From: Sparse sliced inverse regression for high dimensional data analysis
Method | Mean test error | Mean | Mean | Selected metabolites (SE) |
---|---|---|---|---|
Sensitivity (%) | Specificity (%) | \({\widehat{{\varvec{\beta }}}}\) | ||
CISESIR | 0.1955 (0.0150) | 84.62 (2.63) | 72.27 (3.71) | 40.540 (2.634) |
CISELDA | 0.1659 (0.0095) | 80.37 (2.32) | 83.20 (2.32) | 26.280 (1.828) |
MGSDA | 0.1639 (0.0093) | 84.62 (1.36) | 81.47 (2.02) | 16.129 (0.772) |
PLDA | 0.2484 (0.0093) | 89.62 (0.97) | 59.73 (2.36) | 78.200 (2.797) |
MSDA | 0.1458 (0.0068) | 84.75 (1.20) | 86.13 (1.50) | 58.480 (3.770) |