Author: Lundegaard, Claus; Lund, Ole; Kesmir, Can; Brunak, Søren; Nielsen, Morten
Title: Modeling the adaptive immune system: predictions and simulations Document date: 2007_12_15
ID: 5m269nzi_14
Snippet: The three latter measures are also easily grasped, however they are all dependent on the chosen prediction cutoff classifying the data into positive and negative predictions. A high sensitivity can be obtained by setting your prediction cutoff so that most of your evaluation data will fall into the positive group, but this will then be at the expense of the specificity and the PPV. Which cutoff to use is determined by the purpose of the predictio.....
Document: The three latter measures are also easily grasped, however they are all dependent on the chosen prediction cutoff classifying the data into positive and negative predictions. A high sensitivity can be obtained by setting your prediction cutoff so that most of your evaluation data will fall into the positive group, but this will then be at the expense of the specificity and the PPV. Which cutoff to use is determined by the purpose of the prediction, i.e. how many verified epitopes is needed versus the resources available for experimental validation.
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