Computes the binary classification error.
[errAvg, errInd] = err_2class(likpar,y,mX,sigX2)
[errAvg] = err_2class(likpar,y,mX,sigX2)
- returns the percentage of
miclassified items.
Parameters:
likpar
- the likelihood parameter (not used here).
y
- training outputs.
mx
- mean of the GP marginal at the new input.
allErr
- percentage of misclassified inputs
[errAvg, errInd] = err_2class(likpar,y,mX,sigX2)
- returns the
indicators for individual training data.
demogp_class
, demogp_gui
, ogp
, c_class_bin
Copyright (c) Lehel Csató (2001-2004)