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- W2018966483 abstract "This paper discusses the way in which confidence interval estimators for the error of a classifier could be used for the design of decision trees from a set of observations. Confidence interval estimators take into account the limited number of data that are used during the classifier design; so the predictions for the misclassification error on future data are not overoptimistic." @default.
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- W2018966483 title "The application of confidence interval error analysis to the design of decision tree classifiers" @default.
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- W2018966483 doi "https://doi.org/10.1016/0167-8655(93)90112-q" @default.
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