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.

OTMK

Submitted by The Machine

OTMK-B1

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1718 0.2257 0.1896 0.9218 0.8728 0.9042 agnostic
gina 0.0013 0.0539 0.0636 1 0.9903 0.9828 agnostic
hiva 0.1576 0.284 0.3142 0.9288 0.7844 0.7562 agnostic
nova 0.1243 0.134 0.1405 0.9641 0.9326 0.944 agnostic
sylva 0.0018 0.0197 0.0204 1 0.9992 0.9989 agnostic
Overall 0.0913 0.1435 0.1457 0.9629 0.9159 0.9172 agnostic

This entry is a complete agnostic learning entry.