Task & dataset | Classification performance metric | Classification performance | Nominally superior method | P-value | |
---|---|---|---|---|---|
 |  | SVM | RF |  |  |
Dx-Alon | AUC | 0.867 | 0.867 | - | 1 |
Dx-Ramaswamy2 | AUC | 0.821 | 0.767 | SVM | 0.409 |
Dx-Shipp | AUC | 0.992 | 0.973 | SVM | 0.500 |
Dx-Singh | AUC | 0.964 | 0.944 | SVM | 0.377 |
Px-Beer | AUC | 0.798 | 0.646 | SVM | 0.032 |
Px-Bhattacharjee | AUC | 0.519 | 0.561 | RF | 0.546 |
Px-Iizuka | AUC | 0.663 | 0.763 | RF | 0.061 |
Px-Pomeroy | AUC | 0.692 | 0.600 | SVM | 0.235 |
Px-Rosenwald | AUC | 0.689 | 0.629 | SVM | 0.140 |
Px-Veer | AUC | 0.747 | 0.754 | RF | 0.867 |
Px-Yeoh | AUC | 0.777 | 0.660 | SVM | 0.006 |
Dx-Alizadeh | RCI | 1.000 | 1.000 | - | 1 |
Dx-Armstrong | RCI | 0.944 | 0.894 | SVM | 0.658 |
Dx-Bhattacharjee | RCI | 0.895 | 0.763 | SVM | 0.015 |
Dx-Golub | RCI | 0.939 | 0.934 | SVM | 1 |
Dx-Khan | RCI | 1.000 | 1.000 | - | 1 |
Dx-Nutt | RCI | 0.775 | 0.733 | SVM | 0.498 |
Dx-Pomeroy | RCI | 0.823 | 0.611 | SVM | 0.031 |
Dx-Ramaswamy | RCI | 0.905 | 0.861 | SVM | 0.010 |
Dx-Staunton | RCI | 0.770 | 0.819 | RF | 0.249 |
Dx-Su | RCI | 0.958 | 0.910 | SVM | 0.004 |
Px-Veer2 | RCI | 0.451 | 0.304 | SVM | 0.004 |