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.

ffs monoms

Submitted by Chen

in dev

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.2273 0.2348 0.227 0.8646 0.8346 0.8558 agnostic
gina 0 0.0097 0.0401 1 0.9984 0.9927 agnostic
hiva 0.0188 0.178 0.3082 0.9938 0.8058 0.7215 agnostic
nova 0.0014 0.04 0.0774 1 0.9942 0.9843 agnostic
sylva 0.0122 0.0094 0.0191 0.9994 0.9981 0.9971 agnostic
Overall 0.0519 0.0944 0.1344 0.9716 0.9262 0.9103 agnostic

This entry is a complete agnostic learning entry.