summary.prim.predict

An S3 object of class prim.predict

object

Optional setting to disable rounding

round

Optional setting to control number of digits to round

digits

Summarize a PRIM predict result object

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.

summary.prim.predict: Summarize a PRIM predict result object

Description

Usage

Arguments

Value