risk report group we

risk report group we

ID:39761671

大小:1.46 MB

页数:20页

时间:2019-07-11

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1、MS6211 Statistical Modeling in Risk ManagementGroup Project Report for Credit ScorecardTEAM MEMBERLI Jiading     53273140                      TANG Gang   53226912XUE Fan  53333490REN Jingting   53493288Table of Contents1. Introduction:...................................................

2、...................................................32. Data Preparation................................................................................................32.1 Data Cleaning................................................................................................42.2 D

3、ata transformation.....................................................................................42.3 Training & Testing Group..............................................................................63. Classification Tree......................................................

4、........................................64. Linear Regression..............................................................................................124.1 Estimation of Linear Regression Model........................................................134.2 Check the accuracy.........

5、.............................................................................145. Linear Programming..........................................................................................155.1 Linear Programming Principle...............................................................

6、.......155.2 For this case.................................................................................................166. Conclusion........................................................................................................2021. Introduction:Sometimes, banks have some

7、 problems abouthow to evaluate the customers’credit application, so we need to makestandardprocesstohelpwiththedecisionwhetherbankshouldacceptcustomers’application;creditscoringisoneoftheimportantapplicationsofstatisticstechniquetoidentifyacustomer’srisklevel.Inthisproject,from

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