Papers › Rule Induction Partitioning Estimator
Rule Induction Partitioning Estimator
Vincent Margot, Jean-Patrick Baudry, Frederic Guilloux, Olivier Wintenberger
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.
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