Agnostic Learning vs. Prior Knowledge

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

Boost mix

Submitted by Jorge Sueiras

ADA(prior) --> Boost tree and NN.
GINA(prior) --> NN.
HIVA(agnostic) --> Boost reg.
NOVA(prior) --> Parsing and Boost tree.
SYLVA(prior) --> Boost tree.

Dataset	Balanced Error			Area Under Curve
	Train	Valid	Test	Train	Valid	Test
ada	0.1587	0.1854	0.1836	0.917	0.8844	0.9055	prior
gina	0.0025	0.0537	0.0896	0.9998	0.9781	0.9655	prior
hiva	0.1885	0.2485	0.3257	0.8743	0.8125	0.7127	agnostic
nova	0.0272	0.06	0.0659	0.9911	0.9624	0.9712	prior
sylva	0.0014	0.0041	0.0157	0.9999	0.9981	0.9996	prior
Overall	0.0757	0.1103	0.1361	0.9564	0.9271	0.9109	prior

This entry is a complete prior knowledge entry.

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