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Table 3 Performance of tools derived from contingency table with Ensembl dataset (n = 114,868,082)

From: Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants

 

SVM-BPfinder

BPP

Branchpointer

LaBranchoR

RNABPS

Cutoff

0.706

5.384

0.653

0.653

TP

166,135

198,708

252,967

171,511

193,430

FP

36,526,998

28,315,554

583,920

40,370,908

30,878,750

TN

72,145,972

86,003,592

114,019,375

74,232,290

83,724,448

FN

84,113

65,422

11,820

93,276

71,357

Missing data

5,944,864

284,806

0

97

97

AUC

0.728

0.819

0.711

0.811

Accuracy

66.39%

75.23%

99.48%

64.77%

73.06%

Sensitivity

66.39%

75.23%

95.54%

64.77%

73.05%

Specificity

66.39%

75.23%

99.49%

64.77%

73.06%

PPV

0.45%

0.70%

30.23%

0.42%

0.62%

NPV

99.88%

99.92%

99.99%

99.87%

99.91%

  1. TP (True Positive), FP (False Positive), TN (True Negative), FN (False Negative), AUC (Area Under the Curve), PPV (Positive Predictive Value), NPV (Negative predictive value)