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.

rfe monoms ts5000

Submitted by Chen

in dev

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.2516 0.2605 0.2407 0.827 0.7888 0.8269 agnostic
gina 0 0.0253 0.062 1 0.9954 0.9836 agnostic
hiva 0 0.2191 0.3144 1 0.771 0.731 agnostic
nova 0.0004 0.036 0.079 1 0.9947 0.9844 agnostic
sylva 0.0192 0.0118 0.0188 0.998 0.9981 0.9972 agnostic
Overall 0.0543 0.1106 0.143 0.965 0.9096 0.9046 agnostic

This entry is a complete agnostic learning entry.