Table 5.
The wRs of the proposed methods (oRF-L1-soft) and other regression methods (Lasso regression, ridge regression, and SVM) across all the 4 future time points
Method | wR
|
|||
---|---|---|---|---|
MMSE | CDR-SOB | CDR-GLOB | ADAS-cog | |
Lasso | 0.775 | 0.793 | 0.777 | 0.802 |
Ridge | 0.789 | 0.799 | 0.781 | 0.809 |
SVM | 0.786 | 0.788 | 0.775 | 0.793 |
oRF-L1 | 0.811 | 0.815 | 0.787 | 0.810 |
oRF-L1-soft | 0.821 | 0.824 | 0.796 | 0.820 |
The best results are shown in bold.
Key: ADAS-cog, Alzheimer’s disease assessment scale–cognitive subscale; CDR-GLOB, clinical dementia rating–global; CDR-SOB, clinical dementia rating–sum of boxes; MMSE, Mini-Mental State Examination; oRF-L1, oblique RF with the L1 norm constraint; oRF-L1-soft, oblique RF with L1 and soft split; SVM, support vector machine; wRs, weighted Pearson’s correlation coefficients.