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Table 3 The AUPRC and AUROC obtained in 25% of the training data set left out for testing

From: Promotech: a general tool for bacterial promoter recognition

Models AUPRC AUROC
RF-HOT 0.802 0.938
RF-TETRA 0.593 0.844
GRU-0 0.752 0.929
GRU-1 0.778 0.934
GRU-2 0.753 0.929
GRU-3 0.728 0.922
GRU-4 0.728 0.923
LSTM-0 0.734 0.923
LSTM-1 0.744 0.927
LSTM-2 0.739 0.923
LSTM-3 0.748 0.924
LSTM-4 0.748 0.928
  1. The data set used has a 1:10 ratio of positive to negative instances. The numbers in bold indicate the models with the highest AUPRC/AUROC per machine learning method