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.

trees

Submitted by Joerg Wichard

trees - balanced

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1578 0.1673 0.1782 0.9284 0.9168 0.907 agnostic
gina 0.0323 0.0096 0.0805 0.9969 0.9995 0.9732 agnostic
hiva 0.1585 0.1741 0.3004 0.9272 0.9108 0.7662 agnostic
nova 0.1255 0.134 0.142 0.9639 0.9685 0.9449 agnostic
sylva 0.0071 0.0115 0.0109 0.9994 0.9987 0.9981 agnostic
Overall 0.0962 0.0993 0.1424 0.9631 0.9589 0.9179 agnostic

This entry is a complete agnostic learning entry.