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Table 2 Classifier performance metrics for CysPresso

From: CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

Measure

Non-knottin CDP model

Knottin model

AUC

0.798

0.852

Sensitivity

0.853

0.764

Specificity

0.584

0.812

Precision

0.743

0.783

Accuracy

0.742

0.789

F1 Score

0.794

0.773

  1. The performance of the non-knottin and knottin CysPresso models were evaluated by leave-one-out cross-validation
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BMC Bioinformatics

ISSN: 1471-2105

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