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 |