Table 3

Prediction performance breakdown in terms of the categories of RNA using the training dataset, RB147

Predictor

RNA

TP

FP

TN

FN

Sensitivity

Specificity

Precision

Accuracy

MCC

F-score

F0.5-score


ProteRNASVM

rRNA

2060

537

5814

1856

52.60%

91.54%

79.32%

76.69%

0.4933

0.6326

0.7201

mRNA

27

16

1606

229

10.55%

99.01%

62.79%

86.95%

0.2193

0.1806

0.3154

tRNA

234

171

11000

996

19.02%

98.47%

57.78%

90.59%

0.2942

0.2862

0.4105

others

109

93

6930

646

14.44%

98.68%

53.96%

90.50%

0.2441

0.2278

0.3487


Total

2430

823

25344

3727

39.47%

96.86%

74.70%

85.92%

0.4741

0.5165

0.6338

ProteRNAWildSpan

rRNA

554

412

5939

3362

14.15%

93.51%

57.35%

63.24%

0.1274

0.2270

0.3560

mRNA

67

121

1501

189

26.17%

92.54%

35.64%

83.49%

0.2139

0.3018

0.3323

tRNA

50

173

10998

1180

4.07%

98.45%

22.42%

89.09%

0.0566

0.0688

0.1178

others

85

272

6751

670

11.26%

96.13%

23.81%

87.89%

0.1045

0.1529

0.1947


Total

756

978

25189

5401

12.28%

96.26%

43.60%

80.27%

0.1489

0.1916

0.2887

ProteRNA

rRNA

2256

878

5473

1660

57.61%

86.18%

71.98%

75.28%

0.4618

0.6400

0.6856

mRNA

89

138

1484

167

34.77%

91.49%

39.21%

83.76%

0.2764

0.3685

0.3823

tRNA

238

304

10867

992

19.35%

97.28%

43.91%

89.55%

0.2431

0.2686

0.3502

others

177

366

6657

578

23.44%

94.79%

32.60%

87.86%

0.2118

0.2727

0.3024

Total

2760

1686

24481

3397

44.83%

93.56%

62.08%

84.28%

0.4376

0.5206

0.5764


Huang et al. BMC Genomics 2010 11(Suppl 4):S2   doi:10.1186/1471-2164-11-S4-S2

Open Data