The Partition platform recursively partitions the predictors (Xs) to develop a predictive model for Y. At
each step, the platform finds two intervals of values for a continuous X or two sets of levels for a cate-
gorical X that best predict Y. It does this by exhaustively searching all possible splits. These splits of the
X variables are performed recursively, resulting in a decision tree. The tree defines decision rules that
determine a predictive model based on the optimum splits.
Introduction
Select Help > Sample Data Library and open Titanic Passengers.jmp.
The
Titanic Passengers.jmp sample data table describes the sur ...
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