REDUCING COMPUTATIONAL REQUIREMENTS FOR MACHINE LEARNING MODEL EXPLAINABILITY

A first input transaction is classified into a first input space cluster in a set of input space clusters. It is determined that the first input space cluster maps to a single explainability space cluster in a set of explainability space clusters. Using an interpretable model corresponding to the si...

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Bibliographic Details
Main Authors Biddle, Edward James, Mazumder, Sourav, Agostinelli, Erika, Van Der Stockt, Stefan A. G
Format Patent
LanguageEnglish
Published 28.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A first input transaction is classified into a first input space cluster in a set of input space clusters. It is determined that the first input space cluster maps to a single explainability space cluster in a set of explainability space clusters. Using an interpretable model corresponding to the single explainability space cluster, a first machine learning model prediction is explained, the first machine learning model prediction resulting from processing, by a machine learning model, the first input transaction.
Bibliography:Application Number: US202217701911