Error: Decision Trees Found No Splits For Model

Jan 5, 2007

Hi,

I am trying to run one of the mining models from the book "Delivering BI using SQl Server 2005" but I am running into "Decision Trees found no splits for model". The mining structure has 4 columns, the fourth one being marked as "Predict Only". My Cube slice for the model has sufficient data in the cube. I am lost.. Help!!

Regards

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Data Mining :: Informational (Data Mining) - Decision Trees Found No Splits For Model

Sep 29, 2015

I followed the tutorial posted at [URL] ...

Everything was ok until the last step where I had to process the mining structure which resulted in a warning

"Informational (Data mining): Decision Trees found no splits for model, Tbl Decision Tree Example."

What does this error mean? How do I resolve it? Also, I only see the first level in the Mining Model Viewer, I don't see the levels 2 and 3.

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'Decision Trees Found No Appropriate Regressors For Model' Question

Dec 7, 2006

Hi,

I am using MS Decision Trees algorithm and for a specific model i get the above warning.As a result of that i dont get any splits in my tree. Is there anything i can do to avoid this?

Thank you for reading

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Decision Trees

Nov 6, 2006

I am studying the behavior of 200.000 clients. With the use of decision trees I would like to know if my clients will abandon our service or not. I use a training set of 21.822 clients and I use a predict variable "aband" wich is a discrete variable and it can be 0 or 1. In my training set i have 21.597 cases in which aband is 0 and 255 cases in which aband is 1. Looking at the classification matrix obtained using as input table a testing set (unselected data) I can see that my decision tree doesn't recognize the cases in which aband is 1. Here is the Classification Matrix:
Counts for Dati Training on [Aband]
Predicted 0 (Actual) 1 (Actual)
0 21597 225
1 0 0

What should I do?

Chiara

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Decision Trees, DMX And CONTAINS (T-SQL)

May 18, 2006

I would appreciate answers to the following doubts I have regarding Decision trees, CONTAINS and using CONTAINS in a DMX query:

1. Does MS decision tree work only off equality/inequality conditions for the nodes? Is it possible to use a predicate as the branch criteria for a node?

2. Can the T-SQL predicate CONTAINS(...) be used in a DMX query? I need to check if a column-value is a substring of another column and create an intermediate column that will enable me to construct a decision tree with the phrase-present/absent branch.

3. Can CONTAINS(...) be used in a select clause? Like -

SELECT CONTAINS(JAT.column1, '"Good day"')

FROM JustAnotherTable;

4. Does CONTAINS(...) support both arguments to be column references? Or, is it mandatory that the pattern (argument #2) has to be a literal string or a variable? E.g.: I need to know the validity of the following expression -

SELECT * FROM JustAnotherTable JAT

WHERE CONTAINS(JAT.column1, JAT.column3);

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MS Decision Trees Question

Aug 3, 2007

Hi,

I'm new to data mining, and have created an MS decision trees model. The model has the columns age, call outcome, call reason, country name, employee name and gender - all as inputs.

In the mining model viewer, I only get nodes for the age, despite having data for all the other columns.

Can anyone help?

Thanks
Jeremy

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Decision Trees Parameters

Dec 8, 2007



Hi,

I'm interested in understanding how the parametes work in the MS Decision Trees algorithm.

As far as I can tell, the MINIMUM_SUPPORT and COMPLEXITY_PENALTY parameters both control the number of splits and hence the depth of the tree.

Unfortunately the BOL descriptions are very brief - so can anyone tell me the difference between these 2 parameters?

Thanks
Jeremy

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Calculating R-Squared From Decision Trees

Mar 19, 2007

Hello.

I am trying to build a decision tree to predict prices. I have created the tree and looked at the lift charts, but I have not seen any of the traditional statistics I am used to from other programs (R-Squared, F statistics, etc.).

Does anyone have an example of how they calculated R-Squared for a decision tree on a continuous variable?

Thanks,
Brian

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Predict Probability In Decision Trees

Dec 13, 2006

Hello,

I installed the bike buyer example and i am learning the DMX language. Now i wrote the following query (using MS decision trees):

SELECT
T.[Last Name],
[Bike Buyer],
PredictProbability(Predict([Bike Buyer])) AS [Probability]
From
[v Target Mail]
PREDICTION JOIN
OPENQUERY
(....... And so on..)

Now the result is surprising to me. In the resulttabel all the probabilities are equal.

Bike Buyer Probability
1 0.99994590500919611
0 0.99994590500919611
0 0.99994590500919611
0 0.99994590500919611
0 0.99994590500919611
1 0.99994590500919611

and so on.

Now i am wondering what predictProbability means. I thought that PredictProbability meant the probability that the prediction is correct. Now all the probabilities are the same and the input is different. Can somebody tell me what PredictProbability means or am I using it wrong?

Thanx in advance,

Joris Valkonet

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Forcing A Branch With Decision Trees

Sep 12, 2007



In a decision tree algorithm, is there a known way to force a branch at a top level? For exmaple, I have 30 known decision patterns that are going to be completely different and I don't want them to intermingle. I wanted to force a branch at the top node on one of the 30 patterns so I wouldn't have to create 30 mining models per client.

Brian

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Question About Decision Trees And Neural Networks

May 9, 2006

I have some accounting data, with some transaction attributes and amounts.
I'm using Decision Trees to try and predict the next month's amount for certain combinations of attributes.

I've tried two different structures for the model:

A: one with 9 discrete text input attributes.
B: And another with the same 9 attributes + a avarage Amount for all combinations of the nine attribute for every transaction.


When i've processed them and look in the dependency network, it says that the strongest link for the structure A is attribute "1".
And for the second its the avarage-Amount attribute.
Okey, that seems fine, but the second strongest link in structure B is attribute "2".

Shouldn't it be attribute 1 like in structure A?



Second question, if I run the same data in a Neural Network model, the prediction becomes much worst then the decision tree.
I get many predictions that are negative values even though all training data contains positiv values.
The StDev becomes the same for every row also..
What am I doing wrong with that one. I have alot of transactions and a read somewhere that a Neural Network should work better than a decision tree in a case similar to mine.
The score in the "Lift chart" for the Neural Network model becomes 0,00 and for Decision Trees with the same data I get around 110.

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Decision Trees, How Is Prediction Probability Calculated?

Jul 26, 2007

How is the value of Prediction Probability calculated in the context of decision trees?

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Data Mining In 2005 - Same Input Columns Resulting In Different Decision Trees

Dec 12, 2007

While recently working with several mining models, I came across something that struck me as pretty odd - and I'm hoping to find an explanation for the behavior.

Consider the following setup:


A single table in the relational database represents the only case table
A single, continuous column is the predictable
A mining structure has been created

The mining structure contains a single model, based on the MS Decision Trees algorithm
Input columns were selected for the model via the BI Studio wizard (i.e., those provided via the "Suggest" button)
The structure has been fully processed
Now, the interesting parts:


I view the scatterplot for the mining model, under the Mining Accuracy Chart tab
Back on the Mining Structure tab, I delete one of the input columns
I add the same column back into the structure
The structure is fully processed again
When I view the scatterplot for the mining model, under the Mining Accuracy Chart tab, a different set of data points are presented for the model predictions
A different set of decision trees under the Mining Model Viewer tab confirms thisHow could different patterns have been found this second time around, even though all of the input columns were the same (as well as the training cases)?

(Note: I encountered this situation while creating a new mining model that was identical to an existing one. Even though the models received the exact same inputs and training cases, they yielded different results. I was able to reproduce the behavior by using steps 1-6 above, though.)

Can someone provide some insight on this behavior, or some kind of explanation of what may be happening?


Thanks,
Joe Miller

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Data Mining Model Viewer Of Decision Tree Out Of Memory Error

May 18, 2007

We've successfully processed a large decision tree model in SQL Server 2005. When I try to view the tree in the mining model viewer, I get the following error:



TITLE: Microsoft Visual Studio
------------------------------

The tree graph cannot be created because of the following error:

'Exception of type 'System.OutOfMemoryException' was thrown.'.

For help, click: http://go.microsoft.com/fwlink?ProdName=Microsoft%u00ae+Visual+Studio%u00ae+2005&ProdVer=8.0.50727.42&EvtSrc=Microsoft.AnalysisServices.Viewers.SR&EvtID=ErrorCreateGraphFailed&LinkId=20476


The link provides no other documentaiton on the error.



We're using 64-bit SQL on a Dell Workstation running XP-64 with 16GB of memory. From my view of things we aren't close to running out of memory. Since the model processed and the error occurs when viewing the model, is this a problem with Visual Studio and nont necessarily Anlaysis Services?



Thanks in advance.



Nick

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Error Not Enough Space For Temporal Database When Processing Decision Tree Model

Sep 4, 2007

Hello,
I have a table (in Access) with about 30 fields and 1,700,000 records.
I had created a mining model in AS2005 with only one key (the autonum column called ID)
and other attributes marked as Input and/or predict.
When processing the model, it finish (after 15 min.) with an error: 3183
"Not enough space in temporal disk"
After some search , I encountered that is close related to the memory asigned to the tempdb.
I tried to increase the size of tempdb but it is imposible, moreover, it starts
with 8MB but it is autosized when needed.

I don't know how to solve this issue. Or, if it is a question of memory/disk space management (I have 100GB of free space in disk).

I tried the same model changing the KEY (I assign StudyID as key) then with the same data but 60,000 StudyIDs it is ok, so the mining model is ok (no nested tables, no case, too easy for getting a memory error)...

Please, can anyone recommend a possible solution for this issue?.
Many Thanks.

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Getting The Model's (Decision Tree) PMML

Feb 19, 2007

Hi

Can anyone tell me the steps involved in retrieving a model's (decision tree) pmml and use the model content to devleop a web based interface. I am using SQL Server 2005.

Thanks,

Nathan



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Interpreting The Percentage In Decision-tree Model

Sep 15, 2006

Hi,

I used a decision-tree mining-model to describe and predict fraud. The table contains 1039 records with 775 distinct value of A-number (the calling party). I used 9 columns in the model. SQL Server reports that only 3 columns are significant in predicting the fraud

- BPN_is_too_short (called party-number is too short)
- Duration_is_zero
- Invalid_area_code

The key-column in A-number, and the predicted column is Is_Fraud with the range of values are only 0 and 1. There's no record with NULL (missing-value) in the column Is_Fraud.

Mining Legend shows in the first split
[-] 625 cases of fraud
[-] 150 cases of non-fraud
[-] 0 cases of missing

In addition to that, Mining Legend shows
[-] 79.69% of fraud
[-] 19.64% of non-fraud
[-] 0.67% Missing

Now when I compare those values, they don't match.
(A) 625/775 is 80.645%, not 79.69%
(B) 150/775 is 19.355%, not 19.64%
(C) 0 cases of NULL (missing value) should imply 0% of missing, not 0.67% of missing

Furthermore in one node (with the split on duration_is_zero), there are 541 cases of fraud and 0 cases of non-fraud. This implies the node is leaf-node. However, Mining Legend shows

514 cases of fraud, 99.35%

0 cases of non-fraud, 0.33%

[F] 0 cases of missing, 0.33%


My questions
(1) Why the values don't match like in cases A through C ?
(2) Why the values don't match even in cases D through F when we have no subtree at all ?

I've searched explanation by reading the mathematical reasoning, entropy, Gini index; but it does not answer the discrepancies of those values and percentages in the Mining Legend.

Regards,

Bernaridho

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Error When Processing Decision Tree

Jan 9, 2008

Hi,

I'm using SQL Server 2005 Standard Edition, and when I try to process a Decision Tree with more or less 50 input variables I get the following warning:


"Informational (Data mining): Automatic feature selection has been applied to model, TREE_2 due to the large number of attributes. Set MAXIMUM_INPUT_ATTRIBUTES and/or MAXIMUM_OUTPUT_ATTRIBUTES to increase the number of attributes considered by the algorithm."

I've tried to set MAXIMUM_INPUT_ATTRIBUTES to 10 and then there's an error saying: "The 'MAXIMUM_INPUT_ATTRIBUTES' data mining parameter is not valid for the 'TREE_2' model."


Does anyone have a clue of how can I solve it?


Thank you.

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The Connection Is Not Found. This Error Is Thrown By Connections Collection When The Specific Connection Element Is Not Found

May 1, 2007

I've got a package which reads a text file into a table and updates another. I set up configurations so that I could import it into the SSIS store on both my dev and live servers. Now, I'm getting this error. I tried removing the configs and am still getting it.

I've been through each step and everything looks okay. Does anyone have any idea (a) what's wrong, (b) how to localise the error or (c) get any additional information? Or do I just have to recreate the package from scratch?



TITLE: Package Validation Error
------------------------------

Package Validation Error

------------------------------
ADDITIONAL INFORMATION:

Error at PartnerLinkFlatFileImporter: The connection "" is not found. This error is thrown by Connections collection when the specific connection element is not found.

Error at PartnerLinkFlatFileImporter [Log provider "SSIS log provider for SQL Server"]: The connection manager "" is not found. A component failed to find the connection manager in the Connections collection.

(Microsoft.DataTransformationServices.VsIntegration)

------------------------------
BUTTONS:

OK
------------------------------

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Jan 22, 2008

Hi,I have setup a report model and am ready to deploy it for the first time. I have had no issues deploying my report definitions so presumably this should be alright.However, trying to deploy it gives this error:

TITLE: Microsoft Semantic Model Designer
------------------------------

A connection could not be made to the report server http://localhost/ReportServer.

------------------------------
ADDITIONAL INFORMATION:

Client found response content type of 'text/html; charset=utf-8', but expected 'text/xml'.
The request failed with the error message:
--
<html>
<head>
<title>
SQL Server Reporting Services
</title><meta name="Generator" content="Microsoft SQL Server Reporting Services 9.00.1399.00" />
<meta name="HTTP Status" content="500" />
<meta name="ProductLocaleID" content="9" />
<meta name="CountryLocaleID" content="1033" />
<meta name="StackTrace" content=" at Microsoft.ReportingServices.Diagnostics.RSConfiguration.Load()
at Microsoft.ReportingServices.Diagnostics.RSConfiguration.Construct(String configFileName)
at Microsoft.ReportingServices.Diagnostics.RSConfiguration..ctor(String configFileName, String location)
at Microsoft.ReportingServices.Diagnostics.RSConfigurationManager..ctor(String configFileName, String configLocation)
at Microsoft.ReportingServices.Library.Global.get_ConfigurationManager()
at Microsoft.ReportingServices.WebServer.Global.StartApp()
at Microsoft.ReportingServices.WebServer.Global.Application_BeginRequest(Object sender, EventArgs e)" />
<style>
BODY {FONT-FAMILY:Verdana; FONT-WEIGHT:normal; FONT-SIZE: 8pt; COLOR:black}
H1 {FONT-FAMILY:Verdana; FONT-WEIGHT:700; FONT-SIZE:15pt}
LI {FONT-FAMILY:Verdana; FONT-WEIGHT:normal; FONT-SIZE:8pt; DISPLAY:inline}
.ProductInfo {FONT-FAMILY:Verdana; FONT-WEIGHT:bold; FONT-SIZE: 8pt; COLOR:gray}
A:link {FONT-SIZE: 8pt; FONT-FAMILY:Verdana; COLOR3366CC; TEXT-DECORATION:none}
A:hover {FONT-SIZE: 8pt; FONT-FAMILY:Verdana; COLORFF3300; TEXT-DECORATION:underline}
A:visited {FONT-SIZE: 8pt; FONT-FAMILY:Verdana; COLOR3366CC; TEXT-DECORATION:none}
A:visited:hover {FONT-SIZE: 8pt; FONT-FAMILY:Verdana; colorFF3300; TEXT-DECORATION:underline}

</style>
</head><body bgcolor="white">
<h1>
Reporting Services Error<hr width="100%" size="1" color="silver" />
</h1><ul>
<li>The report server has encountered a configuration error. See the report server log files for more information. (rsServerConfigurationError) </li><ul>
<li>Access to the path 'C:Program FilesMicrosoft SQL ServerMSSQL.3Reporting ServicesReportServerRSReportServer.config' is denied.</li>
</ul>
</ul><hr width="100%" size="1" color="silver" /><span class="ProductInfo">SQL Server Reporting Services</span>
</body>
</html>
--. (Microsoft.ReportingServices.SemanticQueryDesign)

I'd greatly appreciate any insight you could give me into fixing this problem.ThanksJohn

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Dec 5, 2005

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I get a similar error when I try to load the Load Mining Accuracy Chart

Failed to execute the query due to the following error:

Query (1, 6) The '[System].[Microsoft].[AnalysisServices].[System].[DataMining].[AllOther].[GenerateLiftTableUsingDatasource]' function does not exist.

I have OWC 11 installed. What am I missing here?

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Code Snippet

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Jun 20, 2007

Hi there



I have recently installed a new server for a client running SBS2003 R2 with SQLServer 2005.



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It reads in the description



c:datalawsqldatadata41_Data.MDF:MSSQL_DBCC6:

Operating system error 112(error not found) encountered.



Looking in the error log I see :



Configuration option 'user options' changed from 0 to 0. Run the RECONFIGURE statement to install.

Error: 17053, Severity: 16, State: 1.

C:DataLAWsqldatadata41_Data.MDF:MSSQL_DBCC6: Operating system error 112(error not found) encountered.

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Hi,

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