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Found 3 papers, 3 papers with code
Calibration tests beyond classification
In the machine learning literature, different measures and statistical tests have been proposed and studied for evaluating the calibration of classification models.
Calibration tests in multi-class classification: A unifying framework
In safety-critical applications a probabilistic model is usually required to be calibrated, i. e., to capture the uncertainty of its predictions accurately.
Evaluating model calibration in classification
Probabilistic classifiers output a probability distribution on target classes rather than just a class prediction.
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