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Table 3 Results of SVM prediction using Bayes Feature Extraction

From: In silico prediction of the granzyme B degradome

SVM classifier Sensitivity (%) Specificity (%) Accuracy (%) AROC
P2P2-Bayes 71.00 71.00 71.00 0.78
P4P1-Bayes 79.00 74.00 76.50 0.84
P4P2-Bayes 82.00 80.00 81.00 0.89
P4P4’-Bayes 82.00 81.00 81.50 0.91
P6P6-Bayes 86.00 84.00 85.00 0.91
P8P8-Bayes 89.00 84.00 86.50 0.93
P10P10-Bayes 87.00 85.00 86.00 0.94
P14P10-Bayes 88.00 82.00 85.00 0.94