Rule Induction Partitioning Estimator

Code

• github.com/VMargot/RIPE
  OfficialIn papernone★ 0
• github.com/Advestis/RIPE
  none★ 0

Abstract

RIPE is a novel deterministic and easily understandable prediction algorithm developed for continuous and discrete ordered data. It infers a model, from a sample, to predict and to explain a real variable Y given an input variable X X (features). The algorithm extracts a sparse set of hyperrectangles r X, which can be thought of as rules of the form If-Then. This set is then turned into a partition of the features space X of which each cell is explained as a list of rules with satisfied their If conditions. The process of RIPE is illustrated on simulated datasets and its efficiency compared with that of other usual algorithms.

Reproductions