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Table 1 Results of the Method Comparison on the Regression Task

From: Predicting anticancer synergistic drug combinations based on multi-task learning

Method

MSE

RMSE

PCC

MTLSynergy

216.47±37.32

14.66±1.26

0.76±0.02

PRODeepSyn

229.49±42.81

15.09±1.37

0.75±0.02

TranSynergy*

231 ± 21

–

0.75±0.02

AuDnnSynergy

241.12±43.52

15.46±1.44

0.74±0.03

DeepSynergy

255.49

15.91±1.56

0.73±0.04

Gradient Tree Boosting

274.88±44.97

16.53±1.33

0.69±0.02

Random Forest

360.15±51.32

18.93±1.34

0.57±0.02

  1. Boldface indicates the best value of each column in a particular metric
  2. *TranSynergy excludes certain cell lines from O’Neil dataset