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.

mlp+mcic

Submitted by Namgil Lee

mlp+mcic submitted on 0708020643

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1754 0.1724 0.1831 0.9072 0.8897 0.9007 agnostic
gina 0 0 0.1123 1 1 0.9483 agnostic
hiva 0 0 0.3644 1 1 0.7038 agnostic
nova 0 0 0.0667 1 1 0.978 agnostic
sylva 0.0107 0.0094 0.0142 0.9998 0.9993 0.9944 agnostic
Overall 0.0372 0.0363 0.1481 0.9814 0.9778 0.905 agnostic

This entry is a complete agnostic learning entry.