Rule Induction Partitioning Estimator

07/12/2018

∙

by   Vincent Margot, et al.

∙

0

∙

share

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.