Dear all,
I have some growth curve data from an experiment that I try to fit using
lm and lmer. The curves describe the growth of classification accuracy
with the amount of training data t, so basically
y ~ 0 + t (there is no intercept because y=0 at t0)
Since the growth is somewhat nonlinear
Classification accuracy is an improper scoring rule, and one of the
problems with it is that the proportional classified correctly can be
quite good even if the model uses no predictors. [Hence omitting the
intercept is also potentially problematic.]
Frank E Harrell Jr Professor and
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