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 0.2131 0.2305 0.2111 0.7905 0.7825 0.7896 agnostic
gina 0.0486 0.0378 0.0779 0.9504 0.9643 0.9235 agnostic
hiva 0.2032 0.277 0.3503 0.7922 0.6913 0.6523 agnostic
nova 0.207 0.152 0.203 0.7998 0.8472 0.794 agnostic
sylva 0.0107 0.0065 0.0154 0.9896 0.9929 0.9846 agnostic
Overall 0.1365 0.1408 0.1715 0.8645 0.8556 0.8288 agnostic

This entry is a complete agnostic learning entry.