Task & dataset | Classification performance metric | Classification performance | Nominally superior method | P-value | |
---|---|---|---|---|---|
 |  | SVM | RF |  |  |
Dx-Alon | AUC | 0.938 | 0.917 | SVM | 0.626 |
Dx-Ramaswamy2 | AUC | 0.821 | 0.781 | SVM | 0.624 |
Dx-Shipp | AUC | 0.992 | 0.975 | SVM | 0.502 |
Dx-Singh | AUC | 0.964 | 0.972 | RF | 0.812 |
Px-Beer | AUC | 0.798 | 0.648 | SVM | 0.016 |
Px-Bhattacharjee | AUC | 0.519 | 0.561 | RF | 0.550 |
Px-Iizuka | AUC | 0.713 | 0.763 | RF | 0.750 |
Px-Pomeroy | AUC | 0.692 | 0.629 | SVM | 0.506 |
Px-Rosenwald | AUC | 0.689 | 0.631 | SVM | 0.128 |
Px-Veer | AUC | 0.758 | 0.754 | SVM | 0.954 |
Px-Yeoh | AUC | 0.777 | 0.716 | SVM | 0.082 |
Dx-Alizadeh | RCI | 1.000 | 1.000 | - | 1 |
Dx-Armstrong | RCI | 0.944 | 0.911 | SVM | 0.624 |
Dx-Bhattacharjee | RCI | 0.895 | 0.817 | SVM | 0.125 |
Dx-Golub | RCI | 0.953 | 0.934 | SVM | 1 |
Dx-Khan | RCI | 1.000 | 1.000 | - | 1 |
Dx-Nutt | RCI | 0.812 | 0.733 | SVM | 0.220 |
Dx-Pomeroy | RCI | 0.823 | 0.688 | SVM | 0.079 |
Dx-Ramaswamy | RCI | 0.911 | 0.880 | SVM | 0.066 |
Dx-Staunton | RCI | 0.876 | 0.856 | SVM | 0.626 |
Dx-Su | RCI | 0.958 | 0.922 | SVM | 0.078 |
Px-Veer2 | RCI | 0.451 | 0.371 | SVM | 0.262 |