Posted by ist on 09/05/07 09:56

Hi,
I am studying data mining features of SSAS and for a workshop I've
created 2 views derived from vTargetMail view of AdventureWorksDW.
Train data consists every record except those in Pacific, and test
view consists only records from Pacific area.

1. I've created a mining structure based on N.Bayes alg. and selected
BikeBuyer as predictable column.
2. According to input column suggestions, I've selected Age,
Eng.Education, NumberCarsOwned, YearlyIncome, CommuteDistance,
NumberChildsatHome and TotalChildren as input columns
3. I've modified no other setting, and deployed project.


However all I get is a dependency network with a single predict
column, empty attribute prof./char./disc. tables, an empty
classification matrix and a lift chart with only 45 degree line.


Am I missing a step, or must I do some fine-tuning on (what)
parameters?


Thanks...

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