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Table 3 Accuracy of different cleavage prediction models developed on cattle neuropeptides

From: Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches

  Cleavage Prediction Model
  AA1 AA-Prop2
Model Accuracy Statistic LR3 ANT4 LR ANT
True Negative 669 691 667 690
True Positive 44 43 50 46
False Negative 41 42 35 39
False Positive 77 55 79 56
Correct Classification Rate (%) 86 88 86 89
Sensitivity (%) 52 51 59 54
Specificity (%) 90 93 89 92
Area under receiver operating characteristic curve (%) 76 76 82 78
  1. 1AA = Models developed using only amino acids
  2. 2 AA-Prop = Models developed using amino acids plus amino acid physiochemical properties
  3. 3LR = Models developed using logistic regression
  4. 4 ANT = Models developed using artificial neural networks