Skip to main content

Table 3 Accuracy of the random forest prediction rule in training and validation data

From: Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis

 

Training set (n = 86)

Validation set (n = 42)

Error rate (%)

9.1

16.7

Sensitivity (%)

97.5

93.3

Specificity (%)

74.8

58.3

AUC

0.93

0.89

  1. AUC area under the curve
Back to article page

Journal of Biological Research-Thessaloniki

ISSN: 2241-5793

Contact us