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Found 2 papers, 1 papers with code
Active learning with biased non-response to label requests
We conceptualise this degradation by considering the type of non-response present in the data, demonstrating that biased non-response is particularly detrimental to model performance.
TCE: A Test-Based Approach to Measuring Calibration Error
This paper proposes a new metric to measure the calibration error of probabilistic binary classifiers, called test-based calibration error (TCE).
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