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SPECTF Heart Data Set

Below are papers that cite this data set, with context shown. Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info.

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Carlotta Domeniconi and Bojun Yan. Nearest Neighbor Ensemble. ICPR (1). 2004.

10 times, and the average error rate was computed. The results show that our Weight-driven approach offers significant accuracy improvements (over both ADAMENN and the Random approach) for the three data sets with a larger number of dimensions spectf test, lung, sonar). For liver and ionosphere the Random and Weight approaches give similar performances. This result provides evidence that bootstrapping


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