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.

Submit B final

Submitted by mehreen

Final submission B received 0707301756

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1743 0.1882 0.1814 0.8283 0.8218 0.8191 agnostic
gina 0.0105 0.0064 0.0523 0.989 0.9985 0.9477 agnostic
hiva 0.151 0.11 0.31 0.8479 0.9062 0.6951 agnostic
nova 0.0368 0.028 0.0484 0.9598 0.9659 0.9521 agnostic
sylva 0.0083 0.0053 0.0131 0.992 0.9935 0.9869 agnostic
Overall 0.0762 0.0676 0.121 0.9234 0.9372 0.8802 agnostic

This entry is a complete agnostic learning entry.