Table 3.
Regression with 10-fold cross-validation, endpoint = all-cause hospitalization, to calculate the regression RMSE (root mean square error).
| RMSE | 385 patients | 7,700 patients | 7,700 patients | 15,199 patients |
|---|---|---|---|---|
| Original dataset | 20 × Repeated measure | 20 × Shuffle | Combined | |
| Fine tree | 0.003 | 0 | 0 | 0 |
| Linear | 1.9 × 10−16 | 2.5 × 10−16 | 6.8 × 10−16 | 5.5 × 10−16 |
| Linear SVM | 0.146 | 0.065 | 0.065 | 0.065 |
The names of the regression methods (fine tree, linear, linear SVM) refer to the preset tools inside the “Model Type” section of the MATLAB® Regression Learner application (all default settings were unchanged).