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Table 3 Estimates of performance metrics for discriminating target-based resistant proteins from non-resistant proteins, under different features

From: DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins

Feature

Sn

Sp

Ac

Pre

MCC

AUC-ROC

AAC

0.912 ± 0.031

0.940 ± 0.055

0.926 ± 0.034

0.941 ± 0.052

0.854 ± 0.068

0.879 ± 0.045

DPC

0.924 ± 0.090

0.981 ± 0.041

0.952 ± 0.057

0.979 ± 0.043

0.909 ± 0.111

0.924 ± 0.083

PAAC

0.919 ± 0.029

0.947 ± 0.053

0.933 ± 0.034

0.948 ± 0.051

0.868 ± 0.067

0.880 ± 0.043

CTD

0.855 ± 0.037

0.945 ± 0.047

0.900 ± 0.034

0.941 ± 0.049

0.804 ± 0.069

0.844 ± 0.028

ACF

0.915 ± 0.037

0.927 ± 0.054

0.921 ± 0.037

0.928 ± 0.051

0.844 ± 0.074

0.846 ± 0.043

  1. Sn Sensitivity, Sp Specificity, Ac Accuracy, Pre Precision, MCC Matthew’s correlation coefficient, AUC-ROC area under ROC curves