PASCAL Agnostic Learning
vs.
Prior Knowledge
IJCNN07

The challenge is now over. But it remains open for post-challenge submissions!


IMPORTANT: Entries made since February 1st 2007 might be using validation data, now available for training.

SC-1

Submitted by The Machine

SC-1
nova is not ready yet

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1726 0.2177 0.1898 0.9178 0.8746 0.9038 agnostic
gina 0 0.0509 0.0629 1 0.9908 0.9841 agnostic
hiva 0.1535 0.2678 0.3096 0.9341 0.771 0.7592 agnostic
nova 0.1265 0.144 0.1478 0.9622 0.9408 0.9381 agnostic
sylva 0.0039 0.0115 0.006 0.9998 0.9992 0.9989 agnostic
Overall 0.0913 0.1384 0.1432 0.9628 0.9153 0.9168 agnostic

This entry is a complete agnostic learning entry.