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.

liknon feature selection + state of art 2

Submitted by Erinija

Trying to improve on gina and sylva

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1861 0.1932 0.1852 0.8984 0.8687 0.8975 agnostic
gina 0.0476 0.0608 0.0937 0.9921 0.9783 0.9536 agnostic
hiva 0.2374 0.3042 0.3309 0.8628 0.7338 0.7401 agnostic
nova 0.0268 0.092 0.0725 0.9951 0.9813 0.9814 agnostic
sylva 0.0212 0.0176 0.0206 0.9961 0.9973 0.9963 agnostic
Overall 0.1038 0.1336 0.1406 0.9489 0.9119 0.9138 agnostic

This entry is a complete agnostic learning entry.