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.

SIU-PCA

Submitted by The Machine

SIU-PCA: B1

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1696 0.2224 0.1835 0.923 0.8732 0.9054 agnostic
gina 0.0016 0.054 0.0631 1 0.9913 0.9831 agnostic
hiva 0.1133 0.2645 0.2992 0.9706 0.7788 0.7623 agnostic
nova 0.1153 0.124 0.1319 0.9565 0.9307 0.9396 agnostic
sylva 0.0038 0.0119 0.007 0.9996 0.9987 0.9987 agnostic
Overall 0.0807 0.1354 0.1369 0.9699 0.9145 0.9178 agnostic

This entry is a complete agnostic learning entry.