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-SCC

Submitted by Marc B oulle

DataGrid-SCC final submitted 0707310705

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.2505 0.2543 0.241 0.8147 0.7903 0.8229 prior
gina 0.0497 0.0285 0.0638 0.9922 0.9964 0.9734 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 0.0662 0.0671 0.0605 0.9847 0.9805 0.985 prior
Overall 0.1302 0.1158 0.157 0.9263 0.9304 0.8879 prior

This entry is a complete prior knowledge entry.