Table 3. Five-fold cross-validation performance for five SVM models trained from MDDLogo-identified motifs.
Dataset | Number of positive data | Number of negative data | Sn | Sp | Acc | MCC | AUC |
---|---|---|---|---|---|---|---|
All data | 710 | 5,676 | 0.72 | 0.73 | 0.73 | 0.38 | 0.78 |
Palm1 | 112 | 895 | 0.82 | 0.83 | 0.83 | 0.50 | 0.87 |
Palm2 | 104 | 831 | 0.81 | 0.81 | 0.81 | 0.48 | 0.86 |
Palm3 | 183 | 1463 | 0.83 | 0.84 | 0.84 | 0.53 | 0.89 |
Palm4 | 107 | 856 | 0.79 | 0.81 | 0.81 | 0.47 | 0.86 |
Palm5 | 204 | 1631 | 0.73 | 0.73 | 0.73 | 0.39 | 0.79 |
Combined result | 710 | 5676 | 0.79 | 0.80 | 0.80 | 0.45 | 0.85 |