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Table 1 Performance results of SVM-BAC using 162 training and 54 test complexes.

From: Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes

Method

Training

10-CV

SEN

SPE

AUC

Test

(n complexes)

SEN

SPE

AUC

SVM-BAC

85.80%

0.888

0.827

0.86

83.33% (54)

0.888

0.777

0.82

SMO [11]

76.1%

0.756

0.767

0.76

83.3% (30)

0.813

0.857

0.84

  1. SEN (Sensitivity), SPE (Specificity) and AUC (Area under the ROC curve)
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BMC Bioinformatics

ISSN: 1471-2105

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