System and method for mining model accuracy display

Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement

Reexamination Certificate

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Reexamination Certificate

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07124054

ABSTRACT:
Systems and methods are provided for producing displays of the accuracy of data mining or statistical models that produce associative predictions. For all cases in a testing data set, the model makes predictions and provides associated probabilities. The cases are sorted by their probability of making accurate predictions and a graph is made of the accuracy of the model over various subsets containing the highest probability cases as evaluated by the model. Where a number of probabilities are presented for the predictions in a basket of predictions, those probabilities are combined to yield a probability score for the entire basket. Additionally, the accuracy of a model over different basket sizes may be graphed. The accuracy graph may also be produced for any models making a prediction, by graphing the probability of making accurate predictions and a graph made of the accuracy of the model over various subsets of the data containing the highest probability cases.

REFERENCES:
patent: 6535817 (2003-03-01), Krishnamurti
patent: 6810357 (2004-10-01), Tang et al.
Agrawal, R. et al., “Mining Association Rules Between Sets of Items in Large Databases”,Proceedings of the 1993 ACM SIGMOD Conference, May 1993, 1-10.

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