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Conformal prediction is a relatively recent approach for quantifying the uncertainty in classification problems. It can provide reliable measures of confidence for predicting class labels of unclassified patterns. This framework is applicable to classification problems but the implementation of conformal prediction for classification depends on the classification algorithm at hand. In literature,...
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