[R] comparing classification methods: 10-fold cv or leaving-one-out ?

[Christoph Lehmann]

Hi
what would you recommend to compare classification methods such as LDA,
classification trees (rpart), bagging, SVM, etc:

10-fold cv (as in Ripley p. 346f)

or

leaving-one-out (as e.g. implemented in LDA)?

my data-set is not that huge (roughly 200 entries)

many thanks for a hint

Christoph
-- 
Christoph Lehmann <christoph.lehmann at gmx.ch>