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twonorm

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OpenML2015-11-09 更新2024-05-23 收录
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**Author**: Michael Revow **Source**: http://www.cs.toronto.edu/~delve/data/twonorm/desc.html **Please cite**: * Twonorm dataset This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution with unit variance. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2/sqrt(20). Breiman reports the theoretical expected misclassification rate as 2.3%. He used 300 training examples with CART and found an error of 22.1%.
创建时间:
2015-05-25
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