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.

svm

Submitted by Chen

in dev

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.221 0.2299 0.2157 0.7756 0.7812 0.7848 agnostic
gina 0.048 0.1304 0.1518 0.954 0.8663 0.8478 agnostic
hiva 0.059 0.2548 0.3238 0.9403 0.7662 0.6764 agnostic
nova 0.0014 0.04 0.0605 0.9984 0.9525 0.9407 agnostic
sylva 0.021 0.011 0.0209 0.9781 0.9889 0.9791 agnostic
Overall 0.0701 0.1332 0.1546 0.9293 0.871 0.8457 agnostic

This entry is a complete agnostic learning entry.