Patent ID: 7124054

Claim:
A method for accuracy display for a model, where, for each case in a testing data set containing one or more associated data items, said model predicts a basket containing a number k of predicted data items associated with said case, where said model produces an associated probability for said predictions, and where said associated data items and said predicted data items are contained in a set of possible associated data items comprising: for each case, removing one of said associated data items from said case to produce a modified case and using said model to predict a basket of predicted data items given said modified case; for each case, determining if said one of said associated data items removed from said case is contained in said basket predicted by said model; producing a visual representation on a computer monitor of an associative prediction evaluation on a graph of at least two dimensions comprising at least two data points where for each of said data points: (a) a data point set of said cases from among said testing data set has been selected such that no case in said data point set has a lower associated probability for said basket of predictions made by said model than any case not in said data point set, (b) a first coordinate of said data points corresponds to the number of cases in said data point set, and (c) a second coordinate of said data points corresponds to the number of correct predictions for cases contained in said data point set.