Tree Browser - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Teradata Warehouse Miner
Release Number
February 2018
English (United States)
Last Update
Product Category
Tree Browser

When Tree Browser is selected, two frames are shown: the upper frame gives a condensed view to aid in navigating through the detailed tree in the lower frame. Set options by right-clicking on either frame to select from the following menu:
  • Small Navigation Tree — Under Small Navigation Tree, the options are:
    Tree Browser menu: Small Navigation Tree

    • Zoom — This option allows you to scale down the navigation tree so that more of it will appear within the window. A slider bar is provided so you can select from a range of new sizes while previewing the effect on the navigation tree. The slider bar can also be used to bring the navigation tree back up to a larger dimension after it has been reduced in size:
      Tree Browser menu: Zoom Tree

    • Show Extents Box/Hide Extents Box — With this option a box is drawn around the nodes in the upper frame corresponding to the nodes displayed in the lower frame. The box can be dragged and dropped over segments of the small tree, automatically positioning the identical area in the detailed tree within the lower frame. Once set, the option changes to allow hiding the box.
    • Hide Navigation Tree/Show Navigation Tree — With this option the upper frame is made to disappear (or reappear) in order to give more room to the lower frame that contains the details of the tree.
  • Show Confidence Factors/Show Targeted Confidence — The Confidence Factor is a measure of how “confident” the model is that it can predict the correct score for a record that falls into a particular leaf node based on the training data the model was built from. For example, if a leaf node contained 10 observations and 9 of them predict Buy and the other record predicts Do Not Buy, then the model built will have a confidence factor of .9, or 90% sure of predicting the right value for a record that falls into that leaf node of the model.

    Models built with a predicted variable that has only 2 outcomes can display a Targeted Confidence value rather than a confidence factor. If the outcomes were 9 Buys and 1 Do Not Buy at a particular node and if the target value was set to Buy, .9 is the targeted confidence. However if it is desired to target the Do Not Buy outcome by setting the value to Do Not Buy, then any record falling into this leaf of the tree would get a targeted confidence of .1 or 10%.

    This option also controls whether Recalculated Confidence Factors or Recalculated Targeted Confidence factors are displayed in the case when the Include validation table option is selected.

  • Node Detail — The Node Detail feature can be used to copy the entire rule set for a particular node to the Windows Clipboard for use in other applications.
  • Print
    Tree Browser menu: Print

    • Large Tree — Allows you to print the entire tree diagram. This will be printed in pages, with the total number of pages reported before they are printed. (A page will also be printed showing how the tree was mapped into individual pages). If All Pages is selected, the entire tree will be printed, across multiple pages if necessary. If Current Browser Page is selected, then only that portion of the tree which is viewable will be printed in WYSIWYG fashion.
    • Small Tree — The entire navigation tree, showing the overall structure of the tree diagram without node labels or statistics, can be printed in pages. (The fewest possible pages will be printed if the navigation tree is reduced as small as possible before printing the small tree). The total number of pages needed to print the smaller tree will be reported before they are sent to the printer).
  • Save — Currently, the Tree Browser only supports the creation of Bitmaps. If Tree Text is currently selected, the entire tree will be saved. If Tree Browser is selected, only the portion of the tree that is viewable will be saved in WYSIWYG fashion.
The lower frame shows the details of the decision tree in a graphical manner. The graphical representation of the tree consists of the following objects:
  • Root Node — The box at the top of the tree shows the total number of observations or rows used in building the tree after any rows have been removed for containing null values.
  • Intermediate Node — The boxes representing intermediate nodes in the tree contain the following information.
    • Decision — Condition under which data passes through this node.
    • N — Count of number of observations or rows passing through this node.
    • % — Percentage of observations or rows passing through this node.
  • Leaf Node — The boxes representing leaf nodes in the tree contain the following information.
    • Decision — Condition under which data passes to this node.
    • N — Count of number of observations or rows passing to this node.
    • % — Percentage of observations or rows passing to this node.
    • CF — Confidence factor
    • TF — Targeted confidence factor, alternative to CF display
    • RCF — Recalculated confidence factor based on validation table (if requested)
    • RTF — Recalculated targeted confidence factor based on validation table (if requested)