bSVM | MKL |
---|
| BA [%] | ROC-AUC | Sens [%] | Spec [%] | | BA [%] | ROC-AUC | Sens [%] | Spec [%] |
---|
FA | 47.8 | .42 | 47 | 48 | FA + MD + AD + RD | 49.4 | 41 | 44 | 60 |
MD | 50.0 | .54 | 55 | 42 | 06LDHs + 18LDHs + 26LDHs | 56.1 | 60 | 54 | 56 |
AD | 50.0 | .44 | 40 | 47 | 06LDHk + 18LDHk + 26LDHk | 58.1 | 52 | 56 | 41 |
RD | 50.0 | .54 | 48 | 41 | | | | | |
06LDHs | 49.4 | .54 | 40 | 44 | | | | | |
18LDHs | 56.6 | .57 | 49 | 41 | | | | | |
26LDHs | 53.1 | .53 | 51 | 60 | | | | | |
06LDHk | 55.2 | .52 | 51 | 56 | | | | | |
18LDHk | 53.1 | .53 | 60 | 63 | | | | | |
- Besides BA and ROC-AUC. Sens and Spec are listed to enhance the transparency of reported ROC-AUC results
- AD Axial diffusivity, BA Balanced accuracy, bSVM Binary Support vector machine, FA Fractional anisotropy, LDH Local diffusion homogeneity, MD Mean diffusivity, MKL Multiple-kernel learning, RD Radial diffusivity, ROC-AUC Receiver operator characteristics area under the curve, Sens Sensitivity, Spec Specificity, SN Substantia nigra