Develop​ ​a​ ​predictive​ ​model​ ​to​ ​approve​ ​or​ ​deny​ ​an​ ​Credit​ ​card​ ​application. Some​ ​Research​ ​Questions

• 1. Is​ ​there​ ​a​ ​correlation​ ​between​ ​Age,​ ​Income,​ ​Credit​ ​Score,​ ​and​ ​Debt​ ​levels​ ​and​ ​the​ ​credit approval​ ​status?​ ​Can​ ​this​ ​relationship​ ​be​ ​used​ ​to​ ​predict​ ​if​ ​a​ ​person​ ​is​ ​granted​ ​credit?​ ​If​ ​yes, does​ ​the​ ​relationship​ ​indicate​ ​reasonable​ ​risk​ ​management​ ​strategies?
• 2. Ethnicity​ ​is​ ​a​ ​protected​ ​status​ ​and​ ​the​ ​decision​ ​to​ ​approve​ ​or​ ​deny​ ​an​ ​application​ ​cannot​ ​be based​ ​on​ ​the​ ​applicant’s​ ​ethnicity.​ ​Is​ ​there​ ​a​ ​statistically​ ​significant​ ​difference​ ​in​ ​how​ ​credit​ ​is granted​ ​between​ ​ethnicities​ ​that​ ​could​ ​indicate​ ​bias​ ​or​ ​discrimination?​ ​Contrarily,​ ​could​ ​the difference​ ​indicate​ ​a​ ​business​ ​opportunity?

This​ ​file​ ​concerns​ ​credit​ ​card​ ​applications.​ ​All​ ​attribute​ ​names​ ​and​ ​values​ ​have​ ​been​ ​changed​ ​to​ ​meaningless symbols​ ​to​ ​protect​ ​confidentiality​ ​of​ ​the​ ​data.

This​ ​dataset​ ​is​ ​interesting​ ​because​ ​there​ ​is​ ​a​ ​good​ ​mix​ ​of​ ​attributes​ ​--​ ​continuous,​ ​nominal​ ​with​ ​small​ ​numbers​ ​of values,​ ​and​ ​nominal​ ​with​ ​larger​ ​numbers​ ​of​ ​values.​ ​There​ ​are​ ​also​ ​a​ ​few​ ​missing​ ​values.

There are 6 numerical and 8 categorical attributes. The labels have been changed for the convenience of the statistical algorithms. For example, attribute 4 originally had 3 labels p,g,gg and these have been changed to labels 1,2,3.

• A1: 0,1 CATEGORICAL (formerly: a,b)
• A2: continuous.
• A3: continuous.
• A4: 1,2,3 CATEGORICAL (formerly: p,g,gg)
• A5: 1, 2,3,4,5, 6,7,8,9,10,11,12,13,14 CATEGORICAL (formerly: ff,d,i,k,j,aa,m,c,w, e, q, r,cc, x)
• A6: 1, 2,3, 4,5,6,7,8,9 CATEGORICAL (formerly: ff,dd,j,bb,v,n,o,h,z)
• A7: continuous.
• A8: 1, 0 CATEGORICAL (formerly: t, f)
• A9: 1, 0 CATEGORICAL (formerly: t, f)
• A10: continuous.
• A11: 1, 0 CATEGORICAL (formerly t, f)
• A12: 1, 2, 3 CATEGORICAL (formerly: s, g, p)
• A13: continuous.
• A14: continuous.
• A15: 1,2 class attribute (formerly: +,-)