US US20260235993A1

computer-implemented method for revising a machine learning model for an industrial process plant

Abstract

[0000] A method includes obtaining training data from an operation of an industrial process plant; using the training data to train a machine learning model for assisting a plant operation of the industrial process plant; determining several sub-populations in the training data, each relating to a different scenario of an operation of the industrial process plant; determining several performances of the machine learning model, each relating to a different sub-population; determining, based on the performance of each one of the sub-populations, one or more underrepresented sub-populations; and revising, based on the one or more underrepresented sub-populations, the machine learning model for increased consideration of the one or more underrepresented sub-populations when assisting the plant operation of the industrial process plant.

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