From: Random KNN feature selection - a fast and stable alternative to Random Forests
Dataset | p* c/n | Mean Feature Set Size | Standard Deviation | ||||
---|---|---|---|---|---|---|---|
 |  | RF | R1NN | R3NN | RF | R1NN | R3NN |
Ramaswamy | 1267 | 907 | 336 | 275 | 666 | 34 | 52 |
Staunton | 859 | 185 | 74 | 60 | 112 | 12 | 11 |
Nutt | 829 | 146 | 49 | 49 | 85 | 6 | 4 |
Su | 792 | 858 | 225 | 216 | 421 | 9 | 26 |
NCI | 688 | 126 | 187 | 163 | 118 | 41 | 33 |
Brain | 666 | 18 | 137 | 120 | 13 | 42 | 42 |
Armstrong | 468 | 249 | 76 | 73 | 1011 | 16 | 12 |
Pomeroy | 329 | 69 | 89 | 82 | 70 | 15 | 13 |
Bhattacharjee | 310 | 33 | 148 | 146 | 29 | 15 | 10 |
Adenocarcinoma | 260 | 8 | 38 | 11 | 4 | 20 | 11 |
Golub | 222 | 12 | 27 | 21 | 8 | 5 | 5 |
Singh | 206 | 26 | 25 | 13 | 32 | 6 | 6 |
Average | Â | 220 | 118 | 102 | 214 | 18 | 19 |