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.