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Rule Induction Partitioning Estimator

V. Margot, JP. Baudry, F. Guilloux and O. Wintenberger. Machine Learning and Data Mining in Pattern Recognition (MLDM2018), Lecture Notes in Computer Science, vol 10935. Springer.

Absract: RIPE is a novel deterministic and easily understandable prediction algorithm developed for continuous and discrete ordered data. It infers amodel, 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 andits efficiency compared with that of other usual algorithms.


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