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Table 4 Predictive power of combined features on RB144 data set.

From: Exploiting structural and topological information to improve prediction of RNA-protein binding sites

AUC MCC SN[%] SP[%] Classifier Patch type Features
0.77 0.30 73.8 67.1 NB sequential Profile+aRC
0.78 0.33 84.6 54.8 NB topological Profile+aRC+aBC
0.79 0.32 76.9 65.7 NB spatial Profile+ASA
0.79 0.34 84.3 56.2 NB spatial Profile+ASA+aBC+aRC
0.79 0.34 78.4 66.0 SVM sequential Profile+aRC
0.81 0.36 81.1 65.1 SVM topological Profile+aRC+aBC
0.82 0.38 81.1 66.7 SVM spatial Profile+ASA
0.83 0.39 82.0 66.8 SVM spatial Profile+ASA+aBC+aRC
  1. Predictive power of combined features on RB144 data set using five-fold cross-validation tests. C-value for SVM was 1.0 and γ-value of RBF-kernel was 0.01. Cost factor was 5.7.