Table 8.
Wilcoxon signed-rank test results comparing classifier pairs on validation set metrics across all datasets.
| ALC vs. | Dataset | P-value | |||
|---|---|---|---|---|---|
| Loss | Accuracy | Overfitting | Time | ||
| XGB | Iris Flower | 0.432 | 0.872 | 0.481 | 0.493 |
| SVM | Iris Flower | 0.012 | 0.950 | 0.008 | 0.025 |
| MLP | Iris Flower | 0.006 | 0.951 | 0.021 | 0.001 |
| LR | Iris Flower | 0.037 | 0.042 | 0.029 | 0.017 |
| XGB | Breast Cancer | 0.004 | 0.015 | 0.007 | 0.970 |
| SVM | Breast Cancer | 0.001 | 0.009 | 0.013 | 0.064 |
| MLP | Breast Cancer | 0.015 | 0.011 | 0.012 | 0.004 |
| LR | Breast Cancer | 0.000 | 0.020 | 0.001 | 0.005 |
| XGB | Wine | 0.022 | 0.763 | 0.012 | 0.974 |
| SVM | Wine | 0.893 | 0.004 | 0.706 | 0.002 |
| MLP | Wine | 0.005 | 0.681 | 0.023 | 0.003 |
| LR | Wine | 0.031 | 0.822 | 0.748 | 0.002 |
| XGB | Voice Gender | 0.011 | 0.019 | 0.005 | 0.951 |
| SVM | Voice Gender | 0.000 | 0.002 | 0.007 | 0.001 |
| MLP | Voice Gender | 0.851 | 0.804 | 0.029 | 0.002 |
| LR | Voice Gender | 0.019 | 0.781 | 0.003 | 0.001 |
| XGB | MNIST | 0.001 | 0.014 | 0.004 | 0.993 |
| SVM | MNIST | 0.003 | 0.043 | 0.012 | 0.945 |
| MLP | MNIST | 0.001 | 0.017 | 0.008 | 0.936 |
| LR | MNIST | 0.002 | 0.041 | 0.009 | 0.898 |