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Table 1 Performance comparison with different classifiers

From: KEGG orthology prediction of bacterial proteins using natural language processing

Model

\(\text {Precision}^*\)

\(\text {Recall}^*\)

\(\text {F1}^*\)

LSTM

0.899

0.870

0.884

Attention

0.795

0.798

0.797

ProtT5

0.960

0.967

0.963

  1. Best performance is marked in bold. The ProtT5 model exhibits superior performance across all evaluation metrics
  2. In order to distinguish the experimental results of the classifier from the entire pipeline, precision, recall, and F1 here are marked with asterisks as superscripts
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BMC Bioinformatics

ISSN: 1471-2105

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