Skip to main content
. Author manuscript; available in PMC: 2021 Dec 8.
Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2020 Dec 8;17(6):1846–1857. doi: 10.1109/TCBB.2019.2910061

TABLE III.

Performance (mean ± standard deviation) on the prostate LINCS corpus and MOA prediction task.

Classifier Name Accuracy Macro F1
GCNN 67.7 ± 0.76 46.0 ± 0.42
FF-ANN 68.3 ± 0.60 50.4 ± 0.71
KNNs 66.5 ± 0.71 46.2 ± 0.89
Linear Classifier 63.8 ± 0.52 42.6 ± 1.03
Random Forest 60.4 ± 0.48 37.4 ± 0.41
Decision Tree 53.2 ± 1.16 32.6 ± 0.91
Majority Class 34.54 ± 0.05 5.71 ± 0.01