Multi split conformal prediction

Split conformal prediction is a computationally efficient method for performing distribution-free predictive inference in regression. It involves, however, one-time random split of the data, and result can strongly depend on particular split. To address this problem, we propose multi prediction, simple based Markov’s inequality to aggregate intervals across multiple splits.