Process of Returning Multiple Outputs from a Pega Decision Tree Rule
http://pegagang.blogspot.com/2018/05/return-multiple-outputs-decision-tree-rule.html
Decision tree Rule:
Decision
tree rules illustrate a sequence of tests performed on property values to
return an automated decision. Pega Decision rule is also used whenever we want
to return a value based on certain conditions. This basically simulates if…
then logic and If you're making decisions on series of data that are different
from one branch to the next, use decision tree. For example, you can create a
decision tree rule to return specific automobile insurance rates on cars
manufactured prior to 1990.
For
an advanced decision tree complete the Input tab before the Decision tab and
for a basic decision tree, complete the Results tab first. To restrict the
results to one of a few constant values, complete the Results tab before the
Decision tab.
Where Decision Tree
rules are referenced
- A collection rule can call a decision table.
- A Declare Expression rule can call a decision tree.
- In a flow rule, you can reference a decision tree in a decision shape, identified by the Decision shape Decision shape.
- In an activity, you can evaluate a decision tree using the Property-Map-Decision Tree method.
To return multiple
outputs from Decision Tree Rule:
- Click the checkbox of Allowed to take actions on the Results tab of the Decision Tree form
- When you click on this checkbox, the Allowed Action Functions field appears.
- The only value you can select here is set Property Value. This allows you to enter one or more properties on the Decision tab. To add more properties, select the Append row button below the entry field.
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Decision trees are a great flow chart tree structuecire.Yet decision trees are less appropriate for estimation tasks where the goal is to predict the value of a continuous attribute.
ReplyDeleteTo understand further more lets look at some Decision Tree Examples in the Creately diagram community.
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