Table 1.
|
LRa | SVMb | RFc | MLPd | XGBe | Support (0, 1) |
Fold 1 | 0.826 | 0.825 | 0.853 | 0.833 | 0.866 f | (83,113, 50,188) |
Fold 2 | 0.827 | 0.826 | 0.851 | 0.835 | 0.868 | (83,538, 50,310) |
Fold 3 | 0.824 | 0.824 | 0.850 | 0.821 | 0.865 | (84,192, 50,585) |
Fold 4 | 0.824 | 0.823 | 0.850 | 0.831 | 0.864 | (83,969, 50,460) |
Fold 5 | 0.822 | 0.821 | 0.848 | 0.834 | 0.863 | (82,918, 50,394) |
Value, mean (SD) | 0.824 (0.002) | 0.824 (0.002) | 0.850 (0.002) | 0.831 (0.005) | 0.865 (0.002) | N/Ag |
aLR: logistic regression.
bSVM: support vector machine.
cRF: random forest.
dMLP: multilayer perceptron.
eXGB: extreme gradient boosting.
fThe italicized values indicate the highest score of each fold.
gN/A: not applicable.