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Table 3 Prediction power of the selected SVM model

From: Predicting substrates of the human breast cancer resistance protein using a support vector machine method

 

TP

FN

TN

FP

ACC

SE

SP

MCC

Training set

89

15

38

25

76.0

85.6

60.3

0.478

Test set

31

4

11

10

75.0

88.6

52.4

0.448

External set

19

6

10

5

72.5

76.0

66.7

0.422

  1. TP, true positive; TN, true negative; FP, false positive; FN, false negative; ACC, accuracy (overall prediction accuracy); SP, specificity (prediction accuracy for the non-substrates); SE, sensitivity (prediction accuracy for the substrates); MCC, the Matthews correlation coefficient (a more balanced prediction parameter than ACC).
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BMC Bioinformatics

ISSN: 1471-2105

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