67 citations · 133 across the 4 of their papers we have counts for
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cs.LG2018★ 21 cited
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Jacques Wainer, Gavin Cawley
When selecting a classification algorithm to be applied to a particular problem, one has to simultaneously select the best algorithm for that dataset \emph{and} the best set of hyp…
cs.LG2018★ 29 cited
Is rotation forest the best classifier for problems with continuous features?
A. Bagnall, M. Flynn, J. Large +3
In short, our experiments suggest that yes, on average, rotation forest is better than the most common alternatives when all the attributes are real-valued. Rotation forest is a tr…