The challenge is now over. But it remains open for post-challenge submissions!
Submitted by Jorge Sueiras
ADA(prior) --> Boost tree and NN.
GINA(prior) --> NN.
HIVA(agnostic) --> Boost reg.
NOVA(prior) --> Parsing and Boost tree.
SYLVA(prior) --> Boost tree.
Dataset | Balanced Error | Area Under Curve | |||||
---|---|---|---|---|---|---|---|
Train | Valid | Test | Train | Valid | Test | ||
ada | 0.1587 | 0.1854 | 0.1836 | 0.917 | 0.8844 | 0.9055 | prior |
gina | 0.0025 | 0.0537 | 0.0896 | 0.9998 | 0.9781 | 0.9655 | prior |
hiva | 0.1885 | 0.2485 | 0.3257 | 0.8743 | 0.8125 | 0.7127 | agnostic |
nova | 0.0272 | 0.06 | 0.0659 | 0.9911 | 0.9624 | 0.9712 | prior |
sylva | 0.0014 | 0.0041 | 0.0157 | 0.9999 | 0.9981 | 0.9996 | prior |
Overall | 0.0757 | 0.1103 | 0.1361 | 0.9564 | 0.9271 | 0.9109 | prior |
This entry is a complete prior knowledge entry.