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Table 1 Prediction evaluation of various methods at comorbidity threshold values RR = 0 and RR = 1

From: Prediction of comorbid diseases using weighted geometric embedding of human interactome

  Precision Recall F1-measure Accuracy ROC
Comorbidity_0
 SVM_linear 0.68 0.83 0.75 0.83 0.56
 SVM_RBF 0.90 0.90 0.89 0.90 0.90
 SVM_Polynomial 0.87 0.88 0.86 0.88 0.88
 Random Forest 0.86 0.86 0.83 0.86 0.89
 Module Separation Sab 0.65 0.47 0.37 0.47 0.34
Comorbidity_1
 SVM_linear 0.59 0.60 0.56 0.60 0.62
 SVM_RBF 0.70 0.70 0.69 0.70 0.76
 SVM_Polynomial 0.68 0.68 0.67 0.68 0.72
 Random Forest 0.69 0.70 0.69 0.70 0.74
 Module Separation Sab 0.65 0.47 0.37 0.47 0.34