On 04/10/15 05:07, George Bezerra wrote: > I am trying to follow this paper: > http://research.microsoft.com/en-us/um/people/mattri/papers/www2007/predictingclicks.pdf > (check out section 6.2). They use logistic regression as a regression > model to predict the click through rate (which is continuous).
I am not sure what to think about this, though I don't have time to look at it in detail. But modelling rates is usually a case for Poisson regression rather than logistic regression. Rate and probability is not the same. > A linear regression model will violate the assumption that probabilities > vary between 0 and 1 (it will give me values outside this range in some > cases). I would think it is in principle possible to solve the logistic > regression for a continuous value, although scikit doesn't support it. The word you are looking for is 'generalized linear model'. Sturla ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
