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This repository has been archived by the owner on May 27, 2024. It is now read-only.
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
This is not an officially supported Google product
Signal for model confidence for a trained classifier, computed based on
labeled training examples and the classifier's hard predictions on these
examples.
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).