Decision Tree to Ruleset

Manipulator

Converts (a single) decision tree model to PMML RuleSet model and also to a table containing the rules in a textual form. The resulting rules are independent of each other, the order of rules is not specified, can be changed. Missing value strategies are ignored, it will always evaluate to missing value.

Input Ports

  1. Type: PMML A PMML Decision Tree model.

Output Ports

  1. Type: PMML The decision tree model represented as PMML RuleSets (with <tt>firstHit</tt> rule selection method).
  2. Type: Data The table contains the rules' text (in single (<b>Rule</b>) or two columns (<b>Condition</b>, <b>Outcome</b>), the rule <b>Confidence</b> and <b>Weight</b> information and optionally the <b>Record count</b> (for how many rows did the ruleset matched when created) and <b>Number of correct</b> values where the outcome of the rule matched the expected label when the model was created.

Find here

Analytics > Mining > Decision Tree

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