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Model Agnostic Local Explanations of Reject
The application of machine learning based decision making systems in safety critical areas requires reliable high certainty predictions.
Explaining Reject Options of Learning Vector Quantization Classifiers
While machine learning models are usually assumed to always output a prediction, there also exist extensions in the form of reject options which allow the model to reject inputs where only a prediction with an unacceptably low certainty would be possible.
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