Research Article
Deep Multiple Kernel Learning for Prediction of MicroRNA Precursors
Table 1
Comparison of prediction performance of LMKL-D with other existing methods.
| Methods | SE | SP | GM | ACC |
| Triplet-SVM (libSVM) [7] | 79.47 | 88.30 | 83.77 | 83.90 | miPred (libSVM) [19] | 84.55 | 97.97 | 91.01 | 93.50 | MiPred (random forest) [28] | 89.35 | 93.21 | 91.26 | 91.29 | BPNN (3 layer) | 94.64 | 95.44 | 95.04 | 95.18 | LMKL-D | 93.06 | 99.27 | 96.11 | 98.03 |
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