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Table 2 Estimates of performance metrics for classification of detoxification and target-based resistant proteins, under different feature sets

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

Feature

Sn

Sp

Ac

Pre

MCC

AUC-ROC

AAC

0.927 ± 0.020

0.966 ± 0.042

0.946 ± 0.024

0.966 ± 0.041

0.894 ± 0.049

0.960 ± 0.023

DPC

0.967 ± 0.067

0.985 ± 0.031

0.976 ± 0.035

0.986 ± 0.029

0.955 ± 0.065

0.972 ± 0.051

PAAC

0.929 ± 0.016

0.952 ± 0.048

0.941 ± 0.027

0.953 ± 0.046

0.883 ± 0.054

0.956 ± 0.028

CTD

0.895 ± 0.042

0.979 ± 0.035

0.937 ± 0.024

0.979 ± 0.035

0.879 ± 0.047

0.935 ± 0.036

ACF

0.912 ± 0.041

0.927 ± 0.051

0.919 ± 0.037

0.927 ± 0.049

0.840 ± 0.074

0.967 ± 0.021

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