Why There Is No Random Guess Line Appeared In The Lift Chart?

May 3, 2007

Hi, all here,

Why the lift chart for my mining models evaluation does not have a random guess model line there? As normal, there should be lines like trained models, ideal model, and random guess model? Why is that? What did I miss? Could any experts here shed me any light on that.

Thanks a lot in advance for your advices and help and I am looking forward to hearing from you shortly.

With best regards,

Yours sincerely,

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How Get The Lift Chart In Datamining.i Am Not Geeting Mining Accuracy Chart And Mining Model Prediction

Sep 14, 2007



Hi,
I am not getting Mining Accuracy Chart and Min ing Model Prediction
Plz tel me how to do.And how to use the filter input data used to generate the lift chart and
select predictable mining model columns to show in the lift chart

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I tried to create a lift chart with my custom plugin-algorithmn. The chart seems to be correct, but before it is drawn, an error occours:


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What did I do wrong?

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Hi,


I am having trouble really understanding what makes a model accurate and effective at predicting some attribute. I can't seem to find any clear documentation about the mining legend of the lift chart on the Mining Accuracy Chart tab when working with the Data Mining Structure designer in VS 2005. Specifically, I would like to know more about what numbers in the Score, Population Correct and Predict Probability columns mean, and why they change when you move the vertical gray bar on the Lift Chart. Also, what is generally a good score to be aiming for, provided that it is highly difficult to get 100% accuracy with the kind of data that I am using.

Any more information on this subject is much appreciated. Thank you for your time,

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Jan 4, 2007

Hello--

We're running into an issue where analysts are having problems obtaining lift charts (via the Mining Accuracy Chart UI available in the Visual Studio Analysis Services project) and performing prediction (via the Mining Model Prediction UI).

The issue seems to be related to the underlying analyst security model. Note that this post is related to:

http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=924641&SiteID=1


Analysts that work on the same problem will only have access to:

- A sandbox relational database (which contains views into the same source database). The analyst is db_owner of the sandbox database, so she/he can create data transformations required, etc. The sandbox database contains views to the source database, but the analyst only has read-access to the specific data elements needed from the source DB. So, they are very restricted w.r.t. the source database, but are db_owners of their sandbox relational databases. Note that the analyst will connect to he database via Windows Authentication.

- An Analysis Services sandbox database to use for their modeling, etc. In this AS sandbox db, we've created a role called "Administrator" and checked the permissions: Full control (Administrator), Process database, and Read definition. The analyst's windows account is the "user" associated with this role.

Also, in this situation, the SQL Server 2005 Relational Engine and Analysis Services are running on a single machine. The goal of this security model is to provide analysts with the ability to work in their "workspaces" (both SQL and AS), but not to see other analysts work, etc.

Under this model, Analysts are able to deploy mining models when the Data Source object that points to their relational "sandbox" DB is set-up with "Impersonation Information" = "Use a specific user name and password", where the Analyst provides their domain account information.

But, when trying to build a lift chart using the same data source view objects that were used to successfully train the model, the following error is occurring consistently:

Window Title: "Loading Mining Accuracy Chart"
Window Text: "Failed to execute the query due to the following error: Execution of the managed stored rocedure GenerateLiftTableUsingDatasource failed with the following error: Exception has been thrown by the target of invocation. Either '<domain><login>' user does not have permission to access the '' object, or the object does not exist. Errors in the high-level relational engine. A connection could not be made to the data source specified in the query. Errors in the high-level relational engine. A connection could not be made to the data source specified in the query.."

Since the Analyst was able to build the model with her/his given '<domain><login>' credentials, it is puzzling why the lift chart is failing.

Thanks in advance for your help,
- Paul

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Jun 4, 2006

Hello . Because of my graduation project , I interested in data mining application , Adventureworks DW on MS VS 2005 . I opened File->Open->project/solution ->Enterprise -> AdventureworksDW .then I successfully deployed the algorithms decision tree and Clustering . Then I opened tab Mining Accuracy Chart then selected input table "testing" , which I had created before ,  from vTargetMail . After that , mining structure table and target mail table has automaticaly linked each other .Next , I selected predictive input as 1 , of the predictable row "BikeBuyer" . But , when I clicked "Lift Chart ", I only got a 45 degree line , everytime .. How can I fix it ?

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Nov 24, 2006

Greetings,



I have a mining structure that I am using to perform a text-mining
classification task. The mining structure contains three models: a
decision tree, a naive bayes and a neural network.


Both the decision tree and the naive bayes models process without
any problems, but I am having significant difficulties with the neural
network model.


Initially when I processed the model, processing would fail altogether with the following error message:



"Memory error: Allocation failure : Not enough storage is available to process this command"



This was remedied by taking the steps prescribed in
http://support.microsoft.com/kb/917885 (I upgraded to SQL 2005 SP1 and
applied all available hotfixes listed in
http://support.microsoft.com/kb/918222/). This got me to the point
where the model (seemingly) processed correctly after restricting the
MAXIMUM_INPUT_ATTRIBUTES to a relatively low number. So after
processing, I went to try and browse the neural network model and view
the lift chart...



<error>

"Execution of the managed stored procedure GetAttributeScores
failed with the following error: Exception has been thrown by the
target of an invocation.Input string was not in a correct format.."

</error>



(see http://forums.microsoft.com/TechNet/ShowPost.aspx?PostID=935340&SiteID=17)



Also when I would attempt to view the lift chart and the
classification matrix the queries would time out with the following
error message:



<error>

XML for Analysis parser: The XML for Analysis request timed out before it was completed.

Execution of the managed stored procedure
GenerateLiftTableUsingDatasource failed with the following error:
Exception has been thrown by the target of an
invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.

</error>



Now, my poking around on Technet lead me to believe that this issue
could finally be resolved by uprading to the CTP release of SQL server
2005 SP2. Now I am still encountering problems. When I go to browse the
model in the Neural Network Viewer, I see the correct drop down menus
to select attributes and attribute values in the "Input" and "Output"
panes but I see no data displayed in the "Variables" pane at the
bottom.


Interestingly, while I cannot view the model contents in the
graphical viewer, the mining model contents viewer reveals model
contents that look to be pretty normal for a trained neural network.



Attempts to view the lift chart time out with the error message:



<error>

XML for Analysis parser: The XML for Analysis request timed out before it was completed.

Execution of the managed stored procedure
GenerateLiftTableUsingDatasource failed with the following error:
Exception has been thrown by the target of an
invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.

</error>



and when I run predictions against the trained NN model in the
"Mining Model Prediction" pane it predicts the same value for every
case in the testing set.



Any thoughts?

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Hi,I am studying data mining features of SSAS and for a workshop I'vecreated 2 views derived from vTargetMail view of AdventureWorksDW.Train data consists every record except those in Pacific, and testview consists only records from Pacific area.1. I've created a mining structure based on Decision Tree and selectedBikeBuyer 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.I can get training results in decision tree browser and dependencynetwork (and both seem to give rather logical results) however, when Itry to browse lift chart or classification matrix I get an emptyclass.matr. and a lift chart of a single 45 degree line.Am I missing a step, or must I do some fine-tuning on (what)parameters?Thanks...

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Broken Lift Chart And Empty Classification Matrix In Data Mining

Sep 5, 2007

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 Decision Tree 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.



I can get training results in decision tree browser and dependency
network (and both seem to give rather logical results) however, when I
try to browse lift chart or classification matrix I get an empty
class.matr. and a lift chart of a single 45 degree line.



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

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May 3, 2007

Hi, all experts here,

I am a bit confused for the model evaluation (lift chart), should we map all the columns for both the mining structure and the case table? I mean for those predictive models, we have a predict column, shouldnt we ignore the mapping of the predictive column between the mining structure and the case table? But it seemes we are not allowed to miss the predictive column mapping between the mining structure and the case table.

Why is that? Could any experts here give me some explanation on that?

Hope my question is clear for your help.

Thanks a lot and I am looking forward to hearing from you shortly.

With best regards,

Yours sincerely,

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Hi,
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The Lift Chart/Mining Legend in Analysis Services shows three results €“ Score, Population Correct (%), and Predict Probability (%)

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Model Score Pop Correct Pred Probability
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Ideal Model 100.00%


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Many thanks,
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