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In Defense of One-Vs-All Classification

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Figure 1: An analysis of the quantity R(p). (a): R(p) vs. p. (b):dRdp vs. p. We see thatR(p) is a strictly increasing function of p, implying that if class i is more likelythan class j at point x, then, asymptotically, fi(x) > fj(x).
Table 1: Multiclass classification error rates for the satimage data set. Allwein et al
Table 3: A view of the multiclass results of Hsu and Lin (2002) for RBF kernels. The firstthree columns show the performance of the best and worst performing classifier foreach data set, the third column shows the difference in performance between thebest and
Table 5: Number of possible binary classifiers for each code matrix.
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