Agnostic Learning vs. Prior Knowledge

The challenge is now over. But it remains open for post-challenge submissions!

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.

IJCNN 2007 Workshop on Agnostic Learning vs. Prior Knowledge Web Site Maintenance: MPS  (contact)