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Table 4 A comparison of the proposed model with machine learning models has been considered

From: PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features

ML

ACC (%)

SP (%)

SN (%)

MCC

PSSM-Sumo

98.71

99.68

97.72

0.974

SVM

95.32

96.08

94.62

0.911

RF

95.11

95.82

94.38

0.908

KNN

92.76

93.91

91.52

0.881