Table 11 XGBoost accuracies (mean ± standard deviation in %) for the external AIBL data set
Exclusion method | Number of training subjects excluded | |||||
|---|---|---|---|---|---|---|
(base model) | 0 | 50 | 100 | 150 | 200 | 250 |
Random (-) | 60.00 ±5.00 | 55.00 ±3.98 | 57.50 ±4.06 | 55.71 ±2.37 | 52.14 ±5.35 | 51.07 ±4.80 |
LOO (LR) | 60.00 ±5.00 | 58.93 ±3.29 | 61.79 ±4.53 | 63.21 ±3.93 | 58.21 ±3.93 | 59.64 ±4.80 |
LOO (RF) | 60.00 ±5.00 | 59.64 ±5.99 | 61.43 ±5.71 | 61.79 ±2.79 | 61.07 ±4.64 | 56.07 ±4.53 |
Data Shapley (LR) | 60.00 ±5.00 | 61.07 ±3.73 | 61.43 ±3.85 | 62.14 ±3.98 | 63.21 ±5.31 | 61.07 ±1.92 |
Data Shapley (RF) | 60.00 ±5.00 | 64.64 ±5.64 | 62.86 ±2.86 | 62.86 ±1.75 | 61.79 ±2.29 | 58.57 ±2.37 |