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Table 2 Comparison of AUC performances of random forest and SVC models before and after feature selection

From: Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques

Algorithm

AUC before feature selection

AUC after feature selection

Random Forest

0.8835

0.8856

SVC (RBF)

0.8862

0.8814

SVC (Polynomial)

0.8752

0.8477

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BMC Bioinformatics

ISSN: 1471-2105

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