Credit_Score_Prediction4_1.json

{"paragraphs":[{"title":"","text":"%md\n### Oracle Machine Learning's(OML) Classficiation 모델을 사용하여 신용도가 높은 고객 타겟팅 하기\n\n해미는 분석을 위해 데이터를 추출하고 준비하는 데 지난 몇 년 동안 대부분의 시간을 보냈습니다. 많은 양의 데이터를 추출하고 처리하는 작업때문에 정작 데이터 분석에 필요한 많은 시간을 낭비하고 있습니다. 다른 클라우드 솔루션은 더욱 복잡하며 데이터를 분석하기위한 직접적인 프로세스를 제공하지 않습니다. 그녀는 오라클을 살펴보기 시작했고 ADWC의 간단한 SQL 명령으로 매우 빠르게 머신러닝 모델링을 할 수 있다는 것을 알게 되었습니다. 일단 그녀가 모델 학습을 끝내면 최종 사용자(또는 분석가)는 즉시 마이닝 결과를 볼 수 있습니다. 따라서 데이터 준비, 분석 및 게시주기가 크게 단축됩니다. \n\nOML을 사용하면서 ADWC 안의 데이터를 사용하여 예측 모델을 생성합니다. 데이터를 이동하지 않고 생성하는 방법을 배웁니다. 작은 100k 데이터 세트부터 1 억 개 또는 10 억 개의 행 데이터 세트를 사용할 수 있습니다.\n\n데이터는 Alpha office의 고객 정보입니다. 먼저 팀 환경에서 대화 형 협업을위한 오픈 소스 인터페이스 인 Apache Zepplin에 익숙해져 봅시다.\n\n### 비즈니스 문제 :\n#### 좋은 신용도의 고객을 대상으로 매출을 늘려봅시다.\n\n해미는 매출을 악화시키는 원인 중 하나가 비적합한 고객에게 오퍼링을 제공하는 것이라고 예상하고 있습니다. 비적합한 고객은 신용이 떨어지거나 구매 대금을 지불하지 않은 고객을 의미합니다. 해미는 고려해야 할 100 가지 이상의 변수를 가지고 있으므로 간단한 차트와 그래프를 사용하여 데이터를 탐색하고자 합니다. Oracle Machine Learning의 강력한 알고리즘을 사용하여 데이터를 자동으로 탐색하여 패턴 및 새로운 통찰력을 찾고 최상의 결과를 예측해 봅시다.","user":"ADWC_WS","dateUpdated":"2019-07-23T11:58:49+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"title":false,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":255.39999999999998},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":396.51,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h3>Oracle Machine Learning's(OML) Classficiation 모델을 사용하여 신용도가 높은 고객 타겟팅 하기</h3>\n<p>해미는 분석을 위해 데이터를 추출하고 준비하는 데 지난 몇 년 동안 대부분의 시간을 보냈습니다. 많은 양의 데이터를 추출하고 처리하는 작업때문에 정작 데이터 분석에 필요한 많은 시간을 낭비하고 있습니다. 다른 클라우드 솔루션은 더욱 복잡하며 데이터를 분석하기위한 직접적인 프로세스를 제공하지 않습니다. 그녀는 오라클을 살펴보기 시작했고 ADWC의 간단한 SQL 명령으로 매우 빠르게 머신러닝 모델링을 할 수 있다는 것을 알게 되었습니다. 일단 그녀가 모델 학습을 끝내면 최종 사용자(또는 분석가)는 즉시 마이닝 결과를 볼 수 있습니다. 따라서 데이터 준비, 분석 및 게시주기가 크게 단축됩니다.</p>\n<p>OML을 사용하면서 ADWC 안의 데이터를 사용하여 예측 모델을 생성합니다. 데이터를 이동하지 않고 생성하는 방법을 배웁니다. 작은 100k 데이터 세트부터 1 억 개 또는 10 억 개의 행 데이터 세트를 사용할 수 있습니다.</p>\n<p>데이터는 Alpha office의 고객 정보입니다. 먼저 팀 환경에서 대화 형 협업을위한 오픈 소스 인터페이스 인 Apache Zepplin에 익숙해져 봅시다.</p>\n<h3>비즈니스 문제 :</h3>\n<h4>좋은 신용도의 고객을 대상으로 매출을 늘려봅시다.</h4>\n<p>해미는 매출을 악화시키는 원인 중 하나가 비적합한 고객에게 오퍼링을 제공하는 것이라고 예상하고 있습니다. 비적합한 고객은 신용이 떨어지거나 구매 대금을 지불하지 않은 고객을 의미합니다. 해미는 고려해야 할 100 가지 이상의 변수를 가지고 있으므로 간단한 차트와 그래프를 사용하여 데이터를 탐색하고자 합니다. Oracle Machine Learning의 강력한 알고리즘을 사용하여 데이터를 자동으로 탐색하여 패턴 및 새로운 통찰력을 찾고 최상의 결과를 예측해 봅시다.</p>\n"}]},"jobName":"paragraph_1563775868170_787648966","id":"20190722-061108_877223013","dateCreated":"2018-02-04T02:47:49+0000","dateStarted":"2019-07-23T11:57:48+0000","dateFinished":"2019-07-23T11:57:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:3183"},{"text":"%md ![tiny arrow](http://www.oracle.com//technetwork/database/options/advanced-analytics/creditscore60-5013102.jpg  \"tiny arrow\") ","user":"ADWC_WS","dateUpdated":"2018-07-12T20:40:56+0000","config":{"colWidth":4,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<p><img src=\"http://www.oracle.com//technetwork/database/options/advanced-analytics/creditscore60-5013102.jpg\" alt=\"tiny arrow\" title=\"tiny arrow\" /></p>\n"}]},"jobName":"paragraph_1563775868170_1068875424","id":"20190722-061108_1441311632","dateCreated":"2018-07-08T20:20:22+0000","dateStarted":"2018-07-12T20:40:21+0000","dateFinished":"2018-07-12T20:40:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3184"},{"text":"%md\n###더 많은 정보는 아래의 링크를 참조하세요\n\n#### Oracle Autonomous Data Warehouse Cloud product information:  \n#####  <https://cloud.oracle.com/en_US/datawarehouse>\n#### Oracle Machine Learning product information:  \n#####  <http://www.oracle.com/technetwork/database/options/oml/overview/index.html>\n#### Getting Started with Oracle Machine Learning Documentation and Quickstart Tutorials: \n#####  <https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/getting-started-oracle-machine-learning1.html#GUID-2AEC56A4-E751-48A3-AAA0-0659EDD639BA>\n#### Oracle Data Mining Basics:\n##### <https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/what-is-data-mining.html#GUID-8232ABAD-E6B9-4C70-B227-E00738040932>\n##### <https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/data-mining-basics.html#GUID-2116E665-721E-4EBA-AFE1-A30D6E8078C6>","user":"ADWC_WS","dateUpdated":"2019-07-23T11:58:45+0000","config":{"tableHide":false,"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h3>더 많은 정보는 아래의 링크를 참조하세요</h3>\n<h4>Oracle Autonomous Data Warehouse Cloud product information:</h4>\n<h5><a href=\"https://cloud.oracle.com/en_US/datawarehouse\">https://cloud.oracle.com/en_US/datawarehouse</a></h5>\n<h4>Oracle Machine Learning product information:</h4>\n<h5><a href=\"http://www.oracle.com/technetwork/database/options/oml/overview/index.html\">http://www.oracle.com/technetwork/database/options/oml/overview/index.html</a></h5>\n<h4>Getting Started with Oracle Machine Learning Documentation and Quickstart Tutorials:</h4>\n<h5><a href=\"https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/getting-started-oracle-machine-learning1.html#GUID-2AEC56A4-E751-48A3-AAA0-0659EDD639BA\">https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/getting-started-oracle-machine-learning1.html#GUID-2AEC56A4-E751-48A3-AAA0-0659EDD639BA</a></h5>\n<h4>Oracle Data Mining Basics:</h4>\n<h5><a href=\"https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/what-is-data-mining.html#GUID-8232ABAD-E6B9-4C70-B227-E00738040932\">https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/what-is-data-mining.html#GUID-8232ABAD-E6B9-4C70-B227-E00738040932</a></h5>\n<h5><a href=\"https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/data-mining-basics.html#GUID-2116E665-721E-4EBA-AFE1-A30D6E8078C6\">https://docs.oracle.com/en/database/oracle/oracle-database/18/dmcon/data-mining-basics.html#GUID-2116E665-721E-4EBA-AFE1-A30D6E8078C6</a></h5>\n"}]},"jobName":"paragraph_1563775868170_-125463865","id":"20190722-061108_526510462","dateCreated":"2018-06-27T21:12:18+0000","dateStarted":"2019-07-23T11:58:42+0000","dateFinished":"2019-07-23T11:58:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3185"},{"text":"%md \n#### **STEP 1: Zepplin Basic 을 살펴봅시다**\n\n- 페이지는 여러개의 paragraph로 이루어집니다. 더 많은 정보는 아파치 제플린 문서를 참조하세요. [Apache Zepplin Documentation](https://zeppelin.apache.org/contribution/documentation.html). paragraph의 맨 위는 코드의 type을 의미하는데 %md는 markdown 문법, %sql은 SQL을 위한 코드, %script는 PL/SQL을 위한 코드를 의미합니다. 오른쪽의 RUN 버튼을 클릭하여 실행하거나 [shift+Enter]를 통해 실행합니다.\n- 참조문서 [Oracle Machine Learning documentation](http://www.oracle.com/technetwork/database/options/oml/overview/index.html )","user":"ADWC_WS","dateUpdated":"2019-07-23T12:02:00+0000","config":{"tableHide":false,"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h4><strong>STEP 1: Zepplin Basic 을 살펴봅시다</strong></h4>\n<ul>\n<li>페이지는 여러개의 paragraph로 이루어집니다. 더 많은 정보는 아파치 제플린 문서를 참조하세요. <a href=\"https://zeppelin.apache.org/contribution/documentation.html\">Apache Zepplin Documentation</a>. paragraph의 맨 위는 코드의 type을 의미하는데 %md는 markdown 문법, %sql은 SQL을 위한 코드, %script는 PL/SQL을 위한 코드를 의미합니다. 오른쪽의 RUN 버튼을 클릭하여 실행하거나 [shift+Enter]를 통해 실행합니다.</li>\n<li>참조문서 <a href=\"http://www.oracle.com/technetwork/database/options/oml/overview/index.html\">Oracle Machine Learning documentation</a></li>\n</ul>\n"}]},"jobName":"paragraph_1563775868170_-642769843","id":"20190722-061108_1900118622","dateCreated":"2018-07-11T15:51:46+0000","dateStarted":"2019-07-23T12:01:59+0000","dateFinished":"2019-07-23T12:01:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3186"},{"title":"STEP 2:  데이터 준비하기","text":"%script\n\n/* run 버튼을 클릭해서 실행하거나 [shift + Enter] 단축키를 사용하여 실행합니다.*/\n\nBEGIN\n\nexecute immediate 'create or replace view credit_scoring_100k_v as select * from admin.credit_scoring_100k';\n\nexecute immediate 'create or replace view credit_scoring_new_cust_v as select * from admin.credit_scoring_100k sample (10)';\n\nend;\n","user":"ADWC_WS","dateUpdated":"2019-07-22T06:47:08+0000","config":{"colWidth":12,"editorMode":"ace/mode/plsql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1563775868170_1806364359","id":"20190722-061108_253051495","dateCreated":"2018-07-11T19:55:56+0000","dateStarted":"2019-07-22T06:47:08+0000","dateFinished":"2019-07-22T06:47:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3187"},{"text":"%script\nselect * from tab;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:24:48+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"TNAME                                   TABTYPE   CLUSTERID   \nCREDIT_SCORING_100K_V                   VIEW                  \nCREDIT_SCORING_NEW_CUST_V               VIEW                  \nMINING_DATA_BIN_VIEW                    VIEW                  \nBIN$jlAF7bAArEDgUwgQAApWrw==$0          TABLE                 \nBIN_NUM_TBL                             TABLE                 \nBIN$jlAF7bAZrEDgUwgQAApWrw==$0          TABLE                 \nAI_EXPLAIN_OUTPUT_CREDIT_SCORE_BIN      TABLE                 \nAI_EXPLAIN_OUTPUT_MAX_CC_SPENT_AMOUNT   TABLE                 \nN1_TRAIN_DATA                           VIEW                  \nN1_TEST_DATA                            VIEW                  \nN1_BUILD_SETTINGS                       TABLE                 \nDM$P5N1_CLASS_MODEL                     TABLE                 \nDM$PPN1_CLASS_MODEL                     TABLE                 \nDM$PKN1_CLASS_MODEL                     TABLE                 \n\nTNAME                 TABTYPE   CLUSTERID   \nDM$PJN1_CLASS_MODEL   TABLE                 \nDM$PYN1_CLASS_MODEL   TABLE                 \nDM$PVN1_CLASS_MODEL   TABLE                 \nDM$PWN1_CLASS_MODEL   TABLE                 \nDM$PXN1_CLASS_MODEL   TABLE                 \nDM$PHN1_CLASS_MODEL   TABLE                 \nDM$VON1_CLASS_MODEL   VIEW                  \nDM$VIN1_CLASS_MODEL   VIEW                  \nDM$VPN1_CLASS_MODEL   VIEW                  \nDM$VMN1_CLASS_MODEL   VIEW                  \nDM$VCN1_CLASS_MODEL   VIEW                  \nDM$VTN1_CLASS_MODEL   VIEW                  \nDM$VGN1_CLASS_MODEL   VIEW                  \nDM$VSN1_CLASS_MODEL   VIEW                  \n\nTNAME                            TABTYPE   CLUSTERID   \nDM$VWN1_CLASS_MODEL              VIEW                  \nN1_APPLY_RESULT                  TABLE                 \nN1_LIFT_TABLE                    TABLE                 \nBIN$jlYxO2ochfvgUwgQAAqwuw==$0   TABLE                 \nBIN$jlYxO2odhfvgUwgQAAqwuw==$0   TABLE                 \nCREDIT_SCORE_NEW_PREDICTIONS     TABLE                 \n\n\n34 rows selected. \n\n\n---------------------------\n"}]},"jobName":"paragraph_1563781679850_-1613680630","id":"20190722-074759_711764315","dateCreated":"2019-07-22T07:47:59+0000","dateStarted":"2019-07-24T01:24:48+0000","dateFinished":"2019-07-24T01:24:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3188"},{"title":"STEP 4:  우리가 사용할 데이터 컬럼들을 조회합니다.","text":"%sql \n\n/*  run 버튼을 클릭해서 실행하거나 [shift + Enter] 단축키를 사용하여 실행합니다. */\n\nselect column_name from user_tab_cols where table_name='CREDIT_SCORING_100K_V';","user":"ADWC_WS","dateUpdated":"2019-07-24T01:11:18+0000","config":{"tableHide":false,"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"COLUMN_NAME","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"COLUMN_NAME","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COLUMN_NAME\nCHURN_RATE_OF_CC1\nRESIDENTAL_STATUS\nPRESENT_EMPLOYMENT_SINCE\nCHURN_RATE__OF_ACCOUNT_NO2\nNUMBER_OF_SAVING_ACCOUNTS\nSECOND_MOST_SPENDING_TYPE\nINFLATION_RATE\nNUMBER_OF_CLOSED_ACCOUNTS\nCURRENT_ADDRESS_DURATION\nMOST_POPULAR_POST_CATEGORY\nEDUCATION_LEVEL\nNUMBER_OF_PRIOR_LOANS\nDEBTOR_GUARANTORS\nNUMBER_OF_INACTIVE_ACCOUNTS\nNO_OF_LINKEDIN_CONTACTS\nUNEMPLOYMENT_INDEX\nMARITAL_STATUS\nCREDIT_HISTORY\nMOST_SPENDING_TYPE\nPERCENTAGE_PHD_ON_LINKEDIN\nCHURN_RATE_OF_ACCOUNT_NON\nTENURE\nOCCUPATION\nTHIRD_MOST_SPENDING_TYPE\nNO_OF_RECRUITERS_ON_LINKEDIN\nNUMBER_OF_INQUIRIES\nFATHERS_JOB\nIS_POSTED_STH_WITHIN_A_MONTH\nCUSTOMER_DMG_SEGMENT\nHEALTH_SCORE\nCREDIT_SCORE_BIN\nSCHOOL_FRIENDS_PERCENTAGE\nNUMBER_OF_PROTESTOR_LIKES\nINTEREST_RATE\nHAS_SAME_PHONE_NO_SINCE\nAVERAGE_JOB_CHANGING_PERIOD\nNO_OF_TOTAL_ENDORSEMENTS\nNO_OF_FOLLOWERS_ON_TWITTER\nNUMBER_OF_COLLECTIONS\nFACEBOOK_INFLUENCE_SCORE\nLOAN_AMOUNT\nCONSUMER_CONFIDENCE_INDEX\nGENDER\nHIGHEST_CREDIT_CARD_LIMIT\nAVERAGE_NO_OF_RETWEETS\nPERCENTAGE_MASTERS\nCUSTOMER_LIFETIME_VALUE\nHAS_CHECKING_ACCOUNT\nMODE_JOB_OF_CONTACTS\nNUMBER_OF_OPEN_ACCOUNTS\nNEW_BANKRUPTCY\nHOUSING_INDEX\nHAS_OWN_PHONE_NO\nDELINQUENCY_STATUS\nMAX_CC_SPENT_AMOUNT_PREV\nLIFECYCLE_STAGE\nINCOME\nLOAN_LENGTH\nFIXED_INCOME_RATE\nAGE\nREGION\nHAS_COLLATERAL\nCHURN_RATE_OF_CCN\nPERCENTAGE_OTHER\nCHURN_RATE_OF_CC2\nLOAN_TYPE\nPERCENTAGE_HIGH_SCHOOL\nCITY_SIZE\nMOTHERS_JOB\nNO_OF_PROTESTOR_COMMENTS\nCUSTOMER_VALUE_SEGMENT\nNUMBER_OF_CURRENT_ACCOUNTS\nNO_OF_DEBTORS_ON_FB\nEARNINGS\nNUMBER_OF_LIABLES\nWEALTH\nIS_FOREIGN_WORKER\nFAMILY_SIZE\nCHURN_RATE_OF_ACCOUNT_NO1\nMAX_CC_SPENT_AMOUNT\nPRODUCTION_INDEX\nPERCENTAGE_UG\nCUSTOMER_DEPTH\nPROB_GOOD_CREDIT\nJOB_FRIENDS_PERCENTAGE\nCUSTOMER_ID\nCREDIT_CARD_UTILIZATION_RATE\n"}]},"jobName":"paragraph_1563775868170_-1225548876","id":"20190722-061108_260828335","dateCreated":"2018-07-11T17:12:32+0000","dateStarted":"2019-07-24T01:11:18+0000","dateFinished":"2019-07-24T01:11:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3189"},{"title":"STEP 5: 신용 평가를 위한 고객정보를 리뷰합니다.","text":"%sql\n\n/* 좋은 신용도를 가진 고객을 판가름 하기 위해 다음과 같은 고객 정보를 사용합니다. */\n\nSelect * from credit_scoring_100k_v where rownum < 100","user":"ADWC_WS","dateUpdated":"2019-07-24T00:55:29+0000","config":{"tableHide":false,"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}],"values":[{"name":"AGE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"AGE","index":1,"aggr":"sum"},"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":299},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PROB_GOOD_CREDIT\tCUSTOMER_ID\tAGE\tINCOME\tMARITAL_STATUS\tNUMBER_OF_LIABLES\tWEALTH\tEDUCATION_LEVEL\tTENURE\tLOAN_TYPE\tLOAN_AMOUNT\tLOAN_LENGTH\tGENDER\tREGION\tCURRENT_ADDRESS_DURATION\tRESIDENTAL_STATUS\tNUMBER_OF_PRIOR_LOANS\tNUMBER_OF_CURRENT_ACCOUNTS\tNUMBER_OF_SAVING_ACCOUNTS\tOCCUPATION\tHAS_CHECKING_ACCOUNT\tCREDIT_HISTORY\tPRESENT_EMPLOYMENT_SINCE\tFIXED_INCOME_RATE\tDEBTOR_GUARANTORS\tHAS_OWN_PHONE_NO\tHAS_SAME_PHONE_NO_SINCE\tIS_FOREIGN_WORKER\tNUMBER_OF_OPEN_ACCOUNTS\tNUMBER_OF_CLOSED_ACCOUNTS\tNUMBER_OF_INACTIVE_ACCOUNTS\tNUMBER_OF_INQUIRIES\tHIGHEST_CREDIT_CARD_LIMIT\tCREDIT_CARD_UTILIZATION_RATE\tDELINQUENCY_STATUS\tNEW_BANKRUPTCY\tNUMBER_OF_COLLECTIONS\tMAX_CC_SPENT_AMOUNT\tMAX_CC_SPENT_AMOUNT_PREV\tHAS_COLLATERAL\tFAMILY_SIZE\tCITY_SIZE\tFATHERS_JOB\tMOTHERS_JOB\tMOST_SPENDING_TYPE\tSECOND_MOST_SPENDING_TYPE\tTHIRD_MOST_SPENDING_TYPE\tSCHOOL_FRIENDS_PERCENTAGE\tJOB_FRIENDS_PERCENTAGE\tNUMBER_OF_PROTESTOR_LIKES\tNO_OF_PROTESTOR_COMMENTS\tNO_OF_LINKEDIN_CONTACTS\tAVERAGE_JOB_CHANGING_PERIOD\tNO_OF_DEBTORS_ON_FB\tNO_OF_RECRUITERS_ON_LINKEDIN\tNO_OF_TOTAL_ENDORSEMENTS\tNO_OF_FOLLOWERS_ON_TWITTER\tMODE_JOB_OF_CONTACTS\tAVERAGE_NO_OF_RETWEETS\tFACEBOOK_INFLUENCE_SCORE\tPERCENTAGE_PHD_ON_LINKEDIN\tPERCENTAGE_MASTERS\tPERCENTAGE_UG\tPERCENTAGE_HIGH_SCHOOL\tPERCENTAGE_OTHER\tIS_POSTED_STH_WITHIN_A_MONTH\tMOST_POPULAR_POST_CATEGORY\tINTEREST_RATE\tEARNINGS\tUNEMPLOYMENT_INDEX\tPRODUCTION_INDEX\tHOUSING_INDEX\tCONSUMER_CONFIDENCE_INDEX\tINFLATION_RATE\tCUSTOMER_VALUE_SEGMENT\tCUSTOMER_DMG_SEGMENT\tCUSTOMER_LIFETIME_VALUE\tCHURN_RATE_OF_CC1\tCHURN_RATE_OF_CC2\tCHURN_RATE_OF_CCN\tCHURN_RATE_OF_ACCOUNT_NO1\tCHURN_RATE__OF_ACCOUNT_NO2\tCHURN_RATE_OF_ACCOUNT_NON\tHEALTH_SCORE\tCUSTOMER_DEPTH\tLIFECYCLE_STAGE\tCREDIT_SCORE_BIN\n1.18\t55585\t65\t3750\tMarried\t6\tAverage\tMaster's Degree\t9\tNeed\t20000\t24\tFemale\tMediterranean\t16\tTenant\t0\t6\t2\tFarmer\tNo\tDuly Now\tLess Than One Year\t0.6\tNone\tNo\t28\tNo\t3\t1\t1\t2\t11250\t0.6\tNormal\tUnknown\t1\t10125\t3375\tYes\t7\tMedium\tProfessional\tClerical\tEating and Drinking\tTransportation\tOther\t0.5\t0.2\t2\t4\t48\t6\t4\t1\t4\t31\tConsulting\t3\t0.2\t3\t17\t12\t27\t41\tYes\tPolitics\t7.5\t4.8\t10.1\t\t187.86\t0.65\t7.15\tSilver\tSegment3\t67500\t0.9\t0.3\t0.6\t0.4\t0.3\t0.35\t4\t6\t5\tOther Credit\n1.18\t61954\t21\t2750\tMarried\t2\tAverage\tMaster's Degree\t53\tNeed\t45000\t36\tFemale\tMediterranean\t99\tTenant\t1\t1\t0\tTechnician\tNo\tDelay\tMore Than Seven Years\t1\tGuarantor\tNo\t68\tNo\t1\t2\t0\t2\t8250\t\tFour Months Late\tUnknown\t0\t4950\t4950\tNo\t3\tMedium\tWorker\tUnemployed\tMarket\tElectronic\tHealth\t0.3\t0.1\t9\t1\t574\t9\t3\t22\t57\t164\tTourism\t16\t0.7\t7\t6\t5\t25\t57\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t316800\t0.9\t0.9\t0.9\t0.8\t0.9\t0.85\t8\t2\t61955\tOther Credit\n1.18\t90193\t22\t2750\tDivorced\t4\tPoor\tBachelor's Degree\t18\tNeed\t45000\t24\tMale\tEastern Anatolia\t43\tTenant\t2\t2\t0\tWorker\tNo\tDelay\tMore Than Seven Years\t0.9\tCo Applicant\tYes\t53\tNo\t1\t2\t1\t1\t8250\t0.9\tThree Months Late\tUnknown\t1\t6600\t4950\tYes\t5\tBig\tUnemployed\t\tBills\tMarket\tTransportation\t0.3\t0.2\t6\t4\t56\t6\t2\t2\t5\t86\tScience\t8\t0.3\t4\t0\t23\t37\t36\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t311850\t0.7\t0.7\t0.7\t0.9\t0.9\t0.9\t8\t1\t1\tOther Credit\n1.18\t22877\t35\t500\tMarried\t2\tVery Poor\tPrimary School Grad\t11\tHousing\t35000\t60\tFemale\tBlack Sea\t59\tFamily Home\t3\t5\t2\tClerical\tNo\tDuly Now\tUnemployed\t0.5\tNone\tYes\t75\tNo\t2\t0\t1\t2\t\t0.6\tFour Months Late\tNo\t0\t1350\t150\tYes\t3\tMedium\tProfessional\tClerical\tEating and Drinking\tOther\tElectronic\t0.1\t0.2\t9\t0\t800\t6\t0\t32\t80\t41\tProduction\t4\t0.3\t7\t9\t5\t22\t57\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t7500\t0.5\t0.2\t0.35\t0.2\t0.2\t0.2\t7\t5\t2\tOther Credit\n1.18\t46210\t55\t500\tMarried\t3\tVery Poor\tPrimary School Grad\t3\tHousing\t50000\t240\tFemale\tMarmara\t70\tTenant\t3\t4\t2\tProfessional\tYes\tDuly Now\tLess Than Seven Years\t0.7\tGuarantor\tYes\t3\tNo\t2\t0\t0\t1\t1500\t0.4\tOne Month Late\tUnknown\t0\t1050\t450\tYes\t4\tMedium\tWorker\tWorker\tBills\tOther\tTransportation\t0.4\t0.2\t6\t1\t370\t9\t0\t14\t37\t28\tConsulting\t2\t0.2\t11\t6\t27\t36\t\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t13500\t0.7\t0.5\t0.6\t0.5\t0.1\t0.3\t5\t6\t4\tOther Credit\n1.18\t91860\t21\t2750\tMarried\t6\tPoor\tBachelor's Degree\t24\tNeed\t40000\t12\tMale\tBlack Sea\t72\tTenant\t0\t4\t0\tArmy\tYes\tRisky\tLess Than Seven Years\t0.8\tCo Applicant\t\t10\tNo\t3\t2\t1\t1\t8250\t0.5\tMore Than Four Months\tNo\t0\t4950\t5775\tYes\t7\tMedium\tArmy\tWorker\tEating and Drinking\tBills\tOther\t0.2\t0.2\t2\t1\t280\t24\t0\t11\t28\t50\tTransportation\t5\t0.4\t4\t1\t14\t22\t59\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t369600\t0.6\t0.6\t0.6\t0.6\t0.8\t0.7\t8\t6\t1\tOther Credit\n1.18\t82229\t43\t2150\tMarried\t2\tAverage\tMaster's Degree\t12\tNeed\t30000\t12\tFemale\tEastern Anatolia\t48\tTenant\t1\t4\t2\tArmy\tNo\tNot Taken\tUnemployed\t0.6\tCo Applicant\tNo\t65\tNo\t2\t2\t0\t1\t6450\t0.6\tThree Months Late\tUnknown\t1\t3225\t645\tYes\t3\tSmall\tUnemployed\tTechnician\tEating and Drinking\tElectronic\tTransportation\t0.2\t0.1\t2\t0\t693\t1\t1\t27\t69\t13\tTransportation\t1\t0.1\t13\t7\t6\t37\t37\tYes\tThemselves\t7.5\t4.8\t\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t27090\t0.7\t0.4\t0.55\t0.5\t0.5\t0.5\t6\t3\t82230\tOther Credit\n1.18\t61047\t40\t2750\tDivorced\t1\tAverage\tMaster's Degree\t7\tHousing\t95000\t264\tMale\tBlack Sea\t31\tTenant\t0\t4\t2\tFarmer\tNo\tDelay\tUnemployed\t0.6\tCo Applicant\tYes\t33\t\t2\t1\t0\t1\t8250\t0\tThree Months Late\tUnknown\t1\t5775\t2475\tYes\t2\tBig\tUnemployed\tClerical\tEating and Drinking\tTransportation\tElectronic\t0.1\t0.1\t6\t4\t560\t8\t4\t22\t56\t42\tFinance\t4\t0.2\t4\t13\t18\t43\t22\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t111375\t0.5\t0.1\t0.3\t0.3\t0.2\t0.25\t6\t7\t61048\tOther Credit\n1.18\t1234\t18\t2750\tMarried\t1\tAverage\tMaster's Degree\t5\tNeed\t20000\t12\tFemale\tAegean\t44\tTenant\t1\t3\t0\tFarmer\tNo\tRisky\tMore Than Seven Years\t0.7\tCo Applicant\tNo\t33\tNo\t3\t0\t0\t0\t8250\t0.4\tOne Month Late\tYes\t1\t4125\t5775\tNo\t2\t\tTechnician\tUnemployed\tMarket\tElectronic\tOther\t0.5\t0.2\t6\t0\t371\t7\t0\t14\t37\t149\tDesign\t14\t0.5\t5\t5\t8\t22\t60\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t386925\t0.5\t1\t0.75\t0.1\t0.5\t0.3\t9\t5\t1\tOther Credit\n53.75\t10719\t35\t6250\tMarried\t6\tRich\tBachelor's Degree\t7\tNeed\t30000\t24\tMale\tBlack Sea\t6\tTenant\t2\t3\t0\tManager\t\tDuly Now\tLess Than One Year\t0.8\tCo Applicant\tYes\t18\tNo\t3\t1\t0\t1\t18750\t0.2\tNormal\tNo\t0\t7500\t1875\tNo\t7\tMedium\tUnemployed\tRetired\tEating and Drinking\tElectronic\tBills\t0.5\t0.2\t6\t5\t140\t24\t4\t5\t14\t75\tEducation\t7\t0.4\t3\t13\t25\t12\t47\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t93750\t0.8\t0.4\t0.6\t0.5\t0.2\t0.35\t7\t3\t2\tOther Credit\n1.18\t69543\t26\t2750\tSingle\t3\tPoor\tBachelor's Degree\t7\tNeed\t25000\t24\tFemale\tCentral Anatolia\t68\tTenant\t2\t4\t1\tClerical\tYes\tDelay\tMore Than Seven Years\t0.7\tCo Applicant\t\t10\tNo\t2\t0\t1\t0\t8250\t0.3\tMore Than Four Months\tNo\t0\t3300\t7425\tYes\t4\tSmall\tTechnician\tRetired\tEating and Drinking\tMarket\tBills\t0.5\t0.2\t3\t0\t54\t24\t4\t2\t5\t36\tFinance\t3\t0.2\t9\t1\t10\t17\t63\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t438075\t0.5\t0.8\t0.65\t0.4\t0.3\t0.35\t8\t7\t69544\tOther Credit\n1.18\t85066\t27\t2750\tSingle\t2\tAverage\tMaster's Degree\t18\tEducation\t10000\t24\tFemale\tMarmara\t48\tTenant\t2\t4\t1\tManager\tNo\tDuly Past\tLess Than One Year\t0.9\tCo Applicant\tYes\t39\tNo\t3\t1\t0\t1\t8250\t0.5\tNormal\tUnknown\t0\t4950\t825\tNo\t3\tBig\tUnemployed\tRetired\tEating and Drinking\tHealth\tTransportation\t0.5\t0.1\t2\t0\t756\t27\t4\t30\t75\t33\tEnergy\t3\t0.1\t1\t1\t24\t1\t73\tYes\tPolitics\t\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t47850\t0.8\t0.1\t0.45\t0.1\t0.2\t0.15\t8\t7\t85067\tOther Credit\n1.18\t60806\t30\t500\tMarried\t2\tVery Poor\tPrimary School Grad\t12\tHousing\t35000\t240\tFemale\tMarmara\t67\tFamily Home\t1\t3\t0\tFarmer\tNo\tDelay\tLess Than Seven Years\t0.9\tGuarantor\tNo\t85\tNo\t2\t0\t1\t1\t1500\t0.6\tMore Than Four Months\tNo\t0\t1200\t900\tYes\t3\tMedium\tRetired\tRetired\tEating and Drinking\tOther\tTransportation\t0.3\t0.2\t2\t5\t385\t8\t0\t15\t38\t1\tFinance\t0\t0.2\t10\t15\t16\t24\t35\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t49500\t0.9\t0.6\t0.75\t0.1\t0.2\t\t7\t6\t60807\tOther Credit\n1.18\t30648\t22\t2750\tMarried\t6\tPoor\tBachelor's Degree\t6\tNeed\t10000\t24\tFemale\tAegean\t61\tTenant\t3\t3\t0\tProfessional\tYes\tDelay\tLess Than Four Years\t1\t\tYes\t32\tNo\t2\t2\t1\t0\t8250\t0\tThree Months Late\tNo\t1\t2475\t7425\tNo\t7\tMedium\tRetired\tRetired\tMarket\tEating and Drinking\tBills\t0.4\t0.1\t2\t1\t300\t24\t2\t12\t30\t70\tScience\t7\t0.3\t8\t11\t17\t7\t57\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t467775\t0.4\t0.6\t0.5\t0.6\t0.7\t0.65\t8\t2\t1\tOther Credit\n1.18\t68320\t54\t2150\tMarried\t1\tAverage\tMaster's Degree\t15\tNeed\t45000\t24\tMale\t\t51\tTenant\t1\t5\t1\tTechnician\tYes\tDuly Now\tLess Than Seven Years\t0.9\tCo Applicant\tYes\t21\tNo\t3\t1\t1\t0\t6450\t0.5\tFour Months Late\tNo\t0\t6450\t5805\tYes\t2\tMedium\tManager\tUnemployed\tEating and Drinking\tHealth\tTransportation\t0.4\t0.1\t7\t1\t600\t1\t3\t24\t60\t44\tConsulting\t4\t0.1\t13\t10\t12\t14\t51\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t179955\t0.6\t1\t0.8\t0.2\t0.4\t0.3\t5\t6\t68321\tOther Credit\n1.18\t42857\t48\t500\tSingle\t3\tVery Poor\tPrimary School Grad\t8\tEducation\t15000\t12\tMale\tEastern Anatolia\t100\tTenant\t1\t5\t2\tProfessional\tNo\tDuly Now\tMore Than Seven Years\t0.7\tNone\tYes\t65\tNo\t2\t2\t1\t0\t1500\t0.2\t\tNo\t0\t150\t900\tYes\t4\tBig\tFarmer\tRetired\tMarket\tHealth\tOther\t0.5\t0.2\t2\t6\t612\t27\t0\t24\t61\t30\tConsulting\t3\t0.2\t6\t18\t19\t37\t20\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t33300\t0.3\t1\t0.65\t0.4\t0.1\t0.25\t6\t8\t3\tOther Credit\n1.18\t10714\t36\t2750\tMarried\t2\tAverage\tMaster's Degree\t18\tEducation\t20000\t12\tMale\tAegean\t62\tTenant\t3\t3\t1\tTechnician\tNo\tRisky\tUnemployed\t0.5\tCo Applicant\tNo\t12\tNo\t2\t0\t0\t0\t8250\t0.5\tTwo Months Late\tYes\t1\t1650\t3300\tYes\t3\tMedium\tRetired\tUnemployed\tMarket\tOther\tHealth\t0.5\t0.2\t8\t5\t14\t2\t4\t0\t1\t44\tTransportation\t4\t0.3\t\t6\t29\t1\t55\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t161700\t0.5\t0.7\t0.6\t0.3\t0.2\t0.25\t7\t7\t2\tOther Credit\n1.18\t40937\t46\t2750\tSingle\t1\tAverage\tMaster's Degree\t7\tAuto\t20000\t24\tMale\tMarmara\t70\tTenant\t2\t5\t2\tProfessional\tYes\tRisky\tMore Than Seven Years\t1\tCo Applicant\tNo\t73\tNo\t3\t1\t0\t1\t8250\t0.1\tFour Months Late\tNo\t0\t4125\t6600\tNo\t2\tBig\tWorker\tUnemployed\tEating and Drinking\tBills\tHealth\t0.2\t0.2\t1\t1\t200\t6\t4\t8\t20\t131\tFinance\t13\t0.6\t12\t1\t5\t41\t41\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t\t0.65\t7.15\tSilver\tSegment3\t257400\t0.8\t0.5\t0.65\t0.3\t0.4\t0.35\t6\t8\t3\tOther Credit\n1.18\t16353\t18\t2150\t\t2\tAverage\tMaster's Degree\t4\tEducation\t15000\t12\tMale\tEastern Anatolia\t15\tTenant\t2\t4\t0\tClerical\tYes\tRisky\tMore Than Seven Years\t1\tCo Applicant\tNo\t54\tNo\t3\t0\t1\t0\t6450\t0\tThree Months Late\tNo\t0\t3870\t4515\tYes\t3\tMedium\tUnemployed\tManager\tMarket\tBills\tHealth\t0.1\t0.2\t6\t0\t24\t9\t0\t0\t2\t43\tLaw\t4\t0.3\t13\t4\t15\t36\t32\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t302505\t0.5\t0.5\t0.5\t0.2\t0.2\t0.2\t9\t8\t1\tOther Credit\n1.18\t90097\t57\t2150\tMarried\t3\tPoor\tBachelor's Degree\t18\tHousing\t75000\t180\tMale\tCentral Anatolia\t17\tTenant\t0\t3\t0\tManager\tYes\tDuly Past\tLess Than Four Years\t0.9\tNone\tNo\t66\tNo\t2\t1\t1\t2\t6450\t0.6\tThree Months Late\tNo\t0\t3225\t1935\tYes\t4\tMedium\tRetired\tRetired\tEating and Drinking\tMarket\tHealth\t0.1\t0.2\t8\t1\t76\t30\t0\t3\t7\t73\tConsulting\t7\t0.3\t13\t4\t11\t34\t38\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t54180\t\t0.1\t0.35\t0.2\t0.2\t0.2\t5\t5\t4\tOther Credit\n1.18\t78401\t43\t500\tSingle\t3\tVery Poor\tPrimary School Grad\t37\tEducation\t20000\t12\tFemale\tAegean\t46\tFamily Home\t2\t5\t1\tFarmer\tYes\tRisky\tLess Than One Year\t1\tCo Applicant\tYes\t67\tNo\t3\t1\t1\t1\t1500\t0.4\tMore Than Four Months\tNo\t0\t600\t300\tYes\t4\tSmall\tArmy\tUnemployed\tEating and Drinking\tOther\tBills\t0.2\t0.1\t8\t1\t72\t7\t4\t2\t7\t31\tEnergy\t3\t0.3\t5\t19\t16\t6\t54\tYes\tFuture\t7.5\t\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t12600\t0.5\t0.4\t0.45\t0.4\t0.4\t0.4\t6\t6\t78402\tOther Credit\n1.18\t51272\t50\t2750\tMarried\t6\tPoor\tBachelor's Degree\t80\tNeed\t15000\t24\tFemale\tAegean\t87\tTenant\t3\t2\t0\tClerical\tYes\tDuly Past\tMore Than Seven Years\t1\tGuarantor\tNo\t92\tNo\t2\t1\t0\t2\t8250\t0.3\tThree Months Late\tNo\t0\t6600\t4125\tNo\t7\tMedium\tArmy\tWorker\tEating and Drinking\tOther\tMarket\t0.3\t0.1\t7\t6\t14\t8\t1\t0\t1\t37\tTourism\t3\t0.1\t10\t11\t3\t11\t65\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t144375\t0.9\t0.7\t0.8\t0.9\t0.4\t0.65\t5\t1\t\tOther Credit\n1.18\t32077\t39\t500\tSingle\t3\tVery Poor\tPrimary School Grad\t12\tNeed\t20000\t12\tFemale\tCentral Anatolia\t78\tFamily Home\t1\t5\t2\tArmy\tNo\tRisky\tLess Than One Year\t0.5\tGuarantor\tYes\t59\tNo\t3\t2\t0\t0\t1500\t0.9\tOne Month Late\tYes\t2\t1200\t600\tYes\t4\tMedium\tWorker\tRetired\tMarket\tElectronic\tHealth\t0.3\t0.1\t3\t1\t48\t6\t0\t1\t4\t95\tScience\t9\t0.4\t13\t2\t1\t7\t77\tYes\t\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t27600\t0.9\t0.7\t0.8\t0.1\t0.3\t0.2\t7\t2\t2\tOther Credit\n1.18\t95949\t\t3750\tMarried\t3\tAverage\tMaster's Degree\t15\tAuto\t45000\t48\tMale\tBlack Sea\t42\tTenant\t0\t2\t1\tTechnician\tYes\tNot Taken\tLess Than Four Years\t0.9\tCo Applicant\tYes\t98\tNo\t1\t1\t0\t2\t11250\t0.8\tFour Months Late\tNo\t0\t4500\t3375\tYes\t4\tMedium\tWorker\tUnemployed\tEating and Drinking\tOther\tTransportation\t0.4\t0.1\t9\t0\t104\t8\t1\t4\t10\t98\tProduction\t9\t0.4\t2\t2\t0\t18\t78\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t94500\t0.6\t0.4\t0.5\t0.4\t0.4\t0.4\t5\t3\t4\tOther Credit\n1.18\t17785\t70\t2750\tMarried\t1\tAverage\tMaster's Degree\t14\tNeed\t25000\t36\tFemale\tBlack Sea\t21\tTenant\t1\t5\t2\tProfessional\tYes\tNot Taken\tUnemployed\t0.5\tGuarantor\tNo\t54\tNo\t2\t0\t1\t2\t8250\t0\tNormal\tNo\t1\t825\t6600\tYes\t2\t\tRetired\tFarmer\tEating and Drinking\tOther\tBills\t0.4\t0.1\t0\t1\t60\t7\t4\t2\t6\t83\tDesign\t8\t0.4\t0\t13\t26\t18\t43\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t99000\t0.3\t0.5\t0.4\t0.1\t0.1\t0.1\t3\t5\t5\tOther Credit\n54.71\t39512\t59\t3750\tMarried\t1\tRich\tDoctorate Degree\t37\tNeed\t35000\t12\tMale\tAegean\t52\tOwner\t1\t4\t1\tProfessional\tNo\tDuly Now\tLess Than One Year\t0.5\tGuarantor\tNo\t12\tNo\t3\t\t0\t2\t11250\t0.3\tNormal\tNo\t0\t3375\t1125\tYes\t2\tSmall\tUnemployed\tUnemployed\tMarket\tElectronic\tBills\t0.3\t0.1\t8\t0\t188\t6\t3\t7\t18\t32\tFinance\t3\t0.1\t1\t13\t23\t19\t44\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t29250\t0.4\t0.4\t0.4\t0.5\t0.4\t0.45\t5\t7\t4\tOther Credit\n1.18\t79767\t33\t2150\tSingle\t2\tAverage\tMaster's Degree\t9\tNeed\t20000\t36\tFemale\tMediterranean\t89\tTenant\t3\t3\t1\tClerical\tNo\tRisky\tUnemployed\t0.7\tNone\tYes\t65\tNo\t1\t2\t1\t2\t6450\t0.4\tTwo Months Late\tUnknown\t0\t1935\t5805\tYes\t3\tSmall\tManager\tUnemployed\tEating and Drinking\tBills\tOther\t0.3\t0.1\t3\t6\t24\t30\t4\t0\t2\t43\tScience\t4\t0.2\t12\t9\t3\t24\t52\tYes\tCulture\t7.5\t4.8\t10.1\t\t187.86\t0.65\t7.15\tSilver\tSegment3\t301860\t0.2\t0.5\t0.35\t0.6\t0.8\t0.7\t7\t2\t79768\tOther Credit\n1.18\t46227\t69\t2150\tSingle\t3\tPoor\tBachelor's Degree\t63\tNeed\t25000\t36\tMale\tAegean\t66\tTenant\t0\t4\t1\tWorker\tNo\tNot Taken\tUnemployed\t1\tGuarantor\tYes\t65\tNo\t2\t1\t1\t2\t6450\t0.5\tThree Months Late\tNo\t1\t1935\t4515\tYes\t4\tMedium\tRetired\tProfessional\tEating and Drinking\tOther\tHealth\t0.3\t0.2\t1\t4\t540\t2\t0\t21\t54\t229\tTransportation\t22\t0.8\t0\t11\t1\t13\t75\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t\t0.4\t0.8\t0.6\t0.2\t0.1\t0.15\t4\t6\t5\tOther Credit\n1.18\t21920\t66\t2750\tMarried\t3\tPoor\tBachelor's Degree\t8\tEducation\t20000\t24\tFemale\tEastern Anatolia\t98\tTenant\t3\t3\t2\tFarmer\tNo\tDuly Past\tUnemployed\t0.6\tCo Applicant\tYes\t12\tNo\t1\t2\t0\t2\t8250\t\tOne Month Late\tNo\t0\t6600\t4125\tYes\t4\tBig\tRetired\tProfessional\tEating and Drinking\tTransportation\tElectronic\t0.2\t0.2\t7\t1\t6\t6\t1\t0\t0\t119\tDesign\t11\t0.5\t12\t7\t26\t18\t37\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t78375\t0.8\t0.8\t0.8\t0.5\t0.4\t0.45\t4\t1\t5\tOther Credit\n1.18\t23041\t70\t2750\tMarried\t3\tPoor\tBachelor's Degree\t31\tHousing\t40000\t132\tFemale\tMarmara\t43\tTenant\t0\t3\t0\tClerical\tNo\tNot Taken\tUnemployed\t0.5\tCo Applicant\tYes\t23\tNo\t3\t2\t0\t1\t8250\t0.1\tTwo Months Late\tUnknown\t0\t3300\t2475\tNo\t4\tSmall\tClerical\tFarmer\tEating and Drinking\tHealth\tBills\t0.1\t0.2\t3\t1\t150\t7\t1\t6\t15\t69\tConsulting\t6\t\t2\t14\t18\t13\t53\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t37125\t0.5\t0.3\t0.4\t1\t1\t1\t3\t3\t5\tOther Credit\n1.18\t21317\t44\t2750\tMarried\t6\tPoor\tBachelor's Degree\t14\tAuto\t10000\t36\tFemale\tSoutheast Anatolia\t88\tTenant\t3\t3\t0\tArmy\tYes\tDuly Now\tLess Than Seven Years\t1\tCo Applicant\tYes\t55\tNo\t3\t2\t0\t1\t8250\t0.8\tOne Month Late\tNo\t1\t1650\t825\tYes\t7\tMedium\tManager\tUnemployed\tBills\tMarket\tElectronic\t0.2\t0.1\t0\t0\t152\t8\t3\t6\t15\t53\tScience\t5\t0.5\t14\t11\t20\t40\t15\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t33825\t\t0.3\t0.25\t0.9\t0.6\t0.75\t6\t5\t3\tOther Credit\n1.18\t58420\t60\t2750\tMarried\t3\tPoor\tBachelor's Degree\t9\tNeed\t40000\t24\tMale\tAegean\t1\t\t0\t3\t1\tProfessional\tYes\tRisky\tMore Than Seven Years\t0.5\tCo Applicant\tNo\t19\tNo\t2\t1\t0\t2\t8250\t0.9\tTwo Months Late\tUnknown\t1\t4950\t4950\tYes\t4\tSmall\tUnemployed\tRetired\tEating and Drinking\tMarket\tOther\t0.5\t0.1\t8\t1\t192\t7\t4\t7\t19\t78\tProduction\t7\t0.3\t10\t3\t29\t38\t20\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t123750\t0.8\t0.5\t0.65\t0.2\t0.1\t0.15\t4\t5\t4\tOther Credit\n1.18\t60192\t42\t2750\tMarried\t3\tPoor\tBachelor's Degree\t11\tHousing\t65000\t12\tFemale\tEastern Anatolia\t46\tTenant\t3\t1\t0\tTechnician\tYes\tRisky\tLess Than Seven Years\t1\tCo Applicant\tNo\t96\tNo\t1\t0\t0\t2\t8250\t0.8\tTwo Months Late\tYes\t3\t4125\t7425\tYes\t4\tSmall\tFarmer\tWorker\tEating and Drinking\tOther\tElectronic\t0.1\t0.1\t0\t0\t600\t24\t3\t24\t60\t68\tTourism\t6\t0.4\t8\t16\t1\t32\t43\tYes\tEconomics\t7.5\t\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t319275\t0.9\t0.6\t0.75\t0.5\t0.2\t0.35\t6\t2\t60193\tOther Credit\n1.18\t20617\t54\t2150\tMarried\t1\tAverage\tMaster's Degree\t5\tNeed\t35000\t36\tMale\tBlack Sea\t53\tTenant\t1\t4\t1\tManager\tNo\tDuly Now\tLess Than One Year\t0.9\tGuarantor\tYes\t15\tNo\t3\t1\t0\t2\t6450\t0.3\tTwo Months Late\tNo\t0\t1290\t3870\t\t2\tMedium\tProfessional\tRetired\tMarket\tElectronic\tBills\t0.4\t0.2\t10\t0\t132\t21\t4\t5\t13\t168\tDesign\t16\t0.6\t4\t19\t24\t39\t14\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t119970\t0.1\t0.9\t0.5\t0.3\t0.2\t0.25\t5\t8\t3\tOther Credit\n1.18\t48506\t63\t2150\tMarried\t3\tPoor\tBachelor's Degree\t10\tAuto\t35000\t36\tFemale\tCentral Anatolia\t20\tTenant\t2\t4\t1\tFarmer\tNo\tDuly Now\tUnemployed\t0.5\tNone\tNo\t35\tNo\t3\t0\t0\t2\t6450\t0.9\tTwo Months Late\tNo\t0\t4515\t1935\tYes\t4\tMedium\tTechnician\tUnemployed\tEating and Drinking\tBills\tElectronic\t0.4\t0.2\t3\t4\t20\t6\t3\t0\t2\t33\tDesign\t3\t0.2\t4\t7\t\t34\t33\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t42570\t0.5\t0.5\t0.5\t0.2\t0.2\t0.2\t4\t8\t4\tOther Credit\n1.18\t99775\t47\t2150\tMarried\t2\tAverage\tMaster's Degree\t1\tNeed\t40000\t12\tMale\tMediterranean\t53\tTenant\t0\t6\t2\tClerical\tNo\tNot Taken\tUnemployed\t0.6\tGuarantor\tYes\t14\tNo\t3\t2\t1\t1\t\t0.4\tFour Months Late\tUnknown\t1\t3870\t3870\tNo\t3\tMedium\tTechnician\tRetired\tEating and Drinking\tElectronic\tBills\t0.1\t0.2\t7\t5\t372\t2\t0\t14\t37\t32\tTransportation\t3\t0.2\t4\t8\t22\t19\t47\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t147060\t0.8\t0.5\t0.65\t0.3\t0.1\t0.2\t6\t5\t3\tOther Credit\n1.18\t90465\t30\t2150\tSingle\t1\tAverage\tMaster's Degree\t7\tHousing\t40000\t72\tMale\tAegean\t5\tTenant\t2\t1\t0\tClerical\tNo\tRisky\tLess Than Four Years\t0.9\tGuarantor\tYes\t24\tNo\t1\t0\t0\t2\t6450\t0.5\tOne Month Late\tNo\t1\t645\t4515\tYes\t2\tMedium\tManager\tUnemployed\tEating and Drinking\tOther\tElectronic\t0.1\t0.2\t\t0\t156\t6\t0\t6\t15\t5\tEducation\t0\t0.2\t13\t5\t5\t36\t41\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t248325\t0.3\t0.8\t0.55\t0.1\t0.1\t0.1\t7\t3\t2\tOther Credit\n1.18\t66806\t51\t2750\tSingle\t1\tAverage\tMaster's Degree\t31\tEducation\t15000\t12\tMale\tMarmara\t97\tTenant\t1\t4\t1\tTechnician\tYes\tRisky\tMore Than Seven Years\t0.7\tCo Applicant\tNo\t97\tNo\t2\t0\t1\t\t8250\t0\tTwo Months Late\tNo\t0\t3300\t4125\tYes\t2\tSmall\tRetired\tFarmer\tEating and Drinking\tOther\tBills\t0.4\t0.1\t8\t0\t830\t2\t0\t33\t83\t74\tFinance\t7\t0.5\t13\t0\t17\t43\t27\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t140250\t0.7\t0.7\t0.7\t0.1\t0.5\t0.3\t5\t5\t66807\tOther Credit\n1.18\t92381\t44\t2750\tSingle\t6\tPoor\tBachelor's Degree\t47\tAuto\t10000\t24\tFemale\tBlack Sea\t84\tTenant\t2\t6\t2\tWorker\tNo\tDuly Past\tLess Than Seven Years\t0.6\tGuarantor\tYes\t16\tNo\t3\t0\t\t2\t8250\t0.8\tFour Months Late\tNo\t0\t5775\t5775\tYes\t7\tMedium\tArmy\tClerical\tEating and Drinking\tTransportation\tHealth\t0.4\t0.1\t3\t1\t890\t27\t1\t35\t89\t22\tEducation\t2\t0.2\t12\t9\t21\t32\t26\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t236775\t0.8\t1\t0.9\t0.2\t0.2\t0.2\t6\t2\t3\tOther Credit\n1.18\t92752\t66\t2150\tMarried\t2\tAverage\tMaster's Degree\t61\tAuto\t45000\t36\tMale\tAegean\t26\tTenant\t2\t4\t1\tClerical\tYes\tNot Taken\tMore Than Seven Years\t0.5\tGuarantor\tYes\t30\tNo\t3\t2\t0\t0\t6450\t0.8\tFour Months Late\tNo\t0\t5805\t5805\tYes\t3\tSmall\tUnemployed\tUnemployed\tBills\tHealth\tTransportation\t0.4\t0.2\t7\t5\t290\t2\t0\t11\t29\t90\t\t9\t0.3\t2\t11\t7\t32\t48\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t110295\t0.8\t1\t0.9\t0.1\t0.1\t0.1\t4\t1\t5\tOther Credit\n54.71\t91404\t67\t3750\tDivorced\t1\tRich\tDoctorate Degree\t32\tHousing\t10000\t168\tMale\tBlack Sea\t53\tOwner\t1\t2\t0\tProfessional\tNo\tNot Taken\tLess Than One Year\t0.8\tCo Applicant\tYes\t13\tNo\t2\t1\t0\t2\t11250\t0.7\tNormal\tNo\t0\t3375\t2250\tYes\t2\tMedium\tUnemployed\tFarmer\tEating and Drinking\tMarket\tHealth\t0.5\t0.1\t2\t1\t11\t7\t1\t0\t1\t14\tFinance\t1\t0.1\t3\t10\t0\t17\t70\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t40500\t0.4\t0.1\t0.25\t\t0.3\t0.55\t4\t6\t5\tOther Credit\n1.18\t46412\t32\t2150\tDivorced\t2\tAverage\tMaster's Degree\t9\tEducation\t20000\t12\tFemale\tEastern Anatolia\t48\tTenant\t3\t4\t1\tTechnician\tNo\tNot Taken\tLess Than Four Years\t0.8\tGuarantor\tNo\t29\tNo\t3\t0\t0\t2\t6450\t0.7\tNormal\tNo\t0\t4515\t4515\tYes\t3\t\tProfessional\tTechnician\tEating and Drinking\tHealth\tTransportation\t0.2\t0.2\t10\t1\t420\t6\t3\t16\t42\t78\tProduction\t7\t0.4\t9\t11\t13\t11\t56\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t239295\t0.8\t0.9\t0.85\t0.2\t0.1\t0.15\t7\t2\t2\tOther Credit\n46.56\t55606\t65\t5250\tMarried\t4\tRich\tBachelor's Degree\t32\tHousing\t75000\t192\tFemale\tMediterranean\t33\tOwner\t2\t3\t1\tManager\tNo\tRisky\tUnemployed\t0.5\tCo Applicant\tNo\t78\tNo\t2\t2\t0\t2\t15750\t0.3\tOne Month Late\tUnknown\t1\t11025\t1575\tNo\t5\tMedium\t\tProfessional\tMarket\tTransportation\tHealth\t0.4\t0.1\t0\t6\t630\t7\t0\t25\t63\t193\tProduction\t19\t0.5\t0\t5\t3\t37\t55\tYes\tSocial\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t31500\t0.8\t0.5\t0.65\t0.5\t0.9\t0.7\t4\t2\t5\tOther Credit\n1.18\t41893\t68\t500\tMarried\t3\tVery Poor\tPrimary School Grad\t75\tNeed\t35000\t12\tMale\tMarmara\t12\tTenant\t2\t3\t1\tWorker\tNo\tRisky\tLess Than Four Years\t1\tGuarantor\tYes\t24\tNo\t2\t2\t0\t1\t1500\t0.3\tThree Months Late\tNo\t0\t450\t750\tYes\t4\tSmall\tArmy\tWorker\tEating and Drinking\tMarket\tOther\t0.2\t0.1\t2\t1\t522\t2\t4\t20\t52\t47\tLaw\t4\t0.1\t13\t11\t22\t22\t32\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t12750\t0.3\t0.6\t0.45\t0.7\t0.6\t0.65\t4\t1\t5\tOther Credit\n1.18\t97148\t27\t500\tMarried\t3\tVery Poor\tPrimary School Grad\t9\tNeed\t40000\t36\tFemale\tMediterranean\t91\tFamily Home\t0\t3\t0\tManager\tYes\tDuly Now\tLess Than Seven Years\t0.6\tGuarantor\tYes\t81\tNo\t2\t0\t1\t1\t1500\t0.9\tTwo Months Late\tNo\t1\t600\t1200\tYes\t4\tSmall\tManager\tRetired\tMarket\tOther\tBills\t0.1\t0.1\t8\t1\t728\t27\t1\t29\t72\t66\tHealth\t6\t0.4\t14\t19\t18\t\t8\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t69600\t1\t0.5\t0.75\t0.2\t0.2\t0.2\t8\t5\t2\tOther Credit\n1.18\t79972\t31\t2150\tMarried\t3\tPoor\tBachelor's Degree\t12\tNeed\t10000\t12\tFemale\tMarmara\t19\tTenant\t2\t2\t0\tManager\tNo\tRisky\tMore Than Seven Years\t0.8\tCo Applicant\tNo\t52\tNo\t1\t1\t1\t2\t6450\t0.3\tOne Month Late\tYes\t3\t3225\t5805\tYes\t4\tMedium\tWorker\tProfessional\tEating and Drinking\tBills\tHealth\t0.5\t0.2\t7\t4\t18\t27\t1\t0\t1\t65\tProduction\t6\t0.4\t11\t17\t24\t43\t5\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t313470\t0.6\t0.6\t0.6\t0.8\t\t0.9\t7\t1\t79973\tOther Credit\n1.18\t51970\t37\t2150\tMarried\t1\tAverage\tMaster's Degree\t46\tHousing\t10000\t276\tMale\tEastern Anatolia\t81\tTenant\t2\t4\t2\tArmy\tYes\tDuly Now\tLess Than Four Years\t0.8\tGuarantor\tYes\t86\tNo\t2\t0\t0\t1\t6450\t0.6\tThree Months Late\tYes\t1\t5160\t5160\tYes\t2\tSmall\tRetired\tRetired\tMarket\tElectronic\tOther\t0.1\t\t1\t6\t783\t1\t4\t31\t78\t14\tEducation\t1\t0.2\t12\t5\t5\t3\t75\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t247680\t0.9\t0.9\t0.9\t0.4\t0.1\t0.25\t7\t3\t2\tOther Credit\n1.18\t63501\t42\t2750\tSingle\t2\tAverage\tMaster's Degree\t7\tNeed\t25000\t36\tMale\tMediterranean\t84\tTenant\t1\t3\t0\tArmy\tYes\tDuly Now\tLess Than Seven Years\t0.6\tGuarantor\tNo\t59\tNo\t3\t2\t0\t2\t8250\t0.6\tThree Months Late\tNo\t0\t2475\t4125\tNo\t3\tMedium\tUnemployed\tProfessional\tEating and Drinking\tOther\tBills\t0.2\t0.2\t7\t0\t182\t8\t4\t7\t18\t69\tTransportation\t6\t0.5\t6\t16\t4\t20\t54\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t177375\t0.2\t0.5\t0.35\t0.5\t0.6\t0.55\t\t2\t63502\tOther Credit\n1.18\t82601\t46\t2150\tMarried\t2\tAverage\tMaster's Degree\t52\tNeed\t20000\t12\tMale\tMediterranean\t7\tTenant\t3\t4\t2\tClerical\tYes\tDuly Now\tLess Than Seven Years\t0.9\tNone\tNo\t72\tNo\t1\t2\t\t2\t6450\t0.2\tTwo Months Late\tNo\t0\t2580\t1290\tYes\t3\tMedium\tWorker\tWorker\tBills\tHealth\tElectronic\t0.2\t0.1\t3\t4\t390\t6\t3\t15\t39\t11\tFinance\t1\t0.3\t10\t9\t22\t1\t58\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t50310\t0.7\t0.5\t0.6\t0.4\t0.3\t0.35\t6\t3\t82602\tOther Credit\n1.18\t31421\t25\t2750\tMarried\t1\tAverage\tMaster's Degree\t12\tNeed\t35000\t36\tFemale\tMediterranean\t2\tTenant\t1\t4\t2\tTechnician\tNo\tDelay\tLess Than Seven Years\t1\tNone\tNo\t52\tNo\t2\t0\t0\t2\t8250\t0.2\tNormal\tNo\t0\t3300\t4125\tYes\t2\tSmall\tManager\tArmy\tBills\tEating and Drinking\tHealth\t0.3\t0.1\t9\t1\t432\t1\t2\t17\t43\t37\tHealth\t3\t0.3\t8\t2\t22\t20\t48\tYes\tThemselves\t7.5\t4.8\t10.1\t\t187.86\t0.65\t7.15\tSilver\tSegment3\t247500\t0.8\t0.6\t0.7\t0.5\t0.5\t0.5\t8\t7\t2\tOther Credit\n1.18\t25438\t20\t2150\tSingle\t3\tPoor\tBachelor's Degree\t11\tHousing\t35000\t48\tMale\tMediterranean\t10\tTenant\t0\t3\t1\tFarmer\tYes\tRisky\tLess Than Seven Years\t1\tCo Applicant\tNo\t82\tNo\t1\t1\t1\t2\t6450\t0.7\tThree Months Late\tYes\t2\t5805\t4515\tYes\t4\tSmall\tProfessional\tFarmer\tEating and Drinking\t\tOther\t0.5\t0.2\t0\t0\t80\t6\t4\t3\t8\t23\tScience\t2\t0.3\t3\t17\t6\t16\t58\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t293475\t1\t0.7\t0.85\t0.4\t0.4\t0.4\t8\t2\t1\tOther Credit\n53.75\t43239\t19\t\tMarried\t6\tRich\tBachelor's Degree\t62\tHousing\t25000\t132\tMale\tMarmara\t89\tOwner\t2\t2\t0\tProfessional\tYes\tRisky\tLess Than Seven Years\t1\tCo Applicant\tYes\t21\tNo\t2\t2\t0\t0\t18750\t0.9\tNormal\tUnknown\t0\t13125\t1875\tYes\t7\tBig\tFarmer\tUnemployed\tMarket\tBills\tElectronic\t0.2\t0.1\t3\t1\t7\t8\t4\t0\t0\t96\tDesign\t9\t0.4\t4\t7\t27\t9\t53\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t123750\t0.6\t0.1\t0.35\t1\t0.8\t0.9\t9\t1\t1\tOther Credit\n51.55\t68054\t62\t5250\tMarried\t4\t\tBachelor's Degree\t8\tHousing\t65000\t192\tFemale\tBlack Sea\t66\tOwner\t0\t4\t2\tManager\tYes\tDuly Past\tLess Than One Year\t0.9\tCo Applicant\tNo\t5\tNo\t2\t2\t0\t1\t15750\t0.9\tOne Month Late\tNo\t0\t4725\t9450\tNo\t5\tMedium\tProfessional\tProfessional\tMarket\tHealth\tEating and Drinking\t0.5\t0.2\t10\t4\t105\t9\t0\t4\t10\t1\tEnergy\t0\t0.2\t9\t4\t13\t6\t68\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t217350\t0.2\t0.8\t0.5\t0.5\t0.3\t0.4\t4\t6\t68055\tOther Credit\n1.18\t61699\t69\t2150\tSingle\t1\tAverage\tMaster's Degree\t9\tHousing\t70000\t156\tFemale\t\t9\tTenant\t2\t3\t1\tClerical\tYes\tDelay\tLess Than Four Years\t0.9\tGuarantor\tYes\t49\tNo\t1\t2\t1\t1\t6450\t0.3\tThree Months Late\tNo\t1\t1290\t5160\tNo\t2\tBig\tTechnician\tRetired\tEating and Drinking\tOther\tElectronic\t0.4\t0.1\t10\t0\t171\t21\t4\t6\t17\t8\tEducation\t0\t0.1\t6\t2\t1\t24\t67\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t82560\t0.5\t0.8\t0.65\t0.5\t0.5\t0.5\t4\t3\t61700\tOther Credit\n1.18\t61643\t43\t2750\tMarried\t1\tAverage\tMaster's Degree\t1\tAuto\t25000\t36\tMale\tEastern Anatolia\t80\tTenant\t0\t2\t0\tArmy\tNo\tDuly Past\tLess Than One Year\t0.9\tGuarantor\tYes\t72\tNo\t1\t0\t1\t1\t8250\t0.3\tNormal\tUnknown\t1\t6600\t825\tYes\t2\tSmall\tFarmer\tProfessional\tMarket\tEating and Drinking\tElectronic\t0.1\t0.1\t0\t0\t2\t21\t4\t0\t0\t\tDesign\t1\t0.1\t3\t4\t7\t4\t82\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t34650\t0.5\t0.3\t0.4\t0.4\t0.5\t0.45\t6\t5\t61644\tOther Credit\n1.18\t62336\t62\t2150\tSingle\t1\tAverage\tMaster's Degree\t6\tNeed\t45000\t12\tMale\tBlack Sea\t39\tTenant\t1\t2\t0\tProfessional\tYes\tDelay\tUnemployed\t0.6\tNone\tNo\t6\tNo\t1\t1\t1\t2\t6450\t0.5\tOne Month Late\tUnknown\t0\t6450\t5160\tNo\t2\tSmall\tRetired\tArmy\tEating and Drinking\tMarket\tTransportation\t0.3\t0.2\t1\t0\t258\t7\t0\t10\t25\t52\tConsulting\t5\t0.4\t10\t3\t29\t22\t36\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t118680\t0.8\t0.7\t0.75\t0.7\t\t0.6\t4\t1\t62337\tOther Credit\n1.18\t72716\t27\t2150\tSingle\t2\tAverage\tMaster's Degree\t7\tNeed\t35000\t36\tFemale\tMarmara\t67\tTenant\t0\t3\t1\tArmy\tYes\tNot Taken\tLess Than Seven Years\t1\tNone\tYes\t78\tNo\t2\t0\t0\t1\t6450\t0.5\tTwo Months Late\tNo\t0\t5805\t3225\tNo\t3\tBig\t\tRetired\tEating and Drinking\tTransportation\tHealth\t0.4\t0.1\t2\t5\t18\t9\t0\t0\t1\t255\tScience\t25\t0.7\t7\t6\t15\t38\t34\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t187050\t0.5\t0.5\t0.5\t0.5\t0.5\t0.5\t8\t7\t72717\tOther Credit\n1.18\t53877\t49\t500\tMarried\t4\tVery Poor\tPrimary School Grad\t10\tEducation\t20000\t12\tFemale\tAegean\t63\tTenant\t2\t4\t1\tProfessional\tYes\tRisky\tMore Than Seven Years\t1\tCo Applicant\tYes\t94\tNo\t3\t2\t0\t1\t1500\t0.5\tMore Than Four Months\tNo\t0\t750\t1050\tNo\t5\tMedium\tFarmer\tUnemployed\tEating and Drinking\tBills\tTransportation\t0.4\t0.1\t3\t\t87\t1\t1\t3\t8\t48\tEnergy\t4\t0.3\t13\t3\t23\t34\t27\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t37800\t0.6\t1\t0.8\t0.4\t0.1\t0.25\t6\t1\t3\tOther Credit\n1.18\t73088\t18\t2150\tMarried\t3\tPoor\tBachelor's Degree\t21\tEducation\t20000\t24\tFemale\tAegean\t3\tTenant\t2\t3\t1\tFarmer\tNo\tDelay\tLess Than One Year\t0.8\tNone\tNo\t82\tNo\t1\t\t1\t0\t6450\t0.4\tOne Month Late\tNo\t0\t645\t5805\tYes\t4\tBig\tProfessional\tProfessional\tEating and Drinking\tOther\tElectronic\t0.3\t0.2\t1\t1\t22\t21\t2\t0\t2\t284\tTransportation\t28\t0.8\t7\t10\t29\t34\t20\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t388935\t0.2\t0.5\t0.35\t0.9\t0.6\t0.75\t9\t3\t73089\tOther Credit\n1.18\t18392\t28\t2750\tMarried\t2\tAverage\tMaster's Degree\t8\tAuto\t50000\t48\tMale\tMarmara\t63\tTenant\t2\t3\t0\tWorker\tNo\tDuly Past\tUnemployed\t0.9\tGuarantor\tYes\t14\tNo\t3\t1\t0\t0\t8250\t0.5\tNormal\tNo\t0\t\t1650\tYes\t3\tSmall\tProfessional\tRetired\tEating and Drinking\tElectronic\tBills\t0.3\t0.2\t8\t0\t39\t21\t3\t1\t3\t295\tDesign\t29\t0.8\t4\t9\t22\t20\t45\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t94050\t0.4\t0.1\t0.25\t0.3\t0.2\t0.25\t8\t8\t2\tOther Credit\n1.18\t66647\t49\t2750\tMarried\t4\tPoor\tBachelor's Degree\t14\tHousing\t30000\t60\tMale\tCentral Anatolia\t53\tTenant\t3\t3\t0\tTechnician\tNo\tDuly Now\tLess Than Four Years\t0.7\tNone\tNo\t42\tNo\t2\t1\t1\t1\t8250\t0.2\tTwo Months Late\tNo\t0\t1650\t2475\tNo\t5\tSmall\tProfessional\tUnemployed\t\tOther\tTransportation\t0.2\t0.1\t1\t0\t76\t6\t1\t3\t7\t32\tTourism\t3\t0.1\t11\t9\t12\t35\t33\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t89100\t0.1\t0.4\t0.25\t0.1\t0.5\t0.3\t6\t5\t66648\tOther Credit\n1.18\t81529\t46\t2150\tMarried\t3\tPoor\tBachelor's Degree\t2\tNeed\t40000\t12\tFemale\tMediterranean\t79\tTenant\t0\t5\t1\tTechnician\tNo\tDelay\tLess Than Seven Years\t1\tCo Applicant\tYes\t1\tNo\t3\t2\t1\t1\t6450\t0.1\tTwo Months Late\tUnknown\t0\t5160\t5805\tYes\t4\tMedium\tClerical\tManager\tMarket\tOther\tHealth\t0.2\t0.2\t3\t1\t8\t8\t0\t0\t0\t75\tProduction\t7\t0.4\t9\t13\t7\t\t49\tYes\tSocial\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t226395\t0.9\t1\t0.95\t0.3\t0.3\t0.3\t6\t2\t81530\tOther Credit\n51.55\t70909\t42\t5250\tSingle\t3\tRich\tBachelor's Degree\t29\tHousing\t70000\t12\tFemale\tCentral Anatolia\t7\tTenant\t1\t2\t0\tProfessional\tYes\tRisky\tMore Than Seven Years\t0.8\tNone\tNo\t45\tNo\t2\t1\t0\t0\t15750\t0.5\t\tNo\t0\t3150\t12600\tYes\t4\tSmall\tFarmer\tClerical\tEating and Drinking\tTransportation\tElectronic\t0.3\t0.1\t0\t0\t60\t1\t4\t2\t6\t2\tScience\t0\t0.2\t0\t17\t10\t38\t35\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t541800\t0.3\t1\t0.65\t0.9\t0.4\t0.65\t6\t2\t70910\tOther Credit\n50.45\t25788\t54\t6250\tMarried\t3\tRich\tBachelor's Degree\t21\tHousing\t105000\t108\tFemale\tMarmara\t26\tOwner\t2\t4\t1\tProfessional\tNo\tDuly Now\tLess Than Four Years\t0.8\tCo Applicant\tNo\t83\tNo\t3\t2\t0\t2\t18750\t0.2\tNormal\tNo\t0\t11250\t9375\tYes\t4\tMedium\tArmy\tRetired\tEating and Drinking\tElectronic\tOther\t0.4\t0.1\t6\t5\t256\t8\t2\t10\t25\t222\tTourism\t22\t0.8\t4\t18\t23\t15\t40\tNo\tNo Post\t7.5\t4.8\t\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t290625\t1\t1\t1\t0.1\t0.2\t0.15\t5\t2\t3\tOther Credit\n1.18\t82537\t29\t2750\tMarried\t1\tAverage\tMaster's Degree\t12\tEducation\t10000\t12\tMale\tMediterranean\t57\tTenant\t3\t2\t0\tArmy\tYes\tNot Taken\tLess Than One Year\t0.9\tGuarantor\tNo\t9\tNo\t1\t0\t1\t1\t8250\t0.1\tTwo Months Late\tYes\t2\t3300\t5775\tYes\t2\tSmall\tRetired\tProfessional\tMarket\tOther\tTransportation\t0.5\t0.1\t10\t1\t29\t1\t3\t1\t2\t48\tConsulting\t4\t0.1\t0\t3\t26\t20\t51\tYes\tBusiness\t7.5\t4.8\t10.1\t\t187.86\t0.65\t7.15\tSilver\tSegment3\t323400\t0.9\t0.9\t0.9\t0.1\t0.1\t0.1\t8\t3\t82538\tOther Credit\n1.18\t84014\t34\t2150\tSingle\t3\tPoor\tBachelor's Degree\t23\tEducation\t20000\t24\tMale\tMediterranean\t45\tTenant\t3\t3\t0\tManager\tNo\tRisky\tUnemployed\t0.9\tNone\tNo\t50\tNo\t3\t2\t0\t0\t6450\t0.6\tFour Months Late\tUnknown\t0\t3225\t4515\tNo\t4\tBig\tManager\tUnemployed\tEating and Drinking\tOther\tElectronic\t0.1\t0.2\t1\t0\t30\t27\t2\t1\t3\t79\tTourism\t7\t0.4\t1\t7\t11\t30\t51\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t230265\t0.6\t0.9\t0.75\t0.9\t\t0.8\t7\t1\t84015\tOther Credit\n1.18\t6071\t47\t2750\tSingle\t2\tAverage\tMaster's Degree\t4\tHousing\t45000\t60\tMale\tMarmara\t56\tTenant\t2\t2\t0\tTechnician\tNo\tDuly Past\tUnemployed\t0.5\tNone\tYes\t49\tNo\t2\t0\t0\t1\t8250\t0.6\tTwo Months Late\tYes\t1\t1650\t2475\tYes\t3\tMedium\tUnemployed\t\tMarket\tEating and Drinking\tBills\t0.3\t0.2\t3\t5\t688\t8\t0\t27\t68\t74\tEducation\t7\t0.5\t5\t1\t6\t20\t68\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t94050\t0.2\t0.1\t0.15\t0.3\t0.2\t0.25\t6\t7\t3\tOther Credit\n1.18\t66998\t59\t2150\tMarried\t1\tAverage\tMaster's Degree\t2\tHousing\t50000\t168\tMale\tSoutheast Anatolia\t74\tTenant\t2\t5\t2\tProfessional\tYes\tDuly Now\tLess Than One Year\t0.6\tNone\tNo\t36\tNo\t2\t2\t1\t0\t6450\t0\tTwo Months Late\tYes\t3\t1290\t2580\tYes\t2\tSmall\tTechnician\tArmy\tBills\tElectronic\tOther\t0.4\t0.1\t9\t0\t48\t30\t3\t1\t4\t31\tDesign\t3\t0.3\t2\t6\t25\t26\t41\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\t\t67080\t0.1\t0.5\t0.3\t0.1\t0.2\t0.15\t5\t5\t66999\tOther Credit\n100\t43195\t42\t5250\tMarried\t2\tVery Rich\tBachelor's Degree\t32\tAuto\t30000\t12\tFemale\tCentral Anatolia\t34\tOwner\t1\t4\t2\tProfessional\tYes\tDelay\tLess Than Seven Years\t0.9\tNone\tYes\t25\tNo\t2\t2\t0\t0\t15750\t0.2\tNormal\tNo\t0\t1575\t12600\tYes\t3\tBig\tRetired\tUnemployed\tBills\tMarket\tHealth\t0.3\t0.2\t2\t1\t500\t24\t1\t20\t50\t187\tEducation\t18\t0.7\t1\t19\t10\t12\t58\tYes\tPolitics\t\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tGold\tSegment1\t541800\t0.1\t0.8\t0.45\t0.5\t0.3\t0.4\t6\t8\t3\tGood Credit\n51.55\t72127\t64\t4250\tSingle\t5\tRich\tBachelor's Degree\t\tHousing\t15000\t84\tFemale\tBlack Sea\t60\tOwner\t0\t2\t0\tManager\tYes\tNot Taken\tLess Than One Year\t0.5\tGuarantor\tYes\t39\tNo\t2\t0\t0\t0\t12750\t0.7\tNormal\tUnknown\t0\t12750\t6375\tYes\t6\tMedium\tWorker\tArmy\tEating and Drinking\tTransportation\tOther\t0.1\t0.1\t2\t5\t486\t1\t3\t19\t48\t178\tFinance\t17\t0.6\t2\t13\t28\t26\t31\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t133875\t0.6\t0.7\t0.65\t0.4\t0.4\t0.4\t4\t3\t72128\tGood Credit\n51.55\t72724\t63\t6250\tMarried\t6\tRich\tBachelor's Degree\t37\tHousing\t50000\t240\tFemale\tAegean\t87\tOwner\t1\t6\t2\tProfessional\tYes\tDuly Past\tLess Than One Year\t0.9\tGuarantor\tNo\t65\tNo\t3\t0\t1\t1\t18750\t0\tNormal\tNo\t0\t11250\t13125\tYes\t7\tMedium\tArmy\tArmy\tMarket\t\tEating and Drinking\t0.2\t0.2\t8\t0\t108\t24\t4\t4\t10\t14\tEnergy\t1\t0.3\t13\t8\t0\t12\t67\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t288750\t0.6\t0.5\t0.55\t0.2\t0.5\t0.35\t4\t5\t72725\tGood Credit\n54.71\t69983\t60\t4250\tMarried\t6\tRich\tBachelor's Degree\t8\tEducation\t15000\t12\tFemale\tSoutheast Anatolia\t29\tOwner\t3\t4\t2\tManager\tNo\tDelay\tLess Than Four Years\t\tNone\tNo\t2\tNo\t1\t1\t1\t2\t12750\t0.7\tNormal\tUnknown\t1\t6375\t1275\tYes\t7\tMedium\tManager\tUnemployed\tEating and Drinking\tTransportation\tMarket\t0.3\t0.2\t0\t0\t212\t2\t4\t8\t21\t35\tScience\t3\t0.1\t2\t14\t25\t44\t15\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t31875\t0.7\t0.1\t0.4\t0.1\t0.4\t0.25\t4\t7\t69984\tGood Credit\n64.96\t36094\t45\t3750\tMarried\t2\tRich\tDoctorate Degree\t85\tEducation\t10000\t24\tFemale\tMarmara\t5\tOwner\t3\t3\t2\tManager\tYes\tDelay\tUnemployed\t0.8\tCo Applicant\tNo\t9\tNo\t1\t2\t0\t2\t11250\t0.3\tNormal\tNo\t0\t7874\t4500\tYes\t3\tMedium\tProfessional\tManager\tEating and Drinking\tElectronic\tMarket\t0.5\t0.1\t9\t0\t371\t2\t3\t14\t37\t268\tDesign\t26\t\t2\t9\t25\t34\t30\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t180000\t1\t0.5\t0.75\t0.3\t0.5\t0.4\t6\t2\t3\tGood Credit\n1.18\t18121\t27\t2750\tMarried\t5\tPoor\tBachelor's Degree\t8\tNeed\t25000\t24\tFemale\tMediterranean\t82\tTenant\t2\t3\t2\tClerical\tNo\tDelay\tLess Than One Year\t0.6\tGuarantor\tYes\t12\tNo\t1\t0\t0\t0\t8250\t0.3\tFour Months Late\tNo\t0\t4950\t4950\tYes\t6\tBig\tArmy\tUnemployed\tEating and Drinking\tElectronic\tTransportation\t0.1\t0.2\t2\t0\t55\t1\t4\t2\t5\t47\tHealth\t4\t0.2\t3\t2\t23\t15\t57\tYes\tPolitics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t287100\t0.8\t0.7\t0.75\t0.3\t0.2\t0.25\t8\t3\t2\tGood Credit\n100\t68539\t65\t4250\tSingle\t2\tVery Rich\tBachelor's Degree\t15\tEducation\t20000\t12\tFemale\tMarmara\t62\tOwner\t2\t5\t2\tManager\tNo\tDelay\tLess Than Four Years\t0.8\tGuarantor\tNo\t10\tNo\t2\t2\t1\t2\t12750\t0.1\tOne Month Late\tNo\t0\t2550\t1275\tYes\t3\tBig\tWorker\tRetired\tEating and Drinking\tMarket\tBills\t0.2\t0.2\t2\t1\t310\t6\t0\t12\t31\t39\tHealth\t3\t0.2\t\t8\t5\t34\t42\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tGold\tSegment1\t25500\t0.1\t0.2\t0.15\t0.5\t0.2\t0.35\t4\t6\t68540\tGood Credit\n51.55\t40355\t34\t3750\tMarried\t2\tRich\tDoctorate Degree\t9\tAuto\t40000\t48\tMale\tCentral Anatolia\t42\tTenant\t2\t3\t2\tManager\tYes\tNot Taken\tLess Than Four Years\t0.6\tCo Applicant\tYes\t65\tNo\t1\t0\t0\t1\t11250\t0.9\tOne Month Late\tNo\t0\t10125\t9000\tYes\t3\tMedium\tClerical\tFarmer\tEating and Drinking\tBills\tMarket\t0.5\t0.2\t3\t1\t450\t7\t4\t18\t\t38\tEnergy\t3\t0.3\t11\t11\t19\t19\t40\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t459000\t0.5\t0.5\t0.5\t0.2\t0.4\t0.3\t7\t8\t2\tGood Credit\n100\t51666\t54\t5250\tSingle\t1\tVery Rich\tBachelor's Degree\t10\tNeed\t35000\t12\tMale\tMarmara\t47\tOwner\t2\t4\t0\tManager\tNo\tDelay\tLess Than Four Years\t0.7\tGuarantor\tYes\t2\tNo\t3\t0\t1\t2\t15750\t0.8\tNormal\tUnknown\t1\t14175\t11025\tYes\t2\tMedium\tUnemployed\tUnemployed\tEating and Drinking\t\tTransportation\t0.2\t0.2\t0\t6\t372\t8\t0\t14\t37\t35\tFinance\t3\t0.3\t7\t11\t24\t39\t19\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tGold\tSegment1\t341775\t1\t0.9\t0.95\t0.3\t0.3\t0.3\t5\t1\t3\tGood Credit\n50.45\t33239\t43\t6250\tMarried\t3\tRich\tBachelor's Degree\t14\tNeed\t45000\t24\tFemale\tCentral Anatolia\t10\tTenant\t2\t5\t2\tManager\tYes\tDuly Past\tLess Than One Year\t0.6\tCo Applicant\tYes\t64\tNo\t2\t0\t1\t2\t18750\t0.2\tNormal\tNo\t0\t9375\t11250\tYes\t4\tMedium\tFarmer\tFarmer\tEating and Drinking\tTransportation\tMarket\t0.4\t0.1\t0\t1\t\t9\t3\t16\t42\t33\tTransportation\t3\t0.1\t1\t5\t7\t36\t51\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t472500\t0.8\t0.5\t0.65\t0.5\t0.5\t0.5\t6\t8\t3\tGood Credit\n51.55\t62034\t18\t6250\tMarried\t3\tRich\tBachelor's Degree\t10\tHousing\t60000\t156\tMale\tCentral Anatolia\t49\tOwner\t3\t3\t1\tProfessional\tNo\tDuly Past\tLess Than Four Years\t0.9\tCo Applicant\tNo\t29\tNo\t1\t2\t1\t0\t18750\t0.7\tNormal\tUnknown\t0\t7500\t16875\tNo\t4\tMedium\tArmy\tProfessional\tBills\tHealth\tOther\t0.4\t0.1\t0\t4\t144\t6\t4\t5\t14\t43\tEducation\t4\t0.1\t8\t11\t23\t44\t14\tYes\tFuture\t7.5\t4.8\t10.1\t\t187.86\t0.65\t7.15\tSilver\tSegment2\t1130625\t0.9\t0.6\t0.75\t0.7\t0.8\t0.75\t9\t2\t62035\tGood Credit\n100\t79936\t69\t5250\tMarried\t1\tVery Rich\tBachelor's Degree\t15\tHousing\t50000\t48\tMale\tEastern Anatolia\t36\tOwner\t2\t2\t0\tManager\tNo\tDuly Past\tUnemployed\t0.5\tNone\tYes\t71\tNo\t1\t0\t1\t2\t15750\t0.4\tNormal\tNo\t0\t3150\t12600\tNo\t2\tMedium\tManager\tUnemployed\tBills\tMarket\tOther\t0.5\t0.1\t2\t0\t385\t2\t2\t15\t38\t25\tScience\t2\t0.2\t12\t3\t2\t4\t79\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\t\tSegment1\t201600\t0.3\t0.7\t0.5\t0.5\t0.2\t0.35\t4\t5\t79937\tGood Credit\n100\t5080\t26\t6250\tDivorced\t1\tVery Rich\tBachelor's Degree\t14\tNeed\t35000\t24\tMale\tAegean\t26\tOwner\t2\t3\t0\tProfessional\tYes\tRisky\tUnemployed\t0.8\tNone\tNo\t45\tNo\t2\t0\t1\t1\t18750\t0.5\tOne Month Late\tNo\t0\t5625\t16875\tYes\t2\tMedium\tArmy\tProfessional\tMarket\tBills\tEating and Drinking\t0.2\t0.1\t8\t1\t552\t30\t4\t22\t55\t184\tHealth\t18\t0.7\t6\t10\t23\t25\t36\tYes\tSocial\t7.5\t4.8\t10.1\t127.2\t\t0.65\t7.15\tGold\tSegment1\t995625\t0.1\t0.5\t0.3\t0.4\t0.4\t0.4\t8\t6\t2\tGood Credit\n100\t76874\t45\t4250\tMarried\t2\tVery Rich\tBachelor's Degree\t37\tNeed\t30000\t24\tMale\tCentral Anatolia\t4\tOwner\t0\t5\t2\tManager\tYes\tRisky\tUnemployed\t\tCo Applicant\tYes\t31\tNo\t2\t0\t1\t1\t12750\t0.3\tNormal\tUnknown\t1\t1275\t1275\tYes\t3\tMedium\tWorker\tRetired\tEating and Drinking\tHealth\tBills\t0.2\t0.1\t9\t0\t38\t7\t1\t1\t3\t43\tEducation\t4\t0.2\t3\t0\t25\t28\t44\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tGold\tSegment1\t51000\t0.2\t0.3\t0.25\t0.4\t0.1\t0.25\t6\t8\t76875\tGood Credit\n56.96\t77661\t63\t5250\tMarried\t3\tRich\tBachelor's Degree\t12\tHousing\t45000\t36\tMale\tBlack Sea\t20\tOwner\t3\t3\t2\tManager\tYes\tDuly Past\tMore Than Seven Years\t0.9\tNone\tNo\t9\tNo\t1\t2\t0\t2\t15750\t0.9\tNormal\tUnknown\t1\t15750\t9450\tYes\t4\tMedium\tTechnician\tArmy\tEating and Drinking\tBills\tHealth\t0.1\t0.2\t3\t1\t350\t\t3\t14\t35\t47\tProduction\t4\t0.3\t8\t1\t1\t7\t83\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t207900\t1\t0.9\t0.95\t0.5\t0.1\t0.3\t4\t2\t77662\tGood Credit\n100\t48299\t70\t5250\tMarried\t1\tVery Rich\tBachelor's Degree\t10\tNeed\t30000\t12\tMale\tMediterranean\t33\tOwner\t2\t4\t2\tManager\tYes\tDuly Past\tUnemployed\t0.8\tCo Applicant\tNo\t9\tNo\t1\t2\t1\t2\t15750\t0.4\tNormal\tUnknown\t0\t11025\t4725\tYes\t2\tMedium\tArmy\tProfessional\tBills\tElectronic\tMarket\t0.5\t0.1\t8\t0\t68\t1\t2\t2\t6\t54\tTourism\t5\t0.4\t11\t19\t26\t18\t26\tYes\tProduct\t\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tGold\tSegment1\t70875\t0.6\t0.1\t0.35\t0.4\t0.3\t0.35\t3\t7\t5\tGood Credit\n51.55\t5519\t27\t4250\t\t6\tRich\tBachelor's Degree\t6\tAuto\t35000\t12\tMale\tBlack Sea\t10\tTenant\t3\t3\t2\tProfessional\tNo\tNot Taken\tLess Than One Year\t0.7\tGuarantor\tYes\t67\tNo\t1\t1\t0\t0\t12750\t0.2\tNormal\tUnknown\t1\t10200\t5100\tNo\t7\tBig\tProfessional\tUnemployed\tMarket\tHealth\tEating and Drinking\t0.3\t0.1\t1\t1\t22\t27\t1\t0\t2\t33\tScience\t3\t0.2\t5\t4\t9\t44\t38\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t295800\t0.8\t1\t0.9\t0.5\t0.3\t0.4\t8\t1\t2\tOther Credit\n1.18\t69551\t48\t2750\tMarried\t6\tPoor\tBachelor's Degree\t60\t\t25000\t12\tFemale\tAegean\t45\tTenant\t2\t4\t2\tTechnician\tNo\tDuly Past\tLess Than Four Years\t0.9\tNone\tYes\t94\tNo\t2\t0\t0\t1\t8250\t0.6\tNormal\tNo\t0\t7425\t4125\tYes\t7\tSmall\tRetired\tUnemployed\tEating and Drinking\tMarket\tOther\t0.5\t0.1\t9\t4\t284\t9\t4\t11\t28\t38\tTourism\t3\t0.1\t8\t3\t22\t1\t66\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t152625\t0.5\t0.6\t0.55\t0.2\t0.1\t0.15\t6\t5\t69552\tOther Credit\n1.18\t38018\t62\t2750\tSingle\t6\tPoor\tBachelor's Degree\t32\tNeed\t25000\t24\tMale\tMarmara\t9\tTenant\t0\t2\t0\tFarmer\tYes\tDuly Past\tUnemployed\t0.9\tCo Applicant\tYes\t32\t\t2\t1\t0\t2\t8250\t0\tNormal\tUnknown\t0\t2475\t4125\tNo\t7\tSmall\tManager\tRetired\tMarket\tEating and Drinking\tHealth\t0.3\t0.1\t0\t5\t485\t8\t0\t19\t48\t38\tEnergy\t3\t0.3\t0\t12\t4\t1\t83\tYes\tSocial\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t94875\t0.5\t0.5\t0.5\t0.5\t0.1\t0.3\t4\t3\t4\tOther Credit\n1.18\t44671\t23\t2750\tMarried\t2\tAverage\tMaster's Degree\t\tAuto\t45000\t48\tFemale\tMarmara\t77\tTenant\t0\t4\t2\tManager\tYes\tRisky\tLess Than Four Years\t0.8\tCo Applicant\tYes\t87\tNo\t2\t0\t0\t1\t8250\t0.6\tNormal\tNo\t0\t3300\t825\tYes\t3\tMedium\tRetired\tFarmer\tEating and Drinking\tMarket\tElectronic\t0.4\t0.1\t3\t1\t136\t21\t2\t5\t13\t80\tScience\t8\t0.3\t9\t3\t3\t2\t83\tYes\tBusiness\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t51150\t0.8\t0.2\t0.5\t0.2\t0.3\t0.25\t8\t5\t1\tOther Credit\n1.18\t57504\t60\t2750\tMarried\t1\tAverage\tMaster's Degree\t11\tHousing\t60000\t264\tFemale\tAegean\t44\tTenant\t0\t3\t1\tTechnician\tYes\tRisky\tUnemployed\t0.5\tGuarantor\tNo\t81\tNo\t1\t2\t1\t2\t8250\t0.1\tMore Than Four Months\tNo\t0\t3300\t7425\tNo\t\tBig\tRetired\tRetired\tEating and Drinking\tTransportation\tElectronic\t0.2\t0.1\t2\t1\t224\t9\t3\t8\t22\t171\tDesign\t17\t0.5\t6\t7\t14\t10\t63\tYes\tCulture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t185625\t0.6\t0.9\t0.75\t0.7\t0.6\t0.65\t4\t1\t4\tOther Credit\n1.18\t11730\t71\t2750\t\t2\tAverage\tMaster's Degree\t8\tNeed\t45000\t36\tMale\tMarmara\t96\tTenant\t3\t5\t2\tManager\tNo\tDelay\tLess Than Seven Years\t1\tCo Applicant\tYes\t56\tNo\t2\t1\t1\t0\t8250\t0.1\tMore Than Four Months\tYes\t3\t8250\t1650\tYes\t3\tMedium\tRetired\tUnemployed\tBills\tTransportation\tEating and Drinking\t0.5\t0.2\t6\t1\t39\t6\t2\t1\t3\t26\tScience\t2\t0.3\t6\t6\t29\t8\t51\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t23100\t1\t0.4\t0.7\t0.1\t0.1\t0.1\t3\t7\t5\tOther Credit\n1.18\t96739\t26\t3750\tDivorced\t3\tAverage\tMaster's Degree\t20\tNeed\t35000\t36\tFemale\tMediterranean\t96\tTenant\t3\t5\t2\tTechnician\tNo\t\tMore Than Seven Years\t1\tGuarantor\tYes\t49\tNo\t2\t0\t1\t1\t11250\t0\tNormal\tNo\t0\t5625\t6750\tYes\t4\tMedium\tWorker\tTechnician\tEating and Drinking\tHealth\tMarket\t0.3\t0.1\t9\t6\t450\t2\t0\t18\t45\t10\tConsulting\t1\t0.2\t10\t7\t10\t5\t68\tYes\tSocial\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment3\t398250\t1\t0.5\t0.75\t0.2\t0.5\t0.35\t8\t8\t2\tOther Credit\n51.55\t31665\t36\t3750\tMarried\t1\tRich\tDoctorate Degree\t29\tAuto\t30000\t24\tFemale\tMediterranean\t5\tTenant\t3\t3\t1\tManager\tYes\tDelay\tLess Than Seven Years\t1\tCo Applicant\tNo\t56\tNo\t1\t1\t1\t1\t11250\t0.6\tNormal\tNo\t1\t2250\t\tYes\t2\tMedium\tWorker\tUnemployed\tEating and Drinking\tElectronic\tHealth\t0.4\t0.2\t1\t0\t34\t24\t0\t1\t3\t177\tEducation\t17\t0.7\t2\t15\t6\t10\t67\tYes\tFuture\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t496125\t0.3\t0.9\t0.6\t0.1\t0.3\t0.2\t7\t4\t2\tOther Credit\n1.18\t64266\t69\t2150\tSingle\t5\tPoor\tBachelor's Degree\t7\tNeed\t15000\t36\tFemale\t\t73\tTenant\t1\t4\t1\tWorker\tNo\tDelay\tMore Than Seven Years\t0.5\tNone\tNo\t35\tNo\t3\t2\t0\t0\t6450\t0.7\tFour Months Late\tUnknown\t0\t645\t1935\tYes\t6\tMedium\tClerical\tFarmer\tEating and Drinking\tOther\tMarket\t0.5\t0.1\t2\t4\t230\t9\t3\t9\t23\t282\tLaw\t28\t0.8\t0\t18\t14\t2\t66\tNo\tNo Post\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t30960\t0.2\t0.5\t0.35\t0.3\t0.1\t0.2\t4\t7\t64267\tOther Credit\n1.18\t3392\t59\t2750\t\t3\tPoor\tBachelor's Degree\t13\tNeed\t10000\t24\tMale\tAegean\t5\tTenant\t3\t5\t2\tArmy\tYes\tDuly Now\tLess Than Four Years\t0.7\tCo Applicant\tNo\t53\tNo\t2\t1\t1\t1\t8250\t0\tTwo Months Late\tNo\t1\t3300\t2475\tNo\t4\tMedium\tRetired\tRetired\tMarket\tEating and Drinking\tOther\t0.2\t0.2\t0\t0\t140\t24\t4\t5\t14\t209\tTransportation\t20\t0.6\t3\t3\t5\t26\t63\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t64350\t0.9\t0.3\t0.6\t0.1\t0.4\t0.25\t5\t8\t4\tOther Credit\n1.18\t2703\t18\t2750\tSingle\t6\tPoor\tBachelor's Degree\t52\tEducation\t10000\t24\tFemale\tEastern Anatolia\t27\tTenant\t2\t2\t0\tManager\tNo\tRisky\tLess Than Seven Years\t0.5\tCo Applicant\tYes\t37\tNo\t1\t2\t1\t1\t8250\t0\tThree Months Late\tNo\t1\t7425\t6600\tYes\t7\tBig\tUnemployed\tUnemployed\tBills\tElectronic\tMarket\t0.5\t0.1\t3\t6\t423\t1\t0\t16\t42\t192\tLaw\t19\t0.6\t11\t12\t26\t28\t23\tYes\tEconomics\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment4\t442200\t0.7\t0.7\t0.7\t0.7\t0.7\t0.7\t9\t2\t1\tGood Credit\n1.18\t98780\t30\t500\tMarried\t3\tVery Poor\tPrimary School Grad\t66\tNeed\t20000\t12\tMale\tMediterranean\t63\tFamily Home\t2\t6\t2\tFarmer\tNo\tNot Taken\tLess Than Four Years\t0.9\tCo Applicant\tYes\t8\tNo\t3\t2\t1\t2\t1500\t0.7\tTwo Months Late\tYes\t3\t600\t750\tYes\t4\tMedium\tRetired\tRetired\tBills\tMarket\tElectronic\t0.5\t0.1\t6\t1\t472\t27\t4\t18\t47\t19\tScience\t1\t0.2\t1\t10\t11\t25\t53\tYes\tThemselves\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tBronze\tSegment5\t41250\t1\t0.7\t0.85\t0.4\t0.3\t0.35\t7\t3\t2\tGood Credit\n56.96\t10215\t52\t\tMarried\t2\tRich\tDoctorate Degree\t4\tNeed\t30000\t24\tFemale\tSoutheast Anatolia\t54\tOwner\t3\t3\t1\tProfessional\tNo\tNot Taken\tMore Than Seven Years\t0.6\tGuarantor\tNo\t63\tNo\t2\t2\t0\t2\t11250\t0\tNormal\tNo\t0\t1125\t4500\tNo\t3\tMedium\tUnemployed\tRetired\tEating and Drinking\tTransportation\tMarket\t0.4\t0.1\t7\t1\t18\t7\t3\t0\t1\t44\tHealth\t4\t0.1\t9\t13\t12\t41\t25\tYes\tProduct\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t148500\t0.4\t0.9\t0.65\t0.5\t0.5\t0.5\t5\t1\t3\tGood Credit\n51.55\t48156\t31\t3750\tMarried\t2\tRich\tDoctorate Degree\t18\tEducation\t10000\t24\tMale\tMarmara\t93\tTenant\t3\t4\t0\tManager\tYes\tNot Taken\tLess Than Seven Years\t0.5\tGuarantor\tYes\t1\tNo\t3\t2\t1\t1\t11250\t0.1\tOne Month Late\tNo\t0\t5625\t6750\tYes\t3\tBig\tProfessional\tUnemployed\tEating and Drinking\tElectronic\tMarket\t0.2\t0.1\t1\t0\t196\t21\t4\t7\t19\t28\tFinance\t2\t0.1\t4\t13\t12\t32\t39\tNo\t\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t364500\t0.7\t0.7\t0.7\t0.5\t1\t0.75\t7\t3\t2\tGood Credit\n51.55\t62488\t67\t3750\tMarried\t2\tRich\tDoctorate Degree\t5\tAuto\t10000\t36\tMale\t\t21\tOwner\t2\t4\t1\tManager\tYes\tRisky\tLess Than One Year\t1\tNone\tNo\t25\tNo\t3\t1\t0\t0\t11250\t0.3\tNormal\tNo\t0\t5625\t9000\tYes\t3\tMedium\tProfessional\tTechnician\tEating and Drinking\tElectronic\tTransportation\t0.3\t0.1\t7\t1\t64\t7\t4\t2\t6\t54\tTourism\t5\t0.4\t0\t9\t24\t15\t52\tYes\tEducation\t7.5\t4.8\t10.1\t127.2\t187.86\t0.65\t7.15\tSilver\tSegment2\t162000\t1\t0.5\t0.75\t0.2\t0.3\t0.25\t4\t3\t62489\tGood Credit\n"}]},"jobName":"paragraph_1563775868170_259716405","id":"20190722-061108_1915079794","dateCreated":"2018-06-27T18:49:20+0000","dateStarted":"2019-07-24T00:55:29+0000","dateFinished":"2019-07-24T00:55:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3190"},{"title":"좋은 신용도를 가지는 고객은 찾기가 힘듭니다.","text":"%sql \nselect customer_id, credit_score_bin from credit_scoring_100k_v;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:01:25+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"CREDIT_SCORE_BIN","index":85,"aggr":"sum"}],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}],"scatter":{"yAxis":{"name":"AGE","index":1,"aggr":"sum"},"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"pieChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"stacked":false}},"commonSetting":{},"keys":[{"name":"CREDIT_SCORE_BIN","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUSTOMER_ID\tCREDIT_SCORE_BIN\n30670\tOther Credit\n26687\tOther Credit\n68545\tOther Credit\n4867\tOther Credit\n9960\tOther Credit\n22699\tOther Credit\n84140\tOther Credit\n70266\tOther Credit\n63845\tOther Credit\n53269\tOther Credit\n14297\tOther Credit\n59506\tOther Credit\n71877\tOther Credit\n73009\tOther Credit\n31972\tOther Credit\n96849\tOther Credit\n81293\tOther Credit\n45668\tOther Credit\n21278\tOther Credit\n57806\tOther Credit\n74445\tOther Credit\n21727\tOther Credit\n92852\tOther Credit\n55639\tOther Credit\n76329\tOther Credit\n81606\tOther Credit\n86924\tOther Credit\n66222\tOther Credit\n23649\tOther Credit\n39450\tOther Credit\n90208\tOther Credit\n89957\tOther Credit\n23438\tOther Credit\n77246\tOther Credit\n41284\tOther Credit\n1024\tOther Credit\n23152\tOther Credit\n30895\tOther Credit\n71383\tOther Credit\n30800\tOther Credit\n71437\tOther Credit\n56273\tOther Credit\n79477\tOther Credit\n30391\tOther Credit\n23302\tOther Credit\n34922\tOther Credit\n92451\tOther Credit\n38043\tOther Credit\n10370\tOther Credit\n59839\tOther Credit\n85061\tOther Credit\n7020\tOther Credit\n47878\tOther Credit\n8281\tOther Credit\n87673\tOther Credit\n50806\tOther Credit\n39817\tOther Credit\n50919\tOther Credit\n95029\tOther Credit\n64796\tOther Credit\n79229\tOther Credit\n57523\tOther Credit\n93087\tOther Credit\n610\tOther Credit\n72493\tOther Credit\n5992\tOther Credit\n28994\tOther Credit\n31702\tOther Credit\n30245\tOther Credit\n69557\tOther Credit\n97569\tOther Credit\n31617\tOther Credit\n66464\tOther Credit\n89962\tOther Credit\n68674\tOther Credit\n37096\tOther Credit\n26360\tOther Credit\n11244\tOther Credit\n92155\tOther Credit\n10663\tOther Credit\n82410\tOther Credit\n65151\tOther Credit\n12355\tOther Credit\n44367\tOther Credit\n47208\tOther Credit\n86913\tOther Credit\n42997\tOther Credit\n14310\tOther Credit\n66285\tOther Credit\n24246\tOther Credit\n74738\tOther Credit\n4189\tOther Credit\n38120\tOther Credit\n75\tOther Credit\n28446\tOther Credit\n40974\tOther Credit\n68487\tOther Credit\n30105\tOther Credit\n14064\tOther Credit\n16600\tOther Credit\n37385\tOther Credit\n87337\tOther Credit\n50167\tOther Credit\n66542\tOther Credit\n87496\tOther Credit\n41873\tOther Credit\n88936\tOther Credit\n65268\tOther Credit\n23830\tOther Credit\n80933\tOther Credit\n75704\tOther Credit\n27813\tOther Credit\n98694\tOther Credit\n45080\tOther Credit\n59001\tOther Credit\n39222\tOther Credit\n86809\tOther Credit\n40077\tOther Credit\n52448\tOther Credit\n61391\tOther Credit\n17066\tOther Credit\n26943\tOther Credit\n40124\tOther Credit\n30665\tOther Credit\n28840\tOther Credit\n9898\tOther Credit\n49439\tOther Credit\n18951\tOther Credit\n73767\tOther Credit\n80834\tOther Credit\n35944\tOther Credit\n20302\tOther Credit\n2782\tOther Credit\n17547\tOther Credit\n20359\tOther Credit\n96764\tOther Credit\n59566\tOther Credit\n29675\tOther Credit\n86180\tOther Credit\n72754\tOther Credit\n78863\tOther Credit\n20709\tOther Credit\n33548\tOther Credit\n90722\tOther Credit\n55627\tOther Credit\n23330\tOther Credit\n88472\tOther Credit\n29109\tOther Credit\n21607\tOther Credit\n45889\tOther Credit\n11588\tOther Credit\n14837\tOther Credit\n96139\tOther Credit\n51440\tOther Credit\n40599\tOther Credit\n9691\tOther Credit\n56043\tOther Credit\n73801\tOther Credit\n47964\tOther Credit\n38710\tOther Credit\n14641\tOther Credit\n44657\tOther Credit\n15867\tOther Credit\n87983\tOther Credit\n89598\tOther Credit\n95499\tOther Credit\n14733\tOther Credit\n39948\tOther Credit\n74606\tOther Credit\n74595\tOther Credit\n88408\tOther Credit\n35308\tOther Credit\n70405\tOther Credit\n74569\tOther Credit\n99479\tOther Credit\n78784\tOther Credit\n65088\tOther Credit\n95594\tOther Credit\n38060\tOther Credit\n94775\tOther Credit\n42800\tOther Credit\n75123\tOther Credit\n95645\tOther Credit\n10106\tOther Credit\n13708\tOther Credit\n88963\tOther Credit\n996\tOther Credit\n19668\tOther Credit\n4409\tOther Credit\n7418\tOther Credit\n46432\tOther Credit\n39704\tOther Credit\n26756\tOther Credit\n22241\tOther Credit\n84042\tOther Credit\n65572\tOther Credit\n82335\tOther Credit\n59697\tOther Credit\n14000\tOther Credit\n11402\tOther Credit\n6531\tOther Credit\n91518\tOther Credit\n61195\tOther Credit\n3872\tOther Credit\n73184\tOther Credit\n67162\tOther Credit\n61658\tOther Credit\n29717\tOther Credit\n34077\tOther Credit\n10454\tOther Credit\n91521\tOther Credit\n10455\tOther Credit\n45531\tOther Credit\n97985\tOther Credit\n19998\tGood Credit\n22797\tGood Credit\n87480\tGood Credit\n86747\tGood Credit\n38923\tGood Credit\n57864\tGood Credit\n34984\tGood Credit\n87520\tGood Credit\n50791\tOther Credit\n56613\tOther Credit\n37923\tOther Credit\n90189\tOther Credit\n89937\tOther Credit\n31403\tOther Credit\n11754\tOther Credit\n81217\tOther Credit\n82832\tOther Credit\n25365\tOther Credit\n1637\tOther Credit\n49035\tOther Credit\n6661\tOther Credit\n55226\tOther Credit\n55905\tOther Credit\n41202\tOther Credit\n87157\tOther Credit\n94903\tOther Credit\n51315\tOther Credit\n91650\tOther Credit\n81244\tOther Credit\n81252\tOther Credit\n76397\tGood Credit\n89909\tGood Credit\n62667\tGood Credit\n93390\tGood Credit\n15245\tGood Credit\n92277\tGood Credit\n49592\tOther Credit\n80738\tOther Credit\n23007\tOther Credit\n67157\tOther Credit\n32348\tOther Credit\n62498\tOther Credit\n95593\tOther Credit\n79449\tOther Credit\n18931\tOther Credit\n17104\tOther Credit\n58191\tOther Credit\n60495\tGood Credit\n36411\tGood Credit\n77441\tGood Credit\n11096\tGood Credit\n51638\tGood Credit\n78340\tGood Credit\n50218\tGood Credit\n85299\tOther Credit\n7462\tOther Credit\n36969\tOther Credit\n89636\tOther Credit\n4077\tOther Credit\n27134\tOther Credit\n18488\tOther Credit\n68803\tOther Credit\n45980\tOther Credit\n66040\tOther Credit\n64904\tOther Credit\n50966\tOther Credit\n86365\tOther Credit\n89132\tOther Credit\n24149\tOther Credit\n41927\tOther Credit\n29127\tOther Credit\n85317\tGood Credit\n37454\tGood Credit\n33097\tGood Credit\n94183\tGood Credit\n31843\tGood Credit\n52570\tGood Credit\n72995\tOther Credit\n75110\tOther Credit\n94871\tOther Credit\n13397\tOther Credit\n40895\tOther Credit\n58857\tOther Credit\n98874\tOther Credit\n60424\tOther Credit\n3818\tOther Credit\n64823\tOther Credit\n57524\tOther Credit\n21185\tOther Credit\n14067\tOther Credit\n20388\tOther Credit\n34887\tOther Credit\n90053\tGood Credit\n91110\tGood Credit\n90974\tGood Credit\n81989\tGood Credit\n32824\tGood Credit\n75757\tGood Credit\n87073\tGood Credit\n94498\tGood Credit\n83468\tGood Credit\n81163\tGood Credit\n61221\tGood Credit\n38881\tGood Credit\n25257\tOther Credit\n7362\tOther Credit\n52443\tOther Credit\n12424\tOther Credit\n74231\tOther Credit\n2127\tOther Credit\n92505\tOther Credit\n28924\tOther Credit\n73899\tOther Credit\n43056\tOther Credit\n41879\tOther Credit\n39705\tOther Credit\n7325\tOther Credit\n83873\tOther Credit\n76773\tOther Credit\n91202\tOther Credit\n24584\tOther Credit\n92700\tOther Credit\n3638\tOther Credit\n90863\tOther Credit\n42785\tOther Credit\n27397\tOther Credit\n81534\tGood Credit\n49413\tGood Credit\n81664\tGood Credit\n97603\tGood Credit\n98801\tGood Credit\n16189\tGood Credit\n81670\tGood Credit\n77848\tGood Credit\n78557\tGood Credit\n85323\tGood Credit\n95690\tGood Credit\n51873\tOther Credit\n18245\tOther Credit\n22412\tOther Credit\n89223\tOther Credit\n42502\tOther Credit\n31841\tOther Credit\n30995\tOther Credit\n32173\tOther Credit\n45763\tOther Credit\n97806\tOther Credit\n6830\tOther Credit\n60882\tOther Credit\n93116\tOther Credit\n59911\tOther Credit\n57636\tOther Credit\n57926\tOther Credit\n88847\tOther Credit\n29395\tOther Credit\n62558\tOther Credit\n21869\tOther Credit\n72232\tOther Credit\n75505\tGood Credit\n68228\tGood Credit\n82133\tGood Credit\n5836\tGood Credit\n83977\tGood Credit\n63866\tGood Credit\n86583\tGood Credit\n67961\tOther Credit\n87868\tOther Credit\n34325\tOther Credit\n79178\tOther Credit\n49438\tOther Credit\n16376\tOther Credit\n39643\tOther Credit\n79865\tOther Credit\n42169\tOther Credit\n48846\tOther Credit\n52949\tOther Credit\n48853\tOther Credit\n49353\tOther Credit\n11861\tOther Credit\n88711\tOther Credit\n84614\tOther Credit\n82684\tOther Credit\n98097\tOther Credit\n51545\tOther Credit\n50794\tOther Credit\n88178\tOther Credit\n19358\tOther Credit\n76844\tOther Credit\n95473\tOther Credit\n24135\tOther Credit\n48274\tGood Credit\n31278\tGood Credit\n39836\tGood Credit\n29111\tGood Credit\n78878\tGood Credit\n21447\tGood Credit\n11963\tGood Credit\n96380\tOther Credit\n82800\tOther Credit\n91413\tOther Credit\n38672\tOther Credit\n7495\tOther Credit\n4767\tOther Credit\n58119\tOther Credit\n23937\tOther Credit\n49194\tOther Credit\n76263\tOther Credit\n71483\tOther Credit\n3558\tOther Credit\n91410\tOther Credit\n14713\tOther Credit\n88827\tOther Credit\n95506\tOther Credit\n90087\tOther Credit\n23477\tOther Credit\n23171\tOther Credit\n82258\tOther Credit\n82295\tOther Credit\n46987\tOther Credit\n61862\tOther Credit\n25670\tOther Credit\n15852\tOther Credit\n37043\tOther Credit\n84172\tOther Credit\n90723\tOther Credit\n34136\tOther Credit\n60809\tOther Credit\n33203\tOther Credit\n21889\tOther Credit\n41541\tOther Credit\n86851\tOther Credit\n77763\tOther Credit\n17942\tOther Credit\n17904\tOther Credit\n6044\tOther Credit\n51598\tOther Credit\n47008\tOther Credit\n6673\tOther Credit\n2328\tOther Credit\n18741\tOther Credit\n93391\tOther Credit\n50745\tOther Credit\n57831\tOther Credit\n25129\tOther Credit\n25545\tOther Credit\n62331\tOther Credit\n3016\tOther Credit\n30883\tOther Credit\n48984\tOther Credit\n45577\tOther Credit\n89492\tOther Credit\n96776\tOther Credit\n35798\tOther Credit\n93616\tOther Credit\n67681\tOther Credit\n70802\tOther Credit\n1416\tOther Credit\n73811\tOther Credit\n47799\tOther Credit\n615\tOther Credit\n48371\tOther Credit\n97832\tOther Credit\n49980\tOther Credit\n39747\tOther Credit\n27912\tOther Credit\n71198\tOther Credit\n89522\tOther Credit\n80184\tOther Credit\n6750\tOther Credit\n72925\tOther Credit\n68195\tOther Credit\n91048\tOther Credit\n84216\tOther Credit\n95942\tOther Credit\n82576\tOther Credit\n58076\tOther Credit\n84749\tOther Credit\n41551\tOther Credit\n47215\tOther Credit\n44742\tOther Credit\n40433\tOther Credit\n801\tOther Credit\n82134\tOther Credit\n90991\tOther Credit\n97019\tOther Credit\n97943\tOther Credit\n50800\tOther Credit\n32380\tOther Credit\n3708\tOther Credit\n77932\tOther Credit\n9910\tOther Credit\n1322\tOther Credit\n68213\tOther Credit\n17686\tOther Credit\n13965\tOther Credit\n79412\tOther Credit\n73983\tOther Credit\n42532\tOther Credit\n17873\tOther Credit\n23303\tOther Credit\n17582\tOther Credit\n23298\tOther Credit\n8042\tOther Credit\n12179\tOther Credit\n49984\tOther Credit\n16122\tOther Credit\n97967\tOther Credit\n47498\tOther Credit\n8438\tOther Credit\n43891\tOther Credit\n89289\tOther Credit\n80990\tOther Credit\n33014\tOther Credit\n53421\tOther Credit\n17062\tOther Credit\n38193\tOther Credit\n77388\tOther Credit\n83535\tOther Credit\n73162\tOther Credit\n85181\tOther Credit\n55270\tOther Credit\n57336\tOther Credit\n26042\tOther Credit\n42311\tOther Credit\n82015\tOther Credit\n14417\tOther Credit\n46837\tOther Credit\n57949\tOther Credit\n854\tOther Credit\n6194\tOther Credit\n17827\tOther Credit\n41385\tOther Credit\n31413\tOther Credit\n9824\tOther Credit\n78297\tOther Credit\n98205\tOther Credit\n72349\tOther Credit\n19117\tOther Credit\n10306\tOther Credit\n45326\tOther Credit\n58685\tOther Credit\n60298\tOther Credit\n99822\tOther Credit\n97101\tOther Credit\n12234\tOther Credit\n12732\tOther Credit\n4497\tOther Credit\n64182\tOther Credit\n84453\tOther Credit\n37301\tOther Credit\n18665\tOther Credit\n14690\tOther Credit\n19745\tOther Credit\n26858\tOther Credit\n56746\tOther Credit\n50001\tOther Credit\n30861\tOther Credit\n69745\tOther Credit\n52164\tOther Credit\n55323\tOther Credit\n45638\tOther Credit\n34058\tOther Credit\n62143\tOther Credit\n71378\tOther Credit\n39775\tOther Credit\n22079\tOther Credit\n10943\tOther Credit\n65134\tOther Credit\n39483\tOther Credit\n47160\tOther Credit\n70478\tOther Credit\n53095\tOther Credit\n32498\tOther Credit\n42117\tOther Credit\n20881\tOther Credit\n19263\tOther Credit\n52971\tOther Credit\n31660\tOther Credit\n82009\tOther Credit\n26868\tOther Credit\n73824\tOther Credit\n66387\tOther Credit\n58940\tOther Credit\n70680\tOther Credit\n73629\tOther Credit\n51054\tOther Credit\n76503\tOther Credit\n59813\tOther Credit\n52785\tOther Credit\n52768\tOther Credit\n68782\tOther Credit\n45607\tOther Credit\n83377\tOther Credit\n43255\tOther Credit\n27060\tOther Credit\n5914\tOther Credit\n7947\tOther Credit\n8675\tOther Credit\n58166\tOther Credit\n58066\tOther Credit\n68596\tOther Credit\n85264\tOther Credit\n98434\tOther Credit\n98981\tOther Credit\n43851\tOther Credit\n91594\tOther Credit\n71675\tOther Credit\n84816\tOther Credit\n66491\tOther Credit\n35615\tOther Credit\n23576\tOther Credit\n25894\tOther Credit\n77376\tOther Credit\n41157\tOther Credit\n83599\tOther Credit\n90962\tOther Credit\n74857\tOther Credit\n54716\tOther Credit\n53614\tOther Credit\n17683\tOther Credit\n1989\tOther Credit\n77155\tOther Credit\n65759\tOther Credit\n30876\tOther Credit\n6742\tOther Credit\n51592\tOther Credit\n8139\tOther Credit\n93780\tOther Credit\n8744\tOther Credit\n47546\tOther Credit\n11079\tOther Credit\n98993\tOther Credit\n28638\tOther Credit\n94368\tOther Credit\n95476\tOther Credit\n12076\tOther Credit\n2307\tOther Credit\n40034\tOther Credit\n3278\tOther Credit\n57195\tOther Credit\n61871\tOther Credit\n22067\tOther Credit\n9692\tOther Credit\n39915\tOther Credit\n50217\tOther Credit\n22216\tOther Credit\n20821\tOther Credit\n2553\tOther Credit\n78263\tOther Credit\n92251\tOther Credit\n21003\tOther Credit\n42541\tOther Credit\n45789\tOther Credit\n51318\tOther Credit\n97773\tOther Credit\n74218\tOther Credit\n96871\tOther Credit\n82359\tOther Credit\n10992\tOther Credit\n72357\tOther Credit\n56570\tOther Credit\n84789\tOther Credit\n63584\tOther Credit\n57309\tOther Credit\n24840\tOther Credit\n49080\tOther Credit\n78810\tOther Credit\n61690\tOther Credit\n36816\tOther Credit\n39319\tOther Credit\n80874\tOther Credit\n22842\tOther Credit\n69012\tOther Credit\n80296\tOther Credit\n94128\tOther Credit\n51541\tOther Credit\n89077\tOther Credit\n94099\tOther Credit\n97706\tOther Credit\n90335\tOther Credit\n94560\tOther Credit\n6788\tOther Credit\n44814\tOther Credit\n9970\tOther Credit\n66278\tOther Credit\n55435\tOther Credit\n99843\tOther Credit\n8883\tOther Credit\n20755\tOther Credit\n14617\tOther Credit\n16808\tOther Credit\n57586\tOther Credit\n85634\tOther Credit\n56066\tOther Credit\n9030\tOther Credit\n68559\tOther Credit\n52651\tOther Credit\n25842\tOther Credit\n96550\tOther Credit\n51228\tOther Credit\n20894\tOther Credit\n8995\tOther Credit\n23241\tOther Credit\n75635\tOther Credit\n18955\tOther Credit\n19680\tOther Credit\n79591\tOther Credit\n46138\tOther Credit\n49607\tOther Credit\n90328\tOther Credit\n16490\tOther Credit\n87533\tOther Credit\n38168\tOther Credit\n67536\tOther Credit\n87939\tOther Credit\n46193\tOther Credit\n42701\tOther Credit\n32135\tOther Credit\n30449\tOther Credit\n20333\tOther Credit\n6341\tOther Credit\n44098\tOther Credit\n57706\tOther Credit\n91342\tOther Credit\n82937\tOther Credit\n5934\tOther Credit\n75600\tOther Credit\n17354\tOther Credit\n79633\tOther Credit\n41485\tOther Credit\n80149\tOther Credit\n13373\tOther Credit\n58612\tOther Credit\n31362\tOther Credit\n18536\tOther Credit\n53485\tOther Credit\n95258\tOther Credit\n7603\tOther Credit\n70928\tOther Credit\n11590\tOther Credit\n68256\tOther Credit\n38829\tOther Credit\n37731\tOther Credit\n65703\tOther Credit\n471\tOther Credit\n26263\tOther Credit\n60764\tOther Credit\n71020\tOther Credit\n92897\tOther Credit\n58600\tOther Credit\n80752\tOther Credit\n55703\tOther Credit\n14810\tOther Credit\n81230\tOther Credit\n98658\tOther Credit\n19379\tOther Credit\n39988\tOther Credit\n3292\tOther Credit\n66745\tOther Credit\n5163\tOther Credit\n75295\tOther Credit\n31210\tOther Credit\n99115\tOther Credit\n73527\tOther Credit\n27728\tOther Credit\n53340\tOther Credit\n47725\tOther Credit\n99297\tOther Credit\n69277\tOther Credit\n68119\tOther Credit\n62574\tOther Credit\n25220\tOther Credit\n55813\tOther Credit\n55262\tOther Credit\n10668\tOther Credit\n66713\tOther Credit\n14554\tOther Credit\n23965\tOther Credit\n96493\tOther Credit\n82468\tOther Credit\n53973\tOther Credit\n5722\tOther Credit\n37362\tOther Credit\n52372\tOther Credit\n42702\tOther Credit\n12741\tOther Credit\n32469\tOther Credit\n94630\tOther Credit\n75554\tOther Credit\n67951\tOther Credit\n35340\tOther Credit\n72335\tOther Credit\n24507\tOther Credit\n30332\tOther Credit\n31562\tOther Credit\n24158\tOther Credit\n16585\tOther Credit\n84375\tOther Credit\n41147\tOther Credit\n86489\tOther Credit\n64500\tOther Credit\n63536\tOther Credit\n64658\tOther Credit\n78703\tOther Credit\n2808\tOther Credit\n67656\tOther Credit\n83555\tOther Credit\n2241\tOther Credit\n34396\tOther Credit\n52864\tOther Credit\n39885\tOther Credit\n84000\tOther Credit\n3041\tOther Credit\n45918\tOther Credit\n76084\tOther Credit\n79781\tOther Credit\n44947\tOther Credit\n80132\tOther Credit\n92682\tOther Credit\n87657\tOther Credit\n55818\tOther Credit\n50820\tOther Credit\n44288\tOther Credit\n57803\tOther Credit\n99239\tOther Credit\n46906\tOther Credit\n52191\tOther Credit\n78769\tOther Credit\n70851\tOther Credit\n6654\tOther Credit\n40161\tOther Credit\n63434\tGood Credit\n42186\tGood Credit\n10726\tGood Credit\n49896\tOther Credit\n21931\tOther Credit\n67677\tOther Credit\n86237\tOther Credit\n24627\tOther Credit\n44346\tOther Credit\n76946\tOther Credit\n84787\tOther Credit\n42207\tOther Credit\n1214\tOther Credit\n3260\tOther Credit\n5567\tOther Credit\n91344\tOther Credit\n85242\tOther Credit\n19185\tOther Credit\n94092\tOther Credit\n933\tOther Credit\n89681\tOther Credit\n50044\tOther Credit\n15778\tOther Credit\n10\tGood Credit\n37\tGood Credit\n55120\tGood Credit\n53622\tGood Credit\n30749\tGood Credit\n85518\tGood Credit\n97082\tOther Credit\n38937\tOther Credit\n175\tOther Credit\n51376\tOther Credit\n8365\tOther Credit\n41998\tOther Credit\n75384\tOther Credit\n6552\tOther Credit\n41506\tOther Credit\n33308\tOther Credit\n33765\tOther Credit\n35422\tOther Credit\n62474\tOther Credit\n71537\tGood Credit\n84356\tGood Credit\n57075\tGood Credit\n75496\tGood Credit\n21366\tGood Credit\n30014\tGood Credit\n93397\tOther Credit\n65621\tOther Credit\n12843\tOther Credit\n85651\tOther Credit\n28102\tOther Credit\n66504\tOther Credit\n82738\tOther Credit\n27621\tOther Credit\n50168\tOther Credit\n39476\tOther Credit\n78865\tOther Credit\n26404\tOther Credit\n65721\tOther Credit\n76032\tOther Credit\n1662\tOther Credit\n57859\tOther Credit\n24217\tOther Credit\n61784\tOther Credit\n40317\tOther Credit\n80518\tOther Credit\n75247\tGood Credit\n83262\tGood Credit\n28903\tGood Credit\n78432\tGood Credit\n58882\tGood Credit\n11965\tOther Credit\n80167\tOther Credit\n95396\tOther Credit\n48214\tOther Credit\n3035\tOther Credit\n11718\tOther Credit\n46974\tOther Credit\n43975\tOther Credit\n24476\tOther Credit\n92814\tOther Credit\n36436\tOther Credit\n56276\tOther Credit\n50822\tOther Credit\n20080\tOther Credit\n18448\tOther Credit\n39465\tOther Credit\n27166\tOther Credit\n36486\tOther Credit\n49004\tOther Credit\n2541\tGood Credit\n72269\tGood Credit\n49626\tGood Credit\n47733\tGood Credit\n71401\tOther Credit\n32156\tOther Credit\n18418\tOther Credit\n67849\tOther Credit\n63307\tOther Credit\n23619\tOther Credit\n49611\tOther Credit\n67331\tOther Credit\n56889\tOther Credit\n90710\tOther Credit\n83909\tOther Credit\n80370\tOther Credit\n49064\tOther Credit\n72029\tOther Credit\n90466\tOther Credit\n38640\tOther Credit\n37732\tGood Credit\n87458\tGood Credit\n82571\tGood Credit\n70165\tGood Credit\n13927\tGood Credit\n2121\tGood Credit\n94218\tGood Credit\n73476\tGood Credit\n36477\tOther Credit\n42363\tOther Credit\n38309\tOther Credit\n41252\tOther Credit\n76470\tOther Credit\n34220\tOther Credit\n25427\tOther Credit\n70570\tOther Credit\n67457\tOther Credit\n30757\tOther Credit\n34824\tOther Credit\n14247\tOther Credit\n73192\tOther Credit\n62273\tOther Credit\n68039\tOther Credit\n18750\tOther Credit\n30203\tOther Credit\n13583\tOther Credit\n48805\tOther Credit\n76919\tGood Credit\n84662\tGood Credit\n29289\tGood Credit\n97741\tGood Credit\n28615\tGood Credit\n54075\tGood Credit\n37928\tOther Credit\n66885\tOther Credit\n20069\tOther Credit\n18978\tOther Credit\n70529\tOther Credit\n38514\tOther Credit\n31611\tOther Credit\n15494\tOther Credit\n84818\tOther Credit\n44555\tOther Credit\n"}]},"jobName":"paragraph_1563775868170_1538360481","id":"20190722-061108_1468444203","dateCreated":"2018-07-17T16:55:13+0000","dateStarted":"2019-07-24T01:01:25+0000","dateFinished":"2019-07-24T01:01:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3191"},{"title":"STEP 6: 고객의 직업군과 수입을 리뷰합니다.","text":"%sql \n\n/* 이것은 Zepplin의 차트 시각화의 기본 예제입니다. 가장 기존적인 막대 그래프입니다. 아래의 'setting' 링크를 클릭하십시오. 그러면 차트를 만드는 데 사용 된 컬럼이 표시됩니다. 원하는 컬럼(field)을 드래그&드롭으로 가져다 놓고 시각화를 변경할 수 있습니다. */\n\nselect customer_id, age, income, tenure, loan_type, loan_amount, occupation, number_of_current_accounts, max_cc_spent_amount, mode_job_of_contacts from credit_scoring_100k_v where rownum < 1000","user":"ADWC_WS","dateUpdated":"2019-07-24T01:32:36+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"MODE_JOB_OF_CONTACTS","index":9,"aggr":"sum"}],"values":[{"name":"INCOME","index":2,"aggr":"avg"}],"scatter":{"xAxis":{"name":"OCCUPATION","index":6,"aggr":"sum"},"size":{"name":"AGE","index":1,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{}},"commonSetting":{},"keys":[{"name":"MODE_JOB_OF_CONTACTS","index":9,"aggr":"sum"}],"groups":[],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"jobName":"paragraph_1563775868170_-1360729614","id":"20190722-061108_1179113673","dateCreated":"2018-06-26T20:03:52+0000","dateStarted":"2019-07-24T01:32:36+0000","dateFinished":"2019-07-23T12:56:29+0000","status":"ABORT","errorMessage":"","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3192"},{"title":"STEP 7: 고객의 직업군을 탐색합니다.","text":"%sql \n\n/* 파이 차트를 통해 원하는 속성의 비율 분포도를 확인할 수 있습니다. zepplin 시각화는 제약적이기 때문에 더 많은 시각화 유형과 다채로운 분석은 Lab400에서 진행되는 Data Visualization Desktop을 사용하시기 바랍니다. */\n\nselect customer_id, age, income, tenure, loan_type, loan_amount, occupation, marital_status \nfrom credit_scoring_100k_v where rownum < 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type(대출 유형)에 따른 고객 분포도를 파악합니다.","text":"%sql \n\n\nselect customer_id, age, income, tenure, loan_type, loan_amount, occupation, marital_status \nfrom credit_scoring_100k_v where rownum < 1000","user":"ADWC_WS","dateUpdated":"2019-07-24T01:12:01+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"pieChart","optionOpen":false,"keys":[{"name":"LOAN_TYPE","index":4,"aggr":"sum"}],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}],"scatter":{"yAxis":{"name":"AGE","index":1,"aggr":"sum"},"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"pieChart","height":300,"optionOpen":false,"setting":{"pieChart":{}},"commonSetting":{},"keys":[{"name":"LOAN_TYPE","index":4,"aggr":"sum"}],"groups":[],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_-1273135820","id":"20190722-061108_1248047819","dateCreated":"2018-07-11T18:01:13+0000","dateStarted":"2019-07-24T01:12:01+0000","dateFinished":"2019-07-24T01:12:58+0000","status":"ABORT","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3194"},{"title":"STEP 8: 나이, 재임기간, 대출유형에 따른 수입 분포를 파악합니다.","text":"%sql \nselect customer_id, age, income, tenure, loan_type, loan_amount, occupation, education_level from credit_scoring_100k_v where rownum < 40","user":"ADWC_WS","dateUpdated":"2019-07-24T01:30:45+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"scatterChart","optionOpen":false,"keys":[{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}],"values":[{"name":"AGE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"TENURE","index":3,"aggr":"sum"},"xAxis":{"name":"AGE","index":1,"aggr":"sum"},"size":{"name":"INCOME","index":2,"aggr":"sum"},"group":{"name":"LOAN_TYPE","index":4,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"scatterChart","height":300,"optionOpen":false,"setting":{"scatterChart":{"xAxis":{"name":"AGE","index":1,"aggr":"sum"},"yAxis":{"name":"TENURE","index":3,"aggr":"sum"},"size":{"name":"INCOME","index":2,"aggr":"sum"},"group":{"name":"LOAN_TYPE","index":4,"aggr":"sum"}}}},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUSTOMER_ID\tAGE\tINCOME\tTENURE\tLOAN_TYPE\tLOAN_AMOUNT\tOCCUPATION\tEDUCATION_LEVEL\n55585\t65\t3750\t9\tNeed\t20000\tFarmer\tMaster's Degree\n61954\t21\t2750\t53\tNeed\t45000\tTechnician\tMaster's Degree\n90193\t22\t2750\t18\tNeed\t45000\tWorker\tBachelor's Degree\n22877\t35\t500\t11\tHousing\t35000\tClerical\tPrimary School Grad\n46210\t55\t500\t3\tHousing\t50000\tProfessional\tPrimary School Grad\n91860\t21\t2750\t24\tNeed\t40000\tArmy\tBachelor's Degree\n82229\t43\t2150\t12\tNeed\t30000\tArmy\tMaster's Degree\n61047\t40\t2750\t7\tHousing\t95000\tFarmer\tMaster's Degree\n1234\t18\t2750\t5\tNeed\t20000\tFarmer\tMaster's Degree\n10719\t35\t6250\t7\tNeed\t30000\tManager\tBachelor's Degree\n69543\t26\t2750\t7\tNeed\t25000\tClerical\tBachelor's Degree\n85066\t27\t2750\t18\tEducation\t10000\tManager\tMaster's Degree\n60806\t30\t500\t12\tHousing\t35000\tFarmer\tPrimary School Grad\n30648\t22\t2750\t6\tNeed\t10000\tProfessional\tBachelor's Degree\n68320\t54\t2150\t15\tNeed\t45000\tTechnician\tMaster's Degree\n42857\t48\t500\t8\tEducation\t15000\tProfessional\tPrimary School Grad\n10714\t36\t2750\t18\tEducation\t20000\tTechnician\tMaster's Degree\n40937\t46\t2750\t7\tAuto\t20000\tProfessional\tMaster's Degree\n16353\t18\t2150\t4\tEducation\t15000\tClerical\tMaster's Degree\n90097\t57\t2150\t18\tHousing\t75000\tManager\tBachelor's Degree\n78401\t43\t500\t37\tEducation\t20000\tFarmer\tPrimary School Grad\n51272\t50\t2750\t80\tNeed\t15000\tClerical\tBachelor's Degree\n32077\t39\t500\t12\tNeed\t20000\tArmy\tPrimary School Grad\n95949\t\t3750\t15\tAuto\t45000\tTechnician\tMaster's Degree\n17785\t70\t2750\t14\tNeed\t25000\tProfessional\tMaster's Degree\n39512\t59\t3750\t37\tNeed\t35000\tProfessional\tDoctorate Degree\n79767\t33\t2150\t9\tNeed\t20000\tClerical\tMaster's Degree\n46227\t69\t2150\t63\tNeed\t25000\tWorker\tBachelor's Degree\n21920\t66\t2750\t8\tEducation\t20000\tFarmer\tBachelor's Degree\n23041\t70\t2750\t31\tHousing\t40000\tClerical\tBachelor's Degree\n21317\t44\t2750\t14\tAuto\t10000\tArmy\tBachelor's Degree\n58420\t60\t2750\t9\tNeed\t40000\tProfessional\tBachelor's Degree\n60192\t42\t2750\t11\tHousing\t65000\tTechnician\tBachelor's Degree\n20617\t54\t2150\t5\tNeed\t35000\tManager\tMaster's Degree\n48506\t63\t2150\t10\tAuto\t35000\tFarmer\tBachelor's Degree\n99775\t47\t2150\t1\tNeed\t40000\tClerical\tMaster's Degree\n90465\t30\t2150\t7\tHousing\t40000\tClerical\tMaster's Degree\n66806\t51\t2750\t31\tEducation\t15000\tTechnician\tMaster's Degree\n92381\t44\t2750\t47\tAuto\t10000\tWorker\tBachelor's Degree\n"}]},"jobName":"paragraph_1563775868170_-444584982","id":"20190722-061108_687258202","dateCreated":"2018-06-29T16:45:24+0000","dateStarted":"2019-07-24T01:30:22+0000","dateFinished":"2019-07-24T01:30:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3195"},{"text":"%md\n## 데이터 전처리를 위한 DBMS_DATA_MINING_TRANSFORM 제공\n\nDBMS_DATA_MINING_TRANSFORM 패키지는 하나 이상의 column 에서 데이터를 수정하는 SQL 표현식의 집합입니다. 머신러닝 모델을 작성하기 전에는 각각 모델에 맞는 형태로 데이터를 변환하는 과정이 필요합니다. 많은 머신러닝 알고리즘에는 특정한 변환 요구사항들이 있습니다.  scoring될 데이터는 모델을 training 할 때 사용했던 데이터와 동일한 형태로 변환되어야 합니다.\n\n## DMNS_DATA_MINING_TRANSFORM 에서 지원하는 전처리 작업\n\n크게 4가지 카테고리로 전처리 작업을 지원합니다.\n* Binning : 연속형이나 이산형 데이터를 정의한 개수의 cardinality 에 매핑하는 것을 의미합니다.\n    * Supervised Binning (Categorical - 범주형 데이터, Numerical - 수치형 데이터) : Decision Tree에 의한 결과에 기인하여 binning 합니다.\n    * Top-N Frequency Categorical Binning : 각 카테고리의 case 수를 기반으로 binning 합니다.\n    * Equi-Width Numerical Binning : 동일한 범주로 파티션하여 binning 합니다.\n    * Quantile Numerical Binning : SQL NTILE 함수에 의해 계산된 quantile을 기반으로 binning 합니다.\n* Linear Normalization : 회귀분석에 필요한 데이터 정규화\n* Outlier Treatment : 이상점 처리\n* Missing Value Treatment : 결측값 처리\n\n자세한 사항은 [oracle docs 메뉴얼](https://docs.oracle.com/en/database/oracle/oracle-database/18/arpls/DBMS_DATA_MINING_TRANSFORM.html#GUID-13CFDF17-E7CA-4A1B-A260-D4E91DD8CA7F)을 참고하시기 바랍니다.\n\n\n","user":"ADWC_WS","dateUpdated":"2019-07-24T01:29:02+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h2>데이터 전처리를 위한 DBMS_DATA_MINING_TRANSFORM 제공</h2>\n<p>DBMS_DATA_MINING_TRANSFORM 패키지는 하나 이상의 column 에서 데이터를 수정하는 SQL 표현식의 집합입니다. 머신러닝 모델을 작성하기 전에는 각각 모델에 맞는 형태로 데이터를 변환하는 과정이 필요합니다. 많은 머신러닝 알고리즘에는 특정한 변환 요구사항들이 있습니다.  scoring될 데이터는 모델을 training 할 때 사용했던 데이터와 동일한 형태로 변환되어야 합니다.</p>\n<h2>DMNS_DATA_MINING_TRANSFORM 에서 지원하는 전처리 작업</h2>\n<p>크게 4가지 카테고리로 전처리 작업을 지원합니다.</p>\n<ul>\n<li>Binning : 연속형이나 이산형 데이터를 정의한 개수의 cardinality 에 매핑하는 것을 의미합니다.<ul>\n<li>Supervised Binning (Categorical - 범주형 데이터, Numerical - 수치형 데이터) : Decision Tree에 의한 결과에 기인하여 binning 합니다.</li>\n<li>Top-N Frequency Categorical Binning : 각 카테고리의 case 수를 기반으로 binning 합니다.</li>\n<li>Equi-Width Numerical Binning : 동일한 범주로 파티션하여 binning 합니다.</li>\n<li>Quantile Numerical Binning : SQL NTILE 함수에 의해 계산된 quantile을 기반으로 binning 합니다.</li>\n</ul>\n</li>\n<li>Linear Normalization : 회귀분석에 필요한 데이터 정규화</li>\n<li>Outlier Treatment : 이상점 처리</li>\n<li>Missing Value Treatment : 결측값 처리</li>\n</ul>\n<p>자세한 사항은 <a href=\"https://docs.oracle.com/en/database/oracle/oracle-database/18/arpls/DBMS_DATA_MINING_TRANSFORM.html#GUID-13CFDF17-E7CA-4A1B-A260-D4E91DD8CA7F\">oracle docs 메뉴얼</a>을 참고하시기 바랍니다.</p>\n"}]},"jobName":"paragraph_1563785506942_1690211773","id":"20190722-085146_868075476","dateCreated":"2019-07-22T08:51:46+0000","dateStarted":"2019-07-24T01:28:59+0000","dateFinished":"2019-07-24T01:28:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3196"},{"title":"STEP 9: 값들을 Bin 처리 합니다.","text":"%script\n\n/* 모든 수치 값(number 형 타입) 컬럼에 대한 bin값을 담는 view를 생성하는 프로시저를 실행합니다. */\n\nBEGIN\n\nBEGIN \nEXECUTE IMMEDIATE 'DROP TABLE bin_num_tbl';\nEXCEPTION WHEN OTHERS THEN NULL; \nEND; \n\nBEGIN\nEXECUTE IMMEDIATE 'DROP VIEW mining_data_bin_view';\nEXCEPTION WHEN OTHERS THEN NULL; \nEND; \n\n   dbms_data_mining_transform.create_bin_num(\n           bin_table_name     => 'bin_num_tbl');\n\n   dbms_data_mining_transform.insert_autobin_num_eqwidth( --열에 따라 binning 개수를 다르게 가져감\n           bin_table_name     => 'bin_num_tbl',\n           data_table_name    => 'CREDIT_SCORING_100K_V',\n           bin_num            => 5, --최소 bin 수\n           max_bin_num        => 10, --최대 bin 수\n           exclude_list       => dbms_data_mining_transform.COLUMN_LIST('CUSTOMER_ID')); --제외할 컬럼 명시, 지정하지 않으면 모든 수치 컬럼이 binning 됨.\n\n  dbms_data_mining_transform.xform_bin_num(\n           bin_table_name      => 'bin_num_tbl',\n           data_table_name     => 'CREDIT_SCORING_100K_V',\n           xform_view_name     => 'mining_data_bin_view');\nEND;","user":"ADWC_WS","dateUpdated":"2019-07-23T12:14:44+0000","config":{"colWidth":12,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_-1471773471","id":"20190722-061108_1351593501","dateCreated":"2018-07-11T17:34:44+0000","dateStarted":"2019-07-22T08:42:37+0000","dateFinished":"2019-07-22T08:42:40+0000","status":"ABORT","errorMessage":"","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3197"},{"title":"나이에 대한 histogram 보기 (모든 수치값들은 binning 된 것을 확인한다.)","text":"%sql\n\n/* Note: Typically data scientists shold explore their data to make sure it makes sense and matches the data they believe they are working with. */\n\nselect customer_id, age, income, tenure, loan_type, loan_amount, occupation, education_level from mining_data_bin_view;","user":"ADWC_WS","dateUpdated":"2019-07-23T01:25:27+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"AGE","index":1,"aggr":"sum"}],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}],"scatter":{"yAxis":{"name":"AGE","index":1,"aggr":"sum"},"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":418},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{}},"commonSetting":{},"keys":[{"name":"AGE","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CUSTOMER_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_503560780","id":"20190722-061108_201127516","dateCreated":"2018-07-11T17:37:18+0000","dateStarted":"2019-07-22T09:10:07+0000","dateFinished":"2019-07-22T09:10:36+0000","status":"ABORT","errorMessage":"","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3198"},{"title":"STEP 10: OML 머신러닝 알고리즘을 돌려보자!","text":"%md\n\n\n파이, 열 및 산점도(scatter)를 간단하게 살펴봄으로써 데이터에 대한 간단한 분포를 보고 전처리 작업을 완료하였습니다. 그러나 현실 세계에서는 이 과정이 그렇게 쉽지는 않습니다. 실제로는 머신러닝 프로세스 중 가장 많은 시간을 할애해야 하는 중요한 작업입니다. 일반적으로 우리는 많은 컬럼을 가지고 있지만 머신러닝 모델을 적용할 때 모든 변수를 적용할 필요는 없습니다. 오히려 필요없는 변수들은 모델의 정확도를 낮출 수 있습니다. 또는 너무 많은 차원읟 ㅔ이터를 다룰 때 머신 러닝 알고리즘의 계산 성능과 저장 공간의 한계에 맞닥뜨릴 수 있습니다. 우리는 비즈니스 문제와 가장 밀접한 상관관계가 있는 변수(속성)을 발견하고자 합니다.\n\n먼저 Oracle Machine Learning의 Attribute Importance 알고리즘과 DBMS_Predictive_Analytics 패키지를 사용합시다. 이러한 변수 선택 알고리즘은 다른 주요 변수와 가장 상관관계가 있는 변수를 찾는 모든 입력 변수 또는 속성을 자동으로 탐색합니다. \n\n\n#### 더 많은 정보는 아래의 공식 문서를 참고하세요: \n##### <https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/feature-selection-extraction.html#GUID-564D57DB-7AED-4130-A863-EA1698D6F4B4>\n##### <https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/DBMS_PREDICTIVE_ANALYTICS.html#GUID-9DD29322-C9EC-4AE7-A1E7-92AFC4D800FF>","user":"ADWC_WS","dateUpdated":"2019-07-24T01:20:50+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<p>파이, 열 및 산점도(scatter)를 간단하게 살펴봄으로써 데이터에 대한 간단한 분포를 보고 전처리 작업을 완료하였습니다. 그러나 현실 세계에서는 이 과정이 그렇게 쉽지는 않습니다. 실제로는 머신러닝 프로세스 중 가장 많은 시간을 할애해야 하는 중요한 작업입니다. 일반적으로 우리는 많은 컬럼을 가지고 있지만 머신러닝 모델을 적용할 때 모든 변수를 적용할 필요는 없습니다. 오히려 필요없는 변수들은 모델의 정확도를 낮출 수 있습니다. 또는 너무 많은 차원읟 ㅔ이터를 다룰 때 머신 러닝 알고리즘의 계산 성능과 저장 공간의 한계에 맞닥뜨릴 수 있습니다. 우리는 비즈니스 문제와 가장 밀접한 상관관계가 있는 변수(속성)을 발견하고자 합니다.</p>\n<p>먼저 Oracle Machine Learning의 Attribute Importance 알고리즘과 DBMS_Predictive_Analytics 패키지를 사용합시다. 이러한 변수 선택 알고리즘은 다른 주요 변수와 가장 상관관계가 있는 변수를 찾는 모든 입력 변수 또는 속성을 자동으로 탐색합니다.</p>\n<h4>더 많은 정보는 아래의 공식 문서를 참고하세요:</h4>\n<h5><a href=\"https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/feature-selection-extraction.html#GUID-564D57DB-7AED-4130-A863-EA1698D6F4B4\">https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/feature-selection-extraction.html#GUID-564D57DB-7AED-4130-A863-EA1698D6F4B4</a></h5>\n<h5><a href=\"https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/DBMS_PREDICTIVE_ANALYTICS.html#GUID-9DD29322-C9EC-4AE7-A1E7-92AFC4D800FF\">https://docs.oracle.com/en/database/oracle/oracle-database/18/dmapi/DBMS_PREDICTIVE_ANALYTICS.html#GUID-9DD29322-C9EC-4AE7-A1E7-92AFC4D800FF</a></h5>\n"}]},"jobName":"paragraph_1563775868170_1467234020","id":"20190722-061108_1549727746","dateCreated":"2018-06-29T16:49:08+0000","dateStarted":"2019-07-24T01:20:50+0000","dateFinished":"2019-07-24T01:20:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3199"},{"title":"고객 신용평가 모델을 위한 Attribute Importance 머신러닝 모델 만들기","text":"%script\r\n/* CREDIT_SCORE_BIN(신용도)에 가장 영향을 미치는 중요한 컬럼 및 속성들을 찾아냄 */\r\n\r\nDECLARE\r\nv_sql varchar2(100);\r\n\r\nBEGIN\r\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE ai_explain_output_credit_score_bin';\r\nEXCEPTION WHEN OTHERS THEN NULL; \r\nEND;\r\n\r\n--EXPLAIN 프로시저 : target column 에 영향을 미치는 영향도 순서로 속성들을 RANK 함.\r\nBEGIN\r\n  DBMS_PREDICTIVE_ANALYTICS.EXPLAIN(\r\n    data_table_name     => 'CREDIT_SCORING_100K_V',\r\n    explain_column_name => 'CREDIT_SCORE_BIN',\r\n    result_table_name   => 'AI_EXPLAIN_OUTPUT_CREDIT_SCORE_BIN');\r\nEND;\r\n\r\nEnd;","user":"ADWC_WS","dateUpdated":"2019-07-23T02:05:19+0000","config":{"colWidth":12,"editorMode":"ace/mode/plsql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":93.15},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_-982482997","id":"20190722-061108_1105702329","dateCreated":"2018-06-29T16:50:20+0000","dateStarted":"2018-10-17T18:49:39+0000","dateFinished":"2018-10-17T18:49:45+0000","status":"ABORT","errorMessage":"","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3200"},{"title":"좋은 신용도(CREDIT_SCORE_BIN)와 높은 상간관계를 가지는 Ton N 속성을 찾아낸다.","text":"%sql\n\nSelect * from ai_explain_output_CREDIT_SCORE_BIN where rownum < 10;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:30:12+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}],"values":[{"name":"EXPLANATORY_VALUE","index":2,"aggr":"sum"}],"scatter":{"yAxis":{"name":"ATTRIBUTE_SUBNAME","index":1,"aggr":"sum"},"xAxis":{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}},"groups":[],"height":261},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{}},"commonSetting":{},"keys":[{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"EXPLANATORY_VALUE","index":2,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_-684604252","id":"20190722-061108_1823808734","dateCreated":"2018-06-29T16:51:10+0000","dateStarted":"2019-07-24T01:30:12+0000","dateFinished":"2019-07-24T01:30:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3201","results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tEXPLANATORY_VALUE\tRANK\nWEALTH\t\t6.46198830634135460035600959551451034646E-01\t1\nCUSTOMER_DMG_SEGMENT\t\t6.45979204551262762008492850665214636347E-01\t2\nINCOME\t\t5.073294877005939143478747552009305682E-01\t3\nHIGHEST_CREDIT_CARD_LIMIT\t\t5.0721919326215355565066943474317814878E-01\t4\nCUSTOMER_VALUE_SEGMENT\t\t4.72633897429529900052765600333143361559E-01\t5\nRESIDENTAL_STATUS\t\t3.73719629166435105405448740461029414679E-01\t6\nMAX_CC_SPENT_AMOUNT_PREV\t\t3.55072756262329843524921025978157156427E-01\t7\nMAX_CC_SPENT_AMOUNT\t\t3.21811069229094546957463380220614670858E-01\t8\nOCCUPATION\t\t2.8355369409458582388071264679304616488E-01\t9\n"}]}},{"title":"STEP 11: MAX_CC_SPENT_AMOUNT 컬럼에 대한 Attribute Importance 모델 만들기","text":"%script \n\n/* MAX_CC_SPENT_AMOUNT 에 가장 영향을 미치는 TOP N 속성을 찾아낸다. */\n\nDECLARE\nv_sql varchar2(100);\n\nBEGIN\n\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE ai_explain_output_MAX_CC_SPENT_AMOUNT';\nEXCEPTION WHEN OTHERS THEN NULL; \nEND;\n\nBEGIN\n  DBMS_PREDICTIVE_ANALYTICS.EXPLAIN(\n    data_table_name     => 'Credit_Scoring_100k_v',\n    explain_column_name => 'MAX_CC_SPENT_AMOUNT',\n    result_table_name   => 'ai_explain_output_MAX_CC_SPENT_AMOUNT');\nEND;\n\nEnd;\n","user":"ADWC_WS2","dateUpdated":"2019-07-23T02:01:02+0000","config":{"colWidth":12,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1563775868170_-1069763605","id":"20190722-061108_9918722","dateCreated":"2018-06-29T16:55:07+0000","dateStarted":"2018-10-17T18:50:11+0000","dateFinished":"2018-10-17T18:50:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3202"},{"title":"MAX_CC_SPENT_AMOUNT 컬럼에 가장 영향을 미치는 TOP N 속성 뽑기","text":"%sql \n\nSelect * from ai_explain_output_MAX_CC_SPENT_AMOUNT where rownum < 7;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:29:55+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":238},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tEXPLANATORY_VALUE\tRANK\nINCOME\t\t8.84222960726802757427310996544661885952E-02\t1\nHIGHEST_CREDIT_CARD_LIMIT\t\t8.84086207651107592300019491735605569996E-02\t2\nCUSTOMER_DMG_SEGMENT\t\t7.17298726953317671232176065975823055083E-02\t3\nWEALTH\t\t7.1648190116805769507976645134724895537E-02\t4\nMAX_CC_SPENT_AMOUNT_PREV\t\t6.45251841924508379341195572351317276106E-02\t5\nCHURN_RATE_OF_CC1\t\t5.03608398919125202336305998664887568865E-02\t6\n"}]},"jobName":"paragraph_1563775868170_-411833711","id":"20190722-061108_723664890","dateCreated":"2018-07-02T19:01:50+0000","dateStarted":"2019-07-24T01:29:55+0000","dateFinished":"2019-07-24T01:29:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3203"},{"title":"STEP 12:  고객 신용 평가 모델 만들기","text":"%md\nNow that Heather has found the key attributes that most influence findig more Good Credit customers and also making better Maximum Credit Card Amount decisions, she wants to leverage Oracle Machine Learning's powerful in-Database, parallelized algorithms to build predictive models that help her company to better target \"the right customers\" with the \"right offers\".\n\n\nLets' quickly review the machine learning process: \n\n**Problem Definition:**   Target Good Credit Customers\n**Data Gathering and Preparation:**  We've assembled 100K records with 100+ variable about each customer and have created a target field (Good Customer/Other Customer) so we can use OML's Supervised Algorithms, specifically let's start by using a decision tree algorithm.\n**Model Building and Evaluation:**   We'll create a randomly selected sample from our Credit_Scoring_100k historical data and use 60% as training data for the machine learning model building phase.   Then, we'll use the remaining 40% as a holdout sampple to test our model's accuracy using various model evaluation tools such as a \"lift chart\".\n##### Knowledge Deployment:  Once we're satisfied that we have a useful ML model that can predict with some accuracy which customers we should target (Good Credit customers), we want to apply our OML model to new customer data inside ADWC and then take a deeper look a them.   Lastly, we'll jump over to Oracle Analytics Cloud for a more interactive, exploratory data analysis experience but now focusing on our customers of interest (Good Credit customers).","user":"ADWC_WS","dateUpdated":"2019-07-23T02:02:07+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{},"tableHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<p>Now that Heather has found the key attributes that most influence findig more Good Credit customers and also making better Maximum Credit Card Amount decisions, she wants to leverage Oracle Machine Learning's powerful in-Database, parallelized algorithms to build predictive models that help her company to better target &ldquo;the right customers&rdquo; with the &ldquo;right offers&rdquo;.</p>\n<p>Lets' quickly review the machine learning process:</p>\n<p><strong>Problem Definition:</strong>   Target Good Credit Customers\n<br  /><strong>Data Gathering and Preparation:</strong>  We've assembled 100K records with 100+ variable about each customer and have created a target field (Good Customer/Other Customer) so we can use OML's Supervised Algorithms, specifically let's start by using a decision tree algorithm.\n<br  /><strong>Model Building and Evaluation:</strong>   We'll create a randomly selected sample from our Credit_Scoring_100k historical data and use 60% as training data for the machine learning model building phase.   Then, we'll use the remaining 40% as a holdout sampple to test our model's accuracy using various model evaluation tools such as a &ldquo;lift chart&rdquo;.</p>\n<h5>Knowledge Deployment:  Once we're satisfied that we have a useful ML model that can predict with some accuracy which customers we should target (Good Credit customers), we want to apply our OML model to new customer data inside ADWC and then take a deeper look a them.   Lastly, we'll jump over to Oracle Analytics Cloud for a more interactive, exploratory data analysis experience but now focusing on our customers of interest (Good Credit customers).</h5>\n"}]},"jobName":"paragraph_1563775868170_-1432162863","id":"20190722-061108_1473561922","dateCreated":"2018-06-29T17:08:30+0000","dateStarted":"2018-07-13T22:05:13+0000","dateFinished":"2018-07-13T22:05:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3204"},{"title":"데이터 마이닝 및 머신러닝 프로세스","text":"%md \n![tiny arrow](http://www.oracle.com///technetwork/database/options/advanced-analytics/dmprocess80-5013719.jpg \"tiny arrow\") ","user":"ADWC_WS","dateUpdated":"2019-07-23T02:02:21+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<p><img src=\"http://www.oracle.com///technetwork/database/options/advanced-analytics/dmprocess80-5013719.jpg\" alt=\"tiny arrow\" title=\"tiny arrow\" /></p>\n"}]},"jobName":"paragraph_1563775868170_814564521","id":"20190722-061108_331571338","dateCreated":"2018-07-13T22:08:11+0000","dateStarted":"2018-07-13T22:08:25+0000","dateFinished":"2018-07-13T22:08:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3205"},{"title":"Preparatory Steps, Automation of Model Build and Test and Clean up using PL/SQL script","text":"%sql\r\n-- 이거 적용할 때 위에서 전처리한 값들로 모델을 만들어야 하지 않을까.... 전처리 안한 데이터로 모델을 만드네? 그래서 PREP_AUTO를 사용한 것인가...\r\n\r\ndeclare\r\nv_sql varchar2(100);\r\n\r\nBEGIN\r\n    BEGIN\r\n        v_sql := 'DROP TABLE n1_build_settings PURGE';\r\n        EXECUTE IMMEDIATE v_sql;\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': succeeded');\r\n        EXCEPTION\r\n        WHEN OTHERS THEN\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': drop unneccessary - no table exist');\r\n    END;\r\n\r\n    BEGIN\r\n        v_sql := 'CALL DBMS_DATA_MINING.DROP_MODEL(''N1_CLASS_MODEL'')';\r\n        EXECUTE IMMEDIATE v_sql;\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': succeeded');\r\n        EXCEPTION\r\n        WHEN OTHERS THEN\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': drop unneccessary - no model exist');\r\n    END;\r\n    \r\n    BEGIN\r\n        v_sql := 'DROP TABLE N1_APPLY_RESULT PURGE';\r\n        EXECUTE IMMEDIATE v_sql;\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': succeeded');\r\n        EXCEPTION\r\n        WHEN OTHERS THEN\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': drop unneccessary - no table exist');\r\n    END;\r\n    \r\n    BEGIN\r\n        v_sql := 'DROP TABLE N1_LIFT_TABLE PURGE';\r\n        EXECUTE IMMEDIATE v_sql;\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': succeeded');\r\n        EXCEPTION\r\n        WHEN OTHERS THEN\r\n        DBMS_OUTPUT.PUT_LINE (v_sql || ': drop unneccessary - no table exist');\r\n    END;\r\n    \r\n    /* 데이터를 N1_TRAIN_DATA - 60% 와 N1_TEST_DATA - 나머지 40%로 나눈다. */\r\n    EXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TRAIN_DATA AS SELECT * FROM CREDIT_SCORING_100K_v SAMPLE (60) SEED (1)';\r\n    dbms_output.put_line ('Created N1_TRAIN_DATA');\r\n    EXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TEST_DATA AS SELECT * FROM CREDIT_SCORING_100K_v MINUS SELECT * FROM N1_TRAIN_DATA';\r\n    dbms_output.put_line ('Created N1_TEST_DATA');\r\n    \r\n    /*모델 build하기 위해 설정값을 담는 table을 만들고 관련한 파라미터 값을 넣는다.*/\r\n    EXECUTE IMMEDIATE 'CREATE TABLE n1_build_settings (setting_name VARCHAR2(30), setting_value VARCHAR2(4000))';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings (setting_name, setting_value) values(''ALGO_NAME'', ''ALGO_DECISION_TREE'')';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings (setting_name, setting_value) values(''PREP_AUTO'', ''ON'')';    \r\n    --PREP_AUTO를 사용하면 모델에서 휴리스틱을 사용하여 알고리즘 요구 사항에 따라 빌드 데이터를 변환합니다. PREP_AUTO 대신 사용자는 PREP_SCALE*및 PREP_SHIFT*설정 을 사용하여 데이터가 사용자 요구에 맞게 이동되거나 확장되도록 요청할 수 있습니다 .\r\n    DBMS_OUTPUT.PUT_LINE('Created model build settings table: n1_build_settings ');\r\n    \r\n        /*\r\n    -- 모델에 default 세팅 값이 아니라 customizing 하여 파라미터를 적용하고 싶다면 아래를 활용하세요 \r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings VALUES (''TREE_TERM_MAX_DEPTH'', 7)';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings VALUES (''TREE_TERM_MINREC_SPLIT'', 20)';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings VALUES (''TREE_TERM_MINPCT_SPLIT'', .1)';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings VALUES (''TREE_TERM_MINREC_NODE'', 10)';\r\n    EXECUTE IMMEDIATE 'INSERT INTO n1_build_settings VALUES (''TREE_TERM_MINPCT_NODE'', 0.05)';\r\n    */\r\n    \r\n    /*Classification Model build 하기, 여기서 TARGET_COLUMN_NAME은 CREDIT_SCORE_BIN 컬럼이다. 이 컬럼이 고객의 신용도를 나타내는 컬럼 - Good Credit과 Other Credit 두개의 cardinality 를 가진다.*/\r\n    EXECUTE IMMEDIATE 'CALL DBMS_DATA_MINING.CREATE_MODEL(''N1_CLASS_MODEL'', ''CLASSIFICATION'', ''N1_TRAIN_DATA'', ''CUSTOMER_ID'', ''CREDIT_SCORE_BIN'', ''n1_build_settings'')';\r\n    DBMS_OUTPUT.PUT_LINE('Created lift result: N1_LIFT_TABLE ');\r\n    \r\n    /*testing data로 모델 적용 및 모델 평가를 위한 lift 값 산출하기 */\r\n    -- lift는 binary classification 모델에 대한 평가 metric 입니다. lift에 대한 자세한 설명은 아래를 참조\r\n    EXECUTE IMMEDIATE 'CALL DBMS_DATA_MINING.APPLY(''N1_CLASS_MODEL'', ''N1_TEST_DATA'', ''CUSTOMER_ID'', ''N1_APPLY_RESULT'')';\r\n    DBMS_OUTPUT.PUT_LINE('Created apply result: N1_APPLY_RESULT ');\r\n\r\n    EXECUTE IMMEDIATE 'CALL DBMS_DATA_MINING.COMPUTE_LIFT(''N1_APPLY_RESULT'', ''N1_TEST_DATA'', ''CUSTOMER_ID'', ''CREDIT_SCORE_BIN'', ''N1_LIFT_TABLE'', ''Good Credit'', ''PREDICTION'', ''PROBABILITY'', 100)';\r\n    DBMS_OUTPUT.PUT_LINE('Created apply result: N1_LIFT_TABLE ');    \r\n    \r\nEND;\r\n/","user":"ADWC_WS2","dateUpdated":"2019-07-23T12:04:40+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"DROP TABLE n1_build_settings PURGE: drop unneccessary - no table exists\nCALL DBMS_DATA_MINING.DROP_MODEL('N1_CLASS_MODEL'): drop unneccessary - no model\nexists\nDROP TABLE N1_APPLY_RESULT PURGE: drop unneccessary - no table exists\nDROP TABLE N1_LIFT_TABLE PURGE: drop unneccessary - no table exists\nCreated N1_TRAIN_DATA\nCreated N1_TEST_DATA\nCreated model build settings table: n1_build_settings \nCreated model: N1_CLASS_MODEL \nCreated apply result: N1_APPLY_RESULT \nCreated lift result: N1_LIFT_TABLE \n\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1563775868170_-895694727","id":"20190722-061108_698770617","dateCreated":"2018-06-29T17:40:22+0000","dateStarted":"2018-10-17T18:50:29+0000","dateFinished":"2018-10-17T18:50:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3206"},{"title":"STEP 13:  예측 모델의 사업성과를 평가하기 위해 누적 이득 그래프(Cummulative Gain Chart) 사용","text":"%sql\n-- Gain(이익률) : 전체 반응률 대비 해당분위의 반응률 비율. 이것을 통해 다른 집단 또는 전체 집단 대비 몇 배의 효과가 있냐를 확인할 수 잇는 개념이다. (아래 처럼 누적 값으로 많이 사용됨)\n-- 아래의 cumulative gains chart 에 대한 이해는 <http://www2.cs.uregina.ca/~dbd/cs831/notes/lift_chart/lift_chart.html> 사이트를 참조하세요.\nSELECT QUANTILE_NUMBER, GAIN_CUMULATIVE from N1_LIFT_TABLE where rownum < 40","user":"ADWC_WS","dateUpdated":"2019-07-24T01:29:42+0000","config":{"lineNumbers":false,"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"QUANTILE_NUMBER","index":0,"aggr":"sum"}],"values":[{"name":"GAIN_CUMULATIVE","index":1,"aggr":"avg"}],"scatter":{"yAxis":{"name":"GAIN_CUMULATIVE","index":1,"aggr":"sum"},"xAxis":{"name":"QUANTILE_NUMBER","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"lineChart","height":300,"optionOpen":false},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_703473436","id":"20190722-061108_331432856","dateCreated":"2018-02-04T03:06:50+0000","dateStarted":"2019-07-24T01:29:42+0000","dateFinished":"2019-07-24T01:29:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3207","results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"QUANTILE_NUMBER\tGAIN_CUMULATIVE\n1\t4.19067574646411733892090099528548978523E-02\n2\t8.38135149292823467784180199057097957046E-02\n3\t1.25720272393923520167627029858564693557E-01\n4\t1.67627029858564693556836039811419591409E-01\n5\t2.09533787323205866946045049764274489261E-01\n6\t2.51440544787847040335254059717129387114E-01\n7\t2.93347302252488213724463069669984284966E-01\n8\t3.35254059717129387113672079622839182818E-01\n9\t3.77160817181770560502881089575694080671E-01\n10\t4.19067574646411733892090099528548978523E-01\n11\t4.60974332111052907281299109481403876375E-01\n12\t5.02881089575694080670508119434258774227E-01\n13\t5.33837148867207962283918281822943949712E-01\n14\t5.55807707733106338397066526977475117863E-01\n15\t5.77778215443294918805657412257726558408E-01\n16\t6.00606655562467260345730749083289680461E-01\n17\t6.22634713446176008381351492928234677842E-01\n18\t6.43690403598088004190675746464117338921E-01\n19\t6.64290603309979046621267679413305395495E-01\n20\t6.84890751866160293347302252488213724463E-01\n21\t7.05490951578051335777894185437401781037E-01\n22\t7.26091100134232582503928758512310110005E-01\n23\t7.46691299846123624934520691461498166579E-01\n24\t7.67291448402304871660555264536406495547E-01\n25\t7.87891648114195914091147197485594552122E-01\n26\t8.0849179667037716081718177056050288109E-01\n27\t8.29091996382268203247773703509690937664E-01\n28\t8.49542770265845992666317443687794656888E-01\n29\t8.69659753143006809848088004190675746464E-01\n30\t8.8977673602016762702985856469355683604E-01\n31\t9.10858515584075432163436354112100576218E-01\n32\t9.317660588004190675746464117338920901E-01\n33\t9.52284511688056574122577265584075432163E-01\n34\t9.69576267024620220010476689366160293347E-01\n35\t9.70037179969879518072289156626506024096E-01\n36\t9.70498195226558407543216343635411210058E-01\n37\t9.70959210483237297014143530644316396019E-01\n38\t9.71420123428496595075955997904662126768E-01\n39\t9.71881138685175484546883184913567312729E-01\n"}]}},{"title":"STEP 14:  신용평가 머신러닝 모델을 새로운 고객에게 적용해 본다.","text":"%sql \n\n/* 가장 높은 정확도(확률)로 예측된 고객 정보를 순서대로 보여준다. */\n\nwith a as (\n    select \n        Customer_ID, credit_score_bin,\n        prediction_probability(N1_CLASS_MODEL, NULL using *) prob_Credit_Score_Bin --예측의 정확도를 %로 나타낸다.\n        from credit_scoring_new_cust_v\n),\nb as (\n    select \n        Customer_id, credit_score_bin,\n        round(prob_Credit_Score_Bin *100,2) prob_Credit_Score_Bin\n        from a\n)\nselect b.customer_id\n, b.credit_score_bin\n, b.prob_Credit_Score_Bin\n, c.age, c.income, c.tenure, c.loan_type, c.loan_amount, c.occupation, c.education_level, c.marital_status\nfrom b, credit_scoring_100k_v c\nwhere b.customer_id = c.customer_id\norder by b.prob_Credit_Score_Bin desc;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:31:03+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUSTOMER_ID\tCREDIT_SCORE_BIN\tPROB_CREDIT_SCORE_BIN\tAGE\tINCOME\tTENURE\tLOAN_TYPE\tLOAN_AMOUNT\tOCCUPATION\tEDUCATION_LEVEL\tMARITAL_STATUS\n58632\tGood Credit\t100\t26\t5250\t29\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n14299\tGood Credit\t100\t35\t4250\t9\tHousing\t50000\tProfessional\tBachelor's Degree\tMarried\n81546\tGood Credit\t100\t45\t6250\t11\tNeed\t35000\tManager\tBachelor's Degree\tSingle\n36428\tGood Credit\t100\t45\t4250\t7\tHousing\t60000\tProfessional\tBachelor's Degree\tDivorced\n59760\tGood Credit\t100\t21\t6250\t72\tAuto\t45000\tManager\tBachelor's Degree\tSingle\n99849\tGood Credit\t100\t29\t6250\t13\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n47584\tGood Credit\t100\t47\t6250\t14\tHousing\t20000\tProfessional\tBachelor's Degree\tMarried\n25424\tGood Credit\t100\t46\t6250\t3\tHousing\t75000\tManager\tBachelor's Degree\tSingle\n84700\tGood Credit\t100\t65\t6250\t3\tHousing\t35000\tManager\tBachelor's Degree\tMarried\n89651\tGood Credit\t100\t57\t5250\t14\tNeed\t45000\tProfessional\tBachelor's Degree\tSingle\n75667\tGood Credit\t100\t24\t5250\t7\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n45519\tGood Credit\t100\t31\t4250\t3\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n51220\tGood Credit\t100\t18\t5250\t5\tNeed\t10000\tManager\tBachelor's Degree\tDivorced\n20280\tGood Credit\t100\t54\t5250\t2\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n93684\tGood Credit\t100\t45\t4250\t10\tHousing\t45000\tManager\tBachelor's Degree\tMarried\n32660\tGood Credit\t100\t26\t6250\t5\tAuto\t20000\tManager\tBachelor's Degree\tSingle\n20511\tGood Credit\t100\t19\t6250\t89\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n41918\tGood Credit\t100\t52\t6250\t16\tAuto\t50000\tManager\tBachelor's Degree\tMarried\n36213\tGood Credit\t100\t31\t6250\t15\tHousing\t105000\tProfessional\tBachelor's Degree\t\n18592\tGood Credit\t100\t67\t4250\t33\tNeed\t20000\tProfessional\tBachelor's Degree\tMarried\n30532\tGood Credit\t100\t71\t5250\t13\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n8419\tGood Credit\t100\t69\t6250\t11\tHousing\t100000\tProfessional\tBachelor's Degree\tSingle\n25740\tGood Credit\t100\t18\t4250\t8\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n81289\tGood Credit\t100\t25\t5250\t7\tAuto\t35000\tProfessional\tBachelor's Degree\tSingle\n96770\tGood Credit\t100\t49\t5250\t3\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n77576\tGood Credit\t100\t36\t6250\t6\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n94094\tGood Credit\t100\t55\t4250\t5\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n68163\tGood Credit\t100\t64\t6250\t78\tHousing\t40000\tManager\tBachelor's Degree\tMarried\n26948\tGood Credit\t100\t34\t4250\t3\tEducation\t20000\tManager\tBachelor's Degree\tMarried\n59529\tGood Credit\t100\t40\t4250\t2\tNeed\t10000\tProfessional\tBachelor's Degree\tSingle\n72037\tGood Credit\t100\t23\t6250\t10\tNeed\t40000\tProfessional\tBachelor's Degree\tSingle\n32090\tGood Credit\t100\t26\t6250\t13\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n32136\tGood Credit\t100\t63\t6250\t12\tNeed\t25000\tProfessional\tBachelor's Degree\tDivorced\n65229\tGood Credit\t100\t32\t6250\t1\tAuto\t20000\tProfessional\tBachelor's Degree\tMarried\n26505\tGood Credit\t100\t35\t5250\t1\tHousing\t60000\tManager\tBachelor's Degree\tMarried\n27061\tGood Credit\t100\t36\t4250\t29\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n47385\tGood Credit\t100\t47\t6250\t27\tHousing\t25000\tManager\tBachelor's Degree\tMarried\n41140\tGood Credit\t100\t55\t5250\t7\tEducation\t10000\tManager\tBachelor's Degree\tMarried\n79094\tGood Credit\t100\t35\t4250\t63\tAuto\t35000\tManager\tBachelor's Degree\tMarried\n9470\tGood Credit\t100\t46\t5250\t3\tNeed\t15000\tProfessional\tBachelor's Degree\tSingle\n53265\tGood Credit\t100\t48\t5250\t32\tHousing\t105000\tProfessional\tBachelor's Degree\tMarried\n91151\tGood Credit\t100\t29\t4250\t37\tHousing\t15000\tProfessional\tBachelor's Degree\tMarried\n55041\tGood Credit\t100\t42\t4250\t57\tHousing\t20000\tManager\tBachelor's Degree\tMarried\n89786\tGood Credit\t100\t30\t4250\t25\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n17750\tGood Credit\t100\t18\t6250\t10\tHousing\t45000\tManager\tBachelor's Degree\tSingle\n64801\tGood Credit\t100\t22\t5250\t6\tAuto\t15000\tManager\tBachelor's Degree\tMarried\n72999\tGood Credit\t100\t62\t5250\t36\tHousing\t20000\tManager\tBachelor's Degree\tMarried\n32205\tGood Credit\t100\t63\t6250\t39\tHousing\t50000\tManager\tBachelor's Degree\tSingle\n88700\tGood Credit\t100\t52\t5250\t8\tNeed\t35000\tManager\tBachelor's Degree\tSingle\n84190\tGood Credit\t100\t46\t6250\t6\tEducation\t10000\tManager\tBachelor's Degree\tDivorced\n39916\tGood Credit\t100\t58\t5250\t10\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n1644\tGood Credit\t100\t55\t4250\t30\t\t20000\tProfessional\tBachelor's Degree\tSingle\n68923\tGood Credit\t100\t25\t5250\t32\tHousing\t90000\tManager\tBachelor's Degree\tMarried\n78493\tGood Credit\t100\t43\t6250\t6\t\t45000\tManager\tBachelor's Degree\tSingle\n93058\tGood Credit\t100\t34\t4250\t3\tNeed\t15000\tManager\tBachelor's Degree\tSingle\n84778\tGood Credit\t100\t27\t4250\t9\tHousing\t105000\tManager\tBachelor's Degree\tMarried\n10140\tGood Credit\t100\t33\t6250\t10\tNeed\t20000\tProfessional\tBachelor's Degree\tSingle\n60791\tGood Credit\t100\t66\t4250\t26\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n64382\tGood Credit\t100\t20\t5250\t14\tHousing\t90000\tManager\tBachelor's Degree\tMarried\n59090\tGood Credit\t100\t21\t5250\t24\tHousing\t50000\tManager\tBachelor's Degree\tSingle\n23009\tGood Credit\t100\t68\t5250\t3\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n31933\tGood Credit\t100\t51\t4250\t29\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n32983\tGood Credit\t100\t43\t5250\t12\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n40165\tGood Credit\t100\t27\t4250\t1\tNeed\t20000\tProfessional\tBachelor's Degree\t\n91070\tGood Credit\t100\t20\t5250\t54\tAuto\t10000\tManager\tBachelor's Degree\tMarried\n78340\tGood Credit\t100\t54\t5250\t66\tHousing\t55000\tProfessional\tBachelor's Degree\tMarried\n46997\tGood Credit\t100\t48\t5250\t3\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n5080\tGood Credit\t100\t26\t6250\t14\tNeed\t35000\tProfessional\tBachelor's Degree\tDivorced\n51666\tGood Credit\t100\t54\t5250\t10\tNeed\t35000\tManager\tBachelor's Degree\tSingle\n68539\tGood Credit\t100\t65\t4250\t15\tEducation\t20000\tManager\tBachelor's Degree\tSingle\n33700\tGood Credit\t100\t56\t4250\t27\tHousing\t105000\tProfessional\tBachelor's Degree\tMarried\n14658\tGood Credit\t100\t43\t6250\t36\tEducation\t20000\t\tBachelor's Degree\tMarried\n44186\tGood Credit\t100\t27\t5250\t6\tNeed\t30000\tProfessional\tBachelor's Degree\tSingle\n70722\tGood Credit\t100\t20\t4250\t12\tAuto\t45000\tManager\tBachelor's Degree\tMarried\n27390\tGood Credit\t100\t49\t5250\t12\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n13801\tGood Credit\t100\t52\t5250\t9\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n13344\tGood Credit\t100\t67\t6250\t30\tHousing\t95000\tProfessional\tBachelor's Degree\tMarried\n78059\tGood Credit\t100\t18\t4250\t6\tAuto\t50000\tProfessional\tBachelor's Degree\tMarried\n73219\tGood Credit\t100\t38\t4250\t93\tAuto\t20000\tManager\tBachelor's Degree\tMarried\n99005\tGood Credit\t100\t28\t6250\t5\tHousing\t80000\tProfessional\tBachelor's Degree\tMarried\n98448\tGood Credit\t100\t24\t4250\t9\tHousing\t75000\tManager\tBachelor's Degree\tMarried\n89172\tGood Credit\t100\t25\t6250\t4\tHousing\t85000\tManager\t\tSingle\n75496\tGood Credit\t100\t18\t6250\t27\tAuto\t10000\tManager\tBachelor's Degree\tSingle\n76919\tGood Credit\t100\t65\t5250\t14\tAuto\t25000\tProfessional\tBachelor's Degree\tMarried\n97741\tGood Credit\t100\t22\t4250\t25\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n90281\tGood Credit\t100\t28\t4250\t9\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n92001\tGood Credit\t100\t56\t6250\t39\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n78004\tGood Credit\t100\t61\t6250\t25\tNeed\t25000\tManager\tBachelor's Degree\tDivorced\n38555\tGood Credit\t100\t28\t4250\t24\tAuto\t\tManager\tBachelor's Degree\tMarried\n80541\tGood Credit\t100\t37\t5250\t12\tNeed\t30000\tManager\tBachelor's Degree\tDivorced\n80269\tGood Credit\t100\t27\t4250\t39\tHousing\t55000\tProfessional\tBachelor's Degree\tDivorced\n27107\tGood Credit\t100\t34\t4250\t12\tHousing\t70000\tManager\tBachelor's Degree\tDivorced\n65062\tGood Credit\t100\t63\t6250\t9\tHousing\t60000\tProfessional\tBachelor's Degree\tMarried\n9066\tGood Credit\t100\t18\t4250\t14\tAuto\t15000\tManager\tBachelor's Degree\tSingle\n93404\tGood Credit\t100\t43\t4250\t4\tNeed\t45000\tProfessional\tBachelor's Degree\tSingle\n97519\tGood Credit\t100\t56\t6250\t5\tAuto\t45000\tManager\tBachelor's Degree\tMarried\n62979\tGood Credit\t100\t71\t4250\t11\tNeed\t25000\tManager\tBachelor's Degree\tSingle\n69710\tGood Credit\t100\t18\t5250\t20\tNeed\t15000\tManager\tBachelor's Degree\tSingle\n47219\tGood Credit\t100\t60\t5250\t2\tHousing\t60000\tProfessional\tBachelor's Degree\tSingle\n60396\tGood Credit\t100\t25\t5250\t61\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n91243\tGood Credit\t100\t25\t5250\t6\tHousing\t55000\tManager\tBachelor's Degree\tMarried\n81190\tGood Credit\t100\t33\t5250\t32\tAuto\t35000\tManager\tBachelor's Degree\tMarried\n8133\tGood Credit\t100\t48\t6250\t9\tHousing\t95000\tProfessional\tBachelor's Degree\tSingle\n94659\tGood Credit\t100\t45\t4250\t15\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n24829\tGood Credit\t100\t62\t5250\t12\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n28131\tGood Credit\t100\t21\t5250\t4\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n90920\tGood Credit\t100\t51\t5250\t14\tEducation\t15000\tProfessional\t\tMarried\n24951\tGood Credit\t100\t40\t4250\t11\tHousing\t90000\tManager\tBachelor's Degree\tMarried\n86598\tGood Credit\t100\t63\t5250\t42\tAuto\t50000\tProfessional\tBachelor's Degree\tMarried\n34420\tGood Credit\t100\t65\t4250\t87\tHousing\t15000\tProfessional\tBachelor's Degree\tSingle\n72838\tGood Credit\t100\t60\t4250\t6\tAuto\t40000\tProfessional\tBachelor's Degree\tMarried\n76699\tGood Credit\t100\t28\t5250\t1\tHousing\t50000\tManager\tBachelor's Degree\tMarried\n8231\tGood Credit\t100\t27\t4250\t9\tEducation\t15000\tManager\tBachelor's Degree\tMarried\n15789\tGood Credit\t100\t50\t5250\t15\tAuto\t15000\tManager\tBachelor's Degree\tMarried\n71284\tGood Credit\t100\t63\t4250\t6\tHousing\t15000\tManager\tBachelor's Degree\tSingle\n99304\tGood Credit\t100\t24\t6250\t12\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n57606\tGood Credit\t100\t19\t4250\t33\tEducation\t10000\tProfessional\tBachelor's Degree\tSingle\n41753\tGood Credit\t100\t28\t5250\t1\tHousing\t65000\tProfessional\tBachelor's Degree\tMarried\n99163\tGood Credit\t100\t18\t6250\t3\tAuto\t25000\tProfessional\tBachelor's Degree\tMarried\n84753\tGood Credit\t100\t36\t6250\t10\tNeed\t35000\tProfessional\tBachelor's Degree\tDivorced\n77157\tGood Credit\t100\t27\t4250\t\tNeed\t25000\tManager\tBachelor's Degree\tSingle\n2954\tOther Credit\t98.82\t64\t3750\t68\tHousing\t75000\tFarmer\tMaster's Degree\tMarried\n47590\tOther Credit\t98.82\t24\t2750\t39\tHousing\t65000\tFarmer\tBachelor's Degree\tMarried\n33611\tOther Credit\t98.82\t31\t500\t59\tNeed\t35000\tTechnician\tPrimary School Grad\tMarried\n30518\tOther Credit\t98.82\t29\t2750\t8\tAuto\t55000\tManager\t\tMarried\n47930\tOther Credit\t98.82\t52\t2750\t3\tNeed\t15000\tClerical\tBachelor's Degree\tMarried\n88879\tOther Credit\t98.82\t32\t3750\t41\tNeed\t10000\tArmy\tMaster's Degree\tMarried\n78473\tOther Credit\t98.82\t27\t2150\t11\tHousing\t20000\tProfessional\tMaster's Degree\tSingle\n50603\tOther Credit\t98.82\t30\t2750\t11\tNeed\t40000\tWorker\tBachelor's Degree\tMarried\n45015\tOther Credit\t98.82\t45\t2150\t73\tHousing\t85000\tProfessional\tMaster's Degree\tMarried\n85369\tOther Credit\t98.82\t62\t3750\t32\tAuto\t20000\tArmy\tMaster's Degree\tMarried\n5839\tOther Credit\t98.82\t67\t2150\t23\tAuto\t40000\tClerical\tMaster's Degree\tMarried\n19358\tOther Credit\t98.82\t37\t2150\t39\tHousing\t95000\tTechnician\tBachelor's Degree\tSingle\n49438\tOther Credit\t98.82\t63\t2750\t17\tNeed\t30000\tClerical\tMaster's Degree\tMarried\n31841\tOther Credit\t98.82\t67\t2150\t11\tNeed\t10000\tWorker\tMaster's Degree\tMarried\n42785\tOther Credit\t98.82\t29\t2150\t26\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n90863\tOther Credit\t98.82\t44\t2750\t14\tHousing\t35000\tClerical\tBachelor's Degree\tMarried\n73899\tOther Credit\t98.82\t57\t2750\t13\tNeed\t20000\tTechnician\tMaster's Degree\tSingle\n3818\tOther Credit\t98.82\t38\t2750\t15\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n75110\tOther Credit\t98.82\t54\t2750\t15\tAuto\t10000\tTechnician\tMaster's Degree\tSingle\n86365\tOther Credit\t98.82\t28\t3750\t11\tNeed\t10000\tWorker\tMaster's Degree\tDivorced\n50966\tOther Credit\t98.82\t65\t3750\t3\tHousing\t15000\tFarmer\tMaster's Degree\tMarried\n17104\tOther Credit\t98.82\t66\t2150\t23\tHousing\t45000\tArmy\t\tMarried\n49592\tOther Credit\t98.82\t33\t2750\t7\tAuto\t25000\tArmy\tBachelor's Degree\tSingle\n91650\tOther Credit\t98.82\t18\t500\t12\tNeed\t20000\tFarmer\tPrimary School Grad\tSingle\n6661\tOther Credit\t98.82\t54\t2750\t5\tNeed\t30000\tTechnician\tMaster's Degree\tMarried\n25365\tOther Credit\t98.82\t28\t2750\t17\tNeed\t35000\tTechnician\tBachelor's Degree\tMarried\n97985\tOther Credit\t98.82\t52\t2750\t22\tHousing\t60000\tTechnician\tMaster's Degree\tSingle\n67162\tOther Credit\t98.82\t18\t2750\t75\tNeed\t35000\tWorker\t\tMarried\n3872\tOther Credit\t98.82\t44\t2150\t30\tAuto\t45000\tFarmer\tBachelor's Degree\tMarried\n1919\tOther Credit\t98.82\t70\t2150\t29\tAuto\t30000\tManager\tMaster's Degree\tMarried\n72030\tOther Credit\t98.82\t63\t2750\t13\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n72433\tOther Credit\t98.82\t56\t2150\t8\tHousing\t35000\tWorker\tMaster's Degree\tDivorced\n98346\tOther Credit\t98.82\t51\t2750\t38\tAuto\t25000\tArmy\tBachelor's Degree\tDivorced\n89956\tOther Credit\t98.82\t36\t2150\t14\tNeed\t20000\tTechnician\tMaster's Degree\tSingle\n90\tOther Credit\t98.82\t21\t2750\t7\tAuto\t35000\tManager\tMaster's Degree\tSingle\n64266\tOther Credit\t98.82\t69\t2150\t7\tNeed\t15000\tWorker\tBachelor's Degree\tSingle\n57504\tOther Credit\t98.82\t60\t2750\t11\tHousing\t60000\tTechnician\tMaster's Degree\tMarried\n66627\tOther Credit\t98.82\t45\t2750\t34\tAuto\t55000\tManager\tBachelor's Degree\tDivorced\n19129\tOther Credit\t98.82\t42\t2750\t23\tHousing\t40000\tClerical\tBachelor's Degree\tMarried\n95960\tOther Credit\t98.82\t26\t2750\t8\tHousing\t55000\tProfessional\tBachelor's Degree\tSingle\n79402\tOther Credit\t98.82\t24\t2150\t27\tHousing\t55000\tTechnician\tBachelor's Degree\tSingle\n36075\tOther Credit\t98.82\t27\t2750\t60\tNeed\t15000\tTechnician\tMaster's Degree\tMarried\n97097\tOther Credit\t98.82\t66\t2750\t29\tHousing\t25000\tArmy\tBachelor's Degree\t\n37067\tOther Credit\t98.82\t53\t500\t35\tHousing\t50000\tProfessional\tPrimary School Grad\tSingle\n8317\tOther Credit\t98.82\t71\t500\t3\tHousing\t55000\tManager\tPrimary School Grad\tDivorced\n53405\tOther Credit\t98.82\t27\t2750\t30\tHousing\t65000\tWorker\tBachelor's Degree\tMarried\n73671\tOther Credit\t98.82\t38\t2750\t10\tAuto\t50000\tProfessional\tBachelor's Degree\tMarried\n16219\tOther Credit\t98.82\t27\t2150\t17\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n41518\tOther Credit\t98.82\t37\t2750\t34\tHousing\t40000\tTechnician\tBachelor's Degree\tMarried\n83820\tOther Credit\t98.82\t22\t2150\t34\tHousing\t60000\tProfessional\tMaster's Degree\tMarried\n13350\tOther Credit\t98.82\t53\t2150\t21\tAuto\t35000\tManager\tBachelor's Degree\tSingle\n73582\tOther Credit\t98.82\t46\t2150\t38\tNeed\t45000\tTechnician\tBachelor's Degree\tMarried\n18809\tOther Credit\t98.82\t54\t500\t25\tHousing\t55000\tArmy\tPrimary School Grad\tDivorced\n23949\tOther Credit\t98.82\t57\t2150\t23\tHousing\t25000\tArmy\tMaster's Degree\tMarried\n76093\tOther Credit\t98.82\t28\t500\t36\tHousing\t70000\tProfessional\tPrimary School Grad\tMarried\n56614\tOther Credit\t98.82\t54\t2750\t7\tAuto\t25000\tClerical\tBachelor's Degree\tSingle\n26956\tOther Credit\t98.82\t51\t2750\t5\tNeed\t25000\tWorker\tBachelor's Degree\tSingle\n70407\tOther Credit\t98.82\t27\t3750\t20\tNeed\t30000\tProfessional\tMaster's Degree\tMarried\n85596\tOther Credit\t98.82\t58\t2750\t12\tHousing\t40000\tTechnician\tMaster's Degree\tMarried\n86489\tOther Credit\t98.82\t20\t2750\t6\tNeed\t45000\tProfessional\tMaster's Degree\tSingle\n16585\tOther Credit\t98.82\t50\t3750\t14\tNeed\t40000\tManager\tMaster's Degree\tSingle\n94630\tOther Credit\t98.82\t63\t2150\t13\tAuto\t20000\tArmy\tBachelor's Degree\tMarried\n5722\tOther Credit\t98.82\t64\t2750\t8\tAuto\t55000\tArmy\tBachelor's Degree\tSingle\n5163\tOther Credit\t98.82\t31\t2750\t6\tNeed\t25000\tFarmer\tBachelor's Degree\tMarried\n66745\tOther Credit\t98.82\t21\t2750\t6\tHousing\t30000\tArmy\tBachelor's Degree\tMarried\n3292\tOther Credit\t98.82\t35\t2750\t3\tEducation\t10000\tFarmer\tMaster's Degree\tMarried\n81230\tOther Credit\t98.82\t36\t2150\t34\tNeed\t15000\tTechnician\tBachelor's Degree\tDivorced\n7603\tOther Credit\t98.82\t31\t2150\t2\tHousing\t65000\tProfessional\tMaster's Degree\tMarried\n52651\tOther Credit\t98.82\t69\t2750\t11\tAuto\t20000\tClerical\tMaster's Degree\tMarried\n57586\tOther Credit\t98.82\t18\t2750\t6\tNeed\t45000\tProfessional\tMaster's Degree\tMarried\n83599\tOther Credit\t98.82\t52\t500\t26\tEducation\t20000\tManager\tPrimary School Grad\tSingle\n91594\tOther Credit\t98.82\t41\t2750\t20\tHousing\t100000\tFarmer\tBachelor's Degree\tSingle\n68596\tOther Credit\t98.82\t42\t2750\t77\tEducation\t10000\tClerical\tMaster's Degree\tMarried\n45607\tOther Credit\t98.82\t29\t2750\t71\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n66387\tOther Credit\t98.82\t39\t2150\t9\tAuto\t25000\tManager\tBachelor's Degree\tSingle\n55323\tOther Credit\t98.82\t69\t2150\t2\tNeed\t10000\tWorker\tMaster's Degree\tSingle\n37301\tOther Credit\t98.82\t41\t500\t11\tNeed\t25000\tClerical\tPrimary School Grad\tSingle\n84453\tOther Credit\t98.82\t64\t2150\t15\tAuto\t20000\tTechnician\tBachelor's Degree\tMarried\n31413\tOther Credit\t98.82\t23\t2750\t38\tHousing\t30000\tFarmer\tMaster's Degree\tMarried\n83535\tOther Credit\t98.82\t62\t2750\t73\tNeed\t10000\tTechnician\tMaster's Degree\tMarried\n68213\tOther Credit\t98.82\t53\t2150\t6\tHousing\t50000\tManager\tBachelor's Degree\tMarried\n97019\tOther Credit\t98.82\t48\t2150\t13\tEducation\t20000\tTechnician\tMaster's Degree\tMarried\n73811\tOther Credit\t98.82\t41\t2750\t12\tAuto\t15000\tArmy\tBachelor's Degree\tSingle\n93616\tOther Credit\t98.82\t18\t500\t1\tNeed\t10000\tWorker\tPrimary School Grad\tSingle\n3016\tOther Credit\t98.82\t21\t2750\t11\tNeed\t45000\tClerical\tBachelor's Degree\tMarried\n51598\tOther Credit\t98.82\t54\t3750\t3\tNeed\t40000\tFarmer\tMaster's Degree\tMarried\n86851\tOther Credit\t98.82\t57\t2150\t22\tNeed\t35000\tTechnician\tMaster's Degree\tSingle\n23477\tOther Credit\t98.82\t26\t2750\t13\tEducation\t15000\tManager\tMaster's Degree\tMarried\n76263\tOther Credit\t98.82\t25\t3750\t19\tEducation\t20000\tArmy\tMaster's Degree\tMarried\n23937\tOther Credit\t98.82\t40\t2750\t1\tNeed\t45000\tProfessional\tMaster's Degree\tMarried\n17333\tOther Credit\t98.82\t54\t\t13\tHousing\t95000\tWorker\tBachelor's Degree\tMarried\n86980\tOther Credit\t98.82\t56\t2750\t39\tAuto\t20000\tWorker\tBachelor's Degree\tMarried\n24703\tOther Credit\t98.82\t20\t2750\t13\tNeed\t35000\tFarmer\tMaster's Degree\tMarried\n68149\tOther Credit\t98.82\t27\t2150\t15\tAuto\t25000\tTechnician\tMaster's Degree\tMarried\n52886\tOther Credit\t98.82\t64\t2150\t27\tHousing\t40000\tWorker\tMaster's Degree\tSingle\n19901\tOther Credit\t98.82\t44\t2750\t9\tHousing\t75000\tArmy\tBachelor's Degree\tMarried\n11431\tOther Credit\t98.82\t31\t2150\t21\tNeed\t35000\tFarmer\tMaster's Degree\tSingle\n51298\tOther Credit\t98.82\t58\t2150\t11\tHousing\t65000\tProfessional\tBachelor's Degree\tMarried\n820\tOther Credit\t98.82\t65\t500\t9\tNeed\t15000\tTechnician\tPrimary School Grad\tMarried\n78372\tOther Credit\t98.82\t70\t2150\t2\tNeed\t20000\tTechnician\tMaster's Degree\tMarried\n24024\tOther Credit\t98.82\t32\t2150\t15\tHousing\t50000\tClerical\tMaster's Degree\tMarried\n21224\tOther Credit\t98.82\t25\t2750\t13\tHousing\t95000\tClerical\tBachelor's Degree\tDivorced\n26882\tOther Credit\t98.82\t59\t2750\t15\tNeed\t15000\tClerical\tBachelor's Degree\tMarried\n86818\tOther Credit\t98.82\t32\t2750\t39\tEducation\t10000\tArmy\tBachelor's Degree\tMarried\n20752\tOther Credit\t98.82\t41\t2750\t7\tNeed\t45000\tClerical\tBachelor's Degree\tMarried\n4005\tOther Credit\t98.82\t63\t2150\t38\tAuto\t45000\tFarmer\tMaster's Degree\tMarried\n75702\tOther Credit\t98.82\t56\t500\t36\tAuto\t25000\tArmy\tPrimary School Grad\tSingle\n84235\tOther Credit\t98.82\t35\t2150\t21\tHousing\t25000\tProfessional\tBachelor's Degree\tDivorced\n76296\tOther Credit\t98.82\t49\t2750\t9\tAuto\t50000\tProfessional\tMaster's Degree\tMarried\n31025\tOther Credit\t98.82\t44\t2150\t15\tNeed\t35000\tWorker\tBachelor's Degree\tMarried\n42083\tGood Credit\t98.82\t53\t2750\t1\tEducation\t10000\tFarmer\tBachelor's Degree\tMarried\n98438\tOther Credit\t98.82\t39\t3750\t7\tNeed\t40000\tManager\tMaster's Degree\t\n73185\tOther Credit\t98.82\t18\t2150\t33\tAuto\t10000\tWorker\tBachelor's Degree\tSingle\n26969\tOther Credit\t98.82\t49\t2750\t85\tHousing\t75000\tClerical\tBachelor's Degree\tMarried\n14249\tOther Credit\t98.82\t54\t2150\t4\tAuto\t50000\tTechnician\tMaster's Degree\tMarried\n87515\tOther Credit\t98.82\t\t3750\t37\tNeed\t35000\tClerical\tMaster's Degree\tMarried\n21765\tOther Credit\t98.82\t24\t500\t25\tEducation\t15000\tArmy\tPrimary School Grad\tMarried\n58760\tOther Credit\t98.82\t69\t2150\t7\tNeed\t30000\tArmy\tMaster's Degree\tSingle\n60641\tOther Credit\t98.82\t53\t2750\t16\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n33339\tOther Credit\t98.82\t31\t2750\t29\tHousing\t80000\tWorker\tBachelor's Degree\tDivorced\n50677\tOther Credit\t98.82\t24\t2750\t29\tHousing\t30000\tManager\tMaster's Degree\tSingle\n14044\tOther Credit\t98.82\t32\t2150\t4\tHousing\t30000\tProfessional\tMaster's Degree\tSingle\n5397\tOther Credit\t98.82\t70\t2150\t35\tHousing\t75000\tTechnician\tBachelor's Degree\tSingle\n45853\tOther Credit\t98.82\t25\t2150\t11\tAuto\t15000\tFarmer\tBachelor's Degree\tMarried\n39419\tOther Credit\t98.82\t46\t3750\t10\tEducation\t\tWorker\tMaster's Degree\tMarried\n14820\tOther Credit\t98.82\t56\t2150\t10\tAuto\t30000\tClerical\tMaster's Degree\tSingle\n91902\tOther Credit\t98.82\t19\t2750\t5\tNeed\t20000\tFarmer\tBachelor's Degree\tSingle\n69563\tOther Credit\t98.82\t27\t3750\t88\tAuto\t35000\tFarmer\tMaster's Degree\tSingle\n99632\tOther Credit\t98.82\t45\t2750\t10\tAuto\t55000\tArmy\tBachelor's Degree\tMarried\n93663\tOther Credit\t98.82\t22\t2150\t12\tNeed\t10000\tTechnician\tBachelor's Degree\tSingle\n63557\tOther Credit\t98.82\t32\t2150\t15\tNeed\t20000\tTechnician\tBachelor's Degree\tSingle\n78585\tOther Credit\t98.82\t54\t2750\t12\tNeed\t40000\tFarmer\tBachelor's Degree\tSingle\n7502\tOther Credit\t98.82\t39\t2150\t39\tAuto\t55000\tManager\tMaster's Degree\tSingle\n98512\tOther Credit\t98.82\t71\t2750\t10\tNeed\t15000\tManager\tMaster's Degree\tMarried\n16353\tOther Credit\t98.82\t18\t2150\t4\tEducation\t15000\tClerical\tMaster's Degree\t\n48506\tOther Credit\t98.82\t63\t2150\t10\tAuto\t35000\tFarmer\tBachelor's Degree\tMarried\n97148\tOther Credit\t98.82\t27\t500\t9\tNeed\t40000\tManager\tPrimary School Grad\tMarried\n79972\tOther Credit\t98.82\t31\t2150\t12\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n2457\tOther Credit\t98.82\t54\t3750\t8\tNeed\t30000\tWorker\tMaster's Degree\tSingle\n60988\tOther Credit\t98.82\t24\t2150\t3\tAuto\t20000\tWorker\tBachelor's Degree\tSingle\n40075\tOther Credit\t98.82\t69\t2750\t13\tHousing\t10000\tProfessional\tMaster's Degree\tDivorced\n83454\tOther Credit\t98.82\t62\t2150\t14\tNeed\t35000\tFarmer\tBachelor's Degree\tMarried\n88044\tOther Credit\t98.82\t52\t2150\t32\tNeed\t40000\tArmy\tBachelor's Degree\tMarried\n2272\tOther Credit\t98.82\t22\t2750\t26\tNeed\t10000\tWorker\tMaster's Degree\tMarried\n67166\tOther Credit\t98.82\t59\t2750\t31\tEducation\t15000\tFarmer\tBachelor's Degree\tSingle\n60028\tOther Credit\t98.82\t63\t2750\t5\tNeed\t45000\tTechnician\tMaster's Degree\tSingle\n44371\tOther Credit\t98.82\t39\t2750\t31\tHousing\t95000\tTechnician\tMaster's Degree\tSingle\n70171\tOther Credit\t98.82\t25\t2150\t31\tNeed\t15000\tClerical\tBachelor's Degree\tDivorced\n32280\tOther Credit\t98.82\t56\t2150\t42\tHousing\t75000\tTechnician\tMaster's Degree\tMarried\n63352\tOther Credit\t98.82\t54\t500\t55\tNeed\t25000\tClerical\tPrimary School Grad\tMarried\n68543\tOther Credit\t98.82\t40\t2150\t23\tEducation\t20000\tWorker\tMaster's Degree\tSingle\n30724\tOther Credit\t98.82\t52\t2150\t1\tNeed\t10000\tProfessional\tMaster's Degree\tMarried\n94476\tOther Credit\t98.82\t68\t2750\t14\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n10695\tOther Credit\t98.82\t31\t2750\t8\tNeed\t40000\tFarmer\tMaster's Degree\tMarried\n60382\tOther Credit\t98.82\t54\t2150\t12\tHousing\t25000\tProfessional\tBachelor's Degree\tMarried\n35177\tOther Credit\t98.82\t57\t2150\t59\tEducation\t10000\tWorker\tBachelor's Degree\tMarried\n43535\tOther Credit\t98.82\t35\t2750\t10\tHousing\t90000\tManager\tBachelor's Degree\tSingle\n60667\tOther Credit\t98.82\t64\t2750\t16\tHousing\t65000\tManager\tBachelor's Degree\tSingle\n69586\tOther Credit\t98.82\t33\t2750\t24\tNeed\t35000\tProfessional\tBachelor's Degree\tSingle\n41475\tOther Credit\t98.82\t60\t2750\t86\tHousing\t100000\tWorker\tMaster's Degree\tSingle\n64493\tOther Credit\t98.82\t48\t2750\t2\tHousing\t90000\tProfessional\tMaster's Degree\tDivorced\n85520\tOther Credit\t98.82\t47\t2150\t1\tHousing\t25000\tFarmer\tMaster's Degree\tMarried\n5734\tOther Credit\t98.82\t61\t3750\t10\tHousing\t30000\tArmy\tMaster's Degree\tMarried\n16790\tOther Credit\t98.82\t48\t2750\t\tNeed\t45000\tArmy\tBachelor's Degree\tMarried\n53403\tOther Credit\t98.82\t19\t2150\t9\tHousing\t20000\tArmy\tBachelor's Degree\tSingle\n55140\tOther Credit\t98.82\t36\t3750\t64\tHousing\t30000\tClerical\tMaster's Degree\tSingle\n84538\tOther Credit\t98.82\t41\t500\t37\tAuto\t20000\tArmy\tPrimary School Grad\tMarried\n55110\tOther Credit\t98.82\t55\t2750\t12\tAuto\t50000\tProfessional\tMaster's Degree\tMarried\n64358\tOther Credit\t98.82\t22\t2750\t2\tAuto\t15000\tManager\tBachelor's Degree\tMarried\n47347\tOther Credit\t98.82\t70\t2750\t2\tAuto\t30000\tWorker\tBachelor's Degree\tMarried\n99660\tOther Credit\t98.82\t66\t2750\t5\tHousing\t15000\tManager\t\tMarried\n15591\tOther Credit\t98.82\t71\t2150\t8\tNeed\t25000\tFarmer\tMaster's Degree\tDivorced\n59839\tOther Credit\t98.82\t36\t2150\t8\tEducation\t20000\tClerical\tBachelor's Degree\tMarried\n24246\tOther Credit\t98.82\t54\t500\t20\tNeed\t45000\tProfessional\tPrimary School Grad\tMarried\n38120\tOther Credit\t98.82\t52\t2150\t13\tHousing\t50000\tClerical\tMaster's Degree\tMarried\n49439\tOther Credit\t98.82\t52\t500\t12\tNeed\t45000\tWorker\tPrimary School Grad\tMarried\n20709\tOther Credit\t98.82\t57\t3750\t11\tNeed\t15000\tClerical\tMaster's Degree\tSingle\n11588\tOther Credit\t98.82\t50\t\t46\tHousing\t50000\tTechnician\tBachelor's Degree\tSingle\n88408\tOther Credit\t98.82\t49\t2150\t12\tEducation\t10000\tClerical\tBachelor's Degree\tMarried\n24353\tOther Credit\t98.82\t\t2750\t23\tHousing\t65000\tManager\tBachelor's Degree\tSingle\n52362\tOther Credit\t98.82\t57\t2750\t8\tHousing\t70000\tClerical\tMaster's Degree\tSingle\n11525\tOther Credit\t98.82\t60\t2150\t38\tHousing\t20000\tWorker\tMaster's Degree\tSingle\n11707\tOther Credit\t98.82\t22\t2150\t66\tNeed\t35000\tWorker\tMaster's Degree\tMarried\n22619\tOther Credit\t98.82\t44\t2750\t8\tNeed\t40000\tWorker\tMaster's Degree\tMarried\n4048\tOther Credit\t98.82\t27\t2750\t17\tHousing\t60000\tClerical\tBachelor's Degree\tMarried\n60524\tOther Credit\t98.82\t57\t2750\t13\tNeed\t25000\tTechnician\tBachelor's Degree\tMarried\n47888\tOther Credit\t98.82\t30\t2150\t86\tHousing\t\tWorker\tBachelor's Degree\tSingle\n22424\tOther Credit\t98.82\t58\t2150\t2\tHousing\t50000\tManager\tMaster's Degree\tMarried\n41219\tOther Credit\t98.82\t\t2750\t15\tEducation\t20000\tArmy\tBachelor's Degree\tDivorced\n25632\tOther Credit\t98.82\t37\t2750\t1\tHousing\t25000\tProfessional\tBachelor's Degree\tSingle\n9992\tOther Credit\t98.82\t59\t2150\t\tAuto\t35000\tClerical\tBachelor's Degree\tMarried\n25919\tOther Credit\t98.82\t59\t2750\t39\tNeed\t20000\tClerical\tBachelor's Degree\tSingle\n62855\tOther Credit\t98.82\t27\t500\t40\tHousing\t35000\tWorker\tPrimary School Grad\tMarried\n90727\tOther Credit\t98.82\t42\t2150\t36\tNeed\t10000\tProfessional\tBachelor's Degree\tSingle\n55759\tOther Credit\t98.82\t57\t2150\t6\tAuto\t40000\tManager\tBachelor's Degree\tMarried\n69386\tOther Credit\t98.82\t24\t2150\t25\tNeed\t25000\tProfessional\tMaster's Degree\tSingle\n50639\tOther Credit\t98.82\t53\t3750\t16\tNeed\t30000\tManager\tMaster's Degree\tMarried\n71367\tOther Credit\t98.82\t68\t2750\t15\tNeed\t35000\tFarmer\tBachelor's Degree\tSingle\n79399\tOther Credit\t98.82\t47\t2150\t11\tNeed\t40000\tArmy\tBachelor's Degree\tMarried\n50820\tOther Credit\t98.82\t60\t500\t1\tHousing\t70000\tArmy\tPrimary School Grad\t\n44288\tOther Credit\t98.82\t38\t2750\t10\tHousing\t85000\tTechnician\tBachelor's Degree\tMarried\n99239\tOther Credit\t98.82\t45\t2150\t38\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n86237\tOther Credit\t98.82\t27\t2750\t50\tNeed\t40000\tTechnician\tMaster's Degree\tMarried\n44346\tOther Credit\t98.82\t65\t2750\t15\tNeed\t40000\tManager\tBachelor's Degree\tDivorced\n40317\tOther Credit\t98.82\t53\t500\t16\tAuto\t35000\tTechnician\tPrimary School Grad\tDivorced\n11718\tOther Credit\t98.82\t50\t500\t23\tAuto\t40000\tArmy\tPrimary School Grad\tMarried\n36436\tOther Credit\t98.82\t66\t2750\t2\tEducation\t15000\tTechnician\tBachelor's Degree\tMarried\n18448\tOther Credit\t98.82\t66\t2750\t29\tNeed\t15000\tClerical\tMaster's Degree\tMarried\n36486\tOther Credit\t98.82\t24\t2150\t37\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n18418\tOther Credit\t98.82\t43\t2750\t8\tAuto\t25000\tClerical\tMaster's Degree\tSingle\n20069\tOther Credit\t98.82\t59\t2750\t14\tHousing\t30000\tManager\tMaster's Degree\tMarried\n70529\tOther Credit\t98.82\t40\t500\t10\tHousing\t55000\tTechnician\tPrimary School Grad\tMarried\n21411\tOther Credit\t98.82\t40\t500\t62\tNeed\t20000\tArmy\tPrimary School Grad\tMarried\n22491\tOther Credit\t98.82\t21\t2150\t14\tHousing\t105000\tFarmer\tBachelor's Degree\tMarried\n75939\tOther Credit\t98.82\t27\t2150\t14\tHousing\t50000\tWorker\tBachelor's Degree\tSingle\n37024\tOther Credit\t98.82\t18\t500\t65\tNeed\t15000\tTechnician\tPrimary School Grad\tMarried\n86619\tOther Credit\t98.82\t64\t3750\t20\tHousing\t10000\tTechnician\tMaster's Degree\tDivorced\n97937\tOther Credit\t98.82\t37\t3750\t33\tEducation\t20000\tManager\tMaster's Degree\tMarried\n19711\tOther Credit\t98.82\t52\t500\t53\tHousing\t95000\tProfessional\tPrimary School Grad\tSingle\n3472\tOther Credit\t98.82\t27\t2150\t23\tNeed\t10000\tManager\tMaster's Degree\tDivorced\n21021\tOther Credit\t98.82\t64\t2150\t2\tHousing\t60000\tWorker\tBachelor's Degree\tSingle\n61382\tOther Credit\t98.82\t53\t2150\t3\tNeed\t15000\tClerical\tBachelor's Degree\tMarried\n17458\tOther Credit\t98.82\t46\t2150\t47\tHousing\t20000\tFarmer\tMaster's Degree\tMarried\n82222\tOther Credit\t98.82\t18\t2150\t8\tHousing\t70000\tClerical\tBachelor's Degree\tMarried\n4128\tOther Credit\t98.82\t44\t2150\t13\tNeed\t30000\tTechnician\tBachelor's Degree\tSingle\n44914\tOther Credit\t98.82\t58\t2150\t2\tNeed\t45000\tTechnician\tMaster's Degree\tDivorced\n14412\tOther Credit\t98.82\t54\t2750\t\tHousing\t50000\tManager\tBachelor's Degree\tMarried\n66920\tOther Credit\t98.82\t63\t2150\t8\tEducation\t20000\tWorker\tBachelor's Degree\tMarried\n65596\tOther Credit\t98.82\t46\t2150\t15\tEducation\t15000\tArmy\tBachelor's Degree\tDivorced\n56925\tOther Credit\t98.82\t67\t500\t30\tNeed\t30000\tTechnician\tPrimary School Grad\tDivorced\n32982\tOther Credit\t98.82\t19\t2150\t28\tNeed\t20000\tProfessional\tBachelor's Degree\tMarried\n42820\tOther Credit\t98.82\t53\t2750\t11\tHousing\t75000\tWorker\tBachelor's Degree\tSingle\n68772\tOther Credit\t98.82\t25\t3750\t2\tHousing\t100000\tFarmer\tMaster's Degree\tMarried\n88314\tOther Credit\t98.82\t63\t2150\t87\tNeed\t20000\tWorker\tBachelor's Degree\tMarried\n54418\tOther Credit\t98.82\t36\t2750\t11\tNeed\t15000\tFarmer\tBachelor's Degree\tDivorced\n80939\tOther Credit\t98.82\t56\t2150\t9\tNeed\t35000\tProfessional\tMaster's Degree\tSingle\n12743\tOther Credit\t98.82\t19\t2750\t6\tNeed\t40000\tWorker\tMaster's Degree\tMarried\n23933\tOther Credit\t98.82\t48\t2750\t11\tAuto\t40000\tClerical\tBachelor's Degree\tMarried\n7808\tOther Credit\t98.82\t36\t2150\t10\tEducation\t20000\tTechnician\tMaster's Degree\tMarried\n14790\tOther Credit\t98.82\t49\t2150\t9\tHousing\t100000\tFarmer\tMaster's Degree\tDivorced\n94534\tOther Credit\t98.82\t50\t2750\t26\tNeed\t35000\tClerical\tMaster's Degree\tMarried\n67280\tOther Credit\t98.82\t60\t2750\t49\tHousing\t60000\tManager\tBachelor's Degree\tMarried\n87348\tOther Credit\t98.82\t69\t2150\t61\tNeed\t15000\tFarmer\tBachelor's Degree\tMarried\n57264\tOther Credit\t98.82\t64\t2750\t8\tAuto\t30000\tClerical\tMaster's Degree\tMarried\n13611\tOther Credit\t98.82\t18\t2150\t10\tNeed\t35000\tClerical\tBachelor's Degree\tSingle\n29773\tOther Credit\t98.82\t36\t2150\t8\tHousing\t100000\tClerical\tBachelor's Degree\tMarried\n40451\tOther Credit\t98.82\t52\t2750\t9\tNeed\t45000\tWorker\tMaster's Degree\tMarried\n57697\tOther Credit\t98.82\t46\t2750\t19\tNeed\t10000\tArmy\tMaster's Degree\tSingle\n44791\tOther Credit\t98.82\t48\t2150\t7\tHousing\t10000\tTechnician\tMaster's Degree\tMarried\n56682\tOther Credit\t98.82\t33\t500\t15\tNeed\t25000\tArmy\tPrimary School Grad\tSingle\n70585\tOther Credit\t98.82\t52\t2150\t10\tEducation\t20000\tProfessional\tMaster's Degree\tMarried\n55196\tOther Credit\t98.82\t39\t2750\t10\tHousing\t75000\tWorker\tBachelor's Degree\tSingle\n87284\tOther Credit\t98.82\t29\t2150\t7\tEducation\t15000\tTechnician\tBachelor's Degree\tDivorced\n83706\tOther Credit\t98.82\t63\t2150\t30\tAuto\t25000\tManager\tBachelor's Degree\tMarried\n30402\tOther Credit\t98.82\t65\t2750\t2\tHousing\t95000\tFarmer\tBachelor's Degree\tMarried\n49462\tOther Credit\t98.82\t51\t3750\t9\tNeed\t15000\tWorker\tMaster's Degree\tDivorced\n45032\tOther Credit\t98.82\t37\t500\t52\tHousing\t25000\tWorker\tPrimary School Grad\tMarried\n39305\tOther Credit\t98.82\t67\t3750\t37\tHousing\t25000\tClerical\tMaster's Degree\tDivorced\n86629\tOther Credit\t98.82\t31\t500\t33\tNeed\t30000\tArmy\tPrimary School Grad\tMarried\n8265\tOther Credit\t98.82\t26\t500\t19\tNeed\t30000\tFarmer\tPrimary School Grad\tSingle\n2770\tOther Credit\t98.82\t68\t2150\t3\tHousing\t15000\tFarmer\tBachelor's Degree\tMarried\n81459\tOther Credit\t98.82\t58\t2150\t2\tNeed\t10000\tArmy\tBachelor's Degree\tMarried\n14674\tOther Credit\t98.82\t41\t2150\t58\tNeed\t25000\tManager\tMaster's Degree\tMarried\n31284\tOther Credit\t98.82\t70\t2750\t7\tHousing\t60000\tWorker\tBachelor's Degree\tSingle\n50142\tOther Credit\t98.82\t62\t500\t2\tNeed\t30000\tFarmer\tPrimary School Grad\tMarried\n11408\tOther Credit\t98.82\t56\t2750\t65\tNeed\t20000\tTechnician\tMaster's Degree\tDivorced\n83644\tOther Credit\t98.82\t63\t2150\t13\tHousing\t40000\tProfessional\tMaster's Degree\tMarried\n83799\tOther Credit\t98.82\t45\t500\t18\tHousing\t40000\tWorker\tPrimary School Grad\tSingle\n81362\tOther Credit\t98.82\t39\t2150\t1\tHousing\t55000\tArmy\tMaster's Degree\tMarried\n16590\tOther Credit\t98.82\t56\t2750\t8\tAuto\t35000\tTechnician\tMaster's Degree\tMarried\n31162\tOther Credit\t98.82\t57\t2750\t29\tNeed\t10000\tWorker\tBachelor's Degree\tMarried\n75114\tOther Credit\t98.82\t50\t2750\t16\tEducation\t10000\tWorker\tMaster's Degree\tMarried\n3320\tOther Credit\t98.82\t31\t3750\t10\tHousing\t45000\tTechnician\tMaster's Degree\tSingle\n11798\tOther Credit\t98.82\t25\t2750\t29\tHousing\t75000\tTechnician\tMaster's Degree\tMarried\n45238\tOther Credit\t98.82\t49\t500\t9\tAuto\t35000\tFarmer\tPrimary School Grad\tMarried\n32904\tOther Credit\t98.82\t21\t2150\t2\tAuto\t20000\tWorker\tBachelor's Degree\tDivorced\n44989\tOther Credit\t98.82\t29\t2750\t34\tNeed\t25000\tFarmer\tMaster's Degree\tMarried\n7974\tOther Credit\t98.82\t59\t2150\t22\tNeed\t45000\tTechnician\tBachelor's Degree\t\n12174\tOther Credit\t98.82\t48\t2150\t78\tNeed\t45000\tProfessional\tBachelor's Degree\tMarried\n8442\tOther Credit\t98.82\t58\t2150\t5\tNeed\t30000\tArmy\tMaster's Degree\tSingle\n11944\tOther Credit\t98.82\t44\t\t9\tHousing\t50000\tWorker\tBachelor's Degree\tMarried\n20087\tOther Credit\t98.82\t45\t500\t66\tHousing\t10000\tWorker\tPrimary School Grad\tMarried\n63688\tOther Credit\t98.82\t47\t3750\t29\tNeed\t20000\tFarmer\tMaster's Degree\tSingle\n60911\tOther Credit\t98.82\t60\t2750\t35\tHousing\t100000\tArmy\tMaster's Degree\tDivorced\n88113\tOther Credit\t98.82\t38\t2150\t15\tNeed\t35000\tTechnician\tMaster's Degree\tMarried\n78233\tOther Credit\t98.82\t18\t2750\t12\tHousing\t40000\tWorker\tMaster's Degree\tMarried\n51364\tOther Credit\t98.82\t23\t500\t3\tHousing\t15000\tFarmer\tPrimary School Grad\tSingle\n31391\tOther Credit\t98.82\t45\t2750\t9\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n44310\tOther Credit\t98.82\t50\t2150\t2\tAuto\t30000\tWorker\tBachelor's Degree\tSingle\n26636\tOther Credit\t98.82\t44\t500\t25\tAuto\t55000\tClerical\tPrimary School Grad\tSingle\n93649\tOther Credit\t98.82\t59\t2750\t19\tNeed\t40000\tWorker\tMaster's Degree\tMarried\n24588\tOther Credit\t98.82\t20\t2150\t43\tNeed\t40000\tWorker\tBachelor's Degree\tSingle\n99106\tOther Credit\t98.82\t42\t2150\t15\tHousing\t60000\tWorker\tMaster's Degree\tSingle\n95779\tOther Credit\t98.82\t20\t2150\t6\tNeed\t35000\tArmy\tMaster's Degree\tMarried\n97062\tOther Credit\t98.82\t23\t2750\t17\tNeed\t45000\tWorker\tBachelor's Degree\tSingle\n38375\tOther Credit\t98.82\t64\t500\t8\tNeed\t10000\tManager\tPrimary School Grad\tMarried\n99735\tOther Credit\t98.82\t42\t2150\t13\tNeed\t15000\tFarmer\tMaster's Degree\tMarried\n11422\tOther Credit\t98.82\t27\t2150\t38\tEducation\t20000\tManager\tMaster's Degree\tMarried\n54086\tOther Credit\t98.82\t45\t2750\t7\tNeed\t30000\tTechnician\tMaster's Degree\tMarried\n48629\tOther Credit\t98.82\t38\t2150\t23\tHousing\t15000\tTechnician\tMaster's Degree\tSingle\n75162\tOther Credit\t98.82\t63\t2750\t3\tNeed\t20000\tArmy\tBachelor's Degree\tMarried\n38121\tOther Credit\t98.82\t18\t2750\t15\tAuto\t35000\tArmy\tMaster's Degree\tMarried\n4329\tOther Credit\t98.82\t22\t2150\t2\tHousing\t80000\tManager\tBachelor's Degree\tMarried\n62393\tOther Credit\t98.82\t54\t2750\t37\tNeed\t25000\tTechnician\tBachelor's Degree\tMarried\n25209\tOther Credit\t98.82\t36\t500\t25\tHousing\t90000\tFarmer\tPrimary School Grad\tMarried\n93886\tOther Credit\t98.82\t68\t500\t11\tNeed\t15000\tFarmer\tPrimary School Grad\tMarried\n88005\tOther Credit\t98.82\t63\t2750\t38\tHousing\t45000\tArmy\tBachelor's Degree\tDivorced\n33300\tOther Credit\t98.82\t70\t500\t28\tHousing\t40000\tTechnician\tPrimary School Grad\tSingle\n91401\tOther Credit\t98.82\t30\t2750\t4\tHousing\t15000\tManager\tMaster's Degree\tSingle\n59041\tOther Credit\t98.82\t65\t2150\t88\tHousing\t30000\tFarmer\tBachelor's Degree\tSingle\n13851\tOther Credit\t98.82\t42\t2750\t32\tNeed\t25000\tArmy\tBachelor's Degree\tMarried\n9779\tOther Credit\t98.82\t40\t2750\t14\tAuto\t15000\tProfessional\tBachelor's Degree\tMarried\n64768\tOther Credit\t98.82\t21\t2750\t47\tNeed\t20000\tWorker\tMaster's Degree\tMarried\n2774\tOther Credit\t98.82\t31\t2750\t53\tNeed\t15000\tFarmer\tBachelor's Degree\tMarried\n24433\tOther Credit\t98.82\t66\t500\t4\tEducation\t10000\tTechnician\tPrimary School Grad\tSingle\n9209\tOther Credit\t98.82\t36\t2150\t6\tHousing\t70000\tProfessional\tBachelor's Degree\tMarried\n93316\tOther Credit\t98.82\t36\t2150\t4\tHousing\t\tManager\tBachelor's Degree\tDivorced\n41400\tOther Credit\t98.82\t38\t500\t7\tHousing\t60000\tProfessional\tPrimary School Grad\tSingle\n73338\tOther Credit\t98.82\t31\t2750\t13\tHousing\t80000\tManager\tBachelor's Degree\tMarried\n47110\tOther Credit\t98.82\t24\t500\t39\tNeed\t40000\tTechnician\tPrimary School Grad\tMarried\n61158\tOther Credit\t98.82\t26\t3750\t27\tEducation\t15000\tFarmer\tMaster's Degree\tSingle\n22427\tGood Credit\t98.82\t38\t2150\t45\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n29534\tOther Credit\t98.82\t55\t2750\t61\tHousing\t100000\tTechnician\tBachelor's Degree\tSingle\n38434\tOther Credit\t98.82\t56\t2750\t17\tEducation\t10000\tWorker\tMaster's Degree\tDivorced\n769\tOther Credit\t98.82\t69\t2750\t15\tNeed\t30000\tProfessional\tMaster's Degree\tMarried\n26056\tOther Credit\t98.82\t61\t2150\t12\tHousing\t30000\tArmy\tBachelor's Degree\tMarried\n54151\tOther Credit\t98.82\t23\t500\t18\tNeed\t20000\tTechnician\tPrimary School Grad\tMarried\n64924\tOther Credit\t98.82\t62\t3750\t3\tAuto\t15000\tClerical\tMaster's Degree\tMarried\n69065\tOther Credit\t98.82\t54\t2750\t9\tAuto\t20000\tArmy\tMaster's Degree\tSingle\n41534\tOther Credit\t98.82\t29\t500\t27\tAuto\t35000\tManager\tPrimary School Grad\tMarried\n87430\tOther Credit\t98.82\t60\t3750\t65\tNeed\t20000\tWorker\t\tMarried\n69850\tOther Credit\t98.82\t25\t2750\t13\tHousing\t95000\tWorker\tBachelor's Degree\tMarried\n581\tOther Credit\t98.82\t53\t2750\t7\tNeed\t40000\tManager\tMaster's Degree\tSingle\n7717\tOther Credit\t98.82\t\t500\t24\tNeed\t20000\tClerical\tPrimary School Grad\tMarried\n85641\tOther Credit\t98.82\t54\t2750\t12\tEducation\t20000\tArmy\tMaster's Degree\tSingle\n9305\tOther Credit\t98.82\t54\t2150\t1\tEducation\t20000\tFarmer\tBachelor's Degree\tMarried\n85602\tOther Credit\t98.82\t21\t3750\t7\tHousing\t40000\tWorker\tMaster's Degree\tDivorced\n82026\tOther Credit\t98.82\t33\t2150\t5\tNeed\t30000\tArmy\tMaster's Degree\tMarried\n30555\tOther Credit\t98.82\t54\t2750\t10\tHousing\t55000\tArmy\tMaster's Degree\tMarried\n42432\tOther Credit\t98.82\t35\t500\t86\tHousing\t90000\tArmy\tPrimary School Grad\tDivorced\n65232\tOther Credit\t98.82\t62\t500\t25\tNeed\t35000\tProfessional\tPrimary School Grad\tSingle\n75504\tOther Credit\t98.82\t37\t2750\t4\tNeed\t35000\tTechnician\t\tMarried\n27372\tOther Credit\t98.82\t42\t3750\t22\tNeed\t30000\tManager\tMaster's Degree\tSingle\n80440\tOther Credit\t98.82\t45\t2150\t15\tAuto\t50000\tArmy\tBachelor's Degree\tMarried\n13365\tOther Credit\t98.82\t52\t2750\t7\tAuto\t25000\tArmy\tBachelor's Degree\tSingle\n27764\tOther Credit\t98.82\t40\t2750\t17\tNeed\t10000\tFarmer\tBachelor's Degree\tMarried\n72630\tOther Credit\t98.82\t18\t2150\t14\tNeed\t40000\tArmy\tMaster's Degree\tMarried\n85825\tGood Credit\t98.82\t46\t2750\t24\tNeed\t10000\tTechnician\tBachelor's Degree\tDivorced\n31900\tOther Credit\t98.82\t56\t2750\t13\tHousing\t100000\t\tBachelor's Degree\tMarried\n71085\tOther Credit\t98.82\t53\t2750\t14\tNeed\t20000\tTechnician\tMaster's Degree\tSingle\n56482\tOther Credit\t98.82\t55\t2750\t2\tEducation\t15000\tTechnician\tMaster's Degree\tMarried\n38900\tOther Credit\t98.82\t56\t2750\t25\tAuto\t40000\tArmy\tBachelor's Degree\tMarried\n59336\tOther Credit\t98.82\t66\t2150\t13\tHousing\t85000\tProfessional\tMaster's Degree\tMarried\n20356\tOther Credit\t98.82\t44\t2750\t5\tEducation\t20000\tTechnician\tMaster's Degree\tMarried\n79679\tOther Credit\t98.82\t21\t2750\t9\tHousing\t20000\tArmy\tBachelor's Degree\tMarried\n63454\tOther Credit\t98.82\t34\t2150\t70\tNeed\t25000\tManager\tMaster's Degree\tSingle\n42329\tOther Credit\t98.82\t27\t2750\t6\tHousing\t45000\tClerical\tMaster's Degree\tSingle\n74618\tOther Credit\t98.82\t32\t2150\t10\tNeed\t35000\tWorker\tBachelor's Degree\tMarried\n98469\tOther Credit\t98.82\t19\t2750\t8\tNeed\t30000\tTechnician\tBachelor's Degree\tMarried\n31961\tOther Credit\t98.82\t71\t3750\t20\tNeed\t10000\tManager\tMaster's Degree\tMarried\n73979\tOther Credit\t98.82\t65\t2750\t16\tEducation\t20000\tClerical\tBachelor's Degree\tMarried\n63466\tOther Credit\t98.82\t45\t2150\t4\tNeed\t15000\tArmy\tBachelor's Degree\tMarried\n40301\tOther Credit\t98.82\t71\t500\t20\tNeed\t40000\tTechnician\tPrimary School Grad\tMarried\n35873\tOther Credit\t98.82\t65\t2750\t33\tAuto\t35000\tArmy\tBachelor's Degree\tMarried\n36538\tOther Credit\t98.82\t39\t2150\t7\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n94022\tOther Credit\t98.82\t42\t2150\t85\tEducation\t20000\tClerical\tMaster's Degree\tMarried\n27831\tOther Credit\t98.82\t56\t3750\t71\tNeed\t25000\tClerical\tMaster's Degree\tMarried\n76929\tOther Credit\t98.82\t36\t500\t31\tHousing\t15000\tManager\tPrimary School Grad\tSingle\n17138\tOther Credit\t98.82\t54\t2750\t15\tHousing\t95000\tProfessional\tMaster's Degree\tMarried\n99285\tOther Credit\t98.82\t52\t3750\t92\tAuto\t40000\tManager\tMaster's Degree\tMarried\n34216\tOther Credit\t98.82\t70\t500\t18\tAuto\t20000\tClerical\tPrimary School Grad\tMarried\n32670\tOther Credit\t98.82\t39\t500\t8\tAuto\t45000\tProfessional\tPrimary School Grad\tSingle\n41247\tOther Credit\t98.82\t25\t2150\t18\tHousing\t\tClerical\tBachelor's Degree\tMarried\n28123\tOther Credit\t98.82\t33\t3750\t34\tNeed\t45000\tProfessional\tMaster's Degree\t\n97860\tOther Credit\t98.82\t57\t2750\t15\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n95467\tOther Credit\t98.82\t39\t2150\t22\tHousing\t85000\tClerical\tBachelor's Degree\tMarried\n62562\tOther Credit\t98.82\t34\t500\t8\tNeed\t15000\tArmy\tPrimary School Grad\tSingle\n19740\tOther Credit\t98.82\t63\t3750\t9\tHousing\t95000\tTechnician\tMaster's Degree\tMarried\n10193\tOther Credit\t98.82\t65\t2150\t9\tAuto\t50000\tClerical\tMaster's Degree\tDivorced\n29110\tOther Credit\t98.82\t54\t2150\t35\tNeed\t40000\tClerical\tBachelor's Degree\tMarried\n28192\tOther Credit\t98.82\t35\t2750\t3\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n20134\tOther Credit\t98.82\t27\t2750\t9\tEducation\t10000\tProfessional\tMaster's Degree\tSingle\n14348\tOther Credit\t98.82\t22\t2150\t35\tAuto\t35000\tProfessional\tMaster's Degree\tMarried\n92249\tOther Credit\t98.82\t51\t2750\t10\tNeed\t45000\tWorker\tBachelor's Degree\tMarried\n93849\tOther Credit\t98.82\t35\t2150\t4\tEducation\t15000\tArmy\tBachelor's Degree\tMarried\n89187\tOther Credit\t98.82\t55\t2750\t89\tHousing\t85000\tClerical\tBachelor's Degree\tSingle\n76848\tOther Credit\t98.82\t40\t2150\t85\tNeed\t20000\tClerical\tBachelor's Degree\tMarried\n50397\tOther Credit\t98.82\t44\t2750\t11\tNeed\t40000\tWorker\tBachelor's Degree\tMarried\n28614\tOther Credit\t98.82\t58\t2750\t5\tEducation\t20000\tProfessional\tMaster's Degree\tMarried\n71487\tOther Credit\t98.82\t42\t500\t38\tNeed\t35000\tFarmer\tPrimary School Grad\tMarried\n28952\tOther Credit\t98.82\t58\t2150\t9\tNeed\t35000\tArmy\tMaster's Degree\tSingle\n29929\tOther Credit\t98.82\t63\t2750\t9\tNeed\t35000\tFarmer\tBachelor's Degree\tMarried\n46971\tOther Credit\t98.82\t\t2750\t4\tNeed\t15000\tManager\tBachelor's Degree\tDivorced\n98252\tOther Credit\t98.82\t25\t2750\t82\tAuto\t25000\tTechnician\tMaster's Degree\tMarried\n26695\tOther Credit\t98.82\t51\t2750\t15\tNeed\t35000\tTechnician\tBachelor's Degree\tMarried\n94036\tOther Credit\t98.82\t59\t500\t1\tHousing\t30000\tFarmer\tPrimary School Grad\tMarried\n18970\tOther Credit\t98.82\t20\t2750\t7\tHousing\t95000\tTechnician\tMaster's Degree\tMarried\n10442\tOther Credit\t98.82\t70\t500\t\tNeed\t20000\tFarmer\tPrimary School Grad\tMarried\n59259\tOther Credit\t98.82\t68\t3750\t9\tHousing\t55000\tWorker\tMaster's Degree\tMarried\n98299\tOther Credit\t98.82\t67\t2150\t5\tNeed\t30000\tClerical\tBachelor's Degree\tSingle\n7371\tOther Credit\t98.82\t33\t2150\t2\tHousing\t95000\tClerical\t\tMarried\n11368\tGood Credit\t98.82\t36\t3750\t24\tNeed\t25000\tProfessional\tMaster's Degree\tMarried\n96625\tOther Credit\t98.82\t43\t2750\t10\tNeed\t40000\tWorker\tMaster's Degree\tMarried\n54834\tOther Credit\t98.82\t46\t2750\t14\tNeed\t35000\tClerical\tBachelor's Degree\tMarried\n57950\tOther Credit\t98.82\t23\t2750\t39\tHousing\t65000\tTechnician\tBachelor's Degree\tMarried\n56243\tOther Credit\t98.82\t37\t500\t30\tNeed\t30000\tProfessional\tPrimary School Grad\t\n12103\tOther Credit\t98.82\t35\t2750\t8\tHousing\t70000\tManager\tBachelor's Degree\tMarried\n58549\tOther Credit\t98.82\t18\t2750\t8\tAuto\t10000\tTechnician\tMaster's Degree\tSingle\n22298\tOther Credit\t98.82\t45\t2750\t11\tHousing\t100000\tManager\tBachelor's Degree\tMarried\n6077\tOther Credit\t98.82\t61\t2150\t12\tEducation\t10000\tClerical\tBachelor's Degree\tMarried\n2870\tOther Credit\t98.82\t45\t2750\t19\tHousing\t95000\tWorker\tMaster's Degree\tMarried\n22867\tOther Credit\t98.82\t30\t500\t20\tNeed\t20000\tTechnician\tPrimary School Grad\tMarried\n35493\tOther Credit\t98.82\t50\t2750\t12\tAuto\t50000\t\tMaster's Degree\tMarried\n79351\tOther Credit\t98.82\t33\t2750\t12\tHousing\t40000\tFarmer\tMaster's Degree\tSingle\n64302\tOther Credit\t98.82\t44\t500\t19\tAuto\t50000\tFarmer\tPrimary School Grad\tMarried\n22068\tOther Credit\t98.82\t56\t2150\t5\tNeed\t40000\tClerical\tBachelor's Degree\tMarried\n64264\tOther Credit\t98.82\t59\t2150\t21\tHousing\t30000\tTechnician\tMaster's Degree\tMarried\n94220\tOther Credit\t98.82\t28\t2750\t22\tNeed\t35000\tArmy\tMaster's Degree\tSingle\n67608\tOther Credit\t98.82\t64\t2150\t16\tEducation\t15000\tFarmer\tBachelor's Degree\tSingle\n60216\tOther Credit\t98.82\t23\t2750\t11\tNeed\t35000\tClerical\tBachelor's Degree\tMarried\n68618\tOther Credit\t98.82\t30\t2150\t11\tHousing\t35000\tProfessional\tBachelor's Degree\tMarried\n45639\tOther Credit\t98.82\t71\t2750\t10\tHousing\t20000\tFarmer\tMaster's Degree\tMarried\n17977\tOther Credit\t98.82\t54\t2750\t32\tEducation\t10000\tProfessional\tBachelor's Degree\tDivorced\n87785\tOther Credit\t98.82\t37\t500\t15\tNeed\t40000\tManager\tPrimary School Grad\tSingle\n64537\tOther Credit\t98.82\t47\t3750\t6\tNeed\t15000\tWorker\tMaster's Degree\tMarried\n19041\tOther Credit\t98.82\t21\t2150\t19\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n45676\tOther Credit\t98.82\t66\t2750\t53\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n424\tOther Credit\t98.82\t52\t3750\t8\tAuto\t15000\tArmy\tMaster's Degree\tMarried\n48778\tOther Credit\t98.82\t52\t500\t8\tNeed\t10000\tClerical\tPrimary School Grad\tMarried\n7604\tOther Credit\t98.82\t43\t2750\t37\tHousing\t50000\tArmy\tBachelor's Degree\tSingle\n24877\tOther Credit\t98.82\t28\t2750\t15\tNeed\t25000\tProfessional\tMaster's Degree\tMarried\n70925\tOther Credit\t98.82\t35\t2150\t4\tHousing\t10000\tWorker\tBachelor's Degree\tMarried\n57002\tOther Credit\t98.82\t\t2750\t5\tAuto\t10000\tClerical\tBachelor's Degree\tSingle\n84283\tOther Credit\t98.82\t27\t2150\t86\tNeed\t\tTechnician\tMaster's Degree\tMarried\n86600\tOther Credit\t98.82\t54\t2750\t15\tNeed\t35000\tManager\tBachelor's Degree\tDivorced\n55452\tOther Credit\t98.82\t64\t2750\t8\tHousing\t25000\tProfessional\tBachelor's Degree\tMarried\n71224\tOther Credit\t98.82\t50\t500\t13\tAuto\t10000\tWorker\tPrimary School Grad\tMarried\n99470\tOther Credit\t98.82\t26\t2150\t18\tNeed\t10000\tClerical\tBachelor's Degree\tMarried\n69847\tOther Credit\t98.82\t50\t500\t29\tHousing\t60000\tTechnician\tPrimary School Grad\tMarried\n46993\tOther Credit\t98.82\t39\t2750\t6\tHousing\t70000\tWorker\tMaster's Degree\tMarried\n445\tOther Credit\t98.82\t32\t2150\t17\tHousing\t25000\tManager\tMaster's Degree\tMarried\n77874\tOther Credit\t98.82\t58\t2150\t25\tAuto\t20000\tManager\tMaster's Degree\tSingle\n63857\tOther Credit\t98.82\t58\t2150\t30\tNeed\t15000\tFarmer\tBachelor's Degree\tMarried\n48703\tOther Credit\t98.82\t34\t2750\t25\tAuto\t10000\tManager\tMaster's Degree\tSingle\n40224\tOther Credit\t98.82\t30\t2750\t12\tHousing\t100000\tTechnician\tBachelor's Degree\tMarried\n38195\tOther Credit\t98.82\t36\t2150\t2\tAuto\t30000\tWorker\tMaster's Degree\tMarried\n40305\tGood Credit\t98.82\t45\t2750\t9\tHousing\t25000\tTechnician\tBachelor's Degree\tMarried\n95900\tOther Credit\t98.82\t63\t2750\t20\tEducation\t20000\tClerical\tBachelor's Degree\tSingle\n71924\tOther Credit\t98.82\t24\t2150\t12\tEducation\t15000\tClerical\tBachelor's Degree\tMarried\n1641\tOther Credit\t98.82\t27\t2150\t1\tEducation\t20000\tProfessional\tBachelor's Degree\tMarried\n33274\tOther Credit\t98.82\t23\t2150\t34\tHousing\t25000\tWorker\tBachelor's Degree\tMarried\n93516\tOther Credit\t98.82\t27\t2750\t20\tNeed\t20000\tProfessional\tBachelor's Degree\tDivorced\n22477\tOther Credit\t98.82\t29\t3750\t32\tAuto\t55000\tWorker\t\tMarried\n55022\tOther Credit\t98.82\t18\t2150\t4\tHousing\t105000\tManager\tBachelor's Degree\tMarried\n94661\tOther Credit\t98.82\t23\t2750\t13\tNeed\t45000\tClerical\tBachelor's Degree\tDivorced\n79727\tOther Credit\t98.82\t30\t2750\t6\tHousing\t15000\tManager\tBachelor's Degree\tSingle\n39333\tOther Credit\t98.82\t35\t500\t14\tNeed\t30000\tProfessional\tPrimary School Grad\tMarried\n25913\tOther Credit\t98.82\t58\t2150\t14\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n69405\tOther Credit\t98.82\t24\t2150\t8\tHousing\t15000\t\tBachelor's Degree\tMarried\n9513\tOther Credit\t98.82\t41\t2150\t14\tAuto\t35000\tManager\tBachelor's Degree\tSingle\n48771\tOther Credit\t98.82\t36\t2750\t13\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n92014\tOther Credit\t98.82\t20\t2750\t15\tNeed\t25000\tManager\tMaster's Degree\tSingle\n76324\tOther Credit\t98.82\t67\t2150\t15\tNeed\t40000\tWorker\tMaster's Degree\tMarried\n66188\tOther Credit\t98.82\t25\t500\t33\tNeed\t35000\tProfessional\tPrimary School Grad\tMarried\n68380\tOther Credit\t98.82\t54\t2750\t18\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n43678\tOther Credit\t98.82\t23\t3750\t12\tEducation\t10000\t\tMaster's Degree\tMarried\n97373\tOther Credit\t98.82\t52\t\t12\tAuto\t55000\tFarmer\tPrimary School Grad\tMarried\n35808\tOther Credit\t98.82\t45\t2150\t2\tNeed\t25000\tWorker\tBachelor's Degree\tMarried\n97653\tOther Credit\t98.82\t71\t2150\t15\tNeed\t30000\tWorker\tMaster's Degree\tMarried\n12395\tOther Credit\t98.82\t55\t500\t32\tNeed\t35000\tFarmer\tPrimary School Grad\tSingle\n34383\tOther Credit\t98.82\t33\t500\t29\tNeed\t10000\tClerical\tPrimary School Grad\tSingle\n63669\tOther Credit\t98.82\t22\t2150\t13\tNeed\t45000\tProfessional\tMaster's Degree\tMarried\n31682\tOther Credit\t98.82\t29\t2750\t24\tHousing\t45000\tTechnician\tBachelor's Degree\tMarried\n5710\tOther Credit\t98.82\t19\t2750\t35\tNeed\t45000\tClerical\tMaster's Degree\tMarried\n40160\tOther Credit\t98.82\t70\t2150\t7\tNeed\t35000\tArmy\tBachelor's Degree\tMarried\n40054\tOther Credit\t98.82\t21\t2150\t7\tHousing\t75000\tArmy\tBachelor's Degree\tMarried\n43098\tOther Credit\t98.82\t55\t2750\t5\tNeed\t25000\tArmy\t\tMarried\n64288\tOther Credit\t98.82\t71\t2750\t85\tNeed\t10000\tWorker\t\tMarried\n95832\tOther Credit\t98.82\t32\t2750\t1\tAuto\t35000\tArmy\tMaster's Degree\tMarried\n45115\tOther Credit\t98.82\t56\t2750\t8\tHousing\t55000\tArmy\tBachelor's Degree\tSingle\n35963\tOther Credit\t98.82\t45\t500\t40\tAuto\t25000\tTechnician\tPrimary School Grad\tMarried\n57443\tOther Credit\t98.82\t45\t2150\t16\tAuto\t15000\tFarmer\tMaster's Degree\tMarried\n76383\tOther Credit\t98.82\t22\t2750\t21\tNeed\t25000\tFarmer\tBachelor's Degree\tMarried\n62188\tOther Credit\t98.82\t45\t500\t9\tHousing\t70000\tTechnician\tPrimary School Grad\tMarried\n73594\tOther Credit\t98.82\t55\t2150\t5\tHousing\t50000\tClerical\tBachelor's Degree\tDivorced\n24181\tOther Credit\t98.82\t24\t3750\t13\tHousing\t75000\tArmy\tMaster's Degree\tMarried\n90488\tOther Credit\t98.82\t36\t2750\t1\tNeed\t35000\tProfessional\tMaster's Degree\tMarried\n93075\tOther Credit\t98.82\t22\t500\t26\tNeed\t30000\tManager\tPrimary School Grad\tSingle\n58646\tOther Credit\t98.82\t45\t2750\t6\tNeed\t40000\tProfessional\tMaster's Degree\tMarried\n68128\tOther Credit\t98.82\t56\t2750\t1\tAuto\t10000\tArmy\tBachelor's Degree\tMarried\n62170\tGood Credit\t98.82\t27\t2750\t48\tNeed\t15000\tArmy\tBachelor's Degree\tMarried\n26045\tOther Credit\t98.82\t55\t2750\t19\tNeed\t30000\tFarmer\tMaster's Degree\tSingle\n55083\tOther Credit\t98.82\t27\t2750\t14\tHousing\t105000\tClerical\tBachelor's Degree\tMarried\n10470\tOther Credit\t98.82\t60\t2750\t29\tHousing\t15000\tManager\tBachelor's Degree\tDivorced\n37686\tOther Credit\t98.82\t35\t2750\t39\tAuto\t10000\tManager\tMaster's Degree\tSingle\n15838\tOther Credit\t98.82\t18\t2150\t1\tAuto\t20000\tWorker\tBachelor's Degree\tMarried\n40638\tOther Credit\t98.82\t63\t2750\t36\tHousing\t65000\tFarmer\tMaster's Degree\tMarried\n34814\tOther Credit\t98.82\t19\t2750\t32\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n90171\tOther Credit\t98.82\t56\t2750\t10\tNeed\t25000\tClerical\tMaster's Degree\tMarried\n59832\tOther Credit\t98.82\t35\t2750\t39\tNeed\t10000\tClerical\tMaster's Degree\tSingle\n88649\tOther Credit\t98.82\t64\t3750\t57\tNeed\t10000\tClerical\tMaster's Degree\tDivorced\n80968\tOther Credit\t98.82\t44\t3750\t34\tNeed\t30000\tFarmer\tMaster's Degree\tMarried\n96701\tOther Credit\t98.82\t42\t3750\t10\tNeed\t20000\tArmy\tMaster's Degree\tDivorced\n31085\tOther Credit\t98.82\t54\t2750\t11\tHousing\t90000\tManager\tBachelor's Degree\tDivorced\n66253\tOther Credit\t98.82\t52\t2750\t81\tHousing\t100000\tWorker\tMaster's Degree\tSingle\n46290\tGood Credit\t98.82\t35\t3750\t81\tNeed\t15000\tTechnician\tMaster's Degree\tDivorced\n62116\tOther Credit\t98.82\t56\t2750\t10\tHousing\t65000\tManager\tMaster's Degree\tMarried\n89333\tOther Credit\t98.82\t48\t2150\t39\tNeed\t25000\tArmy\tBachelor's Degree\tDivorced\n40942\tOther Credit\t98.82\t56\t2750\t12\tAuto\t50000\tFarmer\tBachelor's Degree\tMarried\n44880\tOther Credit\t98.82\t27\t2750\t33\tHousing\t70000\tArmy\tMaster's Degree\tMarried\n16748\tOther Credit\t98.82\t58\t3750\t4\tNeed\t30000\tWorker\tMaster's Degree\tMarried\n29055\tOther Credit\t98.82\t58\t2750\t11\tNeed\t10000\tTechnician\tMaster's Degree\tMarried\n75688\tOther Credit\t98.82\t65\t2750\t93\tEducation\t20000\tWorker\tBachelor's Degree\tSingle\n66063\tOther Credit\t98.82\t18\t2750\t20\tNeed\t25000\tManager\tMaster's Degree\tMarried\n47510\tOther Credit\t98.82\t18\t2750\t14\tAuto\t10000\tWorker\tMaster's Degree\tMarried\n65128\tOther Credit\t98.82\t28\t2750\t16\tHousing\t25000\tTechnician\tMaster's Degree\tMarried\n1466\tOther Credit\t98.82\t66\t2150\t39\tEducation\t20000\tClerical\tMaster's Degree\tDivorced\n16624\tOther Credit\t98.82\t70\t3750\t5\tAuto\t10000\tWorker\tMaster's Degree\tSingle\n32807\tOther Credit\t98.82\t36\t2150\t32\tNeed\t40000\tArmy\tMaster's Degree\tMarried\n97109\tOther Credit\t98.82\t18\t3750\t7\tHousing\t15000\tClerical\tMaster's Degree\tMarried\n86976\tOther Credit\t98.82\t40\t2750\t4\t\t10000\tFarmer\tMaster's Degree\tMarried\n59862\tOther Credit\t98.82\t62\t2750\t35\tNeed\t20000\tFarmer\tBachelor's Degree\tSingle\n91859\tOther Credit\t98.82\t28\t2750\t71\tNeed\t40000\tTechnician\tBachelor's Degree\tMarried\n49232\tOther Credit\t98.82\t63\t500\t15\tHousing\t50000\tArmy\tPrimary School Grad\tDivorced\n27034\tOther Credit\t98.82\t22\t500\t32\tHousing\t80000\tFarmer\tPrimary School Grad\tSingle\n55899\tOther Credit\t98.82\t54\t2150\t5\tAuto\t35000\tProfessional\tBachelor's Degree\tSingle\n72218\tOther Credit\t98.82\t33\t2750\t9\tHousing\t70000\tTechnician\tMaster's Degree\tSingle\n14631\tOther Credit\t98.82\t33\t2750\t7\tNeed\t10000\tManager\tMaster's Degree\tMarried\n29365\tOther Credit\t98.82\t28\t2150\t34\tAuto\t40000\tTechnician\tBachelor's Degree\tMarried\n76508\tOther Credit\t98.82\t23\t2750\t7\tNeed\t35000\tFarmer\tBachelor's Degree\tDivorced\n85979\tOther Credit\t98.82\t24\t2150\t37\tEducation\t10000\tTechnician\tBachelor's Degree\tDivorced\n1135\tOther Credit\t98.82\t46\t2150\t4\tHousing\t35000\tProfessional\tMaster's Degree\tMarried\n85129\tOther Credit\t98.82\t22\t500\t12\tAuto\t20000\tArmy\tPrimary School Grad\tMarried\n23655\tOther Credit\t98.82\t56\t500\t4\tNeed\t15000\tClerical\tPrimary School Grad\tMarried\n65117\tOther Credit\t98.82\t27\t2750\t9\tHousing\t90000\tManager\tBachelor's Degree\tMarried\n38112\tOther Credit\t98.82\t50\t2150\t22\tHousing\t15000\tTechnician\tBachelor's Degree\tDivorced\n89561\tOther Credit\t98.82\t18\t500\t28\tNeed\t45000\tManager\tPrimary School Grad\tMarried\n21383\tOther Credit\t98.82\t27\t2150\t10\tNeed\t\tProfessional\tMaster's Degree\tSingle\n52039\tOther Credit\t98.82\t61\t2750\t10\tEducation\t15000\tArmy\t\tDivorced\n10515\tOther Credit\t98.82\t65\t2150\t17\tNeed\t40000\tWorker\tBachelor's Degree\tMarried\n92036\tOther Credit\t98.82\t61\t500\t13\tHousing\t50000\tManager\tPrimary School Grad\tMarried\n28188\tOther Credit\t98.82\t33\t500\t3\tNeed\t45000\tManager\tPrimary School Grad\tSingle\n88047\tOther Credit\t98.82\t36\t2150\t5\tNeed\t30000\tArmy\tBachelor's Degree\tSingle\n51101\tOther Credit\t98.82\t\t2750\t13\tAuto\t10000\tArmy\tMaster's Degree\tMarried\n98256\tOther Credit\t98.82\t49\t2150\t64\tHousing\t45000\tFarmer\tMaster's Degree\tSingle\n97671\tOther Credit\t98.82\t39\t2750\t31\tAuto\t35000\tClerical\tMaster's Degree\tMarried\n27349\tOther Credit\t98.82\t39\t2750\t36\tEducation\t20000\tTechnician\tMaster's Degree\tSingle\n58975\tOther Credit\t98.82\t38\t500\t35\tNeed\t20000\tFarmer\tPrimary School Grad\tMarried\n3479\tOther Credit\t98.82\t44\t2750\t\tAuto\t40000\tArmy\tBachelor's Degree\tMarried\n13116\tOther Credit\t98.82\t33\t2750\t6\tHousing\t60000\tArmy\tBachelor's Degree\tMarried\n27633\tOther Credit\t98.82\t44\t500\t6\tNeed\t25000\tClerical\tPrimary School Grad\tSingle\n97076\tOther Credit\t98.82\t54\t2150\t3\tEducation\t10000\tClerical\tBachelor's Degree\tSingle\n56014\tOther Credit\t98.82\t19\t500\t33\tHousing\t55000\tTechnician\tPrimary School Grad\tMarried\n6662\tOther Credit\t98.82\t62\t2150\t4\tEducation\t10000\tClerical\tMaster's Degree\tMarried\n40201\tOther Credit\t98.82\t22\t2150\t4\tNeed\t45000\tFarmer\tMaster's Degree\tSingle\n41744\tOther Credit\t98.82\t32\t2750\t77\tAuto\t55000\tTechnician\tBachelor's Degree\tSingle\n97499\tOther Credit\t98.82\t63\t2750\t12\tNeed\t25000\tClerical\tMaster's Degree\tMarried\n20314\tOther Credit\t98.82\t69\t2750\t45\tNeed\t25000\tTechnician\tBachelor's Degree\tMarried\n126\tOther Credit\t98.82\t25\t2750\t55\tEducation\t20000\tFarmer\tBachelor's Degree\tSingle\n20210\tOther Credit\t98.82\t38\t2150\t14\tHousing\t85000\tWorker\tBachelor's Degree\tMarried\n56534\tOther Credit\t98.82\t23\t2750\t1\tAuto\t50000\tWorker\tMaster's Degree\tMarried\n30506\tOther Credit\t98.82\t61\t500\t2\tEducation\t10000\tArmy\tPrimary School Grad\tSingle\n6629\tOther Credit\t98.82\t59\t2750\t39\tHousing\t10000\t\tMaster's Degree\tMarried\n92156\tOther Credit\t98.82\t36\t2750\t84\tAuto\t30000\tArmy\tMaster's Degree\tSingle\n36601\tOther Credit\t98.82\t47\t2750\t21\tAuto\t45000\tWorker\tMaster's Degree\tMarried\n35794\tOther Credit\t98.82\t24\t2750\t37\tHousing\t75000\tWorker\tBachelor's Degree\tSingle\n54753\tOther Credit\t98.82\t63\t500\t32\tAuto\t20000\tManager\tPrimary School Grad\tSingle\n92595\tOther Credit\t98.82\t48\t2150\t2\tAuto\t40000\tClerical\tMaster's Degree\tMarried\n64339\tOther Credit\t98.82\t65\t3750\t1\tNeed\t10000\tArmy\tMaster's Degree\tMarried\n49474\tOther Credit\t98.82\t30\t2150\t19\tHousing\t30000\tFarmer\tMaster's Degree\tSingle\n70519\tOther Credit\t98.82\t56\t2750\t92\tNeed\t25000\tManager\tMaster's Degree\tSingle\n49480\tOther Credit\t98.82\t47\t2750\t3\tAuto\t15000\tClerical\tBachelor's Degree\tSingle\n46444\tOther Credit\t98.82\t55\t2750\t6\tNeed\t25000\tProfessional\tMaster's Degree\tMarried\n84968\tOther Credit\t98.82\t62\t500\t\tNeed\t35000\tFarmer\tPrimary School Grad\tMarried\n84460\tOther Credit\t98.82\t18\t2750\t32\tNeed\t30000\tArmy\tBachelor's Degree\tMarried\n46796\tOther Credit\t98.82\t71\t2150\t17\tNeed\t40000\tClerical\t\tSingle\n24616\tOther Credit\t98.82\t53\t500\t30\tAuto\t15000\tManager\tPrimary School Grad\tMarried\n91210\tOther Credit\t98.82\t59\t2150\t3\tHousing\t25000\tArmy\tBachelor's Degree\tDivorced\n36726\tOther Credit\t98.82\t45\t2750\t\tHousing\t95000\tManager\tBachelor's Degree\tMarried\n13317\tOther Credit\t98.82\t39\t3750\t13\tEducation\t15000\tArmy\tMaster's Degree\tSingle\n76156\tOther Credit\t98.82\t54\t2750\t4\tAuto\t30000\tTechnician\tMaster's Degree\tMarried\n78471\tOther Credit\t98.82\t32\t2750\t74\tAuto\t30000\tFarmer\tBachelor's Degree\tSingle\n25668\tOther Credit\t98.82\t37\t2750\t34\tAuto\t15000\tFarmer\tBachelor's Degree\tSingle\n66905\tOther Credit\t98.82\t60\t2150\t14\tHousing\t30000\tManager\tMaster's Degree\tMarried\n85222\tOther Credit\t98.82\t47\t2150\t1\tHousing\t55000\tProfessional\tBachelor's Degree\tSingle\n90106\tOther Credit\t98.82\t45\t500\t4\tAuto\t40000\tArmy\tPrimary School Grad\tSingle\n86289\tOther Credit\t98.82\t58\t3750\t38\tAuto\t40000\tClerical\tMaster's Degree\tMarried\n54011\tOther Credit\t98.82\t29\t2750\t36\tAuto\t40000\tClerical\tBachelor's Degree\tMarried\n47419\tOther Credit\t98.82\t20\t2750\t7\tHousing\t60000\tProfessional\tMaster's Degree\tSingle\n56364\tOther Credit\t98.82\t58\t2750\t3\tNeed\t25000\tArmy\tMaster's Degree\tSingle\n1087\tOther Credit\t98.82\t47\t2750\t4\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n76113\tOther Credit\t98.82\t41\t2750\t4\tNeed\t15000\tWorker\tBachelor's Degree\tMarried\n45274\tOther Credit\t98.82\t64\t2750\t7\tHousing\t15000\tTechnician\tMaster's Degree\tMarried\n61763\tOther Credit\t98.82\t23\t2150\t4\tNeed\t15000\tWorker\tMaster's Degree\tMarried\n66643\tOther Credit\t98.82\t56\t500\t4\tAuto\t35000\tWorker\tPrimary School Grad\tMarried\n38614\tOther Credit\t98.82\t\t2750\t12\tNeed\t40000\tManager\tMaster's Degree\tSingle\n37780\tOther Credit\t98.82\t62\t2150\t30\tEducation\t20000\tClerical\tBachelor's Degree\tSingle\n50032\tOther Credit\t98.82\t55\t500\t2\tNeed\t15000\tFarmer\tPrimary School Grad\tDivorced\n60370\tOther Credit\t98.82\t33\t500\t14\tNeed\t10000\tProfessional\tPrimary School Grad\tMarried\n90579\tOther Credit\t98.82\t45\t2750\t11\tNeed\t45000\tFarmer\tBachelor's Degree\tMarried\n78384\tOther Credit\t98.82\t27\t2750\t29\tNeed\t10000\tTechnician\tMaster's Degree\tMarried\n8722\tOther Credit\t98.82\t36\t2150\t3\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n88686\tOther Credit\t98.82\t26\t2150\t7\tHousing\t80000\tClerical\tMaster's Degree\tSingle\n33666\tOther Credit\t98.82\t65\t3750\t15\tHousing\t85000\tTechnician\tMaster's Degree\tMarried\n38214\tOther Credit\t98.82\t42\t2150\t7\tNeed\t15000\tClerical\tMaster's Degree\tMarried\n16666\tOther Credit\t98.82\t52\t2150\t26\tNeed\t35000\tClerical\tMaster's Degree\tDivorced\n14399\tOther Credit\t98.82\t54\t2750\t3\tNeed\t45000\tArmy\tMaster's Degree\tSingle\n20923\tOther Credit\t98.82\t38\t2750\t34\tAuto\t50000\tProfessional\tMaster's Degree\tSingle\n13353\tOther Credit\t98.82\t71\t500\t9\tNeed\t45000\tManager\tPrimary School Grad\tDivorced\n81835\tOther Credit\t98.82\t46\t2150\t9\tHousing\t45000\tTechnician\tBachelor's Degree\tMarried\n42578\tOther Credit\t98.82\t67\t2150\t55\tHousing\t35000\tTechnician\tMaster's Degree\tMarried\n53138\tOther Credit\t98.82\t57\t2750\t30\tHousing\t65000\tFarmer\tBachelor's Degree\tSingle\n11918\tOther Credit\t98.82\t71\t2150\t48\tHousing\t75000\tWorker\tBachelor's Degree\tMarried\n10975\tOther Credit\t98.82\t61\t500\t9\tHousing\t100000\tProfessional\tPrimary School Grad\tMarried\n51089\tOther Credit\t98.82\t55\t2150\t23\tNeed\t20000\tTechnician\tBachelor's Degree\tSingle\n33796\tOther Credit\t98.82\t53\t500\t20\tHousing\t105000\tProfessional\tPrimary School Grad\tMarried\n95601\tOther Credit\t98.82\t41\t2750\t38\tHousing\t35000\tTechnician\tMaster's Degree\tMarried\n19293\tOther Credit\t98.82\t22\t2150\t11\tEducation\t15000\tWorker\tBachelor's Degree\tDivorced\n70392\tOther Credit\t98.82\t18\t2150\t57\tAuto\t15000\tTechnician\tBachelor's Degree\tMarried\n66406\tOther Credit\t98.82\t56\t2150\t29\tHousing\t95000\tProfessional\tBachelor's Degree\tMarried\n43092\tOther Credit\t98.82\t44\t500\t66\tNeed\t20000\tTechnician\tPrimary School Grad\tMarried\n42647\tOther Credit\t98.82\t41\t2150\t20\tHousing\t35000\tTechnician\tMaster's Degree\tMarried\n39260\tOther Credit\t98.82\t71\t2150\t5\tHousing\t105000\tTechnician\tBachelor's Degree\tSingle\n98092\tOther Credit\t98.82\t49\t2150\t4\tHousing\t100000\tTechnician\tMaster's Degree\tDivorced\n33331\tOther Credit\t98.82\t44\t2750\t13\tEducation\t20000\tManager\tBachelor's Degree\tMarried\n63333\tOther Credit\t98.82\t48\t500\t4\tNeed\t45000\tFarmer\tPrimary School Grad\tSingle\n12624\tOther Credit\t98.82\t26\t500\t38\tNeed\t25000\tProfessional\tPrimary School Grad\tSingle\n78615\tOther Credit\t98.82\t54\t500\t5\tEducation\t10000\tWorker\tPrimary School Grad\tDivorced\n17882\tOther Credit\t98.82\t30\t2150\t35\tHousing\t100000\tTechnician\tMaster's Degree\tSingle\n3597\tOther Credit\t98.82\t57\t2750\t6\tHousing\t65000\tTechnician\tMaster's Degree\tSingle\n48825\tOther Credit\t98.82\t62\t2150\t6\tHousing\t95000\tClerical\tBachelor's Degree\tDivorced\n22381\tOther Credit\t98.82\t55\t2750\t18\tHousing\t20000\tFarmer\tBachelor's Degree\tSingle\n46884\tOther Credit\t98.82\t28\t2750\t7\tHousing\t75000\tProfessional\tMaster's Degree\tMarried\n33774\tOther Credit\t98.82\t61\t2750\t76\tHousing\t40000\tProfessional\tBachelor's Degree\tMarried\n87462\tOther Credit\t98.82\t22\t500\t11\tEducation\t20000\tProfessional\tPrimary School Grad\tSingle\n51316\tOther Credit\t98.82\t19\t2750\t\tEducation\t15000\tTechnician\tBachelor's Degree\tMarried\n64040\tOther Credit\t98.82\t27\t2150\t4\tNeed\t35000\tClerical\tBachelor's Degree\t\n79427\tOther Credit\t98.82\t36\t3750\t10\tAuto\t50000\tFarmer\tMaster's Degree\tDivorced\n78390\tOther Credit\t98.82\t48\t2750\t22\tAuto\t40000\tClerical\tBachelor's Degree\tMarried\n98934\tOther Credit\t98.82\t59\t2750\t15\tEducation\t15000\tTechnician\tBachelor's Degree\tDivorced\n71745\tOther Credit\t98.82\t64\t2150\t21\tHousing\t100000\tClerical\tMaster's Degree\tMarried\n74701\tOther Credit\t98.82\t50\t2750\t16\tNeed\t20000\tWorker\tBachelor's Degree\tSingle\n37035\tOther Credit\t98.82\t63\t2750\t25\tNeed\t45000\tFarmer\tBachelor's Degree\tMarried\n27434\tOther Credit\t98.82\t46\t2750\t13\tAuto\t20000\tManager\tBachelor's Degree\tMarried\n99246\tOther Credit\t98.82\t63\t2750\t17\tNeed\t15000\tTechnician\tBachelor's Degree\tSingle\n85566\tOther Credit\t98.82\t47\t2750\t\tHousing\t70000\tClerical\tMaster's Degree\tSingle\n5679\tOther Credit\t98.82\t30\t2750\t2\tNeed\t40000\tProfessional\tMaster's Degree\tMarried\n88471\tOther Credit\t98.82\t25\t2150\t27\tHousing\t85000\tClerical\tBachelor's Degree\tMarried\n27306\tGood Credit\t70.11\t36\t4250\t9\tNeed\t35000\tProfessional\tBachelor's Degree\tSingle\n38928\tGood Credit\t70.11\t67\t5250\t38\tNeed\t20000\tManager\tBachelor's Degree\tSingle\n21890\tGood Credit\t64.96\t63\t4250\t6\tAuto\t25000\tManager\tBachelor's Degree\tMarried\n74761\tGood Credit\t64.96\t36\t5250\t31\tEducation\t10000\tManager\tBachelor's Degree\tSingle\n93729\tGood Credit\t57.23\t71\t3750\t27\tNeed\t45000\tManager\tDoctorate Degree\tSingle\n5455\tOther Credit\t57.23\t51\t4250\t11\tAuto\t45000\tManager\tBachelor's Degree\tSingle\n39985\tOther Credit\t57.23\t23\t3750\t1\tNeed\t25000\tManager\tDoctorate Degree\tMarried\n94303\tGood Credit\t57.23\t56\t3750\t44\tNeed\t40000\tManager\tDoctorate Degree\tMarried\n83960\tGood Credit\t57.23\t20\t6250\t36\tHousing\t40000\tProfessional\tBachelor's Degree\tMarried\n79991\tOther Credit\t57.23\t66\t3750\t29\t\t20000\tManager\tDoctorate Degree\tSingle\n2926\tOther Credit\t57.23\t31\t6250\t15\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n87109\tOther Credit\t57.23\t61\t\t8\tNeed\t45000\tProfessional\tBachelor's Degree\tSingle\n35419\tOther Credit\t57.23\t24\t3750\t1\tNeed\t20000\tManager\tDoctorate Degree\tMarried\n72792\tGood Credit\t57.23\t59\t6250\t2\tEducation\t10000\tProfessional\tBachelor's Degree\tMarried\n17181\tGood Credit\t57.23\t42\t4250\t34\tHousing\t35000\tProfessional\tBachelor's Degree\tMarried\n50053\tOther Credit\t56.96\t27\t5250\t4\tHousing\t105000\tManager\tBachelor's Degree\tMarried\n78878\tGood Credit\t56.96\t\t3750\t28\tEducation\t15000\tManager\tDoctorate Degree\tMarried\n59774\tGood Credit\t56.96\t46\t5250\t12\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n49064\tOther Credit\t56.96\t19\t3750\t64\tNeed\t15000\tManager\tDoctorate Degree\tMarried\n28615\tGood Credit\t56.96\t27\t3750\t34\tNeed\t30000\tProfessional\tDoctorate Degree\tMarried\n48012\tOther Credit\t56.96\t51\t\t1\tNeed\t25000\tManager\tBachelor's Degree\tSingle\n46869\tOther Credit\t56.96\t65\t4250\t36\tHousing\t40000\tProfessional\tBachelor's Degree\tSingle\n86323\tOther Credit\t56.96\t67\t4250\t71\tAuto\t50000\tManager\tBachelor's Degree\tMarried\n91728\tOther Credit\t56.96\t53\t4250\t16\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n609\tGood Credit\t56.96\t66\t4250\t26\tEducation\t20000\t\tBachelor's Degree\tMarried\n42038\tOther Credit\t56.96\t29\t3750\t22\tNeed\t15000\tProfessional\tDoctorate Degree\tSingle\n32789\tOther Credit\t56.96\t44\t3750\t41\tAuto\t25000\tProfessional\tDoctorate Degree\tMarried\n15765\tOther Credit\t56.96\t65\t6250\t10\tHousing\t\tProfessional\tBachelor's Degree\tSingle\n40041\tOther Credit\t56.96\t49\t4250\t34\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n23489\tGood Credit\t56.96\t18\t4250\t10\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n14057\tOther Credit\t56.96\t70\t6250\t14\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n49656\tGood Credit\t56.96\t34\t5250\t27\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n66197\tGood Credit\t56.96\t25\t4250\t2\tHousing\t30000\tProfessional\tBachelor's Degree\tSingle\n19201\tGood Credit\t56.96\t42\t6250\t8\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n99512\tOther Credit\t56.96\t47\t6250\t36\tNeed\t40000\tProfessional\tBachelor's Degree\tSingle\n5978\tGood Credit\t56.96\t42\t6250\t20\tNeed\t35000\tManager\tBachelor's Degree\tMarried\n64330\tGood Credit\t56.96\t27\t5250\t1\tAuto\t40000\tProfessional\tBachelor's Degree\tMarried\n98761\tOther Credit\t56.96\t38\t5250\t10\tEducation\t10000\tProfessional\tBachelor's Degree\tMarried\n50110\tGood Credit\t56.96\t33\t3750\t11\tNeed\t40000\tProfessional\tDoctorate Degree\tDivorced\n16884\tGood Credit\t56.96\t53\t3750\t2\tNeed\t30000\tManager\tDoctorate Degree\tMarried\n25649\tOther Credit\t56.96\t66\t3750\t10\tHousing\t40000\tProfessional\tDoctorate Degree\tDivorced\n40454\tGood Credit\t56.85\t69\t4250\t12\tAuto\t35000\tProfessional\tBachelor's Degree\tMarried\n75820\tGood Credit\t56.85\t69\t5250\t28\tNeed\t20000\tProfessional\tBachelor's Degree\tSingle\n92547\tGood Credit\t54.71\t38\t3750\t4\tHousing\t20000\tProfessional\tDoctorate Degree\tSingle\n24926\tOther Credit\t54.71\t62\t3750\t6\tHousing\t55000\tManager\tDoctorate Degree\tMarried\n73476\tGood Credit\t54.71\t41\t5250\t64\tHousing\t100000\tProfessional\tBachelor's Degree\tSingle\n51334\tGood Credit\t54.71\t18\t3750\t64\tNeed\t45000\tProfessional\tDoctorate Degree\tDivorced\n98909\tGood Credit\t54.71\t40\t5250\t7\tNeed\t20000\tManager\tBachelor's Degree\tSingle\n28636\tGood Credit\t54.71\t71\t6250\t13\tEducation\t\tProfessional\tBachelor's Degree\tMarried\n6424\tGood Credit\t54.71\t51\t3750\t8\tEducation\t15000\tProfessional\tDoctorate Degree\tSingle\n99228\tOther Credit\t54.71\t24\t3750\t4\tHousing\t75000\tManager\tDoctorate Degree\tMarried\n39326\tGood Credit\t54.71\t49\t3750\t11\tNeed\t20000\tProfessional\tDoctorate Degree\tMarried\n87238\tGood Credit\t53.75\t48\t6250\t15\tHousing\t60000\tManager\tBachelor's Degree\tMarried\n49413\tGood Credit\t53.75\t22\t4250\t18\tNeed\t25000\tManager\tBachelor's Degree\tDivorced\n12681\tGood Credit\t53.75\t26\t6250\t12\tAuto\t35000\tManager\tBachelor's Degree\tDivorced\n66110\tGood Credit\t53.75\t61\t4250\t4\tHousing\t95000\tProfessional\tBachelor's Degree\tMarried\n80563\tGood Credit\t53.75\t33\t4250\t18\tAuto\t45000\tProfessional\tBachelor's Degree\tMarried\n44568\tGood Credit\t53.75\t35\t3750\t32\tNeed\t10000\tProfessional\tDoctorate Degree\tMarried\n70515\tGood Credit\t53.75\t18\t6250\t2\tHousing\t60000\tProfessional\tBachelor's Degree\tMarried\n95438\tGood Credit\t53.75\t41\t3750\t5\tEducation\t10000\tProfessional\tDoctorate Degree\tMarried\n28140\tGood Credit\t53.75\t20\t4250\t31\tHousing\t10000\tProfessional\tBachelor's Degree\tMarried\n16977\tOther Credit\t53.75\t51\t4250\t3\tHousing\t10000\tManager\tBachelor's Degree\tSingle\n48931\tOther Credit\t53.75\t60\t6250\t8\tHousing\t90000\tManager\tBachelor's Degree\tMarried\n84096\tOther Credit\t53.75\t33\t3750\t8\tEducation\t20000\tProfessional\tDoctorate Degree\tMarried\n43239\tOther Credit\t53.75\t19\t\t62\tHousing\t25000\tProfessional\tBachelor's Degree\tMarried\n78207\tGood Credit\t53.75\t34\t6250\t12\tHousing\t80000\tManager\tBachelor's Degree\tSingle\n57864\tGood Credit\t53.75\t27\t5250\t11\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n38954\tGood Credit\t53.44\t58\t5250\t12\tHousing\t55000\tProfessional\tBachelor's Degree\tMarried\n10810\tOther Credit\t53.44\t65\t6250\t6\tEducation\t15000\tManager\tBachelor's Degree\tDivorced\n27870\tGood Credit\t53.44\t35\t4250\t6\tNeed\t30000\tProfessional\tBachelor's Degree\tSingle\n1995\tOther Credit\t53.44\t32\t5250\t12\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n88770\tOther Credit\t53.44\t35\t4250\t34\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n35292\tOther Credit\t53.44\t30\t6250\t1\tNeed\t40000\tProfessional\tBachelor's Degree\tSingle\n79893\tGood Credit\t53.44\t33\t5250\t13\tNeed\t35000\tProfessional\tBachelor's Degree\tDivorced\n75515\tGood Credit\t53.44\t44\t4250\t15\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n74418\tGood Credit\t53.44\t39\t5250\t1\tNeed\t20000\tProfessional\tBachelor's Degree\tDivorced\n98368\tGood Credit\t53.44\t49\t4250\t28\tAuto\t40000\tManager\tBachelor's Degree\tMarried\n17946\tGood Credit\t53.44\t71\t5250\t39\tHousing\t30000\tManager\tBachelor's Degree\tMarried\n50803\tOther Credit\t53.44\t60\t5250\t7\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n47672\tGood Credit\t53.44\t38\t6250\t11\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n73010\tOther Credit\t53.44\t28\t5250\t33\tHousing\t105000\tManager\tBachelor's Degree\tSingle\n32187\tOther Credit\t53.44\t54\t3750\t1\tNeed\t35000\tProfessional\tDoctorate Degree\tMarried\n70996\tOther Credit\t53.44\t39\t4250\t20\tHousing\t65000\tProfessional\tBachelor's Degree\tMarried\n41639\tOther Credit\t53.44\t54\t6250\t38\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n61942\tOther Credit\t53.44\t32\t5250\t8\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n81506\tOther Credit\t53.44\t29\t6250\t14\tAuto\t15000\tManager\tBachelor's Degree\tSingle\n54302\tGood Credit\t53.44\t29\t6250\t10\tAuto\t45000\tProfessional\tBachelor's Degree\tSingle\n69231\tOther Credit\t53.44\t33\t5250\t14\tNeed\t45000\tProfessional\tBachelor's Degree\tSingle\n11754\tOther Credit\t53.44\t52\t3750\t2\tEducation\t15000\tManager\tDoctorate Degree\tMarried\n74969\tOther Credit\t53.44\t50\t4250\t24\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n85217\tOther Credit\t53.44\t41\t5250\t36\tNeed\t35000\tProfessional\tBachelor's Degree\tSingle\n86105\tGood Credit\t52.43\t38\t3750\t14\tNeed\t40000\tProfessional\tDoctorate Degree\tMarried\n6378\tGood Credit\t51.93\t50\t3750\t20\tHousing\t10000\tProfessional\tDoctorate Degree\tMarried\n38832\tGood Credit\t51.55\t23\t3750\t27\tHousing\t80000\tProfessional\tDoctorate Degree\tSingle\n7208\tGood Credit\t51.55\t20\t4250\t4\tNeed\t15000\tProfessional\tBachelor's Degree\tDivorced\n78333\tGood Credit\t51.55\t64\t4250\t10\tAuto\t15000\tProfessional\t\tDivorced\n51533\tOther Credit\t51.55\t52\t5250\t65\tAuto\t10000\tManager\tBachelor's Degree\tMarried\n50218\tGood Credit\t51.55\t39\t5250\t6\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n50791\tOther Credit\t51.55\t28\t5250\t1\tAuto\t55000\tManager\tBachelor's Degree\tSingle\n38923\tGood Credit\t51.55\t38\t4250\t51\tHousing\t45000\tProfessional\tBachelor's Degree\tDivorced\n35440\tOther Credit\t51.55\t48\t3750\t2\tNeed\t30000\tProfessional\tDoctorate Degree\tMarried\n74413\tGood Credit\t51.55\t62\t4250\t37\tEducation\t10000\tManager\tBachelor's Degree\tSingle\n18991\tGood Credit\t51.55\t38\t6250\t67\tAuto\t20000\tManager\tBachelor's Degree\tMarried\n76158\tGood Credit\t51.55\t54\t\t21\tAuto\t30000\tProfessional\tBachelor's Degree\tMarried\n78758\tGood Credit\t51.55\t18\t4250\t15\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n58218\tGood Credit\t51.55\t30\t4250\t38\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n47495\tOther Credit\t51.55\t55\t6250\t\tHousing\t65000\tProfessional\tBachelor's Degree\tDivorced\n55044\tOther Credit\t51.55\t56\t5250\t25\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n65703\tOther Credit\t51.55\t\t5250\t9\tHousing\t90000\tProfessional\tBachelor's Degree\tMarried\n51592\tOther Credit\t51.55\t22\t5250\t15\tAuto\t55000\tManager\tBachelor's Degree\tSingle\n61862\tOther Credit\t51.55\t64\t5250\t31\tHousing\t30000\tProfessional\tBachelor's Degree\tSingle\n46747\tGood Credit\t51.55\t33\t6250\t22\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n59218\tGood Credit\t51.55\t66\t3750\t7\tNeed\t30000\tManager\tDoctorate Degree\tDivorced\n92155\tOther Credit\t51.55\t32\t4250\t3\tNeed\t20000\tProfessional\tBachelor's Degree\tMarried\n24696\tOther Credit\t51.55\t22\t3750\t31\tNeed\t40000\tProfessional\tDoctorate Degree\tMarried\n8631\tOther Credit\t51.55\t41\t6250\t8\tNeed\t25000\tProfessional\tBachelor's Degree\tMarried\n98161\tOther Credit\t51.55\t65\t5250\t15\tEducation\t10000\tManager\tBachelor's Degree\tSingle\n98490\tOther Credit\t51.55\t59\t4250\t15\tAuto\t35000\tManager\tBachelor's Degree\tMarried\n29520\tOther Credit\t51.55\t57\t3750\t12\tNeed\t35000\tProfessional\tDoctorate Degree\tMarried\n70295\tOther Credit\t51.55\t36\t6250\t91\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n7721\tOther Credit\t51.55\t47\t5250\t22\tHousing\t70000\tManager\tBachelor's Degree\tMarried\n22555\tOther Credit\t51.55\t40\t4250\t20\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n68692\tGood Credit\t51.55\t\t5250\t15\tHousing\t75000\tManager\tBachelor's Degree\tMarried\n86817\tGood Credit\t51.55\t44\t6250\t1\tNeed\t35000\tProfessional\tBachelor's Degree\tSingle\n7825\tGood Credit\t51.55\t32\t6250\t38\tHousing\t80000\tProfessional\tBachelor's Degree\tMarried\n26080\tOther Credit\t51.55\t56\t5250\t14\tNeed\t20000\tProfessional\tBachelor's Degree\tMarried\n84489\tGood Credit\t51.55\t44\t5250\t9\tHousing\t45000\tProfessional\tBachelor's Degree\tSingle\n40432\tGood Credit\t51.55\t37\t3750\t11\tNeed\t15000\tManager\tDoctorate Degree\tMarried\n84369\tOther Credit\t51.55\t41\t4250\t9\t\t35000\tProfessional\tBachelor's Degree\tDivorced\n34240\tOther Credit\t51.55\t27\t4250\t64\tAuto\t15000\tManager\tBachelor's Degree\tSingle\n79474\tGood Credit\t51.55\t56\t6250\t6\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n72901\tGood Credit\t51.55\t42\t3750\t38\tHousing\t70000\tManager\tDoctorate Degree\tSingle\n58656\tGood Credit\t51.55\t47\t3750\t7\tAuto\t40000\tProfessional\tDoctorate Degree\tMarried\n3111\tGood Credit\t51.55\t54\t5250\t38\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n3789\tGood Credit\t51.55\t55\t3750\t2\tNeed\t40000\tManager\tDoctorate Degree\tMarried\n30909\tGood Credit\t51.55\t51\t4250\t6\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n86932\tGood Credit\t51.55\t45\t5250\t82\tNeed\t35000\tManager\tBachelor's Degree\tSingle\n93929\tOther Credit\t51.55\t40\t6250\t9\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n54378\tOther Credit\t51.55\t28\t6250\t20\tHousing\t35000\tManager\tBachelor's Degree\tMarried\n24790\tGood Credit\t51.55\t54\t4250\t2\tHousing\t95000\tProfessional\tBachelor's Degree\tMarried\n11948\tGood Credit\t51.55\t48\t6250\t16\tHousing\t30000\tManager\tBachelor's Degree\tDivorced\n97734\tOther Credit\t51.55\t25\t5250\t4\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n34201\tGood Credit\t51.55\t28\t3750\t10\tNeed\t35000\tManager\tDoctorate Degree\t\n18710\tOther Credit\t51.55\t59\t4250\t8\tNeed\t35000\tManager\tBachelor's Degree\t\n6734\tGood Credit\t51.55\t52\t3750\t35\tNeed\t40000\tProfessional\tDoctorate Degree\tMarried\n92754\tOther Credit\t51.55\t31\t6250\t5\tNeed\t35000\tManager\tBachelor's Degree\tSingle\n13385\tGood Credit\t51.55\t48\t\t25\tHousing\t40000\tProfessional\tDoctorate Degree\tMarried\n57351\tOther Credit\t51.55\t41\t3750\t16\tNeed\t20000\tManager\tDoctorate Degree\tMarried\n22301\tGood Credit\t51.55\t25\t6250\t2\tNeed\t45000\tProfessional\tBachelor's Degree\tMarried\n25491\tGood Credit\t51.55\t20\t6250\t15\tNeed\t10000\tManager\tBachelor's Degree\tSingle\n67522\tGood Credit\t51.55\t41\t4250\t15\t\t35000\tProfessional\tBachelor's Degree\tMarried\n49593\tOther Credit\t51.55\t43\t6250\t14\tAuto\t15000\tManager\tBachelor's Degree\tMarried\n61824\tOther Credit\t51.55\t40\t3750\t17\tNeed\t10000\tProfessional\tDoctorate Degree\tMarried\n85903\tOther Credit\t51.55\t26\t4250\t4\tNeed\t10000\tManager\tBachelor's Degree\tDivorced\n95738\tGood Credit\t51.55\t20\t5250\t34\tNeed\t15000\tProfessional\tBachelor's Degree\tMarried\n13030\tOther Credit\t51.55\t24\t4250\t\tNeed\t35000\tProfessional\tBachelor's Degree\tMarried\n34178\tOther Credit\t51.55\t19\t6250\t15\tHousing\t45000\tProfessional\tBachelor's Degree\tMarried\n48254\tGood Credit\t51.55\t56\t5250\t14\tEducation\t10000\tManager\tBachelor's Degree\tMarried\n89622\tOther Credit\t51.55\t48\t5250\t9\tNeed\t10000\tProfessional\tBachelor's Degree\tMarried\n24778\tGood Credit\t51.55\t42\t4250\t4\tHousing\t105000\tManager\tBachelor's Degree\tDivorced\n14956\tOther Credit\t51.55\t44\t5250\t28\tHousing\t30000\tManager\tBachelor's Degree\tSingle\n82441\tGood Credit\t51.55\t32\t5250\t4\tAuto\t55000\tProfessional\tBachelor's Degree\tSingle\n94153\tGood Credit\t51.55\t41\t6250\t15\tNeed\t40000\tProfessional\tBachelor's Degree\tDivorced\n76845\tGood Credit\t51.55\t60\t6250\t5\tHousing\t85000\tManager\tBachelor's Degree\tSingle\n68316\tGood Credit\t51.55\t28\t4250\t10\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n46850\tGood Credit\t51.55\t56\t6250\t11\tNeed\t25000\tProfessional\tBachelor's Degree\tSingle\n78406\tOther Credit\t51.55\t68\t6250\t9\tAuto\t55000\tProfessional\tBachelor's Degree\tMarried\n45584\tGood Credit\t51.55\t68\t5250\t5\tNeed\t10000\tManager\tBachelor's Degree\tSingle\n15051\tOther Credit\t51.55\t41\t5250\t7\tEducation\t10000\tProfessional\tBachelor's Degree\tMarried\n85928\tGood Credit\t51.55\t60\t4250\t38\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n89915\tGood Credit\t51.55\t51\t4250\t3\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n84024\tGood Credit\t51.55\t59\t6250\t5\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n88562\tGood Credit\t51.55\t33\t6250\t35\tNeed\t30000\tProfessional\tBachelor's Degree\tMarried\n48334\tGood Credit\t51.55\t45\t3750\t5\tNeed\t45000\tManager\tDoctorate Degree\tMarried\n45322\tGood Credit\t51.55\t49\t5250\t11\tHousing\t40000\tManager\tBachelor's Degree\tMarried\n26470\tGood Credit\t51.55\t20\t6250\t38\tAuto\t55000\tManager\tBachelor's Degree\tMarried\n58590\tOther Credit\t51.55\t63\t3750\t5\tNeed\t40000\tManager\tDoctorate Degree\tDivorced\n24004\tGood Credit\t51.55\t30\t5250\t6\tNeed\t30000\tProfessional\tBachelor's Degree\tSingle\n55191\tOther Credit\t51.55\t26\t4250\t16\tNeed\t40000\tProfessional\tBachelor's Degree\tMarried\n32929\tOther Credit\t51.55\t20\t5250\t37\tHousing\t15000\tManager\tBachelor's Degree\tMarried\n85248\tOther Credit\t51.55\t56\t5250\t9\tNeed\t20000\tProfessional\tBachelor's Degree\tMarried\n55305\tOther Credit\t51.55\t39\t5250\t2\tHousing\t15000\tProfessional\tBachelor's Degree\tSingle\n35886\tGood Credit\t51.55\t26\t4250\t76\tNeed\t40000\tManager\tBachelor's Degree\tSingle\n70786\tOther Credit\t51.55\t62\t4250\t5\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n50290\tGood Credit\t51.55\t23\t6250\t29\tAuto\t15000\tProfessional\tBachelor's Degree\tSingle\n59914\tGood Credit\t51.55\t21\t3750\t15\tNeed\t30000\tProfessional\tDoctorate Degree\tMarried\n22655\tGood Credit\t51.55\t26\t4250\t17\tNeed\t45000\tManager\tBachelor's Degree\tMarried\n36575\tGood Credit\t51.55\t19\t\t12\tNeed\t15000\tManager\tBachelor's Degree\tSingle\n99662\tGood Credit\t51.55\t41\t4250\t10\tNeed\t25000\tManager\tBachelor's Degree\tMarried\n28562\tGood Credit\t51.55\t22\t4250\t6\tHousing\t15000\tManager\tBachelor's Degree\tMarried\n62708\tGood Credit\t51.55\t45\t5250\t18\tNeed\t30000\tManager\tBachelor's Degree\tMarried\n75474\tOther Credit\t51.55\t23\t4250\t12\tNeed\t20000\tManager\tBachelor's Degree\tSingle\n41515\tGood Credit\t51.55\t27\t3750\t31\tEducation\t\tManager\tDoctorate Degree\tDivorced\n91368\tOther Credit\t51.55\t46\t4250\t5\tAuto\t55000\tManager\tBachelor's Degree\tMarried\n42582\tGood Credit\t51.55\t22\t3750\t11\tNeed\t35000\tManager\tDoctorate Degree\tSingle\n21593\tGood Credit\t51.55\t43\t6250\t38\tNeed\t45000\tProfessional\tBachelor's Degree\tMarried\n91546\tGood Credit\t51.55\t55\t4250\t10\tNeed\t10000\tManager\tBachelor's Degree\tDivorced\n78848\tOther Credit\t50.83\t50\t4250\t11\tAuto\t55000\tManager\tBachelor's Degree\tMarried\n47641\tOther Credit\t50.45\t18\t5250\t17\tNeed\t10000\tManager\tBachelor's Degree\tMarried\n84398\tGood Credit\t50.45\t48\t4250\t20\tNeed\t15000\tManager\tBachelor's Degree\tMarried\n25788\tOther Credit\t50.45\t54\t6250\t21\tHousing\t105000\tProfessional\tBachelor's Degree\tMarried\n81163\tGood Credit\t50.45\t62\t6250\t79\tHousing\t75000\tManager\tBachelor's Degree\tMarried\n58147\tOther Credit\t50.45\t63\t4250\t7\tHousing\t20000\tProfessional\tBachelor's Degree\tMarried\n33088\tOther Credit\t50.45\t63\t4250\t\tAuto\t30000\tManager\tBachelor's Degree\tSingle\n71537\tGood Credit\t50.45\t27\t6250\t38\tNeed\t45000\tManager\tBachelor's Degree\tDivorced\n70570\tOther Credit\t50.45\t20\t5250\t28\tNeed\t40000\tManager\tBachelor's Degree\tMarried\n90356\tOther Credit\t50.45\t19\t5250\t2\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n67697\tOther Credit\t50.45\t39\t5250\t9\tNeed\t20000\tProfessional\tBachelor's Degree\tSingle\n91225\tOther Credit\t50.45\t67\t5250\t88\tNeed\t20000\tManager\tBachelor's Degree\tMarried\n62799\tGood Credit\t50.45\t54\t5250\t11\tNeed\t20000\tManager\tBachelor's Degree\tSingle\n13964\tGood Credit\t50.45\t36\t4250\t14\tHousing\t70000\tProfessional\tBachelor's Degree\tDivorced\n75694\tOther Credit\t50.45\t46\t6250\t15\tHousing\t70000\tManager\tBachelor's Degree\tSingle\n73870\tOther Credit\t50.45\t67\t6250\t13\tHousing\t30000\tProfessional\tBachelor's Degree\tSingle\n58976\tGood Credit\t50.45\t45\t3750\t23\tNeed\t25000\tManager\tDoctorate Degree\tMarried\n51841\tOther Credit\t50.45\t64\t3750\t30\tHousing\t25000\tManager\tDoctorate Degree\tDivorced\n61119\tOther Credit\t50.45\t18\t4250\t4\tNeed\t35000\tManager\tBachelor's Degree\tDivorced\n36682\tGood Credit\t50.45\t71\t6250\t1\tNeed\t35000\tProfessional\tBachelor's Degree\tDivorced\n93331\tOther Credit\t50.45\t28\t5250\t21\tHousing\t60000\tManager\tBachelor's Degree\tMarried\n32713\tOther Credit\t50.45\t41\t4250\t5\tNeed\t25000\t\tBachelor's Degree\tMarried\n60280\tOther Credit\t50.45\t46\t6250\t19\tHousing\t50000\tManager\tBachelor's Degree\tMarried\n91621\tOther Credit\t50.45\t60\t3750\t6\tHousing\t75000\tManager\tDoctorate Degree\tSingle\n37901\tOther Credit\t50.45\t36\t6250\t21\tEducation\t10000\tManager\tBachelor's Degree\tSingle\n56246\tGood Credit\t50.45\t27\t5250\t66\tAuto\t20000\tProfessional\tBachelor's Degree\tMarried\n"}]},"jobName":"paragraph_1563775868170_631664384","id":"20190722-061108_1649306231","dateCreated":"2018-07-03T16:00:59+0000","dateStarted":"2019-07-24T01:31:03+0000","dateFinished":"2019-07-24T01:31:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3208"},{"title":"STEP 15:  CREDIT_SCORE_NEW_PREDICTIONS 테이블이 존재한다면 DROP 한다.","text":"%script\nbegin\nexecute immediate 'drop table credit_score_new_predictions';\nDBMS_OUTPUT.PUT_LINE ('succeeded');\nEXCEPTION\nWHEN OTHERS THEN\nDBMS_OUTPUT.PUT_LINE ('drop unneccessary - no table exists');\nEND;","user":"ADWC_WS2","dateUpdated":"2019-07-23T08:27:52+0000","config":{"colWidth":12,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"drop unneccessary - no table exists\n\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1563775868170_-270077314","id":"20190722-061108_1778487684","dateCreated":"2018-07-12T20:12:46+0000","dateStarted":"2018-10-17T18:51:20+0000","dateFinished":"2018-10-17T18:51:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3209"},{"title":"STEP 16:  새로운 고객에 대한 모델 적용 결과를 CREDIT_SCORE_NEW_PREDICTIONS 테이블에 저장한다.","text":"%sql \n\n/* 시각화 툴에서 사용하기 위해 신용평가 모델을 통한 결과를 저장한다. */\n\ncreate table credit_score_new_predictions as \nselect a.customer_id\n\t, a.prob_good_credit --good credit일 확률을 나타내는 컬럼\n\t, b.age, b.income, b.tenure, b.loan_type, b.loan_amount, b.occupation, b.education_level, b.marital_status\n\t-- 아래 prediction_probability에 'Good Credit'이라는 class 를 명시했기 때문에 나오는 예측 확률은 Good Credit일 확률을 나타낸다. class를 지정하지 않으면 단순히 예측의 정확도를 나타낸다.\nfrom (select * from (select Customer_id, round(prob_good_credit *100,2) prob_good_credit from (select Customer_ID, prediction_probability(N1_CLASS_MODEL, 'Good Credit' using *) prob_good_credit from credit_scoring_new_cust_v))) a\n, credit_scoring_100k_v b\nwhere a.customer_id = b.customer_id\n","user":"ADWC_WS2","dateUpdated":"2019-07-23T12:19:08+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Updated 9962 row(s)."}]},"jobName":"paragraph_1563775868170_1171904571","id":"20190722-061108_1880662993","dateCreated":"2018-07-10T20:45:35+0000","dateStarted":"2018-10-17T18:51:32+0000","dateFinished":"2018-10-17T18:51:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3210"},{"title":"STEP 17:  CREDIT_SCORING_NEW_PREDICTIONS 테이블을 리뷰하고 예측값을 기반으로 신용도가 높게 평가된 고객을 조회해보자.","text":"%sql \n\n\nselect customer_id, prob_good_credit, age, income, tenure, loan_type, loan_amount, occupation, education_level, education_level, marital_status, rank() over (order by prob_good_credit desc) as rank \nfrom credit_score_new_predictions order by prob_good_credit desc","user":"ADWC_WS","dateUpdated":"2019-07-24T01:31:14+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}],"values":[{"name":"PROB_GOOD_CREDIT","index":1,"aggr":"sum"}],"scatter":{"xAxis":{"name":"CUSTOMER_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUSTOMER_ID\tPROB_GOOD_CREDIT\tAGE\tINCOME\tTENURE\tLOAN_TYPE\tLOAN_AMOUNT\tOCCUPATION\tEDUCATION_LEVEL\tEDUCATION_LEVEL\tMARITAL_STATUS\tRANK\n28276\t100\t52\t6250\t23\tAuto\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n45783\t100\t19\t5250\t28\tEducation\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n70831\t100\t25\t5250\t30\tEducation\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n1644\t100\t55\t4250\t30\t\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n18592\t100\t67\t4250\t33\tNeed\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n20276\t100\t49\t4250\t34\tNeed\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n41195\t100\t52\t6250\t34\tNeed\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n80030\t100\t63\t5250\t36\tNeed\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n2137\t100\t69\t4250\t36\tEducation\t20000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n3180\t100\t21\t6250\t39\tEducation\t20000\tProfessional\tBachelor's Degree\tBachelor's 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Degree\tMarried\t1\n38147\t100\t60\t6250\t23\tAuto\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n51096\t100\t65\t5250\t24\tAuto\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n51944\t100\t23\t4250\t25\tAuto\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n7931\t100\t25\t4250\t25\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tDivorced\t1\n90574\t100\t25\t4250\t25\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n93529\t100\t39\t6250\t25\tAuto\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n75156\t100\t35\t6250\t26\tNeed\t25000\tProfessional\t\t\tSingle\t1\n83132\t100\t45\t6250\t26\tHousing\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n32751\t100\t63\t5250\t27\tAuto\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n4029\t100\t69\t5250\t31\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n23334\t100\t37\t4250\t32\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n9203\t100\t44\t4250\t34\t\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n3314\t100\t58\t5250\t34\tHousing\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tDivorced\t1\n62887\t100\t50\t4250\t50\tHousing\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n56835\t100\t29\t5250\t56\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n51974\t100\t52\t6250\t67\tHousing\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n75037\t100\t55\t5250\t88\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n20511\t100\t19\t6250\t89\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n17616\t100\t54\t4250\t91\tNeed\t25000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n11963\t100\t21\t5250\t1\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n22348\t100\t60\t6250\t1\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n38263\t100\t47\t4250\t2\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n18358\t100\t27\t5250\t3\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n98811\t100\t70\t4250\t3\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n46306\t100\t32\t5250\t4\tHousing\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n59528\t100\t25\t6250\t5\tHousing\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n38726\t100\t65\t6250\t5\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n98449\t100\t43\t4250\t6\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n31992\t100\t63\t6250\t6\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n81289\t100\t25\t5250\t7\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n78985\t100\t61\t5250\t7\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n97708\t100\t48\t5250\t8\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n2532\t100\t33\t4250\t10\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n84753\t100\t36\t6250\t10\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tDivorced\t1\n30892\t100\t52\t6250\t10\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n39916\t100\t58\t5250\t10\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n45114\t100\t30\t4250\t11\tHousing\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n14521\t100\t36\t5250\t11\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n89241\t100\t44\t6250\t12\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n32857\t100\t36\t4250\t13\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n64135\t100\t68\t4250\t13\tAuto\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n65011\t100\t22\t5250\t14\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n5080\t100\t26\t6250\t14\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tDivorced\t1\n70354\t100\t52\t4250\t15\tNeed\t35000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n6641\t100\t66\t5250\t10\tAuto\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n33561\t100\t42\t5250\t11\tAuto\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n5097\t100\t47\t6250\t11\tNeed\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n56880\t100\t23\t5250\t12\tNeed\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tSingle\t1\n29605\t100\t28\t5250\t12\tNeed\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n65292\t100\t68\t4250\t12\tNeed\t15000\tProfessional\tBachelor's Degree\tBachelor's Degree\tMarried\t1\n"}]},"jobName":"paragraph_1563775868170_-509448926","id":"20190722-061108_1776088009","dateCreated":"2018-06-27T21:03:45+0000","dateStarted":"2019-07-24T01:31:14+0000","dateFinished":"2019-07-24T01:31:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3211"},{"title":"STEP 18: OLTP 애플리케이션에서 사용하는 개별 레코드에 ML 모델을 적용해 봅시다.","text":"%sql\n\n/*  부자이고, 수입이 2000 이며 고객 등급이 Silver 인 고객의 신용도를 평가해 봅시다. 값을 변화시키면서 다른 고객들의 신용도도 평가해 봅시다.*/\n\nselect prediction_probability(N1_CLASS_MODEL, 'Good Credit' \n  USING 'Rich' as WEALTH, 2000 as income, 'Silver' as customer_value_segment) Prediction_Probability\nfrom dual;","user":"ADWC_WS","dateUpdated":"2019-07-24T01:31:57+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"PREDICTION_PROBABILITY","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"PREDICTION_PROBABILITY","index":0,"aggr":"sum"}},"groups":[],"height":84},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PREDICTION_PROBABILITY\n0.5158465710964742\n"}]},"jobName":"paragraph_1563775868170_-625328595","id":"20190722-061108_2026910039","dateCreated":"2018-07-02T22:47:39+0000","dateStarted":"2019-07-24T01:31:58+0000","dateFinished":"2019-07-24T01:31:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3212"},{"title":"STEP 19:  CUSTOMER_SCORING_100_V View 를 업데이트 한다.","text":"%sql \n/* NOTE:  lab 400 시작 하기 전에 반드시 view를 업데이트 해야 합니다.\n 좋은 신용도에 대한 확률을 담는 컬럼을 추가하여 추후 분석에서 사용합니다. */\n\ncreate or replace view credit_scoring_100k_v as select a.prob_good_credit, b.*\nfrom credit_score_new_predictions a, admin.credit_scoring_100k b\nwhere a.customer_id = b.customer_id;","user":"ADWC_WS2","dateUpdated":"2019-07-23T09:25:50+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Updated 0 row(s)."}]},"jobName":"paragraph_1563775868170_-189913193","id":"20190722-061108_515572344","dateCreated":"2018-07-20T15:58:32+0000","dateStarted":"2018-10-17T18:52:14+0000","dateFinished":"2018-10-17T18:52:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3213"},{"text":"%md\n## 결론\nADWC의 Machine Learning은 데이터베이스 엔진에 내장 된 기계 학습 기능이 거의 없거나 전혀없는 경쟁 클라우드 솔루션을 훨씬 능가하는 예측 기능을 제공합니다. 이러한 경우의 예측 분석은 별도의 마이닝 리포지토리로 데이터를 추출해야합니다 (시간이 오래 걸리고 복잡합니다). 오라클의 ADWC는 테라 바이트를 처리하여 패턴을 발견하고 미래의 결과를 예측할 수있는 ADWC의 데이터에 다양한 ML 알고리즘을 적용 할 수 있습니다.\n\n이로 인해 해미의 분석이 크게 단순화되었으며 데이터 추출이 필요한 다른 도구 없이도 신속하게 새로운 데이터 소스를 처리 할 수있는 완전히 새로운 기회가 창출되었습니다. 그녀는 유입되는 스트리밍 데이터를 즉각적으로 처리 할 수있는 응용 프로그램을 만들 수 있으며 추세가 나타나면서 모델을 개선하는 지속적인 적응 프로세스를 만들 수 있습니다.","user":"ADWC_WS","dateUpdated":"2019-07-23T12:20:53+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h2>결론</h2>\n<p>ADWC의 Machine Learning은 데이터베이스 엔진에 내장 된 기계 학습 기능이 거의 없거나 전혀없는 경쟁 클라우드 솔루션을 훨씬 능가하는 예측 기능을 제공합니다. 이러한 경우의 예측 분석은 별도의 마이닝 리포지토리로 데이터를 추출해야합니다 (시간이 오래 걸리고 복잡합니다). 오라클의 ADWC는 테라 바이트를 처리하여 패턴을 발견하고 미래의 결과를 예측할 수있는 ADWC의 데이터에 다양한 ML 알고리즘을 적용 할 수 있습니다.</p>\n<p>이로 인해 해미의 분석이 크게 단순화되었으며 데이터 추출이 필요한 다른 도구 없이도 신속하게 새로운 데이터 소스를 처리 할 수있는 완전히 새로운 기회가 창출되었습니다. 그녀는 유입되는 스트리밍 데이터를 즉각적으로 처리 할 수있는 응용 프로그램을 만들 수 있으며 추세가 나타나면서 모델을 개선하는 지속적인 적응 프로세스를 만들 수 있습니다.</p>\n"}]},"jobName":"paragraph_1563783552221_1600978508","id":"20190722-081912_1452861106","dateCreated":"2019-07-22T08:19:12+0000","dateStarted":"2019-07-23T12:20:47+0000","dateFinished":"2019-07-23T12:20:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:3214"},{"text":"%md ","user":"ADWC_WS","dateUpdated":"2018-07-11T21:48:01+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false}},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1563775868170_-1656479859","id":"20190722-061108_1550255904","dateCreated":"2018-07-11T21:48:01+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:3215"}],"name":"신용평가 모델 만들기","id":"2414","angularObjects":{"MDW381939C745:shared_process":[],"ORA2AF8A30968:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}