Table 4.
WCMS vs. State-of-the-Art Methods in a 10-fold Cross-Validation Scenario (ACC).
Project | Baseline Methods |
RF |
XGB |
LGBM |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
EALR | MULTI | DEJIT | LT | AGE | CCUM | FI | MO | FI | MO | FI | MO | |
BUG | 0.286 | 0.696 | 0.769 | 0.477 | 0.413 | 0.785 | 0.618 | 0.639 | 0.553 | 0.619 | 0.518 | 0.619 |
COL | 0.400 | 0.696 | 0.786 | 0.626 | 0.687 | 0.812 | 0.745 | 0.798 | 0.592 | 0.761 | 0.498 | 0.771 |
JDT | 0.323 | 0.626 | 0.715 | 0.523 | 0.476 | 0.745 | 0.735 | 0.762 | 0.531 | 0.760 | 0.536 | 0.708 |
PLA | 0.305 | 0.684 | 0.605 | 0.459 | 0.385 | 0.765 | 0.716 | 0.781 | 0.526 | 0.769 | 0.575 | 0.747 |
MOZ | 0.180 | 0.511 | 0.748 | 0.375 | 0.244 | 0.605 | 0.817 | 0.832 | 0.541 | 0.859 | 0.475 | 0.821 |
POS | 0.356 | 0.613 | 0.700 | 0.519 | 0.464 | 0.705 | 0.756 | 0.808 | 0.590 | 0.785 | 0.614 | 0.812 |
MEAN | 0.308 | 0.638 | 0.721 | 0.497 | 0.445 | 0.736 | 0.731 | 0.770 | 0.556 | 0.759 | 0.536 | 0.746 |