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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