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.

final_run_sylva_2

Submitted by H. Jair Escalante

same as corrida_run, using another model for sylva dataset

Dataset Balanced Error Area Under Curve  
Train Valid Test Train Valid Test
ada 0.1759 0.2013 0.1827 0.9061 0.8763 0.9009 agnostic
gina 0.0266 0.0064 0.0614 0.9963 0.9998 0.9804 agnostic
hiva 0.0641 0.0486 0.2854 0.9841 0.9871 0.7551 agnostic
nova 0.0004 0.044 0.0511 1 0.997 0.9896 agnostic
sylva 0.0031 0.0037 0.0135 0.9998 0.999 0.9954 agnostic
Overall 0.054 0.0608 0.1188 0.9773 0.9718 0.9243 agnostic

This entry is a complete agnostic learning entry.