search for: predicted_probability

I have 1000 oberved binary reponses Y, and I also have 1000 predictited probabilities predicted_prob (between 0 and 1) for those observed reponses. How can I plot a gain chart in R? Thanks. -- View this message in context: http://www.nabble.com/how-to-plot-a-gains-chart-in-R--tp25083628p25083628.html Sent from the R help mailing list archive at Nabble.com.

....fit=T argument in predict(), so would it make sense to get standard error for posterior probability from lda() and how? Another question about standard error estimate from glm(): is it ok to calculate 95% CI for the predicted probability using the standard error based on normal apprximation, i.e. predicted_probability +/- 1.96 * standard_error? Thanks John [[alternative HTML version deleted]]

...ty of items in that range. In English I would explain it as, "Of the data where our SVM predicted a true probability of 70-80%, the data was actually 71% true." It might be really helpful to be able to graph this somehow. (Again, There must be some package in R for this??) With mean(predicted_probability) on one axis and mean(true_probability) on the other axis. Any thoughts, comments, ideas, etc. would be appreciated! Thank You