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.

ffs special

Submitted by Chen

min max

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1902 0.1981 0.1915 0.8977 0.8759 0.8982 agnostic
gina 0 0.0159 0.049 1 0.9964 0.9873 agnostic
hiva 0 0.2232 0.3057 1 0.768 0.7481 agnostic
nova 0 0.07 0.0716 1 0.981 0.979 agnostic
sylva 0.0092 0.0069 0.0206 0.9997 0.9978 0.997 agnostic
Overall 0.0399 0.1028 0.1277 0.9795 0.9238 0.9219 agnostic

This entry is a complete agnostic learning entry.