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.

Final

Submitted by Joerg Wichard

Final submission received 0707302233

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1641 0.1673 0.181 0.9235 0.9096 0.906 agnostic
gina 0.0594 0.038 0.0922 0.9897 0.9948 0.9666 agnostic
hiva 0.1829 0.1647 0.3003 0.9084 0.8988 0.7607 agnostic
nova 0.1439 0.124 0.1556 0.9603 0.9765 0.9372 agnostic
sylva 0.0077 0.0119 0.0115 0.9994 0.9989 0.9981 agnostic
Overall 0.1116 0.1012 0.1481 0.9563 0.9557 0.9137 agnostic

This entry is a complete agnostic learning entry.