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.

Submit E final

Submitted by mehreen

Final submission E received 0707301800

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1901 0.2011 0.187 0.8106 0.8121 0.8135 agnostic
gina 0.0225 0.0127 0.0523 0.9792 0.9831 0.9483 agnostic
hiva 0.1483 0.1322 0.3172 0.8423 0.857 0.6833 agnostic
nova 0.0382 0.028 0.0456 0.9574 0.9659 0.9552 agnostic
sylva 0.0094 0.0057 0.0124 0.9895 0.9936 0.9876 agnostic
Overall 0.0817 0.0759 0.1229 0.9158 0.9223 0.8776 agnostic

This entry is a complete agnostic learning entry.