Table 3 kNN approach: The error rates according to the number of genes. The sets of Ogawa (OS, [26]) and Gasch (GS, GSHEAT and GSH2O2, [25]) have been cut into subsets representing from (1/2) to (1/7) of the original sets. For each of the subsets, the optimal value for k (k opt ), i.e. the number of neighbours used in kNN approach, has been computed. It was chosen as the number which minimizes the error rate. In regards to each subset is given the number of genes (nb genes).
OS | GS | GSHEAT | GSH2O2 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
subsets | nb genes | error rate | k opt | nb genes | error rate | k opt | nb genes | error rate | k opt | nb genes | error rate | k opt |
(1/7) | 827 | 0.190 | 14 | 815 | 0.292 | 18 | 523 | 0.183 | 12 | 717 | 0.143 | 14 |
(1/6) | 968 | 0.186 | 20 | 955 | 0.276 | 8 | 608 | 0.199 | 15 | 837 | 0.155 | 11 |
(1/5) | 1159 | 0.187 | 20 | 1141 | 0.283 | 23 | 731 | 0.195 | 22 | 1003 | 0.155 | 17 |
(1/4) | 1448 | 0.180 | 22 | 1427 | 0.270 | 26 | 913 | 0.199 | 28 | 1254 | 0.146 | 13 |
(1/3) | 1929 | 0.180 | 23 | 1903 | 0.274 | 8 | 1215 | 0.187 | 23 | 1669 | 0.139 | 15 |
(1/2) | 2892 | 0.174 | 30 | 2853 | 0.255 | 7 | 1822 | 0.187 | 8 | 2504 | 0.135 | 16 |
set | 5783 | 0.177 | 39 | 5705 | 0.255 | 8 | 3643 | 0.186 | 10 | 5007 | 0.135 | 17 |