公开(公告)号：US20220391751A1

公开(公告)日：2022-12-08

申请号：US17338243

申请日：2021-06-03

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： YANN LE BIANNIC ,  Savaneary Sean

IPC: G06N20/00 ,  G06K9/62

Abstract: A method, a system, and a computer program product for determining uncertainties associated with a predictive modeling environment executed by computing systems. A dataset that includes a plurality of variables associated with one or more values is received for training a predictive model. The predictive model is trained using the received dataset and applied to one or more variables in the received dataset to generate a prediction. One or more uncertainty intervals corresponding to one or more contributions of one or more missing values corresponding to one or more variables in the plurality of variables are generated. One or more uncertainty intervals corresponding to one or more contributions of one or more rare values corresponding to one or more variables in the plurality of variables are generated. An alert indicative of the prediction is generated based on the one or more generated uncertainty intervals.