You win the prize. Order is very important in stochastic gradient descent.
Randomizing once should be fine.
It should also be fine to do a random merge of the two classes. Or an
alternating join.
On Thu, Feb 14, 2013 at 1:33 PM, Brian McCallister bri...@skife.org wrote:
So to answer my own
So to answer my own question, the order of training matters. I had been
doing all category 1 then all category 0. Apparently this breaks things
badly
On Wed, Feb 13, 2013 at 4:29 PM, Brian McCallister bri...@skife.org wrote:
I'm trying to do a basic two category classifier on textual data, I
I'm trying to do a basic two category classifier on textual data, I am
working with a training set of only about 100,000 documents, and am using
an AdaptiveLogisticRegression with default settings.
When I build the trainer it reports:
% correct: 0.9996315789473774
AUC: 0.75
