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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.