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.

psmsx_jmlr_run

Submitted by H. Jair Escalante

psmsx_jmlr_run

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1558 0.1707 0.1696 0.8447 0.8465 0.8285 agnostic
gina 0 0 0.0241 1 1 0.9759 agnostic
hiva 0.0817 0.172 0.2801 0.9137 0.8309 0.7221 agnostic
nova 0 0 0.0527 1 1 0.9486 agnostic
sylva 0.0028 0.0029 0.0062 0.9979 0.9964 0.9938 agnostic
Overall 0.0481 0.0691 0.1065 0.9513 0.9348 0.8938 agnostic

This entry is a complete agnostic learning entry.