Skip to main content

Table 1 Errors of the simplest machine learning model

From: A molecular map of mesenchymal tumors

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

  1. 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.