Table 2 A summary of predictive performance in the training and independent test sets of the prediction models with averaged coefficients
From: Multimodel inference for biomarker development: an application to schizophrenia
Training set (Cologne) | Independent test set (Rotterdam) | ||
|---|---|---|---|
Schizophrenia patients | 60 | 9 | |
Controls | 77 | 12 | |
(a) | Training set | Independent test set | |
Number of features | AUC | AUC | |
Model with >0.80 inclusion fraction | 6 | 0.807 Males only 0.851 Females only 0.751 | Males only 0.880 |
Model with relative feature importance >0.90 | 8 | 0.821 Males only 0.863 Females only 0.773 | Males only 0.917 |
(b) | |||
Model with >0.80 inclusion fraction | 17 with 5 first-order interactions with sex | 0.858 Males only 0.890 Females only 0.819 | Males only 0.889 |
Model with relative feature importance >0.90 | 13 with 3 first-order interactions with sex | 0.854 Males only 0.887 Females only 0.818 | Males only 0.815 |
