Table 4.
AID | Validity active | Efficiency active | Validity inactive | Efficiency inactive |
---|---|---|---|---|
411 train | 0.856 | 0.809 | 0.815 | 0.771 |
411 test | 0.873 | 0.847 | 0.811 | 0.794 |
868 train | 0.828 | 0.798 | 0.813 | 0.835 |
868 test | 0.825 | 0.844 | 0.805 | 0.862 |
1030 train | 0.823 | 0.654 | 0.819 | 0.636 |
1030 test | 0.832 | 0.677 | 0.807 | 0.653 |
1460 train | 0.864 | 0.864 | 0.816 | 0.88 |
1460 test | 0.748 | 0.944 | 0.805 | 0.957 |
1721 train | 0.868 | 0.918 | 0.842 | 0.899 |
1721 test | 0.869 | 0.933 | 0.835 | 0.907 |
2314 train | 0.813 | 0.81 | 0.807 | 0.808 |
2314 test | 0.801 | 0.833 | 0.803 | 0.819 |
2326 train | 1 | 0.395 | 0.856 | 0.144 |
2326 test | 1 | 0.511 | 0.849 | 0.151 |
2451 train | 0.884 | 0.746 | 0.836 | 0.66 |
2451 test | 0.859 | 0.778 | 0.828 | 0.707 |
2551 train | 0.819 | 0.916 | 0.809 | 0.906 |
2551 test | 0.812 | 0.944 | 0.803 | 0.934 |
485290 train | 1 | 0.51 | 0.86 | 0.15 |
485290 test | 1 | 0.545 | 0.863 | 0.137 |
485314 train | 0.846 | 0.762 | 0.824 | 0.726 |
485314 test | 0.856 | 0.799 | 0.818 | 0.743 |
504444 train | 0.833 | 0.749 | 0.813 | 0.755 |
504444 test | 0.818 | 0.767 | 0.811 | 0.771 |
Train denotes the results from the internal validation and test when the models are applied to the external test set