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.

cross-indexing-5

Submitted by Juha Reunanen

HIVA again,
bias: option = 4

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1773 0.2161 0.1964 0.9086 0.8624 0.8934 agnostic
gina 0 0.0285 0.0436 1 0.9967 0.9909 agnostic
hiva 0.2096 0.3309 0.3353 0.9537 0.7085 0.7569 agnostic
nova 0.0004 0.054 0.0534 1 0.9949 0.9904 agnostic
sylva 0.0048 0.0041 0.011 0.9994 0.9992 0.9987 agnostic
Overall 0.0784 0.1267 0.128 0.9723 0.9123 0.9261 agnostic

This entry is a Model Selection Game entry.