID_CURR))	STD(previous.SUM(cash.CNT_INSTALMENT))	STD(previous.SUM(cash.CNT_INSTALMENT_FUTURE))	STD(previous.SUM(cash.MONTHS_BALANCE))	STD(previous.SUM(cash.SK_DPD))	STD(previous.SUM(cash.SK_DPD_DEF))	STD(previous.SUM(cash.SK_ID_CURR))	STD(previous.SUM(credit.AMT_BALANCE))	STD(previous.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous.SUM(credit.AMT_DRAWINGS_CURRENT))	STD(previous.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous.SUM(credit.AMT_INST_MIN_REGULARITY))	STD(previous.SUM(credit.AMT_PAYMENT_CURRENT))	STD(previous.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous.SUM(credit.AMT_RECIVABLE))	STD(previous.SUM(credit.AMT_TOTAL_RECEIVABLE))	STD(previous.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous.SUM(credit.CNT_DRAWINGS_CURRENT))	STD(previous.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous.SUM(credit.MONTHS_BALANCE))	STD(previous.SUM(credit.SK_DPD))	STD(previous.SUM(credit.SK_DPD_DEF))	STD(previous.SUM(credit.SK_ID_CURR))	STD(previous.SUM(installments.AMT_INSTALMENT))	STD(previous.SUM(installments.AMT_PAYMENT))	STD(previous.SUM(installments.DAYS_ENTRY_PAYMENT))	STD(previous.SUM(installments.DAYS_INSTALMENT))	STD(previous.SUM(installments.NUM_INSTALMENT_NUMBER))	STD(previous.SUM(installments.NUM_INSTALMENT_VERSION))	STD(previous.SUM(installments.SK_ID_CURR))	SUM(previous.MAX(cash.CNT_INSTALMENT))	SUM(previous.MAX(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MAX(cash.MONTHS_BALANCE))	SUM(previous.MAX(cash.SK_DPD))	SUM(previous.MAX(cash.SK_DPD_DEF))	SUM(previous.MAX(cash.SK_ID_CURR))	SUM(previous.MAX(credit.AMT_BALANCE))	SUM(previous.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MAX(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MAX(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MAX(credit.AMT_RECIVABLE))	SUM(previous.MAX(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MAX(credit.MONTHS_BALANCE))	SUM(previous.MAX(credit.SK_DPD))	SUM(previous.MAX(credit.SK_DPD_DEF))	SUM(previous.MAX(credit.SK_ID_CURR))	SUM(previous.MAX(installments.AMT_INSTALMENT))	SUM(previous.MAX(installments.AMT_PAYMENT))	SUM(previous.MAX(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MAX(installments.DAYS_INSTALMENT))	SUM(previous.MAX(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MAX(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MAX(installments.SK_ID_CURR))	SUM(previous.MEAN(cash.CNT_INSTALMENT))	SUM(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MEAN(cash.MONTHS_BALANCE))	SUM(previous.MEAN(cash.SK_DPD))	SUM(previous.MEAN(cash.SK_DPD_DEF))	SUM(previous.MEAN(cash.SK_ID_CURR))	SUM(previous.MEAN(credit.AMT_BALANCE))	SUM(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MEAN(credit.AMT_RECIVABLE))	SUM(previous.MEAN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MEAN(credit.MONTHS_BALANCE))	SUM(previous.MEAN(credit.SK_DPD))	SUM(previous.MEAN(credit.SK_DPD_DEF))	SUM(previous.MEAN(credit.SK_ID_CURR))	SUM(previous.MEAN(installments.AMT_INSTALMENT))	SUM(previous.MEAN(installments.AMT_PAYMENT))	SUM(previous.MEAN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MEAN(installments.DAYS_INSTALMENT))	SUM(previous.MEAN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MEAN(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MEAN(installments.SK_ID_CURR))	SUM(previous.MIN(cash.CNT_INSTALMENT))	SUM(previous.MIN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MIN(cash.MONTHS_BALANCE))	SUM(previous.MIN(cash.SK_DPD))	SUM(previous.MIN(cash.SK_DPD_DEF))	SUM(previous.MIN(cash.SK_ID_CURR))	SUM(previous.MIN(credit.AMT_BALANCE))	SUM(previous.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MIN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MIN(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MIN(credit.AMT_RECIVABLE))	SUM(previous.MIN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MIN(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MIN(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MIN(credit.MONTHS_BALANCE))	SUM(previous.MIN(credit.SK_DPD))	SUM(previous.MIN(credit.SK_DPD_DEF))	SUM(previous.MIN(credit.SK_ID_CURR))	SUM(previous.MIN(installments.AMT_INSTALMENT))	SUM(previous.MIN(installments.AMT_PAYMENT))	SUM(previous.MIN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MIN(installments.DAYS_INSTALMENT))	SUM(previous.MIN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MIN(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MIN(installments.SK_ID_CURR))	SUM(previous.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	SUM(previous.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	SUM(previous.SKEW(cash.CNT_INSTALMENT))	SUM(previous.SKEW(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.SKEW(cash.MONTHS_BALANCE))	SUM(previous.SKEW(cash.SK_DPD))	SUM(previous.SKEW(cash.SK_DPD_DEF))	SUM(previous.SKEW(cash.SK_ID_CURR))	SUM(previous.SKEW(credit.AMT_BALANCE))	SUM(previous.SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.SKEW(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.SKEW(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.SKEW(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.SKEW(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.SKEW(credit.AMT_PAYMENT_CURRENT))	SUM(previous.SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.SKEW(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.SKEW(credit.AMT_RECIVABLE))	SUM(previous.SKEW(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.SKEW(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.SKEW(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.SKEW(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.SKEW(credit.MONTHS_BALANCE))	SUM(previous.SKEW(credit.SK_DPD))	SUM(previous.SKEW(credit.SK_DPD_DEF))	SUM(previous.SKEW(credit.SK_ID_CURR))	SUM(previous.SKEW(installments.AMT_INSTALMENT))	SUM(previous.SKEW(installments.AMT_PAYMENT))	SUM(previous.SKEW(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.SKEW(installments.DAYS_INSTALMENT))	SUM(previous.SKEW(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.SKEW(installments.NUM_INSTALMENT_VERSION))	SUM(previous.SKEW(installments.SK_ID_CURR))	SUM(previous.STD(cash.CNT_INSTALMENT))	SUM(previous.STD(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.STD(cash.MONTHS_BALANCE))	SUM(previous.STD(cash.SK_DPD))	SUM(previous.STD(cash.SK_DPD_DEF))	SUM(previous.STD(cash.SK_ID_CURR))	SUM(previous.STD(credit.AMT_BALANCE))	SUM(previous.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.STD(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.STD(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.STD(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.STD(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.STD(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.STD(credit.AMT_PAYMENT_CURRENT))	SUM(previous.STD(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.STD(credit.AMT_RECIVABLE))	SUM(previous.STD(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.STD(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.STD(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.STD(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.STD(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.STD(credit.MONTHS_BALANCE))	SUM(previous.STD(credit.SK_DPD))	SUM(previous.STD(credit.SK_DPD_DEF))	SUM(previous.STD(credit.SK_ID_CURR))	SUM(previous.STD(installments.AMT_INSTALMENT))	SUM(previous.STD(installments.AMT_PAYMENT))	SUM(previous.STD(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.STD(installments.DAYS_INSTALMENT))	SUM(previous.STD(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.STD(installments.NUM_INSTALMENT_VERSION))	SUM(previous.STD(installments.SK_ID_CURR))	MAX(cash.previous.AMT_ANNUITY)	MAX(cash.previous.AMT_APPLICATION)	MAX(cash.previous.AMT_CREDIT)	MAX(cash.previous.AMT_DOWN_PAYMENT)	MAX(cash.previous.AMT_GOODS_PRICE)	MAX(cash.previous.CNT_PAYMENT)	MAX(cash.previous.DAYS_DECISION)	MAX(cash.previous.DAYS_FIRST_DRAWING)	MAX(cash.previous.DAYS_FIRST_DUE)	MAX(cash.previous.DAYS_LAST_DUE)	MAX(cash.previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(cash.previous.DAYS_TERMINATION)	MAX(cash.previous.HOUR_APPR_PROCESS_START)	MAX(cash.previous.NFLAG_INSURED_ON_APPROVAL)	MAX(cash.previous.NFLAG_LAST_APPL_IN_DAY)	MAX(cash.previous.RATE_DOWN_PAYMENT)	MAX(cash.previous.RATE_INTEREST_PRIMARY)	MAX(cash.previous.RATE_INTEREST_PRIVILEGED)	MAX(cash.previous.SELLERPLACE_AREA)	MEAN(cash.previous.AMT_ANNUITY)	MEAN(cash.previous.AMT_APPLICATION)	MEAN(cash.previous.AMT_CREDIT)	MEAN(cash.previous.AMT_DOWN_PAYMENT)	MEAN(cash.previous.AMT_GOODS_PRICE)	MEAN(cash.previous.CNT_PAYMENT)	MEAN(cash.previous.DAYS_DECISION)	MEAN(cash.previous.DAYS_FIRST_DRAWING)	MEAN(cash.previous.DAYS_FIRST_DUE)	MEAN(cash.previous.DAYS_LAST_DUE)	MEAN(cash.previous.DAYS_LAST_DUE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SK_ID_CURR
100002	1	Cash loans	M	N	Y	0	202500.0	406597.5	24700.5	351000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.018801	-9461	-637	-3648.0	-2120	<NA>	1	1	0	1	1	0	Laborers	1.0	2	2	WEDNESDAY	10	0	0	0	0	0	0	Business Entity Type 3	0.083037	0.262949	0.139376	0.0247	0.0369	0.9722	0.6192	0.0143	0.00	0.0690	0.0833	0.1250	0.0369	0.0202	0.0190	0.0000	0.0000	0.0252	0.0383	0.9722	0.6341	0.0144	0.0000	0.0690	0.0833	0.1250	0.0377	0.022	0.0198	0.0	0.0	0.0250	0.0369	0.9722	0.6243	0.0144	0.00	0.0690	0.0833	0.1250	0.0375	0.0205	0.0193	0.0000	0.00	reg oper account	block of flats	0.0149	Stone, brick	No	2	2	2	2	-1134.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	train	8	0.0	5043.645	450000.0	245781.0	31988.565	0.0	0.0	0.0	-103.0	780.0	-7.0	-36.0	0.0	1681.029	108131.945625	49156.200000	7997.14125	0.0	0.0	0.0	-874.000000	-349.000000	-499.875000	-697.500000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1437.0	-1072.0	-1185.0	-1185.0	Closed	currency 1	Consumer credit	2	1	2	0.0	0.900239	2.272764	2.236068	2.0	0.0	0.0	0.0	0.745789	0.469639	-0.191436	0.827207	0.0	2363.246900	146075.557435	109916.604716	15994.2825	0.0	0.0	0.0	431.451040	767.490977	518.522472	515.992539	0.0	8405.145	865055.565	245781.0	31988.565	0.0	0.0	0.0	-6992.0	-2094.0	-3999.0	-4185.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	1	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.000000	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.0	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	0.0	0.0	500.0	19	24.0	24.0	-1.0	0.0	0.0	100002.0	24.000000	15.000000	-10.000000	0.000000	0.000000	100002.0	24.0	6.0	-19.0	0.0	0.0	100002.0	Active	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	5.627314	5.627314	0.000000	0.000000	0.0	456.0	285.0	-190.0	0.0	0.0	1900038.0	19	53093.745	53093.745	-49.0	-25.0	19.0	2.0	100002.0	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	9251.775	9251.775	-587.0	-565.0	1.0	1.0	100002.0	4.358899	4.358899	-0.008503	0.000000	0.000000	4.358899	0.0	10058.037722	10058.037722	172.058877	168.819430	5.627314	0.229416	0.0	219625.695	219625.695	-5993.0	-5605.0	190.0	20.0	1900038.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19.0	0.0	19.0	24.000000	15.000000	-10.0	0.000000	0.000000	100002.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	24.0	6.0	-19.0	0.0	0.0	100002.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	9251.775	9251.775	-587.0	-565.0	1.0	1.0	100002.0	1.0	NaN	0.000000	0.000000	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4.358899	4.358899	-0.008503	0.000000	0.000000	4.358899	0.0	0.000000	5.627314	5.627314	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	10058.037722	10058.037722	172.058877	168.819430	5.627314	0.229416	0.0	456.0	285.0	-190.0	0.0	0.0	1900038.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	24.0	24.0	-1.0	0.0	0.0	100002.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	53093.745	53093.745	-49.0	-25.0	19.0	2.0	100002.0	24.000000	15.000000	-10.0	0.000000	0.000000	100002.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	24.0	6.0	-19.0	0.0	0.0	100002.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	9251.775	9251.775	-587.0	-565.0	1.0	1.0	100002.0	1.0	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	4.358899	4.358899	-0.008503	0.000000	0.000000	4.358899	0.0	0.000000	5.627314	5.627314	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	10058.037722	10058.037722	172.058877	168.819430	5.627314	0.229416	0.0	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.0	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	175783.725	3402045.00	3402045.0	0.00	3402045.00	456.0	-11514.0	6939617.0	-10735.0	-475.0	2375.0	-323.0	171.0	0.0	19.0	0.000000	0.0	0.0	9500.0	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.000000	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	175783.725	3402045.0	3402045.0	0.0	3402045.0	456.0	-11514.0	6939617.0	-10735.0	-475.0	2375.0	-323.0	171.0	0.0	19.0	0.000000	0.0	0.0	9500.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100003	0	Cash loans	F	N	N	0	270000.0	1293502.5	35698.5	1129500.0	Family	State servant	Higher education	Married	House / apartment	0.003541	-16765	-1188	-1186.0	-291	<NA>	1	1	0	1	1	0	Core staff	2.0	1	1	MONDAY	11	0	0	0	0	0	0	School	0.311267	0.622246	NaN	0.0959	0.0529	0.9851	0.7960	0.0605	0.08	0.0345	0.2917	0.3333	0.0130	0.0773	0.0549	0.0039	0.0098	0.0924	0.0538	0.9851	0.8040	0.0497	0.0806	0.0345	0.2917	0.3333	0.0128	0.079	0.0554	0.0	0.0	0.0968	0.0529	0.9851	0.7987	0.0608	0.08	0.0345	0.2917	0.3333	0.0132	0.0787	0.0558	0.0039	0.01	reg oper account	block of flats	0.0714	Block	No	1	0	1	0	-828.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	4	NaN	0.000	810000.0	0.0	810000.000	0.0	0.0	0.0	-606.0	1216.0	-43.0	-540.0	NaN	0.000	254350.125000	0.000000	202500.00000	0.0	0.0	0.0	-1400.750000	-544.500000	-816.000000	-1097.333333	NaN	0.0	22248.0	0.0	0.0	0.0	0.0	0.0	-2586.0	-2434.0	-2131.0	-2131.0	Closed	currency 1	Consumer credit	2	1	2	NaN	0.000000	1.940897	0.000000	2.0	0.0	0.0	0.0	-0.824171	-0.258046	-1.577921	-1.716143	NaN	0.000000	372269.465535	0.000000	405000.0000	0.0	0.0	0.0	909.826128	1492.770467	908.053963	896.097279	0.0	0.000	1017400.500	0.0	810000.000	0.0	0.0	0.0	-5603.0	-2178.0	-3264.0	-3292.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	3	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	56553.990000	435436.500000	484191.000000	3442.500000	435436.500000	10.000000	-1305.000000	365243.000000	-1274.333333	-1054.333333	-1004.333333	-1047.333333	14.666667	0.666667	1.0	0.050030	NaN	NaN	533.000000	6737.310	68809.5	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	Cash X-Sell: low	FRIDAY	3	1	1	2	2	1	2	3	2	2	2	3	2	2	3	3	-0.755036	0.983632	1.134225	NaN	0.983632	-1.732051	-1.715822	0.000000	-1.716204	-1.694945	-1.552233	-1.694520	-0.585583	-1.732051	0.0	NaN	NaN	NaN	1.595880	46332.557777	424161.620549	497949.861808	4868.430188	424161.620549	3.464102	898.138631	0.000000	897.827563	803.569744	854.970370	806.196213	2.516611	0.577350	0.0	0.070754	NaN	NaN	757.540098	169661.970	1306309.50	1452573.0	6885.00	1306309.50	30.0	-3915.0	1095729.0	-3823.0	-3163.0	-3013.0	-3142.0	44.0	2.0	3.0	0.100061	0.0	0.0	1599.0	28	12.0	12.0	-18.0	0.0	0.0	100003.0	10.107143	5.785714	-43.785714	0.000000	0.000000	100003.0	6.0	0.0	-77.0	0.0	0.0	100003.0	Active	2	-0.821617	0.028531	-0.309711	0.000000	0.000000	0.0	2.806597	3.842811	24.640162	0.000000	0.000000	0.0	283.0	162.0	-1226.0	0.0	0.0	2800084.0	25	560835.360	560835.360	-544.0	-536.0	12.0	2.0	100003.0	64754.586000	64754.586000	-1385.320000	-1378.160000	5.080000	1.040000	100003.0	6662.970	6662.970	-2324.0	-2310.0	1.0	1.0	100003.0	4.022295	4.022295	-0.099744	-0.098554	0.643067	5.000000	0.0	110542.592300	110542.592300	757.325432	757.453556	3.134751	0.200000	0.0	1618864.650	1618864.650	-34633.0	-34454.0	127.0	26.0	2500075.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	12.0	0.0	12.0	12.000000	7.875000	-21.5	0.000000	0.000000	100003.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	164425.332857	164425.332857	-630.428571	-626.000000	6.500000	1.142857	100003.0	12.0	1.0	-25.0	0.0	0.0	100003.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	98356.995	98356.995	-719.0	-716.0	1.0	1.0	100003.0	2.0	NaN	0.000000	0.226250	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.645751	2.645751	-0.025630	0.000000	0.000000	2.645751	0.0	1.767767	3.758324	3.605551	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	174800.391505	174800.391505	111.245940	108.166538	3.605551	0.377964	0.0	144.0	78.0	-172.0	0.0	0.0	1200036.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.732049	1.732049	1.542377	1.544987	1.544987	1.732051	0.0	0.310437	-1.243537	-1.724649	0.000000	0.0	1.732051	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.149827	1.149827	-1.732048	-1.732019	1.633768	0.935220	1.545393	2.309401	0.0	3.214550	3.464102	3.464102	26.888659	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	304590.058952	304590.058952	800.327641	803.569744	3.214550	0.577350	0.0	3.298516	2.722399	28.041636	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	79779.051329	79779.051329	850.230624	850.637604	1.607275	0.082479	0.0	3.214550	0.577350	29.194748	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	46347.512604	46347.512604	902.581298	897.827563	0.0	0.00000	0.0	0.577350	NaN	1.632993	0.868001	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.274172	3.274172	0.005698	0.000000	0.000000	1.527525	0.0	48.086727	29.546573	389.319064	0.000000	0.0	2.309470e+05	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	551160.640812	551160.640812	12363.957996	12345.506119	31.085902	3.055050	3.214647e+05	30.0	30.0	-105.0	0.0	0.0	300009.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	632140.335	632140.335	-3190.0	-3163.0	25.0	4.0	300009.0	29.375000	17.000000	-117.5	0.000000	0.000000	300009.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	235675.437857	235675.437857	-3515.345238	-3493.000000	14.000000	3.142857	300009.0	25.0	1.0	-130.0	0.0	0.0	300009.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	169295.580	169295.580	-3849.0	-3823.0	3.0	3.0	300009.0	5.0	0.0	-2.828427	-1.151223	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	-3.267840	-3.267840	-0.089673	0.000000	0.000000	2.645751	0.0	1.767767	9.627722	8.504531	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	174941.080528	174941.080528	229.140410	229.098806	7.636627	0.377964	0.0	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	49437.321429	383061.214286	424742.785714	4131.000000	383061.214286	10.285714	-1453.000000	365243.0	-1422.285714	-1186.571429	-1143.714286	-1180.000000	14.714286	0.714286	1.0	0.060036	NaN	NaN	485.428571	6737.310	68809.50	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	3	1	1	2	2	1	2	3	2	2	2	3	2	2	3	3	0.018939	0.671175	0.734160	-0.442124	0.671175	-1.003249	-0.300085	0.0	-0.300207	-0.293394	-0.247388	-0.293258	-0.350010	-1.003249	0.0	-0.442124	NaN	NaN	0.931131	39840.415820	351687.041988	411005.640609	3460.570990	351687.041988	2.760262	783.778124	0.0	783.510942	701.041312	744.344945	703.328383	1.940927	0.460044	0.0	0.050293	NaN	NaN	595.105433	1384245.000	10725714.00	11892798.0	82620.00	10725714.00	288.0	-40684.0	10226804.0	-39824.0	-33224.0	-32024.0	-33040.0	412.0	20.0	28.0	1.200727	0.0	0.0	13592.0	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	46270.107000	366028.560000	406385.640000	4590.000000	366028.560000	10.560000	-1531.280000	365243.000000	-1500.560000	-1255.760000	-1213.760000	-1249.400000	14.640000	0.760000	1.0	0.066707	NaN	NaN	431.720000	6737.310	68809.50	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	3	1	1	2	2	1	2	3	2	2	2	3	2	2	3	3	0.191163	0.746322	0.801302	-0.773082	0.746322	-1.296698	-0.080699	0.000000	-0.080806	-0.074847	-0.035021	-0.074728	-0.342966	-1.296698	0.0	-0.773082	NaN	NaN	1.206924	40699.209425	357119.949450	416707.951303	3339.715557	357119.949450	2.615339	794.565579	0.000000	794.277401	711.342526	757.437912	713.673945	1.868154	0.435890	0.0	0.048537	NaN	NaN	562.007304	1156752.675	9150714.0	10159641.0	82620.0	9150714.0	264.0	-38282.0	9131075.0	-37514.0	-31394.0	-30344.0	-31235.0	366.0	19.0	25.0	1.200727	0.0	0.0	10793.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100004	0	Revolving loans	M	Y	Y	0	67500.0	135000.0	6750.0	135000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.010032	-19046	-225	-4260.0	-2531	26	1	1	1	1	1	0	Laborers	1.0	2	2	MONDAY	9	0	0	0	0	0	0	Government	NaN	0.555912	0.729567	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-815.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	2	NaN	0.000	94537.8	0.0	0.000	0.0	0.0	0.0	-408.0	-382.0	-382.0	-382.0	NaN	0.000	94518.900000	0.000000	0.00000	0.0	0.0	0.0	-867.000000	-488.500000	-532.000000	-532.500000	NaN	0.0	94500.0	0.0	0.0	0.0	0.0	0.0	-1326.0	-595.0	-682.0	-683.0	Closed	currency 1	Consumer credit	1	1	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	26.728636	0.000000	0.0000	0.0	0.0	0.0	649.124025	150.613744	212.132034	212.839141	0.0	0.000	189037.800	0.0	0.000	0.0	0.0	0.0	-1734.0	-977.0	-1064.0	-1065.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	1	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.000000	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.0	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	0.0	0.0	30.0	4	4.0	4.0	-24.0	0.0	0.0	100004.0	3.750000	2.250000	-25.500000	0.000000	0.000000	100004.0	3.0	0.0	-27.0	0.0	0.0	100004.0	Active	2	-2.000000	-0.752837	0.000000	0.000000	0.000000	0.0	0.500000	1.707825	1.290994	0.000000	0.000000	0.0	15.0	9.0	-102.0	0.0	0.0	400016.0	3	10573.965	10573.965	-727.0	-724.0	3.0	2.0	100004.0	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	5357.250	5357.250	-795.0	-784.0	1.0	1.0	100004.0	1.732051	1.732051	0.176098	0.000000	0.000000	1.732051	0.0	3011.871810	3011.871810	34.019602	30.000000	1.000000	0.577350	0.0	21288.465	21288.465	-2285.0	-2262.0	6.0	4.0	300012.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	4.0	0.0	3.0	3.750000	2.250000	-25.5	0.000000	0.000000	100004.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	3.0	0.0	-27.0	0.0	0.0	100004.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5357.250	5357.250	-795.0	-784.0	1.0	1.0	100004.0	2.0	NaN	-2.000000	-0.752837	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.732051	1.732051	0.176098	0.000000	0.000000	1.732051	0.0	0.500000	1.707825	1.290994	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3011.871810	3011.871810	34.019602	30.000000	1.000000	0.577350	0.0	15.0	9.0	-102.0	0.0	0.0	400016.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4.0	4.0	-24.0	0.0	0.0	100004.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	10573.965	10573.965	-727.0	-724.0	3.0	2.0	100004.0	3.750000	2.250000	-25.5	0.000000	0.000000	100004.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	3.0	0.0	-27.0	0.0	0.0	100004.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	5357.250	5357.250	-795.0	-784.0	1.0	1.0	100004.0	2.0	0.0	-2.000000	-0.752837	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	1.732051	1.732051	0.176098	0.000000	0.000000	1.732051	0.0	0.500000	1.707825	1.290994	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	3011.871810	3011.871810	34.019602	30.000000	1.000000	0.577350	0.0	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.0	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	21429.000	97128.00	80424.0	19440.00	97128.00	16.0	-3260.0	1460972.0	-3136.0	-2896.0	-2776.0	-2856.0	20.0	0.0	4.0	0.848030	0.0	0.0	120.0	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.000000	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	16071.750	72846.0	60318.0	14580.0	72846.0	12.0	-2445.0	1095729.0	-2352.0	-2172.0	-2082.0	-2142.0	15.0	0.0	3.0	0.636023	0.0	0.0	90.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100006	0	Cash loans	F	N	Y	0	135000.0	312682.5	29686.5	297000.0	Unaccompanied	Working	Secondary / secondary special	Civil marriage	House / apartment	0.008019	-19005	-3039	-9833.0	-2437	<NA>	1	1	0	1	0	0	Laborers	2.0	2	2	WEDNESDAY	17	0	0	0	0	0	0	Business Entity Type 3	NaN	0.650442	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-617.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	train	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.000	0.000	0.0	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	9	39954.510	688500.0	906615.0	66987.0	688500.0	48.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	23651.175000	272203.260000	291695.500000	34840.170000	408304.890000	23.000000	-272.444444	365243.000000	91066.500000	182477.500000	91584.000000	182481.750000	14.666667	0.000000	1.0	0.163412	NaN	NaN	894.222222	2482.920	0.0	0.0	2693.34	26912.34	0.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	12.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	XNA	Cash	XNA	XNA	Unaccompanied	XNA	Cash	THURSDAY	3	2	1	2	2	3	3	3	2	4	2	3	2	4	7	4	-0.629105	0.469986	0.876733	NaN	-0.320755	0.590607	-1.691403	0.000000	1.999995	-0.000001	1.999926	-0.000001	-3.000000	0.000000	0.0	NaN	NaN	NaN	2.999915	13623.580119	286175.129541	333337.354853	45462.482973	253670.602059	20.228692	157.236375	0.000000	182784.406836	211039.450892	182440.462007	211034.543200	1.000000	0.000000	0.0	0.076958	NaN	NaN	2674.061320	141907.050	2449829.34	2625259.5	69680.34	2449829.34	138.0	-2452.0	1460972.0	364266.0	729910.0	366336.0	729927.0	132.0	0.0	9.0	0.326824	0.0	0.0	8048.0	21	48.0	48.0	-1.0	0.0	0.0	100006.0	12.000000	8.650000	-9.619048	0.000000	0.000000	100006.0	1.0	0.0	-20.0	0.0	0.0	100006.0	Active	3	3.169768	3.236223	-0.352291	0.000000	0.000000	0.0	9.279292	10.163272	6.078455	0.000000	0.000000	0.0	240.0	173.0	-202.0	0.0	0.0	2100126.0	16	691786.890	691786.890	-12.0	-11.0	10.0	2.0	100006.0	62947.088438	62947.088438	-271.625000	-252.250000	4.437500	1.125000	100006.0	2482.920	2482.920	-575.0	-545.0	1.0	1.0	100006.0	3.966549	3.966549	-0.507047	-0.438026	0.552361	2.509457	0.0	168097.624347	168097.624347	198.045744	178.373204	2.897556	0.341565	0.0	1007153.415	1007153.415	-4346.0	-4036.0	71.0	18.0	1600096.0	6	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	0.0	NaN	0.0	NaN	NaN	0.0	-1.0	0.0	0.0	100006.0	0.000000	270000.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	-3.5	0.0	0.0	100006.0	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.000	0.000	NaN	0.0	NaN	NaN	0.0	-6.0	0.0	0.0	100006.0	Active	1	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	0.0	0.0	0.0	0.0	0.00000	0.00000	NaN	0.000000	NaN	NaN	0.00000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	1.870829	0.0	0.0	0.0	0.000	1620000.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	-21.0	0.0	0.0	600036.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	10.0	6.0	10.0	16.666667	16.000000	-5.0	0.000000	0.000000	100006.0	0.000000	270000.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	-3.5	0.0	0.0	100006.0	691786.890000	691786.890000	-150.500000	-146.000000	5.500000	2.000000	100006.0	12.0	3.0	-6.0	0.0	0.0	100006.0	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.000	0.000	NaN	0.0	NaN	NaN	0.0	-6.0	0.0	0.0	100006.0	691786.890	691786.890	-174.0	-151.0	1.0	2.0	100006.0	3.0	1.0	1.732051	1.732051	0.0	0.000000	0.000000	0.0	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	0.0	0.0	0.0	0.0	2.236068	2.236068	1.792160	0.000000	0.000000	2.236068	0.0	27.135463	27.712813	3.027650	0.000000	0.000000	0.0	0.00000	0.00000	NaN	0.000000	NaN	NaN	0.00000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	1.870829	0.0	0.0	0.0	5669.203766	5669.203766	92.483332	90.829511	3.027650	0.447214	0.0	120.0	75.0	0.0	0.0	0.0	1000060.0	0.000	1620000.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.509608	1.117049	-2.272150	0.000000	0.0	1.466061	0.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-3.0	0.0	0.0	3.0	2.302438	2.302438	-1.983992	-1.917487	2.648162	1.810395	2.095129	3.937004	2.0	3.492054	20.784610	20.784610	6.244998	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	386709.781179	386709.781179	215.025580	210.583317	4.509250	0.577350	0.0	3.421068	5.013757	6.500000	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	389760.090982	389760.090982	214.605460	194.294450	2.254625	0.529150	0.0	5.567764	1.732051	7.211103	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	390532.662179	390532.662179	207.051523	200.761882	0.0	0.57735	0.0	1.000000	NaN	1.487928	1.362314	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.581139	1.581139	1.220648	0.000000	0.000000	1.581139	0.0	43.874822	29.798397	44.916899	0.000000	0.0	3.937240e+05	0.000000e+00	540000.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	7.0	0.0	0.0	200012.0	237368.890892	237368.890892	955.873611	882.121323	18.340150	3.605551	3.492264e+05	72.0	72.0	-18.0	0.0	0.0	300018.0	0.0	270000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	100006.0	735974.055	735974.055	-624.0	-587.0	16.0	5.0	300018.0	38.666667	30.642857	-27.0	0.000000	0.000000	300018.0	0.000000	270000.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	-3.5	0.0	0.0	100006.0	725832.675000	725832.675000	-857.900000	-782.000000	9.500000	4.200000	300018.0	18.0	3.0	-36.0	0.0	0.0	300018.0	0.0	270000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	-6.0	0.0	0.0	100006.0	723297.330	723297.330	-1034.0	-977.0	3.0	4.0	300018.0	6.0	1.0	0.502417	0.776621	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	2.236068	2.236068	1.858063	0.000000	0.000000	2.236068	0.0	30.551113	35.787858	6.477140	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	1.870829	0.0	0.0	0.0	5669.203766	5669.203766	148.338502	138.263676	4.608789	0.447214	0.0	29027.520	675000.0	675000.0	66987.0	675000.0	48.0	-181.0	365243.0	-151.0	365243.0	1259.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	18232.217143	266165.177143	233240.571429	38412.040000	266165.177143	17.142857	-409.000000	365243.0	-363.000000	173741.761905	121.285714	173746.333333	15.000000	0.000000	1.0	0.169459	NaN	NaN	3832.714286	2482.920	26912.34	24219.0	2693.34	26912.34	12.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	15.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	high	POS household with interest	SUNDAY	3	1	1	2	2	1	2	3	2	2	2	3	2	3	3	3	-0.478886	0.483007	0.997562	-0.244470	0.483007	2.201737	-0.288761	0.0	-0.218813	0.102842	1.907783	0.102842	0.000000	0.000000	0.0	-0.244470	NaN	NaN	0.102823	12763.630507	224348.081032	217601.456948	32873.990817	224348.081032	12.908469	172.931200	0.0	152.817538	187098.344123	491.941983	187093.877639	0.000000	0.000000	0.0	0.055649	NaN	NaN	4095.911243	382876.560	5589468.72	4898052.0	691416.72	5589468.72	360.0	-8589.0	7670103.0	-7623.0	3648577.0	2547.0	3648673.0	315.0	0.0	21.0	3.050253	0.0	0.0	80487.0	29027.520	675000.0	675000.0	66987.0	675000.0	48.0	-181.0	365243.0	-151.0	365243.0	1259.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	20433.487500	259920.731250	217212.187500	45555.780000	259920.731250	14.250000	-398.500000	365243.000000	-355.375000	228134.625000	42.125000	228137.937500	15.000000	0.000000	1.0	0.181551	NaN	NaN	5024.937500	2482.920	26912.34	24219.0	2693.34	26912.34	12.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	15.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	high	POS household with interest	SUNDAY	3	1	1	2	2	1	2	3	2	2	2	3	2	3	3	3	-0.867018	0.156229	0.991460	-0.788227	0.156229	4.000000	-0.713026	0.000000	-0.651437	-0.571429	3.116146	-0.571429	0.000000	0.000000	0.0	-0.788227	NaN	NaN	-0.571440	12554.477463	182574.141027	167635.417584	31372.093742	182574.141027	9.000000	155.473470	0.000000	135.861142	182811.178074	347.546040	182806.761325	0.000000	0.000000	0.0	0.053106	NaN	NaN	4000.090007	326935.800	4158731.7	3475395.0	683336.7	4158731.7	228.0	-6376.0	5843888.0	-5686.0	3650154.0	674.0	3650207.0	240.0	0.0	16.0	2.723270	0.0	0.0	80399.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	Unaccompanied	XNA	Card X-Sell	THURSDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0.0	0.0	0.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	0.0	81000.0	1620000.0	1620000.0	0.0	1620000.0	0.0	-1086.0	2191458.0	2191458.0	2191458.0	2191458.0	2191458.0	90.0	0.0	6.0	0.0	0.0	0.0	-6.0
100007	0	Cash loans	M	N	Y	0	121500.0	513000.0	21865.5	513000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.028663	-19932	-3038	-4311.0	-3458	<NA>	1	1	0	1	0	0	Core staff	1.0	2	2	THURSDAY	11	0	0	0	0	1	1	Religion	NaN	0.322738	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-1106.0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	1	NaN	0.000	146250.0	0.0	0.000	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	NaN	0.000	146250.000000	0.000000	0.00000	0.0	0.0	0.0	-1149.000000	-783.000000	-783.000000	-783.000000	NaN	0.0	146250.0	0.0	0.0	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	Closed	currency 1	Consumer credit	1	1	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.000	146250.000	0.0	0.000	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	6	22678.785	247500.0	284400.0	3676.5	247500.0	48.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12278.805000	150530.250000	166638.750000	3390.750000	150530.250000	20.666667	-1222.833333	365243.000000	-1263.200000	72136.200000	-837.200000	72143.800000	12.333333	0.600000	1.0	0.159516	NaN	NaN	409.166667	1834.290	17176.5	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Family	high	Cash X-Sell: middle	SUNDAY	4	1	1	2	2	1	2	2	2	2	3	3	2	2	4	5	-0.308201	-0.762988	-0.551923	NaN	-0.762988	1.820398	-0.745395	0.000000	-0.393698	2.235980	-0.103774	2.235981	-1.138908	-0.608581	0.0	NaN	NaN	NaN	0.963514	8063.586466	100585.988276	118032.409509	404.111525	100585.988276	14.348054	717.268546	0.000000	777.378415	163852.966178	932.826458	163848.705729	2.503331	0.547723	0.0	0.083967	NaN	NaN	612.914812	73672.830	903181.50	999832.5	6781.50	903181.50	124.0	-7337.0	1826215.0	-6316.0	360681.0	-4186.0	360719.0	74.0	3.0	6.0	0.319033	0.0	0.0	2455.0	66	24.0	24.0	-1.0	0.0	0.0	100007.0	15.333333	8.969697	-33.636364	0.000000	0.000000	100007.0	10.0	0.0	-77.0	0.0	0.0	100007.0	Active	3	0.748990	0.586602	-0.497854	0.000000	0.000000	0.0	4.884302	6.312307	22.589062	0.000000	0.000000	0.0	1012.0	592.0	-2220.0	0.0	0.0	6600462.0	66	22678.785	22678.785	-14.0	-14.0	17.0	2.0	100007.0	12666.444545	12214.060227	-1032.242424	-1028.606061	7.045455	1.166667	100007.0	1821.780	0.180	-2318.0	-2326.0	1.0	1.0	100007.0	-0.286893	-0.262860	-0.419285	-0.429884	0.305102	1.830727	0.0	7852.910669	8048.060877	679.657245	682.127529	4.092890	0.375534	0.0	835985.340	806127.975	-68128.0	-67888.0	465.0	77.0	6600462.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	18.0	0.0	17.0	24.000000	18.500000	-6.5	0.000000	0.000000	100007.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	22663.931538	20919.409615	-181.250000	-179.000000	9.000000	1.647059	100007.0	24.0	13.0	-12.0	0.0	0.0	100007.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	22485.690	16046.100	-348.0	-344.0	1.0	1.0	100007.0	3.0	NaN	0.773082	0.088554	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000000	0.000000	0.105214	0.094443	0.094443	0.000000	0.0	0.485071	5.742002	5.338539	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	112.415262	6278.775766	149.323376	151.492574	5.049752	0.492592	0.0	312.0	222.0	0.0	0.0	0.0	1800126.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.353779	2.023731	1.150540	1.281383	1.281383	2.236068	0.0	-0.090647	0.625006	0.024577	0.000000	0.0	-1.350000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.191609	0.161365	-0.022545	-0.035941	-0.082078	0.557317	-1.605859	6.000000	0.0	5.865151	5.761944	5.761944	27.101660	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	9006.439757	9006.439757	812.989422	821.286308	2.607681	0.447214	0.0	5.688194	5.489131	26.299715	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8999.969589	8634.953456	792.114868	795.134247	1.346359	0.289374	0.0	5.656854	5.718391	25.557778	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8904.566305	8481.885674	772.122270	777.378415	0.0	0.00000	0.0	0.836660	NaN	0.345733	0.039602	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.619674	1.619612	0.149075	0.127444	0.127444	0.302626	0.0	116.849761	79.179964	297.518403	0.000000	0.0	6.000420e+05	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	133230.490857	129152.816881	9320.836565	9323.365887	50.441055	8.998148	5.865562e+05	76.0	76.0	-150.0	0.0	0.0	500035.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	60661.845	60661.845	-4587.0	-4576.0	63.0	6.0	500035.0	75.333333	44.833333	-180.5	0.000000	0.000000	500035.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	60614.978690	58357.701052	-5453.842696	-5439.406593	34.219780	5.647059	500035.0	75.0	14.0	-211.0	0.0	0.0	500035.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	59968.260	33928.830	-6352.0	-6316.0	5.0	5.0	500035.0	9.0	0.0	0.773082	0.088554	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	-13.185756	-13.185181	-0.175602	-0.151850	-0.151850	-0.676692	0.0	0.485071	20.164085	19.760622	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	178.815771	7701.545292	575.797693	575.253295	19.175110	0.492592	0.0	22678.785	247500.0	274288.5	3676.5	247500.0	24.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12872.901136	142686.818182	149734.636364	3353.478261	142686.818182	15.515152	-1227.121212	365243.0	-1196.303030	65575.878788	-760.848485	65583.212121	12.318182	0.530303	1.0	0.151772	NaN	NaN	519.151515	1834.290	17176.50	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Unaccompanied	high	Cash X-Sell: middle	SUNDAY	3	1	1	2	2	1	2	2	2	2	3	3	2	2	4	4	-0.345958	-0.447147	-0.321484	0.281842	-0.447147	0.623217	-0.461080	0.0	-0.462026	1.688471	-0.241671	1.688472	-0.729598	-0.124278	0.0	0.281842	NaN	NaN	0.310348	7789.770899	89706.765749	98166.963979	289.676092	89706.765749	4.962141	654.620090	0.0	654.177510	142348.106427	787.638422	142344.612945	2.518602	0.502905	0.0	0.060189	NaN	NaN	589.241161	849611.475	9417330.00	9882486.0	77130.00	9417330.00	1024.0	-80990.0	24106038.0	-78956.0	4328008.0	-50216.0	4328492.0	813.0	35.0	66.0	3.490757	0.0	0.0	34264.0	22678.785	247500.0	274288.5	3676.5	247500.0	24.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12677.324318	140429.318182	147471.954545	3343.125000	140429.318182	15.424242	-1240.803030	365243.000000	-1209.969697	65559.939394	-777.242424	65567.303030	12.333333	0.530303	1.0	0.149621	NaN	NaN	501.772727	1834.290	17176.50	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Unaccompanied	high	Cash X-Sell: middle	SUNDAY	3	1	1	2	2	1	2	2	2	2	3	3	2	2	4	4	-0.287537	-0.387434	-0.269097	0.361030	-0.387434	0.668933	-0.404447	0.000000	-0.405412	1.688472	-0.186916	1.688473	-0.722516	-0.124278	0.0	0.361030	NaN	NaN	0.374826	7858.794894	90623.392051	99174.523196	287.813204	90623.392051	4.970871	656.369366	0.000000	655.911766	142355.661183	789.663747	142352.153451	2.531848	0.502905	0.0	0.059802	NaN	NaN	585.755838	836703.405	9268335.0	9733149.0	80235.0	9268335.0	1018.0	-81893.0	24106038.0	-79858.0	4326956.0	-51298.0	4327442.0	814.0	35.0	66.0	3.590900	0.0	0.0	33117.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100008	0	Cash loans	M	N	Y	0	99000.0	490495.5	27517.5	454500.0	Spouse, partner	State servant	Secondary / secondary special	Married	House / apartment	0.035792	-16941	-1588	-4970.0	-477	<NA>	1	1	1	1	1	0	Laborers	2.0	2	2	WEDNESDAY	16	0	0	0	0	0	0	Other	NaN	0.354225	0.621226	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-2536.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	train	3	NaN	0.000	267606.0	240057.0	0.000	0.0	0.0	0.0	-78.0	471.0	-16.0	-790.0	NaN	0.000	156148.500000	80019.000000	0.00000	0.0	0.0	0.0	-757.333333	-391.333333	-611.000000	-909.000000	NaN	0.0	95134.5	0.0	0.0	0.0	0.0	0.0	-1097.0	-853.0	-1027.0	-1028.0	Closed	currency 1	Consumer credit	2	1	1	NaN	NaN	1.708782	1.732051	0.0	0.0	0.0	0.0	1.732051	1.719081	1.348842	NaN	NaN	NaN	96669.615688	138596.973571	0.0000	0.0	0.0	0.0	588.319924	747.425136	528.735283	168.291414	0.0	0.000	468445.500	240057.0	0.000	0.0	0.0	0.0	-2272.0	-1174.0	-1833.0	-1818.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	5	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-82.0	365243.0	-339.0	-69.0	261.0	-66.0	18.0	1.0	1.0	0.110243	NaN	NaN	110.0	15839.696250	155701.800000	162767.700000	5548.500000	194627.250000	14.000000	-1192.000000	365243.000000	-1434.500000	-1209.500000	-1044.500000	-872.750000	12.000000	0.250000	1.0	0.073051	NaN	NaN	73.000000	8019.090	0.0	0.0	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	XNA	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	3	1	1	2	3	2	2	4	2	3	2	3	1	3	4	3	0.520248	1.541143	1.711857	0.746006	1.540094	1.812802	-0.494426	0.000000	0.024815	0.007578	0.005603	-1.610501	1.461630	2.000000	0.0	-1.731185	NaN	NaN	-1.134684	7498.516159	176387.802931	199684.476601	6140.261130	177150.420958	10.832051	1153.452426	0.000000	1117.306732	1141.566614	1329.922679	1008.281500	3.674235	0.500000	0.0	0.063267	NaN	NaN	48.145612	63358.785	778509.00	813838.5	16645.50	778509.00	56.0	-5960.0	1460972.0	-5738.0	-4838.0	-4178.0	-3491.0	60.0	1.0	5.0	0.219152	0.0	0.0	365.0	83	30.0	30.0	-2.0	1294.0	0.0	100008.0	11.518072	4.108434	-43.662651	339.060241	0.000000	100008.0	6.0	0.0	-84.0	0.0	0.0	100008.0	Active	3	2.577157	2.295605	0.041511	0.892764	0.000000	0.0	6.188820	7.880219	24.274988	427.822859	0.000000	0.0	956.0	341.0	-3624.0	28142.0	0.0	8300664.0	35	432218.295	432218.295	-82.0	-69.0	10.0	2.0	100008.0	27702.964286	27360.502714	-1237.800000	-1263.914286	5.057143	1.028571	100008.0	8003.475	227.160	-2519.0	-2491.0	1.0	1.0	100008.0	5.850452	5.838019	-0.153727	-0.047269	0.231163	5.916080	0.0	70634.672225	70740.978283	978.227473	980.796476	2.817413	0.169031	0.0	969603.750	957617.595	-43323.0	-44237.0	177.0	36.0	3500280.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	55.0	0.0	11.0	27.555556	23.555556	-7.0	511.672727	0.000000	100008.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	76173.165000	76173.165000	-215.000000	-204.000000	5.909091	1.125000	100008.0	10.0	0.0	-12.0	0.0	0.0	100008.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	25309.575	25309.575	-358.0	-339.0	1.0	1.0	100008.0	3.0	NaN	0.000000	2.518709	0.0	0.270289	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.828427	2.828427	3.103523	0.000000	0.000000	2.828427	0.0	7.333333	9.125666	16.020820	433.568229	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	143863.957618	143863.957618	447.867005	95.298574	3.176619	0.353553	0.0	550.0	212.0	0.0	28142.0	0.0	5500440.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.999999	1.996665	1.959036	-0.695381	-0.695381	2.000000	0.0	1.383575	1.866483	-1.994406	2.236068	0.0	2.023421	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.783229	1.810169	-0.864441	-0.967444	-0.326021	-1.392990	-1.267824	21.870071	0.0	4.358899	10.832051	10.832051	33.290389	647.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	209806.629641	209806.629641	1014.979926	1141.566614	1.914854	0.500000	0.0	9.630840	10.428297	33.419992	255.836364	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	32007.435451	32197.973545	1101.948010	1126.098529	1.078448	0.062500	0.0	1.914854	0.000000	37.242449	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7529.349987	11004.963559	1120.316324	1117.306732	0.0	0.00000	0.0	0.500000	NaN	1.500000	2.120525	0.0	0.135145	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.717848	2.925484	1.585720	0.063811	0.063811	1.414214	0.0	221.145201	83.142649	1159.730443	12585.485005	0.0	2.187182e+06	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	242582.793594	243389.861603	9530.574211	9992.394198	26.082561	4.438468	4.359248e+05	56.0	56.0	-115.0	1294.0	0.0	400032.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	470267.505	470267.505	-3569.0	-4838.0	34.0	5.0	400032.0	53.555556	32.203283	-154.5	511.672727	0.000000	400032.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	114190.049591	113100.399136	-5207.446970	-5275.727273	19.409091	4.125000	400032.0	34.0	0.0	-194.0	0.0	0.0	400032.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	63175.320	51416.325	-5804.0	-5738.0	4.0	4.0	400032.0	9.0	0.0	-3.000000	-0.014181	0.0	0.270289	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	-4.706058	-6.093750	2.902264	-0.127622	-0.127622	2.828427	0.0	7.333333	17.328303	24.525547	433.568229	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	143937.372883	147456.802289	673.256533	315.737638	10.524588	0.353553	0.0	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-370.0	365243.0	-339.0	-69.0	261.0	-66.0	13.0	1.0	1.0	0.110243	NaN	NaN	110.0	13935.165723	155111.475904	152265.361446	9513.547297	155111.475904	11.783133	-1908.722892	365243.0	-1874.493976	-1622.566265	-1551.000000	-741.626506	9.626506	0.108434	1.0	0.092864	NaN	NaN	94.939759	8019.090	44455.50	39955.5	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	50.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Gardening	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	2	1	1	2	3	1	2	4	1	2	2	2	1	2	3	2	1.461144	2.205736	2.300205	-1.328025	2.205736	2.388710	1.237134	0.0	1.239513	1.220009	1.224499	-1.937565	2.204849	2.565294	0.0	-2.015940	NaN	NaN	-2.041030	4675.414310	107267.016730	126116.494955	4648.852094	107267.016730	6.499621	808.510650	0.0	806.228549	805.755337	932.274167	568.630527	1.186415	0.312818	0.0	0.039071	NaN	NaN	15.909308	1156618.755	12874252.50	12638025.0	704002.50	12874252.50	978.0	-158424.0	30315169.0	-155583.0	-134673.0	-128733.0	-61555.0	799.0	9.0	83.0	6.871944	0.0	0.0	7880.0	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-370.0	365243.0	-339.0	-69.0	261.0	-66.0	13.0	1.0	1.0	0.110243	NaN	NaN	110.0	16086.760714	195106.371429	202397.785714	5948.166667	195106.371429	13.885714	-1419.742857	365243.000000	-1385.628571	-1149.914286	-999.057143	-728.600000	10.200000	0.228571	1.0	0.068869	NaN	NaN	95.314286	8019.090	44455.50	39955.5	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	50.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Gardening	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	2	1	1	2	3	1	2	4	1	2	2	2	1	2	3	2	0.341155	1.071652	1.133614	0.123155	1.071652	1.244610	-0.044929	0.000000	-0.042905	-0.051547	-0.052592	-1.409247	1.372436	1.351407	0.0	-0.568684	NaN	NaN	-1.502418	6122.156570	146144.327551	170419.602006	5508.267674	146144.327551	9.022102	978.394253	0.000000	974.488194	988.277687	1135.334673	781.956791	1.367694	0.426043	0.0	0.053829	NaN	NaN	21.833287	563036.625	6828723.0	7083922.5	160600.5	6828723.0	486.0	-49691.0	12783505.0	-48497.0	-40247.0	-34967.0	-25501.0	357.0	8.0	35.0	1.859458	0.0	0.0	3336.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100009	0	Cash loans	F	Y	Y	1	171000.0	1560726.0	41301.0	1395000.0	Unaccompanied	Commercial associate	Higher education	Married	House / apartment	0.035792	-13778	-3130	-1213.0	-619	17	1	1	0	1	1	0	Accountants	3.0	2	2	SUNDAY	16	0	0	0	0	0	0	Business Entity Type 3	0.774761	0.724000	0.492060	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	0	1	0	-1562.0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	2	train	18	NaN	0.000	1777500.0	557959.5	0.000	0.0	0.0	0.0	-239.0	1402.0	-23.0	-313.0	NaN	0.000	266711.750000	76953.535714	0.00000	0.0	0.0	0.0	-1271.500000	-794.937500	-851.611111	-1108.500000	NaN	0.0	35770.5	0.0	0.0	0.0	0.0	0.0	-2882.0	-2152.0	-2152.0	-2152.0	Closed	currency 1	Consumer credit	2	1	2	NaN	0.000000	3.329995	2.285321	0.0	0.0	0.0	0.0	-0.499786	0.960129	-0.392491	-0.303608	NaN	0.000000	408442.800879	169219.018172	0.0000	0.0	0.0	0.0	665.304464	1002.983647	591.011609	526.652381	0.0	0.000	4800811.500	1077349.5	0.000	0.0	0.0	0.0	-22887.0	-12719.0	-15329.0	-15519.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	7	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	10051.412143	76741.714286	70137.642857	9203.142857	76741.714286	8.000000	-719.285714	365243.000000	-688.285714	51666.857143	-478.285714	51672.857143	13.714286	0.000000	1.0	0.126602	NaN	NaN	170.000000	7435.845	40455.0	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	2	1	1	1	2	1	1	4	1	1	1	2	3	4	3	4	2.080467	-0.301358	-0.336879	0.731730	-0.301358	0.650661	-0.711128	0.000000	-0.711128	2.645670	-0.607728	2.645670	0.491377	0.000000	0.0	-0.554669	NaN	NaN	-0.538504	3398.458054	30274.130150	27512.047264	7342.749171	30274.130150	2.581989	602.578270	0.000000	602.578270	138275.096851	614.345645	138272.447002	2.984085	0.000000	0.0	0.072717	NaN	NaN	82.575218	70359.885	537192.00	490963.5	64422.00	537192.00	56.0	-5035.0	2556701.0	-4818.0	361668.0	-3348.0	361710.0	96.0	0.0	7.0	0.886216	0.0	0.0	1190.0	54	12.0	12.0	-1.0	0.0	0.0	100009.0	8.407407	4.296296	-22.240741	0.000000	0.000000	100009.0	6.0	0.0	-51.0	0.0	0.0	100009.0	Active	2	0.289236	0.529735	-0.450863	0.000000	0.000000	0.0	2.617204	3.254197	18.085682	0.000000	0.000000	0.0	454.0	232.0	-1201.0	0.0	0.0	5400486.0	47	17341.605	17341.605	-58.0	-43.0	12.0	1.0	100009.0	9858.910213	9858.910213	-693.659574	-685.000000	4.638298	1.000000	100009.0	7421.400	7421.400	-1542.0	-1531.0	1.0	1.0	100009.0	1.918988	1.918988	-0.437070	-0.439599	0.714272	0.000000	0.0	3021.826730	3021.826730	548.416110	549.851205	2.907453	0.000000	0.0	463368.780	463368.780	-32602.0	-32195.0	218.0	47.0	4700423.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	13.0	0.0	12.0	12.000000	9.500000	-1.5	0.000000	0.000000	100009.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	17338.537500	17338.537500	-58.000000	-43.000000	6.500000	1.000000	100009.0	12.0	9.0	-2.0	0.0	0.0	100009.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	17323.200	17323.200	-58.0	-43.0	1.0	1.0	100009.0	2.0	NaN	0.000000	0.001711	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	-2.449490	-2.449490	0.096148	0.000000	0.000000	0.000000	0.0	0.000000	4.150996	3.894440	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7.513810	7.513810	108.282564	108.166538	3.605551	0.000000	0.0	156.0	74.0	-3.0	0.0	0.0	1300117.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.155576	0.155576	1.183266	1.206301	1.206301	0.000000	0.0	1.404336	1.479270	-1.251138	0.000000	0.0	-0.026694	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-0.155231	-0.155231	-1.316198	-1.323854	1.115134	-0.026694	-0.026694	3.498299	0.0	3.498299	2.581989	2.581989	18.644545	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3398.458054	3398.458054	568.153735	569.525366	3.498299	0.000000	0.0	2.581989	2.435950	19.114629	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3397.747774	3397.747774	581.785858	583.931747	1.749149	0.000000	0.0	2.581989	3.401680	19.729118	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3394.407582	3394.407582	601.432932	602.578270	0.0	0.00000	0.0	0.377964	NaN	0.000000	0.000699	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.456111	0.456111	0.089280	0.000000	0.000000	0.000000	0.0	49.069436	22.124109	181.435808	0.000000	0.0	3.498614e+05	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	37455.081841	37455.081841	4979.528956	4977.426066	26.092327	3.498299	3.498614e+05	56.0	56.0	-116.0	0.0	0.0	700063.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	70359.885	70359.885	-3682.0	-3618.0	47.0	7.0	700063.0	56.000000	32.192308	-139.5	0.000000	0.000000	700063.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	70351.839000	70351.839000	-4285.716667	-4218.000000	27.000000	7.000000	700063.0	56.0	9.0	-163.0	0.0	0.0	700063.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	70302.105	70302.105	-4884.0	-4818.0	7.0	7.0	700063.0	13.0	0.0	0.000000	0.001711	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	-16.424338	-16.424338	-0.029793	0.000000	0.000000	0.000000	0.0	0.000000	16.815715	16.559160	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	21.378441	21.378441	423.358648	423.495492	14.116516	0.000000	0.0	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	9884.934167	78970.666667	72916.250000	7749.083333	78970.666667	8.407407	-811.425926	365243.0	-780.425926	12960.907407	-558.203704	12967.462963	13.685185	0.000000	1.0	0.108872	NaN	NaN	158.777778	7435.845	40455.00	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	2	1	1	1	2	1	1	4	1	1	1	2	3	4	3	4	1.874480	-0.418206	-0.428068	0.863811	-0.418206	0.289236	-0.452281	0.0	-0.452281	5.043634	-0.408927	5.043636	0.496201	0.000000	0.0	-0.113421	NaN	NaN	-1.154750	3039.838865	27834.223106	25977.858088	6904.017381	27834.223106	2.617204	549.249938	0.0	549.249938	69738.975403	555.998791	69737.667366	2.944929	0.000000	0.0	0.075148	NaN	NaN	60.951471	533786.445	4264416.00	3937477.5	418450.50	4264416.00	454.0	-43817.0	19723122.0	-42143.0	699889.0	-30143.0	700243.0	739.0	0.0	54.0	5.879103	0.0	0.0	8574.0	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	9860.139574	79302.638298	73330.085106	7532.521277	79302.638298	8.468085	-825.148936	365243.000000	-794.148936	7196.191489	-570.106383	7202.829787	13.680851	0.000000	1.0	0.106232	NaN	NaN	157.106383	7435.845	40455.00	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	2	1	1	1	2	1	1	4	1	1	1	2	3	4	3	4	1.919210	-0.447522	-0.455348	0.918796	-0.447522	0.254654	-0.444949	0.000000	-0.444949	6.854554	-0.406411	6.854560	0.511747	0.000000	0.0	-0.060663	NaN	NaN	-1.469473	3022.498519	27788.931070	26028.175622	6893.237223	27788.931070	2.644527	546.568703	0.000000	546.568703	53364.586589	553.020293	53363.583102	2.971651	0.000000	0.0	0.075908	NaN	NaN	58.043175	463426.560	3727224.0	3446514.0	354028.5	3727224.0	398.0	-38782.0	17166421.0	-37325.0	338221.0	-26795.0	338533.0	643.0	0.0	47.0	4.992887	0.0	0.0	7384.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100010	0	Cash loans	M	Y	Y	0	360000.0	1530000.0	42075.0	1530000.0	Unaccompanied	State servant	Higher education	Married	House / apartment	0.003122	-18850	-449	-4597.0	-2379	8	1	1	1	1	0	0	Managers	2.0	3	3	MONDAY	16	0	0	0	0	1	1	Other	NaN	0.714279	0.540654	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-1070.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	2	NaN	NaN	675000.0	348007.5	0.000	0.0	0.0	0.0	-1138.0	689.0	-18.0	-1138.0	NaN	NaN	495000.000000	174003.750000	0.00000	0.0	0.0	0.0	-1939.500000	-119.500000	-578.000000	-1138.000000	NaN	NaN	315000.0	0.0	0.0	0.0	0.0	0.0	-2741.0	-928.0	-1138.0	-1138.0	Active	currency 1	Consumer credit	2	1	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	254558.441227	246078.463154	NaN	0.0	0.0	0.0	1133.492170	1143.391665	791.959595	NaN	0.0	0.000	990000.000	348007.5	0.000	0.0	0.0	0.0	-3879.0	-239.0	-1156.0	-1138.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	1	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.000000	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.0	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	0.0	0.0	8636.0	11	10.0	10.0	-25.0	0.0	0.0	100010.0	10.000000	5.000000	-30.000000	0.000000	0.000000	100010.0	10.0	0.0	-35.0	0.0	0.0	100010.0	Active	2	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	3.316625	3.316625	0.000000	0.000000	0.0	110.0	55.0	-330.0	0.0	0.0	1100110.0	10	27463.410	27463.410	-774.0	-769.0	10.0	1.0	100010.0	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	27321.390	27321.390	-1069.0	-1039.0	1.0	1.0	100010.0	-3.162278	-3.162278	-0.081460	0.000000	0.000000	0.000000	0.0	44.910667	44.910667	96.273280	90.829511	3.027650	0.000000	0.0	274492.080	274492.080	-9159.0	-9040.0	55.0	10.0	1000100.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	11.0	0.0	10.0	10.000000	5.000000	-30.0	0.000000	0.000000	100010.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	10.0	0.0	-35.0	0.0	0.0	100010.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27321.390	27321.390	-1069.0	-1039.0	1.0	1.0	100010.0	2.0	NaN	0.000000	0.000000	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	-3.162278	-3.162278	-0.081460	0.000000	0.000000	0.000000	0.0	0.000000	3.316625	3.316625	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	44.910667	44.910667	96.273280	90.829511	3.027650	0.000000	0.0	110.0	55.0	-330.0	0.0	0.0	1100110.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	10.0	10.0	-25.0	0.0	0.0	100010.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	27463.410	27463.410	-774.0	-769.0	10.0	1.0	100010.0	10.000000	5.000000	-30.0	0.000000	0.000000	100010.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	10.0	0.0	-35.0	0.0	0.0	100010.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	27321.390	27321.390	-1069.0	-1039.0	1.0	1.0	100010.0	2.0	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	-3.162278	-3.162278	-0.081460	0.000000	0.000000	0.000000	0.0	0.000000	3.316625	3.316625	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	44.910667	44.910667	96.273280	90.829511	3.027650	0.000000	0.0	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.0	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	302097.510	2719332.00	2868921.0	0.00	2719332.00	110.0	-11770.0	4017673.0	-11429.0	-8459.0	-8459.0	-8382.0	176.0	0.0	11.0	0.000000	0.0	0.0	94996.0	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.000000	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.000000	NaN	NaN	0.000000	274634.100	2472120.0	2608110.0	0.0	2472120.0	100.0	-10700.0	3652430.0	-10390.0	-7690.0	-7690.0	-7620.0	160.0	0.0	10.0	0.000000	0.0	0.0	86360.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100011	0	Cash loans	F	N	Y	0	112500.0	1019610.0	33826.5	913500.0	Children	Pensioner	Secondary / secondary special	Married	House / apartment	0.018634	-20099	365243	-7427.0	-3514	<NA>	1	0	0	1	0	0	NaN	2.0	2	2	WEDNESDAY	14	0	0	0	0	0	0	XNA	0.587334	0.205747	0.751724	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	0	1	0	0.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	train	4	NaN	10147.230	145242.0	0.0	0.000	0.0	0.0	0.0	-1309.0	-860.0	-965.0	-968.0	NaN	5073.615	108807.075000	0.000000	0.00000	0.0	0.0	0.0	-1773.000000	-1293.250000	-1454.750000	-1463.250000	NaN	0.0	54000.0	0.0	0.0	0.0	0.0	0.0	-2508.0	-2173.0	-2172.0	-2197.0	Closed	currency 1	Consumer credit	1	1	2	NaN	NaN	-0.552044	0.000000	0.0	0.0	0.0	0.0	-0.718996	-1.829013	-0.753421	-0.794401	NaN	7175.175143	44665.746870	0.000000	0.0000	0.0	0.0	0.0	577.423588	594.795973	557.864604	566.349347	0.0	10147.230	435228.300	0.0	0.000	0.0	0.0	0.0	-7092.0	-5173.0	-5819.0	-5853.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	4	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1162.0	365243.0	-1159.0	-289.0	365243.0	365243.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	18303.195000	202732.875000	261840.375000	6797.250000	270310.500000	14.000000	-1784.500000	242736.333333	-1955.000000	-1231.000000	120935.666667	121258.000000	11.750000	0.666667	1.0	0.050005	NaN	NaN	342.250000	9000.000	0.0	0.0	0.00	0.00	0.0	-2508.0	-2277.0	-2477.0	-2147.0	-2147.0	-1186.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XAP	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cards	XNA	XNA	Unaccompanied	XNA	Card X-Sell	MONDAY	3	2	1	2	2	2	3	2	2	4	3	2	2	3	4	4	1.286622	1.776161	1.657926	NaN	1.453856	0.585583	-0.088182	-1.732051	1.490978	0.125806	1.731901	1.732015	1.696387	-1.732051	0.0	NaN	NaN	NaN	1.999997	11596.348961	321299.392192	323212.381501	9612.763137	357000.751723	15.099669	709.485494	212187.770933	700.419874	929.272834	211578.396537	211297.690525	3.593976	0.577350	0.0	0.070718	NaN	NaN	685.833495	54909.585	810931.50	1047361.5	13594.50	810931.50	42.0	-7138.0	728209.0	-5865.0	-3693.0	362807.0	363774.0	47.0	2.0	4.0	0.100010	0.0	0.0	1369.0	75	30.0	30.0	-10.0	952.0	9.0	100011.0	19.186667	7.000000	-46.400000	205.666667	0.346667	100011.0	11.0	0.0	-83.0	0.0	0.0	100011.0	Active	2	0.416087	1.158190	-0.013818	1.198333	4.814549	0.0	8.889248	9.083695	21.377558	302.254248	1.712382	0.0	1439.0	525.0	-3480.0	15425.0	26.0	7500825.0	130	46485.000	46485.000	-37.0	-37.0	76.0	1.0	100011.0	13575.715615	11328.893654	-1150.923077	-1154.061538	28.446154	0.415385	100011.0	563.355	449.685	-2477.0	-2477.0	1.0	0.0	100011.0	0.557710	0.918612	-0.363613	-0.347411	0.691650	0.347437	0.0	12651.929943	12093.342822	693.021143	698.089683	21.416165	0.494695	0.0	1764843.030	1472756.175	-149620.0	-150028.0	3698.0	54.0	13001430.0	74	189000.0	180000.0	180000.0	180000.0	0.0	0.0	9000.0	55485.0	55485.0	180000.0	189000.0	189000.0	4.0	4.0	0.0	0.0	33.0	-2.0	0.0	0.0	100011.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	0.0	90000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-563.355	-563.355	0.0	0.0	0.0	0.0	1.0	-75.0	0.0	0.0	100011.0	Active	1	0.688622	-1.740001	8.602325	8.602325	0.0	0.0	0.252448	4.701224	4.427495	0.700874	0.688192	0.688192	8.602325	8.602325	0.0	0.0	-1.125059	0.0	0.0	0.0	0.0	68127.23827	34482.74362	20924.574974	20924.574974	0.0	0.0	4487.75071	7279.601955	7473.872687	65758.823328	68166.970922	68166.970922	0.464991	0.464991	0.0	0.0	10.288236	21.505813	0.0	0.0	0.0	4031676.225	12150000.0	180000.0	180000.0	0.0	0.0	288804.195	358386.75	334485.0	3877754.58	4028055.255	4028055.255	4.0	4.0	0.0	0.0	1881.0	-2849.0	0.0	0.0	7400814.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	NaN	0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	45.0	74.0	76.0	30.000000	14.900000	-24.5	342.777778	0.577778	100011.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	31284.502297	25363.779324	-677.594595	-670.081081	38.500000	1.000000	100011.0	30.0	0.0	-39.0	0.0	0.0	100011.0	0.0	90000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-563.355	-563.355	0.0	0.0	0.0	0.0	1.0	-75.0	0.0	0.0	100011.0	30897.585	563.355	-1169.0	-1159.0	1.0	1.0	100011.0	2.0	1.0	0.000000	1.885561	0.0	0.428097	3.614484	0.0	0.688622	-1.740001	8.602325	8.602325	0.0	0.0	0.252448	4.701224	4.427495	0.700874	0.688192	0.688192	8.602325	8.602325	0.0	0.0	-1.125059	0.0	0.0	0.0	0.0	3.775377	3.775377	3.216393	0.027308	0.000000	0.000000	0.0	0.149071	9.230198	13.133926	324.930964	2.189737	0.0	68127.23827	34482.74362	20924.574974	20924.574974	0.0	0.0	4487.75071	7279.601955	7473.872687	65758.823328	68166.970922	68166.970922	0.464991	0.464991	0.0	0.0	10.288236	21.505813	0.0	0.0	0.0	6399.479311	11580.019771	637.236332	633.742409	22.083176	0.000000	0.0	900.0	447.0	0.0	15425.0	26.0	4500495.0	4031676.225	12150000.0	180000.0	180000.0	0.0	0.0	288804.195	358386.75	334485.0	3877754.58	4028055.255	4028055.255	4.0	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.731610	1.281677	1.713449	1.102234	1.168405	0.000000	0.0	0.547485	1.831539	-1.610495	2.000000	2.0	0.370370	2.0	2.0	2.0	2.0	0.0	0.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	0.0	0.0	2.0	-2.0	0.0	0.0	2.0	1.455917	1.265193	-0.912598	-0.874534	1.767570	0.990951	0.845180	22.500000	37.0	32.705759	12.727922	12.727922	20.506097	673.165656	6.363961	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	15941.145493	15941.145493	604.377641	1152.372046	33.005050	0.577350	0.0	12.743636	9.310239	25.809398	242.380491	0.408551	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	13424.518016	10675.410166	790.707320	824.699720	15.732573	0.577350	0.0	13.435029	0.000000	31.112698	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	15181.437279	62.480940	695.717615	700.419874	0.0	0.57735	0.0	0.000000	NaN	4.743416	1.309565	0.0	0.302710	2.555826	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4.946206	2.865416	1.957108	0.281324	0.266700	0.000000	0.0	440.772334	213.687271	1297.131451	7712.500000	13.0	2.250248e+06	2.015838e+06	6075000.0	90000.0	90000.0	0.0	0.0	144402.0975	179193.375	167242.5	1938877.29	2.014028e+06	2.014028e+06	2.0	2.0	0.0	0.0	940.5	1424.5	0.0	0.0	3700407.0	500576.694614	407449.650945	36486.069223	36412.061692	1362.558745	17.597348	3.270936e+06	42.0	42.0	-49.0	952.0	9.0	200022.0	189000.0	180000.0	180000.0	180000.0	0.0	0.0	9000.0	55485.0	55485.0	180000.0	189000.0	189000.0	4.0	4.0	0.0	0.0	33.0	-2.0	0.0	0.0	100011.0	92394.585	92394.585	-1522.0	-2473.0	118.0	2.0	300033.0	41.977778	16.633333	-85.5	342.777778	0.577778	200022.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	50617.314701	40401.291433	-4039.087629	-4083.297799	63.562003	2.000000	300033.0	41.0	0.0	-122.0	0.0	0.0	200022.0	0.0	90000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-563.355	-563.355	0.0	0.0	0.0	0.0	1.0	-75.0	0.0	0.0	100011.0	46049.490	1474.605	-5880.0	-5865.0	3.0	2.0	300033.0	4.0	1.0	-6.708204	1.919118	0.0	0.428097	3.614484	0.0	0.688622	-1.740001	8.602325	8.602325	0.0	0.0	0.252448	4.701224	4.427495	0.700874	0.688192	0.688192	8.602325	8.602325	0.0	0.0	-1.125059	0.0	0.0	0.0	0.0	-4.173599	1.580907	2.898325	-0.825778	-0.853087	0.000000	0.0	0.149071	12.650724	21.937334	324.930964	2.189737	0.0	68127.23827	34482.74362	20924.574974	20924.574974	0.0	0.0	4487.75071	7279.601955	7473.872687	65758.823328	68166.970922	68166.970922	0.464991	0.464991	0.0	0.0	10.288236	21.505813	0.0	0.0	0.0	6474.987317	22623.035758	1186.166319	1009.422930	34.605860	0.000000	0.0	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1189.0	365243.0	-1159.0	-289.0	-289.0	-283.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	21286.701000	351558.900000	373833.900000	8156.700000	351558.900000	19.200000	-1980.400000	365243.0	-1949.800000	-1403.800000	-1403.800000	-824.800000	14.600000	1.000000	1.0	0.060006	NaN	NaN	822.200000	14614.335	135931.50	134446.5	0.00	135931.50	12.0	-2508.0	365243.0	-2477.0	-2147.0	-2147.0	-1186.0	11.0	1.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	New	Approved	Consumer loans	Computers	Cash through the bank	POS	XNA	Consumer electronics	Children	high	POS household with interest	MONDAY	2	1	1	2	2	1	2	2	1	2	2	2	2	2	2	2	0.416628	0.416628	0.416628	-0.416628	0.416628	0.416628	0.416628	0.0	0.416628	0.416628	0.416628	0.416628	-0.416628	0.000000	0.0	-0.416628	NaN	NaN	-0.416628	8226.976600	265866.946465	295162.846002	6704.766099	265866.946465	8.877545	650.526793	0.0	650.033596	916.359955	916.359955	445.356857	2.959182	0.000000	0.0	0.049325	NaN	NaN	676.666232	1596502.575	26366917.50	28037542.5	611752.50	26366917.50	1440.0	-148530.0	27393225.0	-146235.0	-105285.0	-105285.0	-61860.0	1095.0	75.0	75.0	4.500470	0.0	0.0	61665.0	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1189.0	365243.0	-1159.0	-289.0	365243.0	365243.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	16079.753423	209891.042308	331411.119231	4279.750000	505293.250000	10.107692	-1998.715385	150385.153846	-1956.892308	-1097.876923	213163.661538	213291.038462	11.200000	0.415385	1.0	0.031485	NaN	NaN	179.000000	9000.000	0.00	134446.5	0.00	135931.50	0.0	-2508.0	-2277.0	-2477.0	-2147.0	-2147.0	-1186.0	10.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Contact center	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	Unaccompanied	XNA	Card X-Sell	SATURDAY	3	1	1	2	2	1	3	2	2	3	3	2	2	3	3	3	0.861844	0.897665	0.953863	0.820420	-0.820420	0.729214	0.889695	0.347437	0.873719	-0.013634	-0.347466	-0.347444	2.059376	0.347437	0.0	0.820420	NaN	NaN	2.215967	9808.937213	297863.033432	254668.646960	6373.144230	252717.003221	13.196926	518.184566	181810.148944	511.733113	589.599575	181116.916355	180964.562073	2.300657	0.494695	0.0	0.046885	NaN	NaN	464.128791	2090367.945	27285835.5	43083445.5	231106.5	27285835.5	1314.0	-259833.0	19550070.0	-254396.0	-142724.0	27711276.0	27727835.0	1456.0	54.0	130.0	1.700178	0.0	0.0	23270.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	Contact center	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	NaN	XNA	Card X-Sell	SATURDAY	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	1	0.0	0.0	0.0	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	0.0	666000.0	0.0	13320000.0	0.0	0.0	0.0	-168646.0	-168498.0	-164946.0	-93018.0	27027982.0	27027982.0	740.0	0.0	74.0	0.0	0.0	0.0	0.0
100012	0	Revolving loans	M	N	Y	0	135000.0	405000.0	20250.0	405000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.019689	-14469	-2019	-14437.0	-3992	<NA>	1	1	0	1	0	0	Laborers	1.0	2	2	THURSDAY	8	0	0	0	0	0	0	Electricity	NaN	0.746644	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-1673.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	train	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.000	0.000	0.0	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	0.0	4	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-107.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	7894.155000	60930.000000	74119.500000	0.000000	81240.000000	18.000000	-779.750000	365243.000000	-973.333333	-563.333333	-463.333333	-559.333333	12.500000	0.666667	1.0	0.000000	NaN	NaN	9.750000	3012.075	0.0	0.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	XNA	XNA	Family	high	Cash X-Sell: high	FRIDAY	2	1	1	2	2	2	2	2	2	3	2	2	2	2	3	4	-1.432330	0.348937	0.207877	NaN	-0.657312	0.000000	-0.878856	0.000000	-1.179222	-1.731958	-1.657067	-1.731869	-1.129338	-1.732051	0.0	NaN	NaN	NaN	2.000000	4313.161823	62784.230504	74765.971050	NaN	58632.864504	6.000000	665.234482	0.000000	600.616628	725.444921	737.672240	725.449056	2.516611	0.577350	0.0	NaN	NaN	NaN	21.500000	23682.465	243720.00	296478.0	0.00	243720.00	54.0	-3119.0	1095729.0	-2920.0	-1690.0	-1390.0	-1678.0	50.0	2.0	4.0	0.000000	0.0	0.0	39.0	46	24.0	23.0	-5.0	0.0	0.0	100012.0	19.021739	10.217391	-22.086957	0.000000	0.000000	100012.0	9.0	0.0	-55.0	0.0	0.0	100012.0	Active	2	-0.745035	0.182788	-1.033973	0.000000	0.000000	0.0	5.821375	6.366276	16.193038	0.000000	0.000000	0.0	875.0	470.0	-1016.0	0.0	0.0	4600552.0	48	49204.890	58687.245	-151.0	-142.0	23.0	4.0	100012.0	9584.503125	10451.285625	-690.312500	-665.000000	9.041667	2.000000	100012.0	3012.075	5.850	-1645.0	-1641.0	1.0	1.0	100012.0	3.302297	3.286477	-0.929373	-0.972285	0.744790	0.289699	0.0	7844.551914	11553.379435	490.539311	498.574649	6.344568	0.771845	0.0	460056.150	501661.710	-33135.0	-31920.0	434.0	96.0	4800576.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	23.0	0.0	24.0	23.956522	11.956522	-11.0	0.000000	0.000000	100012.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11499.003750	15537.420000	-355.769231	-324.692308	12.416667	2.846154	100012.0	23.0	0.0	-17.0	0.0	0.0	100012.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11057.535	5242.860	-487.0	-477.0	1.0	1.0	100012.0	2.0	NaN	1.778781	0.000000	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4.896556	2.376824	0.373372	0.094443	0.094443	3.316625	0.0	1.664101	6.858825	6.782330	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	13668.978728	20535.907784	223.109968	208.206628	6.940221	0.688737	0.0	551.0	275.0	0.0	0.0	0.0	2300276.0	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	...	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.730298	1.729900	1.375949	1.135082	1.135082	1.587643	0.0	1.168769	0.705038	0.026664	0.000000	0.0	0.000000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.808919	0.141275	-0.041914	-0.206261	1.604085	-0.077071	0.000000	9.469248	0.0	9.831921	6.000000	7.094599	23.671361	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	19893.211579	25208.224994	724.000000	725.444921	7.371115	1.000000	0.0	7.191666	4.189559	21.507751	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4367.597025	6265.277433	636.549117	652.116597	3.944122	0.877642	0.0	7.371115	0.000000	19.697716	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4153.638439	2804.777689	594.552773	600.616628	0.0	0.00000	0.0	0.000000	NaN	3.503173	0.529143	0.0	0.000000	0.000000	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.246165	1.173677	0.349039	0.174336	0.174336	2.609265	0.0	240.412666	122.372383	225.709253	0.000000	0.0	9.470385e+05	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0000	0.000	0.0	0.00	0.000000e+00	0.000000e+00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	123082.126108	128156.519972	7426.335048	7362.840620	130.645832	21.740898	9.833101e+05	54.0	50.0	-56.0	0.0	0.0	300036.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	81256.770	90739.125	-1713.0	-1690.0	44.0	9.0	300036.0	51.094983	27.994983	-77.5	0.000000	0.000000	300036.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	26229.369834	29735.392670	-2366.920746	-2299.737762	23.675408	5.895396	300036.0	44.0	0.0	-99.0	0.0	0.0	300036.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19312.470	6132.195	-2964.0	-2920.0	3.0	3.0	300036.0	6.0	0.0	-6.622602	-0.976470	0.0	0.000000	0.000000	0.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	10.650448	4.238278	-0.054960	-0.213482	-0.213482	1.065093	0.0	3.137526	14.778908	13.704421	0.000000	0.000000	0.0	0.00000	0.00000	0.000000	0.000000	0.0	0.0	0.00000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.0	0.0	0.0	18082.417920	26256.082618	403.079031	395.908686	13.196956	1.348889	0.0	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-507.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	8928.612391	97004.347826	116700.065217	0.000000	97004.347826	19.695652	-922.978261	365243.0	-892.543478	-417.108696	-331.673913	-412.891304	12.695652	0.782609	1.0	0.000000	NaN	NaN	8.347826	3012.075	18720.00	23697.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	XNA	Unaccompanied	high	Cash X-Sell: high	FRIDAY	2	1	1	2	2	1	2	2	2	2	2	2	2	1	2	3	-1.235645	-0.846286	-0.988740	0.000000	-0.846286	-0.569741	-1.000030	0.0	-0.998493	-1.416887	-1.363262	-1.416827	-0.808144	-1.416950	0.0	0.000000	NaN	NaN	1.416950	3236.785547	45977.430002	53077.314308	0.000000	45977.430002	4.843642	423.351469	0.0	422.564168	524.290726	525.558541	524.410790	2.148587	0.417029	0.0	0.000000	NaN	NaN	17.932240	410716.170	4462200.00	5368203.0	0.00	4462200.00	906.0	-42457.0	16801178.0	-41057.0	-19187.0	-15257.0	-18993.0	584.0	36.0	46.0	0.000000	0.0	0.0	384.0	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-507.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	8852.422500	96165.000000	115633.500000	0.000000	96165.000000	19.625000	-936.708333	365243.000000	-906.250000	-431.875000	-347.500000	-427.645833	12.625000	0.770833	1.0	0.000000	NaN	NaN	8.854167	3012.075	18720.00	23697.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	XNA	Unaccompanied	high	Cash X-Sell: high	FRIDAY	2	1	1	2	2	1	2	2	2	2	2	2	2	1	2	3	-1.164728	-0.806122	-0.937849	0.000000	-0.806122	-0.548034	-0.940628	0.000000	-0.939170	-1.330666	-1.281181	-1.330610	-0.757684	-1.330724	0.0	0.000000	NaN	NaN	1.330724	3298.248731	46737.127162	54012.789826	0.000000	46737.127162	4.910367	428.429887	0.000000	427.625532	534.011221	534.448294	534.141526	2.169665	0.424744	0.0	0.000000	NaN	NaN	18.264009	424916.280	4615920.0	5550408.0	0.0	4615920.0	942.0	-44962.0	17531664.0	-43500.0	-20730.0	-16680.0	-20527.0	606.0	37.0	48.0	0.000000	0.0	0.0	425.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

10 rows × 2213 columns

feature_names[-20:]

[<Feature: STD(credit.previous.SELLERPLACE_AREA)>,
 <Feature: SUM(credit.previous.AMT_ANNUITY)>,
 <Feature: SUM(credit.previous.AMT_APPLICATION)>,
 <Feature: SUM(credit.previous.AMT_CREDIT)>,
 <Feature: SUM(credit.previous.AMT_DOWN_PAYMENT)>,
 <Feature: SUM(credit.previous.AMT_GOODS_PRICE)>,
 <Feature: SUM(credit.previous.CNT_PAYMENT)>,
 <Feature: SUM(credit.previous.DAYS_DECISION)>,
 <Feature: SUM(credit.previous.DAYS_FIRST_DRAWING)>,
 <Feature: SUM(credit.previous.DAYS_FIRST_DUE)>,
 <Feature: SUM(credit.previous.DAYS_LAST_DUE)>,
 <Feature: SUM(credit.previous.DAYS_LAST_DUE_1ST_VERSION)>,
 <Feature: SUM(credit.previous.DAYS_TERMINATION)>,
 <Feature: SUM(credit.previous.HOUR_APPR_PROCESS_START)>,
 <Feature: SUM(credit.previous.NFLAG_INSURED_ON_APPROVAL)>,
 <Feature: SUM(credit.previous.NFLAG_LAST_APPL_IN_DAY)>,
 <Feature: SUM(credit.previous.RATE_DOWN_PAYMENT)>,
 <Feature: SUM(credit.previous.RATE_INTEREST_PRIMARY)>,
 <Feature: SUM(credit.previous.RATE_INTEREST_PRIVILEGED)>,
 <Feature: SUM(credit.previous.SELLERPLACE_AREA)>]

DFS with Selected Aggregation Primitives

featuretools를 사용하여 몇 줄의 코드로 121개의 원래 features에서 약 2200개로 변환할 수 있었습니다. manual feature engineering을 수행했을 때 비슷한 크기의 데이터 세트를 만드는 데 약 12시간이 걸렸습니다. 그러나 featuretools에서 많은 features을 얻을 수 있지만 이 함수 호출이 어떤 features를 만드는지 잘 알지 못합니다. 우리는 문제에 중요한 것이 무엇인지 생각하지 않고, 단순히 기본 aggregations를 사용했습니다. 이릁 오해, 많은 features를 갖게 되지만, 모든 features가 문제와 관련이 있는 것은 아닙니다. 관련 없는 features가 너무 많으면 중요한 features이 생략되어 성능이 저하될 수 있습니다 (차원의 저주(curse of dimensionality)).

다음 호출에서는 더 작은 feature 집합을 지정할 것입니다. 여기서는 여전히 많은 도메인 지식을 사용하지 않지만, 이 feature set는 더 관리하기 쉽습니다. 여기에서 다음 단계는 실제로 빌드하고 feature selection을 수행하는 features을 개선하는 것입니다.

feature_matrix_spec, feature_names_spec = ft.dfs(entityset=es, 
                                                 target_dataframe_name="app",
                                                 agg_primitives=['sum', 'count', 'min', 'max', 'mean', 'mode'],
                                                 max_depth=2,
                                                 features_only=False,
                                                 verbose=True)

Built 1211 features
Elapsed: 00:04 | Progress: 100%|███████████████████████████████████████████████████████████████████████████████████████

약 1200개의 features만 제공됩니다.

pd.options.display.max_columns = 1000
feature_matrix_spec.head(10)

	TARGET	NAME_CONTRACT_TYPE	CODE_GENDER	FLAG_OWN_CAR	FLAG_OWN_REALTY	CNT_CHILDREN	AMT_INCOME_TOTAL	AMT_CREDIT	AMT_ANNUITY	AMT_GOODS_PRICE	NAME_TYPE_SUITE	NAME_INCOME_TYPE	NAME_EDUCATION_TYPE	NAME_FAMILY_STATUS	NAME_HOUSING_TYPE	REGION_POPULATION_RELATIVE	DAYS_BIRTH	DAYS_EMPLOYED	DAYS_REGISTRATION	DAYS_ID_PUBLISH	OWN_CAR_AGE	FLAG_MOBIL	FLAG_EMP_PHONE	FLAG_WORK_PHONE	FLAG_CONT_MOBILE	FLAG_PHONE	FLAG_EMAIL	OCCUPATION_TYPE	CNT_FAM_MEMBERS	REGION_RATING_CLIENT	REGION_RATING_CLIENT_W_CITY	WEEKDAY_APPR_PROCESS_START	HOUR_APPR_PROCESS_START	REG_REGION_NOT_LIVE_REGION	REG_REGION_NOT_WORK_REGION	LIVE_REGION_NOT_WORK_REGION	REG_CITY_NOT_LIVE_CITY	REG_CITY_NOT_WORK_CITY	LIVE_CITY_NOT_WORK_CITY	ORGANIZATION_TYPE	EXT_SOURCE_1	EXT_SOURCE_2	EXT_SOURCE_3	APARTMENTS_AVG	BASEMENTAREA_AVG	YEARS_BEGINEXPLUATATION_AVG	YEARS_BUILD_AVG	COMMONAREA_AVG	ELEVATORS_AVG	ENTRANCES_AVG	FLOORSMAX_AVG	FLOORSMIN_AVG	LANDAREA_AVG	LIVINGAPARTMENTS_AVG	LIVINGAREA_AVG	NONLIVINGAPARTMENTS_AVG	NONLIVINGAREA_AVG	APARTMENTS_MODE	BASEMENTAREA_MODE	YEARS_BEGINEXPLUATATION_MODE	YEARS_BUILD_MODE	COMMONAREA_MODE	ELEVATORS_MODE	ENTRANCES_MODE	FLOORSMAX_MODE	FLOORSMIN_MODE	LANDAREA_MODE	LIVINGAPARTMENTS_MODE	LIVINGAREA_MODE	NONLIVINGAPARTMENTS_MODE	NONLIVINGAREA_MODE	APARTMENTS_MEDI	BASEMENTAREA_MEDI	YEARS_BEGINEXPLUATATION_MEDI	YEARS_BUILD_MEDI	COMMONAREA_MEDI	ELEVATORS_MEDI	ENTRANCES_MEDI	FLOORSMAX_MEDI	FLOORSMIN_MEDI	LANDAREA_MEDI	LIVINGAPARTMENTS_MEDI	LIVINGAREA_MEDI	NONLIVINGAPARTMENTS_MEDI	NONLIVINGAREA_MEDI	FONDKAPREMONT_MODE	HOUSETYPE_MODE	TOTALAREA_MODE	WALLSMATERIAL_MODE	EMERGENCYSTATE_MODE	OBS_30_CNT_SOCIAL_CIRCLE	DEF_30_CNT_SOCIAL_CIRCLE	OBS_60_CNT_SOCIAL_CIRCLE	DEF_60_CNT_SOCIAL_CIRCLE	DAYS_LAST_PHONE_CHANGE	FLAG_DOCUMENT_2	FLAG_DOCUMENT_3	FLAG_DOCUMENT_4	FLAG_DOCUMENT_5	FLAG_DOCUMENT_6	FLAG_DOCUMENT_7	FLAG_DOCUMENT_8	FLAG_DOCUMENT_9	FLAG_DOCUMENT_10	FLAG_DOCUMENT_11	FLAG_DOCUMENT_12	FLAG_DOCUMENT_13	FLAG_DOCUMENT_14	FLAG_DOCUMENT_15	FLAG_DOCUMENT_16	FLAG_DOCUMENT_17	FLAG_DOCUMENT_18	FLAG_DOCUMENT_19	FLAG_DOCUMENT_20	FLAG_DOCUMENT_21	AMT_REQ_CREDIT_BUREAU_HOUR	AMT_REQ_CREDIT_BUREAU_DAY	AMT_REQ_CREDIT_BUREAU_WEEK	AMT_REQ_CREDIT_BUREAU_MON	AMT_REQ_CREDIT_BUREAU_QRT	AMT_REQ_CREDIT_BUREAU_YEAR	set	COUNT(bureau)	MAX(bureau.AMT_ANNUITY)	MAX(bureau.AMT_CREDIT_MAX_OVERDUE)	MAX(bureau.AMT_CREDIT_SUM)	MAX(bureau.AMT_CREDIT_SUM_DEBT)	MAX(bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau.CNT_CREDIT_PROLONG)	MAX(bureau.CREDIT_DAY_OVERDUE)	MAX(bureau.DAYS_CREDIT)	MAX(bureau.DAYS_CREDIT_ENDDATE)	MAX(bureau.DAYS_CREDIT_UPDATE)	MAX(bureau.DAYS_ENDDATE_FACT)	MEAN(bureau.AMT_ANNUITY)	MEAN(bureau.AMT_CREDIT_MAX_OVERDUE)	MEAN(bureau.AMT_CREDIT_SUM)	MEAN(bureau.AMT_CREDIT_SUM_DEBT)	MEAN(bureau.AMT_CREDIT_SUM_LIMIT)	MEAN(bureau.AMT_CREDIT_SUM_OVERDUE)	MEAN(bureau.CNT_CREDIT_PROLONG)	MEAN(bureau.CREDIT_DAY_OVERDUE)	MEAN(bureau.DAYS_CREDIT)	MEAN(bureau.DAYS_CREDIT_ENDDATE)	MEAN(bureau.DAYS_CREDIT_UPDATE)	MEAN(bureau.DAYS_ENDDATE_FACT)	MIN(bureau.AMT_ANNUITY)	MIN(bureau.AMT_CREDIT_MAX_OVERDUE)	MIN(bureau.AMT_CREDIT_SUM)	MIN(bureau.AMT_CREDIT_SUM_DEBT)	MIN(bureau.AMT_CREDIT_SUM_LIMIT)	MIN(bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(bureau.CNT_CREDIT_PROLONG)	MIN(bureau.CREDIT_DAY_OVERDUE)	MIN(bureau.DAYS_CREDIT)	MIN(bureau.DAYS_CREDIT_ENDDATE)	MIN(bureau.DAYS_CREDIT_UPDATE)	MIN(bureau.DAYS_ENDDATE_FACT)	MODE(bureau.CREDIT_ACTIVE)	MODE(bureau.CREDIT_CURRENCY)	MODE(bureau.CREDIT_TYPE)	SUM(bureau.AMT_ANNUITY)	SUM(bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(bureau.AMT_CREDIT_SUM)	SUM(bureau.AMT_CREDIT_SUM_DEBT)	SUM(bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(bureau.CNT_CREDIT_PROLONG)	SUM(bureau.CREDIT_DAY_OVERDUE)	SUM(bureau.DAYS_CREDIT)	SUM(bureau.DAYS_CREDIT_ENDDATE)	SUM(bureau.DAYS_CREDIT_UPDATE)	SUM(bureau.DAYS_ENDDATE_FACT)	COUNT(bureau_balance)	MAX(bureau_balance.MONTHS_BALANCE)	MEAN(bureau_balance.MONTHS_BALANCE)	MIN(bureau_balance.MONTHS_BALANCE)	MODE(bureau_balance.STATUS)	SUM(bureau_balance.MONTHS_BALANCE)	COUNT(previous)	MAX(previous.AMT_ANNUITY)	MAX(previous.AMT_APPLICATION)	MAX(previous.AMT_CREDIT)	MAX(previous.AMT_DOWN_PAYMENT)	MAX(previous.AMT_GOODS_PRICE)	MAX(previous.CNT_PAYMENT)	MAX(previous.DAYS_DECISION)	MAX(previous.DAYS_FIRST_DRAWING)	MAX(previous.DAYS_FIRST_DUE)	MAX(previous.DAYS_LAST_DUE)	MAX(previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(previous.DAYS_TERMINATION)	MAX(previous.HOUR_APPR_PROCESS_START)	MAX(previous.NFLAG_INSURED_ON_APPROVAL)	MAX(previous.NFLAG_LAST_APPL_IN_DAY)	MAX(previous.RATE_DOWN_PAYMENT)	MAX(previous.RATE_INTEREST_PRIMARY)	MAX(previous.RATE_INTEREST_PRIVILEGED)	MAX(previous.SELLERPLACE_AREA)	MEAN(previous.AMT_ANNUITY)	MEAN(previous.AMT_APPLICATION)	MEAN(previous.AMT_CREDIT)	MEAN(previous.AMT_DOWN_PAYMENT)	MEAN(previous.AMT_GOODS_PRICE)	MEAN(previous.CNT_PAYMENT)	MEAN(previous.DAYS_DECISION)	MEAN(previous.DAYS_FIRST_DRAWING)	MEAN(previous.DAYS_FIRST_DUE)	MEAN(previous.DAYS_LAST_DUE)	MEAN(previous.DAYS_LAST_DUE_1ST_VERSION)	MEAN(previous.DAYS_TERMINATION)	MEAN(previous.HOUR_APPR_PROCESS_START)	MEAN(previous.NFLAG_INSURED_ON_APPROVAL)	MEAN(previous.NFLAG_LAST_APPL_IN_DAY)	MEAN(previous.RATE_DOWN_PAYMENT)	MEAN(previous.RATE_INTEREST_PRIMARY)	MEAN(previous.RATE_INTEREST_PRIVILEGED)	MEAN(previous.SELLERPLACE_AREA)	MIN(previous.AMT_ANNUITY)	MIN(previous.AMT_APPLICATION)	MIN(previous.AMT_CREDIT)	MIN(previous.AMT_DOWN_PAYMENT)	MIN(previous.AMT_GOODS_PRICE)	MIN(previous.CNT_PAYMENT)	MIN(previous.DAYS_DECISION)	MIN(previous.DAYS_FIRST_DRAWING)	MIN(previous.DAYS_FIRST_DUE)	MIN(previous.DAYS_LAST_DUE)	MIN(previous.DAYS_LAST_DUE_1ST_VERSION)	MIN(previous.DAYS_TERMINATION)	MIN(previous.HOUR_APPR_PROCESS_START)	MIN(previous.NFLAG_INSURED_ON_APPROVAL)	MIN(previous.NFLAG_LAST_APPL_IN_DAY)	MIN(previous.RATE_DOWN_PAYMENT)	MIN(previous.RATE_INTEREST_PRIMARY)	MIN(previous.RATE_INTEREST_PRIVILEGED)	MIN(previous.SELLERPLACE_AREA)	MODE(previous.CHANNEL_TYPE)	MODE(previous.CODE_REJECT_REASON)	MODE(previous.FLAG_LAST_APPL_PER_CONTRACT)	MODE(previous.NAME_CASH_LOAN_PURPOSE)	MODE(previous.NAME_CLIENT_TYPE)	MODE(previous.NAME_CONTRACT_STATUS)	MODE(previous.NAME_CONTRACT_TYPE)	MODE(previous.NAME_GOODS_CATEGORY)	MODE(previous.NAME_PAYMENT_TYPE)	MODE(previous.NAME_PORTFOLIO)	MODE(previous.NAME_PRODUCT_TYPE)	MODE(previous.NAME_SELLER_INDUSTRY)	MODE(previous.NAME_TYPE_SUITE)	MODE(previous.NAME_YIELD_GROUP)	MODE(previous.PRODUCT_COMBINATION)	MODE(previous.WEEKDAY_APPR_PROCESS_START)	SUM(previous.AMT_ANNUITY)	SUM(previous.AMT_APPLICATION)	SUM(previous.AMT_CREDIT)	SUM(previous.AMT_DOWN_PAYMENT)	SUM(previous.AMT_GOODS_PRICE)	SUM(previous.CNT_PAYMENT)	SUM(previous.DAYS_DECISION)	SUM(previous.DAYS_FIRST_DRAWING)	SUM(previous.DAYS_FIRST_DUE)	SUM(previous.DAYS_LAST_DUE)	SUM(previous.DAYS_LAST_DUE_1ST_VERSION)	SUM(previous.DAYS_TERMINATION)	SUM(previous.HOUR_APPR_PROCESS_START)	SUM(previous.NFLAG_INSURED_ON_APPROVAL)	SUM(previous.NFLAG_LAST_APPL_IN_DAY)	SUM(previous.RATE_DOWN_PAYMENT)	SUM(previous.RATE_INTEREST_PRIMARY)	SUM(previous.RATE_INTEREST_PRIVILEGED)	SUM(previous.SELLERPLACE_AREA)	COUNT(cash)	MAX(cash.CNT_INSTALMENT)	MAX(cash.CNT_INSTALMENT_FUTURE)	MAX(cash.MONTHS_BALANCE)	MAX(cash.SK_DPD)	MAX(cash.SK_DPD_DEF)	MAX(cash.SK_ID_CURR)	MEAN(cash.CNT_INSTALMENT)	MEAN(cash.CNT_INSTALMENT_FUTURE)	MEAN(cash.MONTHS_BALANCE)	MEAN(cash.SK_DPD)	MEAN(cash.SK_DPD_DEF)	MEAN(cash.SK_ID_CURR)	MIN(cash.CNT_INSTALMENT)	MIN(cash.CNT_INSTALMENT_FUTURE)	MIN(cash.MONTHS_BALANCE)	MIN(cash.SK_DPD)	MIN(cash.SK_DPD_DEF)	MIN(cash.SK_ID_CURR)	MODE(cash.NAME_CONTRACT_STATUS)	SUM(cash.CNT_INSTALMENT)	SUM(cash.CNT_INSTALMENT_FUTURE)	SUM(cash.MONTHS_BALANCE)	SUM(cash.SK_DPD)	SUM(cash.SK_DPD_DEF)	SUM(cash.SK_ID_CURR)	COUNT(installments)	MAX(installments.AMT_INSTALMENT)	MAX(installments.AMT_PAYMENT)	MAX(installments.DAYS_ENTRY_PAYMENT)	MAX(installments.DAYS_INSTALMENT)	MAX(installments.NUM_INSTALMENT_NUMBER)	MAX(installments.NUM_INSTALMENT_VERSION)	MAX(installments.SK_ID_CURR)	MEAN(installments.AMT_INSTALMENT)	MEAN(installments.AMT_PAYMENT)	MEAN(installments.DAYS_ENTRY_PAYMENT)	MEAN(installments.DAYS_INSTALMENT)	MEAN(installments.NUM_INSTALMENT_NUMBER)	MEAN(installments.NUM_INSTALMENT_VERSION)	MEAN(installments.SK_ID_CURR)	MIN(installments.AMT_INSTALMENT)	MIN(installments.AMT_PAYMENT)	MIN(installments.DAYS_ENTRY_PAYMENT)	MIN(installments.DAYS_INSTALMENT)	MIN(installments.NUM_INSTALMENT_NUMBER)	MIN(installments.NUM_INSTALMENT_VERSION)	MIN(installments.SK_ID_CURR)	SUM(installments.AMT_INSTALMENT)	SUM(installments.AMT_PAYMENT)	SUM(installments.DAYS_ENTRY_PAYMENT)	SUM(installments.DAYS_INSTALMENT)	SUM(installments.NUM_INSTALMENT_NUMBER)	SUM(installments.NUM_INSTALMENT_VERSION)	SUM(installments.SK_ID_CURR)	COUNT(credit)	MAX(credit.AMT_BALANCE)	MAX(credit.AMT_CREDIT_LIMIT_ACTUAL)	MAX(credit.AMT_DRAWINGS_ATM_CURRENT)	MAX(credit.AMT_DRAWINGS_CURRENT)	MAX(credit.AMT_DRAWINGS_OTHER_CURRENT)	MAX(credit.AMT_DRAWINGS_POS_CURRENT)	MAX(credit.AMT_INST_MIN_REGULARITY)	MAX(credit.AMT_PAYMENT_CURRENT)	MAX(credit.AMT_PAYMENT_TOTAL_CURRENT)	MAX(credit.AMT_RECEIVABLE_PRINCIPAL)	MAX(credit.AMT_RECIVABLE)	MAX(credit.AMT_TOTAL_RECEIVABLE)	MAX(credit.CNT_DRAWINGS_ATM_CURRENT)	MAX(credit.CNT_DRAWINGS_CURRENT)	MAX(credit.CNT_DRAWINGS_OTHER_CURRENT)	MAX(credit.CNT_DRAWINGS_POS_CURRENT)	MAX(credit.CNT_INSTALMENT_MATURE_CUM)	MAX(credit.MONTHS_BALANCE)	MAX(credit.SK_DPD)	MAX(credit.SK_DPD_DEF)	MAX(credit.SK_ID_CURR)	MEAN(credit.AMT_BALANCE)	MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL)	MEAN(credit.AMT_DRAWINGS_ATM_CURRENT)	MEAN(credit.AMT_DRAWINGS_CURRENT)	MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MEAN(credit.AMT_DRAWINGS_POS_CURRENT)	MEAN(credit.AMT_INST_MIN_REGULARITY)	MEAN(credit.AMT_PAYMENT_CURRENT)	MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MEAN(credit.AMT_RECEIVABLE_PRINCIPAL)	MEAN(credit.AMT_RECIVABLE)	MEAN(credit.AMT_TOTAL_RECEIVABLE)	MEAN(credit.CNT_DRAWINGS_ATM_CURRENT)	MEAN(credit.CNT_DRAWINGS_CURRENT)	MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT)	MEAN(credit.CNT_DRAWINGS_POS_CURRENT)	MEAN(credit.CNT_INSTALMENT_MATURE_CUM)	MEAN(credit.MONTHS_BALANCE)	MEAN(credit.SK_DPD)	MEAN(credit.SK_DPD_DEF)	MEAN(credit.SK_ID_CURR)	MIN(credit.AMT_BALANCE)	MIN(credit.AMT_CREDIT_LIMIT_ACTUAL)	MIN(credit.AMT_DRAWINGS_ATM_CURRENT)	MIN(credit.AMT_DRAWINGS_CURRENT)	MIN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MIN(credit.AMT_DRAWINGS_POS_CURRENT)	MIN(credit.AMT_INST_MIN_REGULARITY)	MIN(credit.AMT_PAYMENT_CURRENT)	MIN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MIN(credit.AMT_RECEIVABLE_PRINCIPAL)	MIN(credit.AMT_RECIVABLE)	MIN(credit.AMT_TOTAL_RECEIVABLE)	MIN(credit.CNT_DRAWINGS_ATM_CURRENT)	MIN(credit.CNT_DRAWINGS_CURRENT)	MIN(credit.CNT_DRAWINGS_OTHER_CURRENT)	MIN(credit.CNT_DRAWINGS_POS_CURRENT)	MIN(credit.CNT_INSTALMENT_MATURE_CUM)	MIN(credit.MONTHS_BALANCE)	MIN(credit.SK_DPD)	MIN(credit.SK_DPD_DEF)	MIN(credit.SK_ID_CURR)	MODE(credit.NAME_CONTRACT_STATUS)	SUM(credit.AMT_BALANCE)	SUM(credit.AMT_CREDIT_LIMIT_ACTUAL)	SUM(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(credit.AMT_DRAWINGS_CURRENT)	SUM(credit.AMT_DRAWINGS_OTHER_CURRENT)	SUM(credit.AMT_DRAWINGS_POS_CURRENT)	SUM(credit.AMT_INST_MIN_REGULARITY)	SUM(credit.AMT_PAYMENT_CURRENT)	SUM(credit.AMT_PAYMENT_TOTAL_CURRENT)	SUM(credit.AMT_RECEIVABLE_PRINCIPAL)	SUM(credit.AMT_RECIVABLE)	SUM(credit.AMT_TOTAL_RECEIVABLE)	SUM(credit.CNT_DRAWINGS_ATM_CURRENT)	SUM(credit.CNT_DRAWINGS_CURRENT)	SUM(credit.CNT_DRAWINGS_OTHER_CURRENT)	SUM(credit.CNT_DRAWINGS_POS_CURRENT)	SUM(credit.CNT_INSTALMENT_MATURE_CUM)	SUM(credit.MONTHS_BALANCE)	SUM(credit.SK_DPD)	SUM(credit.SK_DPD_DEF)	SUM(credit.SK_ID_CURR)	MAX(bureau.COUNT(bureau_balance))	MAX(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MAX(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MAX(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.COUNT(bureau_balance))	MEAN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MIN(bureau.COUNT(bureau_balance))	MIN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MIN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MIN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MODE(bureau.MODE(bureau_balance.STATUS))	SUM(bureau.MAX(bureau_balance.MONTHS_BALANCE))	SUM(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	SUM(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MAX(bureau_balance.bureau.AMT_ANNUITY)	MAX(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MAX(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MAX(bureau_balance.bureau.DAYS_CREDIT)	MAX(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MAX(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MAX(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MEAN(bureau_balance.bureau.AMT_ANNUITY)	MEAN(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MEAN(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MEAN(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MEAN(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MEAN(bureau_balance.bureau.DAYS_CREDIT)	MEAN(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MEAN(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MEAN(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MIN(bureau_balance.bureau.AMT_ANNUITY)	MIN(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	MIN(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(bureau_balance.bureau.CNT_CREDIT_PROLONG)	MIN(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	MIN(bureau_balance.bureau.DAYS_CREDIT)	MIN(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	MIN(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	MIN(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MODE(bureau_balance.bureau.CREDIT_ACTIVE)	MODE(bureau_balance.bureau.CREDIT_CURRENCY)	MODE(bureau_balance.bureau.CREDIT_TYPE)	SUM(bureau_balance.bureau.AMT_ANNUITY)	SUM(bureau_balance.bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_DEBT)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau_balance.bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(bureau_balance.bureau.CNT_CREDIT_PROLONG)	SUM(bureau_balance.bureau.CREDIT_DAY_OVERDUE)	SUM(bureau_balance.bureau.DAYS_CREDIT)	SUM(bureau_balance.bureau.DAYS_CREDIT_ENDDATE)	SUM(bureau_balance.bureau.DAYS_CREDIT_UPDATE)	SUM(bureau_balance.bureau.DAYS_ENDDATE_FACT)	MAX(previous.COUNT(cash))	MAX(previous.COUNT(credit))	MAX(previous.COUNT(installments))	MAX(previous.MEAN(cash.CNT_INSTALMENT))	MAX(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	MAX(previous.MEAN(cash.MONTHS_BALANCE))	MAX(previous.MEAN(cash.SK_DPD))	MAX(previous.MEAN(cash.SK_DPD_DEF))	MAX(previous.MEAN(cash.SK_ID_CURR))	MAX(previous.MEAN(credit.AMT_BALANCE))	MAX(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MAX(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	MAX(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	MAX(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	...	MEAN(previous.SUM(credit.CNT_DRAWINGS_CURRENT))	MEAN(previous.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	MEAN(previous.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	MEAN(previous.SUM(credit.MONTHS_BALANCE))	MEAN(previous.SUM(credit.SK_DPD))	MEAN(previous.SUM(credit.SK_DPD_DEF))	MEAN(previous.SUM(credit.SK_ID_CURR))	MEAN(previous.SUM(installments.AMT_INSTALMENT))	MEAN(previous.SUM(installments.AMT_PAYMENT))	MEAN(previous.SUM(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous.SUM(installments.DAYS_INSTALMENT))	MEAN(previous.SUM(installments.NUM_INSTALMENT_NUMBER))	MEAN(previous.SUM(installments.NUM_INSTALMENT_VERSION))	MEAN(previous.SUM(installments.SK_ID_CURR))	MIN(previous.COUNT(cash))	MIN(previous.COUNT(credit))	MIN(previous.COUNT(installments))	MIN(previous.MAX(cash.CNT_INSTALMENT))	MIN(previous.MAX(cash.CNT_INSTALMENT_FUTURE))	MIN(previous.MAX(cash.MONTHS_BALANCE))	MIN(previous.MAX(cash.SK_DPD))	MIN(previous.MAX(cash.SK_DPD_DEF))	MIN(previous.MAX(cash.SK_ID_CURR))	MIN(previous.MAX(credit.AMT_BALANCE))	MIN(previous.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous.MAX(credit.AMT_DRAWINGS_CURRENT))	MIN(previous.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous.MAX(credit.AMT_INST_MIN_REGULARITY))	MIN(previous.MAX(credit.AMT_PAYMENT_CURRENT))	MIN(previous.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	MIN(previous.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous.MAX(credit.AMT_RECIVABLE))	MIN(previous.MAX(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous.MAX(credit.CNT_DRAWINGS_CURRENT))	MIN(previous.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous.MAX(credit.MONTHS_BALANCE))	MIN(previous.MAX(credit.SK_DPD))	MIN(previous.MAX(credit.SK_DPD_DEF))	MIN(previous.MAX(credit.SK_ID_CURR))	MIN(previous.MAX(installments.AMT_INSTALMENT))	MIN(previous.MAX(installments.AMT_PAYMENT))	MIN(previous.MAX(installments.DAYS_ENTRY_PAYMENT))	MIN(previous.MAX(installments.DAYS_INSTALMENT))	MIN(previous.MAX(installments.NUM_INSTALMENT_NUMBER))	MIN(previous.MAX(installments.NUM_INSTALMENT_VERSION))	MIN(previous.MAX(installments.SK_ID_CURR))	MIN(previous.MEAN(cash.CNT_INSTALMENT))	MIN(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	MIN(previous.MEAN(cash.MONTHS_BALANCE))	MIN(previous.MEAN(cash.SK_DPD))	MIN(previous.MEAN(cash.SK_DPD_DEF))	MIN(previous.MEAN(cash.SK_ID_CURR))	MIN(previous.MEAN(credit.AMT_BALANCE))	MIN(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	MIN(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	MIN(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	MIN(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MIN(previous.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous.MEAN(credit.AMT_RECIVABLE))	MIN(previous.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous.MEAN(credit.CNT_DRAWINGS_CURRENT))	MIN(previous.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous.MEAN(credit.MONTHS_BALANCE))	MIN(previous.MEAN(credit.SK_DPD))	MIN(previous.MEAN(credit.SK_DPD_DEF))	MIN(previous.MEAN(credit.SK_ID_CURR))	MIN(previous.MEAN(installments.AMT_INSTALMENT))	MIN(previous.MEAN(installments.AMT_PAYMENT))	MIN(previous.MEAN(installments.DAYS_ENTRY_PAYMENT))	MIN(previous.MEAN(installments.DAYS_INSTALMENT))	MIN(previous.MEAN(installments.NUM_INSTALMENT_NUMBER))	MIN(previous.MEAN(installments.NUM_INSTALMENT_VERSION))	MIN(previous.MEAN(installments.SK_ID_CURR))	MIN(previous.SUM(cash.CNT_INSTALMENT))	MIN(previous.SUM(cash.CNT_INSTALMENT_FUTURE))	MIN(previous.SUM(cash.MONTHS_BALANCE))	MIN(previous.SUM(cash.SK_DPD))	MIN(previous.SUM(cash.SK_DPD_DEF))	MIN(previous.SUM(cash.SK_ID_CURR))	MIN(previous.SUM(credit.AMT_BALANCE))	MIN(previous.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous.SUM(credit.AMT_DRAWINGS_CURRENT))	MIN(previous.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous.SUM(credit.AMT_INST_MIN_REGULARITY))	MIN(previous.SUM(credit.AMT_PAYMENT_CURRENT))	MIN(previous.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	MIN(previous.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous.SUM(credit.AMT_RECIVABLE))	MIN(previous.SUM(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous.SUM(credit.CNT_DRAWINGS_CURRENT))	MIN(previous.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous.SUM(credit.MONTHS_BALANCE))	MIN(previous.SUM(credit.SK_DPD))	MIN(previous.SUM(credit.SK_DPD_DEF))	MIN(previous.SUM(credit.SK_ID_CURR))	MIN(previous.SUM(installments.AMT_INSTALMENT))	MIN(previous.SUM(installments.AMT_PAYMENT))	MIN(previous.SUM(installments.DAYS_ENTRY_PAYMENT))	MIN(previous.SUM(installments.DAYS_INSTALMENT))	MIN(previous.SUM(installments.NUM_INSTALMENT_NUMBER))	MIN(previous.SUM(installments.NUM_INSTALMENT_VERSION))	MIN(previous.SUM(installments.SK_ID_CURR))	MODE(previous.MODE(cash.NAME_CONTRACT_STATUS))	MODE(previous.MODE(credit.NAME_CONTRACT_STATUS))	SUM(previous.MAX(cash.CNT_INSTALMENT))	SUM(previous.MAX(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MAX(cash.MONTHS_BALANCE))	SUM(previous.MAX(cash.SK_DPD))	SUM(previous.MAX(cash.SK_DPD_DEF))	SUM(previous.MAX(cash.SK_ID_CURR))	SUM(previous.MAX(credit.AMT_BALANCE))	SUM(previous.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MAX(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MAX(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MAX(credit.AMT_RECIVABLE))	SUM(previous.MAX(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MAX(credit.MONTHS_BALANCE))	SUM(previous.MAX(credit.SK_DPD))	SUM(previous.MAX(credit.SK_DPD_DEF))	SUM(previous.MAX(credit.SK_ID_CURR))	SUM(previous.MAX(installments.AMT_INSTALMENT))	SUM(previous.MAX(installments.AMT_PAYMENT))	SUM(previous.MAX(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MAX(installments.DAYS_INSTALMENT))	SUM(previous.MAX(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MAX(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MAX(installments.SK_ID_CURR))	SUM(previous.MEAN(cash.CNT_INSTALMENT))	SUM(previous.MEAN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MEAN(cash.MONTHS_BALANCE))	SUM(previous.MEAN(cash.SK_DPD))	SUM(previous.MEAN(cash.SK_DPD_DEF))	SUM(previous.MEAN(cash.SK_ID_CURR))	SUM(previous.MEAN(credit.AMT_BALANCE))	SUM(previous.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MEAN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MEAN(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MEAN(credit.AMT_RECIVABLE))	SUM(previous.MEAN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MEAN(credit.MONTHS_BALANCE))	SUM(previous.MEAN(credit.SK_DPD))	SUM(previous.MEAN(credit.SK_DPD_DEF))	SUM(previous.MEAN(credit.SK_ID_CURR))	SUM(previous.MEAN(installments.AMT_INSTALMENT))	SUM(previous.MEAN(installments.AMT_PAYMENT))	SUM(previous.MEAN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MEAN(installments.DAYS_INSTALMENT))	SUM(previous.MEAN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MEAN(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MEAN(installments.SK_ID_CURR))	SUM(previous.MIN(cash.CNT_INSTALMENT))	SUM(previous.MIN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous.MIN(cash.MONTHS_BALANCE))	SUM(previous.MIN(cash.SK_DPD))	SUM(previous.MIN(cash.SK_DPD_DEF))	SUM(previous.MIN(cash.SK_ID_CURR))	SUM(previous.MIN(credit.AMT_BALANCE))	SUM(previous.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous.MIN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous.MIN(credit.AMT_PAYMENT_CURRENT))	SUM(previous.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous.MIN(credit.AMT_RECIVABLE))	SUM(previous.MIN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous.MIN(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous.MIN(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous.MIN(credit.MONTHS_BALANCE))	SUM(previous.MIN(credit.SK_DPD))	SUM(previous.MIN(credit.SK_DPD_DEF))	SUM(previous.MIN(credit.SK_ID_CURR))	SUM(previous.MIN(installments.AMT_INSTALMENT))	SUM(previous.MIN(installments.AMT_PAYMENT))	SUM(previous.MIN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous.MIN(installments.DAYS_INSTALMENT))	SUM(previous.MIN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous.MIN(installments.NUM_INSTALMENT_VERSION))	SUM(previous.MIN(installments.SK_ID_CURR))	MAX(cash.previous.AMT_ANNUITY)	MAX(cash.previous.AMT_APPLICATION)	MAX(cash.previous.AMT_CREDIT)	MAX(cash.previous.AMT_DOWN_PAYMENT)	MAX(cash.previous.AMT_GOODS_PRICE)	MAX(cash.previous.CNT_PAYMENT)	MAX(cash.previous.DAYS_DECISION)	MAX(cash.previous.DAYS_FIRST_DRAWING)	MAX(cash.previous.DAYS_FIRST_DUE)	MAX(cash.previous.DAYS_LAST_DUE)	MAX(cash.previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(cash.previous.DAYS_TERMINATION)	MAX(cash.previous.HOUR_APPR_PROCESS_START)	MAX(cash.previous.NFLAG_INSURED_ON_APPROVAL)	MAX(cash.previous.NFLAG_LAST_APPL_IN_DAY)	MAX(cash.previous.RATE_DOWN_PAYMENT)	MAX(cash.previous.RATE_INTEREST_PRIMARY)	MAX(cash.previous.RATE_INTEREST_PRIVILEGED)	MAX(cash.previous.SELLERPLACE_AREA)	MEAN(cash.previous.AMT_ANNUITY)	MEAN(cash.previous.AMT_APPLICATION)	MEAN(cash.previous.AMT_CREDIT)	MEAN(cash.previous.AMT_DOWN_PAYMENT)	MEAN(cash.previous.AMT_GOODS_PRICE)	MEAN(cash.previous.CNT_PAYMENT)	MEAN(cash.previous.DAYS_DECISION)	MEAN(cash.previous.DAYS_FIRST_DRAWING)	MEAN(cash.previous.DAYS_FIRST_DUE)	MEAN(cash.previous.DAYS_LAST_DUE)	MEAN(cash.previous.DAYS_LAST_DUE_1ST_VERSION)	MEAN(cash.previous.DAYS_TERMINATION)	MEAN(cash.previous.HOUR_APPR_PROCESS_START)	MEAN(cash.previous.NFLAG_INSURED_ON_APPROVAL)	MEAN(cash.previous.NFLAG_LAST_APPL_IN_DAY)	MEAN(cash.previous.RATE_DOWN_PAYMENT)	MEAN(cash.previous.RATE_INTEREST_PRIMARY)	MEAN(cash.previous.RATE_INTEREST_PRIVILEGED)	MEAN(cash.previous.SELLERPLACE_AREA)	MIN(cash.previous.AMT_ANNUITY)	MIN(cash.previous.AMT_APPLICATION)	MIN(cash.previous.AMT_CREDIT)	MIN(cash.previous.AMT_DOWN_PAYMENT)	MIN(cash.previous.AMT_GOODS_PRICE)	MIN(cash.previous.CNT_PAYMENT)	MIN(cash.previous.DAYS_DECISION)	MIN(cash.previous.DAYS_FIRST_DRAWING)	MIN(cash.previous.DAYS_FIRST_DUE)	MIN(cash.previous.DAYS_LAST_DUE)	MIN(cash.previous.DAYS_LAST_DUE_1ST_VERSION)	MIN(cash.previous.DAYS_TERMINATION)	MIN(cash.previous.HOUR_APPR_PROCESS_START)	MIN(cash.previous.NFLAG_INSURED_ON_APPROVAL)	MIN(cash.previous.NFLAG_LAST_APPL_IN_DAY)	MIN(cash.previous.RATE_DOWN_PAYMENT)	MIN(cash.previous.RATE_INTEREST_PRIMARY)	MIN(cash.previous.RATE_INTEREST_PRIVILEGED)	MIN(cash.previous.SELLERPLACE_AREA)	MODE(cash.previous.CHANNEL_TYPE)	MODE(cash.previous.CODE_REJECT_REASON)	MODE(cash.previous.FLAG_LAST_APPL_PER_CONTRACT)	MODE(cash.previous.NAME_CASH_LOAN_PURPOSE)	MODE(cash.previous.NAME_CLIENT_TYPE)	MODE(cash.previous.NAME_CONTRACT_STATUS)	MODE(cash.previous.NAME_CONTRACT_TYPE)	MODE(cash.previous.NAME_GOODS_CATEGORY)	MODE(cash.previous.NAME_PAYMENT_TYPE)	MODE(cash.previous.NAME_PORTFOLIO)	MODE(cash.previous.NAME_PRODUCT_TYPE)	MODE(cash.previous.NAME_SELLER_INDUSTRY)	MODE(cash.previous.NAME_TYPE_SUITE)	MODE(cash.previous.NAME_YIELD_GROUP)	MODE(cash.previous.PRODUCT_COMBINATION)	MODE(cash.previous.WEEKDAY_APPR_PROCESS_START)	SUM(cash.previous.AMT_ANNUITY)	SUM(cash.previous.AMT_APPLICATION)	SUM(cash.previous.AMT_CREDIT)	SUM(cash.previous.AMT_DOWN_PAYMENT)	SUM(cash.previous.AMT_GOODS_PRICE)	SUM(cash.previous.CNT_PAYMENT)	SUM(cash.previous.DAYS_DECISION)	SUM(cash.previous.DAYS_FIRST_DRAWING)	SUM(cash.previous.DAYS_FIRST_DUE)	SUM(cash.previous.DAYS_LAST_DUE)	SUM(cash.previous.DAYS_LAST_DUE_1ST_VERSION)	SUM(cash.previous.DAYS_TERMINATION)	SUM(cash.previous.HOUR_APPR_PROCESS_START)	SUM(cash.previous.NFLAG_INSURED_ON_APPROVAL)	SUM(cash.previous.NFLAG_LAST_APPL_IN_DAY)	SUM(cash.previous.RATE_DOWN_PAYMENT)	SUM(cash.previous.RATE_INTEREST_PRIMARY)	SUM(cash.previous.RATE_INTEREST_PRIVILEGED)	SUM(cash.previous.SELLERPLACE_AREA)	MAX(installments.previous.AMT_ANNUITY)	MAX(installments.previous.AMT_APPLICATION)	MAX(installments.previous.AMT_CREDIT)	MAX(installments.previous.AMT_DOWN_PAYMENT)	MAX(installments.previous.AMT_GOODS_PRICE)	MAX(installments.previous.CNT_PAYMENT)	MAX(installments.previous.DAYS_DECISION)	MAX(installments.previous.DAYS_FIRST_DRAWING)	MAX(installments.previous.DAYS_FIRST_DUE)	MAX(installments.previous.DAYS_LAST_DUE)	MAX(installments.previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(installments.previous.DAYS_TERMINATION)	MAX(installments.previous.HOUR_APPR_PROCESS_START)	MAX(installments.previous.NFLAG_INSURED_ON_APPROVAL)	MAX(installments.previous.NFLAG_LAST_APPL_IN_DAY)	MAX(installments.previous.RATE_DOWN_PAYMENT)	MAX(installments.previous.RATE_INTEREST_PRIMARY)	MAX(installments.previous.RATE_INTEREST_PRIVILEGED)	MAX(installments.previous.SELLERPLACE_AREA)	MEAN(installments.previous.AMT_ANNUITY)	MEAN(installments.previous.AMT_APPLICATION)	MEAN(installments.previous.AMT_CREDIT)	MEAN(installments.previous.AMT_DOWN_PAYMENT)	MEAN(installments.previous.AMT_GOODS_PRICE)	MEAN(installments.previous.CNT_PAYMENT)	MEAN(installments.previous.DAYS_DECISION)	MEAN(installments.previous.DAYS_FIRST_DRAWING)	MEAN(installments.previous.DAYS_FIRST_DUE)	MEAN(installments.previous.DAYS_LAST_DUE)	MEAN(installments.previous.DAYS_LAST_DUE_1ST_VERSION)	MEAN(installments.previous.DAYS_TERMINATION)	MEAN(installments.previous.HOUR_APPR_PROCESS_START)	MEAN(installments.previous.NFLAG_INSURED_ON_APPROVAL)	MEAN(installments.previous.NFLAG_LAST_APPL_IN_DAY)	MEAN(installments.previous.RATE_DOWN_PAYMENT)	MEAN(installments.previous.RATE_INTEREST_PRIMARY)	MEAN(installments.previous.RATE_INTEREST_PRIVILEGED)	MEAN(installments.previous.SELLERPLACE_AREA)	MIN(installments.previous.AMT_ANNUITY)	MIN(installments.previous.AMT_APPLICATION)	MIN(installments.previous.AMT_CREDIT)	MIN(installments.previous.AMT_DOWN_PAYMENT)	MIN(installments.previous.AMT_GOODS_PRICE)	MIN(installments.previous.CNT_PAYMENT)	MIN(installments.previous.DAYS_DECISION)	MIN(installments.previous.DAYS_FIRST_DRAWING)	MIN(installments.previous.DAYS_FIRST_DUE)	MIN(installments.previous.DAYS_LAST_DUE)	MIN(installments.previous.DAYS_LAST_DUE_1ST_VERSION)	MIN(installments.previous.DAYS_TERMINATION)	MIN(installments.previous.HOUR_APPR_PROCESS_START)	MIN(installments.previous.NFLAG_INSURED_ON_APPROVAL)	MIN(installments.previous.NFLAG_LAST_APPL_IN_DAY)	MIN(installments.previous.RATE_DOWN_PAYMENT)	MIN(installments.previous.RATE_INTEREST_PRIMARY)	MIN(installments.previous.RATE_INTEREST_PRIVILEGED)	MIN(installments.previous.SELLERPLACE_AREA)	MODE(installments.previous.CHANNEL_TYPE)	MODE(installments.previous.CODE_REJECT_REASON)	MODE(installments.previous.FLAG_LAST_APPL_PER_CONTRACT)	MODE(installments.previous.NAME_CASH_LOAN_PURPOSE)	MODE(installments.previous.NAME_CLIENT_TYPE)	MODE(installments.previous.NAME_CONTRACT_STATUS)	MODE(installments.previous.NAME_CONTRACT_TYPE)	MODE(installments.previous.NAME_GOODS_CATEGORY)	MODE(installments.previous.NAME_PAYMENT_TYPE)	MODE(installments.previous.NAME_PORTFOLIO)	MODE(installments.previous.NAME_PRODUCT_TYPE)	MODE(installments.previous.NAME_SELLER_INDUSTRY)	MODE(installments.previous.NAME_TYPE_SUITE)	MODE(installments.previous.NAME_YIELD_GROUP)	MODE(installments.previous.PRODUCT_COMBINATION)	MODE(installments.previous.WEEKDAY_APPR_PROCESS_START)	SUM(installments.previous.AMT_ANNUITY)	SUM(installments.previous.AMT_APPLICATION)	SUM(installments.previous.AMT_CREDIT)	SUM(installments.previous.AMT_DOWN_PAYMENT)	SUM(installments.previous.AMT_GOODS_PRICE)	SUM(installments.previous.CNT_PAYMENT)	SUM(installments.previous.DAYS_DECISION)	SUM(installments.previous.DAYS_FIRST_DRAWING)	SUM(installments.previous.DAYS_FIRST_DUE)	SUM(installments.previous.DAYS_LAST_DUE)	SUM(installments.previous.DAYS_LAST_DUE_1ST_VERSION)	SUM(installments.previous.DAYS_TERMINATION)	SUM(installments.previous.HOUR_APPR_PROCESS_START)	SUM(installments.previous.NFLAG_INSURED_ON_APPROVAL)	SUM(installments.previous.NFLAG_LAST_APPL_IN_DAY)	SUM(installments.previous.RATE_DOWN_PAYMENT)	SUM(installments.previous.RATE_INTEREST_PRIMARY)	SUM(installments.previous.RATE_INTEREST_PRIVILEGED)	SUM(installments.previous.SELLERPLACE_AREA)	MAX(credit.previous.AMT_ANNUITY)	MAX(credit.previous.AMT_APPLICATION)	MAX(credit.previous.AMT_CREDIT)	MAX(credit.previous.AMT_DOWN_PAYMENT)	MAX(credit.previous.AMT_GOODS_PRICE)	MAX(credit.previous.CNT_PAYMENT)	MAX(credit.previous.DAYS_DECISION)	MAX(credit.previous.DAYS_FIRST_DRAWING)	MAX(credit.previous.DAYS_FIRST_DUE)	MAX(credit.previous.DAYS_LAST_DUE)	MAX(credit.previous.DAYS_LAST_DUE_1ST_VERSION)	MAX(credit.previous.DAYS_TERMINATION)	MAX(credit.previous.HOUR_APPR_PROCESS_START)	MAX(credit.previous.NFLAG_INSURED_ON_APPROVAL)	MAX(credit.previous.NFLAG_LAST_APPL_IN_DAY)	MAX(credit.previous.RATE_DOWN_PAYMENT)	MAX(credit.previous.RATE_INTEREST_PRIMARY)	MAX(credit.previous.RATE_INTEREST_PRIVILEGED)	MAX(credit.previous.SELLERPLACE_AREA)	MEAN(credit.previous.AMT_ANNUITY)	MEAN(credit.previous.AMT_APPLICATION)	MEAN(credit.previous.AMT_CREDIT)	MEAN(credit.previous.AMT_DOWN_PAYMENT)	MEAN(credit.previous.AMT_GOODS_PRICE)	MEAN(credit.previous.CNT_PAYMENT)	MEAN(credit.previous.DAYS_DECISION)	MEAN(credit.previous.DAYS_FIRST_DRAWING)	MEAN(credit.previous.DAYS_FIRST_DUE)	MEAN(credit.previous.DAYS_LAST_DUE)	MEAN(credit.previous.DAYS_LAST_DUE_1ST_VERSION)	MEAN(credit.previous.DAYS_TERMINATION)	MEAN(credit.previous.HOUR_APPR_PROCESS_START)	MEAN(credit.previous.NFLAG_INSURED_ON_APPROVAL)	MEAN(credit.previous.NFLAG_LAST_APPL_IN_DAY)	MEAN(credit.previous.RATE_DOWN_PAYMENT)	MEAN(credit.previous.RATE_INTEREST_PRIMARY)	MEAN(credit.previous.RATE_INTEREST_PRIVILEGED)	MEAN(credit.previous.SELLERPLACE_AREA)	MIN(credit.previous.AMT_ANNUITY)	MIN(credit.previous.AMT_APPLICATION)	MIN(credit.previous.AMT_CREDIT)	MIN(credit.previous.AMT_DOWN_PAYMENT)	MIN(credit.previous.AMT_GOODS_PRICE)	MIN(credit.previous.CNT_PAYMENT)	MIN(credit.previous.DAYS_DECISION)	MIN(credit.previous.DAYS_FIRST_DRAWING)	MIN(credit.previous.DAYS_FIRST_DUE)	MIN(credit.previous.DAYS_LAST_DUE)	MIN(credit.previous.DAYS_LAST_DUE_1ST_VERSION)	MIN(credit.previous.DAYS_TERMINATION)	MIN(credit.previous.HOUR_APPR_PROCESS_START)	MIN(credit.previous.NFLAG_INSURED_ON_APPROVAL)	MIN(credit.previous.NFLAG_LAST_APPL_IN_DAY)	MIN(credit.previous.RATE_DOWN_PAYMENT)	MIN(credit.previous.RATE_INTEREST_PRIMARY)	MIN(credit.previous.RATE_INTEREST_PRIVILEGED)	MIN(credit.previous.SELLERPLACE_AREA)	MODE(credit.previous.CHANNEL_TYPE)	MODE(credit.previous.CODE_REJECT_REASON)	MODE(credit.previous.FLAG_LAST_APPL_PER_CONTRACT)	MODE(credit.previous.NAME_CASH_LOAN_PURPOSE)	MODE(credit.previous.NAME_CLIENT_TYPE)	MODE(credit.previous.NAME_CONTRACT_STATUS)	MODE(credit.previous.NAME_CONTRACT_TYPE)	MODE(credit.previous.NAME_GOODS_CATEGORY)	MODE(credit.previous.NAME_PAYMENT_TYPE)	MODE(credit.previous.NAME_PORTFOLIO)	MODE(credit.previous.NAME_PRODUCT_TYPE)	MODE(credit.previous.NAME_SELLER_INDUSTRY)	MODE(credit.previous.NAME_TYPE_SUITE)	MODE(credit.previous.NAME_YIELD_GROUP)	MODE(credit.previous.PRODUCT_COMBINATION)	MODE(credit.previous.WEEKDAY_APPR_PROCESS_START)	SUM(credit.previous.AMT_ANNUITY)	SUM(credit.previous.AMT_APPLICATION)	SUM(credit.previous.AMT_CREDIT)	SUM(credit.previous.AMT_DOWN_PAYMENT)	SUM(credit.previous.AMT_GOODS_PRICE)	SUM(credit.previous.CNT_PAYMENT)	SUM(credit.previous.DAYS_DECISION)	SUM(credit.previous.DAYS_FIRST_DRAWING)	SUM(credit.previous.DAYS_FIRST_DUE)	SUM(credit.previous.DAYS_LAST_DUE)	SUM(credit.previous.DAYS_LAST_DUE_1ST_VERSION)	SUM(credit.previous.DAYS_TERMINATION)	SUM(credit.previous.HOUR_APPR_PROCESS_START)	SUM(credit.previous.NFLAG_INSURED_ON_APPROVAL)	SUM(credit.previous.NFLAG_LAST_APPL_IN_DAY)	SUM(credit.previous.RATE_DOWN_PAYMENT)	SUM(credit.previous.RATE_INTEREST_PRIMARY)	SUM(credit.previous.RATE_INTEREST_PRIVILEGED)	SUM(credit.previous.SELLERPLACE_AREA)
SK_ID_CURR
100002	1	Cash loans	M	N	Y	0	202500.0	406597.5	24700.5	351000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.018801	-9461	-637	-3648.0	-2120	<NA>	1	1	0	1	1	0	Laborers	1.0	2	2	WEDNESDAY	10	0	0	0	0	0	0	Business Entity Type 3	0.083037	0.262949	0.139376	0.0247	0.0369	0.9722	0.6192	0.0143	0.00	0.0690	0.0833	0.1250	0.0369	0.0202	0.0190	0.0000	0.0000	0.0252	0.0383	0.9722	0.6341	0.0144	0.0000	0.0690	0.0833	0.1250	0.0377	0.022	0.0198	0.0	0.0	0.0250	0.0369	0.9722	0.6243	0.0144	0.00	0.0690	0.0833	0.1250	0.0375	0.0205	0.0193	0.0000	0.00	reg oper account	block of flats	0.0149	Stone, brick	No	2	2	2	2	-1134.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	train	8	0.0	5043.645	450000.0	245781.0	31988.565	0.0	0.0	0.0	-103.0	780.0	-7.0	-36.0	0.0	1681.029	108131.945625	49156.200000	7997.14125	0.0	0.0	0.0	-874.000000	-349.000000	-499.875000	-697.500000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1437.0	-1072.0	-1185.0	-1185.0	Closed	currency 1	Consumer credit	0.0	8405.145	865055.565	245781.0	31988.565	0.0	0.0	0.0	-6992.0	-2094.0	-3999.0	-4185.0	0	NaN	NaN	NaN	NaN	0.0	1	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.000000	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.0	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	0.0	0.0	500.0	19	24.0	24.0	-1.0	0.0	0.0	100002.0	24.000000	15.000000	-10.000000	0.000000	0.000000	100002.0	24.0	6.0	-19.0	0.0	0.0	100002.0	Active	456.0	285.0	-190.0	0.0	0.0	1900038.0	19	53093.745	53093.745	-49.0	-25.0	19.0	2.0	100002.0	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	9251.775	9251.775	-587.0	-565.0	1.0	1.0	100002.0	219625.695	219625.695	-5993.0	-5605.0	190.0	20.0	1900038.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19.0	0.0	19.0	24.000000	15.000000	-10.0	0.000000	0.000000	100002.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	219625.6950	219625.69500	-5993.000000	-5605.000000	190.000000	20.000000	1.900038e+06	19.0	0.0	19.0	24.0	24.0	-1.0	0.0	0.0	100002.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	53093.745	53093.745	-49.0	-25.0	19.0	2.0	100002.0	24.000000	15.000000	-10.0	0.0	0.0	100002.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	456.0	285.0	-190.0	0.0	0.0	1900038.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	219625.695	219625.695	-5993.0	-5605.0	190.0	20.0	1900038.0	Active	NaN	24.0	24.0	-1.0	0.0	0.0	100002.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	53093.745	53093.745	-49.0	-25.0	19.0	2.0	100002.0	24.000000	15.000000	-10.0	0.000000	0.000000	100002.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	11559.247105	11559.247105	-315.421053	-295.000000	10.000000	1.052632	100002.0	24.0	6.0	-19.0	0.0	0.0	100002.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	9251.775	9251.775	-587.0	-565.0	1.0	1.0	100002.0	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.0	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	175783.725	3402045.00	3402045.0	0.00	3402045.00	456.0	-11514.0	6939617.0	-10735.0	-475.0	2375.0	-323.0	171.0	0.0	19.0	0.000000	0.0	0.0	9500.0	9251.775	179055.0	179055.0	0.0	179055.0	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	9251.775000	179055.000000	179055.000000	0.000000	179055.000000	24.000000	-606.000000	365243.000000	-565.000000	-25.000000	125.000000	-17.000000	9.000000	0.000000	1.0	0.000000	NaN	NaN	500.000000	9251.775	179055.00	179055.0	0.00	179055.00	24.0	-606.0	365243.0	-565.0	-25.0	125.0	-17.0	9.0	0.0	1.0	0.000000	NaN	NaN	500.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Vehicles	XNA	POS	XNA	Auto technology	NaN	low_normal	POS other with interest	SATURDAY	175783.725	3402045.0	3402045.0	0.0	3402045.0	456.0	-11514.0	6939617.0	-10735.0	-475.0	2375.0	-323.0	171.0	0.0	19.0	0.000000	0.0	0.0	9500.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100003	0	Cash loans	F	N	N	0	270000.0	1293502.5	35698.5	1129500.0	Family	State servant	Higher education	Married	House / apartment	0.003541	-16765	-1188	-1186.0	-291	<NA>	1	1	0	1	1	0	Core staff	2.0	1	1	MONDAY	11	0	0	0	0	0	0	School	0.311267	0.622246	NaN	0.0959	0.0529	0.9851	0.7960	0.0605	0.08	0.0345	0.2917	0.3333	0.0130	0.0773	0.0549	0.0039	0.0098	0.0924	0.0538	0.9851	0.8040	0.0497	0.0806	0.0345	0.2917	0.3333	0.0128	0.079	0.0554	0.0	0.0	0.0968	0.0529	0.9851	0.7987	0.0608	0.08	0.0345	0.2917	0.3333	0.0132	0.0787	0.0558	0.0039	0.01	reg oper account	block of flats	0.0714	Block	No	1	0	1	0	-828.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	4	NaN	0.000	810000.0	0.0	810000.000	0.0	0.0	0.0	-606.0	1216.0	-43.0	-540.0	NaN	0.000	254350.125000	0.000000	202500.00000	0.0	0.0	0.0	-1400.750000	-544.500000	-816.000000	-1097.333333	NaN	0.0	22248.0	0.0	0.0	0.0	0.0	0.0	-2586.0	-2434.0	-2131.0	-2131.0	Closed	currency 1	Consumer credit	0.0	0.000	1017400.500	0.0	810000.000	0.0	0.0	0.0	-5603.0	-2178.0	-3264.0	-3292.0	0	NaN	NaN	NaN	NaN	0.0	3	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	56553.990000	435436.500000	484191.000000	3442.500000	435436.500000	10.000000	-1305.000000	365243.000000	-1274.333333	-1054.333333	-1004.333333	-1047.333333	14.666667	0.666667	1.0	0.050030	NaN	NaN	533.000000	6737.310	68809.5	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	Cash X-Sell: low	FRIDAY	169661.970	1306309.50	1452573.0	6885.00	1306309.50	30.0	-3915.0	1095729.0	-3823.0	-3163.0	-3013.0	-3142.0	44.0	2.0	3.0	0.100061	0.0	0.0	1599.0	28	12.0	12.0	-18.0	0.0	0.0	100003.0	10.107143	5.785714	-43.785714	0.000000	0.000000	100003.0	6.0	0.0	-77.0	0.0	0.0	100003.0	Active	283.0	162.0	-1226.0	0.0	0.0	2800084.0	25	560835.360	560835.360	-544.0	-536.0	12.0	2.0	100003.0	64754.586000	64754.586000	-1385.320000	-1378.160000	5.080000	1.040000	100003.0	6662.970	6662.970	-2324.0	-2310.0	1.0	1.0	100003.0	1618864.650	1618864.650	-34633.0	-34454.0	127.0	26.0	2500075.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	12.0	0.0	12.0	12.000000	7.875000	-21.5	0.000000	0.000000	100003.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	539621.5500	539621.55000	-11544.333333	-11484.666667	42.333333	8.666667	8.333583e+05	8.0	0.0	6.0	6.0	6.0	-66.0	0.0	0.0	100003.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	6737.310	6737.310	-1985.0	-1980.0	6.0	1.0	100003.0	6.000000	2.625000	-71.5	0.0	0.0	100003.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	6731.115000	6731.115000	-2151.750000	-2145.000000	3.500000	1.000000	100003.0	48.0	21.0	-858.0	0.0	0.0	800024.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	80773.380	80773.380	-25821.0	-25740.0	21.0	6.0	600018.0	Active	NaN	30.0	30.0	-105.0	0.0	0.0	300009.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	632140.335	632140.335	-3190.0	-3163.0	25.0	4.0	300009.0	29.375000	17.000000	-117.5	0.000000	0.000000	300009.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	235675.437857	235675.437857	-3515.345238	-3493.000000	14.000000	3.142857	300009.0	25.0	1.0	-130.0	0.0	0.0	300009.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	169295.580	169295.580	-3849.0	-3823.0	3.0	3.0	300009.0	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	49437.321429	383061.214286	424742.785714	4131.000000	383061.214286	10.285714	-1453.000000	365243.0	-1422.285714	-1186.571429	-1143.714286	-1180.000000	14.714286	0.714286	1.0	0.060036	NaN	NaN	485.428571	6737.310	68809.50	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	1384245.000	10725714.00	11892798.0	82620.00	10725714.00	288.0	-40684.0	10226804.0	-39824.0	-33224.0	-32024.0	-33040.0	412.0	20.0	28.0	1.200727	0.0	0.0	13592.0	98356.995	900000.0	1035882.0	6885.0	900000.0	12.0	-746.0	365243.0	-716.0	-536.0	-386.0	-527.0	17.0	1.0	1.0	0.100061	NaN	NaN	1400.0	46270.107000	366028.560000	406385.640000	4590.000000	366028.560000	10.560000	-1531.280000	365243.000000	-1500.560000	-1255.760000	-1213.760000	-1249.400000	14.640000	0.760000	1.0	0.066707	NaN	NaN	431.720000	6737.310	68809.50	68053.5	0.00	68809.50	6.0	-2341.0	365243.0	-2310.0	-1980.0	-1980.0	-1976.0	12.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Refreshed	Approved	Consumer loans	Consumer Electronics	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	1156752.675	9150714.0	10159641.0	82620.0	9150714.0	264.0	-38282.0	9131075.0	-37514.0	-31394.0	-30344.0	-31235.0	366.0	19.0	25.0	1.200727	0.0	0.0	10793.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100004	0	Revolving loans	M	Y	Y	0	67500.0	135000.0	6750.0	135000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.010032	-19046	-225	-4260.0	-2531	26	1	1	1	1	1	0	Laborers	1.0	2	2	MONDAY	9	0	0	0	0	0	0	Government	NaN	0.555912	0.729567	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-815.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	2	NaN	0.000	94537.8	0.0	0.000	0.0	0.0	0.0	-408.0	-382.0	-382.0	-382.0	NaN	0.000	94518.900000	0.000000	0.00000	0.0	0.0	0.0	-867.000000	-488.500000	-532.000000	-532.500000	NaN	0.0	94500.0	0.0	0.0	0.0	0.0	0.0	-1326.0	-595.0	-682.0	-683.0	Closed	currency 1	Consumer credit	0.0	0.000	189037.800	0.0	0.000	0.0	0.0	0.0	-1734.0	-977.0	-1064.0	-1065.0	0	NaN	NaN	NaN	NaN	0.0	1	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.000000	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.0	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	0.0	0.0	30.0	4	4.0	4.0	-24.0	0.0	0.0	100004.0	3.750000	2.250000	-25.500000	0.000000	0.000000	100004.0	3.0	0.0	-27.0	0.0	0.0	100004.0	Active	15.0	9.0	-102.0	0.0	0.0	400016.0	3	10573.965	10573.965	-727.0	-724.0	3.0	2.0	100004.0	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	5357.250	5357.250	-795.0	-784.0	1.0	1.0	100004.0	21288.465	21288.465	-2285.0	-2262.0	6.0	4.0	300012.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	4.0	0.0	3.0	3.750000	2.250000	-25.5	0.000000	0.000000	100004.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	21288.4650	21288.46500	-2285.000000	-2262.000000	6.000000	4.000000	3.000120e+05	4.0	0.0	3.0	4.0	4.0	-24.0	0.0	0.0	100004.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	10573.965	10573.965	-727.0	-724.0	3.0	2.0	100004.0	3.750000	2.250000	-25.5	0.0	0.0	100004.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	15.0	9.0	-102.0	0.0	0.0	400016.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	21288.465	21288.465	-2285.0	-2262.0	6.0	4.0	300012.0	Active	NaN	4.0	4.0	-24.0	0.0	0.0	100004.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	10573.965	10573.965	-727.0	-724.0	3.0	2.0	100004.0	3.750000	2.250000	-25.5	0.000000	0.000000	100004.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	7096.155000	7096.155000	-761.666667	-754.000000	2.000000	1.333333	100004.0	3.0	0.0	-27.0	0.0	0.0	100004.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	5357.250	5357.250	-795.0	-784.0	1.0	1.0	100004.0	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.0	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	21429.000	97128.00	80424.0	19440.00	97128.00	16.0	-3260.0	1460972.0	-3136.0	-2896.0	-2776.0	-2856.0	20.0	0.0	4.0	0.848030	0.0	0.0	120.0	5357.250	24282.0	20106.0	4860.0	24282.0	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	5357.250000	24282.000000	20106.000000	4860.000000	24282.000000	4.000000	-815.000000	365243.000000	-784.000000	-724.000000	-694.000000	-714.000000	5.000000	0.000000	1.0	0.212008	NaN	NaN	30.000000	5357.250	24282.00	20106.0	4860.00	24282.00	4.0	-815.0	365243.0	-784.0	-724.0	-694.0	-714.0	5.0	0.0	1.0	0.212008	NaN	NaN	30.0	Regional / Local	XAP	Y	XAP	New	Approved	Consumer loans	Mobile	Cash through the bank	POS	XNA	Connectivity	Unaccompanied	middle	POS mobile without interest	FRIDAY	16071.750	72846.0	60318.0	14580.0	72846.0	12.0	-2445.0	1095729.0	-2352.0	-2172.0	-2082.0	-2142.0	15.0	0.0	3.0	0.636023	0.0	0.0	90.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100006	0	Cash loans	F	N	Y	0	135000.0	312682.5	29686.5	297000.0	Unaccompanied	Working	Secondary / secondary special	Civil marriage	House / apartment	0.008019	-19005	-3039	-9833.0	-2437	<NA>	1	1	0	1	0	0	Laborers	2.0	2	2	WEDNESDAY	17	0	0	0	0	0	0	Business Entity Type 3	NaN	0.650442	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-617.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	train	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.000	0.000	0.0	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	NaN	NaN	NaN	NaN	0.0	9	39954.510	688500.0	906615.0	66987.0	688500.0	48.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	23651.175000	272203.260000	291695.500000	34840.170000	408304.890000	23.000000	-272.444444	365243.000000	91066.500000	182477.500000	91584.000000	182481.750000	14.666667	0.000000	1.0	0.163412	NaN	NaN	894.222222	2482.920	0.0	0.0	2693.34	26912.34	0.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	12.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	XNA	Cash	XNA	XNA	Unaccompanied	XNA	Cash	THURSDAY	141907.050	2449829.34	2625259.5	69680.34	2449829.34	138.0	-2452.0	1460972.0	364266.0	729910.0	366336.0	729927.0	132.0	0.0	9.0	0.326824	0.0	0.0	8048.0	21	48.0	48.0	-1.0	0.0	0.0	100006.0	12.000000	8.650000	-9.619048	0.000000	0.000000	100006.0	1.0	0.0	-20.0	0.0	0.0	100006.0	Active	240.0	173.0	-202.0	0.0	0.0	2100126.0	16	691786.890	691786.890	-12.0	-11.0	10.0	2.0	100006.0	62947.088438	62947.088438	-271.625000	-252.250000	4.437500	1.125000	100006.0	2482.920	2482.920	-575.0	-545.0	1.0	1.0	100006.0	1007153.415	1007153.415	-4346.0	-4036.0	71.0	18.0	1600096.0	6	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	0.0	NaN	0.0	NaN	NaN	0.0	-1.0	0.0	0.0	100006.0	0.000000	270000.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	-3.5	0.0	0.0	100006.0	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.000	0.000	NaN	0.0	NaN	NaN	0.0	-6.0	0.0	0.0	100006.0	Active	0.000	1620000.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	-21.0	0.0	0.0	600036.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	10.0	6.0	10.0	16.666667	16.000000	-5.0	0.000000	0.000000	100006.0	0.000000	270000.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	...	0.0	0.0	0.0	0.00	-2.333333	0.0	0.0	6.667067e+04	111905.9350	111905.93500	-482.888889	-448.444444	7.888889	2.000000	1.777884e+05	0.0	0.0	0.0	12.0	12.0	-13.0	0.0	0.0	100006.0	0.0	270000.0	NaN	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	0.0	NaN	0.0	NaN	NaN	0.0	-1.0	0.0	0.0	100006.0	15159.645	15159.645	-438.0	-425.0	1.0	1.0	100006.0	10.000000	7.142857	-16.5	0.0	0.0	100006.0	0.000000	270000.000000	NaN	0.000000	NaN	NaN	0.000000	NaN	0.000000	0.000000	0.000000	0.000000	NaN	0.000000	NaN	NaN	0.000000	-3.5	0.0	0.0	100006.0	5018.265000	5018.265000	-533.400000	-485.000000	1.000000	1.000000	100006.0	0.0	0.0	-132.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-21.0	0.0	0.0	0.0	0.000	0.000	-2667.0	-2425.0	0.0	0.0	0.0	Active	Active	72.0	72.0	-18.0	0.0	0.0	300018.0	0.0	270000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	0.0	0.0	100006.0	735974.055	735974.055	-624.0	-587.0	16.0	5.0	300018.0	38.666667	30.642857	-27.0	0.000000	0.000000	300018.0	0.000000	270000.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	-3.5	0.0	0.0	100006.0	725832.675000	725832.675000	-857.900000	-782.000000	9.500000	4.200000	300018.0	18.0	3.0	-36.0	0.0	0.0	300018.0	0.0	270000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	-6.0	0.0	0.0	100006.0	723297.330	723297.330	-1034.0	-977.0	3.0	4.0	300018.0	29027.520	675000.0	675000.0	66987.0	675000.0	48.0	-181.0	365243.0	-151.0	365243.0	1259.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	18232.217143	266165.177143	233240.571429	38412.040000	266165.177143	17.142857	-409.000000	365243.0	-363.000000	173741.761905	121.285714	173746.333333	15.000000	0.000000	1.0	0.169459	NaN	NaN	3832.714286	2482.920	26912.34	24219.0	2693.34	26912.34	12.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	15.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	high	POS household with interest	SUNDAY	382876.560	5589468.72	4898052.0	691416.72	5589468.72	360.0	-8589.0	7670103.0	-7623.0	3648577.0	2547.0	3648673.0	315.0	0.0	21.0	3.050253	0.0	0.0	80487.0	29027.520	675000.0	675000.0	66987.0	675000.0	48.0	-181.0	365243.0	-151.0	365243.0	1259.0	365243.0	15.0	0.0	1.0	0.217830	NaN	NaN	8025.0	20433.487500	259920.731250	217212.187500	45555.780000	259920.731250	14.250000	-398.500000	365243.000000	-355.375000	228134.625000	42.125000	228137.937500	15.000000	0.000000	1.0	0.181551	NaN	NaN	5024.937500	2482.920	26912.34	24219.0	2693.34	26912.34	12.0	-617.0	365243.0	-545.0	-425.0	-215.0	-416.0	15.0	0.0	1.0	0.108994	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	high	POS household with interest	SUNDAY	326935.800	4158731.7	3475395.0	683336.7	4158731.7	228.0	-6376.0	5843888.0	-5686.0	3650154.0	674.0	3650207.0	240.0	0.0	16.0	2.723270	0.0	0.0	80399.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	13500.0	270000.0	270000.0	NaN	270000.0	0.0	-181.0	365243.0	365243.0	365243.0	365243.0	365243.0	15.0	0.0	1.0	NaN	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	Unaccompanied	XNA	Card X-Sell	THURSDAY	81000.0	1620000.0	1620000.0	0.0	1620000.0	0.0	-1086.0	2191458.0	2191458.0	2191458.0	2191458.0	2191458.0	90.0	0.0	6.0	0.0	0.0	0.0	-6.0
100007	0	Cash loans	M	N	Y	0	121500.0	513000.0	21865.5	513000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.028663	-19932	-3038	-4311.0	-3458	<NA>	1	1	0	1	0	0	Core staff	1.0	2	2	THURSDAY	11	0	0	0	0	1	1	Religion	NaN	0.322738	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-1106.0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	1	NaN	0.000	146250.0	0.0	0.000	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	NaN	0.000	146250.000000	0.000000	0.00000	0.0	0.0	0.0	-1149.000000	-783.000000	-783.000000	-783.000000	NaN	0.0	146250.0	0.0	0.0	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	Closed	currency 1	Consumer credit	0.0	0.000	146250.000	0.0	0.000	0.0	0.0	0.0	-1149.0	-783.0	-783.0	-783.0	0	NaN	NaN	NaN	NaN	0.0	6	22678.785	247500.0	284400.0	3676.5	247500.0	48.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12278.805000	150530.250000	166638.750000	3390.750000	150530.250000	20.666667	-1222.833333	365243.000000	-1263.200000	72136.200000	-837.200000	72143.800000	12.333333	0.600000	1.0	0.159516	NaN	NaN	409.166667	1834.290	17176.5	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Family	high	Cash X-Sell: middle	SUNDAY	73672.830	903181.50	999832.5	6781.50	903181.50	124.0	-7337.0	1826215.0	-6316.0	360681.0	-4186.0	360719.0	74.0	3.0	6.0	0.319033	0.0	0.0	2455.0	66	24.0	24.0	-1.0	0.0	0.0	100007.0	15.333333	8.969697	-33.636364	0.000000	0.000000	100007.0	10.0	0.0	-77.0	0.0	0.0	100007.0	Active	1012.0	592.0	-2220.0	0.0	0.0	6600462.0	66	22678.785	22678.785	-14.0	-14.0	17.0	2.0	100007.0	12666.444545	12214.060227	-1032.242424	-1028.606061	7.045455	1.166667	100007.0	1821.780	0.180	-2318.0	-2326.0	1.0	1.0	100007.0	835985.340	806127.975	-68128.0	-67888.0	465.0	77.0	6600462.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	18.0	0.0	17.0	24.000000	18.500000	-6.5	0.000000	0.000000	100007.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	139330.8900	134354.66250	-11354.666667	-11314.666667	77.500000	12.833333	1.100077e+06	0.0	0.0	0.0	10.0	10.0	-68.0	0.0	0.0	100007.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1834.290	1834.290	-2044.0	-2056.0	10.0	1.0	100007.0	10.000000	5.500000	-72.5	0.0	0.0	100007.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1833.039000	1833.039000	-2186.200000	-2191.000000	5.500000	1.000000	100007.0	0.0	0.0	-725.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	-21862.0	-21910.0	0.0	0.0	0.0	Active	NaN	76.0	76.0	-150.0	0.0	0.0	500035.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	60661.845	60661.845	-4587.0	-4576.0	63.0	6.0	500035.0	75.333333	44.833333	-180.5	0.000000	0.000000	500035.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	60614.978690	58357.701052	-5453.842696	-5439.406593	34.219780	5.647059	500035.0	75.0	14.0	-211.0	0.0	0.0	500035.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	59968.260	33928.830	-6352.0	-6316.0	5.0	5.0	500035.0	22678.785	247500.0	274288.5	3676.5	247500.0	24.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12872.901136	142686.818182	149734.636364	3353.478261	142686.818182	15.515152	-1227.121212	365243.0	-1196.303030	65575.878788	-760.848485	65583.212121	12.318182	0.530303	1.0	0.151772	NaN	NaN	519.151515	1834.290	17176.50	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Unaccompanied	high	Cash X-Sell: middle	SUNDAY	849611.475	9417330.00	9882486.0	77130.00	9417330.00	1024.0	-80990.0	24106038.0	-78956.0	4328008.0	-50216.0	4328492.0	813.0	35.0	66.0	3.490757	0.0	0.0	34264.0	22678.785	247500.0	274288.5	3676.5	247500.0	24.0	-374.0	365243.0	-344.0	365243.0	346.0	365243.0	15.0	1.0	1.0	0.218890	NaN	NaN	1200.0	12677.324318	140429.318182	147471.954545	3343.125000	140429.318182	15.424242	-1240.803030	365243.000000	-1209.969697	65559.939394	-777.242424	65567.303030	12.333333	0.530303	1.0	0.149621	NaN	NaN	501.772727	1834.290	17176.50	14616.0	3105.00	17176.50	10.0	-2357.0	365243.0	-2326.0	-2056.0	-2056.0	-2041.0	8.0	0.0	1.0	0.100143	NaN	NaN	-1.0	Country-wide	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	Consumer electronics	Unaccompanied	high	Cash X-Sell: middle	SUNDAY	836703.405	9268335.0	9733149.0	80235.0	9268335.0	1018.0	-81893.0	24106038.0	-79858.0	4326956.0	-51298.0	4327442.0	814.0	35.0	66.0	3.590900	0.0	0.0	33117.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100008	0	Cash loans	M	N	Y	0	99000.0	490495.5	27517.5	454500.0	Spouse, partner	State servant	Secondary / secondary special	Married	House / apartment	0.035792	-16941	-1588	-4970.0	-477	<NA>	1	1	1	1	1	0	Laborers	2.0	2	2	WEDNESDAY	16	0	0	0	0	0	0	Other	NaN	0.354225	0.621226	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	-2536.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	train	3	NaN	0.000	267606.0	240057.0	0.000	0.0	0.0	0.0	-78.0	471.0	-16.0	-790.0	NaN	0.000	156148.500000	80019.000000	0.00000	0.0	0.0	0.0	-757.333333	-391.333333	-611.000000	-909.000000	NaN	0.0	95134.5	0.0	0.0	0.0	0.0	0.0	-1097.0	-853.0	-1027.0	-1028.0	Closed	currency 1	Consumer credit	0.0	0.000	468445.500	240057.0	0.000	0.0	0.0	0.0	-2272.0	-1174.0	-1833.0	-1818.0	0	NaN	NaN	NaN	NaN	0.0	5	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-82.0	365243.0	-339.0	-69.0	261.0	-66.0	18.0	1.0	1.0	0.110243	NaN	NaN	110.0	15839.696250	155701.800000	162767.700000	5548.500000	194627.250000	14.000000	-1192.000000	365243.000000	-1434.500000	-1209.500000	-1044.500000	-872.750000	12.000000	0.250000	1.0	0.073051	NaN	NaN	73.000000	8019.090	0.0	0.0	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	XNA	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	63358.785	778509.00	813838.5	16645.50	778509.00	56.0	-5960.0	1460972.0	-5738.0	-4838.0	-4178.0	-3491.0	60.0	1.0	5.0	0.219152	0.0	0.0	365.0	83	30.0	30.0	-2.0	1294.0	0.0	100008.0	11.518072	4.108434	-43.662651	339.060241	0.000000	100008.0	6.0	0.0	-84.0	0.0	0.0	100008.0	Active	956.0	341.0	-3624.0	28142.0	0.0	8300664.0	35	432218.295	432218.295	-82.0	-69.0	10.0	2.0	100008.0	27702.964286	27360.502714	-1237.800000	-1263.914286	5.057143	1.028571	100008.0	8003.475	227.160	-2519.0	-2491.0	1.0	1.0	100008.0	969603.750	957617.595	-43323.0	-44237.0	177.0	36.0	3500280.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	55.0	0.0	11.0	27.555556	23.555556	-7.0	511.672727	0.000000	100008.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	193920.7500	191523.51900	-8664.600000	-8847.400000	35.400000	7.200000	7.000560e+05	0.0	0.0	0.0	6.0	6.0	-77.0	0.0	0.0	100008.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8019.090	8019.090	-2365.0	-2341.0	6.0	1.0	100008.0	6.000000	1.000000	-80.5	0.0	0.0	100008.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8016.487500	8016.487500	-2440.833333	-2416.000000	3.500000	1.000000	100008.0	0.0	0.0	-2750.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	-22422.0	-23669.0	0.0	0.0	0.0	Active	NaN	56.0	56.0	-115.0	1294.0	0.0	400032.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	470267.505	470267.505	-3569.0	-4838.0	34.0	5.0	400032.0	53.555556	32.203283	-154.5	511.672727	0.000000	400032.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	114190.049591	113100.399136	-5207.446970	-5275.727273	19.409091	4.125000	400032.0	34.0	0.0	-194.0	0.0	0.0	400032.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	63175.320	51416.325	-5804.0	-5738.0	4.0	4.0	400032.0	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-370.0	365243.0	-339.0	-69.0	261.0	-66.0	13.0	1.0	1.0	0.110243	NaN	NaN	110.0	13935.165723	155111.475904	152265.361446	9513.547297	155111.475904	11.783133	-1908.722892	365243.0	-1874.493976	-1622.566265	-1551.000000	-741.626506	9.626506	0.108434	1.0	0.092864	NaN	NaN	94.939759	8019.090	44455.50	39955.5	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	50.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Gardening	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	1156618.755	12874252.50	12638025.0	704002.50	12874252.50	978.0	-158424.0	30315169.0	-155583.0	-134673.0	-128733.0	-61555.0	799.0	9.0	83.0	6.871944	0.0	0.0	7880.0	25309.575	450000.0	501975.0	12145.5	450000.0	30.0	-370.0	365243.0	-339.0	-69.0	261.0	-66.0	13.0	1.0	1.0	0.110243	NaN	NaN	110.0	16086.760714	195106.371429	202397.785714	5948.166667	195106.371429	13.885714	-1419.742857	365243.000000	-1385.628571	-1149.914286	-999.057143	-728.600000	10.200000	0.228571	1.0	0.068869	NaN	NaN	95.314286	8019.090	44455.50	39955.5	0.00	44455.50	6.0	-2536.0	365243.0	-2491.0	-2341.0	-2341.0	-2334.0	9.0	0.0	1.0	0.000000	NaN	NaN	50.0	Country-wide	XAP	Y	XAP	Repeater	Approved	Consumer loans	Gardening	Cash through the bank	POS	XNA	Consumer electronics	Unaccompanied	low_normal	POS household with interest	MONDAY	563036.625	6828723.0	7083922.5	160600.5	6828723.0	486.0	-49691.0	12783505.0	-48497.0	-40247.0	-34967.0	-25501.0	357.0	8.0	35.0	1.859458	0.0	0.0	3336.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100009	0	Cash loans	F	Y	Y	1	171000.0	1560726.0	41301.0	1395000.0	Unaccompanied	Commercial associate	Higher education	Married	House / apartment	0.035792	-13778	-3130	-1213.0	-619	17	1	1	0	1	1	0	Accountants	3.0	2	2	SUNDAY	16	0	0	0	0	0	0	Business Entity Type 3	0.774761	0.724000	0.492060	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	0	1	0	-1562.0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	2	train	18	NaN	0.000	1777500.0	557959.5	0.000	0.0	0.0	0.0	-239.0	1402.0	-23.0	-313.0	NaN	0.000	266711.750000	76953.535714	0.00000	0.0	0.0	0.0	-1271.500000	-794.937500	-851.611111	-1108.500000	NaN	0.0	35770.5	0.0	0.0	0.0	0.0	0.0	-2882.0	-2152.0	-2152.0	-2152.0	Closed	currency 1	Consumer credit	0.0	0.000	4800811.500	1077349.5	0.000	0.0	0.0	0.0	-22887.0	-12719.0	-15329.0	-15519.0	0	NaN	NaN	NaN	NaN	0.0	7	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	10051.412143	76741.714286	70137.642857	9203.142857	76741.714286	8.000000	-719.285714	365243.000000	-688.285714	51666.857143	-478.285714	51672.857143	13.714286	0.000000	1.0	0.126602	NaN	NaN	170.000000	7435.845	40455.0	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	70359.885	537192.00	490963.5	64422.00	537192.00	56.0	-5035.0	2556701.0	-4818.0	361668.0	-3348.0	361710.0	96.0	0.0	7.0	0.886216	0.0	0.0	1190.0	54	12.0	12.0	-1.0	0.0	0.0	100009.0	8.407407	4.296296	-22.240741	0.000000	0.000000	100009.0	6.0	0.0	-51.0	0.0	0.0	100009.0	Active	454.0	232.0	-1201.0	0.0	0.0	5400486.0	47	17341.605	17341.605	-58.0	-43.0	12.0	1.0	100009.0	9858.910213	9858.910213	-693.659574	-685.000000	4.638298	1.000000	100009.0	7421.400	7421.400	-1542.0	-1531.0	1.0	1.0	100009.0	463368.780	463368.780	-32602.0	-32195.0	218.0	47.0	4700423.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	13.0	0.0	12.0	12.000000	9.500000	-1.5	0.000000	0.000000	100009.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	66195.5400	66195.54000	-4657.428571	-4599.285714	31.142857	6.714286	6.714890e+05	2.0	0.0	1.0	6.0	6.0	-43.0	0.0	0.0	100009.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7435.845	7435.845	-1336.0	-1330.0	1.0	1.0	100009.0	6.000000	3.000000	-46.0	0.0	0.0	100009.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7433.437500	7433.437500	-1412.000000	-1405.000000	1.000000	1.000000	100009.0	20.0	19.0	-506.0	0.0	0.0	200018.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	10418.670	10418.670	-14018.0	-13960.0	1.0	1.0	100009.0	Active	NaN	56.0	56.0	-116.0	0.0	0.0	700063.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	70359.885	70359.885	-3682.0	-3618.0	47.0	7.0	700063.0	56.000000	32.192308	-139.5	0.000000	0.000000	700063.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	70351.839000	70351.839000	-4285.716667	-4218.000000	27.000000	7.000000	700063.0	56.0	9.0	-163.0	0.0	0.0	700063.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	70302.105	70302.105	-4884.0	-4818.0	7.0	7.0	700063.0	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	9884.934167	78970.666667	72916.250000	7749.083333	78970.666667	8.407407	-811.425926	365243.0	-780.425926	12960.907407	-558.203704	12967.462963	13.685185	0.000000	1.0	0.108872	NaN	NaN	158.777778	7435.845	40455.00	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	533786.445	4264416.00	3937477.5	418450.50	4264416.00	454.0	-43817.0	19723122.0	-42143.0	699889.0	-30143.0	700243.0	739.0	0.0	54.0	5.879103	0.0	0.0	8574.0	17341.605	110160.0	98239.5	22032.0	110160.0	12.0	-74.0	365243.0	-43.0	365243.0	227.0	365243.0	18.0	0.0	1.0	0.209525	NaN	NaN	300.0	9860.139574	79302.638298	73330.085106	7532.521277	79302.638298	8.468085	-825.148936	365243.000000	-794.148936	7196.191489	-570.106383	7202.829787	13.680851	0.000000	1.0	0.106232	NaN	NaN	157.106383	7435.845	40455.00	38574.0	0.00	40455.00	6.0	-1562.0	365243.0	-1531.0	-1330.0	-1330.0	-1323.0	11.0	0.0	1.0	0.000000	NaN	NaN	18.0	Regional / Local	XAP	Y	XAP	Repeater	Approved	Consumer loans	Audio/Video	Cash through the bank	POS	XNA	Consumer electronics	Family	middle	POS household with interest	SATURDAY	463426.560	3727224.0	3446514.0	354028.5	3727224.0	398.0	-38782.0	17166421.0	-37325.0	338221.0	-26795.0	338533.0	643.0	0.0	47.0	4.992887	0.0	0.0	7384.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100010	0	Cash loans	M	Y	Y	0	360000.0	1530000.0	42075.0	1530000.0	Unaccompanied	State servant	Higher education	Married	House / apartment	0.003122	-18850	-449	-4597.0	-2379	8	1	1	1	1	0	0	Managers	2.0	3	3	MONDAY	16	0	0	0	0	1	1	Other	NaN	0.714279	0.540654	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-1070.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	train	2	NaN	NaN	675000.0	348007.5	0.000	0.0	0.0	0.0	-1138.0	689.0	-18.0	-1138.0	NaN	NaN	495000.000000	174003.750000	0.00000	0.0	0.0	0.0	-1939.500000	-119.500000	-578.000000	-1138.000000	NaN	NaN	315000.0	0.0	0.0	0.0	0.0	0.0	-2741.0	-928.0	-1138.0	-1138.0	Active	currency 1	Consumer credit	0.0	0.000	990000.000	348007.5	0.000	0.0	0.0	0.0	-3879.0	-239.0	-1156.0	-1138.0	0	NaN	NaN	NaN	NaN	0.0	1	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.000000	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.0	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	0.0	0.0	8636.0	11	10.0	10.0	-25.0	0.0	0.0	100010.0	10.000000	5.000000	-30.000000	0.000000	0.000000	100010.0	10.0	0.0	-35.0	0.0	0.0	100010.0	Active	110.0	55.0	-330.0	0.0	0.0	1100110.0	10	27463.410	27463.410	-774.0	-769.0	10.0	1.0	100010.0	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	27321.390	27321.390	-1069.0	-1039.0	1.0	1.0	100010.0	274492.080	274492.080	-9159.0	-9040.0	55.0	10.0	1000100.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	11.0	0.0	10.0	10.000000	5.000000	-30.0	0.000000	0.000000	100010.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	274492.0800	274492.08000	-9159.000000	-9040.000000	55.000000	10.000000	1.000100e+06	11.0	0.0	10.0	10.0	10.0	-25.0	0.0	0.0	100010.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27463.410	27463.410	-774.0	-769.0	10.0	1.0	100010.0	10.000000	5.000000	-30.0	0.0	0.0	100010.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	110.0	55.0	-330.0	0.0	0.0	1100110.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	274492.080	274492.080	-9159.0	-9040.0	55.0	10.0	1000100.0	Active	NaN	10.0	10.0	-25.0	0.0	0.0	100010.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	27463.410	27463.410	-774.0	-769.0	10.0	1.0	100010.0	10.000000	5.000000	-30.0	0.000000	0.000000	100010.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	27449.208000	27449.208000	-915.900000	-904.000000	5.500000	1.000000	100010.0	10.0	0.0	-35.0	0.0	0.0	100010.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	27321.390	27321.390	-1069.0	-1039.0	1.0	1.0	100010.0	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.0	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	302097.510	2719332.00	2868921.0	0.00	2719332.00	110.0	-11770.0	4017673.0	-11429.0	-8459.0	-8459.0	-8382.0	176.0	0.0	11.0	0.000000	0.0	0.0	94996.0	27463.410	247212.0	260811.0	0.0	247212.0	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	27463.410000	247212.000000	260811.000000	0.000000	247212.000000	10.000000	-1070.000000	365243.000000	-1039.000000	-769.000000	-769.000000	-762.000000	16.000000	0.000000	1.0	0.000000	NaN	NaN	8636.000000	27463.410	247212.00	260811.0	0.00	247212.00	10.0	-1070.0	365243.0	-1039.0	-769.0	-769.0	-762.0	16.0	0.0	1.0	0.000000	NaN	NaN	8636.0	Stone	XAP	Y	XAP	New	Approved	Consumer loans	Furniture	Cash through the bank	POS	XNA	Furniture	Family	low_action	POS industry without interest	TUESDAY	274634.100	2472120.0	2608110.0	0.0	2472120.0	100.0	-10700.0	3652430.0	-10390.0	-7690.0	-7690.0	-7620.0	160.0	0.0	10.0	0.000000	0.0	0.0	86360.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
100011	0	Cash loans	F	N	Y	0	112500.0	1019610.0	33826.5	913500.0	Children	Pensioner	Secondary / secondary special	Married	House / apartment	0.018634	-20099	365243	-7427.0	-3514	<NA>	1	0	0	1	0	0	NaN	2.0	2	2	WEDNESDAY	14	0	0	0	0	0	0	XNA	0.587334	0.205747	0.751724	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	0	1	0	0.0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	train	4	NaN	10147.230	145242.0	0.0	0.000	0.0	0.0	0.0	-1309.0	-860.0	-965.0	-968.0	NaN	5073.615	108807.075000	0.000000	0.00000	0.0	0.0	0.0	-1773.000000	-1293.250000	-1454.750000	-1463.250000	NaN	0.0	54000.0	0.0	0.0	0.0	0.0	0.0	-2508.0	-2173.0	-2172.0	-2197.0	Closed	currency 1	Consumer credit	0.0	10147.230	435228.300	0.0	0.000	0.0	0.0	0.0	-7092.0	-5173.0	-5819.0	-5853.0	0	NaN	NaN	NaN	NaN	0.0	4	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1162.0	365243.0	-1159.0	-289.0	365243.0	365243.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	18303.195000	202732.875000	261840.375000	6797.250000	270310.500000	14.000000	-1784.500000	242736.333333	-1955.000000	-1231.000000	120935.666667	121258.000000	11.750000	0.666667	1.0	0.050005	NaN	NaN	342.250000	9000.000	0.0	0.0	0.00	0.00	0.0	-2508.0	-2277.0	-2477.0	-2147.0	-2147.0	-1186.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XAP	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cards	XNA	XNA	Unaccompanied	XNA	Card X-Sell	MONDAY	54909.585	810931.50	1047361.5	13594.50	810931.50	42.0	-7138.0	728209.0	-5865.0	-3693.0	362807.0	363774.0	47.0	2.0	4.0	0.100010	0.0	0.0	1369.0	75	30.0	30.0	-10.0	952.0	9.0	100011.0	19.186667	7.000000	-46.400000	205.666667	0.346667	100011.0	11.0	0.0	-83.0	0.0	0.0	100011.0	Active	1439.0	525.0	-3480.0	15425.0	26.0	7500825.0	130	46485.000	46485.000	-37.0	-37.0	76.0	1.0	100011.0	13575.715615	11328.893654	-1150.923077	-1154.061538	28.446154	0.415385	100011.0	563.355	449.685	-2477.0	-2477.0	1.0	0.0	100011.0	1764843.030	1472756.175	-149620.0	-150028.0	3698.0	54.0	13001430.0	74	189000.0	180000.0	180000.0	180000.0	0.0	0.0	9000.0	55485.0	55485.0	180000.0	189000.0	189000.0	4.0	4.0	0.0	0.0	33.0	-2.0	0.0	0.0	100011.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	0.0	90000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-563.355	-563.355	0.0	0.0	0.0	0.0	1.0	-75.0	0.0	0.0	100011.0	Active	4031676.225	12150000.0	180000.0	180000.0	0.0	0.0	288804.195	358386.75	334485.0	3877754.58	4028055.255	4028055.255	4.0	4.0	0.0	0.0	1881.0	-2849.0	0.0	0.0	7400814.0	0.0	NaN	NaN	0.0	0.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	45.0	74.0	76.0	30.000000	14.900000	-24.5	342.777778	0.577778	100011.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	...	1.0	0.0	0.0	470.25	-712.250000	0.0	0.0	1.850204e+06	441210.7575	368189.04375	-37405.000000	-37507.000000	924.500000	13.500000	3.250358e+06	0.0	0.0	0.0	12.0	12.0	-39.0	0.0	0.0	100011.0	189000.0	180000.0	180000.0	180000.0	0.0	0.0	9000.0	55485.0	55485.0	180000.0	189000.0	189000.0	4.0	4.0	0.0	0.0	33.0	-2.0	0.0	0.0	100011.0	14614.335	14614.335	-1189.0	-2147.0	12.0	0.0	100011.0	11.977778	1.733333	-61.0	0.0	0.0	100011.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	4723.027697	4723.027697	-2219.058824	-2274.058824	7.764706	0.000000	100011.0	0.0	0.0	-2745.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-2849.0	0.0	0.0	0.0	0.000	0.000	-86825.0	-86576.0	0.0	0.0	0.0	Active	Active	42.0	42.0	-49.0	952.0	9.0	200022.0	189000.0	180000.0	180000.0	180000.0	0.0	0.0	9000.0	55485.0	55485.0	180000.0	189000.0	189000.0	4.0	4.0	0.0	0.0	33.0	-2.0	0.0	0.0	100011.0	92394.585	92394.585	-1522.0	-2473.0	118.0	2.0	300033.0	41.977778	16.633333	-85.5	342.777778	0.577778	200022.0	54482.111149	164189.189189	2432.432432	2432.432432	0.0	0.0	3956.221849	4843.064189	4520.067568	52402.088919	54433.179122	54433.179122	0.054054	0.054054	0.0	0.0	25.767123	-38.5	0.0	0.0	100011.0	50617.314701	40401.291433	-4039.087629	-4083.297799	63.562003	2.000000	300033.0	41.0	0.0	-122.0	0.0	0.0	200022.0	0.0	90000.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-563.355	-563.355	0.0	0.0	0.0	0.0	1.0	-75.0	0.0	0.0	100011.0	46049.490	1474.605	-5880.0	-5865.0	3.0	2.0	300033.0	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1189.0	365243.0	-1159.0	-289.0	-289.0	-283.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	21286.701000	351558.900000	373833.900000	8156.700000	351558.900000	19.200000	-1980.400000	365243.0	-1949.800000	-1403.800000	-1403.800000	-824.800000	14.600000	1.000000	1.0	0.060006	NaN	NaN	822.200000	14614.335	135931.50	134446.5	0.00	135931.50	12.0	-2508.0	365243.0	-2477.0	-2147.0	-2147.0	-1186.0	11.0	1.0	1.0	0.000000	NaN	NaN	-1.0	Country-wide	XAP	Y	XAP	New	Approved	Consumer loans	Computers	Cash through the bank	POS	XNA	Consumer electronics	Children	high	POS household with interest	MONDAY	1596502.575	26366917.50	28037542.5	611752.50	26366917.50	1440.0	-148530.0	27393225.0	-146235.0	-105285.0	-105285.0	-61860.0	1095.0	75.0	75.0	4.500470	0.0	0.0	61665.0	31295.250	675000.0	732915.0	13594.5	675000.0	30.0	-1189.0	365243.0	-1159.0	-289.0	365243.0	365243.0	17.0	1.0	1.0	0.100010	NaN	NaN	1371.0	16079.753423	209891.042308	331411.119231	4279.750000	505293.250000	10.107692	-1998.715385	150385.153846	-1956.892308	-1097.876923	213163.661538	213291.038462	11.200000	0.415385	1.0	0.031485	NaN	NaN	179.000000	9000.000	0.00	134446.5	0.00	135931.50	0.0	-2508.0	-2277.0	-2477.0	-2147.0	-2147.0	-1186.0	10.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Contact center	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	Unaccompanied	XNA	Card X-Sell	SATURDAY	2090367.945	27285835.5	43083445.5	231106.5	27285835.5	1314.0	-259833.0	19550070.0	-254396.0	-142724.0	27711276.0	27727835.0	1456.0	54.0	130.0	1.700178	0.0	0.0	23270.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	9000.0	0.0	180000.0	NaN	NaN	0.0	-2279.0	-2277.0	-2229.0	-1257.0	365243.0	365243.0	10.0	0.0	1.0	NaN	NaN	NaN	0.0	Contact center	XAP	Y	XAP	Repeater	Approved	Revolving loans	XNA	XNA	Cards	x-sell	XNA	NaN	XNA	Card X-Sell	SATURDAY	666000.0	0.0	13320000.0	0.0	0.0	0.0	-168646.0	-168498.0	-164946.0	-93018.0	27027982.0	27027982.0	740.0	0.0	74.0	0.0	0.0	0.0	0.0
100012	0	Revolving loans	M	N	Y	0	135000.0	405000.0	20250.0	405000.0	Unaccompanied	Working	Secondary / secondary special	Single / not married	House / apartment	0.019689	-14469	-2019	-14437.0	-3992	<NA>	1	1	0	1	0	0	Laborers	1.0	2	2	THURSDAY	8	0	0	0	0	0	0	Electricity	NaN	0.746644	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2	0	2	0	-1673.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	train	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.000	0.000	0.0	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	NaN	NaN	NaN	NaN	0.0	4	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-107.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	7894.155000	60930.000000	74119.500000	0.000000	81240.000000	18.000000	-779.750000	365243.000000	-973.333333	-563.333333	-463.333333	-559.333333	12.500000	0.666667	1.0	0.000000	NaN	NaN	9.750000	3012.075	0.0	0.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	XNA	XNA	Family	high	Cash X-Sell: high	FRIDAY	23682.465	243720.00	296478.0	0.00	243720.00	54.0	-3119.0	1095729.0	-2920.0	-1690.0	-1390.0	-1678.0	50.0	2.0	4.0	0.000000	0.0	0.0	39.0	46	24.0	23.0	-5.0	0.0	0.0	100012.0	19.021739	10.217391	-22.086957	0.000000	0.000000	100012.0	9.0	0.0	-55.0	0.0	0.0	100012.0	Active	875.0	470.0	-1016.0	0.0	0.0	4600552.0	48	49204.890	58687.245	-151.0	-142.0	23.0	4.0	100012.0	9584.503125	10451.285625	-690.312500	-665.000000	9.041667	2.000000	100012.0	3012.075	5.850	-1645.0	-1641.0	1.0	1.0	100012.0	460056.150	501661.710	-33135.0	-31920.0	434.0	96.0	4800576.0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000	0.0	0.0	0.0	0.0	0.0	0.000	0.00	0.0	0.00	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	23.0	0.0	24.0	23.956522	11.956522	-11.0	0.000000	0.000000	100012.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	...	0.0	0.0	0.0	0.00	0.000000	0.0	0.0	0.000000e+00	115014.0375	125415.42750	-8283.750000	-7980.000000	108.500000	24.000000	1.200144e+06	0.0	0.0	0.0	12.0	9.0	-46.0	0.0	0.0	100012.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	10660.095	10660.095	-1407.0	-1401.0	9.0	2.0	100012.0	9.600000	4.500000	-50.5	0.0	0.0	100012.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3707.349545	3159.699545	-1519.818182	-1515.545455	5.181818	1.090909	100012.0	0.0	0.0	-505.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	-16718.0	-16671.0	0.0	0.0	0.0	Active	NaN	54.0	50.0	-56.0	0.0	0.0	300036.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	81256.770	90739.125	-1713.0	-1690.0	44.0	9.0	300036.0	51.094983	27.994983	-77.5	0.000000	0.000000	300036.0	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.0	0.0	0.000000	0.0	0.0	0.0	0.0	26229.369834	29735.392670	-2366.920746	-2299.737762	23.675408	5.895396	300036.0	44.0	0.0	-99.0	0.0	0.0	300036.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.000	0.000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19312.470	6132.195	-2964.0	-2920.0	3.0	3.0	300036.0	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-507.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	8928.612391	97004.347826	116700.065217	0.000000	97004.347826	19.695652	-922.978261	365243.0	-892.543478	-417.108696	-331.673913	-412.891304	12.695652	0.782609	1.0	0.000000	NaN	NaN	8.347826	3012.075	18720.00	23697.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	XNA	Unaccompanied	high	Cash X-Sell: high	FRIDAY	410716.170	4462200.00	5368203.0	0.00	4462200.00	906.0	-42457.0	16801178.0	-41057.0	-19187.0	-15257.0	-18993.0	584.0	36.0	46.0	0.000000	0.0	0.0	384.0	11188.035	135000.0	158508.0	0.0	135000.0	24.0	-507.0	365243.0	-477.0	-142.0	33.0	-137.0	15.0	1.0	1.0	0.000000	NaN	NaN	42.0	8852.422500	96165.000000	115633.500000	0.000000	96165.000000	19.625000	-936.708333	365243.000000	-906.250000	-431.875000	-347.500000	-427.645833	12.625000	0.770833	1.0	0.000000	NaN	NaN	8.854167	3012.075	18720.00	23697.0	0.00	18720.00	12.0	-1673.0	365243.0	-1641.0	-1401.0	-1311.0	-1397.0	9.0	0.0	1.0	0.000000	NaN	NaN	-1.0	Credit and cash offices	XAP	Y	XNA	Repeater	Approved	Cash loans	XNA	Cash through the bank	Cash	x-sell	XNA	Unaccompanied	high	Cash X-Sell: high	FRIDAY	424916.280	4615920.0	5550408.0	0.0	4615920.0	942.0	-44962.0	17531664.0	-43500.0	-20730.0	-16680.0	-20527.0	606.0	37.0	48.0	0.000000	0.0	0.0	425.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

10 rows × 1211 columns

Notes on Basic Implementation

위의 호출은 featuretools의 작은 부분만을 나타냅니다. entities를 생성할 때 variable types을 지정하지 않았으며, relative time variables를 사용하지 않았으며, custom primitives나 seed features 또는 interesting values를 건드리지 않았습니다. 그럼에도 불구하고, 이 노트북에서 우리는 도구의 작동 방식을 배울 때 보다 효과적으로 사용할 수 있는 기초를 배울 수 있었습니다. 이제 우리가 구축한 몇 가지 features와 모델링 결과를 살펴보겠습니다.

Results

featuretools의 기본적인 구현이 유용한지 여부를 결정하기 위해 몇 가지 결과를 볼 수 있습니다:

다양한 features 세트를 사용한 cross validation scores 및 public leader board scores.
Correlations: features과 TARGET, 그리고 features 자체
Feature importances: gradient boosting machine model에 의해 결정

Feature Performance Experiments

Machine learning task에 대한 다양한 features 세트를 비교하기 위해 여러 실험을 설정했습니다. features의 효과를 구분하기 위해 동일한 모델을 사용하여 다양한 features 세트를 테스트했습니다. 모델은 훈련 및 평가를 위해 5-fold cross validation을 사용하는 기본 LightGBM 알고리즘입니다. 먼저 control 데이터 세트를 설정한 다음 일련의 실험을 수행하고 결과를 제시합니다.

Control: application 데이트 세트만 사용
Test One: application, bureau, bureau_balance를 사용한 manual feature engineering
Test Two: 모든 데이터 세트를 사용한 manual feature engineering
Test Three: featuretools의 기본 features(feature_matrix) 사용
Test Four: featuretools의 우리가 명시한 features(feature_matrix_spec) 사용
Test Five: manual feaeture engineering과 결합한 feaeturetools의 우리가 명시한 feaetures 사용

features의 수는 one-hot encoding 후, validation receiver operating characteristic area under the curce (ROC AUC)은 5-fold cross validation을 사용하여 계산했으며, 테스트 ROC AUC는 public leaderboard에서 가져오고, 설계에 소요된 시간은 데이터 세트를 만드는 데 걸린 시간에 대한 최상의 추정치입니다.

Test	Number of Features	Validation ROC AUC	Test ROC AUC	Time Spent
Control	241	0.760	0.745	0.25 hours
One	421	0.766	0.757	8 hours
Two	1465	0.785	0.783	12 hours
Three	1803	0.784	0.777	1 hour
Four	1156	0.786	0.779	1.25 hours
Five	1624	0. 787	0.782	13.25 hours

Correlations

다음으로 데이터 내의 상관관계를 볼 수 있습니다. target과의 상관 관계를 볼 때, multiple comparisons problem에 주의해야 합니다: 많은 features를 만들면 일부는 단순히 random noise 때문에 target과 상관 관계가 있을 수 있습니다. 상관 관계를 사용하는 것은 “좋은 feature”을 식별하기 위한 첫 번째 근사치로는 괜찮지만, 엄격한 feature selection 방법은 아닙니다.

또한 일부 features를 검토한 결과, featuretools에서 만든 features 간의 collinearity에 문제가 있을 수 있습니다. 서로 상관관계가 높은 features는 테스트 세트에서 interpretability과 generalization performance을 저하시킬 수 있습니다. 이상적인 시나리오는, 서로 독립적인 features를 가지는 것이지만, 실제로는 거의 그럴 일이 없습니다. 상관관계가 매우 높은 변수가 있는 경우 그 중 일부를 제거하는 것이 좋습니다.

상관 관계를 위해 primitives를 지정하여 만든 features인 feature_matrix_spec에 초점을 맞출 것입니다. 동일한 분석을 기본 feature 세트에도 적용할 수 있습니다. 이러한 상관 관계는 feature 행렬의 전체 training section을 사용하여 계산되었습니다.

# https://www.kaggle.com/datasets/willkoehrsen/home-credit-default-risk-feature-tools
# feature_matrix_spec.corr()를 통해 만들어짐
correlations = pd.read_csv('./home_credit/correlations_spec.csv', 
                           index_col=0 # Unnamed: 0 칼럼 이름 제거
                           )
correlations.index.name = 'Variable' # 인덱스 이름 추가
correlations.head()

	SK_ID_CURR	FLAG_EMP_PHONE	DEF_60_CNT_SOCIAL_CIRCLE	LIVE_REGION_NOT_WORK_REGION	YEARS_BEGINEXPLUATATION_AVG	APARTMENTS_MODE	FLAG_MOBIL	FLOORSMIN_MEDI	BASEMENTAREA_AVG	LANDAREA_MODE	FLAG_DOCUMENT_21	AMT_GOODS_PRICE	COMMONAREA_MODE	APARTMENTS_MEDI	EXT_SOURCE_1	EXT_SOURCE_3	FLAG_DOCUMENT_16	LIVINGAPARTMENTS_MODE	ENTRANCES_MEDI	YEARS_BEGINEXPLUATATION_MODE	APARTMENTS_AVG	FLAG_DOCUMENT_12	FLAG_DOCUMENT_5	DAYS_LAST_PHONE_CHANGE	ELEVATORS_MODE	BASEMENTAREA_MODE	FLAG_DOCUMENT_13	FLAG_DOCUMENT_3	REGION_RATING_CLIENT	FLAG_DOCUMENT_6	AMT_REQ_CREDIT_BUREAU_DAY	COMMONAREA_AVG	DAYS_BIRTH	FLAG_DOCUMENT_14	FLOORSMAX_MEDI	OBS_30_CNT_SOCIAL_CIRCLE	YEARS_BEGINEXPLUATATION_MEDI	CNT_FAM_MEMBERS	FLOORSMAX_MODE	YEARS_BUILD_AVG	ENTRANCES_AVG	FLAG_DOCUMENT_10	ENTRANCES_MODE	DAYS_ID_PUBLISH	REGION_POPULATION_RELATIVE	FLAG_DOCUMENT_18	FLAG_DOCUMENT_7	FLAG_DOCUMENT_11	OBS_60_CNT_SOCIAL_CIRCLE	FLAG_DOCUMENT_15	COMMONAREA_MEDI	FLAG_PHONE	DAYS_REGISTRATION	REGION_RATING_CLIENT_W_CITY	NONLIVINGAREA_MEDI	YEARS_BUILD_MODE	AMT_CREDIT	LIVINGAPARTMENTS_MEDI	FLOORSMIN_MODE	EXT_SOURCE_2	HOUR_APPR_PROCESS_START	FLOORSMIN_AVG	YEARS_BUILD_MEDI	OWN_CAR_AGE	FLAG_CONT_MOBILE	FLAG_DOCUMENT_2	REG_REGION_NOT_LIVE_REGION	DEF_30_CNT_SOCIAL_CIRCLE	NONLIVINGAREA_MODE	REG_CITY_NOT_WORK_CITY	DAYS_EMPLOYED	LIVINGAREA_MEDI	FLAG_DOCUMENT_4	ELEVATORS_MEDI	FLAG_DOCUMENT_8	LIVINGAPARTMENTS_AVG	FLAG_DOCUMENT_9	LIVINGAREA_AVG	AMT_REQ_CREDIT_BUREAU_HOUR	FLAG_DOCUMENT_17	NONLIVINGAPARTMENTS_MEDI	CNT_CHILDREN	FLAG_WORK_PHONE	FLAG_DOCUMENT_19	REG_CITY_NOT_LIVE_CITY	NONLIVINGAPARTMENTS_AVG	AMT_INCOME_TOTAL	BASEMENTAREA_MEDI	AMT_REQ_CREDIT_BUREAU_QRT	LANDAREA_AVG	TARGET	LANDAREA_MEDI	TOTALAREA_MODE	AMT_ANNUITY	NONLIVINGAREA_AVG	ELEVATORS_AVG	NONLIVINGAPARTMENTS_MODE	LIVINGAREA_MODE	FLAG_EMAIL	FLOORSMAX_AVG	REG_REGION_NOT_WORK_REGION	LIVE_CITY_NOT_WORK_CITY	AMT_REQ_CREDIT_BUREAU_WEEK	AMT_REQ_CREDIT_BUREAU_YEAR	AMT_REQ_CREDIT_BUREAU_MON	FLAG_DOCUMENT_20	MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MIN(credit.MONTHS_BALANCE)	MAX(credit.AMT_RECEIVABLE_PRINCIPAL)	SUM(credit.AMT_DRAWINGS_OTHER_CURRENT)	MAX(bureau.AMT_ANNUITY)	SUM(previous_app.DAYS_FIRST_DUE)	SUM(bureau_balance.MONTHS_BALANCE)	SUM(previous_app.DAYS_TERMINATION)	COUNT(bureau)	MAX(credit.SK_DPD_DEF)	SUM(previous_app.AMT_DOWN_PAYMENT)	MAX(bureau.DAYS_CREDIT_ENDDATE)	SUM(bureau.DAYS_ENDDATE_FACT)	MAX(previous_app.CNT_PAYMENT)	MIN(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau.CREDIT_DAY_OVERDUE)	MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MIN(credit.AMT_PAYMENT_TOTAL_CURRENT)	MAX(credit.AMT_INST_MIN_REGULARITY)	MAX(previous_app.AMT_GOODS_PRICE)	MEAN(previous_app.AMT_ANNUITY)	MAX(credit.AMT_PAYMENT_TOTAL_CURRENT)	MAX(bureau.DAYS_CREDIT_UPDATE)	SUM(bureau.AMT_CREDIT_SUM_LIMIT)	SUM(previous_app.DAYS_FIRST_DRAWING)	MAX(bureau.AMT_CREDIT_SUM)	MEAN(bureau.AMT_CREDIT_SUM_DEBT)	MIN(previous_app.DAYS_FIRST_DRAWING)	MAX(previous_app.DAYS_DECISION)	MIN(previous_app.DAYS_FIRST_DUE)	MAX(credit.SK_DPD)	MEAN(previous_app.AMT_GOODS_PRICE)	MIN(cash.SK_DPD_DEF)	MIN(bureau.DAYS_ENDDATE_FACT)	MEAN(cash.SK_ID_CURR)	SUM(credit.AMT_BALANCE)	MEAN(bureau.CREDIT_DAY_OVERDUE)	MEAN(installments.NUM_INSTALMENT_VERSION)	MEAN(installments.NUM_INSTALMENT_NUMBER)	MEAN(previous_app.RATE_DOWN_PAYMENT)	MEAN(bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(bureau.CNT_CREDIT_PROLONG)	MIN(previous_app.DAYS_DECISION)	MIN(cash.SK_ID_CURR)	SUM(credit.AMT_PAYMENT_CURRENT)	MEAN(credit.AMT_BALANCE)	MIN(bureau.CNT_CREDIT_PROLONG)	MAX(credit.AMT_DRAWINGS_ATM_CURRENT)	MIN(installments.AMT_INSTALMENT)	MAX(credit.AMT_TOTAL_RECEIVABLE)	SUM(cash.CNT_INSTALMENT)	MAX(previous_app.RATE_INTEREST_PRIMARY)	MEAN(bureau.DAYS_CREDIT_ENDDATE)	MEAN(credit.SK_ID_CURR)	MEAN(previous_app.DAYS_FIRST_DUE)	COUNT(cash)	MEAN(previous_app.DAYS_DECISION)	MEAN(previous_app.DAYS_FIRST_DRAWING)	MEAN(bureau.DAYS_ENDDATE_FACT)	MAX(installments.AMT_PAYMENT)	MAX(previous_app.AMT_ANNUITY)	SUM(bureau.AMT_ANNUITY)	MAX(previous_app.DAYS_FIRST_DRAWING)	MAX(cash.CNT_INSTALMENT_FUTURE)	MEAN(previous_app.NFLAG_LAST_APPL_IN_DAY)	MAX(previous_app.HOUR_APPR_PROCESS_START)	MAX(previous_app.AMT_CREDIT)	MEAN(previous_app.SELLERPLACE_AREA)	MAX(previous_app.RATE_INTEREST_PRIVILEGED)	MIN(previous_app.RATE_DOWN_PAYMENT)	MIN(bureau.AMT_CREDIT_SUM)	MAX(previous_app.DAYS_LAST_DUE)	MIN(previous_app.AMT_CREDIT)	MEAN(credit.AMT_DRAWINGS_ATM_CURRENT)	MEAN(previous_app.AMT_APPLICATION)	MAX(installments.DAYS_INSTALMENT)	MEAN(previous_app.RATE_INTEREST_PRIVILEGED)	MEAN(previous_app.HOUR_APPR_PROCESS_START)	MAX(installments.AMT_INSTALMENT)	SUM(bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(previous_app.RATE_INTEREST_PRIMARY)	MEAN(bureau.DAYS_CREDIT_UPDATE)	MAX(bureau.DAYS_CREDIT)	SUM(credit.AMT_RECEIVABLE_PRINCIPAL)	MAX(credit.AMT_BALANCE)	MAX(credit.AMT_DRAWINGS_OTHER_CURRENT)	MIN(previous_app.CNT_PAYMENT)	MIN(bureau.CREDIT_DAY_OVERDUE)	MIN(cash.CNT_INSTALMENT_FUTURE)	MIN(credit.AMT_RECIVABLE)	MEAN(credit.CNT_DRAWINGS_POS_CURRENT)	SUM(credit.MONTHS_BALANCE)	MAX(bureau.DAYS_ENDDATE_FACT)	MIN(credit.CNT_DRAWINGS_ATM_CURRENT)	MIN(credit.AMT_DRAWINGS_ATM_CURRENT)	COUNT(previous_app)	MIN(credit.SK_ID_CURR)	SUM(previous_app.DAYS_LAST_DUE_1ST_VERSION)	SUM(bureau.DAYS_CREDIT)	MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT)	MIN(installments.DAYS_INSTALMENT)	MIN(credit.SK_DPD_DEF)	MAX(credit.CNT_DRAWINGS_OTHER_CURRENT)	SUM(credit.CNT_DRAWINGS_POS_CURRENT)	MAX(credit.CNT_DRAWINGS_CURRENT)	SUM(bureau.DAYS_CREDIT_UPDATE)	MIN(bureau.DAYS_CREDIT_UPDATE)	MAX(credit.AMT_DRAWINGS_POS_CURRENT)	MIN(previous_app.AMT_DOWN_PAYMENT)	SUM(credit.SK_DPD_DEF)	SUM(installments.AMT_INSTALMENT)	SUM(previous_app.RATE_INTEREST_PRIVILEGED)	MIN(credit.AMT_TOTAL_RECEIVABLE)	SUM(previous_app.DAYS_DECISION)	MAX(cash.CNT_INSTALMENT)	MAX(bureau.CNT_CREDIT_PROLONG)	MEAN(credit.AMT_PAYMENT_CURRENT)	SUM(installments.AMT_PAYMENT)	MEAN(credit.SK_DPD_DEF)	MIN(previous_app.AMT_APPLICATION)	MEAN(credit.CNT_INSTALMENT_MATURE_CUM)	MEAN(installments.AMT_INSTALMENT)	SUM(previous_app.AMT_CREDIT)	MEAN(credit.CNT_DRAWINGS_ATM_CURRENT)	SUM(bureau.AMT_CREDIT_SUM_DEBT)	MIN(credit.AMT_BALANCE)	MEAN(bureau.AMT_ANNUITY)	MEAN(bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(credit.AMT_DRAWINGS_CURRENT)	SUM(bureau.DAYS_CREDIT_ENDDATE)	MEAN(bureau.AMT_CREDIT_SUM)	MAX(installments.DAYS_ENTRY_PAYMENT)	MIN(bureau.AMT_CREDIT_SUM_DEBT)	MAX(installments.NUM_INSTALMENT_NUMBER)	MIN(credit.AMT_DRAWINGS_POS_CURRENT)	COUNT(credit)	MIN(bureau.AMT_CREDIT_MAX_OVERDUE)	MAX(credit.CNT_DRAWINGS_POS_CURRENT)	SUM(previous_app.AMT_APPLICATION)	MIN(previous_app.AMT_GOODS_PRICE)	MIN(previous_app.DAYS_LAST_DUE_1ST_VERSION)	SUM(credit.AMT_DRAWINGS_POS_CURRENT)	MAX(cash.MONTHS_BALANCE)	MAX(credit.CNT_DRAWINGS_ATM_CURRENT)	MAX(previous_app.RATE_DOWN_PAYMENT)	SUM(previous_app.RATE_DOWN_PAYMENT)	MAX(credit.SK_ID_CURR)	SUM(installments.SK_ID_CURR)	MIN(previous_app.DAYS_LAST_DUE)	MEAN(installments.SK_ID_CURR)	MIN(bureau.AMT_ANNUITY)	MIN(previous_app.RATE_INTEREST_PRIMARY)	MAX(previous_app.DAYS_LAST_DUE_1ST_VERSION)	MEAN(credit.AMT_RECEIVABLE_PRINCIPAL)	MIN(previous_app.RATE_INTEREST_PRIVILEGED)	MEAN(bureau.DAYS_CREDIT)	MIN(installments.NUM_INSTALMENT_VERSION)	MEAN(installments.DAYS_ENTRY_PAYMENT)	MEAN(credit.AMT_DRAWINGS_CURRENT)	SUM(previous_app.NFLAG_LAST_APPL_IN_DAY)	SUM(credit.SK_DPD)	MAX(credit.AMT_DRAWINGS_CURRENT)	MAX(previous_app.NFLAG_LAST_APPL_IN_DAY)	SUM(credit.AMT_CREDIT_LIMIT_ACTUAL)	MIN(bureau.AMT_CREDIT_SUM_LIMIT)	MEAN(bureau.CNT_CREDIT_PROLONG)	MEAN(previous_app.DAYS_LAST_DUE_1ST_VERSION)	SUM(installments.NUM_INSTALMENT_VERSION)	MIN(credit.AMT_CREDIT_LIMIT_ACTUAL)	MEAN(cash.SK_DPD_DEF)	SUM(credit.AMT_INST_MIN_REGULARITY)	MEAN(cash.MONTHS_BALANCE)	MEAN(previous_app.RATE_INTEREST_PRIMARY)	MIN(credit.AMT_PAYMENT_CURRENT)	MEAN(bureau_balance.MONTHS_BALANCE)	MIN(cash.MONTHS_BALANCE)	MIN(cash.SK_DPD)	MEAN(credit.AMT_DRAWINGS_POS_CURRENT)	MEAN(credit.MONTHS_BALANCE)	MEAN(credit.SK_DPD)	MAX(bureau.AMT_CREDIT_SUM_LIMIT)	MIN(installments.DAYS_ENTRY_PAYMENT)	MAX(installments.NUM_INSTALMENT_VERSION)	MIN(bureau.DAYS_CREDIT)	MIN(installments.SK_ID_CURR)	SUM(installments.DAYS_INSTALMENT)	SUM(installments.DAYS_ENTRY_PAYMENT)	MEAN(previous_app.CNT_PAYMENT)	SUM(cash.SK_DPD)	SUM(bureau.CREDIT_DAY_OVERDUE)	MIN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MAX(credit.AMT_CREDIT_LIMIT_ACTUAL)	SUM(credit.CNT_DRAWINGS_OTHER_CURRENT)	MAX(bureau_balance.MONTHS_BALANCE)	MEAN(previous_app.AMT_CREDIT)	MEAN(cash.CNT_INSTALMENT)	MIN(credit.SK_DPD)	MAX(bureau.AMT_CREDIT_SUM_DEBT)	SUM(cash.MONTHS_BALANCE)	MIN(previous_app.HOUR_APPR_PROCESS_START)	MIN(credit.CNT_DRAWINGS_OTHER_CURRENT)	SUM(credit.CNT_INSTALMENT_MATURE_CUM)	SUM(previous_app.AMT_ANNUITY)	COUNT(bureau_balance)	MAX(credit.AMT_PAYMENT_CURRENT)	MAX(previous_app.DAYS_FIRST_DUE)	MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL)	SUM(credit.CNT_DRAWINGS_CURRENT)	MIN(credit.AMT_INST_MIN_REGULARITY)	MIN(previous_app.SELLERPLACE_AREA)	MEAN(credit.AMT_INST_MIN_REGULARITY)	SUM(cash.SK_DPD_DEF)	MEAN(cash.SK_DPD)	MAX(installments.SK_ID_CURR)	MIN(previous_app.NFLAG_LAST_APPL_IN_DAY)	MAX(cash.SK_ID_CURR)	SUM(credit.AMT_DRAWINGS_ATM_CURRENT)	MAX(credit.AMT_RECIVABLE)	MEAN(installments.DAYS_INSTALMENT)	MEAN(installments.AMT_PAYMENT)	MAX(credit.MONTHS_BALANCE)	MAX(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(previous_app.AMT_APPLICATION)	MEAN(previous_app.DAYS_TERMINATION)	SUM(previous_app.DAYS_LAST_DUE)	MEAN(credit.AMT_TOTAL_RECEIVABLE)	MAX(previous_app.AMT_DOWN_PAYMENT)	MIN(previous_app.AMT_ANNUITY)	MAX(previous_app.NFLAG_INSURED_ON_APPROVAL)	SUM(previous_app.NFLAG_INSURED_ON_APPROVAL)	MAX(cash.SK_DPD)	MIN(bureau_balance.MONTHS_BALANCE)	MEAN(previous_app.NFLAG_INSURED_ON_APPROVAL)	SUM(bureau.AMT_CREDIT_SUM_OVERDUE)	SUM(previous_app.SELLERPLACE_AREA)	MAX(previous_app.DAYS_TERMINATION)	MAX(cash.SK_DPD_DEF)	MIN(credit.CNT_DRAWINGS_CURRENT)	SUM(previous_app.CNT_PAYMENT)	SUM(credit.CNT_DRAWINGS_ATM_CURRENT)	MIN(bureau.DAYS_CREDIT_ENDDATE)	SUM(credit.AMT_PAYMENT_TOTAL_CURRENT)	SUM(credit.SK_ID_CURR)	MEAN(previous_app.AMT_DOWN_PAYMENT)	MEAN(bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau.AMT_CREDIT_SUM)	MAX(previous_app.SELLERPLACE_AREA)	MIN(installments.AMT_PAYMENT)	SUM(previous_app.AMT_GOODS_PRICE)	MIN(previous_app.NFLAG_INSURED_ON_APPROVAL)	MEAN(credit.AMT_RECIVABLE)	SUM(previous_app.HOUR_APPR_PROCESS_START)	MAX(bureau.AMT_CREDIT_MAX_OVERDUE)	MIN(cash.CNT_INSTALMENT)	MIN(previous_app.DAYS_TERMINATION)	MAX(credit.CNT_INSTALMENT_MATURE_CUM)	MEAN(previous_app.DAYS_LAST_DUE)	SUM(cash.SK_ID_CURR)	COUNT(installments)	MEAN(cash.CNT_INSTALMENT_FUTURE)	SUM(credit.AMT_RECIVABLE)	SUM(cash.CNT_INSTALMENT_FUTURE)	MIN(credit.CNT_DRAWINGS_POS_CURRENT)	MIN(credit.CNT_INSTALMENT_MATURE_CUM)	MIN(credit.AMT_DRAWINGS_CURRENT)	MEAN(credit.CNT_DRAWINGS_CURRENT)	MIN(installments.NUM_INSTALMENT_NUMBER)	SUM(installments.NUM_INSTALMENT_NUMBER)	MIN(credit.AMT_RECEIVABLE_PRINCIPAL)	SUM(credit.AMT_TOTAL_RECEIVABLE)	MAX(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	MEAN(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MIN(credit.SK_DPD))	MAX(previous_app.SUM(installments.AMT_PAYMENT))	MIN(previous_app.SUM(cash.SK_DPD_DEF))	MIN(previous_app.MAX(credit.SK_ID_CURR))	SUM(previous_app.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	SUM(previous_app.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MEAN(cash.MONTHS_BALANCE))	MAX(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MAX(installments.NUM_INSTALMENT_VERSION))	SUM(previous_app.MEAN(installments.SK_ID_CURR))	MIN(previous_app.SUM(cash.SK_ID_CURR))	MAX(previous_app.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous_app.MAX(installments.NUM_INSTALMENT_NUMBER))	SUM(previous_app.MIN(credit.SK_DPD))	MAX(previous_app.SUM(installments.NUM_INSTALMENT_VERSION))	MIN(previous_app.SUM(installments.DAYS_INSTALMENT))	MIN(previous_app.SUM(credit.SK_ID_CURR))	SUM(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	SUM(previous_app.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MEAN(cash.SK_DPD))	SUM(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MEAN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MIN(previous_app.COUNT(installments))	MAX(previous_app.SUM(installments.DAYS_INSTALMENT))	MEAN(previous_app.SUM(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MAX(installments.SK_ID_CURR))	MEAN(previous_app.MIN(installments.SK_ID_CURR))	MAX(previous_app.MIN(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MEAN(credit.AMT_BALANCE))	MEAN(previous_app.MAX(cash.SK_DPD))	MAX(previous_app.MIN(credit.AMT_RECIVABLE))	SUM(previous_app.MEAN(credit.AMT_BALANCE))	MEAN(previous_app.SUM(installments.DAYS_ENTRY_PAYMENT))	SUM(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MIN(previous_app.SUM(installments.AMT_INSTALMENT))	MIN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MAX(previous_app.MEAN(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(previous_app.MIN(cash.MONTHS_BALANCE))	MIN(previous_app.SUM(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.MIN(cash.SK_ID_CURR))	MEAN(previous_app.MIN(credit.SK_DPD_DEF))	MEAN(previous_app.MEAN(credit.AMT_RECIVABLE))	MAX(previous_app.SUM(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous_app.MIN(credit.SK_ID_CURR))	MAX(previous_app.COUNT(installments))	SUM(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.SUM(cash.CNT_INSTALMENT))	SUM(previous_app.MIN(credit.MONTHS_BALANCE))	MIN(previous_app.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous_app.MAX(credit.AMT_INST_MIN_REGULARITY))	SUM(previous_app.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.MIN(credit.CNT_DRAWINGS_CURRENT))	MIN(previous_app.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous_app.MIN(cash.CNT_INSTALMENT))	MEAN(previous_app.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.SUM(cash.SK_DPD))	SUM(previous_app.MIN(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.MAX(credit.AMT_INST_MIN_REGULARITY))	MEAN(previous_app.MAX(installments.AMT_PAYMENT))	MEAN(previous_app.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous_app.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.MAX(credit.SK_DPD))	MIN(previous_app.MAX(installments.NUM_INSTALMENT_NUMBER))	MIN(previous_app.MAX(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MEAN(installments.NUM_INSTALMENT_VERSION))	MEAN(previous_app.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SUM(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous_app.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MAX(cash.SK_ID_CURR))	SUM(previous_app.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.MIN(cash.SK_DPD))	SUM(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous_app.MAX(cash.CNT_INSTALMENT))	MEAN(previous_app.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	MEAN(previous_app.MEAN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MAX(credit.AMT_RECIVABLE))	MIN(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.MEAN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MAX(installments.AMT_PAYMENT))	SUM(previous_app.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MEAN(previous_app.SUM(installments.NUM_INSTALMENT_VERSION))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MEAN(cash.SK_DPD_DEF))	MEAN(previous_app.SUM(installments.NUM_INSTALMENT_NUMBER))	MAX(previous_app.MIN(cash.MONTHS_BALANCE))	SUM(previous_app.MEAN(cash.CNT_INSTALMENT_FUTURE))	MIN(previous_app.SUM(cash.CNT_INSTALMENT_FUTURE))	SUM(previous_app.MIN(credit.AMT_PAYMENT_CURRENT))	MAX(previous_app.MIN(credit.MONTHS_BALANCE))	MAX(previous_app.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.MIN(installments.SK_ID_CURR))	MIN(previous_app.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(previous_app.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.SUM(cash.MONTHS_BALANCE))	MAX(previous_app.SUM(credit.AMT_DRAWINGS_CURRENT))	MIN(previous_app.SUM(credit.AMT_BALANCE))	MIN(previous_app.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous_app.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MAX(cash.MONTHS_BALANCE))	MAX(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.MAX(installments.AMT_INSTALMENT))	...	SUM(previous_app.MIN(installments.AMT_INSTALMENT))	MEAN(previous_app.SUM(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.MEAN(installments.NUM_INSTALMENT_VERSION))	MAX(previous_app.MIN(cash.SK_DPD_DEF))	SUM(previous_app.MIN(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous_app.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MAX(credit.AMT_INST_MIN_REGULARITY))	MAX(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.SUM(credit.SK_DPD))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_CURRENT))	MIN(previous_app.MEAN(cash.SK_DPD_DEF))	MIN(previous_app.MAX(cash.SK_DPD_DEF))	MAX(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.SUM(installments.AMT_PAYMENT))	MEAN(previous_app.SUM(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous_app.MIN(credit.SK_DPD_DEF))	MEAN(previous_app.COUNT(cash))	MEAN(previous_app.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MAX(installments.DAYS_INSTALMENT))	MIN(previous_app.MEAN(credit.AMT_BALANCE))	MEAN(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MAX(cash.MONTHS_BALANCE))	MEAN(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	MAX(previous_app.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.MIN(cash.SK_ID_CURR))	MIN(previous_app.SUM(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MIN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous_app.MAX(credit.MONTHS_BALANCE))	MEAN(previous_app.MIN(cash.SK_DPD))	MAX(previous_app.SUM(installments.AMT_INSTALMENT))	SUM(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MEAN(previous_app.MIN(credit.AMT_INST_MIN_REGULARITY))	MIN(previous_app.MEAN(installments.SK_ID_CURR))	MAX(previous_app.MEAN(credit.AMT_BALANCE))	MIN(previous_app.MEAN(credit.SK_DPD))	MEAN(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous_app.MIN(installments.DAYS_INSTALMENT))	MAX(bureau.COUNT(bureau_balance))	MIN(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.MIN(credit.AMT_BALANCE))	MIN(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous_app.MAX(credit.SK_DPD_DEF))	MEAN(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SUM(cash.SK_ID_CURR))	SUM(previous_app.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.MAX(cash.SK_ID_CURR))	MEAN(previous_app.MAX(installments.AMT_INSTALMENT))	MIN(previous_app.MAX(installments.AMT_INSTALMENT))	MEAN(previous_app.MIN(credit.AMT_DRAWINGS_CURRENT))	MEAN(previous_app.MAX(credit.CNT_DRAWINGS_CURRENT))	SUM(previous_app.MAX(credit.SK_DPD))	MEAN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MAX(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.SUM(cash.SK_ID_CURR))	MAX(previous_app.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	SUM(previous_app.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.MAX(installments.AMT_PAYMENT))	MEAN(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MAX(installments.SK_ID_CURR))	SUM(previous_app.MIN(installments.NUM_INSTALMENT_VERSION))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous_app.MEAN(credit.SK_DPD_DEF))	MIN(previous_app.SUM(credit.AMT_RECIVABLE))	MEAN(previous_app.MAX(credit.SK_ID_CURR))	MEAN(previous_app.MIN(credit.SK_ID_CURR))	MAX(previous_app.SUM(installments.NUM_INSTALMENT_NUMBER))	SUM(previous_app.MAX(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MIN(credit.AMT_RECIVABLE))	MIN(previous_app.MEAN(credit.AMT_RECIVABLE))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_CURRENT))	MIN(previous_app.MEAN(cash.CNT_INSTALMENT))	MAX(previous_app.MIN(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.MEAN(credit.CNT_DRAWINGS_CURRENT))	MEAN(previous_app.MIN(credit.MONTHS_BALANCE))	MAX(previous_app.COUNT(cash))	MAX(previous_app.MEAN(credit.MONTHS_BALANCE))	MAX(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous_app.MEAN(cash.SK_DPD_DEF))	SUM(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	SUM(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.MIN(credit.AMT_BALANCE))	MIN(previous_app.MAX(installments.NUM_INSTALMENT_VERSION))	MIN(previous_app.MEAN(credit.SK_DPD_DEF))	SUM(previous_app.MAX(cash.MONTHS_BALANCE))	MEAN(previous_app.MIN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous_app.MEAN(cash.SK_ID_CURR))	MIN(previous_app.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous_app.MIN(credit.CNT_DRAWINGS_CURRENT))	MEAN(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.MIN(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.SUM(installments.SK_ID_CURR))	MEAN(previous_app.SUM(cash.SK_DPD_DEF))	SUM(previous_app.MEAN(credit.MONTHS_BALANCE))	SUM(previous_app.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	MEAN(previous_app.SUM(credit.AMT_RECIVABLE))	MIN(previous_app.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.SUM(credit.MONTHS_BALANCE))	SUM(previous_app.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous_app.MAX(cash.CNT_INSTALMENT))	MAX(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	MEAN(previous_app.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.SUM(credit.SK_ID_CURR))	MEAN(previous_app.MIN(credit.AMT_PAYMENT_CURRENT))	MAX(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	MAX(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	SUM(previous_app.MAX(credit.AMT_TOTAL_RECEIVABLE))	MEAN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_CURRENT))	MAX(previous_app.MEAN(cash.SK_DPD_DEF))	SUM(previous_app.MIN(cash.SK_ID_CURR))	MEAN(previous_app.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous_app.MEAN(credit.SK_DPD))	SUM(previous_app.MIN(installments.SK_ID_CURR))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.SUM(installments.DAYS_INSTALMENT))	MAX(previous_app.MEAN(credit.SK_DPD))	MEAN(previous_app.MIN(cash.SK_DPD_DEF))	SUM(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.SUM(cash.SK_DPD))	SUM(previous_app.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MEAN(credit.AMT_DRAWINGS_CURRENT))	MEAN(previous_app.SUM(credit.AMT_PAYMENT_CURRENT))	MIN(previous_app.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	SUM(previous_app.MAX(credit.AMT_BALANCE))	SUM(previous_app.MEAN(cash.CNT_INSTALMENT))	MAX(previous_app.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous_app.MEAN(installments.AMT_PAYMENT))	MAX(previous_app.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SUM(previous_app.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous_app.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MAX(cash.SK_DPD))	SUM(previous_app.MIN(cash.SK_DPD))	SUM(previous_app.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(bureau.COUNT(bureau_balance))	SUM(previous_app.MAX(cash.SK_DPD))	MIN(previous_app.MAX(credit.MONTHS_BALANCE))	SUM(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MIN(credit.AMT_INST_MIN_REGULARITY))	MEAN(previous_app.COUNT(installments))	SUM(previous_app.MAX(credit.AMT_PAYMENT_CURRENT))	MAX(previous_app.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MAX(cash.CNT_INSTALMENT))	SUM(previous_app.MAX(installments.DAYS_INSTALMENT))	MIN(previous_app.MEAN(cash.SK_DPD))	MIN(previous_app.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.SUM(installments.AMT_INSTALMENT))	MEAN(previous_app.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MEAN(installments.AMT_INSTALMENT))	MEAN(previous_app.MAX(credit.SK_DPD_DEF))	SUM(previous_app.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous_app.MEAN(installments.SK_ID_CURR))	MEAN(previous_app.MEAN(installments.DAYS_INSTALMENT))	MAX(previous_app.COUNT(credit))	MIN(previous_app.SUM(cash.MONTHS_BALANCE))	MIN(previous_app.MEAN(cash.SK_ID_CURR))	MIN(previous_app.SUM(credit.SK_DPD))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.SUM(cash.SK_DPD))	MAX(previous_app.MIN(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	ORGANIZATION_TYPE_Advertising	ORGANIZATION_TYPE_Agriculture	ORGANIZATION_TYPE_Bank	ORGANIZATION_TYPE_Business Entity Type 1	ORGANIZATION_TYPE_Business Entity Type 2	ORGANIZATION_TYPE_Business Entity Type 3	ORGANIZATION_TYPE_Cleaning	ORGANIZATION_TYPE_Construction	ORGANIZATION_TYPE_Culture	ORGANIZATION_TYPE_Electricity	ORGANIZATION_TYPE_Emergency	ORGANIZATION_TYPE_Government	ORGANIZATION_TYPE_Hotel	ORGANIZATION_TYPE_Housing	ORGANIZATION_TYPE_Industry: type 1	ORGANIZATION_TYPE_Industry: type 10	ORGANIZATION_TYPE_Industry: type 11	ORGANIZATION_TYPE_Industry: type 12	ORGANIZATION_TYPE_Industry: type 13	ORGANIZATION_TYPE_Industry: type 2	ORGANIZATION_TYPE_Industry: type 3	ORGANIZATION_TYPE_Industry: type 4	ORGANIZATION_TYPE_Industry: type 5	ORGANIZATION_TYPE_Industry: type 6	ORGANIZATION_TYPE_Industry: type 7	ORGANIZATION_TYPE_Industry: type 8	ORGANIZATION_TYPE_Industry: type 9	ORGANIZATION_TYPE_Insurance	ORGANIZATION_TYPE_Kindergarten	ORGANIZATION_TYPE_Legal Services	ORGANIZATION_TYPE_Medicine	ORGANIZATION_TYPE_Military	ORGANIZATION_TYPE_Mobile	ORGANIZATION_TYPE_Other	ORGANIZATION_TYPE_Police	ORGANIZATION_TYPE_Postal	ORGANIZATION_TYPE_Realtor	ORGANIZATION_TYPE_Religion	ORGANIZATION_TYPE_Restaurant	ORGANIZATION_TYPE_School	ORGANIZATION_TYPE_Security	ORGANIZATION_TYPE_Security Ministries	ORGANIZATION_TYPE_Self-employed	ORGANIZATION_TYPE_Services	ORGANIZATION_TYPE_Telecom	ORGANIZATION_TYPE_Trade: type 1	ORGANIZATION_TYPE_Trade: type 2	ORGANIZATION_TYPE_Trade: type 3	ORGANIZATION_TYPE_Trade: type 4	ORGANIZATION_TYPE_Trade: type 5	ORGANIZATION_TYPE_Trade: type 6	ORGANIZATION_TYPE_Trade: type 7	ORGANIZATION_TYPE_Transport: type 1	ORGANIZATION_TYPE_Transport: type 2	ORGANIZATION_TYPE_Transport: type 3	ORGANIZATION_TYPE_Transport: type 4	ORGANIZATION_TYPE_University	ORGANIZATION_TYPE_XNA	NAME_INCOME_TYPE_Businessman	NAME_INCOME_TYPE_Commercial associate	NAME_INCOME_TYPE_Maternity leave	NAME_INCOME_TYPE_Pensioner	NAME_INCOME_TYPE_State servant	NAME_INCOME_TYPE_Student	NAME_INCOME_TYPE_Unemployed	NAME_INCOME_TYPE_Working	WALLSMATERIAL_MODE_Block	WALLSMATERIAL_MODE_Mixed	WALLSMATERIAL_MODE_Monolithic	WALLSMATERIAL_MODE_Others	WALLSMATERIAL_MODE_Panel	WALLSMATERIAL_MODE_Stone, brick	WALLSMATERIAL_MODE_Wooden	NAME_CONTRACT_TYPE_Cash loans	NAME_CONTRACT_TYPE_Revolving loans	WEEKDAY_APPR_PROCESS_START_FRIDAY	WEEKDAY_APPR_PROCESS_START_MONDAY	WEEKDAY_APPR_PROCESS_START_SATURDAY	WEEKDAY_APPR_PROCESS_START_SUNDAY	WEEKDAY_APPR_PROCESS_START_THURSDAY	WEEKDAY_APPR_PROCESS_START_TUESDAY	WEEKDAY_APPR_PROCESS_START_WEDNESDAY	FLAG_OWN_CAR_N	FLAG_OWN_CAR_Y	FLAG_OWN_REALTY_N	FLAG_OWN_REALTY_Y	CODE_GENDER_F	CODE_GENDER_M	CODE_GENDER_XNA	OCCUPATION_TYPE_Accountants	OCCUPATION_TYPE_Cleaning staff	OCCUPATION_TYPE_Cooking staff	OCCUPATION_TYPE_Core staff	OCCUPATION_TYPE_Drivers	OCCUPATION_TYPE_HR staff	OCCUPATION_TYPE_High skill tech staff	OCCUPATION_TYPE_IT staff	OCCUPATION_TYPE_Laborers	OCCUPATION_TYPE_Low-skill Laborers	OCCUPATION_TYPE_Managers	OCCUPATION_TYPE_Medicine staff	OCCUPATION_TYPE_Private service staff	OCCUPATION_TYPE_Realty agents	OCCUPATION_TYPE_Sales staff	OCCUPATION_TYPE_Secretaries	OCCUPATION_TYPE_Security staff	OCCUPATION_TYPE_Waiters/barmen staff	NAME_FAMILY_STATUS_Civil marriage	NAME_FAMILY_STATUS_Married	NAME_FAMILY_STATUS_Separated	NAME_FAMILY_STATUS_Single / not married	NAME_FAMILY_STATUS_Unknown	NAME_FAMILY_STATUS_Widow	NAME_TYPE_SUITE_Children	NAME_TYPE_SUITE_Family	NAME_TYPE_SUITE_Group of people	NAME_TYPE_SUITE_Other_A	NAME_TYPE_SUITE_Other_B	NAME_TYPE_SUITE_Spouse, partner	NAME_TYPE_SUITE_Unaccompanied	NAME_EDUCATION_TYPE_Academic degree	NAME_EDUCATION_TYPE_Higher education	NAME_EDUCATION_TYPE_Incomplete higher	NAME_EDUCATION_TYPE_Lower secondary	NAME_EDUCATION_TYPE_Secondary / secondary special	FONDKAPREMONT_MODE_not specified	FONDKAPREMONT_MODE_org spec account	FONDKAPREMONT_MODE_reg oper account	FONDKAPREMONT_MODE_reg oper spec account	EMERGENCYSTATE_MODE_No	EMERGENCYSTATE_MODE_Yes	NAME_HOUSING_TYPE_Co-op apartment	NAME_HOUSING_TYPE_House / apartment	NAME_HOUSING_TYPE_Municipal apartment	NAME_HOUSING_TYPE_Office apartment	NAME_HOUSING_TYPE_Rented apartment	NAME_HOUSING_TYPE_With parents	HOUSETYPE_MODE_block of flats	HOUSETYPE_MODE_specific housing	HOUSETYPE_MODE_terraced house	MODE(bureau.CREDIT_ACTIVE)_Active	MODE(bureau.CREDIT_ACTIVE)_Closed	MODE(bureau.CREDIT_ACTIVE)_Sold	MODE(previous_app.NAME_PRODUCT_TYPE)_XNA	MODE(previous_app.NAME_PRODUCT_TYPE)_walk-in	MODE(previous_app.NAME_PRODUCT_TYPE)_x-sell	MODE(bureau.CREDIT_CURRENCY)_currency 1	MODE(bureau.CREDIT_CURRENCY)_currency 2	MODE(bureau.CREDIT_CURRENCY)_currency 3	MODE(previous_app.NAME_CONTRACT_TYPE)_Cash loans	MODE(previous_app.NAME_CONTRACT_TYPE)_Consumer loans	MODE(previous_app.NAME_CONTRACT_TYPE)_Revolving loans	MODE(previous_app.NAME_CONTRACT_TYPE)_XNA	MODE(previous_app.PRODUCT_COMBINATION)_Card Street	MODE(previous_app.PRODUCT_COMBINATION)_Card X-Sell	MODE(previous_app.PRODUCT_COMBINATION)_Cash	MODE(previous_app.PRODUCT_COMBINATION)_Cash Street: high	MODE(previous_app.PRODUCT_COMBINATION)_Cash Street: low	MODE(previous_app.PRODUCT_COMBINATION)_Cash Street: middle	MODE(previous_app.PRODUCT_COMBINATION)_Cash X-Sell: high	MODE(previous_app.PRODUCT_COMBINATION)_Cash X-Sell: low	MODE(previous_app.PRODUCT_COMBINATION)_Cash X-Sell: middle	MODE(previous_app.PRODUCT_COMBINATION)_POS household with interest	MODE(previous_app.PRODUCT_COMBINATION)_POS household without interest	MODE(previous_app.PRODUCT_COMBINATION)_POS industry with interest	MODE(previous_app.PRODUCT_COMBINATION)_POS industry without interest	MODE(previous_app.PRODUCT_COMBINATION)_POS mobile with interest	MODE(previous_app.PRODUCT_COMBINATION)_POS mobile without interest	MODE(previous_app.PRODUCT_COMBINATION)_POS other with interest	MODE(previous_app.PRODUCT_COMBINATION)_POS others without interest	MODE(previous_app.CHANNEL_TYPE)_AP+ (Cash loan)	MODE(previous_app.CHANNEL_TYPE)_Car dealer	MODE(previous_app.CHANNEL_TYPE)_Channel of corporate sales	MODE(previous_app.CHANNEL_TYPE)_Contact center	MODE(previous_app.CHANNEL_TYPE)_Country-wide	MODE(previous_app.CHANNEL_TYPE)_Credit and cash offices	MODE(previous_app.CHANNEL_TYPE)_Regional / Local	MODE(previous_app.CHANNEL_TYPE)_Stone	MODE(previous_app.NAME_GOODS_CATEGORY)_Additional Service	MODE(previous_app.NAME_GOODS_CATEGORY)_Audio/Video	MODE(previous_app.NAME_GOODS_CATEGORY)_Auto Accessories	MODE(previous_app.NAME_GOODS_CATEGORY)_Clothing and Accessories	MODE(previous_app.NAME_GOODS_CATEGORY)_Computers	MODE(previous_app.NAME_GOODS_CATEGORY)_Construction Materials	MODE(previous_app.NAME_GOODS_CATEGORY)_Consumer Electronics	MODE(previous_app.NAME_GOODS_CATEGORY)_Direct Sales	MODE(previous_app.NAME_GOODS_CATEGORY)_Education	MODE(previous_app.NAME_GOODS_CATEGORY)_Fitness	MODE(previous_app.NAME_GOODS_CATEGORY)_Furniture	MODE(previous_app.NAME_GOODS_CATEGORY)_Gardening	MODE(previous_app.NAME_GOODS_CATEGORY)_Homewares	MODE(previous_app.NAME_GOODS_CATEGORY)_Insurance	MODE(previous_app.NAME_GOODS_CATEGORY)_Jewelry	MODE(previous_app.NAME_GOODS_CATEGORY)_Medical Supplies	MODE(previous_app.NAME_GOODS_CATEGORY)_Medicine	MODE(previous_app.NAME_GOODS_CATEGORY)_Mobile	MODE(previous_app.NAME_GOODS_CATEGORY)_Office Appliances	MODE(previous_app.NAME_GOODS_CATEGORY)_Other	MODE(previous_app.NAME_GOODS_CATEGORY)_Photo / Cinema Equipment	MODE(previous_app.NAME_GOODS_CATEGORY)_Sport and Leisure	MODE(previous_app.NAME_GOODS_CATEGORY)_Tourism	MODE(previous_app.NAME_GOODS_CATEGORY)_Vehicles	MODE(previous_app.NAME_GOODS_CATEGORY)_Weapon	MODE(previous_app.NAME_GOODS_CATEGORY)_XNA	MODE(previous_app.NAME_CLIENT_TYPE)_New	MODE(previous_app.NAME_CLIENT_TYPE)_Refreshed	MODE(previous_app.NAME_CLIENT_TYPE)_Repeater	MODE(previous_app.NAME_CLIENT_TYPE)_XNA	MODE(previous_app.CODE_REJECT_REASON)_CLIENT	MODE(previous_app.CODE_REJECT_REASON)_HC	MODE(previous_app.CODE_REJECT_REASON)_LIMIT	MODE(previous_app.CODE_REJECT_REASON)_SCO	MODE(previous_app.CODE_REJECT_REASON)_SCOFR	MODE(previous_app.CODE_REJECT_REASON)_SYSTEM	MODE(previous_app.CODE_REJECT_REASON)_VERIF	MODE(previous_app.CODE_REJECT_REASON)_XAP	MODE(previous_app.CODE_REJECT_REASON)_XNA	MODE(credit.NAME_CONTRACT_STATUS)_Active	MODE(credit.NAME_CONTRACT_STATUS)_Completed	MODE(credit.NAME_CONTRACT_STATUS)_Signed	MODE(previous_app.NAME_SELLER_INDUSTRY)_Auto technology	MODE(previous_app.NAME_SELLER_INDUSTRY)_Clothing	MODE(previous_app.NAME_SELLER_INDUSTRY)_Connectivity	MODE(previous_app.NAME_SELLER_INDUSTRY)_Construction	MODE(previous_app.NAME_SELLER_INDUSTRY)_Consumer electronics	MODE(previous_app.NAME_SELLER_INDUSTRY)_Furniture	MODE(previous_app.NAME_SELLER_INDUSTRY)_Industry	MODE(previous_app.NAME_SELLER_INDUSTRY)_Jewelry	MODE(previous_app.NAME_SELLER_INDUSTRY)_MLM partners	MODE(previous_app.NAME_SELLER_INDUSTRY)_Tourism	MODE(previous_app.NAME_SELLER_INDUSTRY)_XNA	MODE(previous_app.NAME_PORTFOLIO)_Cards	MODE(previous_app.NAME_PORTFOLIO)_Cars	MODE(previous_app.NAME_PORTFOLIO)_Cash	MODE(previous_app.NAME_PORTFOLIO)_POS	MODE(previous_app.NAME_PORTFOLIO)_XNA	MODE(previous_app.FLAG_LAST_APPL_PER_CONTRACT)_N	MODE(previous_app.FLAG_LAST_APPL_PER_CONTRACT)_Y	MODE(previous_app.NAME_TYPE_SUITE)_Children	MODE(previous_app.NAME_TYPE_SUITE)_Family	MODE(previous_app.NAME_TYPE_SUITE)_Group of people	MODE(previous_app.NAME_TYPE_SUITE)_Other_A	MODE(previous_app.NAME_TYPE_SUITE)_Other_B	MODE(previous_app.NAME_TYPE_SUITE)_Spouse, partner	MODE(previous_app.NAME_TYPE_SUITE)_Unaccompanied	MODE(previous_app.NAME_PAYMENT_TYPE)_Cash through the bank	MODE(previous_app.NAME_PAYMENT_TYPE)_Cashless from the account of the employer	MODE(previous_app.NAME_PAYMENT_TYPE)_Non-cash from your account	MODE(previous_app.NAME_PAYMENT_TYPE)_XNA	MODE(previous_app.NAME_CONTRACT_STATUS)_Approved	MODE(previous_app.NAME_CONTRACT_STATUS)_Canceled	MODE(previous_app.NAME_CONTRACT_STATUS)_Refused	MODE(previous_app.NAME_CONTRACT_STATUS)_Unused offer	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_FRIDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_MONDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_SATURDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_SUNDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_THURSDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_TUESDAY	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)_WEDNESDAY	MODE(bureau.CREDIT_TYPE)_Another type of loan	MODE(bureau.CREDIT_TYPE)_Car loan	MODE(bureau.CREDIT_TYPE)_Consumer credit	MODE(bureau.CREDIT_TYPE)_Credit card	MODE(bureau.CREDIT_TYPE)_Loan for business development	MODE(bureau.CREDIT_TYPE)_Loan for the purchase of equipment	MODE(bureau.CREDIT_TYPE)_Loan for working capital replenishment	MODE(bureau.CREDIT_TYPE)_Microloan	MODE(bureau.CREDIT_TYPE)_Mortgage	MODE(bureau.CREDIT_TYPE)_Real estate loan	MODE(bureau.CREDIT_TYPE)_Unknown type of loan	MODE(bureau_balance.STATUS)_0	MODE(bureau_balance.STATUS)_1	MODE(bureau_balance.STATUS)_3	MODE(bureau_balance.STATUS)_5	MODE(bureau_balance.STATUS)_C	MODE(bureau_balance.STATUS)_X	MODE(cash.NAME_CONTRACT_STATUS)_Active	MODE(cash.NAME_CONTRACT_STATUS)_Approved	MODE(cash.NAME_CONTRACT_STATUS)_Completed	MODE(cash.NAME_CONTRACT_STATUS)_Demand	MODE(cash.NAME_CONTRACT_STATUS)_Returned to the store	MODE(cash.NAME_CONTRACT_STATUS)_Signed	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Building a house or an annex	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Business development	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Buying a garage	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Buying a holiday home / land	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Buying a home	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Buying a new car	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Buying a used car	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Car repairs	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Education	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Everyday expenses	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Furniture	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Gasification / water supply	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Hobby	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Journey	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Medicine	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Money for a third person	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Other	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Payments on other loans	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Purchase of electronic equipment	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Refusal to name the goal	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Repairs	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Urgent needs	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_Wedding / gift / holiday	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_XAP	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)_XNA	MODE(previous_app.NAME_YIELD_GROUP)_XNA	MODE(previous_app.NAME_YIELD_GROUP)_high	MODE(previous_app.NAME_YIELD_GROUP)_low_action	MODE(previous_app.NAME_YIELD_GROUP)_low_normal	MODE(previous_app.NAME_YIELD_GROUP)_middle	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Active	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Approved	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Completed	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Demand	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Returned to the store	MODE(previous_app.MODE(cash.NAME_CONTRACT_STATUS))_Signed	MODE(bureau.MODE(bureau_balance.STATUS))_0	MODE(bureau.MODE(bureau_balance.STATUS))_1	MODE(bureau.MODE(bureau_balance.STATUS))_2	MODE(bureau.MODE(bureau_balance.STATUS))_3	MODE(bureau.MODE(bureau_balance.STATUS))_5	MODE(bureau.MODE(bureau_balance.STATUS))_C	MODE(bureau.MODE(bureau_balance.STATUS))_X	MODE(previous_app.MODE(credit.NAME_CONTRACT_STATUS))_Active	MODE(previous_app.MODE(credit.NAME_CONTRACT_STATUS))_Completed	MODE(previous_app.MODE(credit.NAME_CONTRACT_STATUS))_Signed
Variable
SK_ID_CURR	1.000000	-0.001337	0.001187	0.002903	0.001551	0.001961	0.002804	0.002837	-0.002070	0.001548	0.000282	-0.000232	-0.001058	0.001988	0.000082	0.000222	-0.000724	0.003589	-0.002583	0.001890	0.001556	-0.001045	-0.001097	-0.000858	0.005017	-0.001411	0.000896	-0.003411	-0.001075	0.002121	-0.002193	-0.001463	-0.001500	-0.001077	0.004588	-0.001409	0.001366	-0.002895	0.004386	0.005900	-0.002879	-0.000815	-0.002844	-0.000384	0.000849	0.000509	-0.002694	-0.002012	-0.001423	0.002604	-0.001036	0.002753	-0.000973	-0.001138	0.002440	0.005245	-0.000343	0.003272	0.002081	0.002342	0.000350	0.003083	0.005777	0.001818	0.002815	0.000700	-0.000283	-0.000082	0.001920	-0.001582	0.001366	0.002205	-0.004139	0.005067	0.001809	0.003119	0.001505	0.001770	-0.002672	0.001450	-0.003020	-0.001129	-0.000415	0.000167	-0.001885	-0.002575	-0.001820	-0.001647	0.001025	0.001465	-0.002108	0.001699	0.002288	-0.000433	0.003042	0.004862	-0.001923	0.002156	0.000281	0.004851	0.001097	0.000067	0.002099	0.004659	0.000485	0.001073	0.003475	0.001573	0.003502	0.007869	-0.008184	-0.001139	0.001020	0.001365	0.001526	0.004132	0.001559	0.001721	-0.001686	0.002621	-0.002216	0.000679	0.007355	0.002480	0.003722	0.002214	0.000296	0.002396	0.004239	-0.000229	0.001902	0.001326	-0.001050	-0.004270	0.001688	-0.004383	-0.005316	0.001023	NaN	-0.000880	1.000000	0.004391	-0.001678	0.000155	0.002202	0.002004	-0.001797	-0.001070	-0.001626	1.000000	0.003620	0.001795	0.001353	-0.001794	-0.000813	0.003537	0.001881	0.037212	0.000990	1.000000	-0.002581	0.003215	-0.001339	-0.002284	0.000275	-0.000631	0.002074	-0.005771	-0.000065	0.001187	-0.001533	0.004223	0.002075	0.000922	-0.018222	0.000249	-0.000580	0.000085	-0.000086	-0.004876	0.000869	0.002031	-0.019562	0.002936	-0.000709	0.002138	0.004770	0.002565	0.005079	0.004421	0.003562	0.008846	-0.000165	-0.002435	0.001545	0.001570	0.004370	0.002539	0.002485	-0.002091	-0.000936	0.003218	1.000000	0.001859	-0.001223	0.002896	-0.001892	NaN	0.005488	0.006363	0.005928	-0.000783	0.001664	-0.003526	-0.000256	0.002045	0.002026	0.002696	0.001570	-0.002952	0.001157	-0.000931	-0.001710	0.002343	0.002872	-0.000792	0.003874	-0.000233	0.001586	-0.003487	-0.000612	0.001361	-0.007596	0.003018	0.004223	0.001086	0.001405	0.002040	0.000449	0.002949	0.002803	0.000927	0.003601	0.003532	0.001612	-0.000329	-0.001340	0.001751	0.001162	-0.000630	0.002994	0.004070	1.000000	0.334248	-0.002756	1.000000	0.001851	0.037166	0.002023	0.001824	-0.020677	0.003636	-0.003562	0.000636	0.002003	0.002960	-0.004342	0.002734	-0.003566	0.004728	-0.000162	0.000629	-0.000143	0.004401	0.003571	0.002413	0.004724	-0.000616	0.037275	-0.000775	0.001953	-0.001976	NaN	0.000495	0.001747	-0.004614	-0.001608	-0.001888	0.001689	0.001008	1.000000	-0.002043	-0.002052	0.001940	0.001559	0.000782	0.000093	0.001901	0.005210	0.003145	0.001204	0.001790	NaN	-0.001233	-0.002164	0.000971	-0.000273	0.001056	0.002037	-0.000538	-0.000944	-0.000982	0.002972	0.007107	0.009201	0.000460	0.003289	0.003531	0.002026	1.000000	-0.001575	1.000000	0.002647	0.003529	0.000590	0.000196	0.008838	-0.000466	0.002114	-0.002001	0.001071	0.001811	0.001374	-0.001938	0.001314	0.002715	0.003257	0.001781	0.003286	-0.000373	0.003182	-0.000070	0.002892	0.007248	0.001712	0.003745	0.000112	0.004053	0.342361	0.000327	-0.000696	0.003087	0.002514	-0.001444	0.001628	0.003583	0.001811	0.003493	0.002531	0.002058	-0.002734	0.004415	-0.002203	0.392265	0.004008	0.001330	0.004380	0.001293	0.004203	0.006793	0.000964	0.005474	NaN	0.002159	0.001416	0.004380	0.003019	0.001819	NaN	0.003611	-0.001810	1.000000	0.000477	0.003202	0.000996	0.000704	-0.000850	0.445258	0.459460	0.002638	0.003637	NaN	0.004594	-0.001020	0.341493	0.000929	0.002001	0.002924	0.002011	-0.000498	0.004026	0.000305	-0.000264	0.004388	1.000000	1.000000	-0.000816	0.001808	0.003054	0.002064	0.001836	-0.001114	-0.000183	-0.001326	-0.000677	0.001280	0.003553	-0.001036	0.004422	1.000000	NaN	0.001823	0.002323	0.002838	-0.001756	0.003363	0.001813	0.205724	0.003135	0.002642	0.001180	-0.000744	0.001957	0.003816	0.002747	-0.000011	0.007364	0.007380	0.003151	0.007881	0.005284	0.001906	0.002576	0.003771	-0.001192	0.003715	0.002064	0.004581	0.002130	0.001842	-0.000939	-0.005314	-0.000988	0.003122	0.002557	-0.000735	0.004349	0.002879	0.003630	0.001831	0.001823	1.000000	0.003012	-0.003168	-0.000303	0.001848	0.000842	-0.004803	0.004361	0.002074	0.001637	0.003629	0.000726	0.001914	-0.000798	0.001514	0.001919	-0.001871	0.000510	0.001875	0.000927	0.000883	0.000422	0.000957	0.000345	0.001127	-0.000534	1.000000	-0.003520	0.001843	0.001946	-0.002588	0.004181	0.004433	0.004462	-0.000222	0.000071	-0.001603	0.003518	-0.000891	...	-0.000059	0.001486	0.002128	0.000634	0.004028	0.004610	0.003815	0.001372	-0.004350	0.005490	-0.001467	-0.000620	0.005164	0.001502	0.004208	NaN	0.000849	-0.000273	0.000093	-0.001783	0.001816	0.000608	-0.001018	-0.000275	0.001963	0.001912	0.001251	1.000000	0.003905	-0.000730	0.000485	-0.000062	0.003244	-0.001297	0.009170	1.000000	0.001797	-0.004649	-0.000366	-0.001797	-0.001073	0.004773	0.001359	0.002802	0.002710	0.004841	0.001461	0.003984	-0.000782	0.526183	0.002052	1.000000	-0.001311	-0.000633	0.001335	0.006044	-0.002559	-0.001785	0.003590	0.577178	0.001056	0.000167	-0.000524	0.005033	1.000000	0.002155	0.006469	0.002926	0.004422	1.000000	1.000000	0.001819	0.002358	0.001461	0.001831	0.006151	0.000925	-0.001675	0.005531	0.001349	0.003607	0.001339	0.001829	0.003331	-0.001500	0.002600	0.001606	-0.003807	0.002865	-0.000989	0.002462	0.434853	0.004331	0.003967	0.003548	-0.001817	0.406759	0.002899	-0.000710	0.002750	0.004388	0.004513	0.003695	0.002299	0.004414	0.002655	0.000751	0.003005	0.000093	0.342426	-0.000795	-0.001813	0.002968	0.002683	-0.001037	0.002932	0.003024	0.434853	0.002506	-0.002234	0.445258	-0.003381	-0.001129	-0.004611	0.000634	0.001339	0.001876	0.001828	0.002226	0.003763	0.003599	0.002694	0.001132	0.004390	-0.001194	0.002813	0.003313	0.006307	0.002419	-0.000301	0.002667	-0.001602	0.003262	0.008838	0.001810	0.009139	0.002907	0.001906	0.001716	0.008815	0.001233	-0.001095	0.001687	-0.001955	-0.000273	0.001161	0.007407	-0.001347	0.004060	0.003240	1.000000	-0.000389	0.000833	-0.002537	1.000000	-0.004358	0.003313	0.004899	0.001547	0.002495	0.003836	0.000763	0.000188	-0.002828	0.001425	-0.001283	-0.002515	-0.000535	0.004854	0.000616	0.002330	-0.000045	0.000386	-0.001512	0.000303	0.000175	0.002060	-0.003013	0.002018	-0.001215	0.000331	-0.001259	-0.001807	-0.000229	0.000462	-0.000351	-0.004079	0.001744	0.002351	-0.000336	-0.000192	-0.000872	-0.002008	-0.001676	-0.000009	0.001172	-0.003488	0.001141	0.000143	0.000115	-0.001418	-0.002631	-0.003140	0.002820	-0.003127	-0.001047	-0.002770	-0.000435	0.002994	0.002342	-0.000148	0.000408	0.003103	-0.000891	-0.002568	-0.000669	0.002658	-0.000496	0.001368	-0.000154	0.000685	0.001771	0.001399	0.001950	-0.001551	-0.001953	-0.002610	0.002073	-0.000976	0.000072	-0.001396	0.002300	-0.001281	-0.000270	-0.001654	0.001654	-0.001901	-0.000888	-0.000104	0.002104	-0.000886	0.001446	0.001000	-0.001216	0.001216	-0.000703	0.000703	0.000749	-0.000728	-0.002721	-0.001737	0.002062	-0.001272	-0.000608	0.000467	-0.000142	0.001874	0.000920	-0.001044	-0.000690	0.001002	-0.002756	-0.000451	0.001364	0.003176	0.000653	-0.001850	0.001000	0.000285	-0.003959	0.001956	0.003415	-0.001124	0.000580	-0.001234	-0.000849	0.000292	0.000356	0.002849	-0.000131	0.000074	0.001034	-0.000495	0.002880	0.001758	-0.001154	0.000430	0.000590	-0.000892	0.000749	0.000510	0.002549	0.000345	-0.001874	-0.000549	0.000272	0.003522	0.000976	0.001254	0.001344	0.000553	-0.000945	0.000110	-0.004176	0.001320	-0.001775	0.000511	-0.001406	-0.001039	0.000333	0.000659	-0.000027	0.000186	0.000696	0.001703	0.000154	-0.000027	-0.002258	0.002216	-0.000532	0.001346	0.001082	-0.001132	-0.000430	0.001942	-0.001122	-0.001977	0.000837	0.000231	-0.001815	-0.001137	0.001807	-0.000098	0.001075	0.000565	-0.001646	0.000417	0.003455	-0.001184	0.001615	-0.000327	0.000070	0.000780	-0.000832	-0.000259	-0.000670	0.001242	0.000456	0.000040	-0.002957	-0.002562	0.001549	-0.001426	0.002722	-0.002864	-0.000620	0.003174	-0.001580	0.001726	-0.003867	0.000356	0.000944	-0.001365	-0.002420	0.001166	-0.004175	-0.001132	0.005201	-0.000483	-0.002895	6.254841e-04	0.001466	0.000909	-0.000805	0.001483	-0.001962	0.000949	-0.000135	0.002281	-0.000947	0.000079	-0.002346	-0.000115	0.001993	0.000715	-0.001417	-0.001020	0.000296	0.001745	-0.002253	-0.002141	0.000822	-0.000830	-0.000365	0.002371	-0.000198	-0.001207	-0.001029	0.001622	0.000921	0.000948	0.001367	-0.002076	0.000275	0.001529	0.001598	0.001475	-0.001068	0.003396	-0.001174	-0.000369	0.000304	0.001176	0.003724	0.001480	0.002113	-0.001065	0.000838	-0.000856	-0.001314	-0.000749	0.000332	-0.001994	-0.001309	0.000938	-0.001190	0.000442	0.001010	-0.000414	0.001183	-0.002528	-0.002080	-0.000715	0.000841	-0.001853	-0.002049	0.000513	-0.000805	0.001510	-0.000244	0.001433	-0.002056	-0.004109	0.001076	0.001698	-0.000601	0.000253	-0.002153	-0.002157	-0.000798	0.000065	-0.000578	-0.001423	0.000233	0.001845	0.002266	-0.003523	0.002701	-0.000347	0.000106	-0.000259	-0.000675	-0.001571	-0.001716	0.000190	-0.001796	-0.000157	-0.000045	0.001182	0.002193	-0.000010	-0.000898	0.000820	-0.002122	0.001526	0.001403	0.001954	-0.001378	-0.004109	0.000725	0.000571	0.000592	-0.001078	-0.001853	-0.002603	-0.000913	-0.000626	0.002259	-0.000788	0.000079
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DEF_60_CNT_SOCIAL_CIRCLE	0.001187	-0.014034	1.000000	-0.016693	-0.004751	-0.015337	0.000499	-0.020663	-0.012925	-0.002882	0.000393	-0.024506	-0.012114	-0.015995	-0.030508	-0.034096	-0.005927	-0.016732	-0.005477	-0.003390	-0.016118	-0.000705	-0.004850	0.002001	-0.021677	-0.011405	-0.007957	0.011762	0.017931	0.006216	-0.001822	-0.013601	0.001925	-0.003879	-0.027831	0.253499	-0.004882	-0.004749	-0.027447	-0.011486	-0.005737	-0.001320	-0.005560	0.004328	0.002404	-0.003316	0.000784	-0.002068	0.255570	-0.004175	-0.013268	-0.028435	0.004538	0.017076	-0.011023	-0.011035	-0.023767	-0.016435	-0.019895	-0.032340	-0.008738	-0.020710	-0.011632	0.013295	0.005182	0.002350	-0.007700	0.860517	-0.010107	0.001884	0.014211	-0.017688	-0.002494	-0.022332	-0.017802	-0.016439	-0.004668	-0.018071	-0.001461	-0.000663	0.000594	-0.001861	-0.007477	-0.003063	0.007557	0.000169	-0.013135	-0.012584	-0.000291	-0.002366	0.031276	-0.002376	-0.018520	-0.024001	-0.011551	-0.022768	0.001154	-0.017000	-0.002216	-0.027943	-0.017062	-0.003354	-0.002536	0.017190	-0.001462	0.000157	-0.005427	-0.007322	0.004092	-0.002558	-0.001324	-0.001033	0.005942	0.012841	0.000265	0.014925	-0.005455	0.007244	0.008230	0.014977	0.002636	0.002110	-0.005293	0.002595	0.005061	-0.001755	-0.015074	-0.002266	0.008704	-0.005496	0.015745	-0.013199	-0.005803	-0.009054	0.007748	-0.003050	0.002887	-0.009307	NaN	0.012613	0.001224	0.010755	0.001848	-0.005887	0.009491	-0.015225	0.001621	-0.002462	-0.005416	0.001224	-0.002239	0.008829	-0.001801	0.002931	-0.010948	0.004383	0.015584	0.008749	0.004732	0.000590	-0.002519	0.019301	0.000978	-0.005700	0.012859	-0.000435	-0.007025	-0.000766	-0.002662	0.012335	-0.001614	-0.002780	-0.000607	-0.001789	-0.005181	-0.016487	-0.005213	0.010803	-0.012795	-0.004084	-0.008914	0.008755	-0.005427	-0.012815	-0.000339	0.000159	0.002461	0.013236	0.010517	0.010681	0.004320	-0.003143	-0.007294	-0.000396	-0.000331	0.009115	-0.007031	-0.007192	0.005807	-0.002409	-0.002201	0.024285	0.000590	0.005688	0.006738	-0.004923	-0.004851	NaN	-0.005121	-0.005022	0.004405	0.007032	0.008274	-0.014356	-0.011300	0.018383	0.006327	0.002169	0.009115	-0.019194	0.012296	-0.002645	-0.013069	0.004463	0.009296	-0.013701	0.013899	-0.009994	0.008651	-0.001471	-0.006994	0.008974	-0.002189	-0.000090	-0.003736	0.008668	-0.011867	0.008999	-0.002285	0.016572	-0.001523	0.007957	-0.000069	-0.004238	0.007696	-0.016768	0.001362	-0.008912	0.008925	0.006168	-0.008661	-0.003163	0.000590	0.016484	0.001323	0.001383	-0.003983	0.006379	0.005899	0.008789	-0.005646	0.016936	-0.008699	0.001623	-0.004036	0.021851	0.003248	0.004084	-0.000588	-0.003766	-0.000475	-0.001396	0.002583	0.015573	-0.014142	0.010784	0.010323	0.001868	0.007616	0.002222	0.009142	-0.004108	NaN	-0.011994	-0.007222	0.002824	-0.006373	-0.004767	0.003586	0.013994	0.001383	-0.014715	-0.014727	0.009293	-0.001059	0.002424	0.001901	-0.014377	-0.002399	-0.008262	-0.007213	0.009486	NaN	-0.007932	-0.012817	-0.019214	0.005521	0.011810	0.007411	0.001081	-0.009771	-0.001113	-0.014681	-0.002370	0.004718	-0.001285	0.008865	0.005086	-0.000633	0.001383	-0.003563	0.001224	0.004116	0.004374	0.001487	-0.010731	0.004654	0.000849	-0.001813	0.006681	0.011324	0.008867	-0.006861	-0.019541	0.013272	0.016413	0.001015	0.010986	0.011605	0.001672	-0.001796	0.011316	0.018570	-0.005407	0.021143	0.008973	0.002002	-0.002826	0.007966	-0.010598	-0.004854	-0.011886	-0.002083	-0.013930	0.007707	0.002733	0.008866	0.018370	-0.000012	-0.002448	0.002173	0.014238	0.005473	0.014772	0.020640	0.008866	0.010753	0.015589	-0.007260	0.011503	-0.003101	-0.000761	NaN	0.009329	0.008985	0.010755	0.012316	0.009150	NaN	-0.000478	0.009009	0.000590	-0.001524	-0.000120	0.008662	-0.012092	-0.001810	0.014707	-0.003484	0.004134	0.020980	NaN	0.007301	-0.009638	0.007812	0.004260	0.001674	-0.004753	-0.000819	-0.001226	0.010207	-0.008188	-0.000794	0.010853	0.001383	0.001383	0.002377	0.008877	-0.000176	0.009172	0.006963	-0.007453	-0.001360	-0.009368	0.008829	0.011970	0.004088	0.001441	0.010913	0.001224	NaN	0.008914	0.011062	-0.014728	-0.013036	-0.005345	0.008984	0.005611	0.011979	0.008358	-0.002792	-0.006810	-0.014364	0.018583	0.005551	-0.000505	-0.005554	-0.005491	0.017112	-0.002627	-0.005336	-0.001376	0.009380	0.005044	-0.005217	0.008935	0.009172	-0.007397	0.007082	0.006979	0.005868	0.002892	0.004320	0.004170	0.014553	-0.002242	0.010784	-0.005079	-0.000928	0.008839	0.008915	0.001224	0.009435	-0.001381	-0.000734	0.006939	0.001041	-0.004124	-0.002719	-0.004057	-0.001902	0.004355	0.001134	-0.004105	0.002725	0.001391	0.002710	0.002858	-0.011996	0.013227	0.006505	0.008292	0.017094	-0.002279	0.002620	-0.007555	-0.002281	0.001383	-0.014396	0.008761	-0.008885	-0.001385	-0.003757	0.010913	0.010840	0.001387	0.000908	-0.003386	-0.014240	0.002792	...	-0.001223	0.005489	0.000785	-0.000519	0.008041	-0.007080	0.005021	0.007396	0.003257	-0.000809	0.007828	0.008749	-0.002391	-0.006980	-0.002805	NaN	-0.007358	0.005521	0.001901	-0.003049	0.008800	-0.012054	-0.009840	0.002324	0.010155	0.009053	0.008311	0.001224	-0.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LIVE_REGION_NOT_WORK_REGION	0.002903	0.096447	-0.016693	1.000000	0.012031	0.017831	0.000371	0.053927	0.000965	-0.006717	-0.001969	0.052864	0.028017	0.018141	-0.031389	-0.029603	0.004296	0.022858	-0.007299	0.012579	0.018094	-0.000525	0.013363	0.021361	0.032217	0.000352	0.016093	-0.011083	-0.146561	-0.059148	-0.000993	0.029340	0.069567	0.013780	0.044412	-0.023147	0.011994	0.011850	0.043833	0.017097	-0.007229	-0.000982	-0.006761	0.033938	0.081016	0.004282	0.000715	0.007409	-0.023243	0.003730	0.029445	0.005561	0.027560	-0.140771	0.015035	0.017023	0.052609	0.024200	0.054113	0.030049	0.060920	0.054003	0.016911	-0.028980	-0.002923	0.001194	0.088263	-0.016967	0.014750	0.185863	-0.095539	0.023655	-0.001856	0.032567	0.060136	0.024000	0.015143	0.023489	-0.000996	-0.001345	0.006677	0.014835	0.041513	0.003078	0.021076	0.006018	0.058059	0.000699	-0.005655	-0.006780	0.002819	-0.006729	0.027376	0.074550	0.015312	0.032592	0.007067	0.022343	0.026540	0.044362	0.860627	0.236635	-0.001486	-0.017429	0.010246	-0.000251	0.028175	0.003252	0.031703	0.003064	0.000473	-0.006203	0.025175	-0.024674	-0.025203	0.001147	0.016744	0.012261	0.032803	-0.024983	-0.000226	-0.001541	-0.000603	-0.001832	0.031445	0.013015	0.044609	0.028897	0.000648	0.013347	-0.030914	0.053853	0.043471	-0.006115	-0.007019	0.002519	-0.001558	0.022401	NaN	0.024886	0.003411	0.021920	0.000442	-0.006255	0.001419	0.021165	0.001555	0.010812	0.024323	0.003411	0.032205	0.026843	0.008431	0.019669	0.016812	0.031556	-0.033833	-0.013117	0.023192	0.003972	-0.001535	-0.037061	0.009242	-0.012728	0.012925	0.007739	0.032877	0.000907	-0.007777	-0.029879	0.001556	0.065184	0.012067	0.005607	-0.003719	0.021733	0.024239	-0.023230	0.023809	0.007368	0.025358	-0.006921	-0.002159	0.080514	0.007667	0.001207	0.006888	0.022373	-0.009064	0.022100	0.031554	0.002576	-0.002821	-0.001129	-0.005530	0.004937	0.008802	0.004183	-0.008510	-0.002455	-0.004399	-0.025676	0.003972	0.001226	0.028367	-0.004296	0.024242	NaN	0.002917	0.015402	0.015536	0.032934	0.023462	0.036594	0.017533	-0.003830	0.003004	0.008335	0.004937	0.023951	-0.029860	0.010563	0.027487	0.002540	-0.002142	0.022123	0.002438	0.022365	0.000072	0.002031	0.043657	0.005003	0.004731	0.001045	0.035255	0.022632	0.051831	-0.006714	0.017236	-0.000131	0.007170	-0.001905	0.000907	0.010741	0.000306	0.025146	0.008342	0.030618	-0.009686	0.008156	0.011127	0.007962	0.003972	-0.015367	-0.001222	0.003186	0.005614	-0.011835	0.001223	0.026920	-0.000370	0.011724	-0.006185	0.013017	0.027132	-0.022903	-0.001500	0.034261	0.000986	0.018234	0.006471	0.014319	0.010273	-0.025867	0.015063	0.003163	0.020053	0.011114	-0.012533	0.000972	0.020505	0.024759	NaN	0.027104	0.003087	-0.001910	0.015234	0.024148	-0.004956	0.022551	0.003186	0.019549	0.019582	-0.022640	-0.003226	-0.000716	-0.001830	0.023617	0.003524	0.005008	0.024924	-0.025089	NaN	0.047396	0.030934	0.074291	-0.001943	-0.002761	0.006751	-0.007808	0.028925	-0.006471	0.020897	0.018046	0.013523	0.006146	0.027953	-0.000562	-0.002819	0.003186	0.002353	0.003411	0.021214	0.031557	0.013133	0.020288	-0.006221	0.005095	0.012714	-0.010534	-0.025534	0.026867	0.016629	0.037593	-0.025972	-0.032648	-0.003785	0.024212	-0.023235	0.005541	0.001767	-0.021591	0.002134	0.002350	-0.025216	0.012708	0.018526	0.031864	-0.002059	0.020574	0.017390	0.040897	0.002161	0.011201	0.000290	-0.003485	0.026868	-0.003807	0.001127	-0.000933	0.000031	0.004951	-0.012245	-0.028282	-0.021759	-0.023288	0.021884	-0.033689	0.001754	0.006076	0.002369	0.012385	NaN	-0.003291	0.005005	0.021883	-0.002698	0.004784	NaN	0.014523	0.008837	0.003972	0.017184	0.002705	-0.008363	0.026923	-0.000104	-0.022240	0.006754	0.021281	-0.014282	NaN	-0.011523	0.010230	-0.001939	0.003995	0.014052	-0.004322	-0.001775	0.010740	0.007981	0.010574	-0.008482	0.022019	0.003186	0.003186	0.000784	0.026773	-0.001999	0.004624	0.012702	0.003176	0.009729	0.030981	0.025805	-0.030774	0.031848	0.012470	0.022080	0.003411	NaN	0.026799	-0.026810	0.020926	0.027527	0.028078	0.026647	0.001949	-0.003856	0.007014	0.003399	0.000285	0.024070	-0.019113	0.014176	-0.001606	0.001923	-0.000572	-0.041978	0.003112	0.002967	-0.000567	-0.034524	0.031591	0.017582	0.012890	0.004624	0.001491	0.010656	0.012718	0.008090	-0.001524	0.013912	0.034629	-0.026748	-0.004428	0.021941	-0.004290	0.000499	0.026929	0.026798	0.003411	0.002926	0.001816	-0.000537	0.012746	-0.001265	0.007265	0.032149	0.026947	0.013283	0.031812	-0.000940	0.026523	0.001976	-0.000994	-0.007119	0.019646	0.027125	0.004776	0.005952	-0.007145	-0.036901	0.002283	0.001495	0.002860	-0.004454	0.003186	0.036541	0.026982	0.030731	0.015992	0.035353	0.022119	0.022297	0.012849	-0.000755	0.022073	0.014661	0.001932	...	0.001714	-0.017438	-0.004980	-0.000380	0.003398	0.008433	0.031708	-0.007799	-0.001490	0.012221	0.008470	0.012181	0.003531	0.026315	0.032061	NaN	-0.011111	-0.001943	-0.001830	0.023278	0.026905	0.027047	0.029056	0.009461	0.018020	0.004692	-0.021896	0.003411	0.032503	0.011902	-0.002567	-0.000526	0.016878	0.011473	0.013518	0.003186	0.026620	-0.001889	0.011978	0.026651	-0.000740	0.018731	0.002689	0.021089	0.021498	0.018313	0.002655	0.001253	0.008126	-0.017788	0.009274	0.003411	0.017505	0.018941	0.002108	0.015834	-0.000680	0.027438	0.031698	-0.007015	-0.002769	0.005794	0.019002	0.003544	0.003186	-0.029360	0.015787	-0.002156	0.022081	0.003972	0.003972	0.000006	0.015361	0.002655	0.026930	0.016106	-0.001662	-0.002539	0.012518	0.003060	-0.025676	0.002709	0.026698	0.000221	0.025851	0.007064	0.004850	0.004206	-0.002102	0.024632	-0.025546	-0.024438	0.008886	0.001123	0.014873	0.026659	0.004492	0.000800	0.000183	0.001813	0.022020	0.005220	0.012988	0.004097	0.002259	-0.001919	-0.037162	0.027717	-0.001830	-0.002053	0.000878	0.027320	-0.004353	0.014225	0.017818	0.034473	0.000899	-0.024438	0.029159	-0.000890	-0.022240	0.001932	0.003231	-0.001912	-0.000380	0.013579	-0.001845	0.003510	0.027264	0.032409	0.031964	0.014219	-0.038518	0.022159	0.008342	-0.001994	0.005806	0.015456	-0.000443	-0.000534	0.014308	0.003267	-0.003793	-0.006221	-0.001025	0.013512	0.004713	0.014082	0.030669	0.002611	-0.022010	0.024589	-0.000191	0.019612	-0.001943	0.028954	-0.000632	0.022510	0.001200	0.007127	0.003186	0.012102	-0.000347	0.026522	0.003411	-0.001481	0.011160	0.003554	-0.003247	-0.034323	0.002401	0.005098	-0.012172	0.005689	0.035128	0.005511	0.069138	0.002509	0.060893	-0.000192	-0.001966	-0.000297	-0.006923	0.003155	-0.011011	0.004471	0.003121	-0.003517	0.009035	-0.003039	-0.001546	-0.006779	0.000414	-0.001626	-0.001341	-0.004591	0.000045	0.045572	-0.000102	-0.023462	0.004498	-0.014954	0.010882	-0.001482	0.011535	0.005270	-0.006649	0.000413	-0.002433	-0.000351	-0.023638	0.100195	-0.003559	-0.046853	-0.007621	-0.000936	-0.001053	0.012555	0.007928	0.013010	0.002619	0.005219	-0.009867	0.003754	0.018619	-0.005911	0.021130	0.005538	-0.096477	-0.001174	0.069502	0.003253	-0.096464	-0.006199	0.000577	-0.001741	0.018565	-0.011105	-0.000641	0.024027	0.006343	-0.009988	0.003621	-0.009310	-0.007941	0.007941	-0.000208	0.001732	-0.003860	0.005538	0.000002	0.001839	-0.003453	-0.046352	0.046352	0.018324	-0.018324	-0.106073	0.106080	-0.000742	-0.001404	-0.011220	-0.000569	-0.011064	0.031745	-0.000728	0.016162	0.005424	0.043175	-0.004826	0.003567	-0.003017	-0.002640	-0.003514	-0.019667	-0.004828	0.075646	0.004036	0.000189	0.000011	0.003033	0.017599	0.005931	-0.031732	-0.005915	-0.000557	-0.003340	0.002731	0.001313	0.002592	-0.000115	-0.000476	0.030124	0.012748	-0.007906	-0.031594	-0.003816	-0.004728	0.002512	-0.000013	-0.007452	-0.003543	0.002289	-0.015283	0.010582	0.000824	0.014168	0.004043	-0.006399	-0.004479	-0.000862	0.021590	-0.025511	0.002910	-0.003561	0.007665	-0.012265	-0.006873	0.004114	-0.000371	-0.016954	0.007607	0.004291	-0.000742	0.008619	0.000199	-0.012938	-0.002537	0.000220	0.004741	0.004409	-0.015837	-0.012775	-0.000707	-0.004906	-0.009823	0.001503	0.019967	0.011673	-0.002651	-0.003043	-0.002225	0.007173	0.001059	0.008825	0.026630	-0.023673	-0.008956	-0.016189	-0.000807	-0.000768	-0.000061	-0.006613	0.025211	-0.010347	-0.010820	-0.002846	0.004992	0.004166	-0.000530	-0.000346	-0.005120	0.003253	-0.004429	-0.005524	0.001413	0.013325	0.004888	-0.002609	0.004860	-0.000570	-0.003501	0.003220	0.001713	-0.018859	0.013111	0.002221	-0.020906	-0.002535	0.008789	-3.468627e-08	0.003484	0.001188	0.005957	-0.000543	0.002751	-0.016822	-0.000653	-0.000697	-0.002619	0.002101	0.000346	-0.005797	0.020976	-0.011796	-0.001375	-0.001289	0.000051	-0.004864	-0.002173	-0.000604	-0.018383	0.008153	0.007783	-0.015532	0.004090	-0.004523	-0.001215	-0.016479	-0.017508	-0.012552	0.001378	0.004901	0.001699	-0.000982	-0.006125	-0.004187	-0.000052	-0.003689	-0.004288	-0.010574	-0.002206	0.002558	0.002261	0.000018	-0.000408	-0.000445	-0.000314	-0.006131	-0.003327	-0.001162	0.006044	0.027076	-0.030114	0.025475	-0.001177	-0.000525	-0.001339	-0.001954	0.004253	-0.000371	-0.000982	0.002986	0.003632	-0.000371	-0.001508	-0.002397	0.006584	-0.017482	-0.000742	-0.002508	-0.000427	-0.001485	-0.000639	-0.002061	-0.002228	0.000920	0.001596	0.002151	-0.000023	-0.002070	0.001721	0.000552	0.000012	-0.002178	-0.000951	-0.000643	0.003456	-0.003122	-0.000643	0.003297	-0.001892	0.003729	-0.000371	0.001620	-0.001447	-0.000060	0.010022	-0.020639	-0.000821	0.006885	-0.003408	-0.012542	-0.002870	-0.017837	-0.000643	-0.001539	0.000381	-0.001485	-0.000337	0.002041	0.004837	-0.000371	-0.000371	0.002937	-0.002009	0.006666	-0.000730	-0.002376	0.002101
YEARS_BEGINEXPLUATATION_AVG	0.001551	-0.008672	-0.004751	0.012031	1.000000	0.100665	-0.000649	0.166756	0.085950	0.070008	-0.000052	0.007245	0.086286	0.100132	0.002120	-0.000406	-0.000992	0.141269	0.041334	0.971893	0.100098	0.000266	-0.005136	0.002515	0.079578	0.080754	0.001248	-0.004266	0.004485	0.006116	-0.001838	0.091483	0.000744	0.000828	0.127273	-0.000565	0.993825	0.007569	0.127086	0.483564	0.042075	0.000210	0.037566	-0.003416	-0.006683	0.003945	0.000974	-0.004226	-0.000626	-0.001917	0.091667	0.010993	0.011035	-0.000744	0.008453	0.477991	0.006249	0.146503	0.162940	0.009066	-0.010303	0.167152	0.482951	0.000418	0.001391	0.000556	0.001129	-0.005107	0.008627	-0.016629	0.008629	0.092175	-0.000007	0.078995	0.003988	0.146120	0.003380	0.092736	0.000628	0.001532	0.034079	0.006902	-0.002611	0.000936	-0.013514	0.034979	0.005658	0.085256	0.001891	0.073917	-0.009728	0.074067	0.100319	0.013298	0.009666	0.078921	0.031484	0.089123	0.003500	0.127573	0.010520	-0.008736	0.003530	-0.008315	-0.000557	0.000939	0.006280	-0.003323	0.009423	0.002105	0.004827	-0.005925	-0.004982	-0.003964	0.007054	0.002941	0.004041	0.002425	-0.004015	-0.009289	0.000189	0.000126	-0.000033	0.002501	0.009018	-0.001322	0.011991	0.005544	0.001324	0.000458	-0.005996	0.009932	0.006397	0.006292	0.002230	0.000643	-0.009283	0.006037	NaN	-0.001287	0.001001	0.010177	-0.007757	0.000836	-0.002727	0.002553	-0.011707	0.001106	0.009827	0.001001	0.011663	0.010339	0.002430	-0.004965	0.005569	0.009341	-0.009994	0.014507	-0.001013	0.004484	-0.003415	-0.009750	0.006155	0.004152	-0.001615	0.000567	0.004323	0.003468	0.000216	-0.007033	0.005996	-0.012455	-0.002953	-0.001071	-0.002016	0.001629	-0.000101	-0.003350	0.011857	-0.002463	0.008041	0.000598	-0.000036	-0.009867	0.000655	0.000253	-0.002585	-0.003400	-0.000359	0.010293	0.009244	0.003745	0.011249	-0.016103	0.004085	0.007999	0.006027	-0.003210	-0.000334	0.002031	0.001904	-0.009132	0.004484	-0.009489	-0.004812	0.000321	0.009373	NaN	0.005411	0.008985	0.007918	-0.005610	-0.005396	0.021186	0.004878	0.000510	0.000679	-0.003932	0.007999	0.010701	-0.006981	0.001606	0.007368	0.000905	0.001953	0.012750	0.007661	0.007213	-0.004135	-0.005375	0.011068	0.007997	0.004670	0.000053	0.012749	0.001026	0.005606	0.000519	0.001964	-0.002572	0.006073	-0.005124	0.000920	0.010755	-0.002555	0.011606	-0.000410	0.014506	0.001796	-0.003946	0.000764	0.001374	0.004484	-0.006614	0.004987	0.001080	0.001271	0.015856	-0.009609	0.010468	0.001932	-0.002710	0.005346	0.006036	0.008863	-0.008775	-0.009977	0.005948	-0.001215	0.010126	0.000998	0.002466	-0.006157	-0.006795	0.011077	-0.001212	0.009930	0.007700	0.015214	0.007274	-0.003727	0.009735	NaN	0.014867	-0.003425	-0.008975	0.001345	0.009559	0.000063	-0.003694	0.001080	0.008599	0.008595	-0.004503	-0.000776	0.000243	0.000827	0.005115	0.000704	-0.000298	0.005493	-0.005458	NaN	0.011119	0.010931	-0.006634	0.000896	0.006888	-0.000105	0.006773	0.005223	-0.005861	0.009432	0.008645	0.005798	0.000360	0.010559	-0.002924	-0.000680	0.001080	0.007175	0.001001	0.003545	0.009337	0.005930	0.007121	-0.001707	-0.008320	-0.001254	0.003092	-0.003720	0.010389	0.004556	0.015611	-0.007062	-0.005724	0.000359	-0.005320	-0.003649	-0.007017	-0.000654	-0.003759	-0.002954	0.003983	-0.010537	0.000219	-0.001626	0.011195	0.003263	0.006501	0.001161	0.009532	-0.000526	0.005493	-0.002545	0.001802	0.010389	-0.010802	0.000104	0.001947	0.005936	0.007095	0.002988	-0.007241	-0.008556	-0.002808	0.010186	-0.008505	0.003272	0.004022	0.003413	0.004957	NaN	-0.002284	0.008161	0.010187	-0.004132	0.008024	NaN	0.000927	0.001562	0.004484	0.005515	0.001084	0.002183	0.014562	0.001492	-0.004068	0.002051	0.003511	-0.006238	NaN	-0.003770	0.005717	0.003359	-0.005259	-0.001482	0.000330	-0.000289	-0.006568	-0.000097	0.007430	-0.001520	0.010169	0.001080	0.001080	0.006784	0.010365	0.000421	0.008035	0.000593	0.004512	-0.006675	0.008800	-0.005402	-0.006033	0.009422	0.007815	0.010162	0.001001	NaN	0.010414	-0.007353	0.009393	0.007357	0.006220	0.010452	-0.007491	-0.004969	-0.005570	0.001338	0.005055	0.004908	-0.007682	-0.001100	0.000548	0.004034	-0.000039	-0.009074	0.002095	0.005408	0.001433	-0.002089	0.009086	0.003920	0.000221	0.008035	0.003303	-0.005777	0.000623	-0.003845	-0.009285	0.002248	0.005837	-0.004288	0.001918	0.010169	0.000322	-0.000721	0.010368	0.010415	0.001001	-0.001475	-0.005283	0.000482	0.000671	0.000085	-0.002411	0.011217	0.008822	0.003951	0.009334	0.000170	0.008784	0.001673	0.001183	-0.001968	-0.004893	0.014869	-0.000979	0.000429	0.002293	-0.005680	0.001456	0.002014	-0.003664	0.001928	0.001080	0.021246	0.010447	0.014584	0.008472	0.012792	0.010153	0.010270	0.001920	0.000325	0.008923	0.011168	0.001650	...	0.002851	-0.003819	-0.001169	0.000482	-0.002880	0.004763	0.009145	0.001655	-0.009977	0.004534	0.000760	0.000752	0.000704	0.006511	0.011241	NaN	0.001645	0.000896	0.000827	0.008465	0.010318	0.014731	0.005208	0.006591	-0.004388	0.008208	-0.004090	0.001001	0.011698	0.007012	0.007689	0.000482	0.001158	-0.004943	0.005798	0.001080	0.010403	-0.008975	0.006576	0.008250	0.005310	0.010006	0.002578	0.009314	0.003574	0.010209	0.002614	0.002957	-0.003897	-0.007336	-0.004952	0.001001	0.003666	0.005721	0.003448	0.008292	-0.006047	0.007272	0.009344	-0.003168	0.006885	-0.003880	0.006355	0.000706	0.001080	-0.004998	0.009747	0.001948	0.010161	0.004484	0.004484	-0.001190	-0.002575	0.002614	0.010367	0.008652	0.000475	0.002083	0.005048	-0.003500	-0.009500	-0.003706	0.010531	-0.004483	0.007745	0.000078	0.008027	0.003761	0.001957	0.006974	0.001373	-0.003389	0.006146	0.001428	0.011130	0.008251	-0.002133	-0.000304	0.005226	-0.001171	0.010168	0.007209	0.000261	-0.003456	0.000630	0.002517	-0.006948	0.006183	0.000827	0.003283	0.007032	0.007178	0.000338	-0.000958	-0.003394	0.005898	-0.004196	-0.003389	0.005510	-0.005720	-0.004068	-0.005334	0.004538	-0.008975	0.000482	-0.000177	-0.000197	0.002250	0.008821	0.011715	0.009414	-0.001008	-0.007435	0.010276	0.002790	0.002530	-0.000379	0.008956	0.001415	0.000479	-0.000899	0.005360	0.000261	-0.001707	-0.000646	0.005798	0.001800	-0.001459	0.014482	0.003729	-0.004152	0.007038	0.001202	-0.004817	0.000896	0.006548	-0.000018	0.005968	0.002949	0.001224	0.001080	0.006443	-0.004974	0.011319	0.001001	-0.009978	0.011757	0.000708	-0.000769	-0.002233	0.007608	0.001626	-0.008013	0.003358	-0.001896	0.001264	-0.003347	0.000984	-0.000667	-0.001403	-0.002500	-0.001675	-0.000078	-0.007208	-0.000767	-0.001572	-0.004418	-0.002511	-0.000449	0.000737	-0.001396	-0.001754	0.002282	0.002301	0.000819	0.000829	0.000577	0.008625	-0.001383	0.002285	0.001757	0.004232	0.008583	-0.001320	-0.001722	0.002949	0.000285	0.002693	0.000379	-0.003073	-0.002550	-0.006251	0.001911	-0.002337	-0.001736	0.003451	0.001252	0.004060	-0.006545	0.000754	0.001194	-0.001145	0.000802	-0.001904	0.000239	0.000718	-0.012080	0.001558	0.008665	0.000968	0.006830	0.000175	0.008573	0.009633	0.000599	0.000619	-0.017430	0.003755	0.003797	0.027236	0.001885	0.079856	0.001775	-0.040894	0.001050	-0.001050	-0.003583	0.000166	0.004485	-0.002301	0.000109	0.001595	-0.000741	-0.007138	0.007138	0.001311	-0.001311	-0.001115	0.001112	0.000275	0.007333	-0.002874	-0.005707	0.006165	0.001311	0.004227	-0.007439	0.000541	-0.007052	-0.003174	0.006374	-0.000012	0.000679	0.002376	-0.004562	0.001827	-0.011372	-0.000356	-0.006301	0.007951	-0.005944	-0.000843	0.000820	-0.000582	-0.000095	0.004892	0.000266	-0.003121	-0.000290	0.001184	-0.004518	-0.002333	0.013280	0.000491	-0.004326	-0.011969	0.004817	0.021587	0.056082	0.025217	0.018404	-0.018404	-0.006330	0.003160	-0.002608	-0.003004	-0.002626	0.002514	0.007958	-0.000715	-0.010259	0.000710	0.003290	0.000927	0.003085	-0.003139	-0.004305	0.005792	0.001789	NaN	-0.007023	0.005637	-0.000492	0.000458	-0.003903	-0.003276	-0.001540	-0.010274	-0.003402	0.000498	-0.000319	0.003089	0.000319	0.001547	0.006316	0.006368	0.002909	-0.000698	0.001117	-0.004157	0.002174	0.000730	0.001464	0.002975	0.001429	0.000083	-0.006561	0.004005	0.003196	0.000833	0.001045	0.003901	0.005427	0.003543	0.002641	0.001457	0.001340	0.000139	0.002066	0.005382	0.002227	0.001312	0.000516	0.003210	-0.001475	-0.001204	-0.000199	-0.002189	-0.002061	-0.000806	0.001065	-0.004132	-0.001662	0.000143	-0.009374	0.006057	0.001506	-0.007834	0.000720	0.001136	-7.378661e-04	-0.001332	-0.001810	0.000226	-0.000048	0.002375	-0.001241	-0.000017	-0.008810	-0.003364	-0.005442	0.001980	0.006146	-0.001430	0.003326	0.002747	0.005374	-0.002374	0.001545	0.001812	0.001704	-0.007599	-0.001986	0.001420	-0.004769	0.005399	-0.002925	-0.003276	-0.002561	-0.004057	0.002694	0.002937	0.004945	0.001244	-0.001941	-0.005933	-0.005134	0.001204	0.000307	0.003848	-0.000442	-0.002422	-0.000445	0.002938	0.000818	0.001198	-0.003534	0.004113	-0.005047	0.002632	-0.001973	0.001870	-0.005155	0.005210	0.001448	-0.007688	NaN	0.000811	-0.002270	0.001461	NaN	0.000374	0.004187	-0.004566	0.000649	-0.004172	0.004601	0.001673	-0.002515	0.000580	-0.000685	0.000368	0.000158	0.000940	-0.003489	0.000503	0.000736	0.001356	0.001114	-0.008881	0.001530	0.001224	0.001258	-0.004973	0.001460	0.000811	NaN	0.001845	0.002408	-0.000065	-0.000212	-0.006091	0.001241	NaN	-0.001679	0.000793	0.001863	0.003956	-0.005393	-0.003175	-0.005885	0.006229	0.007052	-0.001776	-0.002679	0.000428	0.001276	-0.000055	0.000158	0.001183	0.002253	0.001375	NaN	0.000649	0.000830	0.006302	0.001248	-0.008792	-0.003537	-0.005442

5 rows × 1172 columns

Correlations with the Target

correlations_target = correlations.sort_values("TARGET")["TARGET"]
correlations_target.head()

Variable
EXT_SOURCE_3                           -0.178919
EXT_SOURCE_2                           -0.160472
EXT_SOURCE_1                           -0.155317
MODE(bureau.CREDIT_ACTIVE)_Closed      -0.070201
NAME_EDUCATION_TYPE_Higher education   -0.056593
Name: TARGET, dtype: float64

correlations_target.dropna().tail()

Variable
MIN(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))     0.102765
MEAN(credit.CNT_DRAWINGS_ATM_CURRENT)                       0.102774
MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))    0.102917
MAX(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))     0.102996
TARGET                                                      1.000000
Name: TARGET, dtype: float64

featuretools에 의해 생성된 여러 features는 TARGET과 가장 상관관계가 높습니다(절대 크기 측면에서). 그러나 이것이 반드시 중요하다는 것을 의미하지는 않습니다.

Visualize Distribution of Correlated Variables

resulting features와 target과의 관계를 볼 수 있는 한 가지 방법은 kernel density estimate plot을 사용하는 것입니다. 이것은 단일 변수의 분포를 나타내며 스무스한 히스토그램으로 생각할 수 있습니다. 범주형 변수가 숫자 변수의 분포에 미치는 영향을 보여주기 위해 범주형 변수의 값으로 plot을 색칠할 수 있습니다. 아래 plot에서 target 값으로 색상이 지정된 새로 생성된 두 features의 분포를 보여줍니다.

# deep feature synthesis의 깊이를 2로 설정한 데이터 프레임
features_sample = pd.read_csv("./home_credit/feature_matrix.csv", nrows=20000)
features_sample = features_sample[features_sample["set"] == "train"]
features_sample.head()

	SK_ID_CURR	NAME_TYPE_SUITE	EXT_SOURCE_2	OCCUPATION_TYPE	FLAG_PHONE	AMT_INCOME_TOTAL	AMT_CREDIT	REGION_RATING_CLIENT	CNT_FAM_MEMBERS	DAYS_BIRTH	COMMONAREA_AVG	FLAG_WORK_PHONE	HOUSETYPE_MODE	ELEVATORS_AVG	LIVINGAPARTMENTS_MODE	set	FLOORSMAX_MODE	AMT_REQ_CREDIT_BUREAU_QRT	COMMONAREA_MEDI	ORGANIZATION_TYPE	FLAG_OWN_REALTY	DAYS_REGISTRATION	DAYS_ID_PUBLISH	LANDAREA_MODE	NONLIVINGAPARTMENTS_MEDI	REGION_POPULATION_RELATIVE	LIVINGAREA_MEDI	FLOORSMIN_MODE	ELEVATORS_MEDI	NAME_INCOME_TYPE	AMT_REQ_CREDIT_BUREAU_YEAR	FLAG_EMP_PHONE	LIVINGAPARTMENTS_MEDI	DEF_30_CNT_SOCIAL_CIRCLE	EXT_SOURCE_3	FLAG_DOCUMENT_8	FLAG_OWN_CAR	LANDAREA_MEDI	FONDKAPREMONT_MODE	TOTALAREA_MODE	NAME_CONTRACT_TYPE	DEF_60_CNT_SOCIAL_CIRCLE	AMT_REQ_CREDIT_BUREAU_MON	AMT_REQ_CREDIT_BUREAU_HOUR	NAME_FAMILY_STATUS	ENTRANCES_MEDI	BASEMENTAREA_AVG	DAYS_LAST_PHONE_CHANGE	CODE_GENDER	YEARS_BUILD_MEDI	AMT_REQ_CREDIT_BUREAU_WEEK	LIVE_CITY_NOT_WORK_CITY	ELEVATORS_MODE	FLOORSMIN_AVG	HOUR_APPR_PROCESS_START	YEARS_BUILD_AVG	FLAG_CONT_MOBILE	NONLIVINGAPARTMENTS_AVG	APARTMENTS_MEDI	BASEMENTAREA_MODE	LIVINGAPARTMENTS_AVG	EXT_SOURCE_1	YEARS_BUILD_MODE	ENTRANCES_AVG	NONLIVINGAPARTMENTS_MODE	NONLIVINGAREA_MODE	AMT_REQ_CREDIT_BUREAU_DAY	FLOORSMIN_MEDI	BASEMENTAREA_MEDI	WEEKDAY_APPR_PROCESS_START	FLAG_DOCUMENT_3	OBS_60_CNT_SOCIAL_CIRCLE	YEARS_BEGINEXPLUATATION_MEDI	NAME_HOUSING_TYPE	LIVINGAREA_AVG	AMT_GOODS_PRICE	REG_CITY_NOT_WORK_CITY	FLAG_MOBIL	DAYS_EMPLOYED	LIVINGAREA_MODE	NONLIVINGAREA_MEDI	LANDAREA_AVG	EMERGENCYSTATE_MODE	OBS_30_CNT_SOCIAL_CIRCLE	YEARS_BEGINEXPLUATATION_AVG	NONLIVINGAREA_AVG	TARGET	AMT_ANNUITY	FLOORSMAX_AVG	YEARS_BEGINEXPLUATATION_MODE	APARTMENTS_MODE	FLOORSMAX_MEDI	ENTRANCES_MODE	APARTMENTS_AVG	REGION_RATING_CLIENT_W_CITY	WALLSMATERIAL_MODE	NAME_EDUCATION_TYPE	COMMONAREA_MODE	OWN_CAR_AGE	NUM_UNIQUE(previous_app.NAME_CASH_LOAN_PURPOSE)	MAX(credit.CNT_INSTALMENT_MATURE_CUM)	MEAN(credit.AMT_DRAWINGS_POS_CURRENT)	MIN(credit.AMT_TOTAL_RECEIVABLE)	STD(credit.SK_DPD)	MAX(bureau.CREDIT_DAY_OVERDUE)	MEAN(credit.AMT_INST_MIN_REGULARITY)	NUM_UNIQUE(cash.NAME_CONTRACT_STATUS)	MAX(previous_app.DAYS_TERMINATION)	MEAN(previous_app.AMT_DOWN_PAYMENT)	SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL)	MAX(bureau.DAYS_CREDIT_ENDDATE)	NUM_UNIQUE(bureau.CREDIT_ACTIVE)	SUM(bureau.AMT_CREDIT_SUM)	STD(bureau.DAYS_CREDIT)	MIN(cash.CNT_INSTALMENT)	MEAN(cash.CNT_INSTALMENT)	STD(previous_app.AMT_CREDIT)	MAX(installments.AMT_INSTALMENT)	SUM(previous_app.DAYS_FIRST_DRAWING)	SUM(credit.CNT_DRAWINGS_ATM_CURRENT)	MODE(previous_app.NAME_CONTRACT_TYPE)	MEAN(credit.AMT_RECIVABLE)	MODE(bureau_balance.STATUS)	COUNT(bureau_balance)	MIN(bureau.AMT_CREDIT_SUM_DEBT)	MODE(bureau.CREDIT_CURRENCY)	STD(installments.NUM_INSTALMENT_VERSION)	MIN(bureau.DAYS_CREDIT_UPDATE)	MEAN(installments.DAYS_INSTALMENT)	NUM_UNIQUE(previous_app.NAME_CONTRACT_TYPE)	MEAN(bureau.AMT_CREDIT_SUM)	SKEW(bureau.CREDIT_DAY_OVERDUE)	SKEW(credit.CNT_DRAWINGS_POS_CURRENT)	SKEW(installments.DAYS_ENTRY_PAYMENT)	MIN(previous_app.NFLAG_LAST_APPL_IN_DAY)	MIN(previous_app.RATE_INTEREST_PRIMARY)	SUM(credit.AMT_DRAWINGS_CURRENT)	MAX(credit.CNT_DRAWINGS_CURRENT)	MEAN(previous_app.SELLERPLACE_AREA)	SUM(credit.CNT_INSTALMENT_MATURE_CUM)	MODE(previous_app.NAME_GOODS_CATEGORY)	MEAN(cash.MONTHS_BALANCE)	MEAN(bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau.DAYS_CREDIT_UPDATE)	NUM_UNIQUE(previous_app.NAME_GOODS_CATEGORY)	MODE(bureau.CREDIT_ACTIVE)	SUM(credit.AMT_PAYMENT_CURRENT)	MEAN(bureau.CREDIT_DAY_OVERDUE)	MEAN(credit.AMT_DRAWINGS_CURRENT)	SKEW(credit.AMT_RECEIVABLE_PRINCIPAL)	MAX(credit.AMT_INST_MIN_REGULARITY)	MIN(installments.AMT_INSTALMENT)	STD(credit.AMT_PAYMENT_TOTAL_CURRENT)	COUNT(previous_app)	STD(bureau.AMT_CREDIT_SUM_OVERDUE)	STD(credit.AMT_INST_MIN_REGULARITY)	MEAN(bureau.DAYS_CREDIT_ENDDATE)	SUM(installments.AMT_PAYMENT)	SUM(previous_app.SELLERPLACE_AREA)	MIN(bureau.DAYS_CREDIT_ENDDATE)	MAX(bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(bureau.AMT_CREDIT_SUM_LIMIT)	SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT)	SUM(credit.MONTHS_BALANCE)	SUM(credit.AMT_DRAWINGS_OTHER_CURRENT)	MEAN(previous_app.NFLAG_INSURED_ON_APPROVAL)	SUM(cash.SK_ID_CURR)	MAX(credit.CNT_DRAWINGS_POS_CURRENT)	MEAN(credit.CNT_DRAWINGS_POS_CURRENT)	MIN(credit.AMT_BALANCE)	MAX(installments.AMT_PAYMENT)	MAX(installments.DAYS_ENTRY_PAYMENT)	MEAN(credit.MONTHS_BALANCE)	MODE(previous_app.FLAG_LAST_APPL_PER_CONTRACT)	SUM(bureau.DAYS_CREDIT)	SUM(previous_app.DAYS_LAST_DUE)	SKEW(credit.CNT_DRAWINGS_CURRENT)	MIN(bureau.AMT_CREDIT_MAX_OVERDUE)	NUM_UNIQUE(bureau_balance.STATUS)	MAX(previous_app.RATE_INTEREST_PRIMARY)	MAX(credit.SK_ID_CURR)	STD(credit.CNT_INSTALMENT_MATURE_CUM)	MODE(previous_app.NAME_CLIENT_TYPE)	STD(credit.MONTHS_BALANCE)	MAX(previous_app.AMT_APPLICATION)	SKEW(bureau.AMT_CREDIT_SUM_DEBT)	SKEW(previous_app.DAYS_LAST_DUE_1ST_VERSION)	SKEW(cash.MONTHS_BALANCE)	NUM_UNIQUE(bureau.CREDIT_TYPE)	MAX(previous_app.SELLERPLACE_AREA)	MIN(installments.AMT_PAYMENT)	MODE(previous_app.CODE_REJECT_REASON)	SKEW(credit.AMT_TOTAL_RECEIVABLE)	MEAN(credit.AMT_PAYMENT_CURRENT)	MEAN(bureau.DAYS_CREDIT_UPDATE)	NUM_UNIQUE(previous_app.NAME_CONTRACT_STATUS)	MEAN(credit.AMT_RECEIVABLE_PRINCIPAL)	SKEW(bureau.DAYS_CREDIT_UPDATE)	SKEW(bureau.AMT_CREDIT_SUM)	SUM(previous_app.DAYS_TERMINATION)	MAX(previous_app.DAYS_LAST_DUE_1ST_VERSION)	STD(installments.NUM_INSTALMENT_NUMBER)	MAX(credit.SK_DPD)	MAX(previous_app.RATE_INTEREST_PRIVILEGED)	MIN(bureau.CREDIT_DAY_OVERDUE)	SKEW(cash.CNT_INSTALMENT)	SKEW(previous_app.DAYS_FIRST_DUE)	COUNT(bureau)	MIN(bureau.DAYS_CREDIT)	SUM(bureau.DAYS_ENDDATE_FACT)	MIN(previous_app.HOUR_APPR_PROCESS_START)	STD(bureau.AMT_CREDIT_SUM_LIMIT)	SUM(bureau.CNT_CREDIT_PROLONG)	MAX(installments.NUM_INSTALMENT_NUMBER)	SUM(previous_app.AMT_GOODS_PRICE)	MEAN(previous_app.DAYS_FIRST_DRAWING)	MAX(credit.CNT_DRAWINGS_OTHER_CURRENT)	STD(credit.AMT_RECIVABLE)	SKEW(installments.NUM_INSTALMENT_NUMBER)	NUM_UNIQUE(previous_app.NAME_PRODUCT_TYPE)	MAX(previous_app.AMT_CREDIT)	MIN(previous_app.CNT_PAYMENT)	SUM(credit.SK_DPD_DEF)	STD(previous_app.AMT_GOODS_PRICE)	SUM(previous_app.DAYS_LAST_DUE_1ST_VERSION)	NUM_UNIQUE(previous_app.FLAG_LAST_APPL_PER_CONTRACT)	SUM(bureau.DAYS_CREDIT_UPDATE)	MIN(credit.MONTHS_BALANCE)	MIN(previous_app.DAYS_TERMINATION)	MEAN(installments.AMT_PAYMENT)	MAX(previous_app.DAYS_DECISION)	MAX(credit.AMT_DRAWINGS_POS_CURRENT)	MAX(previous_app.NFLAG_LAST_APPL_IN_DAY)	SKEW(credit.SK_ID_CURR)	MAX(bureau_balance.MONTHS_BALANCE)	MIN(credit.AMT_DRAWINGS_CURRENT)	STD(credit.SK_ID_CURR)	MIN(bureau.AMT_ANNUITY)	STD(credit.AMT_CREDIT_LIMIT_ACTUAL)	MODE(previous_app.WEEKDAY_APPR_PROCESS_START)	MEAN(previous_app.NFLAG_LAST_APPL_IN_DAY)	MIN(cash.CNT_INSTALMENT_FUTURE)	MEAN(bureau.CNT_CREDIT_PROLONG)	MIN(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(bureau.AMT_CREDIT_SUM)	MAX(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(bureau.DAYS_CREDIT_ENDDATE)	STD(credit.CNT_DRAWINGS_CURRENT)	STD(cash.MONTHS_BALANCE)	STD(installments.DAYS_ENTRY_PAYMENT)	COUNT(cash)	MAX(credit.AMT_DRAWINGS_CURRENT)	MAX(previous_app.DAYS_LAST_DUE)	MODE(previous_app.NAME_PAYMENT_TYPE)	STD(installments.AMT_INSTALMENT)	STD(previous_app.DAYS_FIRST_DUE)	MEAN(previous_app.DAYS_LAST_DUE)	SKEW(previous_app.HOUR_APPR_PROCESS_START)	NUM_UNIQUE(previous_app.NAME_PORTFOLIO)	SKEW(installments.AMT_PAYMENT)	MIN(credit.AMT_DRAWINGS_OTHER_CURRENT)	MEAN(credit.AMT_TOTAL_RECEIVABLE)	MIN(installments.NUM_INSTALMENT_VERSION)	MEAN(credit.AMT_BALANCE)	SUM(installments.DAYS_ENTRY_PAYMENT)	MEAN(credit.SK_ID_CURR)	MEAN(previous_app.RATE_DOWN_PAYMENT)	STD(previous_app.HOUR_APPR_PROCESS_START)	SUM(credit.AMT_TOTAL_RECEIVABLE)	MODE(previous_app.NAME_PRODUCT_TYPE)	MEAN(cash.CNT_INSTALMENT_FUTURE)	SKEW(previous_app.DAYS_LAST_DUE)	MAX(previous_app.CNT_PAYMENT)	MEAN(previous_app.RATE_INTEREST_PRIVILEGED)	SKEW(bureau.AMT_CREDIT_SUM_OVERDUE)	MIN(previous_app.DAYS_FIRST_DRAWING)	SKEW(previous_app.NFLAG_INSURED_ON_APPROVAL)	MAX(credit.SK_DPD_DEF)	SKEW(credit.CNT_DRAWINGS_ATM_CURRENT)	MIN(credit.SK_ID_CURR)	SUM(previous_app.DAYS_FIRST_DUE)	MAX(cash.SK_ID_CURR)	SKEW(credit.CNT_INSTALMENT_MATURE_CUM)	SKEW(installments.AMT_INSTALMENT)	MAX(installments.NUM_INSTALMENT_VERSION)	MEAN(previous_app.CNT_PAYMENT)	MIN(credit.AMT_RECIVABLE)	MIN(credit.CNT_INSTALMENT_MATURE_CUM)	MODE(cash.NAME_CONTRACT_STATUS)	MEAN(previous_app.HOUR_APPR_PROCESS_START)	MIN(previous_app.AMT_APPLICATION)	STD(bureau.DAYS_ENDDATE_FACT)	SUM(bureau.AMT_CREDIT_MAX_OVERDUE)	STD(credit.SK_DPD_DEF)	MODE(previous_app.PRODUCT_COMBINATION)	SUM(credit.CNT_DRAWINGS_OTHER_CURRENT)	SKEW(credit.AMT_BALANCE)	MIN(previous_app.AMT_GOODS_PRICE)	MIN(credit.CNT_DRAWINGS_POS_CURRENT)	STD(installments.DAYS_INSTALMENT)	MAX(credit.AMT_DRAWINGS_OTHER_CURRENT)	SKEW(previous_app.SELLERPLACE_AREA)	STD(credit.AMT_BALANCE)	SUM(bureau.AMT_ANNUITY)	SKEW(previous_app.AMT_GOODS_PRICE)	NUM_UNIQUE(previous_app.NAME_PAYMENT_TYPE)	MIN(cash.SK_ID_CURR)	SUM(installments.NUM_INSTALMENT_NUMBER)	MEAN(previous_app.DAYS_LAST_DUE_1ST_VERSION)	MEAN(installments.NUM_INSTALMENT_NUMBER)	MEAN(cash.SK_ID_CURR)	MODE(previous_app.NAME_PORTFOLIO)	MIN(previous_app.DAYS_LAST_DUE_1ST_VERSION)	SKEW(bureau_balance.MONTHS_BALANCE)	MAX(previous_app.DAYS_FIRST_DUE)	MIN(previous_app.DAYS_DECISION)	MEAN(bureau.AMT_CREDIT_SUM_DEBT)	SKEW(bureau.AMT_ANNUITY)	STD(installments.AMT_PAYMENT)	MEAN(previous_app.AMT_GOODS_PRICE)	STD(previous_app.CNT_PAYMENT)	MIN(installments.DAYS_INSTALMENT)	MEAN(bureau.AMT_CREDIT_MAX_OVERDUE)	SUM(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(bureau.AMT_CREDIT_SUM_LIMIT)	MIN(credit.AMT_DRAWINGS_POS_CURRENT)	SUM(cash.MONTHS_BALANCE)	STD(bureau.CNT_CREDIT_PROLONG)	SKEW(bureau.DAYS_CREDIT)	SUM(credit.AMT_INST_MIN_REGULARITY)	COUNT(credit)	MEAN(previous_app.DAYS_FIRST_DUE)	MEAN(credit.SK_DPD_DEF)	MEAN(bureau.AMT_CREDIT_SUM_OVERDUE)	MAX(installments.SK_ID_CURR)	MAX(bureau.AMT_CREDIT_MAX_OVERDUE)	SKEW(previous_app.RATE_INTEREST_PRIVILEGED)	MIN(credit.SK_DPD)	MIN(installments.DAYS_ENTRY_PAYMENT)	MEAN(bureau_balance.MONTHS_BALANCE)	STD(bureau_balance.MONTHS_BALANCE)	STD(previous_app.RATE_INTEREST_PRIVILEGED)	SUM(credit.CNT_DRAWINGS_CURRENT)	MODE(previous_app.CHANNEL_TYPE)	SUM(previous_app.DAYS_DECISION)	MIN(previous_app.AMT_ANNUITY)	STD(previous_app.AMT_APPLICATION)	MAX(bureau.DAYS_ENDDATE_FACT)	MIN(bureau_balance.MONTHS_BALANCE)	MIN(installments.SK_ID_CURR)	STD(credit.AMT_DRAWINGS_CURRENT)	MEAN(previous_app.DAYS_DECISION)	SKEW(installments.DAYS_INSTALMENT)	SKEW(previous_app.AMT_ANNUITY)	MAX(credit.AMT_TOTAL_RECEIVABLE)	MEAN(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(credit.AMT_RECIVABLE)	STD(cash.CNT_INSTALMENT)	NUM_UNIQUE(previous_app.NAME_TYPE_SUITE)	SKEW(previous_app.RATE_DOWN_PAYMENT)	SUM(bureau.CREDIT_DAY_OVERDUE)	MAX(credit.AMT_PAYMENT_CURRENT)	NUM_UNIQUE(previous_app.WEEKDAY_APPR_PROCESS_START)	MIN(credit.AMT_PAYMENT_TOTAL_CURRENT)	SKEW(installments.NUM_INSTALMENT_VERSION)	SUM(cash.CNT_INSTALMENT_FUTURE)	MEAN(credit.CNT_DRAWINGS_ATM_CURRENT)	STD(previous_app.DAYS_LAST_DUE)	STD(previous_app.SELLERPLACE_AREA)	SUM(credit.SK_DPD)	MEAN(previous_app.AMT_ANNUITY)	MAX(previous_app.HOUR_APPR_PROCESS_START)	STD(credit.AMT_DRAWINGS_OTHER_CURRENT)	SKEW(previous_app.CNT_PAYMENT)	SKEW(cash.CNT_INSTALMENT_FUTURE)	STD(bureau.AMT_CREDIT_MAX_OVERDUE)	SKEW(credit.AMT_DRAWINGS_ATM_CURRENT)	SKEW(previous_app.AMT_DOWN_PAYMENT)	MODE(previous_app.NAME_CASH_LOAN_PURPOSE)	STD(bureau.AMT_CREDIT_SUM)	SKEW(previous_app.AMT_APPLICATION)	MAX(credit.AMT_RECIVABLE)	MAX(cash.CNT_INSTALMENT_FUTURE)	MAX(credit.AMT_BALANCE)	MIN(credit.AMT_INST_MIN_REGULARITY)	STD(bureau.DAYS_CREDIT_ENDDATE)	SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT)	SKEW(bureau.DAYS_ENDDATE_FACT)	MIN(credit.AMT_DRAWINGS_ATM_CURRENT)	SUM(credit.AMT_RECEIVABLE_PRINCIPAL)	STD(bureau.AMT_ANNUITY)	MEAN(previous_app.RATE_INTEREST_PRIMARY)	MIN(credit.AMT_PAYMENT_CURRENT)	MODE(previous_app.NAME_CONTRACT_STATUS)	MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)	STD(credit.AMT_PAYMENT_CURRENT)	SUM(credit.AMT_PAYMENT_TOTAL_CURRENT)	MIN(previous_app.DAYS_LAST_DUE)	SUM(cash.CNT_INSTALMENT)	SKEW(previous_app.AMT_CREDIT)	NUM_UNIQUE(previous_app.NAME_SELLER_INDUSTRY)	STD(previous_app.NFLAG_INSURED_ON_APPROVAL)	SUM(previous_app.RATE_DOWN_PAYMENT)	NUM_UNIQUE(previous_app.CODE_REJECT_REASON)	SUM(previous_app.CNT_PAYMENT)	NUM_UNIQUE(credit.NAME_CONTRACT_STATUS)	STD(previous_app.RATE_INTEREST_PRIMARY)	MIN(bureau.CNT_CREDIT_PROLONG)	MIN(previous_app.AMT_DOWN_PAYMENT)	MEAN(previous_app.AMT_APPLICATION)	SUM(credit.AMT_DRAWINGS_POS_CURRENT)	NUM_UNIQUE(previous_app.NAME_CLIENT_TYPE)	SUM(previous_app.AMT_APPLICATION)	STD(credit.AMT_TOTAL_RECEIVABLE)	STD(previous_app.RATE_DOWN_PAYMENT)	MAX(cash.MONTHS_BALANCE)	MIN(previous_app.SELLERPLACE_AREA)	MAX(credit.CNT_DRAWINGS_ATM_CURRENT)	MAX(bureau.AMT_CREDIT_SUM_LIMIT)	STD(credit.CNT_DRAWINGS_POS_CURRENT)	SUM(credit.AMT_CREDIT_LIMIT_ACTUAL)	MAX(credit.AMT_PAYMENT_TOTAL_CURRENT)	SUM(previous_app.HOUR_APPR_PROCESS_START)	STD(credit.CNT_DRAWINGS_ATM_CURRENT)	STD(previous_app.AMT_DOWN_PAYMENT)	STD(credit.AMT_DRAWINGS_ATM_CURRENT)	STD(credit.CNT_DRAWINGS_OTHER_CURRENT)	MIN(credit.AMT_CREDIT_LIMIT_ACTUAL)	SKEW(credit.AMT_INST_MIN_REGULARITY)	SUM(installments.SK_ID_CURR)	SKEW(bureau.AMT_CREDIT_SUM_LIMIT)	MAX(bureau.AMT_CREDIT_SUM_DEBT)	MAX(previous_app.RATE_DOWN_PAYMENT)	MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL)	SUM(previous_app.AMT_DOWN_PAYMENT)	SUM(previous_app.NFLAG_LAST_APPL_IN_DAY)	SUM(installments.AMT_INSTALMENT)	SKEW(previous_app.DAYS_FIRST_DRAWING)	SUM(bureau.AMT_CREDIT_SUM_DEBT)	MEAN(credit.CNT_DRAWINGS_CURRENT)	MAX(cash.CNT_INSTALMENT)	SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT)	SUM(credit.CNT_DRAWINGS_POS_CURRENT)	SKEW(bureau.AMT_CREDIT_MAX_OVERDUE)	SKEW(credit.AMT_DRAWINGS_CURRENT)	MIN(cash.MONTHS_BALANCE)	SUM(installments.NUM_INSTALMENT_VERSION)	MEAN(credit.SK_DPD)	MAX(previous_app.AMT_ANNUITY)	SUM(bureau_balance.MONTHS_BALANCE)	SUM(credit.SK_ID_CURR)	SKEW(credit.MONTHS_BALANCE)	NUM_UNIQUE(bureau.CREDIT_CURRENCY)	MAX(credit.AMT_CREDIT_LIMIT_ACTUAL)	MEAN(installments.SK_ID_CURR)	MEAN(bureau.DAYS_ENDDATE_FACT)	SKEW(credit.SK_DPD)	...	MEAN(previous_app.STD(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous_app.SKEW(credit.SK_DPD_DEF))	MIN(previous_app.SUM(credit.AMT_PAYMENT_CURRENT))	MIN(previous_app.STD(credit.AMT_RECIVABLE))	SKEW(previous_app.STD(credit.SK_DPD))	MAX(previous_app.MIN(cash.CNT_INSTALMENT))	MAX(previous_app.SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	MAX(previous_app.MIN(installments.AMT_PAYMENT))	SUM(previous_app.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	MAX(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.MEAN(installments.DAYS_INSTALMENT))	SKEW(previous_app.MAX(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.MAX(credit.AMT_PAYMENT_TOTAL_CURRENT))	MAX(previous_app.SKEW(installments.AMT_INSTALMENT))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous_app.MIN(cash.MONTHS_BALANCE))	SKEW(previous_app.SUM(credit.SK_DPD))	MAX(previous_app.STD(credit.SK_DPD_DEF))	STD(previous_app.SKEW(installments.AMT_INSTALMENT))	STD(previous_app.COUNT(cash))	MEAN(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.SKEW(credit.AMT_BALANCE))	MAX(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	MAX(previous_app.SUM(cash.CNT_INSTALMENT))	MAX(previous_app.COUNT(installments))	MEAN(previous_app.SKEW(credit.AMT_RECIVABLE))	SUM(previous_app.MIN(credit.SK_ID_CURR))	MEAN(previous_app.MEAN(cash.CNT_INSTALMENT_FUTURE))	SUM(previous_app.MEAN(installments.NUM_INSTALMENT_VERSION))	MAX(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.MEAN(credit.SK_ID_CURR))	MEAN(previous_app.STD(cash.MONTHS_BALANCE))	MIN(previous_app.SKEW(credit.AMT_CREDIT_LIMIT_ACTUAL))	SKEW(previous_app.MAX(credit.AMT_INST_MIN_REGULARITY))	MAX(previous_app.MEAN(credit.SK_DPD_DEF))	MAX(previous_app.MIN(credit.SK_ID_CURR))	STD(previous_app.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous_app.MAX(credit.SK_ID_CURR))	MAX(previous_app.MEAN(cash.MONTHS_BALANCE))	STD(previous_app.SUM(installments.NUM_INSTALMENT_NUMBER))	STD(previous_app.SKEW(installments.NUM_INSTALMENT_VERSION))	MIN(previous_app.SKEW(credit.AMT_PAYMENT_CURRENT))	SKEW(previous_app.SUM(credit.MONTHS_BALANCE))	SUM(previous_app.MEAN(installments.AMT_PAYMENT))	MIN(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.SUM(credit.AMT_BALANCE))	MIN(bureau.MAX(bureau_balance.MONTHS_BALANCE))	MIN(previous_app.MEAN(credit.SK_DPD_DEF))	MIN(bureau.STD(bureau_balance.MONTHS_BALANCE))	SKEW(previous_app.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous_app.STD(credit.SK_DPD))	SUM(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	MAX(previous_app.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	SKEW(previous_app.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.MIN(credit.AMT_PAYMENT_CURRENT))	SKEW(previous_app.STD(installments.DAYS_INSTALMENT))	SKEW(previous_app.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.STD(credit.AMT_PAYMENT_CURRENT))	MIN(previous_app.SUM(installments.AMT_INSTALMENT))	SUM(previous_app.SKEW(installments.NUM_INSTALMENT_NUMBER))	MIN(previous_app.STD(credit.SK_ID_CURR))	SKEW(previous_app.MIN(cash.SK_ID_CURR))	SKEW(previous_app.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(bureau.NUM_UNIQUE(bureau_balance.STATUS))	SKEW(previous_app.MIN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.SKEW(credit.SK_DPD_DEF))	MAX(previous_app.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.SUM(cash.SK_DPD_DEF))	SKEW(previous_app.STD(installments.NUM_INSTALMENT_VERSION))	MAX(previous_app.MEAN(credit.SK_DPD))	MAX(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	MIN(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	STD(previous_app.SKEW(installments.NUM_INSTALMENT_NUMBER))	MAX(previous_app.MIN(credit.AMT_DRAWINGS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_RECIVABLE))	SKEW(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.MIN(installments.DAYS_INSTALMENT))	SKEW(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.MAX(installments.NUM_INSTALMENT_VERSION))	MEAN(previous_app.MIN(cash.MONTHS_BALANCE))	MEAN(previous_app.MEAN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous_app.STD(installments.DAYS_ENTRY_PAYMENT))	STD(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	SUM(previous_app.SKEW(installments.AMT_INSTALMENT))	MEAN(previous_app.STD(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous_app.MIN(credit.CNT_DRAWINGS_CURRENT))	MAX(previous_app.STD(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MEAN(credit.MONTHS_BALANCE))	MIN(previous_app.SKEW(credit.SK_DPD_DEF))	STD(previous_app.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.MAX(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous_app.SUM(installments.SK_ID_CURR))	MIN(previous_app.MEAN(credit.SK_ID_CURR))	SUM(previous_app.MAX(installments.DAYS_INSTALMENT))	MAX(previous_app.MIN(credit.AMT_INST_MIN_REGULARITY))	MEAN(previous_app.SUM(installments.NUM_INSTALMENT_VERSION))	MAX(previous_app.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.SUM(cash.MONTHS_BALANCE))	STD(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(bureau.NUM_UNIQUE(bureau_balance.STATUS))	MIN(previous_app.SKEW(credit.CNT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.MIN(installments.DAYS_ENTRY_PAYMENT))	MAX(previous_app.SKEW(installments.NUM_INSTALMENT_VERSION))	MIN(previous_app.MAX(installments.NUM_INSTALMENT_NUMBER))	MIN(previous_app.MAX(credit.SK_DPD))	MAX(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous_app.MIN(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.MEAN(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MAX(cash.CNT_INSTALMENT))	STD(previous_app.SKEW(credit.AMT_DRAWINGS_CURRENT))	SUM(previous_app.MAX(credit.MONTHS_BALANCE))	MAX(previous_app.SUM(credit.SK_DPD))	STD(previous_app.MEAN(credit.SK_DPD_DEF))	SKEW(previous_app.SUM(installments.AMT_PAYMENT))	MEAN(previous_app.MIN(credit.SK_DPD_DEF))	MEAN(previous_app.SKEW(cash.CNT_INSTALMENT_FUTURE))	MEAN(bureau.SUM(bureau_balance.MONTHS_BALANCE))	MAX(previous_app.STD(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.SKEW(credit.MONTHS_BALANCE))	STD(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.MIN(credit.AMT_DRAWINGS_CURRENT))	MIN(previous_app.SKEW(credit.CNT_INSTALMENT_MATURE_CUM))	MEAN(previous_app.MIN(credit.MONTHS_BALANCE))	MEAN(previous_app.SUM(credit.AMT_PAYMENT_CURRENT))	SKEW(previous_app.MAX(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.STD(cash.CNT_INSTALMENT_FUTURE))	MEAN(previous_app.SUM(installments.AMT_INSTALMENT))	MIN(previous_app.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SKEW(installments.DAYS_ENTRY_PAYMENT))	STD(previous_app.MAX(installments.AMT_PAYMENT))	MAX(previous_app.STD(credit.AMT_INST_MIN_REGULARITY))	MAX(previous_app.STD(credit.MONTHS_BALANCE))	MAX(previous_app.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MAX(credit.SK_DPD_DEF))	STD(previous_app.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	MIN(previous_app.SKEW(credit.CNT_DRAWINGS_CURRENT))	SKEW(previous_app.MIN(credit.AMT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.MEAN(credit.CNT_INSTALMENT_MATURE_CUM))	MIN(previous_app.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MIN(credit.AMT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SKEW(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous_app.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.STD(installments.DAYS_ENTRY_PAYMENT))	MAX(previous_app.SUM(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.SUM(credit.AMT_BALANCE))	SKEW(previous_app.MEAN(cash.MONTHS_BALANCE))	MEAN(previous_app.MEAN(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.MAX(credit.SK_DPD_DEF))	SKEW(previous_app.MEAN(installments.AMT_INSTALMENT))	SKEW(previous_app.MIN(installments.DAYS_ENTRY_PAYMENT))	SKEW(previous_app.STD(credit.AMT_RECIVABLE))	MEAN(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.MIN(credit.AMT_INST_MIN_REGULARITY))	STD(previous_app.SUM(cash.MONTHS_BALANCE))	MIN(previous_app.SUM(credit.SK_ID_CURR))	STD(previous_app.SUM(credit.CNT_DRAWINGS_ATM_CURRENT))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.SKEW(cash.CNT_INSTALMENT_FUTURE))	MAX(bureau.MIN(bureau_balance.MONTHS_BALANCE))	MAX(previous_app.SKEW(credit.SK_DPD))	SUM(previous_app.MIN(installments.NUM_INSTALMENT_NUMBER))	MIN(previous_app.MEAN(credit.AMT_BALANCE))	MAX(previous_app.SKEW(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous_app.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	MIN(previous_app.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	SUM(previous_app.MIN(cash.MONTHS_BALANCE))	SKEW(previous_app.MAX(installments.AMT_INSTALMENT))	MIN(previous_app.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.MAX(credit.SK_ID_CURR))	MEAN(previous_app.MAX(credit.SK_ID_CURR))	MIN(previous_app.MEAN(cash.MONTHS_BALANCE))	SKEW(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.STD(installments.AMT_PAYMENT))	STD(previous_app.MAX(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	MAX(previous_app.SKEW(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous_app.MEAN(credit.CNT_DRAWINGS_POS_CURRENT))	MIN(previous_app.SKEW(credit.SK_DPD))	SUM(previous_app.MIN(installments.AMT_INSTALMENT))	MAX(previous_app.SUM(credit.MONTHS_BALANCE))	SKEW(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SUM(previous_app.STD(cash.CNT_INSTALMENT))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.MIN(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous_app.STD(credit.AMT_INST_MIN_REGULARITY))	MIN(previous_app.SKEW(credit.AMT_DRAWINGS_POS_CURRENT))	MAX(previous_app.SKEW(credit.AMT_PAYMENT_CURRENT))	SKEW(previous_app.MEAN(credit.SK_DPD))	MEAN(previous_app.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	STD(previous_app.MAX(credit.AMT_DRAWINGS_OTHER_CURRENT))	SKEW(previous_app.STD(cash.MONTHS_BALANCE))	MEAN(previous_app.STD(cash.CNT_INSTALMENT_FUTURE))	MAX(previous_app.MIN(installments.AMT_INSTALMENT))	MIN(previous_app.STD(credit.AMT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.MAX(credit.CNT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.STD(credit.AMT_INST_MIN_REGULARITY))	MAX(previous_app.SUM(credit.CNT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.MAX(installments.NUM_INSTALMENT_VERSION))	MEAN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	STD(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_ATM_CURRENT))	SUM(previous_app.MEAN(cash.MONTHS_BALANCE))	SKEW(previous_app.STD(credit.CNT_DRAWINGS_CURRENT))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.MEAN(credit.CNT_DRAWINGS_CURRENT))	SUM(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	SKEW(previous_app.STD(installments.DAYS_ENTRY_PAYMENT))	STD(previous_app.MAX(credit.AMT_RECIVABLE))	STD(previous_app.MEAN(installments.AMT_INSTALMENT))	MAX(previous_app.STD(installments.AMT_INSTALMENT))	SKEW(previous_app.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	STD(previous_app.MAX(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.SUM(installments.SK_ID_CURR))	STD(bureau.SUM(bureau_balance.MONTHS_BALANCE))	STD(previous_app.MEAN(credit.CNT_DRAWINGS_CURRENT))	MAX(previous_app.SKEW(credit.AMT_PAYMENT_TOTAL_CURRENT))	SKEW(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	SKEW(previous_app.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	SKEW(previous_app.SUM(installments.NUM_INSTALMENT_VERSION))	STD(previous_app.SKEW(credit.AMT_RECIVABLE))	SKEW(previous_app.STD(credit.CNT_DRAWINGS_POS_CURRENT))	STD(previous_app.MAX(installments.DAYS_INSTALMENT))	SUM(previous_app.MAX(installments.AMT_PAYMENT))	SKEW(previous_app.SUM(installments.AMT_INSTALMENT))	MIN(previous_app.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	SUM(previous_app.MEAN(installments.AMT_INSTALMENT))	MIN(previous_app.STD(credit.AMT_PAYMENT_TOTAL_CURRENT))	SKEW(previous_app.SUM(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MAX(credit.AMT_INST_MIN_REGULARITY))	MEAN(previous_app.MAX(cash.CNT_INSTALMENT_FUTURE))	SKEW(previous_app.MIN(installments.DAYS_INSTALMENT))	MEAN(previous_app.STD(credit.CNT_DRAWINGS_ATM_CURRENT))	SKEW(previous_app.MAX(credit.SK_DPD_DEF))	SUM(previous_app.MEAN(cash.CNT_INSTALMENT))	STD(previous_app.MEAN(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.STD(credit.SK_DPD_DEF))	MAX(previous_app.MIN(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.STD(installments.NUM_INSTALMENT_VERSION))	STD(bureau.MEAN(bureau_balance.MONTHS_BALANCE))	SUM(previous_app.MIN(installments.SK_ID_CURR))	SUM(previous_app.SKEW(cash.CNT_INSTALMENT_FUTURE))	SUM(previous_app.MAX(cash.MONTHS_BALANCE))	SKEW(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	SKEW(previous_app.MEAN(credit.AMT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	SKEW(previous_app.SUM(credit.AMT_INST_MIN_REGULARITY))	MEAN(previous_app.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	SKEW(previous_app.MEAN(credit.SK_DPD_DEF))	MAX(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.MIN(installments.NUM_INSTALMENT_NUMBER))	MAX(previous_app.MEAN(credit.AMT_DRAWINGS_CURRENT))	MIN(previous_app.MEAN(credit.AMT_INST_MIN_REGULARITY))	MAX(previous_app.SUM(credit.AMT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	STD(previous_app.SKEW(credit.SK_ID_CURR))	MEAN(previous_app.MAX(installments.DAYS_INSTALMENT))	MEAN(previous_app.MIN(installments.DAYS_INSTALMENT))	MEAN(previous_app.SUM(credit.AMT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.SUM(credit.AMT_BALANCE))	MIN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))	SKEW(previous_app.STD(cash.SK_DPD))	MAX(previous_app.SUM(credit.AMT_DRAWINGS_POS_CURRENT))	STD(previous_app.COUNT(installments))	MEAN(previous_app.MEAN(installments.AMT_INSTALMENT))	MAX(previous_app.MEAN(credit.AMT_RECIVABLE))	STD(previous_app.SKEW(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.NUM_UNIQUE(credit.NAME_CONTRACT_STATUS))	MEAN(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	MAX(previous_app.SUM(installments.NUM_INSTALMENT_VERSION))	MAX(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	SKEW(bureau.MAX(bureau_balance.MONTHS_BALANCE))	SKEW(previous_app.MIN(credit.CNT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.SKEW(credit.AMT_DRAWINGS_ATM_CURRENT))	MEAN(previous_app.MIN(cash.CNT_INSTALMENT_FUTURE))	SKEW(previous_app.MEAN(credit.AMT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.SUM(installments.DAYS_INSTALMENT))	SKEW(previous_app.STD(cash.SK_DPD_DEF))	STD(previous_app.SKEW(cash.CNT_INSTALMENT))	SUM(bureau.NUM_UNIQUE(bureau_balance.STATUS))	SKEW(previous_app.STD(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MAX(credit.SK_DPD_DEF))	STD(previous_app.SUM(credit.AMT_CREDIT_LIMIT_ACTUAL))	MEAN(previous_app.SUM(credit.AMT_RECIVABLE))	SKEW(previous_app.STD(installments.AMT_INSTALMENT))	MIN(previous_app.SUM(credit.MONTHS_BALANCE))	MEAN(previous_app.MEAN(cash.CNT_INSTALMENT))	STD(previous_app.MAX(credit.AMT_DRAWINGS_CURRENT))	MAX(previous_app.SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT))	SKEW(previous_app.STD(credit.AMT_DRAWINGS_OTHER_CURRENT))	SUM(previous_app.MEAN(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_POS_CURRENT))	MIN(previous_app.MEAN(installments.DAYS_INSTALMENT))	SKEW(previous_app.MIN(credit.SK_ID_CURR))	STD(previous_app.MEAN(cash.MONTHS_BALANCE))	SKEW(previous_app.MEAN(cash.SK_DPD))	MEAN(previous_app.MIN(installments.AMT_PAYMENT))	MEAN(previous_app.STD(credit.AMT_CREDIT_LIMIT_ACTUAL))	MIN(previous_app.SKEW(credit.CNT_DRAWINGS_OTHER_CURRENT))	MAX(previous_app.MIN(credit.AMT_BALANCE))	MAX(previous_app.MIN(credit.SK_DPD_DEF))	SKEW(previous_app.MAX(credit.SK_ID_CURR))	SKEW(previous_app.STD(cash.CNT_INSTALMENT))	MIN(previous_app.STD(credit.AMT_BALANCE))	STD(previous_app.MEAN(installments.NUM_INSTALMENT_VERSION))	SUM(previous_app.SKEW(installments.AMT_PAYMENT))	MIN(previous_app.SUM(credit.CNT_DRAWINGS_CURRENT))	MEAN(previous_app.MAX(installments.SK_ID_CURR))	SUM(previous_app.MEAN(installments.DAYS_INSTALMENT))	STD(previous_app.MAX(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.SUM(credit.SK_ID_CURR))	MEAN(previous_app.MEAN(credit.AMT_RECIVABLE))	SKEW(previous_app.MEAN(credit.AMT_RECEIVABLE_PRINCIPAL))	MEAN(previous_app.STD(credit.AMT_DRAWINGS_CURRENT))	SKEW(previous_app.MAX(credit.CNT_DRAWINGS_CURRENT))	MAX(previous_app.NUM_UNIQUE(cash.NAME_CONTRACT_STATUS))	STD(previous_app.MEAN(credit.AMT_RECIVABLE))	SKEW(previous_app.MAX(credit.SK_DPD))	SKEW(previous_app.STD(credit.CNT_INSTALMENT_MATURE_CUM))	MAX(previous_app.SKEW(credit.AMT_RECIVABLE))	SKEW(previous_app.MEAN(cash.SK_DPD_DEF))	SKEW(bureau.STD(bureau_balance.MONTHS_BALANCE))	MIN(previous_app.SUM(installments.DAYS_INSTALMENT))	SKEW(previous_app.MEAN(installments.SK_ID_CURR))	MAX(previous_app.MIN(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.MEAN(installments.SK_ID_CURR))	STD(previous_app.SUM(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))	SKEW(bureau.NUM_UNIQUE(bureau_balance.STATUS))	MEAN(previous_app.MEAN(cash.MONTHS_BALANCE))	MIN(previous_app.STD(credit.AMT_DRAWINGS_ATM_CURRENT))	STD(previous_app.SUM(credit.SK_DPD))	SKEW(previous_app.MAX(cash.SK_DPD))	SKEW(previous_app.MAX(credit.CNT_DRAWINGS_ATM_CURRENT))	STD(previous_app.MIN(installments.AMT_PAYMENT))	MEAN(previous_app.SKEW(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.SUM(cash.CNT_INSTALMENT_FUTURE))	SKEW(previous_app.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	STD(previous_app.SKEW(credit.CNT_DRAWINGS_POS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_BALANCE))	MAX(previous_app.MEAN(cash.CNT_INSTALMENT))	SUM(previous_app.MEAN(installments.SK_ID_CURR))	SKEW(previous_app.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MIN(cash.SK_ID_CURR))	MEAN(previous_app.SUM(installments.NUM_INSTALMENT_NUMBER))	MAX(previous_app.COUNT(cash))	SKEW(previous_app.MIN(credit.AMT_CREDIT_LIMIT_ACTUAL))	STD(previous_app.SUM(installments.AMT_PAYMENT))	SKEW(previous_app.SUM(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.SUM(installments.DAYS_ENTRY_PAYMENT))	STD(previous_app.SUM(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.SKEW(credit.AMT_DRAWINGS_CURRENT))	MEAN(previous_app.MAX(credit.AMT_DRAWINGS_CURRENT))	MIN(previous_app.STD(credit.AMT_TOTAL_RECEIVABLE))	MEAN(previous_app.MIN(credit.SK_DPD))	SKEW(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	SUM(previous_app.MEAN(cash.SK_ID_CURR))	MEAN(previous_app.SKEW(credit.SK_ID_CURR))	MIN(previous_app.MAX(installments.AMT_PAYMENT))	SKEW(previous_app.MIN(credit.MONTHS_BALANCE))	STD(previous_app.MIN(installments.AMT_INSTALMENT))	MAX(previous_app.SKEW(credit.AMT_DRAWINGS_CURRENT))	SKEW(previous_app.STD(credit.SK_ID_CURR))	STD(previous_app.SUM(credit.AMT_INST_MIN_REGULARITY))	STD(previous_app.SUM(credit.AMT_RECIVABLE))	MAX(previous_app.STD(credit.AMT_PAYMENT_CURRENT))	MEAN(previous_app.SUM(installments.SK_ID_CURR))	STD(previous_app.MEAN(credit.AMT_BALANCE))	MIN(previous_app.STD(installments.NUM_INSTALMENT_NUMBER))	SUM(bureau.STD(bureau_balance.MONTHS_BALANCE))	MODE(bureau.MODE(bureau_balance.STATUS))	MEAN(previous_app.STD(installments.AMT_PAYMENT))	MIN(previous_app.MAX(cash.SK_ID_CURR))	MIN(previous_app.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	SKEW(previous_app.MAX(cash.MONTHS_BALANCE))	MEAN(previous_app.MIN(credit.AMT_INST_MIN_REGULARITY))	SUM(previous_app.STD(installments.AMT_INSTALMENT))	MEAN(previous_app.MEAN(credit.AMT_TOTAL_RECEIVABLE))	MAX(previous_app.SKEW(installments.DAYS_INSTALMENT))	MIN(previous_app.SUM(installments.AMT_PAYMENT))	MIN(bureau.SKEW(bureau_balance.MONTHS_BALANCE))	MAX(previous_app.STD(installments.NUM_INSTALMENT_VERSION))	SKEW(previous_app.STD(installments.SK_ID_CURR))	MAX(bureau.STD(bureau_balance.MONTHS_BALANCE))	MEAN(previous_app.MAX(credit.MONTHS_BALANCE))	MIN(previous_app.SUM(credit.CNT_INSTALMENT_MATURE_CUM))	MEAN(previous_app.MIN(installments.AMT_INSTALMENT))	SKEW(previous_app.MAX(cash.SK_DPD_DEF))	STD(previous_app.MAX(credit.MONTHS_BALANCE))	MEAN(bureau.COUNT(bureau_balance))	MAX(previous_app.SUM(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous_app.SUM(credit.AMT_INST_MIN_REGULARITY))	MIN(previous_app.MEAN(credit.AMT_RECIVABLE))	SKEW(previous_app.SUM(installments.DAYS_INSTALMENT))	MAX(previous_app.MIN(credit.MONTHS_BALANCE))	MIN(previous_app.SUM(cash.CNT_INSTALMENT))	STD(previous_app.SUM(credit.SK_ID_CURR))	MEAN(previous_app.MIN(credit.AMT_TOTAL_RECEIVABLE))	MIN(previous_app.SKEW(installments.NUM_INSTALMENT_NUMBER))	SKEW(previous_app.MAX(installments.SK_ID_CURR))	MAX(previous_app.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.STD(installments.AMT_INSTALMENT))	SKEW(previous_app.MAX(cash.CNT_INSTALMENT))	MEAN(previous_app.MAX(credit.CNT_INSTALMENT_MATURE_CUM))	SKEW(previous_app.STD(credit.MONTHS_BALANCE))	STD(previous_app.MAX(credit.CNT_DRAWINGS_OTHER_CURRENT))	MEAN(previous_app.MIN(credit.AMT_PAYMENT_TOTAL_CURRENT))	STD(previous_app.MIN(installments.DAYS_INSTALMENT))	SKEW(previous_app.STD(installments.AMT_PAYMENT))	MEAN(previous_app.STD(credit.AMT_RECEIVABLE_PRINCIPAL))	MIN(previous_app.MAX(credit.MONTHS_BALANCE))	MEAN(previous_app.MEAN(installments.NUM_INSTALMENT_NUMBER))	SUM(previous_app.MAX(installments.DAYS_ENTRY_PAYMENT))	MEAN(previous_app.MAX(installments.AMT_PAYMENT))	STD(previous_app.SUM(cash.CNT_INSTALMENT))	STD(previous_app.MIN(cash.CNT_INSTALMENT))	STD(previous_app.MEAN(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.STD(credit.CNT_DRAWINGS_OTHER_CURRENT))	MIN(previous_app.SKEW(credit.AMT_DRAWINGS_OTHER_CURRENT))	SKEW(previous_app.SUM(credit.AMT_RECEIVABLE_PRINCIPAL))
1	100002	Unaccompanied	0.262949	Laborers	1	202500.0	406597.5	2	1.0	-9461	0.0143	0	block of flats	0.00	0.022	train	0.0833	0.0	0.0144	Business Entity Type 3	Y	-3648.0	-2120	0.0377	0.0000	0.018801	0.0193	0.1250	0.00	Working	1.0	1	0.0205	2.0	0.139376	0	N	0.0375	reg oper account	0.0149	Cash loans	2.0	0.0	0.0	Single / not married	0.0690	0.0369	-1134.0	M	0.6243	0.0	0	0.0000	0.1250	10	0.6192	1	0.0000	0.0250	0.0383	0.0202	0.083037	0.6341	0.0690	0.0	0.0	0.0	0.1250	0.0369	WEDNESDAY	1	2.0	0.9722	House / apartment	0.0190	351000.0	0	1	-637	0.0198	0.00	0.0369	No	2.0	0.9722	0.0000	1	24700.5	0.0833	0.9722	0.0252	0.0833	0.0690	0.0247	2	Stone, brick	Secondary / secondary special	0.0144	NaN	1.0	NaN	NaN	NaN	NaN	0.0	NaN	1.0	-17.0	0.00	NaN	780.0	2.0	865055.565	403.585493	24.0	24.000000	0.000000	53093.745	365243.0	NaN	Consumer loans	NaN	0	110.0	0.0	currency 1	0.223297	-1185.0	-295.000000	1.0	108131.945625	0.0	NaN	-0.007816	1.0	NaN	NaN	NaN	500.000000	NaN	Vehicles	-10.000000	7997.14125	-7.0	1.0	Closed	NaN	0.0	NaN	NaN	NaN	9251.775	NaN	1.0	0.0	NaN	-349.0	219625.695	500.0	-1072.0	0.0	0.0	NaN	NaN	NaN	0.000000	1900038.0	NaN	NaN	NaN	53093.745	-49.0	NaN	Y	-6992.0	-25.0	NaN	0.0	4.0	NaN	NaN	NaN	New	NaN	179055.0	NaN	0.000000	0.000000	2.0	500.0	9251.775	XAP	NaN	NaN	-499.875	1.0	NaN	-0.153490	1.822265e+00	-17.0	125.0	5.477226	NaN	NaN	0.0	0.000000	0.000000	8.0	-1437.0	-4185.0	9.0	13851.454960	0.0	19.0	179055.00	365243.0	NaN	NaN	0.000000	1.0	179055.0	24.0	NaN	0.000000	125.0	1.0	-3999.0	NaN	-17.0	11559.247105	-606.0	NaN	1.0	NaN	0.0	NaN	NaN	0.0	NaN	SATURDAY	1.0	6.0	0.0	0.0	450000.0	NaN	-2094.0	NaN	5.477226	167.469814	19.0	NaN	-25.0	XNA	9789.775038	0.000000	-25.000000	0.000000	1.0	4.006938	NaN	NaN	1.0	NaN	-5993.0	NaN	0.000000	0.000000	NaN	XNA	15.000000	0.000000	24.0	NaN	0.0	365243.0	0.000000	NaN	NaN	NaN	-565.0	100002.0	NaN	4.006938	2.0	24.000000	NaN	NaN	Active	9.000000	179055.0	471.034588	8405.145	NaN	POS other with interest	NaN	NaN	179055.00	NaN	164.316767	NaN	0.000000	NaN	0.0	0.000000	1.0	100002.0	190.0	125.000000	10.000000	100002.0	POS	125.0	0.44634	-565.0	-606.0	49156.2	NaN	9789.775038	179055.00	0.000000	-565.0	1681.029	NaN	31988.565	NaN	-190.0	0.0	0.597962	NaN	0.0	-565.000000	NaN	0.0	100002.0	5043.645	NaN	NaN	-587.0	-24.554545	11.054071	NaN	NaN	Stone	-606.0	9251.775	0.000000	-36.0	-47.0	100002.0	NaN	-606.000000	0.000000	0.000000	NaN	NaN	NaN	0.000000	0.0	0.0	0.0	NaN	1.0	NaN	4.006938	285.0	NaN	0.000000	0.000000	NaN	9251.775	9.0	NaN	0.000000	0.000000	2113.752286	NaN	0.0	XAP	136641.172126	0.000000	NaN	24.0	NaN	NaN	700.620201	NaN	NaN	NaN	NaN	0.0	NaN	NaN	Approved	NaN	NaN	NaN	-25.0	456.0	0.000000	1.0	0.000000	0.000000	1.0	24.0	NaN	NaN	0.0	0.00	179055.00	NaN	1.0	179055.00	NaN	0.000000	-1.0	500.0	NaN	31988.565	NaN	NaN	NaN	9.0	NaN	0.00	NaN	NaN	NaN	NaN	1900038.0	NaN	245781.0	0.000000	NaN	0.00	1.0	219625.695	0.0	245781.0	NaN	24.0	NaN	NaN	NaN	NaN	-19.0	20.0	NaN	9251.775	-2701.0	NaN	NaN	1.0	NaN	100002.0	-697.500000	NaN	...	NaN	NaN	NaN	NaN	NaN	24.0	NaN	-315.421053	9251.775	0.0	NaN	NaN	-295.0	0.000000	NaN	4.006938	NaN	0.000000	NaN	NaN	0.000000	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	456.0	19.0	NaN	0.0	15.000000	1.052632	NaN	NaN	5.477226	NaN	NaN	NaN	NaN	NaN	0.0	-10.0	0.000000	0.000000	NaN	NaN	11559.247105	NaN	NaN	-32.0	NaN	1.118034	NaN	NaN	NaN	NaN	10.00000	NaN	NaN	NaN	0.000000	NaN	NaN	219625.695	0.000000	NaN	0.0	NaN	3.25	NaN	NaN	NaN	0.0	0.000000	NaN	10.0	24.0	0.000000	NaN	NaN	0.000000	-565.0	NaN	0.000000	-19.000000	NaN	167.469814	0.000000	4.006938	NaN	NaN	5.477226	NaN	NaN	NaN	NaN	NaN	1900038.0	NaN	-25.0	NaN	20.000000	NaN	0.000000	NaN	NaN	2.0	NaN	-587.000000	4.006938	19.0	NaN	NaN	NaN	NaN	24.0	NaN	0.0	NaN	NaN	0.000000	NaN	0.000000	-337.625	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5.477226	219625.695	NaN	-0.007816	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	167.469814	285.0	NaN	0.000000	NaN	NaN	0.000000	0.000000	NaN	NaN	NaN	0.000000	NaN	NaN	NaN	0.000000	-3.0	NaN	1.0	NaN	NaN	0.000000	NaN	-19.0	0.000000	NaN	NaN	NaN	-10.0	NaN	9789.775038	0.000000	NaN	NaN	NaN	NaN	9251.775	NaN	NaN	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000000	5.477226	9251.775	NaN	NaN	NaN	NaN	NaN	2.000000	NaN	NaN	NaN	-10.0	NaN	NaN	NaN	0.0	0.000000	NaN	0.000000	9789.775038	NaN	NaN	1900038.0	220.858517	NaN	NaN	0.000000	NaN	0.000000	NaN	NaN	0.000000	53093.745	0.000000	1.0	11559.247105	NaN	NaN	NaN	NaN	24.0	0.000000	NaN	NaN	24.000000	NaN	NaN	-587.0	0.223297	11.3901	100002.0	0.000000	-1.0	NaN	NaN	NaN	NaN	1.000000	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	-25.000000	-565.000000	NaN	NaN	NaN	0.0	NaN	0.000000	11559.247105	NaN	NaN	NaN	NaN	20.0	NaN	NaN	0.327369	NaN	NaN	6.000000	NaN	-5605.000000	0.0	0.000000	26.0	NaN	NaN	NaN	NaN	0.000000	NaN	24.000000	NaN	NaN	NaN	-315.421053	NaN	-295.0	NaN	0.000000	0.0	9251.775	NaN	NaN	NaN	NaN	NaN	0.000000	NaN	0.000000	4.006938	NaN	100002.0	-295.000000	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	0.0	-0.73668	-5605.0	0.0	NaN	100002.0	NaN	NaN	-0.516398	-10.000000	NaN	NaN	0.0	NaN	0.000000	-0.007816	285.000000	NaN	NaN	NaN	24.000000	100002.0	NaN	100002.0	190.000000	19.0	NaN	0.000000	NaN	-5993.0	0.000000	NaN	NaN	NaN	NaN	NaN	100002.0	NaN	53093.745	NaN	0.000000	NaN	NaN	NaN	NaN	NaN	1.900038e+06	NaN	5.477226	31.629218	1	9789.775038	100002.0	NaN	0.000000	NaN	9789.775038	NaN	0.000000	219625.695	0.0	0.223297	0.0	6.344289	NaN	NaN	9251.775	0.0	NaN	13.75	NaN	NaN	NaN	0.000000	NaN	456.0	NaN	NaN	0.000000	0.0	NaN	9.789775e+03	0.000000	NaN	NaN	NaN	NaN	0.000000	0.000000	NaN	NaN	10.000000	-49.0	53093.745	0.000000	0.000000	NaN	NaN	NaN	NaN
2	100003	Family	0.622246	Core staff	1	270000.0	1293502.5	1	2.0	-16765	0.0605	0	block of flats	0.08	0.079	train	0.2917	0.0	0.0608	School	N	-1186.0	-291	0.0128	0.0039	0.003541	0.0558	0.3333	0.08	State servant	0.0	1	0.0787	0.0	NaN	0	N	0.0132	reg oper account	0.0714	Cash loans	0.0	0.0	0.0	Married	0.0345	0.0529	-828.0	F	0.7987	0.0	0	0.0806	0.3333	11	0.7960	1	0.0039	0.0968	0.0538	0.0773	0.311267	0.8040	0.0345	0.0	0.0	0.0	0.3333	0.0529	MONDAY	1	1.0	0.9851	House / apartment	0.0549	1129500.0	0	1	-1188	0.0554	0.01	0.0130	No	1.0	0.9851	0.0098	0	35698.5	0.2917	0.9851	0.0924	0.2917	0.0345	0.0959	1	Block	Higher education	0.0497	NaN	2.0	NaN	NaN	NaN	NaN	0.0	NaN	2.0	-527.0	3442.50	NaN	1216.0	2.0	1017400.500	787.932540	6.0	10.107143	406574.359640	560835.360	1095729.0	NaN	Consumer loans	NaN	NaN	0.0	0.0	currency 1	0.195959	-2131.0	-1378.160000	2.0	254350.125000	0.0	NaN	-0.093656	1.0	NaN	NaN	NaN	533.000000	NaN	Consumer Electronics	-43.785714	202500.00000	-43.0	3.0	Closed	NaN	0.0	NaN	NaN	NaN	6662.970	NaN	3.0	0.0	NaN	-544.5	1618864.650	1599.0	-2434.0	0.0	0.0	NaN	NaN	NaN	0.666667	2800084.0	NaN	NaN	NaN	560835.360	-544.0	NaN	Y	-5603.0	-3163.0	NaN	0.0	NaN	NaN	NaN	NaN	Refreshed	NaN	900000.0	0.0	-0.633697	-0.292866	2.0	1400.0	6662.970	XAP	NaN	NaN	-816.000	1.0	NaN	-0.911013	1.120577e+00	-3142.0	-386.0	3.071417	NaN	NaN	0.0	-0.776930	-0.700638	4.0	-2586.0	-3292.0	12.0	350740.288533	0.0	12.0	1306309.50	365243.0	NaN	NaN	0.603821	2.0	1035882.0	6.0	NaN	346326.512939	-3013.0	1.0	-3264.0	NaN	-1976.0	64754.586000	-746.0	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	FRIDAY	1.0	0.0	0.0	0.0	810000.0	NaN	-2178.0	NaN	24.196158	742.024351	28.0	NaN	-536.0	Cash through the bank	108309.178391	733.073136	-1054.333333	-0.239063	2.0	3.776818	NaN	NaN	1.0	NaN	-34633.0	NaN	0.050030	2.054805	NaN	XNA	5.785714	-0.691958	12.0	NaN	0.0	365243.0	-0.707107	NaN	NaN	NaN	-3823.0	100003.0	NaN	3.776818	2.0	10.000000	NaN	NaN	Active	14.666667	68809.5	731.660364	0.000	NaN	Cash X-Sell: low	NaN	NaN	68809.50	NaN	742.149887	NaN	0.651515	NaN	0.0	0.401566	2.0	100003.0	127.0	-1004.333333	5.080000	100003.0	POS	-1980.0	NaN	-716.0	-2341.0	0.0	NaN	108309.178391	435436.50	2.828427	-2310.0	0.000	NaN	810000.000	NaN	-1226.0	0.0	-0.475835	NaN	0.0	-1274.333333	NaN	0.0	100003.0	0.000	NaN	NaN	-2324.0	NaN	NaN	NaN	NaN	Country-wide	-3915.0	6737.310	346326.512939	-540.0	NaN	100003.0	NaN	-1305.000000	-0.092540	-0.308242	NaN	NaN	NaN	2.756023	2.0	NaN	0.0	NaN	3.0	NaN	4.694855	162.0	NaN	656.111948	618.528900	NaN	56553.990	17.0	NaN	-0.707107	0.026979	0.000000	NaN	NaN	XAP	322394.814207	0.401566	NaN	12.0	NaN	NaN	1292.777146	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Approved	NaN	NaN	NaN	-1980.0	283.0	0.463045	3.0	0.471405	0.100061	1.0	30.0	NaN	NaN	0.0	0.00	435436.50	NaN	2.0	1306309.50	NaN	0.050030	-18.0	-1.0	NaN	810000.000	NaN	NaN	NaN	44.0	NaN	3442.50	NaN	NaN	NaN	NaN	2500075.0	1.154701	0.0	0.100061	NaN	6885.00	3.0	1618864.650	0.0	0.0	NaN	12.0	NaN	NaN	0.0	NaN	-77.0	26.0	NaN	98356.995	NaN	NaN	NaN	1.0	NaN	100003.0	-1097.333333	NaN	...	NaN	NaN	NaN	NaN	NaN	12.0	NaN	-630.428571	98356.995	0.0	NaN	NaN	-626.0	-0.690144	NaN	2.041241	NaN	23.837412	NaN	NaN	2.153552	1.885618	NaN	NaN	NaN	NaN	NaN	NaN	144.0	12.0	NaN	0.0	5.666667	3.142857	NaN	NaN	2.678209	NaN	NaN	NaN	NaN	NaN	0.0	-21.5	25.381533	0.962250	NaN	NaN	235675.437857	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	14.00000	NaN	NaN	NaN	0.630089	NaN	NaN	80773.380	0.000000	NaN	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.707107	NaN	6.5	6.0	0.000000	NaN	NaN	-0.707107	-716.0	NaN	0.471405	-43.333333	NaN	214.957710	2.828427	-2.762726	NaN	NaN	3.515590	NaN	NaN	NaN	NaN	NaN	600018.0	NaN	-3163.0	NaN	8.666667	NaN	-0.704085	NaN	NaN	NaN	NaN	-1283.000000	2.041241	6.0	NaN	NaN	NaN	NaN	30.0	NaN	0.0	NaN	NaN	0.469415	NaN	-0.307677	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.117634	539621.550	NaN	-0.018718	248696.741719	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	71.652570	78.0	NaN	-0.698013	NaN	NaN	0.313283	-0.699723	NaN	NaN	NaN	317.877684	NaN	NaN	NaN	-1.104436	NaN	NaN	3.0	NaN	NaN	0.471405	NaN	-130.0	0.678539	NaN	NaN	NaN	-71.5	NaN	161833.715904	653.464783	NaN	NaN	NaN	NaN	169295.580	NaN	NaN	1.653595	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.707107	3.028426	98356.995	NaN	NaN	NaN	NaN	NaN	1.333333	NaN	NaN	NaN	-117.5	NaN	NaN	NaN	0.0	0.629792	NaN	65139.322640	161833.715904	NaN	NaN	1200036.0	NaN	NaN	NaN	-0.695509	NaN	0.381802	NaN	NaN	656.111948	632140.335	0.469415	1.0	235675.437857	NaN	NaN	NaN	NaN	10.0	-0.700638	NaN	NaN	29.375000	NaN	NaN	-719.0	0.116642	NaN	300009.0	-0.923032	-105.0	NaN	NaN	NaN	NaN	1.666667	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	-1054.333333	-1274.333333	NaN	NaN	NaN	0.0	NaN	2.624669	78558.479286	NaN	NaN	NaN	NaN	12.0	NaN	NaN	NaN	NaN	NaN	0.333333	NaN	-11484.666667	0.0	1.069045	0.0	NaN	NaN	NaN	NaN	0.707106	NaN	9.791667	NaN	NaN	NaN	-3515.345238	NaN	-2145.0	NaN	22.895900	0.0	56431.860	NaN	NaN	NaN	NaN	NaN	0.707107	NaN	0.067344	-2.762726	NaN	100003.0	-3493.000000	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	0.0	NaN	-25740.0	0.0	NaN	100003.0	NaN	NaN	NaN	-39.166667	NaN	NaN	0.0	NaN	37842.585575	-0.023621	54.000000	NaN	NaN	NaN	12.000000	300009.0	NaN	100003.0	42.333333	12.0	NaN	450020.778765	NaN	-4399.0	10095.129431	NaN	NaN	NaN	NaN	NaN	300009.0	NaN	6737.310	NaN	37842.585575	NaN	NaN	NaN	NaN	NaN	8.333583e+05	NaN	1.707825	0.000000	NaN	53987.701001	100003.0	NaN	-0.697217	NaN	161963.103003	NaN	0.000000	80773.380	NaN	0.349927	0.0	NaN	NaN	NaN	56431.860	0.0	NaN	0.00	NaN	NaN	NaN	-0.707094	NaN	48.0	NaN	NaN	0.000000	0.0	NaN	2.054649e+01	-0.707107	NaN	NaN	NaN	NaN	733.073136	0.707106	NaN	NaN	4.666667	-3190.0	210713.445	39.262648	2.624669	NaN	NaN	NaN	NaN
3	100004	Unaccompanied	0.555912	Laborers	1	67500.0	135000.0	2	1.0	-19046	NaN	1	NaN	NaN	NaN	train	NaN	0.0	NaN	Government	Y	-4260.0	-2531	NaN	NaN	0.010032	NaN	NaN	NaN	Working	0.0	1	NaN	0.0	0.729567	0	Y	NaN	NaN	NaN	Revolving loans	0.0	0.0	0.0	Single / not married	NaN	NaN	-815.0	M	NaN	0.0	0	NaN	NaN	9	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	MONDAY	0	0.0	NaN	House / apartment	NaN	135000.0	0	1	-225	NaN	NaN	NaN	NaN	0.0	NaN	NaN	0	6750.0	NaN	NaN	NaN	NaN	NaN	NaN	2	NaN	Secondary / secondary special	NaN	26.0	1.0	NaN	NaN	NaN	NaN	0.0	NaN	2.0	-714.0	4860.00	NaN	-382.0	1.0	189037.800	459.000000	3.0	3.750000	0.000000	10573.965	365243.0	NaN	Consumer loans	NaN	NaN	0.0	0.0	currency 1	0.471405	-682.0	-754.000000	1.0	94518.900000	0.0	NaN	0.071892	1.0	NaN	NaN	NaN	30.000000	NaN	Mobile	-25.500000	0.00000	-382.0	1.0	Closed	NaN	0.0	NaN	NaN	NaN	5357.250	NaN	1.0	0.0	NaN	-488.5	21288.465	30.0	-595.0	0.0	0.0	NaN	NaN	NaN	0.000000	400016.0	NaN	NaN	NaN	10573.965	-727.0	NaN	Y	-1734.0	-724.0	NaN	0.0	NaN	NaN	NaN	NaN	New	NaN	24282.0	0.0	0.000000	0.000000	1.0	30.0	5357.250	XAP	NaN	NaN	-532.000	1.0	NaN	0.000000	1.154841e-12	-714.0	-694.0	0.816497	NaN	NaN	0.0	-1.154701	0.000000	2.0	-1326.0	-1065.0	5.0	0.000000	0.0	3.0	24282.00	365243.0	NaN	NaN	0.000000	1.0	20106.0	4.0	NaN	0.000000	-694.0	1.0	-1064.0	NaN	-714.0	7096.155000	-815.0	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	FRIDAY	1.0	0.0	0.0	0.0	94537.8	NaN	-977.0	NaN	1.118034	27.776889	4.0	NaN	-724.0	Cash through the bank	2459.183035	0.000000	-724.000000	0.000000	1.0	0.707107	NaN	NaN	1.0	NaN	-2285.0	NaN	0.212008	0.000000	NaN	XNA	2.250000	0.000000	4.0	NaN	0.0	365243.0	0.000000	NaN	NaN	NaN	-784.0	100004.0	NaN	0.707107	2.0	4.000000	NaN	NaN	Active	5.000000	24282.0	150.500000	0.000	NaN	POS mobile without interest	NaN	NaN	24282.00	NaN	24.494897	NaN	0.000000	NaN	0.0	0.000000	1.0	100004.0	6.0	-694.000000	2.000000	100004.0	POS	-694.0	NaN	-784.0	-815.0	0.0	NaN	2459.183035	24282.00	0.000000	-784.0	0.000	NaN	0.000	NaN	-102.0	0.0	0.000000	NaN	0.0	-784.000000	NaN	0.0	100004.0	0.000	NaN	NaN	-795.0	NaN	NaN	NaN	NaN	Regional / Local	-815.0	5357.250	0.000000	-382.0	NaN	100004.0	NaN	-815.000000	0.000000	0.000000	NaN	NaN	NaN	0.433013	1.0	0.0	0.0	NaN	1.0	NaN	0.707107	9.0	NaN	0.000000	0.000000	NaN	5357.250	5.0	NaN	0.000000	-0.434651	0.000000	NaN	0.0	XAP	18.900000	0.000000	NaN	4.0	NaN	NaN	106.500000	NaN	0.0	NaN	NaN	NaN	NaN	NaN	Approved	NaN	NaN	NaN	-724.0	15.0	0.000000	1.0	0.000000	0.212008	1.0	4.0	NaN	NaN	0.0	4860.00	24282.00	NaN	1.0	24282.00	NaN	0.000000	-24.0	30.0	NaN	0.000	NaN	NaN	NaN	5.0	NaN	0.00	NaN	NaN	NaN	NaN	300012.0	0.000000	0.0	0.212008	NaN	4860.00	1.0	21288.465	0.0	0.0	NaN	4.0	NaN	NaN	NaN	NaN	-27.0	4.0	NaN	5357.250	NaN	NaN	NaN	1.0	NaN	100004.0	-532.500000	NaN	...	NaN	NaN	NaN	NaN	NaN	3.0	NaN	-761.666667	5357.250	0.0	NaN	NaN	-754.0	0.000000	NaN	0.707107	NaN	0.000000	NaN	NaN	0.000000	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	15.0	3.0	NaN	0.0	2.250000	1.333333	NaN	NaN	1.118034	NaN	NaN	NaN	NaN	NaN	0.0	-25.5	0.000000	0.000000	NaN	NaN	7096.155000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.00000	NaN	NaN	NaN	0.000000	NaN	NaN	21288.465	0.000000	NaN	0.0	NaN	NaN	NaN	NaN	NaN	0.0	0.000000	NaN	2.0	4.0	0.000000	NaN	NaN	0.000000	-784.0	NaN	0.000000	-27.000000	NaN	27.776889	0.000000	0.707107	NaN	NaN	1.479020	NaN	NaN	NaN	NaN	NaN	300012.0	NaN	-724.0	NaN	4.000000	NaN	0.000000	NaN	NaN	NaN	NaN	-795.000000	0.707107	3.0	NaN	NaN	NaN	NaN	4.0	NaN	0.0	NaN	NaN	0.000000	NaN	-0.434651	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.479020	21288.465	NaN	0.071892	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27.776889	9.0	NaN	0.000000	NaN	NaN	0.000000	0.000000	NaN	NaN	NaN	0.000000	NaN	NaN	NaN	-0.434651	NaN	NaN	1.0	NaN	NaN	0.000000	NaN	-27.0	0.000000	NaN	NaN	NaN	-25.5	NaN	2459.183035	0.000000	NaN	NaN	NaN	NaN	5357.250	NaN	NaN	0.433013	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000000	1.479020	5357.250	NaN	NaN	NaN	NaN	NaN	2.000000	NaN	NaN	NaN	-25.5	NaN	NaN	NaN	0.0	0.000000	NaN	0.000000	2459.183035	NaN	NaN	300012.0	NaN	NaN	NaN	0.000000	NaN	0.000000	NaN	NaN	0.000000	10573.965	0.000000	2.0	7096.155000	NaN	NaN	NaN	NaN	4.0	0.000000	NaN	NaN	3.750000	NaN	NaN	-795.0	0.471405	NaN	100004.0	-0.434651	-24.0	NaN	NaN	NaN	NaN	2.000000	NaN	NaN	0.0	NaN	NaN	NaN	NaN	NaN	-724.000000	-784.000000	NaN	NaN	NaN	0.0	NaN	0.000000	7096.155000	NaN	NaN	NaN	NaN	4.0	NaN	NaN	NaN	NaN	NaN	0.000000	NaN	-2262.000000	0.0	0.000000	0.0	NaN	NaN	NaN	NaN	0.000000	NaN	3.750000	NaN	NaN	NaN	-761.666667	NaN	-754.0	NaN	0.000000	0.0	5357.250	NaN	NaN	NaN	NaN	NaN	0.000000	NaN	0.000000	0.707107	NaN	100004.0	-754.000000	NaN	NaN	NaN	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	0.0	NaN	-2262.0	0.0	NaN	100004.0	NaN	NaN	NaN	-25.500000	NaN	NaN	0.0	NaN	0.000000	0.071892	9.000000	NaN	NaN	NaN	3.750000	100004.0	NaN	100004.0	6.000000	4.0	NaN	0.000000	NaN	-2285.0	0.000000	NaN	NaN	NaN	NaN	NaN	100004.0	NaN	10573.965	NaN	0.000000	NaN	NaN	NaN	NaN	NaN	3.000120e+05	NaN	0.816497	0.000000	NaN	2459.183035	100004.0	NaN	0.000000	NaN	2459.183035	NaN	0.000000	21288.465	NaN	0.471405	0.0	NaN	NaN	NaN	5357.250	0.0	NaN	0.00	NaN	NaN	NaN	0.000000	NaN	15.0	NaN	NaN	0.000000	0.0	NaN	2.459183e+03	0.000000	NaN	NaN	NaN	NaN	0.000000	0.000000	NaN	NaN	2.000000	-727.0	10573.965	0.000000	0.000000	NaN	NaN	NaN	NaN
5	100006	Unaccompanied	0.650442	Laborers	0	135000.0	312682.5	2	2.0	-19005	NaN	0	NaN	NaN	NaN	train	NaN	NaN	NaN	Business Entity Type 3	Y	-9833.0	-2437	NaN	NaN	0.008019	NaN	NaN	NaN	Working	NaN	1	NaN	0.0	NaN	0	N	NaN	NaN	NaN	Cash loans	0.0	NaN	NaN	Civil marriage	NaN	NaN	-617.0	F	NaN	NaN	0	NaN	NaN	17	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	WEDNESDAY	1	2.0	NaN	House / apartment	NaN	297000.0	0	1	-3039	NaN	NaN	NaN	NaN	2.0	NaN	NaN	0	29686.5	NaN	NaN	NaN	NaN	NaN	NaN	2	NaN	Secondary / secondary special	NaN	NaN	2.0	0.0	NaN	0.0	0.0	NaN	0.0	3.0	365243.0	34840.17	0.0	NaN	NaN	NaN	NaN	1.0	12.000000	314273.472053	691786.890	1460972.0	0.0	Cash loans	0.0	NaN	0.0	NaN	NaN	0.330719	NaN	-252.250000	3.0	NaN	NaN	NaN	-0.458216	1.0	NaN	0.0	0.0	894.222222	0.0	XNA	-9.619048	NaN	NaN	3.0	NaN	0.0	NaN	0.0	0.0	0.0	2482.920	0.0	9.0	NaN	0.0	NaN	1007153.415	8048.0	NaN	NaN	NaN	NaN	-21.0	0.0	0.000000	2100126.0	NaN	NaN	0.0	691786.890	-12.0	-3.5	Y	NaN	729910.0	0.0	NaN	NaN	NaN	100006.0	0.0	Repeater	1.707825	688500.0	NaN	NaN	-0.326611	NaN	8025.0	2482.920	XAP	0.0	NaN	NaN	3.0	0.0	NaN	NaN	729927.0	365243.0	2.805547	0.0	NaN	NaN	NaN	NaN	0.0	NaN	NaN	12.0	NaN	NaN	10.0	2449829.34	365243.0	NaN	0.0	0.499166	2.0	906615.0	0.0	0.0	231568.518206	366336.0	1.0	NaN	-6.0	-416.0	62947.088438	-181.0	NaN	1.0	0.0	NaN	0.0	0.0	NaN	0.0	THURSDAY	1.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	5.931965	191.756967	21.0	0.0	365243.0	XNA	162759.824909	158295.939736	182477.500000	-2.474874	4.0	3.584555	NaN	0.0	1.0	0.0	-4346.0	100006.0	0.163412	0.942809	0.0	XNA	8.650000	NaN	48.0	NaN	NaN	365243.0	NaN	0.0	NaN	100006.0	364266.0	100006.0	0.0	3.584555	2.0	23.000000	0.0	0.0	Active	14.666667	0.0	NaN	NaN	0.0	Cash	0.0	0.0	26912.34	NaN	172.709112	NaN	2.474804	0.0	NaN	NaN	2.0	100006.0	71.0	91584.000000	4.437500	100006.0	Cash	-215.0	NaN	365243.0	-617.0	NaN	NaN	162759.824909	408304.89	18.466185	-545.0	NaN	0.0	NaN	NaN	-202.0	NaN	NaN	0.0	6.0	91066.500000	0.0	NaN	100006.0	NaN	NaN	0.0	-575.0	NaN	NaN	NaN	0.0	Credit and cash offices	-2452.0	2482.920	269808.499607	NaN	NaN	100006.0	0.0	-272.444444	-0.395842	NaN	0.0	NaN	0.0	9.044335	2.0	NaN	NaN	NaN	4.0	0.0	2.267787	173.0	NaN	182765.525674	2521.129190	0.0	23651.175	15.0	NaN	NaN	NaN	NaN	NaN	NaN	XNA	NaN	0.387718	0.0	48.0	0.0	0.0	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	Approved	0.0	NaN	0.0	-425.0	240.0	0.723267	3.0	0.000000	0.326824	2.0	138.0	1.0	NaN	NaN	2693.34	272203.26	0.0	2.0	2449829.34	0.0	0.054418	-1.0	-1.0	NaN	NaN	NaN	1620000.0	0.0	132.0	NaN	32146.83	NaN	NaN	270000.0	0.0	1600096.0	NaN	NaN	0.217830	270000.0	69680.34	9.0	1007153.415	NaN	NaN	0.0	48.0	0.0	0.0	NaN	0.0	-20.0	18.0	0.0	39954.510	NaN	600036.0	0.0	NaN	270000.0	100006.0	NaN	0.0	...	NaN	0.0	0.0	0.0	NaN	12.0	NaN	-150.500000	691786.890	1.0	0.0	0.0	-146.0	NaN	0.0	1.500000	0.0	5.887841	NaN	0.0	0.707107	3.711843	270000.0	0.0	NaN	0.0	270000.0	NaN	120.0	10.0	0.0	100006.0	10.214286	4.200000	270000.0	100006.0	1.993355	0.0	NaN	0.0	100006.0	0.0	100006.0	-5.0	22.881336	0.707107	NaN	NaN	725832.675000	NaN	0.0	NaN	0.0	NaN	NaN	NaN	NaN	0.0	9.50000	NaN	NaN	NaN	NaN	NaN	NaN	25091.325	0.000000	0.0	NaN	NaN	NaN	NaN	0.0	0.0	NaN	NaN	0.0	5.5	12.0	0.000000	0.0	0.0	NaN	-151.0	NaN	0.471405	-12.000000	0.0	137.695775	16.970563	1.500000	0.0	0.0	22.627417	NaN	-3.5	0.0	NaN	NaN	100006.0	100006.0	-587.0	0.0	6.000000	0.0	NaN	0.0	0.0	NaN	NaN	-344.666667	1.500000	1.0	0.0	0.0	NaN	0.0	72.0	0.0	-1.0	0.0	0.0	NaN	0.0	0.353553	NaN	NaN	0.0	0.0	0.0	0.0	-6.0	0.0	NaN	2.872281	335717.805	0.0	1.202218	315747.214144	0.0	1.707825	NaN	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	45.898592	75.0	0.0	NaN	NaN	0.0	NaN	NaN	NaN	0.0	NaN	48.554666	600036.0	0.0	0.0	0.000000	NaN	0.0	3.0	0.0	0.0	0.816497	NaN	-36.0	NaN	0.0	100006.0	100006.0	-16.5	NaN	5070.690000	175.567651	0.0	0.0	NaN	0.0	723297.330	-21.0	NaN	25.318290	NaN	0.0	0.0	NaN	NaN	NaN	1.0	NaN	NaN	10.057559	691786.890	NaN	NaN	0.0	0.0	NaN	1.666667	NaN	NaN	NaN	-27.0	NaN	NaN	0.0	270000.0	NaN	0.0	318237.781669	5070.690000	NaN	0.0	1000060.0	NaN	0.0	0.0	NaN	NaN	NaN	0.0	NaN	171.940558	735974.055	NaN	1.0	725832.675000	0.0	NaN	NaN	0.0	24.0	NaN	NaN	NaN	38.666667	0.0	0.0	-174.0	0.133333	NaN	300018.0	0.707107	-18.0	NaN	NaN	0.0	NaN	2.000000	NaN	0.0	NaN	0.0	0.0	0.0	NaN	0.0	-195.666667	-325.666667	0.0	0.0	NaN	NaN	0.0	3.292341	241944.225000	0.0	0.0	NaN	NaN	10.0	1620000.0	1620000.0	NaN	NaN	NaN	1.000000	NaN	-1345.333333	NaN	0.353553	NaN	NaN	0.0	0.0	0.0	NaN	-21.0	12.888889	0.0	NaN	NaN	-857.900000	NaN	-485.0	NaN	5.307228	NaN	241099.110	0.0	NaN	0.0	0.0	NaN	NaN	0.0	0.432049	1.500000	0.0	100006.0	-782.000000	NaN	600036.0	0.0	NaN	0.0	NaN	3.0	0.0	NaN	NaN	0.0	NaN	NaN	-2425.0	NaN	NaN	100006.0	0.0	0.0	NaN	-9.000000	NaN	0.0	NaN	NaN	318868.583409	0.419264	57.666667	NaN	NaN	0.0	16.666667	300018.0	NaN	100006.0	23.666667	10.0	NaN	274067.530437	NaN	-174.0	1018.542204	0.0	0.0	0.0	0.0	NaN	300018.0	0.0	15159.645	NaN	318868.583409	0.0	NaN	0.0	0.0	NaN	5.333653e+05	0.0	0.000000	NaN	NaN	1690.230000	100006.0	0.0	NaN	0.0	5070.690000	0.0	0.000000	25091.325	NaN	0.400000	NaN	NaN	-1.0	0.0	241099.110	NaN	0.0	NaN	0.0	0.0	0.0	NaN	-6.0	50.0	0.0	0.0	0.000000	NaN	NaN	0.000000e+00	NaN	0.0	NaN	NaN	0.0	163.921390	NaN	0.0	-1.0	3.166667	-624.0	245324.685	29.439203	4.546061	NaN	NaN	NaN	NaN
6	100007	Unaccompanied	0.322738	Core staff	0	121500.0	513000.0	2	1.0	-19932	NaN	0	NaN	NaN	NaN	train	NaN	0.0	NaN	Religion	Y	-4311.0	-3458	NaN	NaN	0.028663	NaN	NaN	NaN	Working	0.0	1	NaN	0.0	NaN	1	N	NaN	NaN	NaN	Cash loans	0.0	0.0	0.0	Single / not married	NaN	NaN	-1106.0	M	NaN	0.0	1	NaN	NaN	11	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	THURSDAY	0	0.0	NaN	House / apartment	NaN	513000.0	1	1	-3038	NaN	NaN	NaN	NaN	0.0	NaN	NaN	0	21865.5	NaN	NaN	NaN	NaN	NaN	NaN	2	NaN	Secondary / secondary special	NaN	NaN	2.0	NaN	NaN	NaN	NaN	0.0	NaN	3.0	365243.0	3390.75	NaN	-783.0	1.0	146250.000	0.000000	10.0	15.333333	107748.355342	22678.785	1826215.0	NaN	Cash loans	NaN	NaN	0.0	0.0	currency 1	0.372678	-783.0	-1028.606061	2.0	146250.000000	0.0	NaN	-0.409695	1.0	NaN	NaN	NaN	409.166667	NaN	XNA	-33.636364	0.00000	-783.0	2.0	Closed	NaN	0.0	NaN	NaN	NaN	1821.780	NaN	6.0	0.0	NaN	-783.0	806127.975	2455.0	-783.0	0.0	0.0	NaN	NaN	NaN	0.600000	6600462.0	NaN	NaN	NaN	22678.785	-14.0	NaN	Y	-1149.0	360681.0	NaN	0.0	NaN	NaN	NaN	NaN	Repeater	NaN	247500.0	0.0	NaN	-0.486467	1.0	1200.0	0.180	XAP	NaN	NaN	-783.000	1.0	NaN	0.000000	0.000000e+00	360719.0	346.0	4.061765	NaN	NaN	0.0	0.731859	NaN	1.0	-1149.0	-783.0	8.0	0.000000	0.0	17.0	903181.50	365243.0	NaN	NaN	0.298123	3.0	284400.0	10.0	NaN	91822.024579	-4186.0	1.0	-783.0	NaN	-2041.0	12214.060227	-374.0	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	SUNDAY	1.0	0.0	0.0	0.0	146250.0	NaN	-783.0	NaN	22.417280	674.488674	66.0	NaN	365243.0	Cash through the bank	7793.191851	695.308392	72136.200000	-0.831741	2.0	-0.256847	NaN	NaN	1.0	NaN	-68128.0	NaN	0.159516	2.285218	NaN	x-sell	8.969697	NaN	48.0	NaN	0.0	365243.0	NaN	NaN	NaN	NaN	-6316.0	100007.0	NaN	-0.280331	2.0	20.666667	NaN	NaN	Active	12.333333	17176.5	0.000000	0.000	NaN	Cash X-Sell: middle	NaN	NaN	17176.50	NaN	676.940172	NaN	0.703651	NaN	0.0	-0.557208	2.0	100007.0	465.0	-837.200000	7.045455	100007.0	Cash	-2056.0	NaN	-344.0	-2357.0	0.0	NaN	7986.858005	150530.25	13.097922	-2326.0	0.000	NaN	0.000	NaN	-2220.0	0.0	0.000000	NaN	0.0	-1263.200000	NaN	0.0	100007.0	0.000	NaN	NaN	-2318.0	NaN	NaN	NaN	NaN	Country-wide	-7337.0	1834.290	91822.024579	-783.0	NaN	100007.0	NaN	-1222.833333	-0.420052	-0.225078	NaN	NaN	NaN	4.847159	2.0	NaN	0.0	NaN	5.0	NaN	1.788854	592.0	NaN	146554.548275	559.512114	NaN	12278.805	15.0	NaN	1.329431	0.573185	0.000000	NaN	NaN	XNA	0.000000	-0.557208	NaN	24.0	NaN	NaN	0.000000	NaN	0.0	NaN	NaN	NaN	NaN	NaN	Approved	NaN	NaN	NaN	-2056.0	1012.0	-0.403068	3.0	0.489898	0.319033	1.0	124.0	NaN	NaN	0.0	3105.00	150530.25	NaN	2.0	903181.50	NaN	0.059373	-1.0	-1.0	NaN	0.000	NaN	NaN	NaN	74.0	NaN	285.75	NaN	NaN	NaN	NaN	6600462.0	0.000000	0.0	0.218890	NaN	6781.50	6.0	835985.340	NaN	0.0	NaN	24.0	NaN	NaN	0.0	NaN	-77.0	77.0	NaN	22678.785	NaN	NaN	NaN	1.0	NaN	100007.0	-783.000000	NaN	...	NaN	NaN	NaN	NaN	NaN	24.0	NaN	-181.250000	16046.100	0.0	NaN	NaN	-179.0	NaN	NaN	-1.000000	NaN	22.859571	NaN	NaN	0.949040	5.477226	NaN	NaN	NaN	NaN	NaN	NaN	312.0	17.0	NaN	0.0	8.966667	5.647059	NaN	NaN	3.799155	NaN	NaN	NaN	NaN	NaN	0.0	-6.5	33.208433	0.246183	NaN	NaN	58357.701052	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	34.21978	NaN	NaN	NaN	NaN	NaN	NaN	18330.390	-0.135901	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	9.0	10.0	0.101212	NaN	NaN	NaN	-344.0	NaN	0.400000	-42.200000	NaN	553.452207	5.153639	-12.633335	NaN	NaN	5.580223	NaN	NaN	NaN	NaN	NaN	1000070.0	NaN	-4576.0	NaN	15.400000	NaN	NaN	NaN	NaN	NaN	NaN	-1270.400000	0.000000	10.0	NaN	NaN	NaN	NaN	76.0	NaN	0.0	NaN	NaN	NaN	NaN	0.016199	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.872281	167197.068	NaN	0.088724	8055.604613	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	110.690441	222.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	235.926260	NaN	NaN	NaN	0.000000	NaN	NaN	5.0	NaN	NaN	0.748331	NaN	-211.0	NaN	NaN	NaN	NaN	-72.5	NaN	6032.452630	727.159845	NaN	NaN	NaN	NaN	59968.260	NaN	NaN	0.471405	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.877574	22485.690	NaN	NaN	NaN	NaN	NaN	1.200000	NaN	NaN	NaN	-180.5	NaN	NaN	NaN	0.0	NaN	NaN	8049.817518	109.058824	NaN	NaN	1700119.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	734.580806	60661.845	NaN	1.0	60614.978690	NaN	NaN	NaN	NaN	15.2	NaN	NaN	NaN	75.333333	NaN	NaN	-348.0	0.095577	NaN	500035.0	0.080996	-150.0	NaN	NaN	NaN	NaN	1.800000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	-915.200000	-1263.200000	NaN	NaN	NaN	NaN	NaN	5.354126	12122.995738	NaN	NaN	NaN	NaN	28.0	NaN	NaN	NaN	NaN	NaN	2.800000	NaN	-13577.600000	NaN	0.282843	0.0	NaN	NaN	NaN	NaN	NaN	NaN	15.066667	NaN	NaN	NaN	-5453.842696	NaN	-2191.0	NaN	23.523180	NaN	6785.766	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.258824	-12.632827	NaN	100007.0	-5439.406593	NaN	NaN	NaN	NaN	NaN	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	-21910.0	NaN	NaN	100007.0	NaN	NaN	NaN	-36.100000	NaN	NaN	NaN	NaN	7586.429178	-0.032159	118.400000	NaN	NaN	NaN	24.000000	500035.0	NaN	100007.0	93.000000	18.0	NaN	111122.311116	NaN	-2175.0	7478.981551	NaN	NaN	NaN	NaN	NaN	500035.0	NaN	1834.290	NaN	7964.486228	NaN	NaN	NaN	NaN	NaN	1.320092e+06	NaN	2.872281	0.000000	NaN	1480.828262	100007.0	NaN	NaN	NaN	172.831939	NaN	0.083177	18330.390	NaN	0.477885	NaN	NaN	NaN	NaN	11993.652	NaN	NaN	0.00	NaN	NaN	NaN	NaN	NaN	100.0	NaN	NaN	-0.219077	NaN	NaN	5.456968e-12	NaN	NaN	NaN	NaN	NaN	695.308392	NaN	NaN	NaN	6.843956	-4587.0	12132.369	82.621063	5.059644	NaN	NaN	NaN	NaN

5 rows × 1698 columns

def kde_target_plot(df, feature):
    df = df.reset_index()
    plt.figure(figsize=(10, 6))
    plt.style.use("fivethirtyeight")
    
    sns.kdeplot(df.loc[df["TARGET"] == 0, feature], label="target == 0")
    sns.kdeplot(df.loc[df["TARGET"] == 1, feature], label="target == 1")
    
    plt.title('Distribution of Feature by Target Value')
    plt.xlabel('%s' % feature); plt.ylabel('Density');
    plt.show()

kde_target_plot(features_sample, feature = 'MAX(previous_app.MEAN(credit.CNT_DRAWINGS_ATM_CURRENT))')

png

이 feature과 target 간의 상관 관계는 매우 약하며 noise일 수 있습니다. 이 feature을 해석하는 것은 어렵지만, 추측으로는 previous 신용 카드 대출에 대한 고객의 월 평균 atm 인출 횟수의 최대값입니다. (현재는 feature의 샘플만을 사용하고 있으므로 이것이 전체 데이터 세트를 대표하지 않을 수 있습니다).

조사해야 할 또 다른 영역은 collinear features로 알려진 높은 상관관계의 features입니다. correlated feateures 쌍을 찾고 , 상관관계가 threshold 이상인 features를 제거할 수 있습니다.

Collinear Features

threshold = 0.9
correlated_pairs = {}

for col in correlations:
    above_threshold_vars = [x for x in list(correlations.index[correlations[col] > threshold])
                            if x != col]
    correlated_pairs[col] = above_threshold_vars

correlated_pairs['MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)']

['MEAN(credit.AMT_PAYMENT_CURRENT)',
 'MIN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))',
 'MEAN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))',
 'SUM(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))',
 'MIN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))',
 'MEAN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))',
 'MAX(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))',
 'MAX(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))',
 'SUM(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))']

correlations['MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)'].sort_values(ascending=False).head()

Variable
MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)                       1.000000
MEAN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))    0.999382
MIN(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))     0.999024
MAX(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))     0.995957
SUM(previous_app.MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT))     0.995484
Name: MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT), dtype: float64

plt.plot(features_sample['MEAN(credit.AMT_PAYMENT_TOTAL_CURRENT)'], 
         features_sample['MEAN(previous_app.MEAN(credit.AMT_PAYMENT_CURRENT))'], 'bo')

plt.title('Highly Correlated Features')

Text(0.5, 1.0, 'Highly Correlated Features')

png

이러한 변수는 모두 거의 완벽하게 양의 linear인 서로 0.99의 상관 관계를 갖습니다. 중복 정보를 인코딩하므로 모델에 모두 포함할 필요가 없습니다. 모델이 더 잘 학습하고 일반화하는 데 도움이 되도록 이러한 상관관계가 높은 변수 중 일부를 제거하고 싶을 것입니다.

Feature Importances

트리 기반 모델에서 반환된 feature importances는 모델에 해당 feature을 포함함으로써 발생하는 불순물의 감소를 나타냅니다. 중요도의 절대값을 해석하기 어려울 수 있지만, 중요도의 상대값을 보면 feature의 관련성을 비교할 수 있습니다. feature importances에 너무 많은 value를 부여하는 것에 대해 주의를 기울이고 싶지만, 이는 차원 축소 및 모델 이해에 유용한 방법이 될 수 있습니다.

# Feature importances returned by a gradient boosting machine (using LightGBM) 
# for the features in feature_matrix_spec.csv
fi = pd.read_csv('./home_credit/spec_feature_importances_ohe.csv', 
                 index_col=0)
fi = fi.sort_values("importance", ascending=False)

fi.head(15)

	feature	importance
13	EXT_SOURCE_1	357.6
14	EXT_SOURCE_3	311.6
58	EXT_SOURCE_2	307.0
31	DAYS_BIRTH	228.6
55	AMT_CREDIT	204.4
91	AMT_ANNUITY	195.2
69	DAYS_EMPLOYED	150.2
10	AMT_GOODS_PRICE	144.2
186	MAX(bureau.DAYS_CREDIT)	138.8
42	DAYS_ID_PUBLISH	122.8
115	MAX(bureau.DAYS_CREDIT_ENDDATE)	121.8
62	OWN_CAR_AGE	104.0
518	SUM(previous_app.MIN(installments.AMT_PAYMENT))	101.8
196	MAX(bureau.DAYS_ENDDATE_FACT)	99.6
669	MEAN(previous_app.MIN(installments.AMT_PAYMENT))	99.0

featuretools에 의해 생성된 가장 중요한 feature은 고객이 다른 기관에서 대출을 신청한 current application까지의 최대 일수였습니다. (이 feature은 원래 음수로 기록되었으므로 최대값은 0에 가장 가깝습니다)

kde_target_plot(features_sample, feature='MAX(bureau.DAYS_CREDIT)')

png

우리는 featuretools에 의해 만들어진 상위 100개 feature의 수를 계산할 수 있습니다.

original_features = list(pd.get_dummies(app).columns)

created_features = []

for feature in fi["feature"][:100]:
    if feature not in original_features:
        created_features.append(feature)
        
print('%d of the top 100 features were made by featuretools' 
       % len(created_features))

78 of the top 100 features were made by featuretools

가장 중요한 15가지 features를 시각화하는 짧은 함수를 작성해 보겠습니다.

import matplotlib.pyplot as plt
plt.rcParams["font.size"] = 22

def plot_feature_importances(df):
    df = df.sort_values("importance", ascending=False).reset_index()
    df["importance_normalized"] = df["importance"] / df["importance"].sum()
    
    plt.figure(figsize=(14, 10))
    ax = plt.subplot()
    
    ax.barh(list(reversed(list(df.index[:15]))),
            df["importance_normalized"].head(15),
            align="center", edgecolor="k")
    
    ax.set_yticks(list(reversed(list(df.index[:15]))))
    ax.set_yticklabels(df["feature"].head(15))
    
    plt.xlabel('Normalized Importance'); plt.title('Feature Importances')
    plt.show()
    
    return df

fi = plot_feature_importances(fi)

png

featuretools가 만든 가장 중요한 feature은 MAX(bureau.DAYS_CREDIT)였습니다. DAYS_CREDIT는 신청자가 다른 신용 기관에서 대출을 신청한 현재 Home Credit 신청 이전의 일 수를 나타냅니다. 따라서 이 값의 최대값(이전 대출 대비)이 이 feature로 표시됩니다. 또한 MEAN(previous_app.MIN(installments.AMT_PAYMENT))과 같이 깊이가 2인 몇 가지 중요한 feature이 있습니다. MEAN(previous_app.MIN(installments.AMT_PAYMENT))은 이전 신용 신청 할부 지불의 최소 가치에 대한 고객의 대출 평균입니다.

Feature importances는 차원 축소에 사용할 수 있습니다. 또한 문제를 더 잘 이해하는 데 도움이 될 수 있습니다. 예를 들어, 잠재적 대출을 평가할 때 클라이언트의 이러한 측면에 집중하기 위해 가장 중요한 features를 사용할 수 있습니다. featureset에서 제거할 수 있는 중요도가 0인 feature의 수를 살펴보겠습니다.

print('There are %d features with 0 importance' % sum(fi['importance'] == 0.0))

There are 237 features with 0 importance

Remove Low Importance Features

Feature selection에서 우리가 할 수 있는 한 가지는 unique 값이 하나만 있거나 모두 null인 features를 제거하는 것입니다. Featuretools에는 selection 모듈에서 사용할 수 있는 default 방법이 있습니다.

from featuretools import selection

# unique 값이 하나이거나 모든 값이 null인 features 제거
feature_matrix2 = selection.remove_low_information_features(feature_matrix)

print('Removed %d features' % (feature_matrix.shape[1]- feature_matrix2.shape[1]))

Removed 369 features

Align Train and Test Sets

우리는 또한 train과 test 세트가 정확히 동일한 features를 갖도록 하고 싶습니다. 먼저 데이터를 원-핫 인코딩(모델에 대해 이 작업을 수행해야 함)한 다음 칼럼에 데이터 프레임을 align할 수 있습니다.

train = feature_matrix2[feature_matrix2["set"] == "train"]
test = feature_matrix2[feature_matrix2["set"] == "test"]

train = pd.get_dummies(train)
test = pd.get_dummies(test)

train, test = train.align(test, join="inner", axis=1)
test = test.drop(columns=["TARGET"])

print('Final Training Shape: ', train.shape)
print('Final Testing Shape: ', test.shape)

Final Training Shape:  (1001, 2156)
Final Testing Shape:  (1001, 2155)

The low information features를 제거하고 데이터 프레임을 align하면 2155개의 features가 남게 됩니다. feature selection은 featuretools를 사용할 때 확실히 중요한 역할을 합니다.

Conclusions

이 노트북에서 우리는 Home Credit Default Risk 데이터 세트에 대한 featuretools와 함께 automated feature engineering을 사용하는 기본 구현을 살펴보았습니다. 여기서는 featuretools의 고급 기능을 사용하지 않았지만 cross validation 및 테스트 세트에서 모델의 성능을 향상시키는 유용한 features를 만들 수 있었습니다. 또한, automated feature engineering은 유사한 결과를 제공하면서 manual feature engineering에 소요되는 시간의 일부만 사용했습니다.

featuretools의 기본 featuretools도 10% 미만의 시간으로 hand-engineered features와 유사한 성능을 달성할 수 있었습니다.

Appendix: GBM Model (Used Across Feature Sets)

def model(features, test_features, encoding='ohe', n_folds=5):
    train_ids = features['SK_ID_CURR']
    test_ids = test_features['SK_ID_CURR']

    labels = features['TARGET']

    features = features.drop(columns=['SK_ID_CURR', 'TARGET'])
    test_features = test_features.drop(columns=['SK_ID_CURR'])


    # One Hot Encoding
    if encoding == 'ohe':
        features = pd.get_dummies(features)
        test_features = pd.get_dummies(test_features)

        features, test_features = features.align(test_features, join='inner', axis=1)

        # No categorical indices to record
        cat_indices = 'auto'

    # Integer label encoding
    elif encoding == 'le':

        label_encoder = LabelEncoder()

        cat_indices = []

        for i, col in enumerate(features):
            if features[col].dtype == 'object':
                features[col] = label_encoder.fit_transform(np.array(features[col].astype(str)).reshape((-1,)))
                test_features[col] = label_encoder.transform(np.array(test_features[col].astype(str)).reshape((-1,)))

                cat_indices.append(i)

    else:
        raise ValueError("Encoding must be either 'ohe' or 'le'")

    print('Training Data Shape: ', features.shape)
    print('Testing Data Shape: ', test_features.shape)

    feature_names = list(features.columns)

    features = np.array(features)
    test_features = np.array(test_features)

    k_fold = StratifiedKFold(n_splits=n_folds, shuffle=True, random_state=50)

    feature_importance_values = np.zeros(len(feature_names))

    test_predictions = np.zeros(test_features.shape[0])

    out_of_fold = np.zeros(features.shape[0])

    valid_scores = []
    train_scores = []

    for train_indices, valid_indices in k_fold.split(features, labels):

        train_features, train_labels = features[train_indices], labels[train_indices]
        valid_features, valid_labels = features[valid_indices], labels[valid_indices]

        model = lgb.LGBMClassifier(n_estimators=10000, boosting_type='goss',
                                   objective='binary', 
                                   class_weight='balanced', learning_rate=0.05, 
                                   reg_alpha=0.1, reg_lambda=0.1, n_job =-1, random_state = 50)

        model.fit(train_features, train_labels, eval_metric = 'auc',
                  eval_set=[(valid_features, valid_labels), (train_features, train_labels)],
                  eval_names=['valid', 'train'], categorical_feature=cat_indices,
                  early_stopping_rounds=100, verbose=200)

        best_iteration = model.best_iteration_

        feature_importance_values += model.feature_importances_ / k_fold.n_splits

        test_predictions += model.predict_proba(test_features, num_iteration=best_iteration)[:, 1] / k_fold.n_splits

        out_of_fold[valid_indices] = model.predict_proba(valid_features, num_iteration=best_iteration)[:, 1]

        valid_score = model.best_score_['valid']['auc']
        train_score = model.best_score_['train']['auc']

        valid_scores.append(valid_score)
        train_scores.append(train_score)

        gc.enable()
        del model, train_features, valid_features
        gc.collect()

    submission = pd.DataFrame({'SK_ID_CURR': test_ids, 'TARGET': test_predictions})

    feature_importances = pd.DataFrame({'feature': feature_names, 'importance': feature_importance_values})

    valid_auc = roc_auc_score(labels, out_of_fold)

    valid_scores.append(valid_auc)
    train_scores.append(np.mean(train_scores))

    fold_names = list(range(n_folds))
    fold_names.append('overall')

    metrics = pd.DataFrame({'fold': fold_names,
                            'train': train_scores,
                            'valid': valid_scores}) 

    return submission, feature_importances, metrics

참고: https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics/notebook

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