Table 2.

The results of classification using RF and SVM.

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

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