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Table 4 Classification results of the random forest model.

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

Negative dataset TP TN FP FN SN SP ACC
Virus genome 215 669 120 48 81.74% 84.79% 84.03%
Pseudo-8494 198 8306 188 65 75.28% 97.78% 97.11%
Human pre-miRNA 203 1464 136 60 77.18% 91.50% 89.47%