Hi, guys,
Thanks for your kind attention.
Just want to make things perfectly work and make the most of our fantastic SQL Server 2005 Data Mining Engine. Can any of you here give me some super advices on the validation of the mining models. As we always see, the 3 aspects of a mining model are: Score, Population correct, and Predict Probability. So the question is: How can we combine these three aspects to best judge the mining models by being able to tell which model is the best one? And to what extent can we really trust these mining models?
These are very important before we can actually bring the models into work to convince other people who have no ideas what are going on with these models. Yes, we just want to convince them with the results of these models and make the most of them and best help them getting the most from their business operations etc.
By the way please can you explain a bit details on each of these aspects? Thanks again.
I am looking forward to hearing from you shortly and thanks bunch for your help.
With best regards,
Yours sincerely,
Hi, Guys,
I am still waiting for your advices.
Thanks.
With best regards,
Yours sincerely,
|||I heard about a book "Quality Measures in Data Mining" by Fabrice Guillet and Howard J. Hamilton. It may contain some super advices.
Gigi Ciubuc
www.sqlserver.ro
|||Hi, Gigi Ciubuc,
Thanks for the imformation. Any other ideas from any other experts here as well?
Thanks.
With best regards,
Yours sincerely,
