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Table 2 AUC scores of docetaxel sensitivity prediction algorithms in breast cancer patients on the test set

From: A link prediction approach to cancer drug sensitivity prediction

m 482 478 473 468 463 MAUC
d 6538 6538 6538 6538 6538 −
A1 + SVR + L 0.878 0.864 0.871 0.857 0.871 0.868
A1 + SVR + S 0.871 0.857 0.814 0.828 0.878 0.849
A1 + RR 0.850 0.828 0.821 0.850 0.842 0.838
m + A1 246 244 242 239 237 −
d + A1 13,076 13,076 13,076 13,076 13,076 −
A2 + SVR + L 0.892 0.857 0.864 0.864 0.864 0.868
A2 + SVR + S 0.871 0.850 0.814 0.814 0.878 0.845
A2 + RR 0.857 0.842 0.835 0.835 0.835 0.841
m + A2 246 244 242 239 237 −
d + A2 13,000 13,000 13,000 13,000 13,000 −
B + SVR + L 0.835 0.814 0.800 0.821 0.835 0.821
B + SVR + S 0.842 0.871 0.864 0.857 0.857 0.858
B + RR 0.814 0.814 0.821 0.821 0.821 0.818
  1. The algorithm with the highest AUC is shown in bold. MAUC = mean AUC
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