Table 3 |
|
|
Errors of two-step machine learning model |
|
|
Step one |
Error (absolute number) |
|
|
|
|
All sarcoma (n = 96) |
0.09 (9) |
|
|
|
|
Step two |
|
|
|
|
|
MSS and MPNST (n = 14) |
0.14 (2) |
|
NFB and SWN (n = 8) |
0.125 (1) |
|
ARMS and ERMS (n = 7) |
0.14 (1) |
|
LMA/WLS and MLS (n = 12) |
0 |
|
|
|
|
Cross-validation errors for step one and two of our prediction model are shown. The algorithm focuses on these samples of each row in isolation. Note that all the samples wrongly classified in step two were correctly classified in step one. |
|
|
Henderson et al. Genome Biology 2005 6:R76 doi:10.1186/gb-2005-6-9-r76 |
|
