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Table 7 Performance comparison with previous studies using a partial dataset.

From: ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors

Tool Positive dataset/negative dataset TP TN FP FN SN SP ACC Balanced ACC MCC
Triplet-SVM   44 171 18 19 69.84% 90.47% 85.32% 80.15% 0.61
MiPred   41 175 14 22 65.07% 92.59% 85.71% 78.83% 0.60
miPred   42 177 12 21 66.66% 93.65% 86.90% 80.16% 0.64
miR-KDE 63/189 39 176 13 24 61.90% 93.18% 85.31% 77.51% 0.59
microPred   48 159 30 15 76.54% 84.12% 82.14% 80.16% 0.56
MiRenSVM   45 161 28 18 71.45% 85.21% 81.75% 78.30% 0.54
miR-BAG   46 166 23 17 73.01% 87.83% 84.13% 80.42% 0.59
Our approach   50 164 25 13 79.36% 86.77% 84.92% 83.06% 0.63