Dataset | Model | Original Number of Features | Accuracy | Specificity | Sensitivity | Average Number of Features |
---|---|---|---|---|---|---|
MCI-C vs. MCI-NC | 3D DWT | 1,359,872 | 0.8574 ± 0.0073 | 0.8564 ± 0.0068 | 0.8555 ± 0.0099 | 271.8 ± 79.35 |
LBP-3D | 262,144 | 0.7644 ± 0.0395 | 0.7497 ± 0.0291 | 0.8100 ± 0.0237 | 232.6 ± 29.28 | |
LBP-309 | 309 | 0.8361 ± 0.0209 | 0.8453 ± 0.0264 | 0.8363 ± 0.0238 | 194.5 ± 59.68 | |
LBP-20 | 20 | 0.8432 ± 0.0131 | 0.8416 ± 0.0093 | 0.8411 ± 0.0132 | 16 ± 2.49 | |
3D DWT + LBP-20 | 140 | 0.8877 ± 0.0167 | 0.8916 ± 0.0216 | 0.9016 ± 0.0054 | 15.3 ± 2.40 | |
MCI vs. CN | 3D DWT | 1,359,872 | 0.8834 ± 0.0072 | 0.8846 ± 0.0064 | 0.8802 ± 0.0072 | 235.6 ± 95.01 |
LBP-3D | 262,144 | 0.7763 ± 0.0267 | 0.7805 ± 0.0331 | 0.7900 ± 0.0342 | 230.4 ± 3 8.29 | |
LBP-309 | 309 | 0.8791 ± 0.0134 | 0.8780 ± 0.0167 | 0.8631 ± 0.0158 | 188 ± 67.42 | |
LBP-20 | 20 | 0.8847 ± 0.0086 | 0.8699 ± 0.0137 | 0.8575 ± 0.0115 | 15.1 ± 2.33 | |
3D DWT + LBP-20 | 140 | 0.9031 ± 0.0137 | 0.9015 ± 0.0168 | 0.9022 ± 0.0134 | 16.2 ± 1.39 |