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Errors of the simplest machine learning model |
|
| Model (n = 96) |
Error +/- S.E. |
|
|
|
| Cross-validation |
0.33 |
| Random guessing (n = 10) |
0.93 +/- 0.01 |
| Re-permuted and cross-validated (n = 10) |
0.94 +/- 0.01 |
|
We used leave-one-out cross-validation of all samples simultaneously. With random guessing we compared the matching of the true order of classification labels against a randomly generated set, which produces a baseline for cross-validation comparison. For re-permutation, the true labels were randomized to create a semi-random false dataset. | |
Henderson et al. Genome Biology 2005 6:R76 doi:10.1186/gb-2005-6-9-r76 |
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