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Table 2 Predictive performance of CSHMM and miPred on a common test dataset.

From: Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)

(a) CSHMM

  

Actual

 

Predicted

 

miRNA

non-miRNA

 
 

miRNA

63(16.75)

4(50.25)

67

 

non-miRNA

19(65.25)

242(195.75)

261

  

82 (dataset D1)

246 (datasetD2)

328

(b) miPred

  

Actual

 

Predicted

 

miRNA

non-miRNA

 
 

miRNA

64(17.25)

5(51.75)

69

 

non-miRNA

18(64.75)

241(194.25)

259

  

82 (dataset D1)

246 (dataset D2)

328

  1. The number in parentheses following each entry is the expected value of the entry under the hypothesis that the actual class is independent of the predicted one. Estimates of predictive accuracy, sensitivity and specificity of CSHMM (a) from this table are 0.930 (93.0%), 0.768 (76.8%), and 0.984 (98.4%) respectively. For miPred (b) these are 0.930 (93.0%), 0.780 (78.0%) and 0.980 (98.0%) respectively.