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Table 5 The comparison of the MultiComb model’s performance in the ablation study for sensitivity scores

From: A multi-task graph deep learning model to predict drugs combination of synergy and sensitivity scores

Performance metrics

\(MSE\)

\(RMSE\)

\(MAE\)

\({R}^{2}\)

\({CC}_{p}\)

\({CC}_{s}\)

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Default Model

17.96

1.53

4.23

0.18

3.00

0.10

0.88

0.01

0.94

0.01

0.94

0.01

With attention only

16.66

1.85

4.08

0.22

2.86

0.13

0.89

0.01

0.94

0.01

0.94

0.01

With task relation only

17.76

1.24

4.21

0.15

2.95

0.14

0.88

0.01

0.94

0.01

0.94

0.01

MultiComb

15.59

1.85

3.94

0.23

2.74

0.14

0.90

0.01

0.95

0.01

0.95

0.01

  1. The best-performing results are shown in bold