building and interpreting decision trees in enterprise miner
TRANSCRIPT
Building And Interpreting
Decision Trees in Enterprise Miner
Getting Up 2 Speed
Open up the HMEQ project you worked on last class. You should drop 3 nodes in EM (Input, Insight, and Partition (to separate random training and validation)
K:/(common)/tsupra/MARK2042/
Building Decision Trees
Add a Tree Node Connect to Data
Partition Node
Check Status, Model Role and Measurement
Splitting Criteria: binary target variables default is
Ordinal target variables: must use Entropy or Gini. Here,We can use any of the three. These are typical statistical tests.See readings I handed out last class (WebCT).
Close Tree Node. Run it! View the results.
Tree with 18 leaves grown based on training data, pruned back to 8Based on validation. 8-leaf model has accuracy of 89.02% of theValidation set.
Choose View-Tree
10 leaves are visible here. New in EMVersion 8.
Tree Options…Follow the tasks below
Colours and Proportion of target value.
What did the 0 represent again? Leaves with all zeros willBe green. Individuals who will default on their loan will beRed.
Inspect for high percentage of bad loans (red) and good loans (green)
Change the Statistics
Find missing values
The branch that contains theValues greater than 45.1848 alsoContains the missing values
Select this tab next
View a path to the node
Right click an area
Using Tree Options – Default Tree
Add New Tree (Default)
Make 2 changes to the basic tab. GiveThis a max and a min set of values
2*25=50 is the RULE.
Add the Assessment nodeAnd connect.
Close and Save the changes
If you didn’t follow the RULE,You won’t be able to save.
View the results…
Run it.
View the tree again.
The defaulted tree diagram.
Is yoursDifferent?
Running The Assessment Node
Run the AssessmentNode
Select both the Trees
Interpretation
View a Lift Chart
Results!
Various Charts – what are they saying?
Further Study:
See WebCT for more resources. More information on Decision Trees. Assignment 4 also up on WebCT. Group Assignment will be delivered
next class.