Table 3 Classification results of the SVM 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 | 213 | 661 | 128 | 50 | 80.98% | 83.77% | 83.07% |
Pseudo-8494 | 202 | 8403 | 91 | 61 | 76.80% | 98.92% | 98.26% |
Human pre-miRNA | 204 | 1498 | 102 | 59 | 77.56% | 93.62% | 91.35% |