Table 3 Performance of support vector machine classifiers.
From: Predicting siRNA potency with random forests and support vector machines
Classifier | Accuracy (%) | Sensitivity (%) | Specificity (%) | MCC | AUC |
|---|---|---|---|---|---|
RF_Features | 70.71 | 73.94 | 66.09 | 0.3983 | 0.7529 |
All_Features | 68.93 | 76.97 | 57.39 | 0.3499 | 0.7372 |
Seq_Features | 65.36 | 68.48 | 60.87 | 0.2912 | 0.6624 |