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Table 2 Comparison with other machine learning methods on GPCRs classes

From: Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks

Methods Acc Sen Pre F1 AUC
Our model 0.920 0.899 0.866 0.882 0.968
KNN 0.830 0.852 0.703 0.770 0.897
Random Forests 0.912 0.856 0.878 0.867 0.958
  1. The highest values are highlighted in bold