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Table 6 Classification results of the random forest model using the 40 features with the highest F-scores.

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

Negative dataset TP TN FP FN SN SP ACC
Virus genome 219 686 103 44 83.26% 86.94% 86.02%
Pseudo-8494 201 8368 126 62 76.42% 98.51% 97.85%
Human pre-miRNA 208 1473 127 55 79.08% 92.06% 90.23%