Patent Document ID: 8370279
Application ID: 13248474

Base Claim:
1. A computer-implemented method comprising: receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output; generating a trained predictive model using a first subset of the initial training data and a training function; generating intermediate training records including inputting input data of a second subset of the initial training records to the trained predictive model, each intermediate training record having a score; and generating a score normalization model using a score normalization training function and the intermediate training records.

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Claim 5:
5. The method of claim 1 , further comprising: determining a high-end score for the scores of the intermediate training records; identifying an intermediate training record having a score greater than the high-end score; and changing the score of the identified intermediate training record to be the high-end score.