Datasets of the WCCI
Performance Prediction Challenge
Data set name
|
Size (MB) |
Data matrix type |
Num. ex. (tr/val/te) |
Num. feat. |
| ADA |
0.6 |
Non sparse |
4147 / 415
/ 41471 |
48 |
| GINA |
19.4 |
Non sparse |
3153 / 315
/ 31532 |
970 |
| HIVA |
7.6 |
Non sparse |
3845 / 384
/ 38449 |
1617 |
| NOVA |
2.3 |
Sparse binary |
1754 / 175
/ 17537 |
16969 |
| SYLVA |
15.6 |
Non sparse |
13086 / 1308
/ 130858 |
216 |
We are making available sample Matlab code to
read the data, convert it in Matlab format, run a trivial method called "zarbi",
and pack the results in a ready-to-submit archive,
which we provide as example.