Research Article
Radial Basis Function-Sparse Partial Least Squares for Application to Brain Imaging Data
Table 2
The result for sPLS without basis expansion and with, respectively, for 100 simulated data sets.
| Knots distance | | | 1st component | 2nd component | Sensitivity | Specificity | C-index | Sensitivity | Specificity | C-index |
|
Original sPLS: without basis expansion | | | | | | | 0 | 40 | 50 | 0.26 | 0.99 | 0.25 | 0.30 | 0.99 | 0.29 | 100 | 0.34 | 0.99 | 0.33 | 0.39 | 0.99 | 0.38 | 80 | 50 | 0.37 | 0.99 | 0.36 | 0.43 | 1.00 | 0.43 | 100 | 0.39 | 0.99 | 0.38 | 0.44 | 1.00 | 0.44 |
|
RBF-sPLS: with basis expansion | | | | | | | 2 | 40 | 50 | 1.00 | 0.60 | 0.60 | 1.00 | 0.68 | 0.68 | 100 | 1.00 | 0.86 | 0.86 | 1.00 | 0.87 | 0.87 | 80 | 50 | 1.00 | 0.73 | 0.73 | 1.00 | 0.75 | 0.75 | 100 | 1.00 | 0.84 | 0.84 | 1.00 | 0.88 | 0.88 | 4 | 40 | 50 | 1.00 | 0.29 | 0.29 | 1.00 | 0.13 | 0.13 | 100 | 1.00 | 0.29 | 0.29 | 1.00 | 0.04 | 0.04 | 80 | 50 | 1.00 | 0.27 | 0.27 | 1.00 | 0.13 | 0.13 | 100 | 1.00 | 0.21 | 0.21 | 1.00 | 0.08 | 0.08 | 8 | 40 | 50 | 1.00 | 0.08 | 0.08 | 1.00 | 0.06 | 0.06 | 100 | 1.00 | 0.05 | 0.05 | 1.00 | 0.00 | 0.00 | 80 | 50 | 1.00 | 0.05 | 0.05 | 1.00 | 0.01 | 0.01 | 100 | 1.00 | 0.02 | 0.02 | 1.00 | 0.00 | 0.00 |
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