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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
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Genome Biology

ISSN: 1474-760X

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