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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Lesk a bída optimálních stromů
 Savický, Petr ; Klaschka, Jan
Optimal classification trees have the smallest error on training data, given the number of leaves. Previous experiments suggest that the generalization properties of the optimal trees might be consistently at least as good as these of the trees grown by classical methods. The result presented in current paper demonstrate, however, that for some classification problems the optimal trees are outperformed by the classical ones.
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