Observation-specific explanations through scattered data approximation

arXiv:2404.08747v1 Announce Type: cross
Abstract: This work introduces the definition of observation-specific explanations to assign a score to each data point proportional to its importance in the definition of the prediction process. Such explanations involve the identification of the most influential observations for the black-box model of interest. The proposed method involves estimating these explanations by constructing a surrogate model through scattered data approximation utilizing the orthogonal matching pursuit algorithm. The proposed approach is validated on both simulated and real-world …

abstract approximation arxiv box cs.ai cs.lg cs.na data definition identification importance math.na observation prediction process stat.ml through type work