Before revision:  The first is an algorithm, Monte Carlo Bounds for Reasonable Predictions (MC-BRP) . Given a large error, MC-BRP determines (1) feature values that would result in a reasonable prediction, and (2) general trends between each feature and the target,  based on Monte Carlo simulations.
After revision:  The first is an algorithm, Monte Carlo Bounds for Reasonable Predictions (MC-BRP) . Given a large error, MC-BRP determines (1) feature values that would result in a reasonable prediction, and (2) general trends between each feature and the target, both based on Monte Carlo simulations.