Journal ArticleDOI
Note on the sampling error of the difference between correlated proportions or percentages.
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Two formulas are presented for judging the significance of the difference between correlated proportions and the chi square equivalent of one of the developed formulas.Abstract:
Two formulas are presented for judging the significance of the difference between correlated proportions. The chi square equivalent of one of the developed formulas is pointed out.read more
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In Defense of One-Vs-All Classification
Ryan Rifkin,Aldebaro Klautau +1 more
TL;DR: It is argued that a simple "one-vs-all" scheme is as accurate as any other approach, assuming that the underlying binary classifiers are well-tuned regularized classifiers such as support vector machines.