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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