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 D final

Submitted by mehreen

Final submission D received 0707301758

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1799 0.1898 0.181 0.8217 0.8152 0.8185 agnostic
gina 0.0143 0.0064 0.0514 0.9853 0.99 0.9486 agnostic
hiva 0.2184 0.2375 0.305 0.7827 0.7355 0.6976 agnostic
nova 0.0368 0.028 0.0491 0.9611 0.9659 0.9515 agnostic
sylva 0.0078 0.0065 0.0104 0.9923 0.9929 0.9896 agnostic
Overall 0.0914 0.0936 0.1194 0.9086 0.8999 0.8812 agnostic

This entry is a complete agnostic learning entry.