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Collapsing the Decision Tree: the Concurrent Data Predictor
Published 9 Aug 2021 in cs.LG | (2108.03887v1)
Abstract: A family of concurrent data predictors is derived from the decision tree classifier by removing the limitation of sequentially evaluating attributes. By evaluating attributes concurrently, the decision tree collapses into a flat structure. Experiments indicate improvements of the prediction accuracy.
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