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- W4294112837 abstract "We propose a general model explanation system (MES) for explaining the output of black box classifiers. This paper describes extensions to Turner (2015), which is referred to frequently in the text. We use the motivating example of a classifier trained to detect fraud in a credit card transaction history. The key aspect is that we provide explanations applicable to a single prediction, rather than provide an interpretable set of parameters. We focus on explaining positive predictions (alerts). However, the presented methodology is symmetrically applicable to negative predictions." @default.
- W4294112837 created "2022-09-02" @default.
- W4294112837 creator A5090644294 @default.
- W4294112837 date "2016-06-30" @default.
- W4294112837 modified "2023-10-14" @default.
- W4294112837 title "A Model Explanation System: Latest Updates and Extensions" @default.
- W4294112837 doi "https://doi.org/10.48550/arxiv.1606.09517" @default.
- W4294112837 hasPublicationYear "2016" @default.
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