Rule Induction Partitioning Estimator

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 ∈ mathcal X (features). The algorithm extracts a sparse set of hyperrectangles mathbf r subset mathcal 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 mathcal 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.