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.

Submit C final

Submitted by mehreen

Final submission C submitted 0707301757

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1768 0.1883 0.1814 0.8264 0.8271 0.8187 agnostic
gina 0.0143 0.0064 0.0501 0.9861 0.9969 0.9507 agnostic
hiva 0.1663 0.1471 0.3192 0.8289 0.845 0.6822 agnostic
nova 0.0368 0.028 0.0478 0.9594 0.9659 0.9527 agnostic
sylva 0.0071 0.0053 0.0094 0.9931 0.9938 0.9906 agnostic
Overall 0.0803 0.075 0.1216 0.9188 0.9257 0.879 agnostic

This entry is a complete agnostic learning entry.