Selected article for: "correlation coefficient and linear correlation"

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_16
    Snippet: In situations where the correlation is not necessarily linear, the Spearman's rank correlation coefficient (SRC) is more appropriate. In this measure each prediction is ranked on the basis of the prediction score and the PCC is calculated on the basis of this rank rather than the prediction score. The SRC, like the AUC, is a threshold-independent measure of how well the predictor ranks the data when compared with the actual ranking......
    Document: In situations where the correlation is not necessarily linear, the Spearman's rank correlation coefficient (SRC) is more appropriate. In this measure each prediction is ranked on the basis of the prediction score and the PCC is calculated on the basis of this rank rather than the prediction score. The SRC, like the AUC, is a threshold-independent measure of how well the predictor ranks the data when compared with the actual ranking.

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