observation-specific explanation
Observation-specific explanations through scattered data approximation
Ghidini, Valentina, Multerer, Michael, Quizi, Jacopo, Sen, Rohan
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 datasets.
2404.08747
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.46)