Patent ID: 7379843

Claim:
A method for accuracy display for a data mining model, where said model predicts, for each case in a testing data set, a specific state from among a state set of at least two possible states of a multi-state variable and where said model determines an associated probability for each state prediction of said multi-state variable, and where the correctness of said state prediction is verifiable, comprising: determining, using said testing data set, said state predictions of said multi-state variable; sorting said state predictions according to a probability that said state prediction of said multi-state variable is correct; comparing said state predictions of said multi-state variable to a known actual state of the multi-state variable; producing a visual representation of a multi-state prediction evaluation on a graph of at least two dimensions comprising at least two data points where for each of said data points: (1) 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 the prediction made by said model than any case not in said data point set, (2) a first coordinate of said data points corresponds to a number of cases in said data point set, and (3) a second coordinate of said data points corresponds to a number of correct predictions of said multi-state variable for cases contained in said data point set, wherein the first coordinate is represented on an x-axis of the graph and is expressed as a percentage of a total number of cases, and the second coordinate is represented on a y-axis of the graph and is expressed as a percentage of correctly predicted cases of the multi-state variable.