Showing posts with label credit. Show all posts
Showing posts with label credit. Show all posts

Monday, March 26, 2012

Microsoft Responds To Serious Credibility Issues...

I think Microsoft really deserves credit for responding to questions
regarding the company's ability to produce secure and robust versions of SQL
Server 2005 and Visual Studio 2005.
Microsoft's representatives respond [1].
<%= Clinton Gallagher
METROmilwaukee (sm) "A Regional Information Service"
NET csgallagher AT metromilwaukee.com
URL http://metromilwaukee.com/
URL http://clintongallagher.metromilwaukee.com/
[1] http://www.escapeyesterworld.com/yes
MS does respond to queries and suggestions.
they also try to implement certain features, based on user's feedback
best Regards,
Chandra
http://www.SQLResource.com/
http://chanduas.blogspot.com/
---
*** Sent via Developersdex http://www.examnotes.net ***|||One time, at band camp...|||Most server and application security issues could be solved if people would
just learn to RTFM.
"clintonG" < csgallagher@.REMOVETHISTEXTmetromilwaukee
.com> wrote in message
news:eNeF4%23dnFHA.1148@.TK2MSFTNGP12.phx.gbl...
>I think Microsoft really deserves credit for responding to questions
>regarding the company's ability to produce secure and robust versions of
>SQL Server 2005 and Visual Studio 2005.
> Microsoft's representatives respond [1].
> <%= Clinton Gallagher
> METROmilwaukee (sm) "A Regional Information Service"
> NET csgallagher AT metromilwaukee.com
> URL http://metromilwaukee.com/
> URL http://clintongallagher.metromilwaukee.com/
> [1] http://www.escapeyesterworld.com/
>

Wednesday, March 21, 2012

Microsoft decision tree

I have an example case below :

Customer Id

Debt Level

Income Level

Employment Type

Credit Risk

1

High

High

Self-Employed

Bad

2

High

High

Salaried

Bad

3

High

Low

Salaried

Bad

4

Low

Low

Salaried

Good

5

Low

Low

Self-Emplyed

Bad

6

Low

High

Self-Employed

Good

7

Low

High

Salaried

Good

My question is how to make a tree from the case above I mean what method we should use to split the tree. (Mannually counting)

I hope anyone could help me by explaining i details.Because i want to make some analysis how microsoft decision tree works exactly.So Please explain me the process to build the tree completely with the method.

Thanks a lot.

Please clarify your question. I'm not sure what you are asking for- you want the equations used to determine a split?|||I'm so sorry because of confusing question. Yes what i mean is equations used to determine a split. Would you explain it detail for me? Because i 've made a thesis about microsoft decision tree analysis so i need to know how microsoft decision tree work exactly.
thank you so much|||

This article explains how the Microsoft Decision Tree algorithm works at a high level and also points to the relevant research papers that the implementation is based on: http://msdn2.microsoft.com/en-us/library/ms175312(SQL.90,d=ide).aspx