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Table 1 Comparison of area under curves of different algorithms before feature selection

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

Algorithm

AUC before feature selection

Random Forest

0.8835

SVC (RBF)

0.8862

SVC (Polynomial)

0.8752

Naïve Bayes

0.7165

Linear SVC

0.8575

KNN

0.8452