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Table 3 The performance evaluated on a balanced dataset

From: CURE-Chloroplast: A chloroplast C-to-U RNA editing predictor for seed plants

Organism

Sen

Spe

PPV

ACC

BA

MCC

Arabidopsis thaliana

71.43%

100.00%

100.00%

85.71%

85.71%

0.75

Atropa belladonna

92.59%

100.00%

100.00%

96.30%

96.30%

0.93

Nicotiana sylvestris

91.43%

100.00%

100.00%

95.71%

95.71%

0.92

Nicotiana tabacum

90.63%

100.00%

100.00%

95.31%

95.31%

0.91

Nicotiana tomentosiformis

90.91%

100.00%

100.00%

95.45%

95.45%

0.91

Oryza sativa

100.00%

100.00%

100.00%

100.00%

100.00%

1.00

Phalaenopsis aphrodite

40.48%

100.00%

100.00%

70.24%

70.24%

0.50

Pinus thunbergii

64.29%

100.00%

100.00%

82.14%

82.14%

0.69

Pisum sativum

76.92%

100.00%

100.00%

88.46%

88.46%

0.79

Saccharum officinarum

100.00%

100.00%

100.00%

100.00%

100.00%

1.00

Zea mays

96.00%

100.00%

100.00%

98.00%

98.00%

0.96

Over All

80.88%

100.00%

100.00%

90.44%

90.44%

0.82

  1. Sen means sensitivity, Spe means specificity, PPV means positive predictive value, ACC means accuracy, BA means balanced accuracy and MCC means Matthew's correlation coefficient. On the balanced dataset, the BA always equals the ACC.