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.

Mixed test D

Submitted by Reference

Just to test the time stamp.

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.2273 0.2396 0.2181 0.8687 0.8469 0.8729 prior
gina 0 0.041 0.052 1 0.9954 0.9886 prior
hiva 0.2782 0.3243 0.3197 0.8103 0.7425 0.7349 agnostic
nova 0.1781 0.19 0.2005 0.9657 0.9685 0.9574 agnostic
sylva 0 0.0206 0.0129 1 0.9989 0.999 prior
Overall 0.1367 0.1631 0.1606 0.929 0.9104 0.9106 prior