Before revision:  We evaluate on a real dataset with real users from Ahold Delhaize by conducting a user study  to determine if explanations generated by MC-BRP help users understand why a prediction results in a large error, and if this promotes trust in an automatically-learned model.
After revision:  We evaluate on a real dataset with real users from Ahold Delhaize by conducting a user study with 75 participants to determine if explanations generated by MC-BRP help users understand why a prediction results in a large error, and if this promotes trust in an automatically-learned model.