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.

psmsx_om_mach_2fcv_rf_555515_50_5_

Submitted by H. Jair Escalante

psmsx_om_mach_2fcv_rf_555515_50_5_

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1881 0.2223 0.191 0.8131 0.7867 0.8091 agnostic
gina 0.0035 0 0.0622 0.9968 1 0.9382 agnostic
hiva 0 0 0.4108 1 1 0.5963 agnostic
nova 0.1072 0.11 0.1033 0.8929 0.8747 0.8982 agnostic
sylva 0.0047 0.0073 0.0104 0.9954 0.9916 0.9896 agnostic
Overall 0.0607 0.0679 0.1555 0.9396 0.9306 0.8463 agnostic

This entry is a complete agnostic learning entry.