We consider the maximum likelihood parameter estimation problem for a generalized Thurstone choice model, where choices are top-1 items from comparison sets of two or more items. We provide tight characterizations of the mean square error, as well as necessary and sufficient conditions for correct classification when each item belongs to one of two classes. These results provide insights into h...