Across the five benchmark datasets, the authors characterize ridge regression on random features as faster than and competitively accurate with alternative large-scale kernel methods, while Table 1 shows that the advantage depends on dataset and feature family rather than holding for every individual entry. · CiteArk
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Across the five benchmark datasets, the authors characterize ridge regression on random features as faster than and competitively accurate with alternative large-scale kernel methods, while Table 1 shows that the advantage depends on dataset and feature family rather than holding for every individual entry.
Source: paper:PDF pp. 5-6, Section 5 and Table 1; PDF p. 6, Section 6
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