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.

BoostingNN_10300

Submitted by H. Jair Escalante

BN10300

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1488 0.2318 0.193 0.9356 0.8563 0.8904 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 0.048 0.0504 1 0.9957 0.9895 agnostic
sylva 0.0072 0.0053 0.0117 0.999 0.9991 0.9983 agnostic
Overall 0.0543 0.1135 0.1204 0.9787 0.9322 0.927 agnostic

This entry is a Model Selection Game entry.