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Table 2 The results of classification using RF and SVM.

From: Novel topological descriptors for analyzing biological networks

Classifier

Attributes

Acc.

Sens.

Spec.

Prec.

F-Measure

Random Forest

16

67.2

69.1

65.0

69.1

69.1

Random Forest

Best 7

65.5

68.3

62.0

68.7

68.5

   SVM

16

68.2

80.1

53.7

67.9

73.5

   SVM

Best 7

65.2

78.7

48.7

65.2

71.3

  1. The results of the graph classification using RF and SVM are presented in this table. In particular every tested classifier is applied by using both all the descriptors and only the best seven. The main statistical quantities are calculated for the evaluation: Accuracy (Acc.), Sensitivity (Sens.), Specificity (Spec.), Precision (Prec.), and F-Measure