Efficient Set-Valued Prediction in Multi-Class Classification

19 Jun 2019Thomas MortierMarek WydmuchKrzysztof DembczyńskiEyke HüllermeierWillem Waegeman

In cases of uncertainty, a multi-class classifier preferably returns a set of candidate classes instead of predicting a single class label with little guarantee. More precisely, the classifier should strive for an optimal balance between the correctness (the true class is among the candidates) and the precision (the candidates are not too many) of its prediction... (read more)

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