Comparative Analysis on Alignment-Based and Pretrained Feature Representations for the Identification of DNA-Binding Proteins.

As a result, in the case of ESM_All using less than 10% of features, LR and LinSVM still achieve the highest ACC scores as shown with an increasing trend from 1% of features and then a decreasing trend from 4% or 5% of features.

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Finally, in cases of feature sets PSSMR_All, PSSMS_All, and ESM_Avg, the highest ACC values of LR and LinSVM are all achieved at 20% or 30% features, but the ACC curve of ESM_All just shows a decreasing trend with the highest ACC when 10% of features are selected.

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