From: Random KNN feature selection - a fast and stable alternative to Random Forests
Dataset | Sample Size, n | No. of Genes, p | No. of classes, c | p/n | p* c/n |
---|---|---|---|---|---|
Ramaswamy | 308 | 15009 | 26 | 49 | 1267 |
Staunton | 60 | 5726 | 9 | 95 | 859 |
Nutt | 50 | 10367 | 4 | 207 | 829 |
Su | 174 | 12533 | 11 | 72 | 792 |
NCI60 | 61 | 5244 | 8 | 86 | 688 |
Brain | 42 | 5597 | 5 | 133 | 666 |
Armstrong | 72 | 11225 | 3 | 156 | 468 |
Pomeroy | 90 | 5920 | 5 | 66 | 329 |
Bhattacharjee | 203 | 12600 | 5 | 62 | 310 |
Adenocarcinoma | 76 | 9868 | 2 | 130 | 260 |
Golub | 72 | 5327 | 3 | 74 | 222 |
Singh | 102 | 10509 | 2 | 103 | 206 |