Say I've got a predictive classification model based on a random forest (using the randomForest package in R). I'd like to set it up so that end-users can specify an item to generate a prediction for, and it'll output a classification likelihood. So far, no problem.
But it would be useful/cool to be able to output something like a variable importance graph, but for the specific item being predicted, not for the training set. Something like:
Item X is predicted to be a Dog (73% likely)
You get the point. Is there a standard, or at least justifiable, way of extracting this information from a trained random forest? If so, does anyone have code that will do this for the randomForest package?