plot.prim.predict

<p>An S3 object of class prim.predict</p>

<p>Plot an S3 object of class prim.predict</p>

Developed to assist in discovering interesting subgroups in high-dimensional data.
The PRIM implementation is based on the 1998 paper "Bump hunting in high-dimensional data" by Jerome H. Friedman and Nicholas I. Fisher <doi:10.1023/A:1008894516817>.
PRIM involves finding a set of "rules" which combined imply unusually large values of some other target variable.
Specifically one tries to find a set of sub regions in which the target variable is substantially larger than overall mean.
The objective of bump hunting in general is to find regions in the input (attribute/feature) space with relatively high values for the target variable.
The regions are described by simple rules of the type if: condition-1 and ... and condition-n then: estimated target value. Given the data (or a subset of the data),
the goal is to produce a box B within which the target mean is as large as possible.

plot.prim.predict: Plot PRIM test result

Description

Usage

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