Table 4. Cross validation performance for nQi in the Early-PD and De-novo datasets.
Test dataset | Train dataset | Area Under the ROC curve (AUC) |
---|---|---|
Early-PD | De-novo | 0.92 |
De-novo | Early-PD | 0.77 |
Combined | 0.81 |
The nQi scores for the combined dataset are generated by combining the output of the cross-validation of Early-PD and De-novo dataset, without any further training. The AUC scores allow a reliable comparison of the performance even when the number of PD and Controls is not fully balanced as in the Early-PD and De-novo datasets evaluated independently.