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.

lastrun

Submitted by H. Jair Escalante

last

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1479 0.2208 0.2035 0.9404 0.8519 0.8827 agnostic
gina 0 0.0285 0.053 1 0.9953 0.9878 agnostic
hiva 0.1153 0.2537 0.2937 0.959 0.8145 0.7689 agnostic
nova 0.0004 0.044 0.0511 1 0.997 0.9896 agnostic
sylva 0.0037 0.0033 0.013 0.9998 0.9989 0.9964 agnostic
Overall 0.0535 0.1101 0.1229 0.9798 0.9315 0.9251 agnostic

This entry is a complete agnostic learning entry.