Hi Betrand
Thanks for the reply.
Well, what i have is n correlation matrices of the brain (n is the number
of participants in the study). The simplest kernel computes the dot product
between the n matrices. The kernel is further optimized using the NIPALS
algorithm (as in Rosipal, Trejo 2002) The
Hi,
When using RFC on a multiclass problem with a large number of trees, would you
expect the prediction for a given sample to match the OOB decision function
i.e. should the prediction match the class with the highest OOB value for the
given sample, when n_estimators is large?
On my 3-class pro
