Why wouldn’t it be? It’s just the same linear model but with a different link function. None of the various points about human underperformance or base rate neglect etc seems to change if it’s a binomial vs a negative binomial vs a over-dispersed Poisson vs a logistic vs a… It’s all just a general linear model.
I meant in terms of the way people use the word “SPR”—of course, if a linear model performs better than experts, than I would expect a linear model for the logit to as well, and if it doesn’t, that doesn’t change the point of the argument because you can just use the linear model.
It seems like you could do better with a logit model
p = logistic( \sum_i w_i c_i ) that is, logit(p) = log odds(p) = \sum_i w_i c_i
Are these also called SPR’s?
Why wouldn’t it be? It’s just the same linear model but with a different link function. None of the various points about human underperformance or base rate neglect etc seems to change if it’s a binomial vs a negative binomial vs a over-dispersed Poisson vs a logistic vs a… It’s all just a general linear model.
I meant in terms of the way people use the word “SPR”—of course, if a linear model performs better than experts, than I would expect a linear model for the logit to as well, and if it doesn’t, that doesn’t change the point of the argument because you can just use the linear model.