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Table 2 Comparison of average AUC between GEP and other machine learning based methods.

From: Prediction of essential proteins based on gene expression programming

Methods

AUC

GEP

0.773

SVM

0.577

SMO

0.608

NaiveBayes

0.744

Bayes Network

0.731

RBF Network

0.669

J48

0.687

Random Tree

0.612

Random Forest

0.721

NaiveBayes Tree

0.746

Acencio

0.778

  1. This table shows the average AUC values of our GEP classifiers and some machine learning methods.
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BMC Genomics

ISSN: 1471-2164

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