Possibly, but not out of the box. One way to deal with this is to build multiple models for the different patterns of data that you have.
Another way is to build models that can sample the missing variables from a predictive model and then use these as inputs for a more complete model. Then you can use the distribution of the outputs for predictive purposes. But your specific case will tell. Your most important priority will be to figure out how to test models realistically off-line. On Wed, Nov 17, 2010 at 1:12 PM, Radu Spineanu <[email protected]>wrote: > Would it work if we had partial data, like only age?
