I am developing algorithm for solving following problem:
Given a set of items with unknown feature(s) (but know distribution of feature(s)). Algorithm must choose what items to measure(every measure has some cost)). I use Value of information theory to find this measurements.
After measurements are done algorithm choose K best items from the set, using some utility function that depends on feature values of items.
I crafted few synthetic data sets, but perhaps there are some benchmark data sets that are used for this kind of problems?