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Table 2 Results of the Method Comparison on the Classification Task

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

Method

ROC-AUC

PR-AUC

ACC

MTLSynergy

0.90±0.02

0.62±0.05

0.94±0.01

PRODeepSyn

0.90±0.03

0.63±0.05

0.93±0.01

TranSynergy*

0.91±0.01

0.63±0.01

–

AuDnnSynergy

0.91±0.02

0.63±0.06

0.93±0.01

DeepSynergy

0.90±0.03

0.59±0.06

0.92±0.03

Gradient Tree Boosting

0.90±0.01

0.56±0.05

0.93±0.01

Random Forest

0.87±0.02

0.52±0.05

0.91±0.01

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