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Table 2 Performance comparison between psRNA-target, Target-align and p-TAREF.

From: Employing machine learning for reliable miRNA target identification in plants

  psRNA target Target-align P-TAREF (polynomial kernel)
  Beauclair et al. ASRP Beauclair et al. ASRP Beauclair et al. ASRP
TP 81 119 64 103 104 262
FN 23 168 40 184 0 25
TN 119 119 119 119 119 119
FP 0 0 0 0 0 0
Sn 77.88 41.16 61.53 35.888 100 91.29
Sp 100 100 100 100 100 100
MCC 0.81 0.4146 0.678 0.4586 1 0.86
ACU% 89.68 58.620 82.06 50.800 100 93.84
  1. *TP = True Positive, FP = False positive, TN = True Negative, FN = False negative, Sn = sensitivity, Sp = Specificity, MCC = Mathew Correlation Coefficient; Ac = Accuracy.
  2. For experimentally validated targets, derived from two different sources, the tools were compared for performance. In the given table, p-TAREF was compared and found performing better than the compared tools for the given datasets. Performance related testing details are given in text, Additional File 1 as well as at server's performance page. The observed MCC value suggests about the robustness of model implemented in p-TAREF.