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Table 3 The performance of the classifiers in predicting mutations of KatG against isoniazid

From: Predicting rifampicin resistance mutations in bacterial RNA polymerase subunit beta based on majority consensus

 

DT

kNN

NB

PNN

SVM

MC

Precision

0.61

0.53

0.72

0.55

0.69

0.66

Recall

0.85

0.88

0.70

0.83

0.88

0.93

Specificity

0.55

0.37

0.78

0.45

0.67

0.61

Accuracy

0.69

0.60

0.72

0.62

0.76

0.75

F-measure

0.71

0.66

0.71

0.66

0.77

0.77

  1. DT decision tree, kNN k nearest neighbors, NB naïve Bayes, PNN probabilistic neural network, SVM support vector machine, MC majority consensus, AUC area under the curve
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BMC Bioinformatics

ISSN: 1471-2105

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