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.

Ensembles of Classifiers

Submitted by Joerg Wichard

This time balanced.

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1595 0.2192 0.1911 0.9261 0.8706 0.9036 agnostic
gina 0.0809 0.0883 0.1087 0.9684 0.9631 0.9489 agnostic
hiva 0.1568 0.2813 0.3003 0.9245 0.7809 0.7641 agnostic
nova 0.1189 0.128 0.1416 0.9545 0.9194 0.9344 agnostic
sylva 0.0083 0.0189 0.0137 0.9993 0.9978 0.998 agnostic
Overall 0.1049 0.1471 0.1511 0.9545 0.9064 0.9098 agnostic

This entry is a complete agnostic learning entry.