five

Rule summary for the whole training set when applying the simplified machine learning approach consisting of human-understandable attributes (ML-simple) for prediction of IVIG binding.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Rule_summary_for_the_whole_training_set_when_applying_the_simplified_machine_learning_approach_consisting_of_human_understandable_attributes_ML_simple_for_prediction_of_IVIG_binding_/846879
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aDetails on the attributes, including the two summary factors “Summary Factor 2” and “Summary Factor 5” that combine 494 amino acid properties, are given in File S3 (2. Attributes for Machine Learning).bWhether the rules state the value of the attribute should be high or low for a peptide to be binding.cThe percentage of binding peptides that were correctly classified by rules containing the attribute. This percentage roughly corresponds to the importance of the attribute.
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2015-12-02
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