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.

DataGrid-MODL

Submitted by Marc B oulle

DataGrid-MODL final submitted 0707310706

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1734 0.1994 0.1756 0.8507 0.8045 0.8464 prior
gina 0.043 0.0283 0.0516 0.9933 0.9975 0.9768 prior
hiva 0.2305 0.1668 0.3511 0.867 0.8979 0.6926 agnostic
nova 0.054 0.062 0.0686 0.9731 0.9869 0.9656 prior
sylva 0.0205 0.009 0.0228 0.981 0.9838 0.9798 prior
Overall 0.1043 0.0931 0.1339 0.933 0.9341 0.8922 prior

This entry is a complete prior knowledge entry.