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 A final

Submitted by mehreen

Final submission A received 0707301754

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1697 0.1741 0.1854 0.8356 0.8448 0.8149 agnostic
gina 0.0105 0 0.0495 0.9899 1 0.9507 agnostic
hiva 0.1716 0.1849 0.3097 0.8321 0.7714 0.6898 agnostic
nova 0.0368 0.028 0.0504 0.9591 0.9659 0.9497 agnostic
sylva 0.0069 0.0061 0.0096 0.9935 0.9931 0.9904 agnostic
Overall 0.0791 0.0786 0.1209 0.922 0.9151 0.8791 agnostic

This entry is a complete agnostic learning entry.