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.

Doubleboost

Submitted by Roman Lutz

prior knowledge only for Sylva

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1573 0.1691 0.1685 0.842 0.8471 0.83 agnostic
gina 0 0 0.0339 1 1 0.9668 agnostic
hiva 0.0465 0.0419 0.3038 0.953 0.9579 0.7019 agnostic
nova 0 0 0.0463 1 1 0.9538 agnostic
sylva 0.0019 0.0037 0.0043 0.998 0.9978 0.9957 prior
Overall 0.0411 0.0429 0.1114 0.9586 0.9605 0.8896 prior

This entry is a complete prior knowledge entry.