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Table 3 AUC scores of bortezomib sensitivity prediction algorithms in multiple myeloma patients on the test set

From: A link prediction approach to cancer drug sensitivity prediction

m 280 278 275 272 269 MAUC
d 9114 9114 9114 9114 9114
A1 + SVR + L 0.668 0.669 0.665 0.663 0.656 0.664
A1 + SVR + S 0.638 0.623 0.637 0.642 0.662 0.640
A1 + RR 0.685 0.673 0.679 0.677 0.690 0.681
m + A1 145 144 143 141 140
d + A1 18,228 18,228 18,228 18,228 18,228
A2 + SVR + L 0.678 0.678 0.671 0.668 0.654 0.670
A2 + SVR + S 0.661 0.657 0.659 0.659 0.668 0.661
A2 + RR 0.686 0.689 0.696 0.695 0.699 0.693
m + A2 145 144 143 141 140
d + A2 9114 9114 9114 9114 9114
B + SVR + L 0.613 0.609 0.622 0.628 0.632 0.621
B + SVR + S 0.602 0.600 0.601 0.605 0.598 0.601
B + RR 0.614 0.611 0.603 0.607 0.606 0.608
  1. The algorithm with the highest AUC is shown in bold. MAUC = mean AUC