Decision Trees

Does ODM support Decision Trees.
If support, which algorithms.
Thank you.

We currently do not support classical decision trees. We do support something called Adaptive Bayes Networks that are "similar" in that they can produce "rules" that provide some level of model transparancy. There is a technical white paper on ABN here http://otn.oracle.com/products/bi/pdf/adaptive_bayes_net.pdf

Similar Messages

  • How to create a decision tree in ABAP (in SAP or not, and how????)

    Hello,
    I have to create a decision tree which has to be called within a BAPI.
    This tree finally has to return 1 single value.
    Can you tell me what's the best solution for this ?
    Should I do this with abap, or should I call a webapplication which provides this tree for me ?
    It would be great if you could provide some example-code for me.
    Kind regards,
    Gert-Jan

    I am not sure I understood what you meant by decision tree. If you are simply talking about arriving at an answer based on one or more inputs, then it is a simple IF ELSEIF ELSE statements or CASE statements.
    Can you please elaborate/give example of what you mean by decision tree?

  • Problem in Exploring the Decision Tree Model on Lesson 4 Basic Data Mining SSAS

    Hello everyone,
    I've tried to follow all the steps mentioned in Basic Data Mining Tutorials, but I've an odd problem in the Lesson 4 - Exploring the Decision Tree Model (http://technet.microsoft.com/en-us/library/cc879269.aspx).
    It's stated that "As you view the TM_Decision_Tree model
    in the Decision Tree viewer, you can see the most important attributes at the left side of the chart. “Most important” means that these attributes have the greatest influence on the outcome. Attributes further down the tree (to the right of the chart) have
    less of an effect. In this example, age is the single most important factor in predicting bike buying. The model
    groups customers by age, and then shows the next more important attribute for each age group. For example, in the group of customers aged 34 to 40, the number of cars owned is the strongest predictor after age."
    But, I got a different result from what mentioned in the tutorial. I got the number of cars owned as the most important attribute, then followed by the attribute age.
    Do you guys know why?
    Thanks in advance

    HI,
    BEGIN
       INSERT INTO DT_CA_SETTINGS_TEST (SETTING_NAME, SETTING_VALUE) VALUES
       (dbms_data_mining.TREE_TERM_MINPCT_NODE,to_char(1));
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    Now Execute.
    Cheers..

  • Regenerate decision tree for transfering to unicode system.

    Hello,
    We upgraded the system to a unicode system and we're getting runtime errors using PB infotypes (pb20/pb30) for the
    generated forums in the decision tree.
    The error thrown is unicode compatability, If I make a "false" change in a certain decision tree for a field, the form is regenerated and It works.
    The problem is , that I have over 200 fields for decision trees, and I need them all regenerated.
    Someone gave me report "RPUMKG00" as a solution (activation type 1), but It does not regenerate the forms in a unicode mode.
    does anybody have any ideas?
    thanks.

    Hello,
    We upgraded the system to a unicode system and we're getting runtime errors using PB infotypes (pb20/pb30) for the
    generated forums in the decision tree.
    The error thrown is unicode compatability, If I make a "false" change in a certain decision tree for a field, the form is regenerated and It works.
    The problem is , that I have over 200 fields for decision trees, and I need them all regenerated.
    Someone gave me report "RPUMKG00" as a solution (activation type 1), but It does not regenerate the forms in a unicode mode.
    does anybody have any ideas?
    thanks.

  • Training Decision Tree: Get RSDME362

    Hi,
    I want to train my decision tree modell and get an error: RSDME362, Vorhers. Modellf. hat nur einen Wert.Daten können nicht trainiert werden.
    If I look at the statistics of the attribute which will be predicted it has two distinct values: 1.000 and 0.000.
    Does anybody knows what could be wrong??
    Thanks,
    regards

    Hi,
    I found the problem: the algorithm couldn't process values with 0. So we changed it to 1 (=yes) and 2 (=no) instead of 0 (no).
    Regards

  • What is a Decision Tree Algorithm?

    hi there,
    what is a decision tree algorithm??

    Hi,
    Decision trees are used to learn from historic data and to make predictions about the future. Prediction involves establishing rules using historic data and applying these rules to new data. These rules are displayed graphically as a hierarchy.
    Ex : Your customer data typically contains attributes such as gender, age, income, region, and occupation as well as information about whether a customer is a satisfied customer or not (possibly drawn from a survey). You can use such historic data to train a decision tree. You find out as a result that customers exhibiting certain attributes are generally satisfied customers while customers exhibiting other attributes tend to be dissatisfied customers. You can use rules determined in this way to assess the satisfaction of other customers in cases where this information is not available.
    Integration :
    The data that you use to train the model can be taken from any other system, provided that the system can extract data into SAP BW. Similarly, you can apply the identified rules to any data that has been extracted into SAP BW. In SAP BW, you can use queries to access data with known statements and then use this data to find out statements about other data.
    Regards
    Ram.

  • In cloud for service, is there a way to generate RMA's and decision trees?

    Also, where can I find more information on the field service capabilites?

    Yes it is supported via HCI configuration. C4Service provides a standard iFlow that creates a follow-up SD Order (Billing Request) from a C4Service Work Ticket. You can easily reconfigure the iFlow using HCI tools to create a SD Return Order instead of a SD Billing Request. This would then allow you to easily configure the C4Service work ticket to be a RMA capture form so that an end user can capture the products/parts as items for the SD Return Order (RMA). The end user can then release the Work Ticket to ERP which would create the RMA and ERP would take over the RMA process.
    As for the decision tree, this is supported using dynamic checklists and surveys for tickets. You can configure a dynamic survey/checklist that can have a series of questions that based on questions answered in the previous step can have different follow-up questions. These surveys/checklists can instruct the end user through a series of questions to help them diagnose a problem to ultimately instruct the end user to release the work ticket to SD for a Return Order (RMA).

  • How to find optimal multi splits for numerical attributes in Decision Tree

    Hi experts,
    I would like to know how to find optimal multi splits for numerical attributes
    in Decision Tree Learning.
    For splitting categorical attributes, gini and gain index are used and the splits that
    produce the best gain are selected.
    However, in case of numerical attributes
    how do you find the best splits?????
    Please help me !!

    Yordan's suggestion is correct, though the documentation is a bit outdated.
    You can use the single parameter + sweeper mode or define your own custom ranges in the BDT module with the Parameter Range setting
    Regards,
    aK

  • Decision Trees with ODM 10.1

    Hi all,
    Does anybody know how to use DTs with ODM R1?. Maybe with the ABN model?.
    Any hint or recommendation to start with this?
    Thanks in advance!

    In ODM 10.1 you can get a type of decision tree using ODM in single feature mode. Unlike a traditional decision tree algorithm (e.g., CART), this type of ABM model creates a tree that, for a given level of the tree, it splits all the nodes along the same attribute. This ABN approach has the advantage of being more robust than traditional decision tree models. However, it works better (more accuracy and deeper trees) if the data set has a large number of rows.
    -Marcos

  • CSTVI decision tree

    Hi All,
                can any1 plz help me how to create CSTVI decision tree.
       Is it compulsory to create CSTVI, CRDVI,COVGR,EECGR decision trees&  why do we create them?
    Thanks,
    satya

    1. You can read more about the algorithm at
    http://technet.microsoft.com/en-us/library/ms175312.aspx ,
    http://technet.microsoft.com/en-us/library/cc645868.aspx
    2. You don't need to write code to use algorithms from SQL Server. If you are just getting started, I recommend you to use Excel Data Mining Add-ins to create the models
    http://www.microsoft.com/en-us/download/details.aspx?id=35578
    If you don't have Excel, you can create models from SQL Server Development Studio, but it is more difficult to use.
    What are you trying to do?
    Tatyana Yakushev [PredixionSoftware.com]
    Download Predixion Insight 3.0 - World class predictive platform for big data

  • Classification - decision tree - build result - empty tree

    Hi,
    Using "Activity/Build" wizard (data miner beta3), selected "classification"/"decision tree", and "default" on all other screens. The "Build" looked successful. But when I selected the "Result" link under the "Build" section from the result page, it poped up a "Result Viewer" window, with a blank page (frame) under the "Tree" tab. I assume a "decision tree"should be created and viewable under the "Tree" tab. Any idea what is wrong?
    Thanks,
    Jack

    Hi Jack,
    I think this is a known bug, but can you verify that for me?
    If you launch ODMr using odminer.exe, you will also get a console window.
    Now go to the tree result and try to view it.
    See if the following exception displays in the console:
    Thanks, Mark
    java.lang.NoSuchMethodException: <unbound>=DecisionTreeActivity0.setSampledCaseT
    able(Table0);
    Continuing ...
    java.lang.NoSuchMethodException: <unbound>=DecisionTreeActivity0.setSampledInput
    DataDescriptor(ComplexDataStructure0);
    Continuing ...
    java.lang.NoSuchMethodException: <unbound>=SplitStep0.setSampledOutputDataDescri
    ptor(ComplexDataStructure1);
    Continuing ...
    java.lang.NullPointerException
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createSimplePredic
    ate(OraTreeModelDetail.java:898)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createCompoundPred
    icate(OraTreeModelDetail.java:994)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:791)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.createTreeNode(Ora
    TreeModelDetail.java:769)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.getTreeModel(OraTr
    eeModelDetail.java:649)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.getTreeModelDetail
    (OraTreeModelDetail.java:584)
    at oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail.<init>(OraTreeMode
    lDetail.java:265)
    at oracle.dmt.jdm.supervised.classification.OraClassificationModel.getMo
    delDetail(OraClassificationModel.java:251)
    at oracle.dmt.dm4j.browser.viewer.classification.DecisionTreeModelViewer
    $LoadTab.run(Unknown Source)
    at java.lang.Thread.run(Thread.java:534)
    null
    java.lang.NullPointerException
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodePredicatePanel.
    runTimePanelLoad(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodePredicatePanel.
    <init>(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodeDetailPane.show
    Tab(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodeDetailPane.load
    Viewer(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodeDetailPane.jbIn
    it(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.TreeNodeDetailPane.<ini
    t>(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.DecisionTreeSplitterPan
    el.jbInit(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.DecisionTreeSplitterPan
    el.<init>(Unknown Source)
    at oracle.dmt.dm4j.browser.viewer.classification.DecisionTreeModelViewer
    $LoadTab.run(Unknown Source)
    at java.lang.Thread.run(Thread.java:534)

  • Feature decision tree problem

    Hi all,
    When creating a node in Feature QUOMO, decision tree for country grouping, only value e.g. 40 is displayed, not text i.e. India. Also for Personnel Area, subarea, the same is happened.
    How to do that?
    Regards,
    milinds

    The feature is not getting saved or activate , error occured:
    E: Decision operation not unique because field value occurs several times
    Message no. 5P308
    I created a node for molga: 40, on 40: my Personnel area and under that sub area, on sub area , value 01 to Specify Rule Groups for Quota Type Selection
    Please help.

  • Sharepoint decision tree

    Hi all, 
    I would like to create a decision tree form in the SharePoint. The users have to select their preference scenario and depending on their answers they will take different answers. In addition, the users will direct to a specific library in the SharePoint
    to find material related to their answers. 
    Could you please tell me if there is a way to implement this idea in the SharePoint without using the SharePoint designer? 
    In addition, could you please share any information( add on features) that will help me to implement this solution?
    Thank you in advance.

    Hi Georgia,
    If you would like to redirect uses to another page after user responding to survey, then you might need coding to achieve this.
    http://msdn.microsoft.com/en-us/library/microsoft.sharepoint.utilities.sputility.redirect(v=office.15).aspx
    Regards,
    Rebecca Tu
    TechNet Community Support

  • Exporting Decision Tree Rules

    I have built the decision tree model in ODM GUI. I would like to export all the decision rules in XLS or PPT from the built model. What is the appropriate way to do this.
    Thanks,
    Avinash

    Hi Avinash,
    Add a Model Details node to the workflow and connect the Build Class node (or the Model node) to the Model Details node.
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    In your case, I think that is the Full Tree details.
    You can then right click and select View Data off of the Model Details node and then ctl-a, ctl-c and paste into spreadsheet.
    Thanks, Mark

  • Decision Tree in ODM

    The sum of number of observations from each leaf node is less than the total number of observations in my decision tree model. Am I missing something here?
    Thanks,
    Avinash

    Some rows may not reach the leaves. If there is a NULL value for the splitter attribute in a row, then the row can stop in a branch node. When predicting such a row, we will try the surrogate (if available), but if we cannot use the surrogate, then the scoring process will stop and provide the branch node as the final, predicted node. When building, the row may not follow the surrogate path as it is not available at that phase of build.

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