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.

Boosting_ADA_10_001_x600_defaults_f_rest

Submitted by H. Jair Escalante

Boosting with NN and SVC, several configurations

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.178 0.1998 0.1874 0.9035 0.8717 0.8996 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 0.0602 0.1071 0.1193 0.9723 0.9353 0.9288 agnostic

This entry is a Model Selection Game entry.